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It is considered dangerous if the concentration is greater", + "bbox_points": [ + 64.01, + 212.88, + 560.79, + 220.9 + ], + "words": [ + { + "text": "Cadmium", + "bbox_points": [ + 64.01, + 212.88, + 99.39, + 220.9 + ] + }, + { + "text": "Chemical", + "bbox_points": [ + 115.54, + 212.88, + 149.84, + 220.9 + ] + }, + { + "text": "The", + "bbox_points": [ + 169.4, + 212.88, + 183.14, + 220.9 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 185.5, + 212.88, + 235.27, + 220.9 + ] + }, + { + "text": "of", + "bbox_points": [ + 237.66, + 212.88, + 244.73, + 220.9 + ] + }, + { + "text": "cadmium", + "bbox_points": [ + 247.12, + 212.88, + 280.76, + 220.9 + ] + }, + { + "text": "in", + "bbox_points": [ + 283.07, + 212.88, + 290.14, + 220.9 + ] + }, + { + "text": "the", + "bbox_points": [ + 292.54, + 212.88, + 303.86, + 220.9 + ] + }, + { + "text": "water", + "bbox_points": [ + 306.09, + 212.88, + 325.91, + 220.9 + ] + }, + { + "text": "sample.", + "bbox_points": [ + 328.31, + 212.88, + 355.7, + 220.9 + ] + }, + { + "text": "It", + "bbox_points": [ + 358.07, + 212.88, + 363.81, + 220.9 + ] + }, + { + "text": "is", + "bbox_points": [ + 366.18, + 212.88, + 371.84, + 220.9 + ] + }, + { + "text": "considered", + "bbox_points": [ + 374.23, + 212.88, + 413.31, + 220.9 + ] + }, + { + "text": "dangerous", + "bbox_points": [ + 415.67, + 212.88, + 452.59, + 220.9 + ] + }, + { + "text": "if", + "bbox_points": [ + 454.96, + 212.88, + 459.79, + 220.9 + ] + }, + { + "text": "the", + "bbox_points": [ + 462.16, + 212.88, + 473.48, + 220.9 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 475.88, + 212.88, + 525.65, + 220.9 + ] + }, + { + "text": "is", + "bbox_points": [ + 528.04, + 212.88, + 533.69, + 220.9 + ] + }, + { + "text": "greater", + "bbox_points": [ + 536.09, + 212.88, + 560.79, + 220.9 + ] + } + ] + }, + { + "text": "than 0.005 mg/L", + "bbox_points": [ + 177.39, + 223.37, + 237.49, + 231.39 + ], + "words": [ + { + "text": "than", + "bbox_points": [ + 177.39, + 223.37, + 193.62, + 231.39 + ] + }, + { + "text": "0.005", + "bbox_points": [ + 195.99, + 223.37, + 215.65, + 231.39 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 217.59, + 223.37, + 237.49, + 231.39 + ] + } + ] + }, + { + "text": "Chloramine Chemical The concentration of chloramine in the water sample. It is considered dangerous if the concentration is", + "bbox_points": [ + 64.01, + 237.37, + 540.89, + 245.39 + ], + "words": [ + { + "text": "Chloramine", + "bbox_points": [ + 64.01, + 237.37, + 106.59, + 245.39 + ] + }, + { + "text": "Chemical", + "bbox_points": [ + 115.54, + 237.37, + 149.84, + 245.39 + ] + }, + { + "text": "The", + "bbox_points": [ + 169.4, + 237.37, + 183.14, + 245.39 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 185.5, + 237.37, + 235.27, + 245.39 + ] + }, + { + "text": "of", + "bbox_points": [ + 237.66, + 237.37, + 244.73, + 245.39 + ] + }, + { + "text": "chloramine", + "bbox_points": [ + 247.12, + 237.37, + 287.95, + 245.39 + ] + }, + { + "text": "in", + "bbox_points": [ + 290.32, + 237.37, + 297.4, + 245.39 + ] + }, + { + "text": "the", + "bbox_points": [ + 299.79, + 237.37, + 311.11, + 245.39 + ] + }, + { + "text": "water", + "bbox_points": [ + 313.28, + 237.37, + 333.17, + 245.39 + ] + }, + { + "text": "sample.", + "bbox_points": [ + 335.56, + 237.37, + 362.96, + 245.39 + ] + }, + { + "text": "It", + "bbox_points": [ + 365.27, + 237.37, + 371.01, + 245.39 + ] + }, + { + "text": "is", + "bbox_points": [ + 373.44, + 237.37, + 379.09, + 245.39 + ] + }, + { + "text": "considered", + "bbox_points": [ + 381.49, + 237.37, + 420.51, + 245.39 + ] + }, + { + "text": "dangerous", + "bbox_points": [ + 422.93, + 237.37, + 459.79, + 245.39 + ] + }, + { + "text": "if", + "bbox_points": [ + 462.16, + 237.37, + 466.98, + 245.39 + ] + }, + { + "text": "the", + "bbox_points": [ + 469.42, + 237.37, + 480.74, + 245.39 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 483.08, + 237.37, + 532.91, + 245.39 + ] + }, + { + "text": "is", + "bbox_points": [ + 535.24, + 237.37, + 540.89, + 245.39 + ] + } + ] + }, + { + "text": "greater than 4 mg/L", + "bbox_points": [ + 177.39, + 247.86, + 249.34, + 255.88 + ], + "words": [ + { + "text": "greater", + "bbox_points": [ + 177.39, + 247.86, + 202.09, + 255.88 + ] + }, + { + "text": "than", + "bbox_points": [ + 204.43, + 247.86, + 220.66, + 255.88 + ] + }, + { + "text": "4", + "bbox_points": [ + 223.09, + 247.86, + 227.5, + 255.88 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 229.44, + 247.86, + 249.34, + 255.88 + ] + } + ] + }, + { + "text": "Chromium Chemical The concentration of chromium in the water sample. It is considered dangerous if the concentration is greater", + "bbox_points": [ + 64.01, + 261.87, + 564.36, + 269.88 + ], + "words": [ + { + "text": "Chromium", + "bbox_points": [ + 64.01, + 261.87, + 102.92, + 269.88 + ] + }, + { + "text": "Chemical", + "bbox_points": [ + 115.54, + 261.87, + 149.84, + 269.88 + ] + }, + { + "text": "The", + "bbox_points": [ + 169.4, + 261.87, + 183.14, + 269.88 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 185.5, + 261.87, + 235.27, + 269.88 + ] + }, + { + "text": "of", + "bbox_points": [ + 237.66, + 261.87, + 244.73, + 269.88 + ] + }, + { + "text": "chromium", + "bbox_points": [ + 247.12, + 261.87, + 284.28, + 269.88 + ] + }, + { + "text": "in", + "bbox_points": [ + 286.64, + 261.87, + 293.71, + 269.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 296.11, + 261.87, + 307.43, + 269.88 + ] + }, + { + "text": "water", + "bbox_points": [ + 309.66, + 261.87, + 329.49, + 269.88 + ] + }, + { + "text": "sample.", + "bbox_points": [ + 331.88, + 261.87, + 359.27, + 269.88 + ] + }, + { + "text": "It", + "bbox_points": [ + 361.65, + 261.87, + 367.38, + 269.88 + ] + }, + { + "text": "is", + "bbox_points": [ + 369.75, + 261.87, + 375.41, + 269.88 + ] + }, + { + "text": "considered", + "bbox_points": [ + 377.8, + 261.87, + 416.88, + 269.88 + ] + }, + { + "text": "dangerous", + "bbox_points": [ + 419.25, + 261.87, + 456.16, + 269.88 + ] + }, + { + "text": "if", + "bbox_points": [ + 458.53, + 261.87, + 463.36, + 269.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 465.73, + 261.87, + 477.05, + 269.88 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 479.45, + 261.87, + 529.22, + 269.88 + ] + }, + { + "text": "is", + "bbox_points": [ + 531.61, + 261.87, + 537.27, + 269.88 + ] + }, + { + "text": "greater", + "bbox_points": [ + 539.66, + 261.87, + 564.36, + 269.88 + ] + } + ] + }, + { + "text": "than 0.1 mg/L", + "bbox_points": [ + 177.39, + 272.35, + 228.7, + 280.37 + ], + "words": [ + { + "text": "than", + "bbox_points": [ + 177.39, + 272.35, + 193.62, + 280.37 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 195.99, + 272.35, + 206.82, + 280.37 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 208.8, + 272.35, + 228.7, + 280.37 + ] + } + ] + }, + { + "text": "Copper Chemical The concentration of copper in the water sample. It is considered dangerous if the concentration is greater", + "bbox_points": [ + 64.01, + 286.36, + 552.06, + 294.37 + ], + "words": [ + { + "text": "Copper", + "bbox_points": [ + 64.01, + 286.36, + 90.45, + 294.37 + ] + }, + { + "text": "Chemical", + "bbox_points": [ + 115.54, + 286.36, + 149.84, + 294.37 + ] + }, + { + "text": "The", + "bbox_points": [ + 169.4, + 286.36, + 183.14, + 294.37 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 185.5, + 286.36, + 235.27, + 294.37 + ] + }, + { + "text": "of", + "bbox_points": [ + 237.66, + 286.36, + 244.73, + 294.37 + ] + }, + { + "text": "copper", + "bbox_points": [ + 247.12, + 286.36, + 272.01, + 294.37 + ] + }, + { + "text": "in", + "bbox_points": [ + 274.34, + 286.36, + 281.41, + 294.37 + ] + }, + { + "text": "the", + "bbox_points": [ + 283.81, + 286.36, + 295.12, + 294.37 + ] + }, + { + "text": "water", + "bbox_points": [ + 297.35, + 286.36, + 317.24, + 294.37 + ] + }, + { + "text": "sample.", + "bbox_points": [ + 319.58, + 286.36, + 346.97, + 294.37 + ] + }, + { + "text": "It", + "bbox_points": [ + 349.34, + 286.36, + 355.08, + 294.37 + ] + }, + { + "text": "is", + "bbox_points": [ + 357.45, + 286.36, + 363.11, + 294.37 + ] + }, + { + "text": "considered", + "bbox_points": [ + 365.5, + 286.36, + 404.58, + 294.37 + ] + }, + { + "text": "dangerous", + "bbox_points": [ + 406.94, + 286.36, + 443.86, + 294.37 + ] + }, + { + "text": "if", + "bbox_points": [ + 446.23, + 286.36, + 451.06, + 294.37 + ] + }, + { + "text": "the", + "bbox_points": [ + 453.43, + 286.36, + 464.75, + 294.37 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 467.15, + 286.36, + 516.92, + 294.37 + ] + }, + { + "text": "is", + "bbox_points": [ + 519.31, + 286.36, + 524.96, + 294.37 + ] + }, + { + "text": "greater", + "bbox_points": [ + 527.36, + 286.36, + 552.06, + 294.37 + ] + } + ] + }, + { + "text": "than 1.3 mg/L", + "bbox_points": [ + 177.39, + 296.9, + 228.7, + 304.92 + ], + "words": [ + { + "text": "than", + "bbox_points": [ + 177.39, + 296.9, + 193.62, + 304.92 + ] + }, + { + "text": "1.3", + "bbox_points": [ + 195.99, + 296.9, + 206.82, + 304.92 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 208.8, + 296.9, + 228.7, + 304.92 + ] + } + ] + }, + { + "text": "Flouride Chemical The concentration of fluoride in the water sample. 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It is considered dangerous if the concentration is greater", + "bbox_points": [ + 64.01, + 408.87, + 553.7, + 416.88 + ], + "words": [ + { + "text": "Nitrates", + "bbox_points": [ + 64.01, + 408.87, + 92.51, + 416.88 + ] + }, + { + "text": "Chemical", + "bbox_points": [ + 115.54, + 408.87, + 149.84, + 416.88 + ] + }, + { + "text": "The", + "bbox_points": [ + 169.4, + 408.87, + 183.14, + 416.88 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 185.5, + 408.87, + 235.27, + 416.88 + ] + }, + { + "text": "of", + "bbox_points": [ + 237.66, + 408.87, + 244.73, + 416.88 + ] + }, + { + "text": "nitrates", + "bbox_points": [ + 247.13, + 408.87, + 273.64, + 416.88 + ] + }, + { + "text": "in", + "bbox_points": [ + 276.04, + 408.87, + 283.11, + 416.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 285.51, + 408.87, + 296.83, + 416.88 + ] + }, + { + "text": "water", + "bbox_points": [ + 299.0, + 408.87, + 318.88, + 416.88 + ] + }, + { + "text": "sample.", + "bbox_points": [ + 321.28, + 408.87, + 348.67, + 416.88 + ] + }, + { + "text": "It", + "bbox_points": [ + 350.99, + 408.87, + 356.72, + 416.88 + ] + }, + { + "text": "is", + "bbox_points": [ + 359.15, + 408.87, + 364.81, + 416.88 + ] + }, + { + "text": "considered", + "bbox_points": [ + 367.2, + 408.87, + 406.22, + 416.88 + ] + }, + { + "text": "dangerous", + "bbox_points": [ + 408.64, + 408.87, + 445.5, + 416.88 + ] + }, + { + "text": "if", + "bbox_points": [ + 447.87, + 408.87, + 452.7, + 416.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 455.13, + 408.87, + 466.45, + 416.88 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 468.79, + 408.87, + 518.62, + 416.88 + ] + }, + { + "text": "is", + "bbox_points": [ + 520.95, + 408.87, + 526.61, + 416.88 + ] + }, + { + "text": "greater", + "bbox_points": [ + 529.0, + 408.87, + 553.7, + 416.88 + ] + } + ] + }, + { + "text": "than 10 mg/L", + "bbox_points": [ + 177.39, + 419.35, + 226.72, + 427.37 + ], + "words": [ + { + "text": "than", + "bbox_points": [ + 177.39, + 419.35, + 193.62, + 427.37 + ] + }, + { + "text": "10", + "bbox_points": [ + 195.99, + 419.35, + 204.82, + 427.37 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 206.81, + 419.35, + 226.72, + 427.37 + ] + } + ] + }, + { + "text": "Nitrites Chemical The concentration of nitrites in the water sample. It is considered dangerous if the concentration is greater", + "bbox_points": [ + 64.01, + 433.36, + 552.23, + 441.37 + ], + "words": [ + { + "text": "Nitrites", + "bbox_points": [ + 64.01, + 433.36, + 91.05, + 441.37 + ] + }, + { + "text": "Chemical", + "bbox_points": [ + 115.54, + 433.36, + 149.84, + 441.37 + ] + }, + { + "text": "The", + "bbox_points": [ + 169.4, + 433.36, + 183.14, + 441.37 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 185.5, + 433.36, + 235.27, + 441.37 + ] + }, + { + "text": "of", + "bbox_points": [ + 237.66, + 433.36, + 244.73, + 441.37 + ] + }, + { + "text": "nitrites", + "bbox_points": [ + 247.12, + 433.36, + 272.16, + 441.37 + ] + }, + { + "text": "in", + "bbox_points": [ + 274.51, + 433.36, + 281.58, + 441.37 + ] + }, + { + "text": "the", + "bbox_points": [ + 283.98, + 433.36, + 295.3, + 441.37 + ] + }, + { + "text": "water", + "bbox_points": [ + 297.52, + 433.36, + 317.41, + 441.37 + ] + }, + { + "text": "sample.", + "bbox_points": [ + 319.75, + 433.36, + 347.14, + 441.37 + ] + }, + { + "text": "It", + "bbox_points": [ + 349.51, + 433.36, + 355.25, + 441.37 + ] + }, + { + "text": "is", + "bbox_points": [ + 357.62, + 433.36, + 363.28, + 441.37 + ] + }, + { + "text": "considered", + "bbox_points": [ + 365.67, + 433.36, + 404.75, + 441.37 + ] + }, + { + "text": "dangerous", + "bbox_points": [ + 407.11, + 433.36, + 444.03, + 441.37 + ] + }, + { + "text": "if", + "bbox_points": [ + 446.4, + 433.36, + 451.23, + 441.37 + ] + }, + { + "text": "the", + "bbox_points": [ + 453.6, + 433.36, + 464.92, + 441.37 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 467.32, + 433.36, + 517.09, + 441.37 + ] + }, + { + "text": "is", + "bbox_points": [ + 519.48, + 433.36, + 525.13, + 441.37 + ] + }, + { + "text": "greater", + "bbox_points": [ + 527.53, + 433.36, + 552.23, + 441.37 + ] + } + ] + }, + { + "text": "than 1 mg/L", + "bbox_points": [ + 177.39, + 443.9, + 222.3, + 451.92 + ], + "words": [ + { + "text": "than", + "bbox_points": [ + 177.39, + 443.9, + 193.62, + 451.92 + ] + }, + { + "text": "1", + "bbox_points": [ + 195.99, + 443.9, + 200.4, + 451.92 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 202.39, + 443.9, + 222.3, + 451.92 + ] + } + ] + }, + { + "text": "Mercury Chemical The concentration of mercury in the water sample. 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N. et al. - 2024 - Workability, mechanical, durability, and microstructural investigation of sustainable concrete utili/table_03.txt b/Figures/K. N. et al. - 2024 - Workability, mechanical, durability, and microstructural investigation of sustainable concrete utili/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..9cbbb5354fcd302ec1b8b70d315478dac83203d7 --- /dev/null +++ b/Figures/K. N. et al. - 2024 - Workability, mechanical, durability, and microstructural investigation of sustainable concrete utili/table_03.txt @@ -0,0 +1 @@ +Mixing design of the present study diff --git a/Figures/K. N. et al. - 2024 - Workability, mechanical, durability, and microstructural investigation of sustainable concrete utili/table_04.jpg b/Figures/K. 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0.15 Nil", + "bbox_points": [ + 43.43, + 171.62, + 514.09, + 179.91 + ], + "words": [ + { + "text": "B-FA-10", + "bbox_points": [ + 43.43, + 171.9, + 72.58, + 179.91 + ] + }, + { + "text": "þ", + "bbox_points": [ + 74.1, + 171.62, + 80.26, + 179.62 + ] + }, + { + "text": "1%SN", + "bbox_points": [ + 81.81, + 171.9, + 104.71, + 179.91 + ] + }, + { + "text": "2,933", + "bbox_points": [ + 211.8, + 171.9, + 231.47, + 179.91 + ] + }, + { + "text": "0.15", + "bbox_points": [ + 337.32, + 171.9, + 352.57, + 179.91 + ] + }, + { + "text": "Nil", + "bbox_points": [ + 502.69, + 171.9, + 514.09, + 179.91 + ] + } + ] + }, + { + "text": "B-FA-10 þ 2%SN 1,852 0.02 Nil", + "bbox_points": [ + 43.43, + 185.62, + 514.09, + 193.91 + ], + "words": [ + { + "text": "B-FA-10", + "bbox_points": [ + 43.43, + 185.9, + 72.58, + 193.91 + ] + }, + { + "text": "þ", + "bbox_points": [ + 74.1, + 185.62, + 80.26, + 193.62 + ] + }, + { + "text": "2%SN", + "bbox_points": [ + 81.81, + 185.9, + 104.71, + 193.91 + ] + }, + { 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"text": "J-FA-10", + "bbox_points": [ + 43.43, + 241.85, + 69.75, + 249.87 + ] + }, + { + "text": "þ", + "bbox_points": [ + 71.26, + 241.57, + 77.42, + 249.57 + ] + }, + { + "text": "1%SN", + "bbox_points": [ + 79.03, + 241.85, + 101.93, + 249.87 + ] + }, + { + "text": "2,699", + "bbox_points": [ + 211.8, + 241.85, + 231.47, + 249.87 + ] + }, + { + "text": "0.13", + "bbox_points": [ + 337.32, + 241.85, + 352.57, + 249.87 + ] + }, + { + "text": "Nil", + "bbox_points": [ + 502.69, + 241.85, + 514.09, + 249.87 + ] + } + ] + }, + { + "text": "J-FA-10 þ 2%SN 1,767 0.01 Nil", + "bbox_points": [ + 43.43, + 255.58, + 514.1, + 263.87 + ], + "words": [ + { + "text": "J-FA-10", + "bbox_points": [ + 43.43, + 255.86, + 69.75, + 263.87 + ] + }, + { + "text": "þ", + "bbox_points": [ + 71.26, + 255.58, + 77.42, + 263.58 + ] + }, + { + "text": "2%SN", + "bbox_points": [ + 79.03, + 255.86, + 101.93, + 263.87 + ] + }, + { + "text": "1,767", + "bbox_points": [ + 211.81, + 255.86, + 231.47, + 263.87 + ] + 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43.43, + 283.86, + 69.3, + 291.88 + ] + }, + { + "text": "1,929", + "bbox_points": [ + 211.81, + 283.86, + 231.47, + 291.88 + ] + }, + { + "text": "0.07", + "bbox_points": [ + 337.32, + 283.86, + 352.57, + 291.88 + ] + }, + { + "text": "Nil", + "bbox_points": [ + 502.7, + 283.86, + 514.1, + 291.88 + ] + } + ] + }, + { + "text": "N-FA-10 1,850 0.04 Nil", + "bbox_points": [ + 43.43, + 297.87, + 514.1, + 305.88 + ], + "words": [ + { + "text": "N-FA-10", + "bbox_points": [ + 43.43, + 297.87, + 73.72, + 305.88 + ] + }, + { + "text": "1,850", + "bbox_points": [ + 211.81, + 297.87, + 231.47, + 305.88 + ] + }, + { + "text": "0.04", + "bbox_points": [ + 337.32, + 297.87, + 352.57, + 305.88 + ] + }, + { + "text": "Nil", + "bbox_points": [ + 502.7, + 297.87, + 514.1, + 305.88 + ] + } + ] + }, + { + "text": "N-FA-10 þ 1%SN 2,301 0.01 Nil", + "bbox_points": [ + 43.43, + 311.59, + 514.1, + 319.88 + ], + "words": [ + { + "text": "N-FA-10", + "bbox_points": [ + 43.43, + 311.87, + 73.72, + 319.88 + ] + 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334.15, + 199.33, + 374.13, + 207.35 + ] + }, + { + "text": "of", + "bbox_points": [ + 376.5, + 199.33, + 383.57, + 207.35 + ] + }, + { + "text": "severe", + "bbox_points": [ + 385.96, + 199.33, + 408.22, + 207.35 + ] + } + ] + }, + { + "text": "droughts will be higher", + "bbox_points": [ + 287.26, + 209.82, + 370.45, + 217.84 + ], + "words": [ + { + "text": "droughts", + "bbox_points": [ + 287.26, + 209.82, + 318.66, + 217.84 + ] + }, + { + "text": "will", + "bbox_points": [ + 320.99, + 209.82, + 334.31, + 217.84 + ] + }, + { + "text": "be", + "bbox_points": [ + 336.7, + 209.82, + 345.11, + 217.84 + ] + }, + { + "text": "higher", + "bbox_points": [ + 347.47, + 209.82, + 370.45, + 217.84 + ] + } + ] + }, + { + "text": "Aridity Impact of droughts in areas having high Positive", + "bbox_points": [ + 126.14, + 220.37, + 475.63, + 228.38 + ], + "words": [ + { + "text": "Aridity", + "bbox_points": [ + 126.14, + 220.37, + 151.11, + 228.38 + ] + }, + { + "text": "Impact", + "bbox_points": [ + 279.27, + 220.37, + 304.55, + 228.38 + ] + }, + { + "text": "of", + "bbox_points": [ + 306.93, + 220.37, + 314.01, + 228.38 + ] + }, + { + "text": "droughts", + "bbox_points": [ + 316.4, + 220.37, + 347.74, + 228.38 + ] + }, + { + "text": "in", + "bbox_points": [ + 350.13, + 220.37, + 357.21, + 228.38 + ] + }, + { + "text": "areas", + "bbox_points": [ + 359.6, + 220.37, + 378.23, + 228.38 + ] + }, + { + "text": "having", + "bbox_points": [ + 380.58, + 220.37, + 404.54, + 228.38 + ] + }, + { + "text": "high", + "bbox_points": [ + 406.88, + 220.37, + 422.7, + 228.38 + ] + }, + { + "text": "Positive", + "bbox_points": [ + 447.7, + 220.37, + 475.63, + 228.38 + ] + } + ] + }, + { + "text": "aridity in terms of hydrological changes", + "bbox_points": [ + 287.26, + 230.85, + 430.02, + 238.87 + ], + "words": [ + { + "text": "aridity", + "bbox_points": [ + 287.26, + 230.85, + 310.39, + 238.87 + ] + }, + { + "text": "in", + "bbox_points": [ + 312.77, + 230.85, + 319.85, + 238.87 + ] + }, + { + "text": "terms", + "bbox_points": [ + 322.24, + 230.85, + 342.31, + 238.87 + ] + }, + { + "text": "of", + "bbox_points": [ + 344.64, + 230.85, + 351.71, + 238.87 + ] + }, + { + "text": "hydrological", + "bbox_points": [ + 354.1, + 230.85, + 398.63, + 238.87 + ] + }, + { + "text": "changes", + "bbox_points": [ + 401.05, + 230.85, + 430.02, + 238.87 + ] + } + ] + }, + { + "text": "will be more as compared to areas of low", + "bbox_points": [ + 287.26, + 241.34, + 435.83, + 249.36 + ], + "words": [ + { + "text": "will", + "bbox_points": [ + 287.26, + 241.34, + 300.57, + 249.36 + ] + }, + { + "text": "be", + "bbox_points": [ + 302.97, + 241.34, + 311.38, + 249.36 + ] + }, + { + "text": "more", + "bbox_points": [ + 313.79, + 241.34, + 332.31, + 249.36 + ] + }, + { + "text": "as", + "bbox_points": [ + 334.71, + 241.34, + 342.2, + 249.36 + ] + }, + { + "text": "compared", + "bbox_points": [ + 344.58, + 241.34, + 380.37, + 249.36 + ] + }, + { + "text": "to", + "bbox_points": [ + 382.79, + 241.34, + 389.94, + 249.36 + ] + }, + { + "text": "areas", + "bbox_points": [ + 392.31, + 241.34, + 410.95, + 249.36 + ] + }, + { + "text": "of", + "bbox_points": [ + 413.35, + 241.34, + 420.42, + 249.36 + ] + }, + { + "text": "low", + "bbox_points": [ + 422.76, + 241.34, + 435.83, + 249.36 + ] + } + ] + }, + { + "text": "aridity", + "bbox_points": [ + 287.26, + 251.83, + 310.39, + 259.85 + ], + "words": [ + { + "text": "aridity", + "bbox_points": [ + 287.26, + 251.83, + 310.39, + 259.85 + ] + } + ] + }, + { + "text": "Annual renewable water availability Renewable water availability of more than Negative", + "bbox_points": [ + 126.14, + 262.32, + 479.26, + 270.34 + ], + "words": [ + { + "text": "Annual", + "bbox_points": [ + 126.14, + 262.32, + 152.69, + 270.33 + ] + }, + { + "text": "renewable", + "bbox_points": [ + 155.0, + 262.32, + 191.62, + 270.33 + ] + }, + { + "text": "water", + "bbox_points": [ + 193.78, + 262.32, + 213.66, + 270.33 + ] + }, + { + "text": "availability", + "bbox_points": [ + 215.89, + 262.32, + 254.97, + 270.33 + ] + }, + { + "text": "Renewable", + "bbox_points": [ + 279.27, + 262.32, + 318.27, + 270.33 + ] + }, + { + "text": "water", + "bbox_points": [ + 320.49, + 262.32, + 340.37, + 270.33 + ] + }, + { + "text": "availability", + "bbox_points": [ + 342.6, + 262.32, + 381.6, + 270.33 + ] + }, + { + "text": "of", + "bbox_points": [ + 383.87, + 262.32, + 390.94, + 270.33 + ] + }, + { + "text": "more", + "bbox_points": [ + 393.28, + 262.32, + 411.85, + 270.33 + ] + }, + { + "text": "than", + "bbox_points": [ + 414.26, + 262.32, + 430.48, + 270.33 + ] + }, + { + "text": "Negative", + "bbox_points": [ + 447.7, + 262.32, + 479.26, + 270.34 + ] + } + ] + }, + { + "text": "1,700 m3/capita/year is considered as", + "bbox_points": [ + 287.26, + 271.33, + 422.59, + 280.88 + ], + "words": [ + { + "text": "1,700", + "bbox_points": [ + 287.26, + 272.86, + 306.93, + 280.88 + ] + }, + { + "text": "m3/capita/year", + "bbox_points": [ + 308.86, + 271.33, + 363.21, + 280.88 + ] + }, + { + "text": "is", + "bbox_points": [ + 365.61, + 272.87, + 371.27, + 280.88 + ] + }, + { + "text": "considered", + "bbox_points": [ + 373.66, + 272.87, + 412.74, + 280.88 + ] + }, + { + "text": "as", + "bbox_points": [ + 415.11, + 272.87, + 422.59, + 280.88 + ] + } + ] + }, + { + "text": "secure", + "bbox_points": [ + 287.26, + 283.35, + 310.14, + 291.37 + ], + "words": [ + { + "text": "secure", + "bbox_points": [ + 287.26, + 283.35, + 310.14, + 291.37 + ] + } + ] + }, + { + "text": "Flood proneness ‘Flood-prone’ areas are more susceptible to Positive", + "bbox_points": [ + 126.14, + 293.56, + 475.63, + 301.86 + ], + "words": [ + { + "text": "Flood", + "bbox_points": [ + 126.14, + 293.84, + 146.94, + 301.86 + ] + }, + { + "text": "proneness", + "bbox_points": [ + 149.27, + 293.84, + 185.59, + 301.86 + ] + }, + { + "text": "‘Flood-prone’", + "bbox_points": [ + 279.27, + 293.56, + 326.96, + 301.86 + ] + }, + { + "text": "areas", + "bbox_points": [ + 329.39, + 293.84, + 348.02, + 301.86 + ] + }, + { + "text": "are", + "bbox_points": [ + 350.36, + 293.84, + 361.5, + 301.86 + ] + }, + { + "text": "more", + "bbox_points": [ + 363.91, + 293.84, + 382.42, + 301.86 + ] + }, + { + "text": "susceptible", + "bbox_points": [ + 384.83, + 293.84, + 424.21, + 301.86 + ] + }, + { + "text": "to", + "bbox_points": [ + 426.61, + 293.84, + 433.77, + 301.86 + ] + }, + { + "text": "Positive", + "bbox_points": [ + 447.7, + 293.84, + 475.63, + 301.86 + ] + } + ] + }, + { + "text": "hazards associated with high rainfall", + "bbox_points": [ + 287.26, + 304.33, + 419.05, + 312.35 + ], + "words": [ + { + "text": "hazards", + "bbox_points": [ + 287.26, + 304.33, + 315.39, + 312.35 + ] + }, + { + "text": "associated", + "bbox_points": [ + 317.76, + 304.33, + 354.6, + 312.35 + ] + }, + { + "text": "with", + "bbox_points": [ + 356.94, + 304.33, + 372.91, + 312.35 + ] + }, + { + "text": "high", + "bbox_points": [ + 375.31, + 304.33, + 391.12, + 312.35 + ] + }, + { + "text": "rainfall", + "bbox_points": [ + 393.5, + 304.33, + 419.05, + 312.35 + ] + } + ] + }, + { + "text": "Exposure sub-index", + "bbox_points": [ + 53.24, + 318.33, + 123.27, + 326.35 + ], + "words": [ + { + "text": "Exposure", + "bbox_points": [ + 53.24, + 318.33, + 86.89, + 326.35 + ] + }, + { + "text": "sub-index", + "bbox_points": [ + 89.29, + 318.33, + 123.27, + 326.35 + ] + } + ] + }, + { + "text": "Natural Depth to ground water table Groundwater at shallow depth will be Negative", + "bbox_points": [ + 61.23, + 332.33, + 479.26, + 340.35 + ], + "words": [ + { + "text": "Natural", + "bbox_points": [ + 61.23, + 332.34, + 88.58, + 340.35 + ] + }, + { + "text": "Depth", + "bbox_points": [ + 126.14, + 332.34, + 148.61, + 340.35 + ] + }, + { + "text": "to", + "bbox_points": [ + 150.97, + 332.34, + 158.13, + 340.35 + ] + }, + { + "text": "ground", + "bbox_points": [ + 160.5, + 332.34, + 185.94, + 340.35 + ] + }, + { + "text": "water", + "bbox_points": [ + 188.34, + 332.34, + 208.16, + 340.35 + ] + }, + { + "text": "table", + "bbox_points": [ + 210.56, + 332.34, + 228.04, + 340.35 + ] + }, + { + "text": "Groundwater", + "bbox_points": [ + 279.27, + 332.34, + 327.33, + 340.35 + ] + }, + { + "text": "at", + "bbox_points": [ + 329.56, + 332.34, + 336.1, + 340.35 + ] + }, + { + "text": "shallow", + "bbox_points": [ + 338.52, + 332.34, + 366.1, + 340.35 + ] + }, + { + "text": "depth", + "bbox_points": [ + 368.51, + 332.34, + 388.98, + 340.35 + ] + }, + { + "text": "will", + "bbox_points": [ + 391.3, + 332.34, + 404.61, + 340.35 + ] + }, + { + "text": "be", + "bbox_points": [ + 407.0, + 332.34, + 415.42, + 340.35 + ] + }, + { + "text": "Negative", + "bbox_points": [ + 447.7, + 332.33, + 479.26, + 340.35 + ] + } + ] + }, + { + "text": "susceptible to biological contamination", + "bbox_points": [ + 287.26, + 342.82, + 428.25, + 350.84 + ], + "words": [ + { + "text": "susceptible", + "bbox_points": [ + 287.26, + 342.82, + 326.72, + 350.84 + ] + }, + { + "text": "to", + "bbox_points": [ + 329.05, + 342.82, + 336.2, + 350.84 + ] + }, + { + "text": "biological", + "bbox_points": [ + 338.63, + 342.82, + 373.58, + 350.84 + ] + }, + { + "text": "contamination", + "bbox_points": [ + 375.99, + 342.82, + 428.25, + 350.84 + ] + } + ] + }, + { + "text": "during floods", + "bbox_points": [ + 287.26, + 353.09, + 334.82, + 361.38 + ], + "words": [ + { + "text": "during", + "bbox_points": [ + 287.26, + 353.37, + 310.65, + 361.38 + ] + }, + { + "text": "floods", + "bbox_points": [ + 313.0, + 353.09, + 334.82, + 361.38 + ] + } + ] + }, + { + "text": "Temperature and humidity In areas with cold and humid climate, there Positive", + "bbox_points": [ + 126.14, + 363.85, + 475.63, + 371.87 + ], + "words": [ + { + "text": "Temperature", + "bbox_points": [ + 126.14, + 363.86, + 171.47, + 371.87 + ] + }, + { + "text": "and", + "bbox_points": [ + 173.88, + 363.86, + 187.36, + 371.87 + ] + }, + { + "text": "humidity", + "bbox_points": [ + 189.75, + 363.86, + 221.79, + 371.87 + ] + }, + { + "text": "In", + "bbox_points": [ + 279.27, + 363.86, + 287.17, + 371.87 + ] + }, + { + "text": "areas", + "bbox_points": [ + 289.59, + 363.86, + 308.22, + 371.87 + ] + }, + { + "text": "with", + "bbox_points": [ + 310.57, + 363.86, + 326.54, + 371.87 + ] + }, + { + "text": "cold", + "bbox_points": [ + 328.93, + 363.86, + 344.41, + 371.87 + ] + }, + { + "text": "and", + "bbox_points": [ + 346.79, + 363.86, + 360.27, + 371.87 + ] + }, + { + "text": "humid", + "bbox_points": [ + 362.67, + 363.86, + 385.89, + 371.87 + ] + }, + { + "text": "climate,", + "bbox_points": [ + 388.23, + 363.86, + 416.43, + 371.87 + ] + }, + { + "text": "there", + "bbox_points": [ + 418.79, + 363.86, + 437.08, + 371.87 + ] + }, + { + "text": "Positive", + "bbox_points": [ + 447.7, + 363.85, + 475.63, + 371.87 + ] + } + ] + }, + { + "text": "is high chance of water and food", + "bbox_points": [ + 287.26, + 374.34, + 405.14, + 382.36 + ], + "words": [ + { + "text": "is", + "bbox_points": [ + 287.26, + 374.34, + 292.92, + 382.36 + ] + }, + { + "text": "high", + "bbox_points": [ + 295.31, + 374.34, + 311.13, + 382.36 + ] + }, + { + "text": "chance", + "bbox_points": [ + 313.51, + 374.34, + 339.16, + 382.36 + ] + }, + { + "text": "of", + "bbox_points": [ + 341.52, + 374.34, + 348.59, + 382.36 + ] + }, + { + "text": "water", + "bbox_points": [ + 350.99, + 374.34, + 370.81, + 382.36 + ] + }, + { + "text": "and", + "bbox_points": [ + 373.04, + 374.34, + 386.52, + 382.36 + ] + }, + { + "text": "food", + "bbox_points": [ + 388.91, + 374.34, + 405.14, + 382.36 + ] + } + ] + }, + { + "text": "contamination due to unhygienic", + "bbox_points": [ + 287.26, + 384.83, + 406.39, + 392.85 + ], + "words": [ + { + "text": "contamination", + "bbox_points": [ + 287.26, + 384.83, + 339.58, + 392.85 + ] + }, + { + "text": "due", + "bbox_points": [ + 341.92, + 384.83, + 355.07, + 392.85 + ] + }, + { + "text": "to", + "bbox_points": [ + 357.45, + 384.83, + 364.6, + 392.85 + ] + }, + { + "text": "unhygienic", + "bbox_points": [ + 367.03, + 384.83, + 406.39, + 392.85 + ] + } + ] + }, + { + "text": "conditions and spreading of insect vectors", + "bbox_points": [ + 287.26, + 395.32, + 438.73, + 403.34 + ], + "words": [ + { + "text": "conditions", + "bbox_points": [ + 287.26, + 395.32, + 325.04, + 403.34 + ] + }, + { + "text": "and", + "bbox_points": [ + 327.4, + 395.32, + 340.88, + 403.34 + ] + }, + { + "text": "spreading", + "bbox_points": [ + 343.28, + 395.32, + 377.97, + 403.34 + ] + }, + { + "text": "of", + "bbox_points": [ + 380.3, + 395.32, + 387.37, + 403.34 + ] + }, + { + "text": "insect", + "bbox_points": [ + 389.76, + 395.32, + 410.74, + 403.34 + ] + }, + { + "text": "vectors", + "bbox_points": [ + 413.12, + 395.32, + 438.73, + 403.34 + ] + } + ] + }, + { + "text": "Groundwater stock Act as buffer during droughts. Normally Negative", + "bbox_points": [ + 126.14, + 405.86, + 479.25, + 413.88 + ], + "words": [ + { + "text": "Groundwater", + "bbox_points": [ + 126.14, + 405.86, + 174.15, + 413.88 + ] + }, + { + "text": "stock", + "bbox_points": [ + 176.54, + 405.86, + 195.45, + 413.88 + ] + }, + { + "text": "Act", + "bbox_points": [ + 279.27, + 405.86, + 291.85, + 413.88 + ] + }, + { + "text": "as", + "bbox_points": [ + 294.24, + 405.86, + 301.73, + 413.88 + ] + }, + { + "text": "buffer", + "bbox_points": [ + 304.1, + 405.86, + 325.25, + 413.88 + ] + }, + { + "text": "during", + "bbox_points": [ + 327.63, + 405.86, + 351.01, + 413.88 + ] + }, + { + "text": "droughts.", + "bbox_points": [ + 353.37, + 405.86, + 386.71, + 413.88 + ] + }, + { + "text": "Normally", + "bbox_points": [ + 389.08, + 405.86, + 423.3, + 413.88 + ] + }, + { + "text": "Negative", + "bbox_points": [ + 447.7, + 405.86, + 479.25, + 413.88 + ] + } + ] + }, + { + "text": "available in the alluvial areas, and as", + "bbox_points": [ + 287.26, + 416.35, + 419.76, + 424.37 + ], + "words": [ + { + "text": "available", + "bbox_points": [ + 287.26, + 416.35, + 319.17, + 424.37 + ] + }, + { + "text": "in", + "bbox_points": [ + 321.51, + 416.35, + 328.58, + 424.37 + ] + }, + { + "text": "the", + "bbox_points": [ + 330.97, + 416.35, + 342.29, + 424.37 + ] + }, + { + "text": "alluvial", + "bbox_points": [ + 344.64, + 416.35, + 371.0, + 424.37 + ] + }, + { + "text": "areas,", + "bbox_points": [ + 373.38, + 416.35, + 394.01, + 424.37 + ] + }, + { + "text": "and", + "bbox_points": [ + 396.4, + 416.35, + 409.88, + 424.37 + ] + }, + { + "text": "as", + "bbox_points": [ + 412.27, + 416.35, + 419.76, + 424.37 + ] + } + ] + }, + { + "text": "valley fills along rivers", + "bbox_points": [ + 287.26, + 426.56, + 367.71, + 434.86 + ], + "words": [ + { + "text": "valley", + "bbox_points": [ + 287.26, + 426.84, + 308.04, + 434.86 + ] + }, + { + "text": "fills", + "bbox_points": [ + 310.45, + 426.56, + 323.2, + 434.86 + ] + }, + { + "text": "along", + "bbox_points": [ + 325.59, + 426.84, + 345.4, + 434.86 + ] + }, + { + "text": "rivers", + "bbox_points": [ + 347.75, + 426.84, + 367.71, + 434.86 + ] + } + ] + }, + { + "text": "Occurrence of cyclone with high-speed Cyclones with high-speed winds may Positive", + "bbox_points": [ + 126.14, + 437.33, + 475.63, + 445.34 + ], + "words": [ + { + "text": "Occurrence", + "bbox_points": [ + 126.14, + 437.33, + 168.28, + 445.34 + ] + }, + { + "text": "of", + "bbox_points": [ + 170.65, + 437.33, + 177.72, + 445.34 + ] + }, + { + "text": "cyclone", + "bbox_points": [ + 180.11, + 437.33, + 207.76, + 445.34 + ] + }, + { + "text": "with", + "bbox_points": [ + 209.93, + 437.33, + 225.91, + 445.34 + ] + }, + { + "text": "high-speed", + "bbox_points": [ + 228.25, + 437.33, + 266.62, + 445.34 + ] + }, + { + "text": "Cyclones", + "bbox_points": [ + 279.27, + 437.33, + 311.99, + 445.34 + ] + }, + { + "text": "with", + "bbox_points": [ + 314.36, + 437.33, + 330.34, + 445.34 + ] + }, + { 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"text": "damage", + "bbox_points": [ + 287.26, + 447.82, + 315.16, + 455.83 + ] + }, + { + "text": "the", + "bbox_points": [ + 317.54, + 447.82, + 328.86, + 455.83 + ] + }, + { + "text": "water", + "bbox_points": [ + 331.03, + 447.82, + 350.91, + 455.83 + ] + }, + { + "text": "supply", + "bbox_points": [ + 353.31, + 447.82, + 376.69, + 455.83 + ] + }, + { + "text": "system", + "bbox_points": [ + 378.88, + 447.82, + 402.6, + 455.83 + ] + }, + { + "text": "(WST)", + "bbox_points": [ + 404.96, + 447.82, + 428.52, + 455.83 + ] + }, + { + "text": "or", + "bbox_points": [ + 430.86, + 447.82, + 438.6, + 455.83 + ] + } + ] + }, + { + "text": "affect the power supply thus interrupting", + "bbox_points": [ + 287.26, + 458.36, + 433.67, + 466.38 + ], + "words": [ + { + "text": "affect", + "bbox_points": [ + 287.26, + 458.36, + 306.86, + 466.38 + ] + }, + { + "text": "the", + "bbox_points": [ + 309.2, + 458.36, + 320.52, + 466.38 + ] + }, + { + "text": "power", + "bbox_points": [ + 322.92, + 458.36, + 345.16, + 466.38 + ] + }, + { + "text": "supply", + "bbox_points": [ + 347.58, + 458.36, + 370.97, + 466.38 + ] + }, + { + "text": "thus", + "bbox_points": [ + 373.32, + 458.36, + 388.55, + 466.38 + ] + }, + { + "text": "interrupting", + "bbox_points": [ + 390.9, + 458.36, + 433.67, + 466.38 + ] + } + ] + }, + { + "text": "the supply of water from electrically", + "bbox_points": [ + 287.26, + 468.85, + 416.9, + 476.86 + ], + "words": [ + { + "text": "the", + "bbox_points": [ + 287.26, + 468.85, + 298.58, + 476.86 + ] + }, + { + "text": "supply", + "bbox_points": [ + 300.98, + 468.85, + 324.37, + 476.86 + ] + }, + { + "text": "of", + "bbox_points": [ + 326.55, + 468.85, + 333.62, + 476.86 + ] + }, + { + "text": "water", + "bbox_points": [ + 336.02, + 468.85, + 355.9, + 476.86 + ] + }, + { + "text": "from", + "bbox_points": [ + 358.3, + 468.85, + 375.32, + 476.86 + ] + }, + { + "text": "electrically", + "bbox_points": [ + 377.69, + 468.85, + 416.9, + 476.86 + ] + } + ] + }, + { 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@@ +Areas where surveys were conducted are enlarged and arrows indicate their locations in Peninsular Malaysia. Top left: Kuala Lumpur Federal Territory; Top right: Kota Bharu district, Kelantan; Bottom left: Dengkil, Sepang district; Bottom right: Kajang, Hulu Langat district. 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null +} diff --git a/Figures/Kabirzad et al. - 2024 - Examining direct and indirect flood damages in residential and business sectors through an empirical/table_01.txt b/Figures/Kabirzad et al. - 2024 - Examining direct and indirect flood damages in residential and business sectors through an empirical/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..386f879f1b05fe23ade856cd11f44032b3eda963 --- /dev/null +++ b/Figures/Kabirzad et al. - 2024 - Examining direct and indirect flood damages in residential and business sectors through an empirical/table_01.txt @@ -0,0 +1 @@ +Direct and indirect damage computations for residential and commercial buildings with equations the damages are estimated diff --git a/Figures/Kabirzad et al. - 2024 - Examining direct and indirect flood damages in residential and business sectors through an empirical/table_02.jpg b/Figures/Kabirzad et al. - 2024 - Examining direct and indirect flood damages in residential and business 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(MYR500-20,000)", + "bbox_points": [ + 186.29, + 328.08, + 418.54, + 336.38 + ], + "words": [ + { + "text": "residential", + "bbox_points": [ + 186.29, + 328.36, + 223.67, + 336.38 + ] + }, + { + "text": "(MYR500–10,000)", + "bbox_points": [ + 226.04, + 328.08, + 291.81, + 336.38 + ] + }, + { + "text": "and", + "bbox_points": [ + 294.12, + 328.36, + 307.6, + 336.38 + ] + }, + { + "text": "commercial", + "bbox_points": [ + 310.0, + 328.36, + 352.29, + 336.38 + ] + }, + { + "text": "(MYR500-20,000)", + "bbox_points": [ + 354.67, + 328.36, + 418.54, + 336.38 + ] + } + ] + }, + { + "text": "Living duration or premise Number of years the respondent lives in the area or operated a Continuous variable", + "bbox_points": [ + 72.0, + 342.37, + 501.47, + 350.38 + ], + "words": [ + { + "text": "Living", + "bbox_points": [ + 72.0, + 342.37, + 94.89, + 350.38 + ] + }, + { + "text": "duration", + "bbox_points": [ + 97.23, + 342.37, + 127.56, + 350.38 + ] + }, + { + "text": "or", + "bbox_points": [ + 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363.54, + 350.38 + ] + }, + { + "text": "operated", + "bbox_points": [ + 365.78, + 342.37, + 397.06, + 350.38 + ] + }, + { + "text": "a", + "bbox_points": [ + 399.4, + 342.37, + 403.56, + 350.38 + ] + }, + { + "text": "Continuous", + "bbox_points": [ + 428.82, + 342.37, + 470.4, + 350.38 + ] + }, + { + "text": "variable", + "bbox_points": [ + 472.76, + 342.37, + 501.47, + 350.38 + ] + } + ] + }, + { + "text": "operation years business in the area (1–64 years).", + "bbox_points": [ + 72.0, + 352.58, + 305.07, + 360.87 + ], + "words": [ + { + "text": "operation", + "bbox_points": [ + 72.0, + 352.86, + 106.35, + 360.87 + ] + }, + { + "text": "years", + "bbox_points": [ + 108.68, + 352.86, + 127.18, + 360.87 + ] + }, + { + "text": "business", + "bbox_points": [ + 186.29, + 352.86, + 216.34, + 360.87 + ] + }, + { + "text": "in", + "bbox_points": [ + 218.72, + 352.86, + 225.79, + 360.87 + ] + }, + { + "text": "the", + "bbox_points": [ + 228.13, + 352.86, + 239.45, + 360.87 + ] + }, + { + "text": "area", + "bbox_points": [ + 241.85, + 352.86, + 257.16, + 360.87 + ] + }, + { + "text": "(1–64", + "bbox_points": [ + 259.54, + 352.58, + 279.48, + 360.87 + ] + }, + { + "text": "years).", + "bbox_points": [ + 281.88, + 352.86, + 305.07, + 360.87 + ] + } + ] + }, + { + "text": "Having children With children or not. Dummy variable (Without children", + "bbox_points": [ + 72.0, + 366.86, + 555.66, + 374.87 + ], + "words": [ + { + "text": "Having", + "bbox_points": [ + 72.0, + 366.86, + 98.17, + 374.87 + ] + }, + { + "text": "children", + "bbox_points": [ + 100.52, + 366.86, + 130.24, + 374.87 + ] + }, + { + "text": "With", + "bbox_points": [ + 178.3, + 366.86, + 196.11, + 374.87 + ] + }, + { + "text": "children", + "bbox_points": [ + 198.48, + 366.86, + 228.15, + 374.87 + ] + }, + { + "text": "or", + "bbox_points": [ + 230.51, + 366.86, + 238.25, + 374.87 + ] + }, + { + "text": "not.", + "bbox_points": [ + 240.66, + 366.86, + 254.56, + 374.87 + ] + }, + { + "text": "Dummy", + "bbox_points": [ + 428.83, + 366.86, + 457.98, + 374.87 + ] + }, + { + "text": "variable", + "bbox_points": [ + 460.29, + 366.86, + 489.0, + 374.87 + ] + }, + { + "text": "(Without", + "bbox_points": [ + 491.36, + 366.86, + 523.62, + 374.87 + ] + }, + { + "text": "children", + "bbox_points": [ + 526.0, + 366.86, + 555.66, + 374.87 + ] + } + ] + }, + { + "text": "under 14 years old ¼ 0, with ¼ 1)", + "bbox_points": [ + 436.82, + 377.12, + 554.3, + 385.42 + ], + "words": [ + { + "text": "under", + "bbox_points": [ + 436.82, + 377.4, + 457.87, + 385.42 + ] + }, + { + "text": "14", + "bbox_points": [ + 460.23, + 377.4, + 469.06, + 385.42 + ] + }, + { + "text": "years", + "bbox_points": [ + 471.46, + 377.4, + 489.96, + 385.42 + ] + }, + { + "text": "old", + "bbox_points": [ + 492.32, + 377.4, + 503.8, + 385.42 + ] + }, + { + "text": "¼", + "bbox_points": [ + 505.36, + 377.12, + 511.52, + 385.12 + ] + }, + { + "text": "0,", + "bbox_points": [ + 513.07, + 377.4, + 519.49, + 385.42 + ] + }, + { + "text": "with", + "bbox_points": [ + 521.86, + 377.4, + 537.83, + 385.42 + ] + }, + { + "text": "¼", + "bbox_points": [ + 539.38, + 377.12, + 545.54, + 385.12 + ] + }, + { + "text": "1)", + "bbox_points": [ + 547.14, + 377.4, + 554.3, + 385.42 + ] + } + ] + }, + { + "text": "Having elderlies Household with elderlies. Dummy variable (Without elderly", + "bbox_points": [ + 72.0, + 391.35, + 550.39, + 399.37 + ], + "words": [ + { + "text": "Having", + "bbox_points": [ + 72.0, + 391.35, + 98.17, + 399.37 + ] + }, + { + "text": "elderlies", + "bbox_points": [ + 100.52, + 391.35, + 130.57, + 399.37 + ] + }, + { + "text": "Household", + "bbox_points": [ + 178.3, + 391.35, + 218.0, + 399.37 + ] + }, + { + "text": "with", + "bbox_points": [ + 220.31, + 391.35, + 236.29, + 399.37 + ] + }, + { + "text": "elderlies.", + "bbox_points": [ + 238.68, + 391.35, + 270.73, + 399.37 + ] + }, + { + "text": "Dummy", + "bbox_points": [ + 428.83, + 391.35, + 457.98, + 399.37 + ] + }, + { + "text": "variable", + "bbox_points": [ + 460.29, + 391.35, + 489.0, + 399.37 + ] + }, + { + "text": "(Without", + "bbox_points": [ + 491.36, + 391.35, + 523.62, + 399.37 + ] + }, + { + "text": "elderly", + "bbox_points": [ + 526.0, + 391.35, + 550.39, + 399.37 + ] + } + ] + }, + { + "text": "above 65 years old ¼ 0, with ¼ 1)", + 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"bbox_points": [ + 43.43, + 414.26, + 80.65, + 420.26 + ] + }, + { + "text": "variables", + "bbox_points": [ + 82.6, + 414.26, + 110.77, + 420.26 + ] + }, + { + "text": "Coefficient", + "bbox_points": [ + 145.81, + 414.22, + 179.97, + 420.26 + ] + }, + { + "text": "B", + "bbox_points": [ + 181.98, + 414.26, + 186.05, + 420.26 + ] + }, + { + "text": "Error", + "bbox_points": [ + 216.28, + 414.26, + 231.77, + 420.26 + ] + }, + { + "text": "p-value", + "bbox_points": [ + 257.78, + 414.22, + 280.11, + 420.26 + ] + }, + { + "text": "Coefficient", + "bbox_points": [ + 286.13, + 414.22, + 320.28, + 420.26 + ] + }, + { + "text": "β", + "bbox_points": [ + 322.3, + 414.22, + 325.55, + 420.22 + ] + }, + { + "text": "Coefficient", + "bbox_points": [ + 348.55, + 414.22, + 382.7, + 420.26 + ] + }, + { + "text": "B", + "bbox_points": [ + 384.72, + 414.26, + 388.78, + 420.26 + ] + }, + { + "text": "Error", + "bbox_points": [ + 419.02, + 414.26, + 434.5, + 420.26 + ] + }, + { + "text": "p-value", + "bbox_points": [ + 460.52, + 414.22, + 482.84, + 420.26 + ] + }, + { + "text": "Coefficient", + "bbox_points": [ + 488.86, + 414.22, + 523.02, + 420.26 + ] + }, + { + "text": "β", + "bbox_points": [ + 525.03, + 413.42, + 528.82, + 420.42 + ] + } + ] + }, + { + "text": "Flood characteristics", + "bbox_points": [ + 43.43, + 429.35, + 116.72, + 437.35 + ], + "words": [ + { + "text": "Flood", + "bbox_points": [ + 43.43, + 429.35, + 63.91, + 437.35 + ] + }, + { + "text": "characteristics", + "bbox_points": [ + 66.27, + 429.35, + 116.72, + 437.35 + ] + } + ] + }, + { + "text": "Log (Flood depth) (m) 1.491 0.354 0.000 0.288 n.s.", + "bbox_points": [ + 51.42, + 443.4, + 360.62, + 451.41 + ], + "words": [ + { + "text": "Log", + "bbox_points": [ + 51.42, + 443.4, + 65.32, + 451.41 + ] + }, + { + "text": "(Flood", + "bbox_points": [ + 67.69, + 443.4, + 91.24, + 451.41 + ] + }, + { + "text": "depth)", + "bbox_points": [ + 93.6, + 443.4, + 116.82, + 451.41 + ] + }, + { + "text": "(m)", + "bbox_points": [ + 119.17, + 443.4, + 131.66, + 451.41 + ] + }, + { + "text": "1.491", + "bbox_points": [ + 145.81, + 443.4, + 165.48, + 451.41 + ] + }, + { + "text": "0.354", + "bbox_points": [ + 216.28, + 443.4, + 235.95, + 451.41 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 257.78, + 443.4, + 277.45, + 451.41 + ] + }, + { + "text": "0.288", + "bbox_points": [ + 286.13, + 443.4, + 305.79, + 451.41 + ] + }, + { + "text": "n.s.", + "bbox_points": [ + 348.55, + 443.4, + 360.62, + 451.41 + ] + } + ] + }, + { + "text": "Building characteristic", + "bbox_points": [ + 43.43, + 457.3, + 124.13, + 465.3 + ], + "words": [ + { + "text": "Building", + "bbox_points": [ + 43.43, + 457.3, + 74.72, + 465.3 + ] + }, + { + "text": "characteristic", + "bbox_points": [ + 77.1, + 457.3, + 124.13, + 465.3 + ] + } + ] + }, + { + "text": "Building type (low- 0.156 0.74 0.037 0.151 n.s.", + "bbox_points": [ + 51.42, + 471.4, + 360.62, + 479.42 + ], + "words": [ + { + "text": "Building", + "bbox_points": [ + 51.42, + 471.4, + 81.88, + 479.42 + ] + }, + { + "text": "type", + "bbox_points": [ + 84.25, + 471.4, + 99.4, + 479.42 + ] + }, + { + "text": "(low-", + "bbox_points": [ + 101.76, + 471.4, + 119.64, + 479.42 + ] + }, + { + "text": "0.156", + "bbox_points": [ + 145.81, + 471.4, + 165.48, + 479.42 + ] + }, + { + "text": "0.74", + "bbox_points": [ + 216.28, + 471.4, + 231.53, + 479.42 + ] + }, + { + "text": "0.037", + "bbox_points": [ + 257.78, + 471.4, + 277.45, + 479.42 + ] + }, + { + "text": "0.151", + "bbox_points": [ + 286.13, + 471.4, + 305.79, + 479.42 + ] + }, + { + "text": "n.s.", + "bbox_points": [ + 348.55, + 471.4, + 360.62, + 479.42 + ] + } + ] + }, + { + "text": "cost ¼ 0 Terrace or", + "bbox_points": [ + 51.48, + 481.67, + 118.8, + 489.96 + ], + "words": [ + { + "text": "cost", + "bbox_points": [ + 51.48, + 481.95, + 65.73, + 489.96 + ] + }, + { + "text": "¼", + "bbox_points": [ + 67.29, + 481.67, + 73.45, + 489.67 + ] + }, + { + "text": "0", + "bbox_points": [ + 75.06, + 481.95, + 79.48, + 489.96 + ] + }, + { + "text": "Terrace", + "bbox_points": [ + 81.86, + 481.95, + 108.69, + 489.96 + ] + }, + { + "text": "or", + "bbox_points": [ + 111.06, + 481.95, + 118.8, + 489.96 + ] + } + ] + }, + { + "text": "Bungalow ¼ 1)", + "bbox_points": [ + 51.48, + 492.16, + 103.99, + 500.45 + ], + "words": [ + { + "text": "Bungalow", + "bbox_points": [ + 51.48, + 492.44, + 87.51, + 500.45 + ] + }, + { + "text": "¼", + "bbox_points": [ + 89.06, + 492.16, + 95.22, + 500.16 + ] + }, + { + "text": "1)", + "bbox_points": [ + 96.83, + 492.44, + 103.99, + 500.45 + ] + } + ] + }, + { + "text": "Log (Distance from 0.231 0.056 0.000 0.300 0.469 0.045 0.000 0.609", + "bbox_points": [ + 51.42, + 506.44, + 508.53, + 514.46 + ], + "words": [ + { + "text": "Log", + "bbox_points": [ + 51.42, + 506.44, + 65.32, + 514.46 + ] + }, + { + "text": "(Distance", + "bbox_points": [ + 67.69, + 506.44, + 101.97, + 514.46 + ] + }, + { + "text": "from", + "bbox_points": [ + 104.32, + 506.44, + 121.39, + 514.46 + ] + }, + { + "text": "0.231", + "bbox_points": [ + 145.81, + 506.44, + 165.48, + 514.46 + ] + }, + { + "text": "0.056", + "bbox_points": [ + 216.28, + 506.44, + 235.95, + 514.46 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 257.78, + 506.44, + 277.45, + 514.46 + ] + }, + { + "text": "0.300", + "bbox_points": [ + 286.13, + 506.44, + 305.79, + 514.46 + ] + }, + { + "text": "0.469", + "bbox_points": [ + 348.55, + 506.44, + 368.21, + 514.46 + ] + }, + { + "text": "0.045", + "bbox_points": [ + 419.02, + 506.44, + 438.68, + 514.46 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 460.52, + 506.44, + 480.18, + 514.46 + ] + }, + { + "text": "0.609", + "bbox_points": [ + 488.86, + 506.44, + 508.53, + 514.46 + ] + } + ] + }, + { + "text": "river) (m)", + "bbox_points": [ + 51.48, + 516.93, + 85.68, + 524.94 + ], + "words": [ + { + "text": "river)", + "bbox_points": [ + 51.48, + 516.93, + 70.85, + 524.94 + ] + }, + { + "text": "(m)", + "bbox_points": [ + 73.19, + 516.93, + 85.68, + 524.94 + ] + } + ] + }, + { + "text": "Socioeconomic characteristics", + "bbox_points": [ + 43.43, + 530.83, + 149.94, + 538.83 + ], + "words": [ + { + "text": "Socioeconomic", + "bbox_points": [ + 43.43, + 530.83, + 97.12, + 538.83 + ] + }, + { + "text": "characteristics", + "bbox_points": [ + 99.5, + 530.83, + 149.94, + 538.83 + ] + } + ] + }, + { + "text": "Log (Income) (MYR) 0.420 0.120 0.001 0.243 0.607 0.096 0.000 0.351", + "bbox_points": [ + 51.42, + 544.93, + 508.53, + 552.95 + ], + "words": [ + { + "text": "Log", + "bbox_points": [ + 51.42, + 544.93, + 65.32, + 552.95 + ] + }, + { + "text": "(Income)", + "bbox_points": [ + 67.69, + 544.93, + 100.66, + 552.95 + ] + }, + { + "text": "(MYR)", + "bbox_points": [ + 103.01, + 544.93, + 127.56, + 552.95 + ] + }, + { + "text": "0.420", + "bbox_points": [ + 145.82, + 544.93, + 165.48, + 552.95 + ] + }, + { + "text": "0.120", + "bbox_points": [ + 216.28, + 544.93, + 235.95, + 552.95 + ] + }, + { + "text": "0.001", + "bbox_points": [ + 257.78, + 544.93, + 277.45, + 552.95 + ] + }, + { + "text": "0.243", + "bbox_points": [ + 286.13, + 544.93, + 305.79, + 552.95 + ] + }, + { + "text": "0.607", + "bbox_points": [ + 348.55, + 544.93, + 368.21, + 552.95 + ] + }, + { + "text": "0.096", + "bbox_points": [ + 419.02, + 544.93, + 438.68, + 552.95 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 460.52, + 544.93, + 480.18, + 552.95 + ] + }, + { + "text": "0.351", + "bbox_points": [ + 488.86, + 544.93, + 508.53, + 552.95 + ] + } + ] + }, + { + "text": "Log (Living duration) 0.271 0.095 0.005 0.213 n.s.", + "bbox_points": [ + 51.42, + 558.94, + 431.09, + 566.95 + ], + "words": [ + { + "text": "Log", + "bbox_points": [ + 51.42, + 558.94, + 65.32, + 566.95 + ] + }, + { + "text": "(Living", + "bbox_points": [ + 67.69, + 558.94, + 93.32, + 566.95 + ] + }, + { + "text": "duration)", + "bbox_points": [ + 95.7, + 558.94, + 128.77, + 566.95 + ] + }, + { + "text": "0.271", + "bbox_points": [ + 145.81, + 558.94, + 165.48, + 566.95 + ] + }, + { + "text": "0.095", + "bbox_points": [ + 216.28, + 558.94, + 235.95, + 566.95 + ] + }, + { + "text": "0.005", + "bbox_points": [ + 257.78, + 558.94, + 277.45, + 566.95 + ] + }, + { + "text": "0.213", + "bbox_points": [ + 286.13, + 558.94, + 305.79, + 566.95 + ] + }, + { + "text": "n.s.", + "bbox_points": [ + 419.02, + 558.94, + 431.09, + 566.95 + ] + } + ] + }, + { + "text": "(year)", + "bbox_points": [ + 51.48, + 569.42, + 72.4, + 577.44 + ], + "words": [ + { + "text": "(year)", + "bbox_points": [ + 51.48, + 569.42, + 72.4, + 577.44 + ] + } + ] + }, + { + "text": "Log (Family size) n.s. 0.376 0.147 0.012 0.153", + "bbox_points": [ + 51.42, + 583.43, + 508.53, + 591.44 + ], + "words": [ + { + "text": "Log", + "bbox_points": [ + 51.42, + 583.43, + 65.32, + 591.44 + ] + }, + { + "text": "(Family", + "bbox_points": [ + 67.69, + 583.43, + 94.82, + 591.44 + ] + }, + { + "text": "size)", + "bbox_points": [ + 97.0, + 583.43, + 113.4, + 591.44 + ] + }, + { + "text": "n.s.", + "bbox_points": [ + 145.81, + 583.43, + 157.89, + 591.44 + ] + }, + { + "text": "0.376", + "bbox_points": [ + 348.55, + 583.43, + 368.21, + 591.44 + ] + }, + { + "text": "0.147", + "bbox_points": [ + 419.02, + 583.43, + 438.68, + 591.44 + ] + }, + { + "text": "0.012", + "bbox_points": [ + 460.52, + 583.43, + 480.18, + 591.44 + ] + }, + { + "text": "0.153", + "bbox_points": [ + 488.86, + 583.43, + 508.53, + 591.44 + ] + } + ] + }, + { + "text": "Commercial building", + "bbox_points": [ + 43.43, + 597.26, + 107.54, + 603.26 + ], + "words": [ + { + "text": "Commercial", + "bbox_points": [ + 43.43, + 597.26, + 80.27, + 603.26 + ] + }, + { + "text": "building", + "bbox_points": [ + 82.32, + 597.26, + 107.54, + 603.26 + ] + } + ] + }, + { + "text": "Direct damage (R2 ¼ 0.302) Indirect Damage (R2 ¼ 0.692)", + "bbox_points": [ + 145.81, + 614.53, + 435.68, + 621.8 + ], + "words": [ + { + "text": "Direct", + "bbox_points": [ + 145.81, + 615.8, + 164.61, + 621.8 + ] + }, + { + "text": "damage", + "bbox_points": [ + 166.51, + 615.8, + 191.12, + 621.8 + ] + }, + { + "text": "(R2", + "bbox_points": [ + 193.15, + 614.53, + 202.18, + 621.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 203.36, + 615.76, + 207.98, + 621.76 + ] + }, + { + "text": "0.302)", + "bbox_points": [ + 209.2, + 615.8, + 226.99, + 621.8 + ] + }, + { + "text": "Indirect", + "bbox_points": [ + 348.55, + 615.8, + 372.84, + 621.8 + ] + }, + { + "text": "Damage", + "bbox_points": [ + 374.74, + 615.8, + 399.86, + 621.8 + ] + }, + { + "text": "(R2", + "bbox_points": [ + 401.84, + 614.53, + 410.93, + 621.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 412.1, + 615.76, + 416.72, + 621.76 + ] + }, + { + "text": "0.692)", + "bbox_points": [ + 417.88, + 615.8, + 435.68, + 621.8 + ] + } + ] + }, + { + "text": "Explanatory variables Unstandardized Standard p-value Standardized Unstandardized Standard p-value Standardized", + "bbox_points": [ + 43.43, + 634.24, + 530.14, + 640.28 + ], + "words": [ + { + "text": "Explanatory", + "bbox_points": [ + 43.43, + 634.28, + 80.65, + 640.28 + ] + }, + { + "text": "variables", + "bbox_points": [ + 82.6, + 634.28, + 110.77, + 640.28 + ] + }, + { + "text": "Unstandardized", + "bbox_points": [ + 145.81, + 634.28, + 194.86, + 640.28 + ] + }, + { + "text": "Standard", + "bbox_points": [ + 216.28, + 634.28, + 244.63, + 640.28 + ] + }, + { + "text": "p-value", + "bbox_points": [ + 257.78, + 634.24, + 280.12, + 640.28 + ] + }, + { + "text": "Standardized", + "bbox_points": [ + 286.13, + 634.28, + 327.41, + 640.28 + ] + }, + { + "text": "Unstandardized", + "bbox_points": [ + 348.55, + 634.28, + 397.6, + 640.28 + ] + }, + { + "text": "Standard", + "bbox_points": [ + 419.02, + 634.28, + 447.37, + 640.28 + ] + }, + { + "text": "p-value", + "bbox_points": [ + 460.52, + 634.24, + 482.86, + 640.28 + ] + }, + { + "text": "Standardized", + "bbox_points": [ + 488.86, + 634.28, + 530.14, + 640.28 + ] + } + ] + }, + { + "text": "coefficient B error coefficient β coefficient B error coefficient β", + "bbox_points": [ + 145.81, + 643.26, + 527.6, + 649.29 + ], + "words": [ + { + "text": "coefficient", + "bbox_points": [ + 145.81, + 643.26, + 179.29, + 649.29 + ] + }, + { + "text": "B", + "bbox_points": [ + 181.25, + 643.26, + 185.31, + 649.26 + ] + }, + { + "text": "error", + "bbox_points": [ + 216.28, + 643.29, + 231.77, + 649.29 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 286.13, + 643.26, + 319.6, + 649.29 + ] + }, + { + "text": "β", + "bbox_points": [ + 321.62, + 643.26, + 324.86, + 649.26 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 348.55, + 643.26, + 382.02, + 649.29 + ] + }, + { + "text": "B", + "bbox_points": [ + 383.98, + 643.26, + 388.04, + 649.26 + ] + }, + { + "text": "error", + "bbox_points": [ + 419.02, + 643.29, + 434.5, + 649.29 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 488.86, + 643.26, + 522.34, + 649.29 + ] + }, + { + "text": "β", + "bbox_points": [ + 524.35, + 643.26, + 527.6, + 649.26 + ] + } + ] + }, + { + "text": "Socioeconomic characteristics", + "bbox_points": [ + 43.43, + 661.85, + 149.94, + 669.85 + ], + "words": [ + { + "text": "Socioeconomic", + "bbox_points": [ + 43.43, + 661.85, + 97.12, + 669.85 + ] + }, + { + "text": "characteristics", + "bbox_points": [ + 99.5, + 661.85, + 149.94, + 669.85 + ] + } + ] + }, + { + "text": "Log (Income) (MYR) 0.593 0.173 0.001 0.476 0.968 0.115 0.000 0.780", + "bbox_points": [ + 51.42, + 675.95, + 508.53, + 683.97 + ], + "words": [ + { + "text": "Log", + "bbox_points": [ + 51.42, + 675.95, + 65.32, + 683.97 + ] + }, + { + "text": "(Income)", + "bbox_points": [ + 67.69, + 675.95, + 100.66, + 683.97 + ] + }, + { + "text": "(MYR)", + "bbox_points": [ + 103.01, + 675.95, + 127.56, + 683.97 + ] + }, + { + "text": "0.593", + "bbox_points": [ + 145.81, + 675.95, + 165.48, + 683.97 + ] + }, + { + "text": "0.173", + "bbox_points": [ + 216.28, + 675.95, + 235.95, + 683.97 + ] + 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(a) PMMoV, (b) NoV GII only in influent, (c) air and MLSS temperature measured on sampling date, and (d) MLSS concentration in the mixing tank and COD removal efficiency. diff --git a/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_02.jpg b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ae93b865ae851fc4f21053c9a59bae106feba4e9 --- /dev/null +++ b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ef71ef1d15bbb6ef7efa3b7658850a6971605ccf2e769425382c56c8368c5f5 +size 68711 diff --git a/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_02.txt b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..1acd786a0822fea1f3dd2cbab8258936c217ded8 --- /dev/null +++ b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_02.txt @@ -0,0 +1 @@ +Spearman’s rank correlation coefficients for all candidate operational variables. The two operational variables (influent and MLSS pH) that have strong and significant correlation with PMMoV LRV (∣ρ∣ 0.7 and p-value  0.05) are shown in red. Dashed lines mark the threshold of strong correlation (∣ρ∣ 0.7). diff --git a/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_03.jpg b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2c02768c7cc6f3aa8339e8ebd9d140987cefe20c --- /dev/null +++ b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:440b39db649e3b3c2d35f5163daa364c8de7912d338001e4124f6a06166ed318 +size 70313 diff --git a/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_03.txt b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..f389a3fc976aecaa4563bfceadbdb0b9246a5d02 --- /dev/null +++ b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/figure_03.txt @@ -0,0 +1 @@ +The performance of PMMoV LRV predictions under different settings and models (ANN, artificial neural network model; RF, random forest model; LM, linear regression model). The point and error bar stands for the median value and 95% confident interval (CI) calculated from 500 iterations, respectively. The dashed line stands for 1:1 fit. (a) Only influent and MLSS pH were used as inputs; (b) nine variables that have the Spearman’s rank correlation coefficient ∣ρ∣ 0.3 were used; (c) nine empirically selected variables were used; and (d) all operational variables were used. Note that predictions made by the LM model were only shown in (a) due to its poor performance under other settings. diff --git a/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/graphic_abstract.jpg b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..958435e8bdef36eeabe04d4ef916c5378287612c --- /dev/null +++ b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eae2afa8c07c5f450a65cd0938390b63c41926045c03d66a36234c929d0e42ad +size 96451 diff --git a/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/manifest.json b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..65976cb893953b0d9cbc49ee9f65c529d23fbf2a --- /dev/null +++ b/Figures/Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob/manifest.json @@ -0,0 +1,122 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Kadoya et al. - 2024 - A soft-sensor approach for predicting an indicator virus removal efficiency of a pilot-scale anaerob.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 4, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 37.43, + 84.99, + 530.8, + 288.95 + ], + "caption_bbox_points": [ + 43.43, + 79.48, + 131.21, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 96451, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 6, + "caption": "Virus quantification results and some operational variables of AnMBR. 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] + }, + { + "text": "CuO/carbon analysis COD ¼ 71.82; 823.03 L/ preparing high- smaller than (2020)", + "bbox_points": [ + 51.48, + 444.87, + 537.13, + 453.17 + ], + "words": [ + { + "text": "CuO/carbon", + "bbox_points": [ + 51.48, + 445.16, + 97.08, + 453.17 + ] + }, + { + "text": "analysis", + "bbox_points": [ + 131.98, + 445.15, + 160.13, + 453.17 + ] + }, + { + "text": "COD", + "bbox_points": [ + 198.65, + 445.15, + 217.53, + 453.17 + ] + }, + { + "text": "¼", + "bbox_points": [ + 219.06, + 444.87, + 225.22, + 452.87 + ] + }, + { + "text": "71.82;", + "bbox_points": [ + 226.83, + 445.15, + 248.82, + 453.17 + ] + }, + { + "text": "823.03", + "bbox_points": [ + 280.52, + 445.15, + 304.6, + 453.17 + ] + }, + { + "text": "L/", + "bbox_points": [ + 306.93, + 445.15, + 315.84, + 453.17 + ] + }, + { + "text": "preparing", + "bbox_points": [ + 357.22, + 445.15, + 391.79, + 453.17 + ] + }, + { + "text": "high-", + "bbox_points": [ + 394.13, + 445.15, + 412.02, + 453.17 + ] + }, + { + "text": "smaller", + "bbox_points": [ + 447.08, + 445.15, + 473.38, + 453.17 + ] + }, + { + "text": "than", + "bbox_points": [ + 475.77, + 445.15, + 491.99, + 453.17 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 513.98, + 445.15, + 537.13, + 453.17 + ] + } + ] + }, + { + "text": "membrane TOC ¼ 64.29 (m2·h·bar) performance membrane", + "bbox_points": [ + 51.48, + 454.17, + 485.32, + 463.72 + ], + "words": [ + { + "text": "membrane", + "bbox_points": [ + 51.48, + 455.7, + 89.67, + 463.72 + ] + }, + { + "text": "TOC", + "bbox_points": [ + 198.65, + 455.7, + 215.96, + 463.71 + ] + }, + { + "text": "¼", + "bbox_points": [ + 217.53, + 455.42, + 223.69, + 463.42 + ] + }, + { + "text": "64.29", + "bbox_points": [ + 225.24, + 455.7, + 244.9, + 463.71 + ] + }, + { + "text": "(m2·h·bar)", + "bbox_points": [ + 280.52, + 454.17, + 316.78, + 463.72 + ] + }, + { + "text": "performance", + "bbox_points": [ + 357.22, + 455.7, + 403.0, + 463.72 + ] + }, + { + "text": "membrane", + "bbox_points": [ + 447.08, + 455.7, + 485.32, + 463.71 + ] + } + ] + }, + { + "text": "(DECuO/C) electrocatalytic pores are", + "bbox_points": [ + 51.48, + 466.19, + 480.05, + 474.2 + ], + "words": [ + { + "text": "(DECuO/C)", + "bbox_points": [ + 51.48, + 466.19, + 95.33, + 474.2 + ] + }, + { + "text": "electrocatalytic", + "bbox_points": [ + 357.22, + 466.19, + 411.62, + 474.2 + ] + }, + { + "text": "pores", + "bbox_points": [ + 447.08, + 466.19, + 466.54, + 474.2 + ] + }, + { + "text": "are", + "bbox_points": [ + 468.91, + 466.19, + 480.05, + 474.2 + ] + } + ] + }, + { + "text": "membrane difficult to", + "bbox_points": [ + 357.22, + 476.39, + 484.22, + 484.69 + ], + "words": [ + { + "text": "membrane", + "bbox_points": [ + 357.22, + 476.68, + 395.47, + 484.69 + ] + }, + { + "text": "difficult", + "bbox_points": [ + 447.08, + 476.39, + 474.68, + 484.69 + ] + }, + { + "text": "to", + "bbox_points": [ + 477.07, + 476.67, + 484.22, + 484.69 + ] + } + ] + }, + { + "text": "remove", + "bbox_points": [ + 447.08, + 487.16, + 473.42, + 495.18 + ], + "words": [ + { + "text": "remove", + "bbox_points": [ + 447.08, + 487.16, + 473.42, + 495.18 + ] + } + ] + }, + { + "text": "Integrated Industries such COD (pulp and Porosity ¼ 44%, Cost-effective Goswami", + "bbox_points": [ + 43.43, + 500.88, + 540.22, + 509.18 + ], + "words": [ + { + "text": "Integrated", + "bbox_points": [ + 43.43, + 501.16, + 80.03, + 509.18 + ] + }, + { + "text": "Industries", + "bbox_points": [ + 123.93, + 501.16, + 159.56, + 509.18 + ] + }, + { + "text": "such", + "bbox_points": [ + 161.91, + 501.16, + 178.56, + 509.18 + ] + }, + { + "text": "COD", + "bbox_points": [ + 190.66, + 501.16, + 209.53, + 509.18 + ] + }, + { + "text": "(pulp", + "bbox_points": [ + 211.92, + 501.16, + 231.37, + 509.18 + ] + }, + { + "text": "and", + "bbox_points": [ + 233.74, + 501.16, + 247.22, + 509.18 + ] + }, + { + "text": "Porosity", + "bbox_points": [ + 272.52, + 501.16, + 301.69, + 509.18 + ] + }, + { + "text": "¼", + "bbox_points": [ + 303.25, + 500.88, + 309.41, + 508.88 + ] + }, + { + "text": "44%,", + "bbox_points": [ + 310.96, + 501.16, + 328.79, + 509.18 + ] + }, + { + "text": "Cost-effective", + "bbox_points": [ + 349.23, + 501.16, + 397.0, + 509.18 + ] + }, + { + "text": "Goswami", + "bbox_points": [ + 505.98, + 501.16, + 540.22, + 509.18 + ] + } + ] + }, + { + "text": "biological- as pulp and paper) ¼ 92.7; pore diameter ¼ approach et al.", + "bbox_points": [ + 51.48, + 511.37, + 531.62, + 519.67 + ], + "words": [ + { + "text": "biological-", + "bbox_points": [ + 51.48, + 511.65, + 88.5, + 519.67 + ] + }, + { + "text": "as", + "bbox_points": [ + 131.98, + 511.65, + 139.47, + 519.67 + ] + }, + { + "text": "pulp", + "bbox_points": [ + 141.84, + 511.65, + 157.9, + 519.67 + ] + }, + { + "text": "and", + "bbox_points": [ + 160.27, + 511.65, + 173.75, + 519.67 + ] + }, + { + "text": "paper)", + "bbox_points": [ + 198.65, + 511.65, + 221.87, + 519.67 + ] + }, + { + "text": "¼", + "bbox_points": [ + 223.43, + 511.37, + 229.59, + 519.37 + ] + }, + { + "text": "92.7;", + "bbox_points": [ + 231.14, + 511.65, + 248.71, + 519.67 + ] + }, + { + "text": "pore", + "bbox_points": [ + 280.52, + 511.65, + 296.65, + 519.66 + ] + }, + { + "text": "diameter", + "bbox_points": [ + 299.0, + 511.65, + 330.8, + 519.66 + ] + }, + { + "text": "¼", + "bbox_points": [ + 332.33, + 511.37, + 338.49, + 519.37 + ] + }, + { + "text": "approach", + "bbox_points": [ + 357.22, + 511.65, + 390.8, + 519.66 + ] + }, + { + "text": "et", + "bbox_points": [ + 513.98, + 511.55, + 520.3, + 519.55 + ] + }, + { + "text": "al.", + "bbox_points": [ + 522.71, + 511.55, + 531.62, + 519.66 + ] + } + ] + }, + { + "text": "ceramic paper, COD (biomass 1 μm (2019)", + "bbox_points": [ + 51.48, + 521.91, + 537.13, + 530.21 + ], + "words": [ + { + "text": "ceramic", + "bbox_points": [ + 51.48, + 522.2, + 79.91, + 530.21 + ] + }, + { + "text": "paper,", + "bbox_points": [ + 131.98, + 522.2, + 154.45, + 530.21 + ] + }, + { + "text": "COD", + "bbox_points": [ + 198.65, + 522.19, + 217.53, + 530.21 + ] + }, + { + "text": "(biomass", + "bbox_points": [ + 219.91, + 522.19, + 251.7, + 530.21 + ] + }, + { + "text": "1", + "bbox_points": [ + 280.52, + 522.19, + 284.93, + 530.21 + ] + }, + { + "text": "μm", + "bbox_points": [ + 287.32, + 521.91, + 298.4, + 530.21 + ] + }, + { + "text": "(2019)", + "bbox_points": [ + 513.98, + 522.19, + 537.13, + 530.21 + ] + } + ] + }, + { + "text": "membrane biomass gasification) ¼", + "bbox_points": [ + 51.48, + 532.4, + 249.83, + 540.7 + ], + "words": [ + { + "text": "membrane", + "bbox_points": [ + 51.48, + 532.68, + 89.67, + 540.7 + ] + }, + { + "text": "biomass", + "bbox_points": [ + 131.98, + 532.68, + 161.12, + 540.7 + ] + }, + { + "text": "gasification)", + "bbox_points": [ + 198.65, + 532.4, + 242.09, + 540.7 + ] + }, + { + "text": "¼", + "bbox_points": [ + 243.67, + 532.4, + 249.83, + 540.4 + ] + } + ] + }, + { + "text": "gasification, 87.6; COD", + "bbox_points": [ + 131.98, + 542.89, + 237.48, + 551.19 + ], + "words": [ + { + "text": "gasification,", + "bbox_points": [ + 131.98, + 542.89, + 174.68, + 551.19 + ] + }, + { + "text": "87.6;", + "bbox_points": [ + 198.65, + 543.17, + 216.23, + 551.19 + ] + }, + { + "text": "COD", + "bbox_points": [ + 218.55, + 543.17, + 237.48, + 551.19 + ] + } + ] + }, + { + "text": "and dairy (dairy) ¼ 88.2", + "bbox_points": [ + 131.98, + 553.38, + 246.89, + 561.68 + ], + "words": [ + { + "text": "and", + "bbox_points": [ + 131.98, + 553.66, + 145.46, + 561.68 + ] + }, + { + "text": "dairy", + "bbox_points": [ + 147.8, + 553.66, + 166.02, + 561.68 + ] + }, + { + "text": "(dairy)", + "bbox_points": [ + 198.65, + 553.66, + 222.36, + 561.67 + ] + }, + { + "text": "¼", + "bbox_points": [ + 223.88, + 553.38, + 230.04, + 561.38 + ] + }, + { + "text": "88.2", + "bbox_points": [ + 231.65, + 553.66, + 246.89, + 561.67 + ] + } + ] + }, + { + "text": "PVDF Greywater COD ¼ 98.22; Pore size ¼ 0.1 The combination of An increase in Babaei", + "bbox_points": [ + 43.43, + 567.38, + 530.62, + 575.68 + ], + "words": [ + { + "text": "PVDF", + "bbox_points": [ + 43.43, + 567.66, + 65.75, + 575.68 + ] + }, + { + "text": "Greywater", + "bbox_points": [ + 123.93, + 567.66, + 161.33, + 575.68 + ] + }, + { + "text": "COD", + "bbox_points": [ + 190.66, + 567.66, + 209.53, + 575.68 + ] + }, + { + "text": "¼", + "bbox_points": [ + 211.07, + 567.38, + 217.23, + 575.38 + ] + }, + { + "text": "98.22;", + "bbox_points": [ + 218.83, + 567.66, + 240.83, + 575.68 + ] + }, + { + "text": "Pore", + "bbox_points": [ + 272.52, + 567.66, + 288.88, + 575.67 + ] + }, + { + "text": "size", + "bbox_points": [ + 291.29, + 567.66, + 304.94, + 575.67 + ] + }, + { + "text": "¼", + "bbox_points": [ + 306.48, + 567.38, + 312.64, + 575.38 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 314.19, + 567.66, + 325.02, + 575.67 + ] + }, + { + "text": "The", + "bbox_points": [ + 349.23, + 567.67, + 362.97, + 575.68 + ] + }, + { + "text": "combination", + "bbox_points": [ + 365.33, + 567.67, + 410.56, + 575.68 + ] + }, + { + "text": "of", + "bbox_points": [ + 412.95, + 567.67, + 420.02, + 575.68 + ] + }, + { + "text": "An", + "bbox_points": [ + 439.09, + 567.67, + 449.83, + 575.68 + ] + }, + { + "text": "increase", + "bbox_points": [ + 452.18, + 567.67, + 481.73, + 575.68 + ] + }, + { + "text": "in", + "bbox_points": [ + 484.1, + 567.67, + 491.17, + 575.68 + ] + }, + { + "text": "Babaei", + "bbox_points": [ + 505.98, + 567.67, + 530.62, + 575.68 + ] + } + ] + }, + { + "text": "LAS ¼ 99.97; μm; membrane multi-layer slow organic et al.", + "bbox_points": [ + 190.66, + 577.87, + 531.62, + 586.17 + ], + "words": [ + { + "text": "LAS", + "bbox_points": [ + 190.66, + 578.15, + 206.73, + 586.16 + ] + }, + { + "text": "¼", + "bbox_points": [ + 208.23, + 577.87, + 214.39, + 585.87 + ] + }, + { + "text": "99.97;", + "bbox_points": [ + 216.0, + 578.15, + 237.99, + 586.16 + ] + }, + { + "text": "μm;", + "bbox_points": [ + 280.52, + 577.87, + 293.93, + 586.16 + ] + }, + { + "text": "membrane", + "bbox_points": [ + 296.28, + 578.15, + 334.52, + 586.16 + ] + }, + { + "text": "multi-layer", + "bbox_points": [ + 357.22, + 578.16, + 395.39, + 586.17 + ] + }, + { + "text": "slow", + "bbox_points": [ + 397.76, + 578.16, + 414.18, + 586.17 + ] + }, + { + "text": "organic", + "bbox_points": [ + 447.08, + 578.15, + 474.05, + 586.17 + ] + }, + { + "text": "et", + "bbox_points": [ + 513.98, + 578.05, + 520.3, + 586.05 + ] + }, + { + "text": "al.", + "bbox_points": [ + 522.71, + 578.05, + 531.62, + 586.17 + ] + } + ] + }, + { + "text": "TSS ¼ 99.99; area ¼ 0.2 m2; sand filter, MF, and loading rates (2019)", + "bbox_points": [ + 190.66, + 587.17, + 537.13, + 596.72 + ], + "words": [ + { + "text": "TSS", + "bbox_points": [ + 190.66, + 588.69, + 205.15, + 596.71 + ] + }, + { + "text": "¼", + "bbox_points": [ + 206.7, + 588.41, + 212.86, + 596.41 + ] + }, + { + "text": "99.99;", + "bbox_points": [ + 214.41, + 588.69, + 236.4, + 596.71 + ] + }, + { + "text": "area", + "bbox_points": [ + 280.52, + 588.69, + 295.82, + 596.71 + ] + }, + { + "text": "¼", + "bbox_points": [ + 297.35, + 588.41, + 303.51, + 596.41 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 305.12, + 588.69, + 315.95, + 596.71 + ] + }, + { + "text": "m2;", + "bbox_points": [ + 317.88, + 587.17, + 330.52, + 596.72 + ] + }, + { + "text": "sand", + "bbox_points": [ + 357.22, + 588.7, + 374.03, + 596.72 + ] + }, + { + "text": "filter,", + "bbox_points": [ + 376.44, + 588.42, + 395.21, + 596.72 + ] + }, + { + "text": "MF,", + "bbox_points": [ + 397.59, + 588.7, + 411.72, + 596.72 + ] + }, + { + "text": "and", + "bbox_points": [ + 414.14, + 588.7, + 427.62, + 596.72 + ] + }, + { + "text": "loading", + "bbox_points": [ + 447.08, + 588.7, + 473.79, + 596.72 + ] + }, + { + "text": "rates", + "bbox_points": [ + 476.16, + 588.7, + 493.04, + 596.72 + ] + }, + { + "text": "(2019)", + "bbox_points": [ + 513.98, + 588.7, + 537.13, + 596.71 + ] + } + ] + }, + { + "text": "turbidity ¼ 99.98 membrane ultrafiltration is decreases the", + "bbox_points": [ + 190.66, + 598.9, + 494.97, + 607.21 + ], + "words": [ + { + "text": "turbidity", + "bbox_points": [ + 190.66, + 599.18, + 221.19, + 607.2 + ] + }, + { + "text": "¼", + "bbox_points": [ + 222.69, + 598.9, + 228.85, + 606.9 + ] + }, + { + "text": "99.98", + "bbox_points": [ + 230.46, + 599.18, + 250.12, + 607.2 + ] + }, + { + "text": "membrane", + "bbox_points": [ + 280.52, + 599.19, + 318.76, + 607.21 + ] + }, + { + "text": "ultrafiltration", + "bbox_points": [ + 357.22, + 598.91, + 404.55, + 607.2 + ] + }, + { + "text": "is", + "bbox_points": [ + 406.89, + 599.19, + 412.54, + 607.2 + ] + }, + { + "text": "decreases", + "bbox_points": [ + 447.08, + 599.19, + 481.43, + 607.2 + ] + }, + { + "text": "the", + "bbox_points": [ + 483.65, + 599.19, + 494.97, + 607.2 + ] + } + ] + }, + { + "text": "length ¼ 50 cm more effective for removal", + "bbox_points": [ + 280.52, + 609.4, + 476.1, + 617.69 + ], + "words": [ + { + "text": "length", + "bbox_points": [ + 280.52, + 609.68, + 302.91, + 617.69 + ] + }, + { + "text": "¼", + "bbox_points": [ + 304.44, + 609.4, + 310.6, + 617.4 + ] + }, + { + "text": "50", + "bbox_points": [ + 312.15, + 609.68, + 320.98, + 617.69 + ] + }, + { + "text": "cm", + "bbox_points": [ + 323.38, + 609.68, + 334.38, + 617.69 + ] + }, + { + "text": "more", + "bbox_points": [ + 357.22, + 609.68, + 375.79, + 617.69 + ] + }, + { + "text": "effective", + "bbox_points": [ + 378.14, + 609.68, + 407.99, + 617.69 + ] + }, + { + "text": "for", + "bbox_points": [ + 410.4, + 609.68, + 420.63, + 617.69 + ] + }, + { + "text": "removal", + "bbox_points": [ + 447.08, + 609.68, + 476.1, + 617.69 + ] + } + ] + }, + { + "text": "LAS and suspended efficiency", + "bbox_points": [ + 357.22, + 619.88, + 481.38, + 628.18 + ], + "words": [ + { + "text": "LAS", + "bbox_points": [ + 357.22, + 620.16, + 373.29, + 628.18 + ] + }, + { + "text": "and", + "bbox_points": [ + 375.65, + 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"bbox_points": [ + 288.4, + 353.09, + 312.48, + 361.1 + ] + }, + { + "text": "695.00", + "bbox_points": [ + 327.06, + 353.09, + 351.14, + 361.1 + ] + }, + { + "text": "695.00", + "bbox_points": [ + 364.08, + 353.09, + 388.16, + 361.1 + ] + }, + { + "text": "695.00", + "bbox_points": [ + 400.87, + 353.09, + 424.95, + 361.1 + ] + }, + { + "text": "1,044.00", + "bbox_points": [ + 435.91, + 353.09, + 466.41, + 361.1 + ] + }, + { + "text": "1,044.00", + "bbox_points": [ + 476.84, + 353.09, + 507.34, + 361.1 + ] + } + ] + }, + { + "text": "variables Total water consumed C (MLD) 553.65 681.37 661.90 643.52 1,003.85 949.09", + "bbox_points": [ + 61.23, + 363.47, + 500.92, + 371.59 + ], + "words": [ + { + "text": "variables", + "bbox_points": [ + 61.23, + 363.57, + 93.27, + 371.59 + ] + }, + { + "text": "Total", + "bbox_points": [ + 105.22, + 363.57, + 123.68, + 371.59 + ] + }, + { + "text": "water", + "bbox_points": [ + 126.08, + 363.57, + 145.97, + 371.59 + ] + }, + { + "text": "consumed", + "bbox_points": [ + 148.2, + 363.57, + 184.89, + 371.59 + ] + }, + { + "text": "C", + "bbox_points": [ + 234.48, + 363.47, + 239.98, + 371.47 + ] + }, + { + "text": "(MLD)", + "bbox_points": [ + 242.36, + 363.57, + 267.5, + 371.59 + ] + }, + { + "text": "553.65", + "bbox_points": [ + 288.4, + 363.57, + 312.48, + 371.59 + ] + }, + { + "text": "681.37", + "bbox_points": [ + 327.06, + 363.57, + 351.14, + 371.59 + ] + }, + { + "text": "661.90", + "bbox_points": [ + 364.08, + 363.57, + 388.16, + 371.59 + ] + }, + { + "text": "643.52", + "bbox_points": [ + 400.87, + 363.57, + 424.95, + 371.59 + ] + }, + { + "text": "1,003.85", + "bbox_points": [ + 435.91, + 363.57, + 466.41, + 371.59 + ] + }, + { + "text": "949.09", + "bbox_points": [ + 476.84, + 363.57, + 500.92, + 371.59 + ] + } + ] + }, + { + "text": "Fraction of water consumption FRd 0.00 0.02 0.05 0.08 0.04 0.10", + "bbox_points": [ + 105.22, + 373.96, + 492.09, + 382.81 + ], + "words": [ + { + "text": "Fraction", + "bbox_points": [ + 105.22, + 374.06, + 135.18, + 382.08 + ] + }, + { + "text": "of", + "bbox_points": [ + 137.54, + 374.06, + 144.61, + 382.08 + ] + }, + { + "text": "water", + "bbox_points": [ + 147.0, + 374.06, + 166.89, + 382.08 + ] + }, + { + "text": "consumption", + "bbox_points": [ + 169.11, + 374.06, + 216.05, + 382.08 + ] + }, + { + "text": "FRd", + "bbox_points": [ + 234.48, + 373.96, + 246.69, + 382.81 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 288.4, + 374.06, + 303.64, + 382.08 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 327.06, + 374.06, + 342.31, + 382.08 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 364.08, + 374.06, + 379.33, + 382.08 + ] + }, + { + "text": "0.08", + "bbox_points": [ + 400.88, + 374.06, + 416.12, + 382.08 + ] + }, + { + "text": "0.04", + "bbox_points": [ + 435.91, + 374.06, + 451.16, + 382.08 + ] + }, + { + "text": "0.10", + "bbox_points": [ + 476.84, + 374.06, + 492.09, + 382.08 + ] + } + ] + }, + { + "text": "reduced", + "bbox_points": [ + 113.27, + 384.55, + 141.95, + 392.57 + ], + "words": [ + { + "text": "reduced", + "bbox_points": [ + 113.27, + 384.55, + 141.95, + 392.57 + ] + } + ] + }, + { + "text": "Fraction of water reused FRu 0.00 0.00 0.00 0.06 0.00 0.10", + "bbox_points": [ + 105.22, + 394.94, + 492.09, + 403.78 + ], + "words": [ + { + "text": "Fraction", + "bbox_points": [ + 105.22, + 395.04, + 135.18, + 403.06 + ] + }, + { + "text": "of", + "bbox_points": [ + 137.54, + 395.04, + 144.61, + 403.06 + ] + }, + { + "text": "water", + "bbox_points": [ + 147.01, + 395.04, + 166.89, + 403.06 + ] + }, + { + "text": "reused", + "bbox_points": [ + 169.29, + 395.04, + 192.71, + 403.06 + ] + }, + { + "text": "FRu", + "bbox_points": [ + 234.48, + 394.94, + 246.69, + 403.78 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 288.4, + 395.04, + 303.64, + 403.05 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 327.06, + 395.04, + 342.31, + 403.05 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 364.08, + 395.04, + 379.33, + 403.05 + ] + }, + { + "text": "0.06", + "bbox_points": [ + 400.88, + 395.04, + 416.12, + 403.05 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 435.91, + 395.04, + 451.16, + 403.05 + ] + }, + { + "text": "0.10", + "bbox_points": [ + 476.84, + 395.04, + 492.09, + 403.05 + ] + } + ] + }, + { + "text": "Fraction of water recycled from FRe 0.00 0.05 0.10 0.10 0.07 0.10", + "bbox_points": [ + 105.22, + 405.48, + 492.09, + 414.27 + ], + "words": [ + { + "text": "Fraction", + "bbox_points": [ + 105.22, + 405.58, + 135.18, + 413.6 + ] + }, + { + "text": "of", + "bbox_points": [ + 137.54, + 405.58, + 144.61, + 413.6 + ] + }, + { + "text": "water", + "bbox_points": [ + 147.01, + 405.58, + 166.89, + 413.6 + ] + }, + { + "text": "recycled", + "bbox_points": [ + 169.29, + 405.58, + 199.14, + 413.6 + ] + }, + { + "text": "from", + "bbox_points": [ + 201.49, + 405.58, + 218.56, + 413.6 + ] + }, + { + "text": "FRe", + "bbox_points": [ + 234.48, + 405.48, + 246.1, + 414.27 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 288.4, + 405.58, + 303.64, + 413.6 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 327.06, + 405.58, + 342.31, + 413.6 + ] + }, + { + "text": "0.10", + "bbox_points": [ + 364.08, + 405.58, + 379.33, + 413.6 + ] + }, + { + "text": "0.10", + "bbox_points": [ + 400.88, + 405.58, + 416.12, + 413.6 + ] + }, + { + "text": "0.07", + "bbox_points": [ + 435.91, + 405.58, + 451.16, + 413.6 + ] + }, + { + "text": "0.10", + "bbox_points": [ + 476.84, + 405.58, + 492.09, + 413.6 + ] + } + ] + }, + { + "text": "wastewater treatment facilities", + "bbox_points": [ + 113.27, + 416.07, + 221.87, + 424.09 + ], + "words": [ + { + "text": "wastewater", + "bbox_points": [ + 113.27, + 416.07, + 153.0, + 424.09 + ] + }, + { + "text": "treatment", + "bbox_points": [ + 155.34, + 416.07, + 189.79, + 424.09 + ] + }, + { + "text": "facilities", + "bbox_points": [ + 192.13, + 416.07, + 221.87, + 424.09 + ] + } + ] + }, + { + "text": "Fraction of water reclaimed from FRc 0.03 0.17 0.18 0.18 0.12 0.17", + "bbox_points": [ + 105.22, + 426.46, + 492.09, + 435.3 + ], + "words": [ + { + "text": "Fraction", + "bbox_points": [ + 105.22, + 426.56, + 135.18, + 434.58 + ] + }, + { + "text": "of", + "bbox_points": [ + 137.54, + 426.56, + 144.61, + 434.58 + ] + }, + { + "text": "water", + "bbox_points": [ + 147.01, + 426.56, + 166.89, + 434.58 + ] + }, + { + "text": "reclaimed", + "bbox_points": [ + 169.29, + 426.56, + 204.63, + 434.58 + ] + }, + { + "text": "from", + "bbox_points": [ + 206.99, + 426.56, + 224.06, + 434.58 + ] + }, + { + "text": "FRc", + "bbox_points": [ + 234.48, + 426.46, + 246.1, + 435.3 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 288.4, + 426.56, + 303.64, + 434.58 + ] + }, + { + "text": "0.17", + "bbox_points": [ + 327.06, + 426.56, + 342.31, + 434.58 + ] + }, + { + "text": "0.18", + "bbox_points": [ + 364.08, + 426.56, + 379.33, + 434.58 + ] + }, + { + "text": "0.18", + "bbox_points": [ + 400.88, + 426.56, + 416.12, + 434.58 + ] + }, + { + "text": "0.12", + "bbox_points": [ + 435.91, + 426.56, + 451.16, + 434.58 + ] + }, + { + "text": "0.17", + "bbox_points": [ + 476.84, + 426.56, + 492.09, + 434.58 + ] + } + ] + }, + { + "text": "wastewater treatment facilities", + "bbox_points": [ + 113.27, + 437.05, + 221.87, + 445.06 + ], + "words": [ + { + "text": "wastewater", + "bbox_points": [ + 113.27, + 437.05, + 153.0, + 445.06 + ] + }, + { + "text": "treatment", + "bbox_points": [ + 155.34, + 437.05, + 189.79, + 445.06 + ] + }, + { + "text": "facilities", + "bbox_points": [ + 192.13, + 437.05, + 221.87, + 445.06 + ] + } + ] + }, + { + "text": "Fraction of water restored to the FRst 0.47 0.44 0.49 0.54 0.32 0.53", + "bbox_points": [ + 105.22, + 447.49, + 492.09, + 456.28 + ], + "words": [ + { + "text": "Fraction", + "bbox_points": [ + 105.22, + 447.59, + 135.18, + 455.61 + ] + }, + { + "text": "of", + "bbox_points": [ + 137.54, + 447.59, + 144.61, + 455.61 + ] + }, + { + "text": "water", + "bbox_points": [ + 147.01, + 447.59, + 166.89, + 455.61 + ] + }, + { + "text": "restored", + "bbox_points": [ + 169.29, + 447.59, + 198.1, + 455.61 + ] + }, + { + "text": "to", + "bbox_points": [ + 200.52, + 447.59, + 207.68, + 455.61 + ] + }, + { + "text": "the", + "bbox_points": [ + 210.05, + 447.59, + 221.37, + 455.61 + ] + }, + { + "text": "FRst", + "bbox_points": [ + 234.48, + 447.49, + 247.53, + 456.28 + ] + }, + { + "text": "0.47", + "bbox_points": [ + 288.4, + 447.59, + 303.64, + 455.61 + ] + }, + { + "text": "0.44", + "bbox_points": [ + 327.06, + 447.59, + 342.31, + 455.61 + ] + }, + { + "text": "0.49", + "bbox_points": [ + 364.08, + 447.59, + 379.33, + 455.61 + ] + }, + { + "text": "0.54", + "bbox_points": [ + 400.88, + 447.59, + 416.12, + 455.61 + ] + }, + { + "text": "0.32", + "bbox_points": [ + 435.91, + 447.59, + 451.16, + 455.61 + ] + }, + { + "text": "0.53", + "bbox_points": [ + 476.84, + 447.59, + 492.09, + 455.61 + ] + } + ] + }, + { + "text": "stock", + "bbox_points": [ + 113.27, + 458.08, + 132.12, + 466.1 + ], + "words": [ + { + "text": "stock", + "bbox_points": [ + 113.27, + 458.08, + 132.12, + 466.1 + ] + } + ] + }, + { + "text": "Output Volume of virgin water VC (MLD) 535.00 528.65 477.06 421.91 814.93 598.62", + "bbox_points": [ + 53.24, + 470.2, + 500.87, + 480.77 + ], + "words": [ + { + "text": "Output", + "bbox_points": [ + 53.24, + 472.08, + 78.86, + 480.1 + ] + }, + { + "text": "Volume", + "bbox_points": [ + 105.22, + 472.08, + 133.54, + 480.1 + ] + }, + { + "text": "of", + "bbox_points": [ + 135.89, + 472.08, + 142.97, + 480.1 + ] + }, + { + "text": "virgin", + "bbox_points": [ + 145.36, + 472.08, + 166.08, + 480.1 + ] + }, + { + "text": "water", + "bbox_points": [ + 168.44, + 472.08, + 188.32, + 480.1 + ] + }, + { + "text": "VC", + "bbox_points": [ + 234.48, + 471.98, + 244.29, + 480.77 + ] + }, + { + "text": "(MLD)", + "bbox_points": [ + 246.67, + 472.08, + 271.81, + 480.1 + ] + }, + { + "text": "535.00", + "bbox_points": [ + 288.4, + 470.2, + 312.42, + 480.1 + ] + }, + { + "text": "528.65", + "bbox_points": [ + 327.06, + 470.2, + 351.09, + 480.1 + ] + }, + { + "text": "477.06", + "bbox_points": [ + 364.08, + 470.2, + 388.11, + 480.1 + ] + }, + { + "text": "421.91", + "bbox_points": [ + 400.87, + 470.2, + 424.96, + 480.1 + ] + }, + { + "text": "814.93", + "bbox_points": [ + 435.91, + 470.2, + 459.99, + 480.1 + ] + }, + { + "text": "598.62", + "bbox_points": [ + 476.84, + 470.2, + 500.87, + 480.1 + ] + } + ] + }, + { + "text": "variables consumed", + "bbox_points": [ + 61.23, + 482.57, + 149.97, + 490.59 + ], + "words": [ + { + "text": "variables", + "bbox_points": [ + 61.23, + 482.57, + 93.27, + 490.59 + ] + }, + { + "text": "consumed", + "bbox_points": [ + 113.27, + 482.57, + 149.97, + 490.59 + ] + } + ] + }, + { + "text": "Fraction of total volume of water L 0.20 0.18 0.15 0.12 0.16 0.10", + "bbox_points": [ + 105.22, + 492.96, + 492.09, + 501.08 + ], + "words": [ + { + "text": "Fraction", + "bbox_points": [ + 105.22, + 493.06, + 135.18, + 501.08 + ] + }, + { + "text": "of", + "bbox_points": [ + 137.54, + 493.06, + 144.61, + 501.08 + ] + }, + { + "text": "total", + "bbox_points": [ + 147.0, + 493.06, + 163.22, + 501.08 + ] + }, + { + "text": "volume", + "bbox_points": [ + 165.6, + 493.06, + 192.11, + 501.08 + ] + }, + { + "text": "of", + "bbox_points": [ + 194.46, + 493.06, + 201.53, + 501.08 + ] + }, + { + "text": "water", + "bbox_points": [ + 203.87, + 493.06, + 223.75, + 501.08 + ] + }, + { + "text": "L", + "bbox_points": [ + 234.48, + 492.96, + 239.64, + 500.96 + ] + }, + { + "text": "0.20", + "bbox_points": [ + 288.4, + 493.06, + 303.64, + 501.08 + ] + }, + { + "text": "0.18", + "bbox_points": [ + 327.06, + 493.06, + 342.31, + 501.08 + ] + }, + { + "text": "0.15", + "bbox_points": [ + 364.08, + 493.06, + 379.33, + 501.08 + ] + }, + { + "text": "0.12", + "bbox_points": [ + 400.87, + 493.06, + 416.12, + 501.08 + ] + }, + { + "text": "0.16", + "bbox_points": [ + 435.91, + 493.06, + 451.16, + 501.08 + ] + }, + { + "text": "0.10", + "bbox_points": [ + 476.84, + 493.06, + 492.09, + 501.08 + ] + } + ] + }, + { + "text": "lost", + "bbox_points": [ + 113.27, + 503.55, + 125.88, + 511.56 + ], + "words": [ + { + "text": "lost", + "bbox_points": [ + 113.27, + 503.55, + 125.88, + 511.56 + ] + } + ] + }, + { + "text": "Volume of water restored Rst (MLD) 262.24 300.28 322.16 344.83 318.08 503.71", + "bbox_points": [ + 105.22, + 513.99, + 500.92, + 522.78 + ], + "words": [ + { + "text": "Volume", + "bbox_points": [ + 105.22, + 514.09, + 133.54, + 522.11 + ] + }, + { + "text": "of", + "bbox_points": [ + 135.89, + 514.09, + 142.96, + 522.11 + ] + }, + { + "text": "water", + "bbox_points": [ + 145.36, + 514.09, + 165.24, + 522.11 + ] + }, + { + "text": "restored", + "bbox_points": [ + 167.58, + 514.09, + 196.46, + 522.11 + ] + }, + { + "text": "Rst", + "bbox_points": [ + 234.48, + 513.99, + 244.52, + 522.78 + ] + }, + { + "text": "(MLD)", + "bbox_points": [ + 247.24, + 514.09, + 272.37, + 522.11 + ] + }, + { + "text": "262.24", + "bbox_points": [ + 288.4, + 514.09, + 312.48, + 522.11 + ] + }, + { + "text": "300.28", + "bbox_points": [ + 327.06, + 514.09, + 351.14, + 522.11 + ] + }, + { + "text": "322.16", + "bbox_points": [ + 364.08, + 514.09, + 388.16, + 522.11 + ] + }, + { + "text": "344.83", + "bbox_points": [ + 400.88, + 514.09, + 424.95, + 522.11 + ] + }, + { + "text": "318.08", + "bbox_points": [ + 435.91, + 514.09, + 459.99, + 522.11 + ] + }, + { + "text": "503.71", + "bbox_points": [ + 476.84, + 514.09, + 500.92, + 522.11 + ] + } + ] + }, + { + "text": "Actual virgin water V (MLD) 272.76 228.37 154.90 77.07 496.85 94.91", + "bbox_points": [ + 105.22, + 524.48, + 496.51, + 532.6 + ], + "words": [ + { + "text": "Actual", + "bbox_points": [ + 105.22, + 524.58, + 128.86, + 532.6 + ] + }, + { + "text": "virgin", + "bbox_points": [ + 131.24, + 524.58, + 151.96, + 532.6 + ] + }, + { + "text": "water", + "bbox_points": [ + 154.32, + 524.58, + 174.2, + 532.6 + ] + }, + { + "text": "V", + "bbox_points": [ + 234.48, + 524.48, + 239.98, + 532.48 + ] + }, + { + "text": "(MLD)", + "bbox_points": [ + 242.36, + 524.58, + 267.5, + 532.6 + ] + }, + { + "text": "272.76", + "bbox_points": [ + 288.4, + 524.58, + 312.48, + 532.6 + ] + }, + { + "text": "228.37", + "bbox_points": [ + 327.06, + 524.58, + 351.14, + 532.6 + ] + }, + { + "text": "154.90", + "bbox_points": [ + 364.08, + 524.58, + 388.16, + 532.6 + ] + }, + { + "text": "77.07", + "bbox_points": [ + 400.88, + 524.58, + 420.54, + 532.6 + ] + }, + { + "text": "496.85", + "bbox_points": [ + 435.91, + 524.58, + 459.99, + 532.6 + ] + }, + { + "text": "94.91", + "bbox_points": [ + 476.84, + 524.58, + 496.51, + 532.6 + ] + } + ] + }, + { + "text": "Volume of untreated water W0 (MLD) 162.03 105.73 55.62 0.00 336.23 0.00", + "bbox_points": [ + 105.22, + 534.97, + 492.09, + 543.76 + ], + "words": [ + { + "text": "Volume", + "bbox_points": [ + 105.22, + 535.07, + 133.54, + 543.09 + ] + }, + { + "text": "of", + "bbox_points": [ + 135.89, + 535.07, + 142.96, + 543.09 + ] + }, + { + "text": "untreated", + "bbox_points": [ + 145.36, + 535.07, + 179.36, + 543.09 + ] + }, + { + "text": "water", + "bbox_points": [ + 181.76, + 535.07, + 201.58, + 543.09 + ] + }, + { + "text": "W0", + "bbox_points": [ + 234.48, + 534.97, + 245.96, + 543.76 + ] + }, + { + "text": "(MLD)", + "bbox_points": [ + 248.31, + 535.07, + 273.45, + 543.09 + ] + }, + { + "text": "162.03", + "bbox_points": [ + 288.4, + 535.07, + 312.48, + 543.09 + ] + }, + { + "text": "105.73", + "bbox_points": [ + 327.06, + 535.07, + 351.14, + 543.09 + ] + }, + { + "text": "55.62", + "bbox_points": [ + 364.08, + 535.07, + 383.75, + 543.09 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 400.88, + 535.07, + 416.12, + 543.09 + ] + }, + { + "text": "336.23", + "bbox_points": [ + 435.91, + 535.07, + 459.99, + 543.09 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 476.84, + 535.07, + 492.09, + 543.09 + ] + } + ] + }, + { + "text": "generated", + "bbox_points": [ + 113.27, + 545.56, + 148.07, + 553.57 + ], + "words": [ + { + "text": "generated", + "bbox_points": [ + 113.27, + 545.56, + 148.07, + 553.57 + ] + } + ] + }, + { + "text": "Total water discharged W (MLD) 272.76 228.37 154.90 77.07 496.85 94.91", + "bbox_points": [ + 105.22, + 555.95, + 496.51, + 564.06 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 105.22, + 556.05, + 123.68, + 564.06 + ] + }, + { + "text": "water", + "bbox_points": [ + 126.09, + 556.05, + 145.97, + 564.06 + ] + }, + { + "text": "discharged", + "bbox_points": [ + 148.37, + 556.05, + 187.16, + 564.06 + ] + }, + { + "text": "W", + "bbox_points": [ + 234.48, + 555.95, + 242.64, + 563.95 + ] + }, + { + "text": "(MLD)", + "bbox_points": [ + 245.03, + 556.05, + 270.16, + 564.06 + ] + }, + { + "text": "272.76", + "bbox_points": [ + 288.4, + 556.05, + 312.48, + 564.06 + ] + }, + { + "text": "228.37", + "bbox_points": [ + 327.06, + 556.05, + 351.14, + 564.06 + ] + }, + { + "text": "154.90", + "bbox_points": [ + 364.08, + 556.05, + 388.16, + 564.06 + ] + }, + { + "text": "77.07", + "bbox_points": [ + 400.87, + 556.05, + 420.54, + 564.06 + ] + }, + { + "text": "496.85", + "bbox_points": [ + 435.91, + 556.05, + 459.99, + 564.06 + ] + }, + { + "text": "94.91", + "bbox_points": [ + 476.84, + 556.05, + 496.51, + 564.06 + ] + } + ] + }, + { + "text": "Linear flow index LFI 0.49 0.34 0.23 0.12 0.49 0.10", + "bbox_points": [ + 105.22, + 566.31, + 492.09, + 574.61 + ], + "words": [ + { + "text": "Linear", + "bbox_points": [ + 105.22, + 566.59, + 128.94, + 574.61 + ] + }, + { + "text": "flow", + "bbox_points": [ + 131.3, + 566.31, + 146.81, + 574.61 + ] + }, + { + "text": "index", + "bbox_points": [ + 149.16, + 566.59, + 168.8, + 574.61 + ] + }, + { + "text": "LFI", + "bbox_points": [ + 234.48, + 566.59, + 247.71, + 574.61 + ] + }, + { + "text": "0.49", + "bbox_points": [ + 288.4, + 566.59, + 303.65, + 574.61 + ] + }, + { + "text": "0.34", + "bbox_points": [ + 327.06, + 566.59, + 342.31, + 574.61 + ] + }, + { + "text": "0.23", + "bbox_points": [ + 364.08, + 566.59, + 379.33, + 574.61 + ] + }, + { + "text": "0.12", + "bbox_points": [ + 400.88, + 566.59, + 416.12, + 574.61 + ] + }, + { + "text": "0.49", + "bbox_points": [ + 435.91, + 566.59, + 451.16, + 574.61 + ] + }, + { + "text": "0.10", + "bbox_points": [ + 476.84, + 566.59, + 492.09, + 574.61 + ] + } + ] + }, + { + "text": "Water circularity indicator WCI 0.51 0.66 0.77 0.88 0.51 0.90", + "bbox_points": [ + 105.22, + 575.2, + 492.09, + 585.1 + ], + "words": [ + { + "text": "Water", + "bbox_points": [ + 105.22, + 577.08, + 127.03, + 585.1 + ] + }, + { + "text": "circularity", + "bbox_points": [ + 129.26, + 577.08, + 165.69, + 585.1 + ] + }, + { + "text": "indicator", + "bbox_points": [ + 168.04, + 577.08, + 200.29, + 585.1 + ] + }, + { + "text": "WCI", + "bbox_points": [ + 234.48, + 575.2, + 252.13, + 583.2 + ] + }, + { + "text": "0.51", + "bbox_points": [ + 288.4, + 577.08, + 303.64, + 585.1 + ] + }, + { + "text": "0.66", + "bbox_points": [ + 327.06, + 577.08, + 342.31, + 585.1 + ] + }, + { + "text": "0.77", + "bbox_points": [ + 364.08, + 577.08, + 379.33, + 585.1 + ] + }, + { + "text": "0.88", + "bbox_points": [ + 400.88, + 577.08, + 416.12, + 585.1 + ] + }, + { + "text": "0.51", + "bbox_points": [ + 435.91, + 577.08, + 451.16, + 585.1 + ] + }, + { + "text": "0.90", + "bbox_points": [ + 476.84, + 577.08, + 492.09, + 585.1 + ] + } + ] + }, + { + "text": "Improved WCI WCI-2.0 0.26 0.42 0.52 0.63 0.35 0.67", + "bbox_points": [ + 105.22, + 585.69, + 492.08, + 595.58 + ], + "words": [ + { + "text": "Improved", + "bbox_points": [ + 105.22, + 587.57, + 139.93, + 595.58 + ] + }, + { + "text": "WCI", + "bbox_points": [ + 142.3, + 587.57, + 159.53, + 595.58 + ] + }, + { + "text": "WCI-2.0", + "bbox_points": [ + 234.48, + 585.69, + 265.96, + 593.69 + ] + }, + { + "text": "0.26", + "bbox_points": [ + 288.4, + 585.69, + 303.64, + 595.58 + ] + }, + { + "text": "0.42", + "bbox_points": [ + 327.06, + 585.69, + 342.3, + 595.58 + ] + }, + { + "text": "0.52", + "bbox_points": [ + 364.08, + 585.69, + 379.32, + 595.58 + ] + }, + { + "text": "0.63", + "bbox_points": [ + 400.88, + 585.69, + 416.11, + 595.58 + ] + }, + { + "text": "0.35", + "bbox_points": [ + 435.91, + 585.69, + 451.15, + 595.58 + ] + }, + { + "text": "0.67", + "bbox_points": [ + 476.84, + 585.69, + 492.08, + 595.58 + ] + } + ] + }, + { + "text": "VC Inflows 535.00 528.65 477.06 421.91 814.93 598.62", + "bbox_points": [ + 105.22, + 597.78, + 500.92, + 606.8 + ], + "words": [ + { + "text": "VC", + "bbox_points": [ + 105.22, + 598.06, + 115.54, + 606.8 + ] + }, + { + "text": "Inflows", + "bbox_points": [ + 234.48, + 597.78, + 261.2, + 606.07 + ] + }, + { + "text": "535.00", + "bbox_points": [ + 288.4, + 598.06, + 312.48, + 606.07 + ] + }, + { + "text": "528.65", + "bbox_points": [ + 327.06, + 598.06, + 351.14, + 606.07 + ] + }, + { + "text": "477.06", + "bbox_points": [ + 364.08, + 598.06, + 388.16, + 606.07 + ] + }, + { + "text": "421.91", + "bbox_points": [ + 400.88, + 598.06, + 424.95, + 606.07 + ] + }, + { + "text": "814.93", + "bbox_points": [ + 435.91, + 598.06, + 459.99, + 606.07 + ] + }, + { + "text": "598.62", + "bbox_points": [ + 476.84, + 598.06, + 500.92, + 606.07 + ] + } + ] + }, + { + "text": "(MLD)", + "bbox_points": [ + 242.48, + 608.54, + 267.61, + 616.56 + ], + "words": [ + { + "text": "(MLD)", + "bbox_points": [ + 242.48, + 608.54, + 267.61, + 616.56 + ] + } + ] + }, + { + "text": "W þ Rst Outflows 535.00 528.65 477.06 421.91 814.93 598.62", + "bbox_points": [ + 105.22, + 618.81, + 500.92, + 627.78 + ], + "words": [ + { + "text": "W", + "bbox_points": [ + 105.22, + 618.99, + 113.38, + 626.99 + ] + }, + { + "text": "þ", + "bbox_points": [ + 114.97, + 618.81, + 121.13, + 626.81 + ] + }, + { + "text": "Rst", + "bbox_points": [ + 122.68, + 618.99, + 132.72, + 627.78 + ] + }, + { + "text": "Outflows", + "bbox_points": [ + 234.48, + 618.81, + 267.15, + 627.11 + ] + }, + { + "text": "535.00", + "bbox_points": [ + 288.4, + 619.09, + 312.48, + 627.11 + ] + }, + { + "text": "528.65", + "bbox_points": [ + 327.06, + 619.09, + 351.14, + 627.11 + ] + }, + { + "text": "477.06", + "bbox_points": [ + 364.08, + 619.09, + 388.16, + 627.11 + ] + }, + { + "text": "421.91", + "bbox_points": [ + 400.88, + 619.09, + 424.95, + 627.11 + ] + }, + { + "text": "814.93", + "bbox_points": [ + 435.91, + 619.09, + 459.99, + 627.11 + ] + }, + { + "text": "598.62", + "bbox_points": [ + 476.84, + 619.09, + 500.92, + 627.11 + ] + } + ] + }, + { + "text": "(MLD)", + "bbox_points": [ + 242.48, + 629.58, + 267.61, + 637.59 + ], + "words": [ + { + "text": "(MLD)", + "bbox_points": [ + 242.48, + 629.58, + 267.61, + 637.59 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Kakwani and Kalbar - 2024 - Prioritization of strategies for urban water circu/table_03.txt b/Figures/Kakwani and Kalbar - 2024 - Prioritization of strategies for urban water circu/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..71970394facd0930d2115c7acaa72ece16c414eb --- /dev/null +++ b/Figures/Kakwani and Kalbar - 2024 - Prioritization of strategies for urban water circu/table_03.txt @@ -0,0 +1 @@ +Input and output variables to evaluate water circularity indicator based on six scenarios generated for Pimpri-Chinch- diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_01.jpg b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..86b59ed6cf3af7ab82591769baf9fa9eaa09e1ef --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:166a1cf5f009b59b72db21c2a6b934b933ca28fdbce580c25a09202b3a4b7cd0 +size 70355 diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_01.txt b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..0988be77f2989904337002a064c3981e3d567f1a --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_01.txt @@ -0,0 +1 @@ +Schematic of the present research model with dimensions and macro-roughnesses installed. diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_02.jpg b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ba4fa942ee14192b754add1eaf1e02a19aa1afb1 --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f440a7ea0fe0d43718471e001107c0fda076700baf85b893648386f907ebbddf +size 115785 diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_02.txt b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..417bc2b93223415a1322dbf3a02200d18aac4e45 --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_02.txt @@ -0,0 +1 @@ +Meshing, boundary condition, and solution field network. diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_03.jpg b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a69e059282db236888463f04b1783eed59af4a57 --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:90b354b135595615b4b9663bf51d675f060cef6ab9d06cd19b86e6088d1e55a8 +size 134760 diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_03.txt b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a120d147c4a666c0e8806c644f87bb0be64c50a --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_03.txt @@ -0,0 +1 @@ +Physical and laboratory model of verification of the present research. diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_04.jpg b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6edf3f991bd492bbc05eb98c4d4769b13f420369 --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f007223edc45d172a05066e216ddea72d3ecf79bdd538a5c33fb1ff729eee7fa +size 123122 diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_04.txt b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed27bc9ae5a86fc41852b5df857d1522823851f9 --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_04.txt @@ -0,0 +1 @@ +Validation of numerical data experimentally based on the parameter of relative energy dissipation for H ¼ 20 cm: (a) θ ¼ 26.56° and (b) θ ¼ 33.7°. diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_05.jpg b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3f2de75fa5d4330f85616ae62010c6d0d00d4514 --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f5252456bbd2bf11d5852f50d459dde15b481405b2f522159c565e1c6d1b1d7f +size 58680 diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_05.txt b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c103307c8cd1104009464e58757364bf44e3fa6 --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_05.txt @@ -0,0 +1 @@ +Q–t hydrograph diagram of equilibrium and flow rate stability. diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_06.jpg b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..09350004441e24ee8980433bd22968a764e1821f --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:921eb28bcc772322ca1beca3fe9a14cd2e7b37425f2c71d7168c3ab2416c199d +size 165869 diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_06.txt b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e9f32c22e23868aeda6ec39183061b5a1bdb770 --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_06.txt @@ -0,0 +1 @@ +Longitudinal profile of flow on macro-roughnesses. diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_07.jpg b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9d99d9a9fe61f32ca73f3d5fa6b3b8e08b9141f1 --- /dev/null +++ b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8d36ef5fad7993e35c155b1d7a2da9a9521f98f3853b9674c92a860f80b4a271 +size 171400 diff --git a/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_07.txt b/Figures/Kalateh et al. - 2024 - On the hydraulic performance of the inclined drops the effect of downstream macro-roughness element/figure_07.txt new file mode 100644 index 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"text": "No. Transport type Year 1975 1979 1987 1992 2000 2002", + "bbox_points": [ + 43.43, + 373.15, + 539.82, + 379.15 + ], + "words": [ + { + "text": "No.", + "bbox_points": [ + 43.43, + 373.15, + 53.79, + 379.15 + ] + }, + { + "text": "Transport", + "bbox_points": [ + 84.02, + 373.15, + 113.99, + 379.15 + ] + }, + { + "text": "type", + "bbox_points": [ + 115.99, + 373.15, + 129.86, + 379.15 + ] + }, + { + "text": "Year", + "bbox_points": [ + 173.25, + 373.15, + 187.56, + 379.15 + ] + }, + { + "text": "1975", + "bbox_points": [ + 285.62, + 373.15, + 299.61, + 379.15 + ] + }, + { + "text": "1979", + "bbox_points": [ + 331.03, + 373.15, + 345.02, + 379.15 + ] + }, + { + "text": "1987", + "bbox_points": [ + 376.44, + 373.15, + 390.43, + 379.15 + ] + }, + { + "text": "1992", + "bbox_points": [ + 426.21, + 373.15, + 440.21, + 379.15 + ] + }, + { + "text": "2000", + "bbox_points": [ + 476.05, + 373.15, + 490.04, + 379.15 + ] + }, + { + "text": "2002", + "bbox_points": [ + 525.82, + 373.15, + 539.82, + 379.15 + ] + } + ] + }, + { + "text": "1 Roadway trucks Total weight (106 tons) 58.3 73.3 154.1 165.5 300.2 312.8", + "bbox_points": [ + 43.43, + 386.82, + 545.49, + 396.31 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 43.43, + 388.27, + 47.84, + 396.27 + ] + }, + { + "text": "Roadway", + "bbox_points": [ + 84.02, + 388.27, + 117.66, + 396.27 + ] + }, + { + "text": "trucks", + "bbox_points": [ + 120.08, + 388.27, + 143.14, + 396.27 + ] + }, + { + "text": "Total", + "bbox_points": [ + 173.25, + 388.29, + 191.71, + 396.31 + ] + }, + { + "text": "weight", + "bbox_points": [ + 194.12, + 388.29, + 217.89, + 396.31 + ] + }, + { + "text": "(106", + "bbox_points": [ + 220.59, + 386.82, + 235.47, + 396.31 + ] + }, + { + "text": "tons)", + "bbox_points": [ + 237.49, + 388.29, + 255.45, + 396.31 + ] + }, + { + "text": "58.3", + "bbox_points": [ + 285.62, + 388.29, + 300.87, + 396.31 + ] + }, + { + "text": "73.3", + "bbox_points": [ + 331.03, + 388.29, + 346.28, + 396.31 + ] + }, + { + "text": "154.1", + "bbox_points": [ + 376.44, + 388.29, + 396.1, + 396.31 + ] + }, + { + "text": "165.5", + "bbox_points": [ + 426.22, + 388.29, + 445.88, + 396.31 + ] + }, + { + "text": "300.2", + "bbox_points": [ + 476.05, + 388.29, + 495.71, + 396.31 + ] + }, + { + "text": "312.8", + "bbox_points": [ + 525.83, + 388.29, + 545.49, + 396.31 + ] + } + ] + }, + { + "text": "% 82.9 88.7 91.9 92.8 95.5 95.7", + "bbox_points": [ + 173.25, + 398.84, + 541.07, + 406.85 + ], + "words": [ + { + "text": "%", + "bbox_points": [ + 173.25, + 398.84, + 180.25, + 406.85 + ] + }, + { + "text": "82.9", + "bbox_points": [ + 285.62, + 398.84, + 300.87, + 406.85 + ] + }, + { + "text": "88.7", + "bbox_points": [ + 331.03, + 398.84, + 346.28, + 406.85 + ] + }, + { + "text": "91.9", + "bbox_points": [ + 376.44, + 398.84, + 391.69, + 406.85 + ] + }, + { + "text": "92.8", + "bbox_points": [ + 426.22, + 398.84, + 441.46, + 406.85 + ] + }, + { + "text": "95.5", + "bbox_points": [ + 476.05, + 398.84, + 491.3, + 406.85 + ] + }, + { + "text": "95.7", + "bbox_points": [ + 525.83, + 398.84, + 541.07, + 406.85 + ] + } + ] + }, + { + "text": "2 Rail ways Total weight (106 tons) 7.8 5.1 6.9 9.6 11.9 12.1", + "bbox_points": [ + 43.43, + 411.31, + 541.07, + 420.86 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 43.43, + 412.81, + 47.84, + 420.81 + ] + }, + { + "text": "Rail", + "bbox_points": [ + 84.02, + 412.81, + 99.08, + 420.81 + ] + }, + { + "text": "ways", + "bbox_points": [ + 101.48, + 412.81, + 119.18, + 420.81 + ] + }, + { + "text": "Total", + "bbox_points": [ + 173.25, + 412.84, + 191.71, + 420.86 + ] + }, + { + "text": "weight", + "bbox_points": [ + 194.12, + 412.84, + 217.89, + 420.86 + ] + }, + { + "text": "(106", + "bbox_points": [ + 220.59, + 411.31, + 235.47, + 420.86 + ] + }, + { + "text": "tons)", + "bbox_points": [ + 237.49, + 412.84, + 255.45, + 420.86 + ] + }, + { + "text": "7.8", + "bbox_points": [ + 285.62, + 412.84, + 296.45, + 420.86 + ] + }, + { + "text": "5.1", + "bbox_points": [ + 331.03, + 412.84, + 341.86, + 420.86 + ] + }, + { + "text": "6.9", + "bbox_points": [ + 376.44, + 412.84, + 387.27, + 420.86 + ] + }, + { + "text": "9.6", + "bbox_points": [ + 426.22, + 412.84, + 437.05, + 420.86 + ] + }, + { + "text": "11.9", + "bbox_points": [ + 476.05, + 412.84, + 491.3, + 420.86 + ] + }, + { + "text": "12.1", + "bbox_points": [ + 525.83, + 412.84, + 541.07, + 420.86 + ] + } + ] + }, + { + "text": "% 11.1 6.2 4.1 5.4 3.8 3.7", + "bbox_points": [ + 173.25, + 423.33, + 536.66, + 431.34 + ], + "words": [ + { + "text": "%", + "bbox_points": [ + 173.25, + 423.33, + 180.25, + 431.34 + ] + }, + { + "text": "11.1", + "bbox_points": [ + 285.62, + 423.33, + 300.87, + 431.34 + ] + }, + { + "text": "6.2", + "bbox_points": [ + 331.03, + 423.33, + 341.86, + 431.34 + ] + }, + { + "text": "4.1", + "bbox_points": [ + 376.44, + 423.33, + 387.27, + 431.34 + ] + }, + { + "text": "5.4", + "bbox_points": [ + 426.22, + 423.33, + 437.05, + 431.34 + ] + }, + { + "text": "3.8", + "bbox_points": [ + 476.05, + 423.33, + 486.88, + 431.34 + ] + }, + { + "text": "3.7", + "bbox_points": [ + 525.83, + 423.33, + 536.66, + 431.34 + ] + } + ] + }, + { + "text": "3 Inland barges Total weight (106 tons) 4.2 4.2 6.7 3.2 2.2 2.1", + "bbox_points": [ + 43.43, + 435.8, + 536.66, + 445.35 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 43.43, + 437.3, + 47.84, + 445.3 + ] + }, + { + "text": "Inland", + "bbox_points": [ + 84.02, + 437.3, + 108.75, + 445.3 + ] + }, + { + "text": "barges", + "bbox_points": [ + 111.12, + 437.3, + 135.0, + 445.3 + ] + }, + { + "text": "Total", + "bbox_points": [ + 173.25, + 437.33, + 191.71, + 445.35 + ] + }, + { + "text": "weight", + "bbox_points": [ + 194.12, + 437.33, + 217.89, + 445.35 + ] + }, + { + "text": "(106", + "bbox_points": [ + 220.59, + 435.8, + 235.47, + 445.35 + ] + }, + { + "text": "tons)", + "bbox_points": [ + 237.49, + 437.33, + 255.45, + 445.35 + ] + }, + { + "text": "4.2", + "bbox_points": [ + 285.62, + 437.33, + 296.45, + 445.35 + ] + }, + { + "text": "4.2", + "bbox_points": [ + 331.03, + 437.33, + 341.86, + 445.35 + ] + }, + { + "text": "6.7", + "bbox_points": [ + 376.44, + 437.33, + 387.27, + 445.35 + ] + }, + { + "text": "3.2", + "bbox_points": [ + 426.22, + 437.33, + 437.05, + 445.35 + ] + }, + { + "text": "2.2", + "bbox_points": [ + 476.05, + 437.33, + 486.88, + 445.35 + ] + }, + { + "text": "2.1", + "bbox_points": [ + 525.83, + 437.33, + 536.66, + 445.35 + ] + } + ] + }, + { + "text": "% 6.0 5.1 4.0 1.8 0.7 0.64", + "bbox_points": [ + 173.25, + 447.82, + 541.07, + 455.84 + ], + "words": [ + { + "text": "%", + "bbox_points": [ + 173.25, + 447.82, + 180.25, + 455.84 + ] + }, + { + "text": "6.0", + "bbox_points": [ + 285.62, + 447.82, + 296.45, + 455.84 + ] + }, + { + "text": "5.1", + "bbox_points": [ + 331.03, + 447.82, + 341.86, + 455.84 + ] + }, + { + "text": "4.0", + "bbox_points": [ + 376.44, + 447.82, + 387.27, + 455.84 + ] + }, + { + "text": "1.8", + "bbox_points": [ + 426.22, + 447.82, + 437.05, + 455.84 + ] + }, + { + "text": "0.7", + "bbox_points": [ + 476.05, + 447.82, + 486.88, + 455.84 + ] + }, + { + "text": "0.64", + "bbox_points": [ + 525.83, + 447.82, + 541.07, + 455.84 + ] + } + ] + }, + { + "text": "Total transported weight (106 tons) 70.3 82.6 167.7 178.3 314.3 327.0", + "bbox_points": [ + 43.43, + 460.03, + 545.49, + 469.84 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 461.8, + 62.39, + 469.8 + ] + }, + { + "text": "transported", + "bbox_points": [ + 64.8, + 461.8, + 107.64, + 469.8 + ] + }, + { + "text": "weight", + "bbox_points": [ + 110.04, + 461.8, + 134.78, + 469.8 + ] + }, + { + "text": "(106", + "bbox_points": [ + 137.48, + 460.03, + 152.13, + 469.8 + ] + }, + { + "text": "tons)", + "bbox_points": [ + 154.43, + 461.8, + 172.74, + 469.8 + ] + }, + { + "text": "70.3", + "bbox_points": [ + 285.62, + 461.82, + 300.87, + 469.84 + ] + }, + { + "text": "82.6", + "bbox_points": [ + 331.03, + 461.82, + 346.28, + 469.84 + ] + }, + { + "text": "167.7", + "bbox_points": [ + 376.44, + 461.82, + 396.1, + 469.84 + ] + }, + { + "text": "178.3", + "bbox_points": [ + 426.22, + 461.82, + 445.88, + 469.84 + ] + }, + { + "text": "314.3", + "bbox_points": [ + 476.05, + 461.82, + 495.71, + 469.84 + ] + }, + { + "text": "327.0", + "bbox_points": [ + 525.83, + 461.82, + 545.49, + 469.84 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Kamal - 2024 - Smart River Information Services in managing Nile River navigation system/table_01.txt b/Figures/Kamal - 2024 - Smart River Information Services in managing Nile River navigation system/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..336cd1d53eb2fa27a67c48fbea84ce7f45e5065d --- /dev/null +++ b/Figures/Kamal - 2024 - Smart River Information Services in managing Nile River navigation system/table_01.txt @@ -0,0 +1 @@ +Cargo transportation types (River Transport Authority 2020) diff --git 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"bbox_points": [ + 289.02, + 563.13, + 315.91, + 569.13 + ], + "words": [ + { + "text": "1st", + "bbox_points": [ + 289.02, + 563.13, + 298.45, + 569.13 + ] + }, + { + "text": "class", + "bbox_points": [ + 300.36, + 563.13, + 315.91, + 569.13 + ] + } + ] + }, + { + "text": "Item\\category The Nile Main Canal 2nd class 3rd class", + "bbox_points": [ + 64.01, + 578.15, + 565.98, + 584.15 + ], + "words": [ + { + "text": "Item\\category", + "bbox_points": [ + 64.01, + 578.15, + 107.75, + 584.15 + ] + }, + { + "text": "The", + "bbox_points": [ + 289.02, + 578.15, + 300.2, + 584.15 + ] + }, + { + "text": "Nile", + "bbox_points": [ + 302.17, + 578.15, + 314.41, + 584.15 + ] + }, + { + "text": "Main", + "bbox_points": [ + 367.77, + 578.15, + 383.26, + 584.15 + ] + }, + { + "text": "Canal", + "bbox_points": [ + 385.28, + 578.15, + 402.58, + 584.15 + ] + }, + { + "text": "2nd", + "bbox_points": [ + 455.93, + 578.15, + 467.42, + 584.15 + ] + }, + { + "text": "class", + "bbox_points": [ + 469.42, 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b/Figures/Kamal - 2024 - Smart River Information Services in managing Nile River navigation system/table_02.txt @@ -0,0 +1 @@ +Egypt’s inland waterways classification (Saber 2011; Radwan 2020; River Transport Authority 2020) diff --git a/Figures/Kamal - 2024 - Smart River Information Services in managing Nile River navigation system/table_03.jpg b/Figures/Kamal - 2024 - Smart River Information Services in managing Nile River navigation system/table_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2c8418e1c71a18cbc56184775446a512d6565693 --- /dev/null +++ b/Figures/Kamal - 2024 - Smart River Information Services in managing Nile River navigation system/table_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b5f9af282e85d178f6cc5c5463b34b586d511c0362730ee82a760a0bdb69c0d4 +size 182341 diff --git a/Figures/Kamal - 2024 - Smart River Information Services in managing Nile River navigation system/table_03.json b/Figures/Kamal - 2024 - 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106.93, + 279.92 + ] + }, + { + "text": "comments", + "bbox_points": [ + 109.14, + 271.9, + 146.25, + 279.92 + ] + }, + { + "text": "land-use", + "bbox_points": [ + 252.74, + 271.9, + 282.53, + 279.91 + ] + }, + { + "text": "change", + "bbox_points": [ + 284.88, + 271.9, + 310.53, + 279.91 + ] + }, + { + "text": "either", + "bbox_points": [ + 417.37, + 271.9, + 438.18, + 279.91 + ] + }, + { + "text": "by", + "bbox_points": [ + 440.56, + 271.9, + 448.98, + 279.91 + ] + }, + { + "text": "rainfall,", + "bbox_points": [ + 451.33, + 271.9, + 478.88, + 279.91 + ] + }, + { + "text": "or", + "bbox_points": [ + 481.27, + 271.9, + 489.0, + 279.91 + ] + }, + { + "text": "sediment", + "bbox_points": [ + 513.98, + 271.9, + 546.53, + 279.91 + ] + } + ] + }, + { + "text": "land cover change or upstream", + "bbox_points": [ + 417.37, + 282.39, + 547.0, + 290.4 + ], + "words": [ + { + "text": "land", + "bbox_points": [ + 417.37, + 282.39, + 433.18, + 290.4 + ] + }, + { + "text": "cover", + "bbox_points": [ + 435.57, + 282.39, + 455.15, + 290.4 + ] + }, + { + "text": "change", + "bbox_points": [ + 457.34, + 282.39, + 482.99, + 290.4 + ] + }, + { + "text": "or", + "bbox_points": [ + 485.35, + 282.39, + 493.08, + 290.4 + ] + }, + { + "text": "upstream", + "bbox_points": [ + 513.98, + 282.39, + 547.0, + 290.4 + ] + } + ] + }, + { + "text": "both", + "bbox_points": [ + 417.37, + 292.87, + 433.69, + 300.89 + ], + "words": [ + { + "text": "both", + "bbox_points": [ + 417.37, + 292.87, + 433.69, + 300.89 + ] + } + ] + }, + { + "text": "Goods transported Construction Construction Construction Mostly agricultural and Dry & Yields", + "bbox_points": [ + 64.01, + 306.87, + 554.14, + 314.89 + ], + "words": [ + { + "text": "Goods", + "bbox_points": [ + 64.01, + 306.88, + 87.81, + 314.89 + ] + }, + { + "text": "transported", + "bbox_points": [ + 89.97, + 306.88, + 131.2, + 314.89 + ] + }, + { + "text": "Construction", + "bbox_points": [ + 162.26, + 306.88, + 208.82, + 314.89 + ] + }, + { + "text": "Construction", + "bbox_points": [ + 244.74, + 306.88, + 291.25, + 314.89 + ] + }, + { + "text": "Construction", + "bbox_points": [ + 326.89, + 306.87, + 373.46, + 314.89 + ] + }, + { + "text": "Mostly", + "bbox_points": [ + 409.38, + 306.87, + 433.76, + 314.89 + ] + }, + { + "text": "agricultural", + "bbox_points": [ + 435.97, + 306.87, + 477.1, + 314.89 + ] + }, + { + "text": "and", + "bbox_points": [ + 479.51, + 306.87, + 492.99, + 314.89 + ] + }, + { + "text": "Dry", + "bbox_points": [ + 505.98, + 306.87, + 519.72, + 314.89 + ] + }, + { + "text": "&", + "bbox_points": [ + 522.08, + 306.87, + 529.41, + 314.89 + ] + }, + { + "text": "Yields", + "bbox_points": [ + 531.84, + 306.87, + 554.14, + 314.89 + ] + } + ] + }, + { + "text": "material dry and material dry and material dry and metal goods cargo,", + "bbox_points": [ + 170.25, + 317.36, + 535.87, + 325.38 + ], + "words": [ + { + "text": "material", + "bbox_points": [ + 170.25, + 317.36, + 199.74, + 325.38 + ] + }, + { + "text": "dry", + "bbox_points": [ + 202.11, + 317.36, + 213.85, + 325.38 + ] + }, + { + "text": "and", + "bbox_points": [ + 216.06, + 317.36, + 229.54, + 325.38 + ] + }, + { + "text": "material", + "bbox_points": [ + 252.74, + 317.36, + 282.23, + 325.38 + ] + }, + { + "text": "dry", + "bbox_points": [ + 284.6, + 317.36, + 296.33, + 325.38 + ] + }, + { + "text": "and", + "bbox_points": [ + 298.55, + 317.36, + 312.03, + 325.38 + ] + }, + { + "text": "material", + "bbox_points": [ + 334.94, + 317.36, + 364.44, + 325.38 + ] + }, + { + "text": "dry", + "bbox_points": [ + 366.8, + 317.36, + 378.54, + 325.38 + ] + }, + { + "text": "and", + "bbox_points": [ + 380.75, + 317.36, + 394.23, + 325.38 + ] + }, + { + "text": "metal", + "bbox_points": [ + 417.37, + 317.36, + 437.44, + 325.38 + ] + }, + { + "text": "goods", + "bbox_points": [ + 439.82, + 317.36, + 460.88, + 325.38 + ] + }, + { + "text": "cargo,", + "bbox_points": [ + 513.98, + 317.36, + 535.87, + 325.38 + ] + } + ] + }, + { + "text": "solid cargo solid cargo solid cargo construction", + "bbox_points": [ + 170.25, + 327.85, + 559.01, + 335.87 + ], + "words": [ + { + "text": "solid", + "bbox_points": [ + 170.25, + 327.85, + 187.39, + 335.87 + ] + }, + { + "text": "cargo", + "bbox_points": [ + 189.75, + 327.85, + 209.65, + 335.87 + ] + }, + { + "text": "solid", + "bbox_points": [ + 252.74, + 327.85, + 269.87, + 335.87 + ] + }, + { + "text": "cargo", + "bbox_points": [ + 272.24, + 327.85, + 292.14, + 335.87 + ] + }, + { + "text": "solid", + "bbox_points": [ + 334.94, + 327.85, + 352.08, + 335.87 + ] + }, + { + "text": "cargo", + "bbox_points": [ + 354.44, + 327.85, + 374.34, + 335.87 + ] + }, + { + "text": "construction", + "bbox_points": [ + 513.98, + 327.85, + 559.01, + 335.87 + ] + } + ] + }, + { + "text": "material", + "bbox_points": [ + 513.98, + 338.39, + 543.53, + 346.41 + ], + "words": [ + { + "text": "material", + "bbox_points": [ + 513.98, + 338.39, + 543.53, + 346.41 + ] + } + ] + }, + { + "text": "Total volume 551 1,180 578 45 6", + "bbox_points": [ + 64.01, + 352.4, + 510.4, + 360.41 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 352.4, + 82.47, + 360.41 + ] + }, + { + "text": "volume", + "bbox_points": [ + 84.87, + 352.4, + 111.32, + 360.41 + ] + }, + { + "text": "551", + "bbox_points": [ + 162.26, + 352.4, + 175.5, + 360.41 + ] + }, + { + "text": "1,180", + "bbox_points": [ + 244.74, + 352.4, + 264.41, + 360.41 + ] + }, + { + "text": "578", + "bbox_points": [ + 326.89, + 352.4, + 340.14, + 360.41 + ] + }, + { + "text": "45", + "bbox_points": [ + 409.38, + 352.4, + 418.21, + 360.41 + ] + }, + { + "text": "6", + "bbox_points": [ + 505.98, + 352.4, + 510.4, + 360.41 + ] + } + ] + }, + { + "text": "transported on", + "bbox_points": [ + 72.0, + 362.88, + 124.92, + 370.9 + ], + "words": [ + { + "text": "transported", + "bbox_points": [ + 72.0, + 362.88, + 113.25, + 370.9 + ] + }, + { + "text": "on", + "bbox_points": [ + 115.6, + 362.88, + 124.92, + 370.9 + ] + } + ] + }, + { + "text": "waterways (million", + "bbox_points": [ + 72.0, + 373.37, + 139.89, + 381.39 + ], + "words": [ + { + "text": "waterways", + "bbox_points": [ + 72.0, + 373.37, + 109.12, + 381.39 + ] + }, + { + "text": "(million", + "bbox_points": [ + 111.52, + 373.37, + 139.89, + 381.39 + ] + } + ] + }, + { + "text": "tons)", + "bbox_points": [ + 72.0, + 383.86, + 89.97, + 391.88 + ], + "words": [ + { + "text": "tons)", + "bbox_points": [ + 72.0, + 383.86, + 89.97, + 391.88 + ] + } + ] + }, + { + "text": "The average barge 1,000–1,360 1,000–5,000 1,300–2,150 1,000–1,300 300–400", + "bbox_points": [ + 64.01, + 397.58, + 536.47, + 405.88 + ], + "words": [ + { + "text": "The", + "bbox_points": [ + 64.01, + 397.86, + 77.75, + 405.88 + ] + }, + { + "text": "average", + "bbox_points": [ + 80.11, + 397.86, + 107.24, + 405.88 + ] + }, + { + "text": "barge", + "bbox_points": [ + 109.59, + 397.86, + 129.33, + 405.88 + ] + }, + { + "text": "1,000–1,360", + "bbox_points": [ + 162.26, + 397.58, + 205.5, + 405.88 + ] + }, + { + "text": "1,000–5,000", + "bbox_points": [ + 244.75, + 397.58, + 287.99, + 405.88 + ] + }, + { + "text": "1,300–2,150", + "bbox_points": [ + 326.89, + 397.58, + 370.2, + 405.88 + ] + }, + { + "text": "1,000–1,300", + "bbox_points": [ + 409.38, + 397.58, + 452.68, + 405.88 + ] + }, + { + "text": "300–400", + "bbox_points": [ + 505.99, + 397.58, + 536.47, + 405.88 + ] + } + ] + }, + { + "text": "capacity (tons)", + "bbox_points": [ + 72.0, + 408.35, + 124.69, + 416.37 + ], + "words": [ + { + "text": "capacity", + "bbox_points": [ + 72.0, + 408.35, + 101.63, + 416.37 + ] + }, + { + "text": "(tons)", + "bbox_points": [ + 103.98, + 408.35, + 124.69, + 416.37 + ] + } + ] + }, + { + "text": "Important inland ports Duisport Chongqing South Louisiana Manaus Alexandria", + "bbox_points": [ + 64.01, + 422.35, + 545.41, + 430.37 + ], + "words": [ + { + "text": "Important", + "bbox_points": [ + 64.01, + 422.35, + 100.54, + 430.37 + ] + }, + { + "text": "inland", + "bbox_points": [ + 102.84, + 422.35, + 125.72, + 430.37 + ] + }, + { + "text": "ports", + "bbox_points": [ + 128.13, + 422.35, + 146.34, + 430.37 + ] + }, + { + "text": "Duisport", + "bbox_points": [ + 162.26, + 422.35, + 193.86, + 430.37 + ] + }, + { + "text": "Chongqing", + "bbox_points": [ + 244.75, + 422.35, + 283.94, + 430.37 + ] + }, + { + "text": "South", + "bbox_points": [ + 326.89, + 422.35, + 348.11, + 430.37 + ] + }, + { + "text": "Louisiana", + "bbox_points": [ + 350.48, + 422.35, + 386.0, + 430.37 + ] + }, + { + "text": "Manaus", + "bbox_points": [ + 409.38, + 422.35, + 438.09, + 430.37 + ] + }, + { + "text": "Alexandria", + "bbox_points": [ + 505.99, + 422.35, + 545.41, + 430.37 + ] + } + ] + }, + { + "text": "in region", + "bbox_points": [ + 72.0, + 432.9, + 104.12, + 440.91 + ], + "words": [ + { + "text": "in", + "bbox_points": [ + 72.0, + 432.9, + 79.07, + 440.91 + ] + }, + { + "text": "region", + "bbox_points": [ + 81.47, + 432.9, + 104.12, + 440.91 + ] + } + ] + }, + { + "text": "Volume handled in 131 1,100 275.5 11.8 33.6", + "bbox_points": [ + 64.01, + 446.85, + 521.23, + 454.86 + ], + "words": [ + { + "text": "Volume", + "bbox_points": [ + 64.01, + 446.85, + 92.27, + 454.86 + ] + }, + { + "text": "handled", + "bbox_points": [ + 94.62, + 446.85, + 123.75, + 454.86 + ] + }, + { + "text": "in", + "bbox_points": [ + 126.14, + 446.85, + 133.22, + 454.86 + ] + }, + { + "text": "131", + "bbox_points": [ + 162.26, + 446.85, + 175.51, + 454.86 + ] + }, + { + "text": "1,100", + "bbox_points": [ + 244.75, + 446.85, + 264.41, + 454.86 + ] + }, + { + "text": "275.5", + "bbox_points": [ + 326.89, + 446.85, + 346.56, + 454.86 + ] + }, + { + "text": "11.8", + "bbox_points": [ + 409.38, + 446.85, + 424.63, + 454.86 + ] + }, + { + "text": "33.6", + "bbox_points": [ + 505.99, + 446.85, + 521.23, + 454.86 + ] + } + ] + }, + { + "text": "ports (million tons)", + "bbox_points": [ + 72.0, + 457.39, + 141.28, + 465.41 + ], + "words": [ + { + "text": "ports", + "bbox_points": [ + 72.0, + 457.39, + 90.22, + 465.41 + ] + }, + { + "text": "(million", + "bbox_points": [ + 92.58, + 457.39, + 120.96, + 465.41 + ] + }, + { + "text": "tons)", + "bbox_points": [ + 123.31, + 457.39, + 141.28, + 465.41 + ] + } + ] + }, + { + "text": "Intensity of inland High High High Low Low", + "bbox_points": [ + 64.01, + 471.39, + 522.06, + 479.41 + ], + "words": [ + { + "text": "Intensity", + "bbox_points": [ + 64.01, + 471.39, + 95.39, + 479.41 + ] + }, + { + "text": "of", + "bbox_points": [ + 97.63, + 471.39, + 104.7, + 479.41 + ] + }, + { + "text": "inland", + "bbox_points": [ + 107.1, + 471.39, + 129.98, + 479.41 + ] + }, + { + "text": "High", + "bbox_points": [ + 162.26, + 471.39, + 180.33, + 479.41 + ] + }, + { + "text": "High", + "bbox_points": [ + 244.75, + 471.39, + 262.82, + 479.41 + ] + }, + { + "text": "High", + "bbox_points": [ + 326.89, + 471.39, + 344.96, + 479.41 + ] + }, + { + "text": "Low", + "bbox_points": [ + 409.38, + 471.39, + 425.46, + 479.41 + ] + }, + { + "text": "Low", + "bbox_points": [ + 505.98, + 471.39, + 522.06, + 479.41 + ] + } + ] + }, + { + "text": "navigation", + "bbox_points": [ + 72.0, + 481.88, + 109.41, + 489.9 + ], + "words": [ + { + "text": "navigation", + "bbox_points": [ + 72.0, + 481.88, + 109.41, + 489.9 + ] + } + ] + }, + { + "text": "The significance and High priority High priority High priority Low priority Low (for Cargo)", + "bbox_points": [ + 64.01, + 495.6, + 564.67, + 503.9 + ], + "words": [ + { + "text": "The", + "bbox_points": [ + 64.01, + 495.88, + 77.75, + 503.9 + ] + }, + { + "text": "significance", + "bbox_points": [ + 80.11, + 495.6, + 122.44, + 503.9 + ] + }, + { + "text": "and", + "bbox_points": [ + 124.78, + 495.88, + 138.26, + 503.9 + ] + }, + { + "text": "High", + "bbox_points": [ + 162.26, + 495.88, + 180.33, + 503.9 + ] + }, + { + "text": "priority", + "bbox_points": [ + 182.67, + 495.88, + 209.37, + 503.9 + ] + }, + { + "text": "High", + "bbox_points": [ + 244.75, + 495.88, + 262.82, + 503.9 + ] + }, + { + "text": "priority", + "bbox_points": [ + 265.15, + 495.88, + 291.86, + 503.9 + ] + }, + { + "text": "High", + "bbox_points": [ + 326.89, + 495.88, + 344.96, + 503.9 + ] + }, + { + "text": "priority", + "bbox_points": [ + 347.36, + 495.88, + 374.06, + 503.9 + ] + }, + { + "text": "Low", + "bbox_points": [ + 409.38, + 495.88, + 425.46, + 503.9 + ] + }, + { + "text": "priority", + "bbox_points": [ + 427.81, + 495.88, + 454.51, + 503.9 + ] + }, + { + "text": "Low", + "bbox_points": [ + 505.99, + 495.88, + 522.06, + 503.9 + ] + }, + { + "text": "(for", + "bbox_points": [ + 524.41, + 495.88, + 537.93, + 503.9 + ] + }, + { + "text": "Cargo)", + "bbox_points": [ + 540.28, + 495.88, + 564.67, + 503.9 + ] + } + ] + }, + { + "text": "priority of inland High (for", + "bbox_points": [ + 72.0, + 506.37, + 547.91, + 514.39 + ], + "words": [ + { + "text": "priority", + "bbox_points": [ + 72.0, + 506.37, + 98.71, + 514.39 + ] + }, + { + "text": "of", + "bbox_points": [ + 100.92, + 506.37, + 107.99, + 514.39 + ] + }, + { + "text": "inland", + "bbox_points": [ + 110.38, + 506.37, + 133.26, + 514.39 + ] + }, + { + "text": "High", + "bbox_points": [ + 513.98, + 506.37, + 532.05, + 514.39 + ] + }, + { + "text": "(for", + "bbox_points": [ + 534.44, + 506.37, + 547.91, + 514.39 + ] + } + ] + }, + { + "text": "navigation in the Tourist)", + "bbox_points": [ + 72.0, + 516.86, + 541.92, + 524.88 + ], + "words": [ + { + "text": "navigation", + "bbox_points": [ + 72.0, + 516.86, + 109.41, + 524.88 + ] + }, + { + "text": "in", + "bbox_points": [ + 111.8, + 516.86, + 118.87, + 524.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 121.27, + 516.86, + 132.59, + 524.88 + ] + }, + { + "text": "Tourist)", + "bbox_points": [ + 513.98, + 516.86, + 541.92, + 524.87 + ] + } + ] + }, + { + "text": "region", + "bbox_points": [ + 72.0, + 527.35, + 94.66, + 535.36 + ], + "words": [ + { + "text": "region", + "bbox_points": [ + 72.0, + 527.35, + 94.66, + 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"text": "(2011)", + "bbox_points": [ + 347.08, + 541.35, + 370.23, + 549.37 + ] + }, + { + "text": "14%", + "bbox_points": [ + 409.38, + 541.35, + 425.21, + 549.37 + ] + }, + { + "text": "(2010)", + "bbox_points": [ + 427.58, + 541.35, + 450.73, + 549.37 + ] + }, + { + "text": "1%", + "bbox_points": [ + 505.99, + 541.35, + 517.4, + 549.37 + ] + }, + { + "text": "(2019)", + "bbox_points": [ + 519.76, + 541.35, + 542.92, + 549.37 + ] + } + ] + }, + { + "text": "waterway transport", + "bbox_points": [ + 72.0, + 551.89, + 141.08, + 559.91 + ], + "words": [ + { + "text": "waterway", + "bbox_points": [ + 72.0, + 551.89, + 105.99, + 559.91 + ] + }, + { + "text": "transport", + "bbox_points": [ + 108.4, + 551.89, + 141.08, + 559.91 + ] + } + ] + }, + { + "text": "Smart inland navigation Pioneer of RIS RIS (PIANC) RIS (PIANC) Frist level of RIS Frist level of", + "bbox_points": [ + 64.01, + 565.84, + 550.42, + 573.86 + ], + "words": [ + { + "text": "Smart", + "bbox_points": [ + 64.01, + 565.84, 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e/figure_06.jpg b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..19542f1e0e925a8e0473e3acad4669d48b0f60c4 --- /dev/null +++ b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a705f4af508898bdb233f396b9489e8e54faed5f696a6e90e1825f0402f2d84e +size 136902 diff --git a/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_06.txt b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_06.txt new file mode 100644 index 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sha256:c8b4a291e9c1b5898e1eab17811f0f5ce88355106f6ce98a66e2cdaee9272e1c +size 163332 diff --git a/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_07.txt b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..26d678efaba479193741fc6b50a48c7542c6e9f7 --- /dev/null +++ b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_07.txt @@ -0,0 +1 @@ +The average annual benefit versus the violation of streamflow for the average result of 10 runs. The horizontal axis values for COM and MASS under different conditions (free access, quota, tax (a), and tax (b)) indicate the average annual benefit of the agents. MASS with tax (a) represents the average annual benefit of the agents plus the average annual tax revenue and tax (b) represents the average annual benefit of the agents. Each data point shows the average outcome derived from 10 distinct agent productivity parameter sets. The data points for MASS with quota and MASS with tax reflect various quota or tax values, resulting in multiple points for each model type. Lines connect these data points in ascending or descending order based on the quota or tax values. diff --git a/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_08.jpg b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1867561826b316b98a93b3fdf5a319c159e5e080 --- /dev/null +++ b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0a3f12630b70e5bcf92a2c7b30cdeb9b9b7e7978981cf58362c18b8bb887f258 +size 180478 diff --git a/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_08.txt b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa747a78b8fec5eaacfc97badd185f6071e606e3 --- /dev/null +++ b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_08.txt @@ -0,0 +1 @@ +The average annual benefit versus the violation of streamflow. The horizontal axis values for COM and MASS under different conditions (free access, quota, tax (a), and tax (b)) indicate the average annual benefit of the agents. MASS with tax (a) represents the average annual benefit of the agents plus the average annual tax revenue and tax (b) represents the average annual benefit of the agents. The data points for MASS with quota and MASS with tax reflect various quota or tax values, resulting in multiple points for each model type. Lines connect these data points in ascending or descending order based on the quota or tax values. Each model type was executed 10 times using 10 different agent productivity parameter sets. diff --git a/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_09.jpg b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f055e3dc3969995c8bd71996504f48ad479f3c18 --- /dev/null +++ b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ffc2c2c7c7effe4acf92225a275f5bd9ad6307cd2447ca4336de054cdcd3cbf3 +size 176492 diff --git a/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_09.txt b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..fede0f62b8ab8798c350c25400fa9ae66b0f0fcc --- /dev/null +++ b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_09.txt @@ -0,0 +1 @@ +The average annual benefit, the violation of streamflow, and the total basin-wide water use boxplots. diff --git a/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_10.jpg b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3f5af6000d4e4f340835338b5050bf2bf45cd65b --- /dev/null +++ b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3b38249ea3011907388b932e5a3789174973f1efb9d9f3dff2aacf47d7eed28c +size 57871 diff --git a/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_10.txt b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e387e09cde755f3592ff9c07e2c01f0eabedd82 --- /dev/null +++ b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/figure_10.txt @@ -0,0 +1 @@ +The average annual tax benefits versus MASS with tax boxplots. The yellow boxplots show the average annual benefit of MASS with Tax (a), the blue boxplots show the average annual benefit of MASS with Tax (b) and the red boxplots show the average annual tax benefits. The sum of the average annual tax benefits and the average annual benefit of MASS with Tax (b) equals the average annual benefit of MASS with Tax (a). diff --git a/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/graphic_abstract.jpg b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..dae2a6088cfd99ece15b8320dc75f4fce01c7052 --- /dev/null +++ b/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized optimal model for groundwater management considering e/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:16fa501103672787d069c9916b85d966d581047b53a7f846272644a13407c300 +size 181769 diff --git a/Figures/Kamali et al. - 2024 - Multi-agent system simulation and centralized 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high", + "bbox_points": [ + 206.64, + 198.54, + 516.87, + 206.84 + ], + "words": [ + { + "text": "filtration", + "bbox_points": [ + 206.64, + 198.54, + 237.48, + 206.84 + ] + }, + { + "text": "at", + "bbox_points": [ + 272.12, + 198.82, + 278.73, + 206.84 + ] + }, + { + "text": "removing", + "bbox_points": [ + 281.08, + 198.82, + 314.68, + 206.84 + ] + }, + { + "text": "color", + "bbox_points": [ + 317.08, + 198.82, + 335.72, + 206.84 + ] + }, + { + "text": "and", + "bbox_points": [ + 337.89, + 198.82, + 351.37, + 206.84 + ] + }, + { + "text": "a", + "bbox_points": [ + 353.76, + 198.82, + 357.92, + 206.84 + ] + }, + { + "text": "variety", + "bbox_points": [ + 360.17, + 198.82, + 384.55, + 206.84 + ] + }, + { + "text": "of", + "bbox_points": [ + 386.7, + 198.82, + 393.77, + 206.84 + ] + }, + { + "text": "membrane", + "bbox_points": [ + 411.59, + 198.82, + 449.83, + 206.84 + ] + }, + { + "text": "replacement;", + "bbox_points": [ + 452.18, + 198.82, + 498.69, + 206.84 + ] + }, + { + "text": "high", + "bbox_points": [ + 501.05, + 198.82, + 516.87, + 206.84 + ] + } + ] + }, + { + "text": "pollutants; provide high-quality energy requirements;", + "bbox_points": [ + 272.12, + 209.37, + 487.07, + 217.38 + ], + "words": [ + { + "text": "pollutants;", + "bbox_points": [ + 272.12, + 209.37, + 310.17, + 217.38 + ] + }, + { + "text": "provide", + "bbox_points": [ + 312.6, + 209.37, + 339.63, + 217.38 + ] + }, + { + "text": "high-quality", + "bbox_points": [ + 341.97, + 209.37, + 384.18, + 217.38 + ] + }, + { + "text": "energy", + "bbox_points": [ + 411.59, + 209.37, + 435.49, + 217.38 + ] + }, + { + "text": "requirements;", + "bbox_points": [ + 437.84, + 209.37, + 487.07, + 217.38 + ] + } + ] + }, + { + "text": "treated wastewater. pretreatment and high-pressure", + "bbox_points": [ + 272.12, + 219.85, + 523.36, + 227.87 + ], + "words": [ + { + "text": "treated", + "bbox_points": [ + 272.12, + 219.85, + 296.83, + 227.87 + ] + }, + { + "text": "wastewater.", + "bbox_points": [ + 299.22, + 219.85, + 340.95, + 227.87 + ] + }, + { + "text": "pretreatment", + "bbox_points": [ + 411.59, + 219.85, + 457.54, + 227.87 + ] + }, + { + "text": "and", + "bbox_points": [ + 459.89, + 219.85, + 473.37, + 227.87 + ] + }, + { + "text": "high-pressure", + "bbox_points": [ + 475.76, + 219.85, + 523.36, + 227.87 + ] + } + ] + }, + { + "text": "requirement.", + "bbox_points": [ + 411.59, + 230.34, + 457.17, + 238.36 + ], + "words": [ + { + "text": "requirement.", + "bbox_points": [ + 411.59, + 230.34, + 457.17, + 238.36 + ] + } + ] + }, + { + "text": "2. Chemical (a) Advanced Effective and efficient; rapid and Not viable due to the high cost;", + "bbox_points": [ + 144.4, + 240.55, + 517.18, + 248.85 + ], + "words": [ + { + "text": "2.", + "bbox_points": [ + 144.4, + 240.83, + 150.81, + 248.85 + ] + }, + { + "text": "Chemical", + "bbox_points": [ + 153.18, + 240.83, + 187.49, + 248.85 + ] + }, + { + "text": "(a)", + "bbox_points": [ + 198.65, + 240.83, + 208.3, + 248.85 + ] + }, + { + "text": "Advanced", + "bbox_points": [ + 210.67, + 240.83, + 246.88, + 248.85 + ] + }, + { + "text": "Effective", + "bbox_points": [ + 264.13, + 240.83, + 295.46, + 248.84 + ] + }, + { + "text": "and", + "bbox_points": [ + 297.86, + 240.83, + 311.34, + 248.84 + ] + }, + { + "text": "efficient;", + "bbox_points": [ + 313.74, + 240.55, + 344.88, + 248.84 + ] + }, + { + "text": "rapid", + "bbox_points": [ + 347.24, + 240.83, + 365.89, + 248.84 + ] + }, + { + "text": "and", + "bbox_points": [ + 368.28, + 240.83, + 381.75, + 248.84 + ] + }, + { + "text": "Not", + "bbox_points": [ + 403.59, + 240.83, + 417.49, + 248.84 + ] + }, + { + "text": "viable", + "bbox_points": [ + 419.86, + 240.83, + 441.26, + 248.84 + ] + }, + { + "text": "due", + "bbox_points": [ + 443.62, + 240.83, + 456.77, + 248.84 + ] + }, + { + "text": "to", + "bbox_points": [ + 459.15, + 240.83, + 466.31, + 248.84 + ] + }, + { + "text": "the", + "bbox_points": [ + 468.68, + 240.83, + 480.0, + 248.84 + ] + }, + { + "text": "high", + "bbox_points": [ + 482.34, + 240.83, + 498.16, + 248.84 + ] + }, + { + "text": "cost;", + "bbox_points": [ + 500.54, + 240.83, + 517.18, + 248.84 + ] + } + ] + }, + { + "text": "methods oxidation different hazardous and forms undesired byproducts;", + "bbox_points": [ + 152.39, + 251.32, + 513.86, + 259.33 + ], + "words": [ + { + "text": "methods", + "bbox_points": [ + 152.39, + 251.32, + 183.19, + 259.33 + ] + }, + { + "text": "oxidation", + "bbox_points": [ + 206.64, + 251.32, + 240.48, + 259.33 + ] + }, + { + "text": "different", + "bbox_points": [ + 272.12, + 251.32, + 302.32, + 259.33 + ] + }, + { + "text": "hazardous", + "bbox_points": [ + 304.67, + 251.32, + 341.94, + 259.33 + ] + }, + { + "text": "and", + "bbox_points": [ + 344.29, + 251.32, + 357.77, + 259.33 + ] + }, + { + "text": "forms", + "bbox_points": [ + 411.59, + 251.32, + 432.15, + 259.33 + ] + }, + { + "text": "undesired", + "bbox_points": [ + 434.49, + 251.32, + 469.6, + 259.33 + ] + }, + { + "text": "byproducts;", + "bbox_points": [ + 471.96, + 251.32, + 513.86, + 259.33 + ] + } + ] + }, + { + "text": "processes refractory contaminants quickly pH dependent.", + "bbox_points": [ + 206.64, + 261.86, + 465.23, + 269.88 + ], + "words": [ + { + "text": "processes", + "bbox_points": [ + 206.64, + 261.86, + 240.74, + 269.88 + ] + }, + { + "text": "refractory", + "bbox_points": [ + 272.12, + 261.86, + 306.88, + 269.88 + ] + }, + { + "text": "contaminants", + "bbox_points": [ + 309.26, + 261.86, + 358.12, + 269.88 + ] + }, + { + "text": "quickly", + "bbox_points": [ + 360.51, + 261.86, + 386.73, + 269.88 + ] + }, + { + "text": "pH", + "bbox_points": [ + 411.59, + 261.86, + 423.16, + 269.88 + ] + }, + { + "text": "dependent.", + "bbox_points": [ + 425.53, + 261.86, + 465.23, + 269.88 + ] + } + ] + }, + { + "text": "decolorized; highest degradation", + "bbox_points": [ + 272.12, + 272.35, + 389.24, + 280.36 + ], + "words": [ + { + "text": "decolorized;", + "bbox_points": [ + 272.12, + 272.35, + 316.57, + 280.36 + ] + }, + { + "text": "highest", + "bbox_points": [ + 318.89, + 272.35, + 344.37, + 280.36 + ] + }, + { + "text": "degradation", + "bbox_points": [ + 346.79, + 272.35, + 389.24, + 280.36 + ] + } + ] + }, + { + "text": "efficiency.", + "bbox_points": [ + 272.12, + 282.56, + 308.2, + 290.85 + ], + "words": [ + { + "text": "efficiency.", + "bbox_points": [ + 272.12, + 282.56, + 308.2, + 290.85 + ] + } + ] + }, + { + "text": "(b) Coagulation Simple and efficient. Inorganic coagulants are toxic", + "bbox_points": [ + 198.65, + 293.04, + 512.74, + 301.34 + ], + "words": [ + { + "text": "(b)", + "bbox_points": [ + 198.65, + 293.32, + 208.55, + 301.34 + ] + }, + { + "text": "Coagulation", + "bbox_points": [ + 210.95, + 293.32, + 254.32, + 301.34 + ] + }, + { + "text": "Simple", + "bbox_points": [ + 264.13, + 293.32, + 289.11, + 301.34 + ] + }, + { + "text": "and", + "bbox_points": [ + 291.46, + 293.32, + 304.94, + 301.34 + ] + }, + { + "text": "efficient.", + "bbox_points": [ + 307.33, + 293.04, + 338.15, + 301.34 + ] + }, + { + "text": "Inorganic", + "bbox_points": [ + 403.59, + 293.32, + 438.38, + 301.34 + ] + }, + { + "text": "coagulants", + "bbox_points": [ + 440.78, + 293.32, + 479.15, + 301.34 + ] + }, + { + "text": "are", + "bbox_points": [ + 481.55, + 293.32, + 492.69, + 301.34 + ] + }, + { + "text": "toxic", + "bbox_points": [ + 495.1, + 293.32, + 512.74, + 301.34 + ] + } + ] + }, + { + "text": "and pose health hazards;", + "bbox_points": [ + 411.59, + 303.81, + 501.63, + 311.83 + ], + "words": [ + { + "text": "and", + "bbox_points": [ + 411.59, + 303.81, + 425.07, + 311.83 + ] + }, + { + "text": "pose", + "bbox_points": [ + 427.46, + 303.81, + 443.94, + 311.83 + ] + }, + { + "text": "health", + "bbox_points": [ + 446.28, + 303.81, + 468.84, + 311.83 + ] + }, + { + "text": "hazards;", + "bbox_points": [ + 471.17, + 303.81, + 501.63, + 311.83 + ] + } + ] + }, + { + "text": "produce a lot of harmful", + "bbox_points": [ + 411.59, + 314.36, + 499.58, + 322.37 + ], + "words": [ + { + "text": "produce", + "bbox_points": [ + 411.59, + 314.36, + 440.85, + 322.37 + ] + }, + { + "text": "a", + "bbox_points": [ + 443.22, + 314.36, + 447.38, + 322.37 + ] + }, + { + "text": "lot", + "bbox_points": [ + 449.8, + 314.36, + 459.28, + 322.37 + ] + }, + { + "text": "of", + "bbox_points": [ + 461.65, + 314.36, + 468.72, + 322.37 + ] + }, + { + "text": "harmful", + "bbox_points": [ + 471.11, + 314.36, + 499.58, + 322.37 + ] + } + ] + }, + { + "text": "sludge; inadequate removal of", + "bbox_points": [ + 411.59, + 324.85, + 519.23, + 332.86 + ], + "words": [ + { + "text": "sludge;", + "bbox_points": [ + 411.59, + 324.85, + 436.72, + 332.86 + ] + }, + { + "text": "inadequate", + "bbox_points": [ + 439.08, + 324.85, + 478.37, + 332.86 + ] + }, + { + "text": "removal", + "bbox_points": [ + 480.75, + 324.85, + 509.77, + 332.86 + ] + }, + { + "text": "of", + "bbox_points": [ + 512.16, + 324.85, + 519.23, + 332.86 + ] + } + ] + }, + { + "text": "developing pollutants and", + "bbox_points": [ + 411.59, + 335.33, + 504.61, + 343.35 + ], + "words": [ + { + "text": "developing", + "bbox_points": [ + 411.59, + 335.33, + 450.67, + 343.35 + ] + }, + { + "text": "pollutants", + "bbox_points": [ + 453.03, + 335.33, + 488.73, + 343.35 + ] + }, + { + "text": "and", + "bbox_points": [ + 491.13, + 335.33, + 504.61, + 343.35 + ] + } + ] + }, + { + "text": "heavy metals.", + "bbox_points": [ + 411.59, + 345.82, + 460.22, + 353.84 + ], + "words": [ + { + "text": "heavy", + "bbox_points": [ + 411.59, + 345.82, + 432.45, + 353.84 + ] + }, + { + "text": "metals.", + "bbox_points": [ + 434.83, + 345.82, + 460.22, + 353.84 + ] + } + ] + }, + { + "text": "3. 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Kishor et al. 2021; Castro et al. 2022) diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_01.jpg b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6867a8f675e2c29c3077622a410d2eac685650ca --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:86131bb4cae022fc4a96559ab61ace571bc996ff558caa16e77cb0169f586d64 +size 55949 diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_01.txt b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd69c0fed55f63aa1060b0f65de6b2d1cfb87dd4 --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_01.txt @@ -0,0 +1 @@ +Sewage treatment process flow of the Tonan sewage treatment plant. diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_02.jpg b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..612ea842c6b0aa361176ab7122a0c225c0d60ee0 --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3bac9fb83187a99087de18cd52215fa1f61bffe63f0ae5b0d9d9c03870494e5a +size 183917 diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_02.txt b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d5853fe9cc12b8db9ab99f9e9f07e227047a7cd --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_02.txt @@ -0,0 +1 @@ +Time course of dissolved element concentrations and oxidation-reduction potential (ORP) during the anaerobic cultivation of surplus activated sludge (SAS) and mixed sludge in (a) summer and (b) winter. Legends show the amounts of thickened primary sludge (TPS) added to the storage tank. diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_03.jpg b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3797ee69b56d61a552ca58c1628e5c4355ad3b28 --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:556453525629c85734884135a8ae3fea7ea74d872ed14f7cb62f537f09a268f6 +size 79186 diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_03.txt b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..a12ce999abf5451f73729f48c9643224b330df0e --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_03.txt @@ -0,0 +1 @@ +Relationship between the release efficiency (RE) of elements (P, K, and Mg) and oxidation-reduction potential (ORP). diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_04.jpg b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..465b5d64c1376900e27877473b38c4a5ae60e4d9 --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:93e25fce2cee25a0aa2cfa3da145b59a763fb4e88e48ba478647e63799d9966b +size 37168 diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_04.txt b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea345beae266130ad882cba53dfa3b5a98ebfd15 --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_04.txt @@ -0,0 +1 @@ +3D scatter plots: release efficiency (RE) of P, amount of thickened primary sludge (TPS), and oxidation-reduction potential (ORP). diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_05.jpg b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..014e7f9209815ee6f7b1eb3a38d50406fb39b49b --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:44a85901db910b3ea1f782a3dc878ae170f1cfd994e8ddbfdce4d9c7f20fc4d4 +size 134508 diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_05.txt b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc6d8fade02cde3fc22b7bd3d933eddb6ca67ab5 --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_05.txt @@ -0,0 +1 @@ +Change in concentrations of P, K, Mg, and total solid (TS) in separate liquid (SL), before and after anaerobic cultivation. TPS indicates thickened primary sludge. diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_06.jpg b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..83651625ce713594a5a46e033bcb0b09df7f21ee --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f94fa131d3da132bd13f3135c1208b09612451c174de948bbfdce8bb7dd455be +size 182543 diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_06.txt b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..0cc921e2324693c2f1e4d9ffcf7ef56dcbf6bdb3 --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_06.txt @@ -0,0 +1 @@ +Relationship between concentration of total solid (TS) in surplus activated sludge (SAS) before cultivation and concentrations of (a) P, (b) K, and (c) Mg in SAS or separate liquid (SL) after cultivation. diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_07.jpg b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..84e66c97fe8c1d0a32919f7cdfad42902bd6f10c --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:476905ed04e2d55a01bf7c45205d5fac5e0df52f991ce54cf1f59c8d5621e3d9 +size 60634 diff --git a/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_07.txt b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d5080c18b0e6ca5617cb7d084d6e65133afc717 --- /dev/null +++ b/Figures/Kamiyama et al. - 2024 - Recovery of phosphorus, magnesium, and potassium from surplus activated sludge using existing sludge/figure_07.txt @@ -0,0 +1 @@ +Dissolved element (P, Mg, K, Ca) concentrations in the separate liquid (SL) filtrate before (original state) and after adjustment of pH and addition of CaCl2 solution. 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The data points represent weekly average values and the data are represented for a period when the reactor started to stabilize, and feeding was done once a day.", + "image": "figure_03.jpg", + "caption_file": "figure_03.txt", + "figure_bbox_points": [ + 69.0, + 292.94, + 561.08, + 692.27 + ], + "caption_bbox_points": [ + 64.01, + 690.41, + 566.09, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 63061, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_04", + "page": 9, + "caption": "Carbon, macronutrients, and selected micronutrients in feedstock, digestate, and liquid (LF) and solid (SF) fractions of the digestate from a pilot-scale anaerobic co-diges-", + "image": "table_04.jpg", + "caption_file": "table_04.txt", + "figure_bbox_points": [ + 46.94, + 52.0, + 735.42, + 72.99 + ], + "caption_bbox_points": [ + 208.91, + 76.99, + 217.08, + 720.28 + ], + "crop_method": "fallback_band", + "position_relative_to_caption": "above", + "image_size_bytes": 1597, + "jpeg_quality": 88, + "data_file": "table_04.json", + "structure_extracted": false, + "row_count": 0, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_04", + "page": 11, + "caption": "Growth of (a) C. vulgaris and (b) S. acuminatus on the liquid fraction of digestate derived from anaerobic co-digestion of BW and FW and its various dilutions with tap water.", + "image": "figure_04.jpg", + "caption_file": "figure_04.txt", + "figure_bbox_points": [ + 78.47, + 77.28, + 510.67, + 260.61 + ], + "caption_bbox_points": [ + 43.43, + 262.09, + 545.46, + 280.3 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 77468, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of file diff --git a/Figures/Kamravamanesh and Kokko - 2024 - Source separation and anaerobic co-digestion of blackwater and food waste for biogas production and/table_01.jpg b/Figures/Kamravamanesh and Kokko - 2024 - Source separation and anaerobic co-digestion of blackwater and food waste for biogas production and/table_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1bba6f3ab5f8e478ee0a951d45a8bc1b8b920d9b --- /dev/null +++ b/Figures/Kamravamanesh and Kokko - 2024 - Source separation and anaerobic co-digestion of blackwater and food waste for biogas production and/table_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a74a829080f4faf2d8989bd4fb5cfded19261097739e143d637577cbbab953d1 +size 22717 diff --git a/Figures/Kamravamanesh and Kokko - 2024 - Source separation and anaerobic co-digestion of blackwater and food waste for biogas production and/table_01.json b/Figures/Kamravamanesh and Kokko - 2024 - Source separation and anaerobic co-digestion of blackwater and food waste for biogas production and/table_01.json new file mode 100644 index 0000000000000000000000000000000000000000..24988465eeaa921f3ac00f0eff01413383ed0dc1 --- /dev/null +++ b/Figures/Kamravamanesh and Kokko - 2024 - Source separation and anaerobic co-digestion of blackwater and food waste for biogas production and/table_01.json @@ -0,0 +1,534 @@ +{ + "kind": "table", + "label": "table_01", + "number": 1, + "caption": "The characteristics of inoculum and substrates used for the BMP batch assays", + "page": 4, + "table_bbox_points": [ + 61.01, + 422.31, + 569.02, + 498.15 + ], + "caption_bbox_points": [ + 64.01, + 414.09, + 386.48, + 422.31 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 5, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "TS (%) VS (%) COD (g/L) CODs (g/L)", + "bbox_points": [ + 184.2, + 436.88, + 565.43, + 442.88 + ], + "words": [ + { + "text": "TS", + "bbox_points": [ + 184.2, + 436.88, + 191.5, + 442.88 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 193.49, + 436.88, + 202.67, + 442.88 + ] + }, + { + "text": "VS", + "bbox_points": [ + 302.4, + 436.88, + 310.45, + 442.88 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 312.49, + 436.88, + 321.66, + 442.88 + ] + }, + { + "text": "COD", + "bbox_points": [ + 420.6, + 436.88, + 433.91, + 442.88 + ] + }, + { + "text": "(g/L)", + "bbox_points": [ + 435.85, + 436.88, + 449.5, + 442.88 + ] + }, + { + "text": "CODs", + "bbox_points": [ + 533.25, + 436.88, + 549.87, + 442.88 + ] + }, + { + "text": "(g/L)", + "bbox_points": [ + 551.79, + 436.88, + 565.43, + 442.88 + ] + } + ] + }, + { + "text": "Inoculum 3.3 + 0.0 1.8 + 0.0 N.D. 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phase removal of hexavalent chr/figure_01.txt @@ -0,0 +1 @@ +pHzpc analysis of the adsorbent. diff --git a/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_02.jpg b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0c2161b6078a59cfdce92116c60a4dcccd6e1367 --- /dev/null +++ b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2faf8a90053935d18ad0c544038f3e6d091979eba038e74733836b3519a9a462 +size 43186 diff --git a/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_02.txt 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b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_06.txt @@ -0,0 +1 @@ +Removal of Cr(VI) as a function of pH (a) and FeJa@BT dosage (b). diff --git a/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_07.jpg b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5428e83469fda7d03485c4ed9f3ad59bd47c3b3b --- /dev/null +++ b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:077280d4f64bb86e87c3ad6efe7967540de5c0096dcb3de6f9a97abe329fee94 +size 52149 diff --git a/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_07.txt b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e874f1f409e7175d717529ba248ed5d4dfc9f4d --- /dev/null +++ b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_07.txt @@ -0,0 +1 @@ +Variation in Cr(VI) removal as a function of temperature (a) and initial concentration (b). diff --git a/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_08.jpg b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ebb074acae368981d4595f09d75962c678d17b13 --- /dev/null +++ b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f52e2f5a6120f01e5dffbd323343813d669569fea774c6d03b9cf1e716aad38 +size 45917 diff --git a/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_08.txt b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..23c2d715dac01c8724512cc2cb3abad9c4dc56e0 --- /dev/null +++ b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_08.txt @@ -0,0 +1 @@ +Pseudo-first-order (a) and pseudo-second plot (b) for the sorption of Cr(VI). diff --git a/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_09.jpg b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1306f418ff0825b2aea154388cb2e1c09731285e --- /dev/null +++ b/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous phase removal of hexavalent chr/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2b165f0147ecbed07be5781413b7983cf8493ce22d7bf8ca11adf7f1e3dc8d2c +size 23622 diff --git a/Figures/Kannaujiya et al. - 2024 - Preparation of low-cost biochar from discarded tea waste for aqueous 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48.33 35.04 12.96 9.05 7.71 16.80 57.96 70.83", + "bbox_points": [ + 70.87, + 282.84, + 520.03, + 290.86 + ], + "words": [ + { + "text": "2013", + "bbox_points": [ + 70.87, + 282.84, + 88.53, + 290.86 + ] + }, + { + "text": "113.79", + "bbox_points": [ + 103.75, + 282.84, + 127.83, + 290.86 + ] + }, + { + "text": "128.05", + "bbox_points": [ + 142.98, + 282.84, + 167.06, + 290.86 + ] + }, + { + "text": "103.49", + "bbox_points": [ + 182.27, + 282.84, + 206.35, + 290.86 + ] + }, + { + "text": "49.26", + "bbox_points": [ + 221.5, + 282.84, + 241.16, + 290.86 + ] + }, + { + "text": "48.33", + "bbox_points": [ + 256.37, + 282.84, + 276.03, + 290.86 + ] + }, + { + "text": "35.04", + "bbox_points": [ + 291.23, + 282.84, + 310.9, + 290.86 + ] + }, + { + "text": "12.96", + "bbox_points": [ + 326.1, + 282.84, + 345.76, + 290.86 + ] + }, + { + "text": "9.05", + "bbox_points": [ + 360.96, + 282.84, + 376.21, + 290.86 + ] + }, + { + "text": "7.71", + "bbox_points": [ + 395.83, + 282.84, + 411.08, 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b/Figures/Kant and Meena - 2024 - Projection of future rainfall events over the Beas River basin, Western Himalaya, using shared socio/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..b97b6ff633b04e6d7ae0d79ad4bbdc3257f47440 --- /dev/null +++ b/Figures/Kant and Meena - 2024 - Projection of future rainfall events over the Beas River basin, Western Himalaya, using shared socio/table_03.txt @@ -0,0 +1 @@ +Trends test results (5% significance level) diff --git "a/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_01.jpg" "b/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..05d32becfbd427d5ee1de4904b81cdb92034a102 --- /dev/null +++ "b/Figures/Kantharia et al. - 2024 - 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al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_02.jpg" "b/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..e71d04ba91a86be6d23e50a6b41e3003ddd05279 --- /dev/null +++ "b/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ba5f42622ed5e6c7ab710162e673cc6c004d06d34d7ca68235b80961641253a4 +size 33599 diff --git "a/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_02.txt" "b/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using 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al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_04.jpg" "b/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..a37a96a681c0f71b732220e22abe61268942e218 --- /dev/null +++ "b/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c77b01a762cbf0c57638be13cbb2e3c054a084f96c29b2947ce27b6e09dba513 +size 42502 diff --git "a/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_04.txt" "b/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using 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Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:68083da3aa53820967c51e4c5da20f42e4adbab09443dd26d02614fa813b26ff +size 39984 diff --git "a/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_05.txt" "b/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..b44bdb031edd4fe44fa0d49d08d85c604543f046 --- /dev/null +++ "b/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_05.txt" @@ -0,0 +1 @@ +Comparison of observed and simulated discharges for the ANFIS model at bedrock (Pingalwada Station). diff --git "a/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_06.jpg" "b/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..15bf7f48fb0cde0abf6bbb29f80e64e437a19ca4 --- /dev/null +++ "b/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7dc362850c7435207e3f8933e2d596dbbe5a1bce62a138f1052a52fd9cfedb10 +size 32358 diff --git "a/Figures/Kantharia et al. - 2024 - Rainfall\342\200\223runoff modeling using an Adaptive Neuro-Fuzzy Inference System considering soil moisture fo/figure_06.txt" "b/Figures/Kantharia et 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"Calcium", + "bbox_points": [ + 37.02, + 371.23, + 67.16, + 379.24 + ] + }, + { + "text": "as", + "bbox_points": [ + 69.45, + 371.23, + 76.94, + 379.24 + ] + }, + { + "text": "CA", + "bbox_points": [ + 79.37, + 371.23, + 90.93, + 379.24 + ] + }, + { + "text": "IS", + "bbox_points": [ + 146.21, + 371.23, + 154.12, + 379.24 + ] + }, + { + "text": "3025", + "bbox_points": [ + 156.47, + 371.23, + 174.14, + 379.24 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 176.49, + 371.23, + 193.92, + 379.24 + ] + }, + { + "text": "40):1991", + "bbox_points": [ + 196.33, + 371.23, + 227.9, + 379.24 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 248.77, + 371.23, + 268.67, + 379.24 + ] + }, + { + "text": "104", + "bbox_points": [ + 287.26, + 371.23, + 300.51, + 379.24 + ] + }, + { + "text": "Max", + "bbox_points": [ + 325.48, + 371.23, + 341.54, + 379.24 + ] + }, + { + "text": "75", + "bbox_points": [ + 343.9, + 371.23, + 352.73, + 379.24 + ] + }, + { + "text": "29", + "bbox_points": [ + 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}, + { + "text": "Max", + "bbox_points": [ + 325.48, + 385.23, + 341.54, + 393.25 + ] + }, + { + "text": "250", + "bbox_points": [ + 343.9, + 385.23, + 357.15, + 393.25 + ] + }, + { + "text": "879", + "bbox_points": [ + 417.15, + 385.23, + 430.4, + 393.25 + ] + } + ] + }, + { + "text": "Magnesium as Mg IS 3025 (Part 46):1994 mg/L 186 Max 30 156", + "bbox_points": [ + 37.02, + 399.23, + 430.4, + 407.25 + ], + "words": [ + { + "text": "Magnesium", + "bbox_points": [ + 37.02, + 399.23, + 78.8, + 407.25 + ] + }, + { + "text": "as", + "bbox_points": [ + 81.19, + 399.23, + 88.67, + 407.25 + ] + }, + { + "text": "Mg", + "bbox_points": [ + 91.05, + 399.23, + 102.8, + 407.25 + ] + }, + { + "text": "IS", + "bbox_points": [ + 146.21, + 399.23, + 154.12, + 407.25 + ] + }, + { + "text": "3025", + "bbox_points": [ + 156.47, + 399.23, + 174.14, + 407.25 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 176.49, + 399.23, + 193.92, + 407.25 + ] + }, + { + "text": "46):1994", + "bbox_points": [ + 196.33, + 399.23, + 227.9, + 407.25 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 248.77, + 399.23, + 268.67, + 407.25 + ] + }, + { + "text": "186", + "bbox_points": [ + 287.27, + 399.23, + 300.51, + 407.25 + ] + }, + { + "text": "Max", + "bbox_points": [ + 325.48, + 399.23, + 341.54, + 407.25 + ] + }, + { + "text": "30", + "bbox_points": [ + 343.9, + 399.23, + 352.73, + 407.25 + ] + }, + { + "text": "156", + "bbox_points": [ + 417.15, + 399.23, + 430.4, + 407.25 + ] + } + ] + }, + { + "text": "Iron as Fe IS 3025 (Part 53):2003 mg/L 1.51 Max 1 0.51", + "bbox_points": [ + 37.02, + 413.24, + 426.27, + 421.25 + ], + "words": [ + { + "text": "Iron", + "bbox_points": [ + 37.02, + 413.24, + 52.47, + 421.25 + ] + }, + { + "text": "as", + "bbox_points": [ + 54.88, + 413.24, + 62.37, + 421.25 + ] + }, + { + "text": "Fe", + "bbox_points": [ + 64.75, + 413.24, + 73.28, + 421.25 + ] + }, + { + "text": "IS", + "bbox_points": [ + 146.21, + 413.24, + 154.12, + 421.25 + ] + }, + { + "text": "3025", + "bbox_points": [ + 156.48, + 413.24, + 174.14, + 421.25 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 176.49, + 413.24, + 193.92, + 421.25 + ] + }, + { + "text": "53):2003", + "bbox_points": [ + 196.33, + 413.24, + 227.9, + 421.25 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 248.77, + 413.24, + 268.67, + 421.25 + ] + }, + { + "text": "1.51", + "bbox_points": [ + 287.27, + 413.24, + 302.51, + 421.25 + ] + }, + { + "text": "Max", + "bbox_points": [ + 325.48, + 413.24, + 341.54, + 421.25 + ] + }, + { + "text": "1", + "bbox_points": [ + 343.9, + 413.24, + 348.32, + 421.25 + ] + }, + { + "text": "0.51", + "bbox_points": [ + 411.03, + 413.24, + 426.27, + 421.25 + ] + } + ] + }, + { + "text": "Sulphate as SO4 IS 3025 (Part 24):1986 mg/L 628 Max 200 4,226", + "bbox_points": [ + 37.02, + 427.18, + 436.81, + 435.93 + ], + "words": [ + { + "text": "Sulphate", + "bbox_points": [ + 37.02, + 427.18, + 68.49, + 435.2 + ] + }, + { + "text": "as", + "bbox_points": [ + 70.87, + 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3025 (Part 4):1983 Hazen 1 Max 5", + "bbox_points": [ + 37.02, + 123.82, + 416.57, + 131.84 + ], + "words": [ + { + "text": "Colour", + "bbox_points": [ + 37.02, + 123.82, + 61.79, + 131.84 + ] + }, + { + "text": "IS", + "bbox_points": [ + 140.54, + 123.82, + 148.45, + 131.84 + ] + }, + { + "text": "3025", + "bbox_points": [ + 150.86, + 123.82, + 168.52, + 131.84 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 170.87, + 123.82, + 188.31, + 131.84 + ] + }, + { + "text": "4):1983", + "bbox_points": [ + 190.71, + 123.82, + 217.87, + 131.84 + ] + }, + { + "text": "Hazen", + "bbox_points": [ + 281.03, + 123.82, + 304.93, + 131.84 + ] + }, + { + "text": "1", + "bbox_points": [ + 317.82, + 123.82, + 322.24, + 131.84 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 123.82, + 409.8, + 131.84 + ] + }, + { + "text": "5", + "bbox_points": [ + 412.16, + 123.82, + 416.57, + 131.84 + ] + } + ] + }, + { + "text": "Odour IS 3025 (Part 4):2018 mg/L Agreeable Agreeable", + "bbox_points": 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"mg/L", + "bbox_points": [ + 281.03, + 193.84, + 300.93, + 201.85 + ] + }, + { + "text": "BDL(LOD-0.001", + "bbox_points": [ + 317.82, + 193.84, + 378.06, + 201.85 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 193.84, + 409.8, + 201.85 + ] + }, + { + "text": "0.01", + "bbox_points": [ + 412.16, + 193.84, + 427.41, + 201.85 + ] + } + ] + }, + { + "text": "Manganese as Mn IS 3025 Part 59:2006 mg/L BDL(LOD-0.016) Max 0.1", + "bbox_points": [ + 37.02, + 207.84, + 422.99, + 215.85 + ], + "words": [ + { + "text": "Manganese", + "bbox_points": [ + 37.02, + 207.84, + 77.81, + 215.85 + ] + }, + { + "text": "as", + "bbox_points": [ + 80.16, + 207.84, + 87.65, + 215.85 + ] + }, + { + "text": "Mn", + "bbox_points": [ + 90.09, + 207.84, + 102.57, + 215.85 + ] + }, + { + "text": "IS", + "bbox_points": [ + 140.54, + 207.84, + 148.45, + 215.85 + ] + }, + { + "text": "3025", + "bbox_points": [ + 150.86, + 207.84, + 168.52, + 215.85 + ] + }, + { + "text": "Part", + "bbox_points": [ + 170.87, + 207.84, + 185.59, + 215.85 + ] + }, + { + "text": "59:2006", + "bbox_points": [ + 187.99, + 207.84, + 216.82, + 215.85 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 281.03, + 207.84, + 300.93, + 215.85 + ] + }, + { + "text": "BDL(LOD-0.016)", + "bbox_points": [ + 317.82, + 207.84, + 380.8, + 215.85 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 207.84, + 409.8, + 215.85 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 412.16, + 207.84, + 422.99, + 215.85 + ] + } + ] + }, + { + "text": "Nitrate as NO3 APHA 23 Edition 4500-F-B D:2017 mg/L 3.94 Max 45.0", + "bbox_points": [ + 37.02, + 221.84, + 427.41, + 230.53 + ], + "words": [ + { + "text": "Nitrate", + "bbox_points": [ + 37.02, + 221.84, + 62.19, + 229.86 + ] + }, + { + "text": "as", + "bbox_points": [ + 64.57, + 221.84, + 72.06, + 229.86 + ] + }, + { + "text": "NO3", + "bbox_points": [ + 74.44, + 221.84, + 91.24, + 230.53 + ] + }, + { + "text": "APHA", + "bbox_points": [ + 140.54, + 221.84, + 164.54, + 229.86 + ] + }, + { + "text": "23", + "bbox_points": [ + 166.9, + 221.84, + 175.74, + 229.86 + ] + }, + { + "text": "Edition", + "bbox_points": [ + 178.07, + 221.84, + 204.7, + 229.86 + ] + }, + { + "text": "4500-F-B", + "bbox_points": [ + 207.1, + 221.84, + 239.13, + 229.86 + ] + }, + { + "text": "D:2017", + "bbox_points": [ + 241.57, + 221.84, + 268.14, + 229.86 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 281.03, + 221.84, + 300.93, + 229.86 + ] + }, + { + "text": "3.94", + "bbox_points": [ + 317.82, + 221.84, + 333.07, + 229.86 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 221.84, + 409.8, + 229.86 + ] + }, + { + "text": "45.0", + "bbox_points": [ + 412.16, + 221.84, + 427.41, + 229.86 + ] + } + ] + }, + { + "text": "Turbidity IS 3025 (Part 10):1984 NTU 0.6 Max 1", + "bbox_points": [ + 37.02, + 235.85, + 416.57, + 243.86 + ], + "words": [ + { + "text": "Turbidity", + "bbox_points": [ + 37.02, + 235.85, + 69.8, + 243.86 + ] + }, + { + "text": "IS", + "bbox_points": [ + 140.54, + 235.85, + 148.45, + 243.86 + ] + }, + { + "text": "3025", + "bbox_points": [ + 150.86, + 235.85, + 168.52, + 243.86 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 170.87, + 235.85, + 188.31, + 243.86 + ] + }, + { + "text": "10):1984", + "bbox_points": [ + 190.71, + 235.85, + 222.28, + 243.86 + ] + }, + { + "text": "NTU", + "bbox_points": [ + 281.03, + 235.85, + 299.1, + 243.86 + ] + }, + { + "text": "0.6", + "bbox_points": [ + 317.82, + 235.85, + 328.65, + 243.86 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 235.85, + 409.8, + 243.86 + ] + }, + { + "text": "1", + "bbox_points": [ + 412.16, + 235.85, + 416.57, + 243.86 + ] + } + ] + }, + { + "text": "Total hardness as CaCO3 IS 3025 (Part 21):2009 mg/L 106 Max 200", + "bbox_points": [ + 37.02, + 249.85, + 425.41, + 258.54 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 37.02, + 249.85, + 55.48, + 257.86 + ] + }, + { + "text": "hardness", + "bbox_points": [ + 57.83, + 249.85, + 89.87, + 257.86 + ] + }, + { + "text": "as", + "bbox_points": [ + 92.24, + 249.85, + 99.73, + 257.86 + ] + }, + { + "text": "CaCO3", + "bbox_points": [ + 102.1, + 249.85, + 127.58, + 258.54 + ] + }, + { + "text": "IS", + "bbox_points": [ + 140.54, + 249.85, + 148.45, + 257.86 + ] + }, + { + "text": "3025", + "bbox_points": [ + 150.86, + 249.85, + 168.52, + 257.86 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 170.87, + 249.85, + 188.31, + 257.86 + ] + }, + { + "text": "21):2009", + "bbox_points": [ + 190.71, + 249.85, + 222.28, + 257.86 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 281.03, + 249.85, + 300.93, + 257.86 + ] + }, + { + "text": "106", + "bbox_points": [ + 317.82, + 249.85, + 331.07, + 257.86 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 249.85, + 409.8, + 257.86 + ] + }, + { + "text": "200", + "bbox_points": [ + 412.16, + 249.85, + 425.41, + 257.86 + ] + } + ] + }, + { + "text": "Total dissolved solids Is 3025 (Part 16):1984 mg/L 442 Max 500", + "bbox_points": [ + 37.02, + 263.85, + 425.41, + 271.87 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 37.02, + 263.85, + 55.48, + 271.87 + ] + }, + { + "text": "dissolved", + "bbox_points": [ + 57.83, + 263.85, + 90.84, + 271.87 + ] + }, + { + "text": "solids", + "bbox_points": [ + 93.2, + 263.85, + 113.67, + 271.87 + ] + }, + { + "text": "Is", + "bbox_points": [ + 140.54, + 263.85, + 147.03, + 271.87 + ] + }, + { + "text": "3025", + "bbox_points": [ + 149.44, + 263.85, + 167.11, + 271.87 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 169.45, + 263.85, + 186.89, + 271.87 + ] + }, + { + "text": "16):1984", + "bbox_points": [ + 189.3, + 263.85, + 220.86, + 271.87 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 281.03, + 263.85, + 300.93, + 271.87 + ] + }, + { + "text": "442", + "bbox_points": [ + 317.82, + 263.85, + 331.07, + 271.87 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 263.85, + 409.8, + 271.87 + ] + }, + { + "text": "500", + "bbox_points": [ + 412.16, + 263.85, + 425.41, + 271.87 + ] + } + ] + }, + { + "text": "Calcium as CA IS 3025 (Part 40):1991 mg/L 12.0 Max 75", + "bbox_points": [ + 37.02, + 277.85, + 420.99, + 285.87 + ], + "words": [ + { + "text": "Calcium", + "bbox_points": [ + 37.02, + 277.85, + 67.16, + 285.87 + ] + }, + { + "text": "as", + "bbox_points": [ + 69.45, + 277.85, + 76.94, + 285.87 + ] + }, + { + "text": "CA", + "bbox_points": [ + 79.37, + 277.85, + 90.93, + 285.87 + ] + }, + { + "text": "IS", + "bbox_points": [ + 140.54, + 277.85, + 148.45, + 285.87 + ] + }, + { + "text": "3025", + "bbox_points": [ + 150.86, + 277.85, + 168.52, + 285.87 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 170.87, + 277.85, + 188.31, + 285.87 + ] + }, + { + "text": "40):1991", + "bbox_points": [ + 190.71, + 277.85, + 222.28, + 285.87 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 281.03, + 277.85, + 300.93, + 285.87 + ] + }, + { + "text": "12.0", + "bbox_points": [ + 317.82, + 277.85, + 333.07, + 285.87 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 277.85, + 409.8, + 285.87 + ] + }, + { + "text": "75", + "bbox_points": [ + 412.16, + 277.85, + 420.99, + 285.87 + ] + } + ] + }, + { + "text": "Chloride as Cl IS 3025 (Part 32):1988 mg/L 128 Max 250", + "bbox_points": [ + 37.02, + 291.86, + 425.41, + 299.87 + ], + "words": [ + { + "text": "Chloride", + "bbox_points": [ + 37.02, + 291.86, + 68.4, + 299.87 + ] + }, + { + "text": "as", + "bbox_points": [ + 70.81, + 291.86, + 78.3, + 299.87 + ] + }, + { + "text": "Cl", + "bbox_points": [ + 80.67, + 291.86, + 88.75, + 299.87 + ] + }, + { + "text": "IS", + "bbox_points": [ + 140.54, + 291.86, + 148.45, + 299.87 + ] + }, + { + "text": "3025", + "bbox_points": [ + 150.86, + 291.86, + 168.52, + 299.87 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 170.87, + 291.86, + 188.31, + 299.87 + ] + }, + { + "text": "32):1988", + "bbox_points": [ + 190.71, + 291.86, + 222.28, + 299.87 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 281.03, + 291.86, + 300.93, + 299.87 + ] + }, + { + "text": "128", + "bbox_points": [ + 317.82, + 291.86, + 331.07, + 299.87 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 291.86, + 409.8, + 299.87 + ] + }, + { + "text": "250", + "bbox_points": [ + 412.16, + 291.86, + 425.41, + 299.87 + ] + } + ] + }, + { + "text": "Magnesium as Mg IS 3025 (Part 46):1994 mg/L 17.8 Max 30", + "bbox_points": [ + 37.02, + 305.86, + 420.99, + 313.88 + ], + "words": [ + { + "text": "Magnesium", + "bbox_points": [ + 37.02, + 305.86, + 78.8, + 313.88 + ] + }, + { + "text": "as", + "bbox_points": [ + 81.18, + 305.86, + 88.67, + 313.88 + ] + }, + { + "text": "Mg", + "bbox_points": [ + 91.05, + 305.86, + 102.79, + 313.88 + ] + }, + { + "text": "IS", + "bbox_points": [ + 140.54, + 305.86, + 148.45, + 313.88 + ] + }, + { + "text": "3025", + "bbox_points": [ + 150.86, + 305.86, + 168.52, + 313.88 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 170.87, + 305.86, + 188.31, + 313.88 + ] + }, + { + "text": "46):1994", + "bbox_points": [ + 190.71, + 305.86, + 222.28, + 313.88 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 281.03, + 305.86, + 300.93, + 313.88 + ] + }, + { + "text": "17.8", + "bbox_points": [ + 317.82, + 305.86, + 333.07, + 313.88 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 305.86, + 409.8, + 313.88 + ] + }, + { + "text": "30", + "bbox_points": [ + 412.16, + 305.86, + 420.99, + 313.88 + ] + } + ] + }, + { + "text": "Iron as Fe IS 3025 (Part 53):2003 mg/L 0.30 Max 1", + "bbox_points": [ + 37.02, + 319.86, + 416.57, + 327.88 + ], + "words": [ + { + "text": "Iron", + "bbox_points": [ + 37.02, + 319.86, + 52.46, + 327.88 + ] + }, + { + "text": "as", + "bbox_points": [ + 54.88, + 319.86, + 62.37, + 327.88 + ] + }, + { + "text": "Fe", + "bbox_points": [ + 64.74, + 319.86, + 73.28, + 327.88 + ] + }, + { + "text": "IS", + "bbox_points": [ + 140.54, + 319.86, + 148.44, + 327.88 + ] + }, + { + "text": "3025", + "bbox_points": [ + 150.86, + 319.86, + 168.52, + 327.88 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 170.87, + 319.86, + 188.31, + 327.88 + ] + }, + { + "text": "53):2003", + "bbox_points": [ + 190.71, + 319.86, + 222.28, + 327.88 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 281.03, + 319.86, + 300.93, + 327.88 + ] + }, + { + "text": "0.30", + "bbox_points": [ + 317.82, + 319.86, + 333.07, + 327.88 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 319.86, + 409.8, + 327.88 + ] + }, + { + "text": "1", + "bbox_points": [ + 412.16, + 319.86, + 416.57, + 327.88 + ] + } + ] + }, + { + "text": "Sulphate as SO4 IS 3025 (Part 24):1986 mg/L 62.1 Max 200", + "bbox_points": [ + 37.02, + 333.87, + 425.41, + 342.56 + ], + "words": [ + { + "text": "Sulphate", + "bbox_points": [ + 37.02, + 333.87, + 68.49, + 341.88 + ] + }, + { + "text": "as", + "bbox_points": [ + 70.87, + 333.87, + 78.35, + 341.88 + ] + }, + { + "text": "SO4", + "bbox_points": [ + 80.79, + 333.87, + 95.55, + 342.56 + ] + }, + { + "text": "IS", + "bbox_points": [ + 140.54, + 333.87, + 148.45, + 341.88 + ] + }, + { + "text": "3025", + "bbox_points": [ + 150.86, + 333.87, + 168.52, + 341.88 + ] + }, + { + "text": "(Part", + "bbox_points": [ + 170.87, + 333.87, + 188.31, + 341.88 + ] + }, + { + "text": "24):1986", + "bbox_points": [ + 190.71, + 333.87, + 222.28, + 341.88 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 281.03, + 333.87, + 300.93, + 341.88 + ] + }, + { + "text": "62.1", + "bbox_points": [ + 317.82, + 333.87, + 333.07, + 341.88 + ] + }, + { + "text": "Max", + "bbox_points": [ + 393.73, + 333.87, + 409.8, + 341.88 + ] + }, + { + "text": "200", + "bbox_points": [ + 412.16, + 333.87, + 425.41, + 341.88 + ] + } + ] + }, + { + "text": "Source: Field sample data from the water source (Jivamritam)", + "bbox_points": [ + 37.02, + 350.15, + 205.08, + 356.19 + ], + "words": [ + { + "text": "Source:", + "bbox_points": [ + 37.02, + 350.15, + 57.37, + 356.15 + ] + }, + { + "text": "Field", + "bbox_points": 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Meride & Ayenew,", + "bbox_points": [ + 123.99, + 230.34, + 238.13, + 238.36 + ], + "words": [ + { + "text": "Tyagi,", + "bbox_points": [ + 123.99, + 230.34, + 145.09, + 238.36 + ] + }, + { + "text": "2015;", + "bbox_points": [ + 147.46, + 230.34, + 167.42, + 238.36 + ] + }, + { + "text": "Meride", + "bbox_points": [ + 169.79, + 230.34, + 195.6, + 238.36 + ] + }, + { + "text": "&", + "bbox_points": [ + 197.97, + 230.34, + 205.3, + 238.36 + ] + }, + { + "text": "Ayenew,", + "bbox_points": [ + 207.67, + 230.34, + 238.13, + 238.36 + ] + } + ] + }, + { + "text": "2016).", + "bbox_points": [ + 123.99, + 240.83, + 146.31, + 248.85 + ], + "words": [ + { + "text": "2016).", + "bbox_points": [ + 123.99, + 240.83, + 146.31, + 248.85 + ] + } + ] + }, + { + "text": "Total hardness Hard water is defined as water with a Untreated water Hard water has a negative impact on", + "bbox_points": [ + 53.24, + 254.56, + 494.1, + 262.85 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 53.24, + 254.83, + 71.69, + 262.85 + ] + }, + { + "text": "hardness", + "bbox_points": [ + 74.1, + 254.83, + 106.06, + 262.85 + ] + }, + { + "text": "Hard", + "bbox_points": [ + 115.94, + 254.84, + 134.83, + 262.85 + ] + }, + { + "text": "water", + "bbox_points": [ + 137.2, + 254.84, + 157.08, + 262.85 + ] + }, + { + "text": "is", + "bbox_points": [ + 159.48, + 254.84, + 165.13, + 262.85 + ] + }, + { + "text": "defined", + "bbox_points": [ + 167.53, + 254.56, + 194.11, + 262.85 + ] + }, + { + "text": "as", + "bbox_points": [ + 196.5, + 254.84, + 203.99, + 262.85 + ] + }, + { + "text": "water", + "bbox_points": [ + 206.36, + 254.84, + 226.25, + 262.85 + ] + }, + { + "text": "with", + "bbox_points": [ + 228.64, + 254.84, + 244.62, + 262.85 + ] + }, + { + "text": "a", + "bbox_points": [ + 247.01, + 254.84, + 251.17, + 262.85 + ] + }, + { + "text": "Untreated", + "bbox_points": [ + 261.18, + 254.84, + 296.88, + 262.85 + ] + }, + { + "text": "water", + "bbox_points": [ + 299.28, + 254.84, + 319.17, + 262.85 + ] + }, + { + "text": "Hard", + "bbox_points": [ + 361.3, + 254.84, + 380.2, + 262.85 + ] + }, + { + "text": "water", + "bbox_points": [ + 382.56, + 254.84, + 402.45, + 262.85 + ] + }, + { + "text": "has", + "bbox_points": [ + 404.84, + 254.84, + 417.08, + 262.85 + ] + }, + { + "text": "a", + "bbox_points": [ + 419.41, + 254.84, + 423.57, + 262.85 + ] + }, + { + "text": "negative", + "bbox_points": [ + 425.99, + 254.84, + 455.56, + 262.85 + ] + }, + { + "text": "impact", + "bbox_points": [ + 457.97, + 254.84, + 482.4, + 262.85 + ] + }, + { + "text": "on", + "bbox_points": [ + 484.78, + 254.84, + 494.1, + 262.85 + ] + } + ] + }, + { + "text": "as CaCO3 high amount of calcium and 1,030 mg/L health because of its calcium and", + "bbox_points": [ + 61.23, + 265.32, + 489.3, + 274.12 + ], + "words": [ + { + "text": "as", + "bbox_points": [ + 61.23, + 265.32, + 68.72, + 273.33 + ] + }, + { + "text": "CaCO3", + "bbox_points": [ + 71.15, + 265.32, + 96.63, + 274.12 + ] + }, + { + "text": "high", + "bbox_points": [ + 123.99, + 265.33, + 139.8, + 273.34 + ] + }, + { + "text": "amount", + "bbox_points": [ + 142.13, + 265.33, + 169.76, + 273.34 + ] + }, + { + "text": "of", + "bbox_points": [ + 172.12, + 265.33, + 179.19, + 273.34 + ] + }, + { + "text": "calcium", + "bbox_points": [ + 181.59, + 265.33, + 209.98, + 273.34 + ] + }, + { + "text": "and", + "bbox_points": [ + 212.32, + 265.33, + 225.8, + 273.34 + ] + }, + { + "text": "1,030", + "bbox_points": [ + 261.18, + 265.32, + 280.85, + 273.34 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 282.78, + 265.32, + 302.69, + 273.34 + ] + }, + { + "text": "health", + "bbox_points": [ + 369.3, + 265.32, + 391.85, + 273.34 + ] + }, + { + "text": "because", + "bbox_points": [ + 394.24, + 265.32, + 422.62, + 273.34 + ] + }, + { + "text": "of", + "bbox_points": [ + 425.03, + 265.32, + 432.1, + 273.34 + ] + }, + { + "text": "its", + "bbox_points": [ + 434.49, + 265.32, + 442.73, + 273.34 + ] + }, + { + "text": "calcium", + "bbox_points": [ + 445.1, + 265.32, + 473.49, + 273.34 + ] + }, + { + "text": "and", + "bbox_points": [ + 475.82, + 265.32, + 489.3, + 273.34 + ] + } + ] + }, + { + "text": "magnesium ions (Sengupta, 2013). Treated water 106 mg/L magnesium salts, which can", + "bbox_points": [ + 123.99, + 275.87, + 470.25, + 283.89 + ], + "words": [ + { + "text": "magnesium", + "bbox_points": [ + 123.99, + 275.87, + 165.0, + 283.89 + ] + }, + { + "text": "ions", + "bbox_points": [ + 167.41, + 275.87, + 182.39, + 283.89 + ] + }, + { + "text": "(Sengupta,", + "bbox_points": [ + 184.76, + 275.87, + 222.86, + 283.89 + ] + }, + { + "text": "2013).", + "bbox_points": [ + 225.19, + 275.87, + 247.56, + 283.89 + ] + }, + { + "text": "Treated", + "bbox_points": [ + 261.18, + 275.87, + 288.1, + 283.89 + ] + }, + { + "text": "water", + "bbox_points": [ + 290.49, + 275.87, + 310.32, + 283.89 + ] + }, + { + "text": "106", + "bbox_points": [ + 312.72, + 275.87, + 325.97, + 283.89 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 327.91, + 275.87, + 347.82, + 283.89 + ] + }, + { + "text": "magnesium", + "bbox_points": [ + 369.3, + 275.87, + 410.43, + 283.88 + ] + }, + { + "text": "salts,", + "bbox_points": [ + 412.72, + 275.87, + 430.44, + 283.88 + ] + }, + { + "text": "which", + "bbox_points": [ + 432.85, + 275.87, + 454.99, + 283.88 + ] + }, + { + "text": "can", + "bbox_points": [ + 457.34, + 275.87, + 470.25, + 283.88 + ] + } + ] + }, + { + "text": "Untreated water is contribute to hair loss by forming a", + "bbox_points": [ + 261.18, + 286.33, + 496.42, + 294.37 + ], + "words": [ + { + "text": "Untreated", + "bbox_points": [ + 261.18, + 286.33, + 298.29, + 294.33 + ] + }, + { + "text": "water", + "bbox_points": [ + 300.7, + 286.33, + 321.25, + 294.33 + ] + }, + { + "text": "is", + "bbox_points": [ + 323.6, + 286.33, + 329.52, + 294.33 + ] + }, + { + "text": "contribute", + "bbox_points": [ + 369.3, + 286.36, + 406.25, + 294.37 + ] + }, + { + "text": "to", + "bbox_points": [ + 408.59, + 286.36, + 415.74, + 294.37 + ] + }, + { + "text": "hair", + "bbox_points": [ + 418.17, + 286.36, + 432.56, + 294.37 + ] + }, + { + "text": "loss", + "bbox_points": [ + 434.89, + 286.36, + 448.45, + 294.37 + ] + }, 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"text": "difficult", + "bbox_points": [ + 405.75, + 307.05, + 433.35, + 315.35 + ] + }, + { + "text": "for", + "bbox_points": [ + 435.74, + 307.33, + 445.97, + 315.35 + ] + }, + { + "text": "moisture", + "bbox_points": [ + 448.38, + 307.33, + 479.54, + 315.35 + ] + }, + { + "text": "to", + "bbox_points": [ + 481.89, + 307.33, + 489.04, + 315.35 + ] + } + ] + }, + { + "text": "penetrate (Sasikaran et al., 2012).", + "bbox_points": [ + 369.3, + 317.72, + 489.75, + 325.83 + ], + "words": [ + { + "text": "penetrate", + "bbox_points": [ + 369.3, + 317.82, + 402.75, + 325.83 + ] + }, + { + "text": "(Sasikaran", + "bbox_points": [ + 405.13, + 317.82, + 443.0, + 325.83 + ] + }, + { + "text": "et", + "bbox_points": [ + 445.38, + 317.72, + 451.7, + 325.72 + ] + }, + { + "text": "al.,", + "bbox_points": [ + 454.11, + 317.72, + 464.97, + 325.83 + ] + }, + { + "text": "2012).", + "bbox_points": [ + 467.38, + 317.82, + 489.75, + 325.83 + ] + } + ] + }, + { + "text": "Total TDS refers to all inorganic and Untreated water TDS levels in groundwater are generally", + "bbox_points": [ + 53.24, + 331.82, + 505.31, + 339.84 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 53.24, + 331.82, + 71.69, + 339.84 + ] + }, + { + "text": "TDS", + "bbox_points": [ + 115.94, + 331.82, + 132.26, + 339.84 + ] + }, + { + "text": "refers", + "bbox_points": [ + 134.65, + 331.82, + 154.63, + 339.84 + ] + }, + { + "text": "to", + "bbox_points": [ + 156.81, + 331.82, + 163.96, + 339.84 + ] + }, + { + "text": "all", + "bbox_points": [ + 166.34, + 331.82, + 175.15, + 339.84 + ] + }, + { + "text": "inorganic", + "bbox_points": [ + 177.56, + 331.82, + 211.6, + 339.84 + ] + }, + { + "text": "and", + "bbox_points": [ + 213.96, + 331.82, + 227.44, + 339.84 + ] + }, + { + "text": "Untreated", + "bbox_points": [ + 261.18, + 331.82, + 296.88, + 339.84 + ] + }, + { + "text": "water", + "bbox_points": [ + 299.28, + 331.82, + 319.16, + 339.84 + ] + }, + { + "text": "TDS", + "bbox_points": [ + 361.3, + 331.82, + 377.62, + 339.83 + ] + }, + { + "text": "levels", + "bbox_points": [ + 380.01, + 331.82, + 399.93, + 339.83 + ] + }, + { + "text": "in", + "bbox_points": [ + 402.35, + 331.82, + 409.42, + 339.83 + ] + }, + { + "text": "groundwater", + "bbox_points": [ + 411.82, + 331.82, + 457.1, + 339.83 + ] + }, + { + "text": "are", + "bbox_points": [ + 459.33, + 331.82, + 470.47, + 339.83 + ] + }, + { + "text": "generally", + "bbox_points": [ + 472.82, + 331.82, + 505.31, + 339.83 + ] + } + ] + }, + { + "text": "dissolved organic substances dispersed in 3,748 mg/L not harmful to humans, but high", + "bbox_points": [ + 61.23, + 342.31, + 486.59, + 350.33 + ], + "words": [ + { + "text": "dissolved", + "bbox_points": [ + 61.23, + 342.31, + 94.24, + 350.33 + ] + }, + { + "text": "organic", + "bbox_points": [ + 123.99, + 342.31, + 150.95, + 350.32 + ] + }, + { + "text": "substances", + "bbox_points": [ + 153.3, + 342.31, + 191.53, + 350.32 + ] + }, + { + "text": "dispersed", + "bbox_points": [ + 193.89, + 342.31, + 227.76, + 350.32 + ] + }, + { + "text": "in", + "bbox_points": [ + 230.12, + 342.31, + 237.19, + 350.32 + ] + }, + { + "text": "3,748", + "bbox_points": [ + 261.18, + 342.31, + 280.85, + 350.32 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 282.78, + 342.31, + 302.69, + 350.32 + ] + }, + { + "text": "not", + "bbox_points": [ + 369.3, + 342.31, + 381.19, + 350.32 + ] + }, + { + "text": "harmful", + "bbox_points": [ + 383.58, + 342.31, + 412.05, + 350.32 + ] + }, + { + "text": "to", + "bbox_points": [ + 414.42, + 342.31, + 421.58, + 350.32 + ] + }, + { + "text": "humans,", + "bbox_points": [ + 423.95, + 342.31, + 454.5, + 350.32 + ] + }, + { + "text": "but", + "bbox_points": [ + 456.83, + 342.31, + 468.4, + 350.32 + ] + }, + { + "text": "high", + "bbox_points": [ + 470.78, + 342.31, + 486.59, + 350.32 + ] + } + ] + }, + { + "text": "solids water, including minerals, salts, Treated water 442 mg/L concentrations may affect those with", + "bbox_points": [ + 61.23, + 352.85, + 501.32, + 360.87 + ], + "words": [ + { + "text": "solids", + "bbox_points": [ + 61.23, + 352.85, + 81.69, + 360.87 + ] + }, + { + "text": "water,", + "bbox_points": [ + 123.99, + 352.85, + 145.82, + 360.87 + ] + }, + { + "text": "including", + "bbox_points": [ + 148.2, + 352.85, + 181.82, + 360.87 + ] + }, + { + "text": "minerals,", + "bbox_points": [ + 184.2, + 352.85, + 216.99, + 360.87 + ] + }, + { + "text": "salts,", + "bbox_points": [ + 219.4, + 352.85, + 237.12, + 360.87 + ] + }, + { + "text": "Treated", + "bbox_points": [ + 261.18, + 352.85, + 288.1, + 360.87 + ] + }, + { + "text": "water", + "bbox_points": [ + 290.49, + 352.85, + 310.32, + 360.87 + ] + }, + { + "text": "442", + "bbox_points": [ + 312.72, + 352.85, + 325.96, + 360.87 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 327.91, + 352.85, + 347.81, + 360.87 + ] + }, + { + "text": "concentrations", + "bbox_points": [ + 369.3, + 352.85, + 422.39, + 360.87 + ] + }, + { + "text": "may", + "bbox_points": [ + 424.8, + 352.85, + 439.74, + 360.87 + ] + }, + { + "text": "affect", + "bbox_points": [ + 441.98, + 352.85, + 461.51, + 360.87 + ] + }, + { + "text": "those", + "bbox_points": [ + 463.92, + 352.85, + 483.14, + 360.87 + ] + }, + { + "text": "with", + "bbox_points": [ + 485.35, + 352.85, + 501.32, + 360.87 + ] + } + ] + }, + { + "text": "metals, or anions (Hussain, 2019). Untreated water is more kidney and heart diseases. According", + "bbox_points": [ + 123.99, + 363.31, + 503.17, + 371.36 + ], + "words": [ + { + "text": "metals,", + "bbox_points": [ + 123.99, + 363.34, + 149.29, + 371.36 + ] + }, + { + "text": "or", + "bbox_points": [ + 151.71, + 363.34, + 159.45, + 371.36 + ] + }, + { + "text": "anions", + "bbox_points": [ + 161.63, + 363.34, + 185.51, + 371.36 + ] + }, + { + "text": "(Hussain,", + "bbox_points": [ + 187.88, + 363.34, + 222.02, + 371.36 + ] + }, + { + "text": "2019).", + "bbox_points": [ + 224.45, + 363.34, + 246.82, + 371.36 + ] + }, + { + "text": "Untreated", + "bbox_points": [ + 261.18, + 363.31, + 298.29, + 371.31 + ] + }, + { + "text": "water", + "bbox_points": [ + 300.7, + 363.31, + 321.25, + 371.31 + ] + }, + { + "text": "is", + "bbox_points": [ + 323.6, + 363.31, + 329.51, + 371.31 + ] + }, + { + "text": "more", + "bbox_points": [ + 331.94, + 363.31, + 350.95, + 371.31 + ] + }, + { + "text": "kidney", + "bbox_points": [ + 369.3, + 363.34, + 393.31, + 371.35 + ] + }, + { + "text": "and", + "bbox_points": [ + 395.54, + 363.34, + 409.02, + 371.35 + ] + }, + { + "text": "heart", + "bbox_points": [ + 411.42, + 363.34, + 430.06, + 371.35 + ] + }, + { + "text": "diseases.", + "bbox_points": [ + 432.4, + 363.34, + 463.44, + 371.35 + ] + }, + { + "text": "According", + "bbox_points": [ + 465.79, + 363.34, + 503.17, + 371.35 + ] + } + ] + }, + { + "text": "Generally, solids must fit through a than the maximum to Sasikaran et al. 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People who are not used to", + "bbox_points": [ + 244.91, + 135.81, + 476.11, + 143.85 + ], + "words": [ + { + "text": "maximum", + "bbox_points": [ + 244.91, + 135.81, + 282.29, + 143.81 + ] + }, + { + "text": "limit", + "bbox_points": [ + 284.71, + 135.81, + 302.1, + 143.81 + ] + }, + { + "text": "of", + "bbox_points": [ + 304.44, + 135.81, + 311.76, + 143.81 + ] + }, + { + "text": "2016).", + "bbox_points": [ + 353.08, + 135.84, + 375.4, + 143.85 + ] + }, + { + "text": "People", + "bbox_points": [ + 377.8, + 135.84, + 402.1, + 143.85 + ] + }, + { + "text": "who", + "bbox_points": [ + 404.28, + 135.84, + 419.92, + 143.85 + ] + }, + { + "text": "are", + "bbox_points": [ + 422.3, + 135.84, + 433.45, + 143.85 + ] + }, + { + "text": "not", + "bbox_points": [ + 435.85, + 135.84, + 447.75, + 143.85 + ] + }, + { + "text": "used", + "bbox_points": [ + 450.14, + 135.84, + 466.62, + 143.85 + ] + }, + { + "text": "to", + "bbox_points": [ + 468.96, + 135.84, + 476.11, + 143.85 + ] + } + ] + }, + { + "text": "250 mg/L. drinking water with high sulphate", + "bbox_points": [ + 244.91, + 146.3, + 474.74, + 154.34 + ], + "words": [ + { + "text": "250", + "bbox_points": [ + 244.91, + 146.3, + 258.16, + 154.3 + ] + }, + { + "text": "mg/L.", + "bbox_points": [ + 260.11, + 146.3, + 282.12, + 154.34 + ] + }, + { + "text": "drinking", + "bbox_points": [ + 353.08, + 146.33, + 383.54, + 154.34 + ] + }, + { + "text": "water", + "bbox_points": [ + 385.85, + 146.33, + 405.73, + 154.34 + ] + }, + { + "text": "with", + "bbox_points": [ + 408.13, + 146.33, + 424.11, + 154.34 + ] + }, + { + "text": "high", + "bbox_points": [ + 426.44, + 146.33, + 442.26, + 154.34 + ] + }, + { + "text": "sulphate", + "bbox_points": [ + 444.64, + 146.33, + 474.74, + 154.34 + ] + } + ] + }, + { + "text": "content may experience diarrhoea", + "bbox_points": [ + 353.08, + 156.81, + 475.76, + 164.83 + ], + "words": [ + { + "text": "content", + "bbox_points": [ + 353.08, + 156.81, + 380.2, + 164.83 + ] + }, + { + "text": "may", + "bbox_points": [ + 382.62, + 156.81, + 397.62, + 164.83 + ] + }, + { + "text": "experience", + "bbox_points": [ + 399.8, + 156.81, + 438.52, + 164.83 + ] + }, + { + "text": "diarrhoea", + "bbox_points": [ + 440.9, + 156.81, + 475.76, + 164.83 + ] + } + ] + }, + { + "text": "and dehydration as a result, according", + "bbox_points": [ + 353.08, + 167.36, + 490.31, + 175.37 + ], + "words": [ + { + "text": "and", + "bbox_points": [ + 353.08, + 167.36, + 366.56, + 175.37 + ] + }, + { + "text": "dehydration", + "bbox_points": [ + 368.9, + 167.36, + 411.98, + 175.37 + ] + }, + { + "text": "as", + "bbox_points": [ + 414.37, + 167.36, + 421.85, + 175.37 + ] + }, + { + "text": "a", + "bbox_points": [ + 424.23, + 167.36, + 428.39, + 175.37 + ] + }, + { + "text": "result,", + "bbox_points": [ + 430.75, + 167.36, + 452.56, + 175.37 + ] + }, + { + "text": "according", + "bbox_points": [ + 454.96, + 167.36, + 490.31, + 175.37 + ] + } + ] + }, + { + "text": "to ‘The Minnesota department of", + "bbox_points": [ + 353.08, + 177.57, + 472.01, + 185.86 + ], + "words": [ + { + "text": "to", + "bbox_points": [ + 353.08, + 177.85, + 360.23, + 185.86 + ] + }, + { + "text": "‘The", + "bbox_points": [ + 362.61, + 177.57, + 378.33, + 185.86 + ] + }, + { + "text": "Minnesota", + "bbox_points": [ + 380.69, + 177.85, + 418.89, + 185.86 + ] + }, + { + "text": "department", + "bbox_points": [ + 421.23, + 177.85, + 462.5, + 185.86 + ] + }, + { + "text": "of", + "bbox_points": [ + 464.94, + 177.85, + 472.01, + 185.86 + ] + } + ] + }, + { + "text": "health’. Compared to adults, babies", + "bbox_points": [ + 353.08, + 188.05, + 479.82, + 196.35 + ], + "words": [ + { + "text": "health’.", + "bbox_points": [ + 353.08, + 188.05, + 379.57, + 196.35 + ] + }, + { + "text": "Compared", + "bbox_points": [ + 381.94, + 188.33, + 419.37, + 196.35 + ] + }, + { + "text": "to", + "bbox_points": [ + 421.74, + 188.33, + 428.89, + 196.35 + ] + }, + { + "text": "adults,", + "bbox_points": [ + 431.26, + 188.33, + 454.8, + 196.35 + ] + }, + { + "text": "babies", + "bbox_points": [ + 457.17, + 188.33, + 479.82, + 196.35 + ] + } + ] + }, + { + "text": "are more sensitive to sulphate. High", + "bbox_points": [ + 353.08, + 198.82, + 482.55, + 206.84 + ], + "words": [ + { + "text": "are", + "bbox_points": [ + 353.08, + 198.82, + 364.22, + 206.84 + ] + }, + { + "text": "more", + "bbox_points": [ + 366.57, + 198.82, + 385.14, + 206.84 + ] + }, + { + "text": "sensitive", + "bbox_points": [ + 387.49, + 198.82, + 418.08, + 206.84 + ] + }, + { + "text": "to", + "bbox_points": [ + 420.49, + 198.82, + 427.64, + 206.84 + ] + }, + { + "text": "sulphate.", + "bbox_points": [ + 430.01, + 198.82, + 462.12, + 206.84 + ] + }, + { + "text": "High", + "bbox_points": [ + 464.48, + 198.82, + 482.55, + 206.84 + ] + } + ] + }, + { + "text": "concentrations can also cause the", + "bbox_points": [ + 353.08, + 209.37, + 474.33, + 217.38 + ], + "words": [ + { + "text": "concentrations", + "bbox_points": [ + 353.08, + 209.37, + 406.18, + 217.38 + ] + }, + { + "text": "can", + "bbox_points": [ + 408.53, + 209.37, + 421.43, + 217.38 + ] + }, + { + "text": "also", + "bbox_points": [ + 423.83, + 209.37, + 438.23, + 217.38 + ] + }, + { + "text": "cause", + "bbox_points": [ + 440.62, + 209.37, + 460.68, + 217.38 + ] + }, + { + "text": "the", + "bbox_points": [ + 463.01, + 209.37, + 474.33, + 217.38 + ] + } + ] + }, + { + "text": "water’s flavour to change and can", + "bbox_points": [ + 353.08, + 219.57, + 474.33, + 227.87 + ], + "words": [ + { + "text": "water’s", + "bbox_points": [ + 353.08, + 219.57, + 378.24, + 227.87 + ] + }, + { + "text": "flavour", + "bbox_points": [ + 380.63, + 219.57, + 405.65, + 227.87 + ] + }, + { + "text": "to", + "bbox_points": [ + 408.02, + 219.85, + 415.17, + 227.87 + ] + }, + { + "text": "change", + "bbox_points": [ + 417.6, + 219.85, + 443.25, + 227.87 + ] + }, + { + "text": "and", + "bbox_points": [ + 445.55, + 219.85, + 459.03, + 227.87 + ] + }, + { + "text": "can", + "bbox_points": [ + 461.42, + 219.85, + 474.33, + 227.87 + ] + } + ] + }, + { + "text": "corrode plumbing, particularly copper", + "bbox_points": [ + 353.08, + 230.34, + 490.17, + 238.36 + ], + "words": [ + { + "text": "corrode", + "bbox_points": [ + 353.08, + 230.34, + 380.92, + 238.36 + ] + }, + { + "text": "plumbing,", + "bbox_points": [ + 383.3, + 230.34, + 419.18, + 238.36 + ] + }, + { + "text": "particularly", + "bbox_points": [ + 421.57, + 230.34, + 462.92, + 238.36 + ] + }, + { + "text": "copper", + "bbox_points": [ + 465.28, + 230.34, + 490.17, + 238.36 + ] + } + ] + }, + { + "text": "piping.", + "bbox_points": [ + 353.08, + 240.83, + 377.63, + 248.85 + ], + "words": [ + { + "text": "piping.", + "bbox_points": [ + 353.08, + 240.83, + 377.63, + 248.85 + ] + } + ] + }, + { + "text": "Magnesium as The eighth most common element in Untreated water According to studies, consuming", + "bbox_points": [ + 37.02, + 254.83, + 462.42, + 262.85 + ], + "words": [ + { + "text": "Magnesium", + "bbox_points": [ + 37.02, + 254.83, + 78.8, + 262.85 + ] + }, + { + "text": "as", + "bbox_points": [ + 81.18, + 254.83, + 88.67, + 262.85 + ] + }, + { + "text": "The", + "bbox_points": [ + 99.72, + 254.83, + 113.47, + 262.85 + ] + }, + { + "text": "eighth", + "bbox_points": [ + 115.82, + 254.83, + 138.21, + 262.85 + ] + }, + { + "text": "most", + "bbox_points": [ + 140.54, + 254.83, + 157.86, + 262.85 + ] + }, + { + "text": "common", + "bbox_points": [ + 160.27, + 254.83, + 192.06, + 262.85 + ] + }, + { + "text": "element", + "bbox_points": [ + 194.45, + 254.83, + 223.1, + 262.85 + ] + }, + { + "text": "in", + "bbox_points": [ + 225.41, + 254.83, + 232.48, + 262.85 + ] + }, + { + "text": "Untreated", + "bbox_points": [ + 244.91, + 254.83, + 280.67, + 262.85 + ] + }, + { + "text": "water", + "bbox_points": [ + 283.01, + 254.83, + 302.89, + 262.85 + ] + }, + { + "text": "According", + "bbox_points": [ + 345.09, + 254.83, + 382.36, + 262.85 + ] + }, + { + "text": "to", + "bbox_points": [ + 384.77, + 254.83, + 391.92, + 262.85 + ] + }, + { + "text": "studies,", + "bbox_points": [ + 394.3, + 254.83, + 420.85, + 262.85 + ] + }, + { + "text": "consuming", + "bbox_points": [ + 423.21, + 254.83, + 462.42, + 262.85 + ] + } + ] + }, + { + "text": "Mg the crust of the Earth is 186 mg/L excessive amounts of magnesium and", + "bbox_points": [ + 45.01, + 265.32, + 488.05, + 273.34 + ], + "words": [ + { + "text": "Mg", + "bbox_points": [ + 45.01, + 265.32, + 56.76, + 273.34 + ] + }, + { + "text": "the", + "bbox_points": [ + 107.71, + 265.32, + 119.03, + 273.34 + ] + }, + { + "text": "crust", + "bbox_points": [ + 121.43, + 265.32, + 138.86, + 273.34 + ] + }, + { + "text": "of", + "bbox_points": [ + 141.28, + 265.32, + 148.35, + 273.34 + ] + }, + { + "text": "the", + "bbox_points": [ + 150.69, + 265.32, + 162.01, + 273.34 + ] + }, + { + "text": "Earth", + "bbox_points": [ + 164.41, + 265.32, + 184.54, + 273.34 + ] + }, + { + "text": "is", + "bbox_points": [ + 186.91, + 265.32, + 192.57, + 273.34 + ] + }, + { + "text": "186", + "bbox_points": [ + 244.91, + 265.32, + 258.16, + 273.33 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 260.1, + 265.32, 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In addition,", + "bbox_points": [ + 107.71, + 286.25, + 469.19, + 294.37 + ], + "words": [ + { + "text": "naturally", + "bbox_points": [ + 107.71, + 286.35, + 139.41, + 294.37 + ] + }, + { + "text": "occur", + "bbox_points": [ + 141.62, + 286.35, + 161.93, + 294.37 + ] + }, + { + "text": "alone.", + "bbox_points": [ + 164.12, + 286.35, + 185.93, + 294.37 + ] + }, + { + "text": "Minerals", + "bbox_points": [ + 188.28, + 286.35, + 219.86, + 294.37 + ] + }, + { + "text": "like", + "bbox_points": [ + 222.23, + 286.35, + 235.31, + 294.37 + ] + }, + { + "text": "Untreated", + "bbox_points": [ + 244.91, + 286.32, + 282.07, + 294.32 + ] + }, + { + "text": "water", + "bbox_points": [ + 284.43, + 286.32, + 304.97, + 294.32 + ] + }, + { + "text": "is", + "bbox_points": [ + 307.39, + 286.32, + 313.3, + 294.32 + ] + }, + { + "text": "far", + "bbox_points": [ + 315.66, + 286.32, + 326.06, + 294.32 + ] + }, + { + "text": "(Galan", + "bbox_points": [ + 353.08, + 286.35, + 377.94, + 294.37 + ] + }, + { 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The metrics were grouped into three cat- egories, with BOD/COD falling both in the microbial activity and physical–chemical categories. Bars in white had the highest scores and were selected as most promising for analysis in this study. diff --git a/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_02.jpg b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..dec0f1f9267d7baa3bf762c6c4197f38cad476bd --- /dev/null +++ b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5b6c759da20b6820f4852cf635b69a656e4a66949928afa8537a307b35d47236 +size 80068 diff --git a/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_02.txt b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..161398584322c81e8df74eaf664127e0eb3cb0e7 --- /dev/null +++ b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_02.txt @@ -0,0 +1 @@ +Results of metrics of stabilization for fresh FS (0 years), pit latrines (PL1, PL2, PL3, VVL), and septic tank (ST). The dashed line represents the stability index for each metric. diff --git a/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_03.jpg b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1a903b96909482e302e43330b3712aa964922ab3 --- /dev/null +++ b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:27d9832afa093c4967104f61c17e7a60f61937384ad96b0fd4b05f4105a13a1a +size 61042 diff --git a/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_03.txt b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3ef25264e304bcf417833e32e7fa7a6cf00db23 --- /dev/null +++ b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_03.txt @@ -0,0 +1 @@ +Scatter plots showing results of metrics of stabilization and normalized capillary suction time (CST) (n ¼ 22). The dashed lines indicate the stability index. LP, lined pit larine; PLP, partially lined pit larine; ST, septic tank. diff --git a/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_04.jpg b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..38cff40766ad15e052767ff23328cd49b13b8281 --- /dev/null +++ b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:241ff1ae729535d8a8ae445b2498ad15774f76a7aec2f2311c7958e654b633d7 +size 89592 diff --git a/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_04.txt b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf5757ecb80b7894b5b790947ad734e96112af1c --- /dev/null +++ b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/figure_04.txt @@ -0,0 +1 @@ +(a), (b), and (c) Scatter plots showing the relationship between normalized CST and metrics of stabilization before and after anaerobic digestion (AD) (dashed line indicates stability index for the respective method). LP, lined pit larine sludge; PLP, partially lined pit latrine sludge; ST, septic tank sludge. diff --git a/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/manifest.json b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..54e5eb990e7b887951e103d97cad41a2bb048003 --- /dev/null +++ b/Figures/Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics/manifest.json @@ -0,0 +1,150 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Kapanda et al. - 2024 - Metrics for stabilization of fecal sludge and relation to dewatering metrics.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 5, + "items": [ + { + "kind": "figure", + "label": "figure_01", + "page": 4, + "caption": "Resulting scores from the matrix evaluation for 14 identified metrics of stabilization. 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interlinkage between diarrhoea and drinking water faecal contamination in India/table_01.txt @@ -0,0 +1 @@ +List of top 20 districts with maximum diarrhoea inpatient rate and associated drinking water sources and quality diff --git a/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_01.jpg b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..de95d9b733389991e73334247b2a249ec639d108 --- /dev/null +++ b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:86c7168609223058ddbf6d379043ad3efe758f055aa0415a3529362738a6c643 +size 10075 diff --git a/Figures/Kara et al. - 2024 - Chemically 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spectral images of the S-CNP adsorbent, (b) XRD spectra of of the S-CNP adsorbent, (c) SEM images of the of the S-CNP adsorbent, and (d) TEM images, of the S-CNP adsorbent, respectively. diff --git a/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_03.jpg b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0f675b24bf1c7d0b720079b0423dc815d2adb461 --- /dev/null +++ b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b53b5f32b8cde210e44a1292ec00387b9a840d8692c5c97d6224692996d24195 +size 43457 diff --git a/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for 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0000000000000000000000000000000000000000..2e85f81b0aa20bee257d8bcd850f6d446bd8df09 --- /dev/null +++ b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aa251353330981af9a33354d65ce074b0bba142b5885a3569b6bd891f5625474 +size 59313 diff --git a/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_06.txt b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fde4238d132f9a1a95f933aef9f35d0067a512f --- /dev/null +++ b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_06.txt @@ -0,0 +1 @@ +The effects of wastewater chemistry (both aqueous and real SERWW, respectively) on the percent removal of Ni(II) and Pb(II) ions at optimum initial concentration equal to 30 mg/L, interaction periods of time equal to 120 min, room temp- erature, and adsorbent dosage equal to 0.5 g, respectively, by using S-CNP. diff --git a/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_07.jpg b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e16a4db485f49a126b84453024e81c122f0a2a23 --- /dev/null +++ b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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secondary runoff/figure_08.jpg b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ae2db6abf5e5a97829b5889fdc948ec5d69b5a5a --- /dev/null +++ b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f993b65d727e6624160445143dd737815ccd0eff62cb7e5746823d4368aa72ae +size 58843 diff --git a/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_08.txt b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/figure_08.txt new file mode 100644 index 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sorbent. diff --git a/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/graphic_abstract.jpg b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9a90498f8dd4420571b1e92c4ce22f2bd7fe080c --- /dev/null +++ b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:edc1d0f4f0f9833974dc2c9d2a923c7b0f82cbe8c59facc69c8d06f00e6165a7 +size 122890 diff --git a/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation of nickel and lead from secondary runoff/manifest.json b/Figures/Kara et al. - 2024 - Chemically modified cellulose nanomaterial for remediation 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(2007) 7", + "bbox_points": [ + 162.48, + 240.85, + 427.97, + 249.47 + ], + "words": [ + { + "text": "6", + "bbox_points": [ + 162.48, + 241.46, + 166.9, + 249.47 + ] + }, + { + "text": "Kerenyi", + "bbox_points": [ + 197.63, + 240.95, + 225.63, + 248.96 + ] + }, + { + "text": "et", + "bbox_points": [ + 228.02, + 240.85, + 234.34, + 248.85 + ] + }, + { + "text": "al.", + "bbox_points": [ + 236.75, + 240.85, + 245.66, + 248.85 + ] + }, + { + "text": "(2007)", + "bbox_points": [ + 248.03, + 240.95, + 271.18, + 248.96 + ] + }, + { + "text": "7", + "bbox_points": [ + 423.55, + 241.0, + 427.97, + 249.02 + ] + } + ] + }, + { + "text": "Qhu", + "bbox_points": [ + 390.22, + 250.99, + 404.89, + 259.65 + ], + "words": [ + { + "text": "Qhu", + "bbox_points": [ + 390.22, + 250.99, + 404.89, + 259.65 + ] + } + ] + }, + { + "text": "ds ¼ 2:2658 6664", + "bbox_points": [ + 329.84, + 247.3, + 377.27, + 269.47 + ], + "words": [ + { + "text": "ds", + "bbox_points": [ + 329.84, + 256.44, + 336.77, + 265.09 + ] + }, + { + "text": "¼", + "bbox_points": [ + 339.48, + 256.26, + 345.64, + 264.26 + ] + }, + { + "text": "2:2658", + "bbox_points": [ + 347.87, + 256.26, + 372.11, + 264.55 + ] + }, + { + "text": "6664", + "bbox_points": [ + 372.02, + 247.3, + 377.27, + 269.47 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 411.65, + 261.3, + 416.06, + 269.32 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 411.65, + 261.3, + 416.06, + 269.32 + ] + } + ] + }, + { + "text": "7775", + "bbox_points": [ + 418.34, + 247.3, + 423.58, + 269.47 + ], + "words": [ + { + "text": "7775", + "bbox_points": [ + 418.34, + 247.3, + 423.58, + 269.47 + ] + } + ] + }, + { + "text": "6:19huBd", + "bbox_points": [ + 377.29, + 274.8, + 411.71, + 283.63 + ], + "words": [ + { + "text": "6:19huBd", + "bbox_points": [ + 377.29, + 274.8, + 411.71, + 283.63 + ] + } + ] + }, + { + "text": "3", + "bbox_points": [ + 411.65, + 272.24, + 416.06, + 280.26 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 411.65, + 272.24, + 416.06, + 280.26 + ] + } + ] + }, + { + "text": "50", + "bbox_points": [ + 411.65, + 279.52, + 417.83, + 285.13 + ], + "words": [ + { + "text": "50", + "bbox_points": [ + 411.65, + 279.52, + 417.83, + 285.13 + ] + } + ] + }, + { + "text": "7 Sorourian et al. (2015) dsm", + "bbox_points": [ + 162.48, + 286.09, + 341.67, + 294.8 + ], + "words": [ + { + "text": "7", + "bbox_points": [ + 162.48, + 286.25, + 166.9, + 294.26 + ] + }, + { + "text": "Sorourian", + "bbox_points": [ + 197.63, + 286.25, + 233.48, + 294.26 + ] + }, + { + "text": "et", + "bbox_points": [ + 235.84, + 286.14, + 242.16, + 294.14 + ] + }, + { + "text": "al.", + "bbox_points": [ + 244.52, + 286.14, + 253.43, + 294.14 + ] + }, + { + "text": "(2015)", + "bbox_points": [ + 255.8, + 286.25, + 278.95, + 294.26 + ] + }, + { + "text": "dsm", + "bbox_points": [ + 329.84, + 286.09, + 341.67, + 294.8 + ] + } + ] + }, + { + "text": "¼ 0:27Fd þ 0:29B 0:35", + "bbox_points": [ + 344.41, + 291.35, + 432.27, + 300.47 + ], + "words": [ + { + "text": "¼", + "bbox_points": [ + 344.41, + 291.35, + 350.57, + 299.35 + ] + }, + { + "text": "0:27Fd", + "bbox_points": [ + 352.74, + 291.35, + 375.9, + 300.47 + ] + }, + { + "text": "þ", + "bbox_points": [ + 378.14, + 291.35, + 384.3, + 299.35 + ] + }, + { + "text": "0:29B", + "bbox_points": [ + 386.08, + 291.35, + 407.19, + 299.65 + ] + }, + { + "text": "0:35", + "bbox_points": [ + 416.92, + 291.35, + 432.27, + 299.65 + ] + } + ] + }, + { + "text": "hd", + "bbox_points": [ + 331.77, + 297.03, + 339.73, + 305.91 + ], + "words": [ + { + "text": "hd", + "bbox_points": [ + 331.77, + 297.03, + 339.73, + 305.91 + ] + } + ] + }, + { + "text": "B Circular 1 Abt et al. (1984) ds", + "bbox_points": [ + 64.01, + 310.52, + 336.99, + 319.18 + ], + "words": [ + { + "text": "B", + "bbox_points": [ + 64.01, + 310.62, + 69.58, + 318.64 + ] + }, + { + "text": "Circular", + "bbox_points": [ + 94.73, + 310.62, + 124.01, + 318.64 + ] + }, + { + "text": "1", + "bbox_points": [ + 162.48, + 310.62, + 166.9, + 318.64 + ] + }, + { + "text": "Abt", + "bbox_points": [ + 197.63, + 310.62, + 210.62, + 318.64 + ] + }, + { + "text": "et", + "bbox_points": [ + 213.0, + 310.52, + 219.32, + 318.52 + ] + }, + { + "text": "al.", + "bbox_points": [ + 221.67, + 310.52, + 230.58, + 318.52 + ] + }, + { + "text": "(1984)", + "bbox_points": [ + 232.95, + 310.62, + 256.1, + 318.64 + ] + }, + { + "text": "ds", + "bbox_points": [ + 330.01, + 310.52, + 336.99, + 319.18 + ] + } + ] + }, + { + "text": "0:4", + "bbox_points": [ + 410.74, + 314.36, + 418.42, + 320.17 + ], + "words": [ + { + "text": "0:4", + "bbox_points": [ + 410.74, + 314.36, + 418.42, + 320.17 + ] + } + ] + }, + { + "text": "¼ 3:67(F0:57", + "bbox_points": [ + 339.93, + 314.36, + 388.29, + 324.08 + ], + "words": [ + { + "text": "¼", + "bbox_points": [ + 339.93, + 315.79, + 346.09, + 323.79 + ] + }, + { + "text": "3:67(F0:57", + "bbox_points": [ + 354.44, + 314.36, + 388.29, + 324.08 + ] + } + ] + }, + { + "text": "d", + "bbox_points": [ + 377.12, + 320.1, + 380.32, + 325.7 + ], + "words": [ + { + "text": "d", + "bbox_points": [ + 377.12, + 320.1, + 380.32, + 325.7 + ] + } + ] + }, + { + "text": "d0:4", + "bbox_points": [ + 388.8, + 314.36, + 401.02, + 323.96 + ], + "words": [ + { + "text": "d0:4", + "bbox_points": [ + 388.8, + 314.36, + 401.02, + 323.96 + ] + } + ] + }, + { + "text": "50", + "bbox_points": [ + 393.34, + 320.11, + 399.52, + 325.72 + ], + "words": [ + { + "text": "50", + "bbox_points": [ + 393.34, + 320.11, + 399.52, + 325.72 + ] + } + ] + }, + { + "text": "s", + "bbox_points": [ + 401.16, + 315.79, + 407.76, + 323.79 + ], + "words": [ + { + "text": "s", + "bbox_points": [ + 401.16, + 315.79, + 407.76, + 323.79 + ] + } + ] + }, + { + "text": "g", + "bbox_points": [ + 406.43, + 320.04, + 409.05, + 325.64 + ], + "words": [ + { + "text": "g", + "bbox_points": [ + 406.43, + 320.04, + 409.05, + 325.64 + ] + } + ] + }, + { + "text": ")", + "bbox_points": [ + 418.9, + 316.07, + 421.65, + 324.08 + ], + "words": [ + { + "text": ")", + "bbox_points": [ + 418.9, + 316.07, + 421.65, + 324.08 + ] + } + ] + }, + { + "text": "d", + "bbox_points": [ + 329.84, + 321.41, + 334.42, + 329.41 + ], + "words": [ + { + "text": "d", + "bbox_points": [ + 329.84, + 321.41, + 334.42, + 329.41 + ] + } + ] + }, + { + "text": "2 Lim & Lim (1995) ds", + "bbox_points": [ + 162.48, + 331.1, + 336.99, + 339.76 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 162.48, + 331.26, + 166.9, + 339.28 + ] + }, + { + "text": "Lim", + "bbox_points": [ + 197.63, + 331.26, + 212.29, + 339.28 + ] + }, + { + "text": "&", + "bbox_points": [ + 214.64, + 331.26, + 221.97, + 339.28 + ] + }, + { + "text": "Lim", + "bbox_points": [ + 224.33, + 331.26, + 238.99, + 339.28 + ] + }, + { + "text": "(1995)", + "bbox_points": [ + 241.34, + 331.26, + 264.49, + 339.28 + ] + }, + { + "text": "ds", + "bbox_points": [ + 330.01, + 331.1, + 336.99, + 339.76 + ] + } + ] + }, + { + "text": "¼ 0:45Fd", + "bbox_points": [ + 339.93, + 336.37, + 371.42, + 345.43 + ], + "words": [ + { + "text": "¼", + "bbox_points": [ + 339.93, + 336.37, + 346.09, + 344.37 + ] + }, + { + "text": "0:45Fd", + "bbox_points": [ + 348.26, + 336.37, + 371.42, + 345.43 + ] + } + ] + }, + { + "text": "d", + "bbox_points": [ + 329.84, + 342.04, + 334.42, + 350.04 + ], + "words": [ + { + "text": "d", + "bbox_points": [ + 329.84, + 342.04, + 334.42, + 350.04 + ] + } + ] + }, + { + "text": "3 Liriano (1999) ds", + "bbox_points": [ + 162.48, + 351.74, + 336.99, + 360.39 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 162.48, + 351.84, + 166.9, + 359.85 + ] + }, + { + "text": "Liriano", + "bbox_points": [ + 197.63, + 351.84, + 224.25, + 359.85 + ] + }, + { + "text": "(1999)", + "bbox_points": [ + 226.6, + 351.84, + 249.75, + 359.85 + ] + }, + { + "text": "ds", + "bbox_points": [ + 330.01, + 351.74, + 336.99, + 360.39 + ] + } + ] + }, + { + "text": "¼ aln(Fd) þ b", + "bbox_points": [ + 339.93, + 357.0, + 387.38, + 366.06 + ], + "words": [ + { + "text": "¼", + "bbox_points": [ + 339.93, + 357.0, + 346.09, + 365.0 + ] + }, + { + "text": "aln(Fd)", + "bbox_points": [ + 348.26, + 357.18, + 373.23, + 366.06 + ] + }, + { + "text": "þ", + "bbox_points": [ + 375.02, + 357.0, + 381.18, + 365.0 + ] + }, + { + "text": "b", + "bbox_points": [ + 382.96, + 357.18, + 387.38, + 365.18 + ] + } + ] + }, + { + "text": "d", + "bbox_points": [ + 329.84, + 362.62, + 334.42, + 370.62 + ], + "words": [ + { + "text": "d", + "bbox_points": [ + 329.84, + 362.62, + 334.42, + 370.62 + ] + } + ] + }, + { + "text": "4 Sarathi et al. (2008) dsm ht", + "bbox_points": [ + 162.48, + 372.32, + 440.32, + 380.97 + ], + "words": [ + { + "text": "4", + "bbox_points": [ + 162.48, + 372.47, + 166.9, + 380.49 + ] + }, + { + "text": "Sarathi", + "bbox_points": [ + 197.63, + 372.47, + 223.15, + 380.49 + ] + }, + { + "text": "et", + "bbox_points": [ + 225.52, + 372.37, + 231.84, + 380.37 + ] + }, + { + "text": "al.", + "bbox_points": [ + 234.25, + 372.37, + 243.17, + 380.37 + ] + }, + { + "text": "(2008)", + "bbox_points": [ + 245.54, + 372.47, + 268.69, + 380.49 + ] + }, + { + "text": "dsm", + "bbox_points": [ + 329.84, + 372.32, + 341.67, + 380.97 + ] + }, + { + "text": "ht", + "bbox_points": [ + 433.81, + 372.32, + 440.32, + 380.97 + ] + } + ] + }, + { + "text": "¼ aln(Fd b) 0:5 3", + "bbox_points": [ + 344.41, + 377.58, + 456.26, + 386.64 + ], + "words": [ + { + "text": "¼", + "bbox_points": [ + 344.41, + 377.58, + 350.57, + 385.58 + ] + }, + { + "text": "aln(Fd", + "bbox_points": [ + 352.74, + 377.76, + 374.48, + 386.64 + ] + }, + { + "text": "b)", + "bbox_points": [ + 384.66, + 377.76, + 391.83, + 385.88 + ] + }, + { + "text": "0:5", + "bbox_points": [ + 411.82, + 377.58, + 422.81, + 385.88 + ] + }, + { + "text": "3", + "bbox_points": [ + 451.84, + 377.86, + 456.26, + 385.88 + ] + } + ] + }, + { + "text": "d d", + "bbox_points": [ + 332.05, + 383.26, + 437.94, + 391.26 + ], + "words": [ + { + "text": "d", + "bbox_points": [ + 332.05, + 383.26, + 336.63, + 391.26 + ] + }, + { + "text": "d", + "bbox_points": [ + 433.36, + 383.26, + 437.94, + 391.26 + ] + } + ] + }, + { + "text": "ht", + "bbox_points": [ + 376.1, + 392.95, + 382.61, + 401.61 + ], + "words": [ + { + "text": "ht", + "bbox_points": [ + 376.1, + 392.95, + 382.61, + 401.61 + ] + } + ] + }, + { + "text": "a ¼ 0:66 þ 2:34", + "bbox_points": [ + 337.83, + 398.22, + 408.63, + 406.51 + ], + "words": [ + { + "text": "a", + "bbox_points": [ + 337.83, + 398.4, + 342.25, + 406.4 + ] + }, + { + "text": "¼", + "bbox_points": [ + 344.47, + 398.22, + 350.63, + 406.22 + ] + }, + { + "text": "0:66", + "bbox_points": [ + 358.98, + 398.22, + 374.39, + 406.51 + ] + }, + { + "text": "þ", + "bbox_points": [ + 385.29, + 398.22, + 391.44, + 406.22 + ] + }, + { + "text": "2:34", + "bbox_points": [ + 393.22, + 398.22, + 408.63, + 406.51 + ] + } + ] + }, + { + "text": "d", + "bbox_points": [ + 375.65, + 403.84, + 380.22, + 411.84 + ], + "words": [ + { + "text": "d", + "bbox_points": [ + 375.65, + 403.84, + 380.22, + 411.84 + ] + } + ] + }, + { + "text": "ht", + "bbox_points": [ + 369.92, + 413.53, + 376.49, + 422.19 + ], + "words": [ + { + "text": "ht", + "bbox_points": [ + 369.92, + 413.53, + 376.49, + 422.19 + ] + } + ] + }, + { + "text": "b ¼ 1:31 1:73", + "bbox_points": [ + 337.83, + 418.8, + 402.45, + 427.09 + ], + "words": [ + { + "text": "b", + "bbox_points": [ + 337.83, + 418.98, + 342.25, + 426.98 + ] + }, + { + "text": "¼", + "bbox_points": [ + 344.47, + 418.8, + 350.63, + 426.8 + ] + }, + { + "text": "1:31", + "bbox_points": [ + 352.8, + 418.8, + 368.21, + 427.09 + ] + }, + { + "text": "1:73", + "bbox_points": [ + 387.1, + 418.8, + 402.45, + 427.09 + ] + } + ] + }, + { + "text": "d", + "bbox_points": [ + 369.52, + 424.47, + 374.1, + 432.47 + ], + "words": [ + { + "text": "d", + "bbox_points": [ + 369.52, + 424.47, + 374.1, + 432.47 + ] + } + ] + }, + { + "text": "5 Emami & Schleiss (2010) dsm", + "bbox_points": [ + 162.48, + 434.17, + 341.67, + 442.83 + ], + "words": [ + { + "text": "5", + "bbox_points": [ + 162.48, + 434.27, + 166.9, + 442.29 + ] + }, + { + "text": "Emami", + "bbox_points": [ + 197.63, + 434.27, + 223.62, + 442.29 + ] + }, + { + "text": "&", + "bbox_points": [ + 225.92, + 434.27, + 233.25, + 442.29 + ] + }, + { + "text": "Schleiss", + "bbox_points": [ + 235.62, + 434.27, + 264.42, + 442.29 + ] + }, + { + "text": "(2010)", + "bbox_points": [ + 266.8, + 434.27, + 289.95, + 442.29 + ] + }, + { + "text": "dsm", + "bbox_points": [ + 329.84, + 434.17, + 341.67, + 442.83 + ] + } + ] + }, + { + "text": "¼ aln(Fd)", + "bbox_points": [ + 344.41, + 439.43, + 377.71, + 448.5 + ], + "words": [ + { + "text": "¼", + "bbox_points": [ + 344.41, + 439.43, + 350.57, + 447.43 + ] + }, + { + "text": "aln(Fd)", + "bbox_points": [ + 352.74, + 439.61, + 377.71, + 448.5 + ] + } + ] + }, + { + "text": "d", + "bbox_points": [ + 332.05, + 445.05, + 336.63, + 453.05 + ], + "words": [ + { + "text": "d", + "bbox_points": [ + 332.05, + 445.05, + 336.63, + 453.05 + ] + } + ] + }, + { + "text": "ht", + "bbox_points": [ + 371.68, + 454.75, + 378.24, + 463.41 + ], + "words": [ + { + "text": "ht", + "bbox_points": [ + 371.68, + 454.75, + 378.24, + 463.41 + ] + } + ] + }, + { + "text": "a ¼ 0:6 þ 1:80", + "bbox_points": [ + 337.83, + 460.01, + 404.21, + 468.31 + ], + "words": [ + { + "text": "a", + "bbox_points": [ + 337.83, + 460.19, + 342.25, + 468.19 + ] + }, + { + "text": "¼", + "bbox_points": [ + 344.47, + 460.01, + 350.63, + 468.01 + ] + }, + { + "text": "0:6", + "bbox_points": [ + 358.98, + 460.01, + 369.97, + 468.31 + ] + }, + { + "text": "þ", + "bbox_points": [ + 380.92, + 460.01, + 387.08, + 468.01 + ] + }, + { + "text": "1:80", + "bbox_points": [ + 388.8, + 460.01, + 404.21, + 468.31 + ] + } + ] + }, + { + "text": "d", + "bbox_points": [ + 371.28, + 465.69, + 375.86, + 473.69 + ], + "words": [ + { + "text": "d", + "bbox_points": [ + 371.28, + 465.69, + 375.86, + 473.69 + ] + } + ] + }, + { + "text": "ht", + "bbox_points": [ + 369.92, + 475.38, + 376.49, + 484.04 + ], + "words": [ + { + "text": "ht", + "bbox_points": [ + 369.92, + 475.38, + 376.49, + 484.04 + ] + } + ] + }, + { + "text": "b ¼ 1:23 2:25", + "bbox_points": [ + 337.83, + 480.65, + 402.45, + 488.95 + ], + "words": [ + { + "text": "b", + "bbox_points": [ + 337.83, + 480.83, + 342.25, + 488.83 + ] + }, + { + "text": "¼", + "bbox_points": [ + 344.47, + 480.65, + 350.63, + 488.65 + ] + }, + { + "text": "1:23", + "bbox_points": [ + 352.8, + 480.65, + 368.21, + 488.95 + ] + }, + { + "text": "2:25", + "bbox_points": [ + 387.1, + 480.65, + 402.45, + 488.94 + ] + } + ] + }, + { + "text": "d", + "bbox_points": [ + 369.52, + 486.27, + 374.1, + 494.27 + ], + "words": [ + { + "text": "d", + "bbox_points": [ + 369.52, + 486.27, + 374.1, + 494.27 + ] + } + ] + }, + { + "text": "2 3", + "bbox_points": [ + 348.26, + 490.06, + 398.64, + 498.06 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 348.26, + 490.06, + 353.51, + 498.06 + ] + }, + { + "text": "3", + "bbox_points": [ + 393.39, + 490.06, + 398.64, + 498.06 + ] + } + ] + }, + { + "text": "6 Azamathulla & Haque (2012)", + "bbox_points": [ + 162.48, + 496.12, + 305.14, + 504.14 + ], + "words": [ + { + "text": "6", + "bbox_points": [ + 162.48, + 496.12, + 166.9, + 504.14 + ] + }, + { + "text": "Azamathulla", + "bbox_points": [ + 197.63, + 496.12, + 243.4, + 504.14 + ] + }, + { + "text": "&", + "bbox_points": [ + 245.76, + 496.12, + 253.09, + 504.14 + ] + }, + { + "text": "Haque", + "bbox_points": [ + 255.51, + 496.12, + 279.67, + 504.14 + ] + }, + { + "text": 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the Noakhali Pou/figure_02.txt @@ -0,0 +1 @@ +SFD for Noakhali Pourashava. 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Reported the poor performance of DeWATs Covers only Kathmandu Valley with few Bartaula (2016)", + "bbox_points": [ + 70.87, + 549.12, + 486.33, + 557.14 + ], + "words": [ + { + "text": "8.", + "bbox_points": [ + 70.87, + 549.12, + 77.28, + 557.14 + ] + }, + { + "text": "Reported", + "bbox_points": [ + 91.95, + 549.12, + 124.86, + 557.14 + ] + }, + { + "text": "the", + "bbox_points": [ + 127.22, + 549.12, + 138.54, + 557.14 + ] + }, + { + "text": "poor", + "bbox_points": [ + 140.88, + 549.12, + 157.77, + 557.14 + ] + }, + { + "text": "performance", + "bbox_points": [ + 160.16, + 549.12, + 205.95, + 557.14 + ] + }, + { + "text": "of", + "bbox_points": [ + 208.35, + 549.12, + 215.42, + 557.14 + ] + }, + { + "text": "DeWATs", + "bbox_points": [ + 217.81, + 549.12, + 249.95, + 557.14 + ] + }, + { + "text": "Covers", + "bbox_points": [ + 268.61, + 549.12, + 293.04, + 557.14 + ] + }, + { + "text": "only", + "bbox_points": [ + 295.43, + 549.12, + 311.07, + 557.14 + ] + }, + { + "text": "Kathmandu", + "bbox_points": [ + 313.45, + 549.12, + 355.81, + 557.14 + ] + }, + { + "text": "Valley", + "bbox_points": [ + 358.13, + 549.12, + 380.61, + 557.14 + ] + }, + { + "text": "with", + "bbox_points": [ + 382.96, + 549.12, + 398.94, + 557.14 + ] + }, + { + "text": "few", + "bbox_points": [ + 401.33, + 549.12, + 413.95, + 557.14 + ] + }, + { + "text": "Bartaula", + "bbox_points": [ + 430.13, + 549.12, + 460.82, + 557.14 + ] + }, + { + "text": "(2016)", + "bbox_points": [ + 463.18, + 549.12, + 486.33, + 557.14 + ] + } + ] + }, + { + "text": "due to negligence in operation and specific treatment plants", + "bbox_points": [ + 100.0, + 559.33, + 364.42, + 567.63 + ], + "words": [ + { + "text": "due", + "bbox_points": [ + 100.0, + 559.61, + 113.16, + 567.63 + ] + }, + { + "text": "to", + "bbox_points": [ + 115.48, + 559.61, + 122.63, + 567.63 + ] + }, + { + "text": "negligence", + "bbox_points": [ + 125.06, + 559.61, + 163.11, + 567.63 + ] + }, + { + "text": "in", + "bbox_points": [ + 165.49, + 559.61, + 172.56, + 567.63 + ] + }, + { + "text": "operation", + "bbox_points": [ + 174.95, + 559.61, + 209.3, + 567.63 + ] + }, + { + "text": "and", + "bbox_points": [ + 211.69, + 559.61, + 225.17, + 567.63 + ] + }, + { + "text": "specific", + "bbox_points": [ + 276.6, + 559.33, + 303.56, + 567.63 + ] + }, + { + "text": "treatment", + "bbox_points": [ + 305.91, + 559.61, + 340.36, + 567.63 + ] + }, + { + "text": "plants", + "bbox_points": [ + 342.71, + 559.61, + 364.42, + 567.63 + ] + } + ] + }, + { + "text": "maintenance (O&M)", + "bbox_points": [ + 100.0, + 570.16, + 176.06, + 578.17 + ], + "words": [ + { + "text": "maintenance", + "bbox_points": [ + 100.0, + 570.16, + 146.37, + 578.17 + ] + }, + { + "text": "(O&M)", + "bbox_points": [ + 148.76, + 570.16, + 176.06, + 578.17 + ] + } + ] + }, + { + "text": "9. Reported the performance of the partially Poor removal of nutrients Thapa et al. (2019)", + "bbox_points": [ + 70.87, + 584.0, + 498.24, + 592.12 + ], + "words": [ + { + "text": "9.", + "bbox_points": [ + 70.87, + 584.1, + 77.28, + 592.12 + ] + }, + { + "text": "Reported", + "bbox_points": [ + 91.95, + 584.1, + 124.86, + 592.12 + ] + }, + { + "text": "the", + "bbox_points": [ + 127.22, + 584.1, + 138.54, + 592.12 + ] + }, + { + "text": "performance", + "bbox_points": [ + 140.88, + 584.1, + 186.68, + 592.12 + ] + }, + { + "text": "of", + "bbox_points": [ + 189.07, + 584.1, + 196.14, + 592.12 + ] + }, + { + "text": "the", + "bbox_points": [ + 198.54, + 584.1, + 209.86, + 592.12 + ] + }, + { + "text": "partially", + "bbox_points": [ + 212.2, + 584.1, + 241.82, + 592.12 + ] + }, + { + "text": "Poor", + "bbox_points": [ + 268.61, + 584.1, + 285.74, + 592.12 + ] + }, + { + "text": "removal", + "bbox_points": [ + 288.11, + 584.1, + 317.13, + 592.12 + ] + }, + { + "text": "of", + "bbox_points": [ + 319.52, + 584.1, + 326.59, + 592.12 + ] + }, + { + "text": "nutrients", + "bbox_points": [ + 328.99, + 584.1, + 361.02, + 592.12 + ] + }, + { + "text": "Thapa", + "bbox_points": [ + 430.13, + 584.1, + 452.77, + 592.12 + ] + }, + { + "text": "et", + "bbox_points": [ + 455.13, + 584.0, + 461.45, + 592.0 + ] + }, + { + "text": "al.", + "bbox_points": [ + 463.8, + 584.0, + 472.71, + 592.0 + ] + }, + { + "text": "(2019)", + "bbox_points": [ + 475.08, + 584.1, + 498.24, + 592.12 + ] + } + ] + }, + { + "text": "operated Guheswori wastewater treatment", + "bbox_points": [ + 100.0, + 594.65, + 252.26, + 602.66 + ], + "words": [ + { + "text": "operated", + "bbox_points": [ + 100.0, + 594.65, + 131.23, + 602.66 + ] + }, + { + "text": "Guheswori", + "bbox_points": [ + 133.62, + 594.65, + 173.31, + 602.66 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 175.75, + 594.65, + 215.47, + 602.66 + ] + }, + { + "text": "treatment", + "bbox_points": [ + 217.81, + 594.65, + 252.26, + 602.66 + ] + } + ] + }, + { + "text": "plant", + "bbox_points": [ + 100.0, + 605.14, + 118.39, + 613.15 + ], + "words": [ + { + "text": "plant", + "bbox_points": [ + 100.0, + 605.14, + 118.39, + 613.15 + ] + } + ] + }, + { + "text": "10. Compared the performance of constructed Poor removal of nutrients from both Green et al. (2003)", + "bbox_points": [ + 70.86, + 619.04, + 498.06, + 627.15 + ], + "words": [ + { + "text": "10.", + "bbox_points": [ + 70.86, + 619.14, + 81.7, + 627.15 + ] + }, + { + "text": "Compared", + "bbox_points": [ + 91.95, + 619.14, + 129.39, + 627.15 + ] + }, + { + "text": "the", + "bbox_points": [ + 131.75, + 619.14, + 143.07, + 627.15 + ] + }, + { + "text": "performance", + "bbox_points": [ + 145.47, + 619.14, + 191.27, + 627.15 + ] + }, + { + "text": "of", + "bbox_points": [ + 193.61, + 619.14, + 200.68, + 627.15 + ] + }, + { + "text": "constructed", + "bbox_points": [ + 203.07, + 619.14, + 244.98, + 627.15 + ] + }, + { + "text": "Poor", + "bbox_points": [ + 268.61, + 619.14, + 285.74, + 627.15 + ] + }, + { + "text": "removal", + "bbox_points": [ + 288.11, + 619.14, + 317.13, + 627.15 + ] + }, + { + "text": "of", + "bbox_points": [ + 319.52, + 619.14, + 326.59, + 627.15 + ] + }, + { + "text": "nutrients", + "bbox_points": [ + 328.99, + 619.14, + 361.02, + 627.15 + ] + }, + { + "text": "from", + "bbox_points": [ + 363.34, + 619.14, + 380.42, + 627.15 + ] + }, + { + "text": "both", + "bbox_points": [ + 382.79, + 619.14, + 399.1, + 627.15 + ] + }, + { + "text": "Green", + "bbox_points": [ + 430.13, + 619.14, + 452.56, + 627.15 + ] + }, + { + "text": "et", + "bbox_points": [ + 454.96, + 619.04, + 461.28, + 627.04 + ] + }, + { + "text": "al.", + "bbox_points": [ + 463.63, + 619.04, + 472.54, + 627.04 + ] + }, + { + "text": "(2003)", + "bbox_points": [ + 474.91, + 619.14, + 498.06, + 627.15 + ] + } + ] + }, + { + "text": "wetlands (CWs) and conventional treatment systems", + "bbox_points": [ + 100.0, + 629.63, + 340.45, + 637.64 + ], + "words": [ + { + "text": "wetlands", + "bbox_points": [ + 100.0, + 629.63, + 131.84, + 637.64 + ] + }, + { + "text": "(CWs)", + "bbox_points": [ + 134.19, + 629.63, + 157.08, + 637.64 + ] + }, + { + "text": "and", + "bbox_points": [ + 159.42, + 629.63, + 172.9, + 637.64 + ] + }, + { + "text": "conventional", + "bbox_points": [ + 175.29, + 629.63, + 221.95, + 637.64 + ] + }, + { + "text": "treatment", + "bbox_points": [ + 276.6, + 629.63, + 311.05, + 637.64 + ] + }, + { + "text": "systems", + "bbox_points": [ + 313.4, + 629.63, + 340.45, + 637.64 + ] + } + ] + }, + { + "text": "wastewater treatment plants.", + "bbox_points": [ + 100.0, + 640.11, + 202.58, + 648.13 + ], + "words": [ + { + "text": "wastewater", + "bbox_points": [ + 100.0, + 640.11, + 139.73, + 648.13 + ] + }, + { + "text": "treatment", + "bbox_points": [ + 142.07, + 640.11, + 176.52, + 648.13 + ] + }, + { + "text": "plants.", + "bbox_points": [ + 178.87, + 640.11, + 202.58, + 648.13 + ] + } + ] + }, + { + "text": "11. Reported the status of constructed wetlands in Poor performance due to lack of Gurung et al. (2017)", + "bbox_points": [ + 70.86, + 654.01, + 503.39, + 662.13 + ], + "words": [ + { + "text": "11.", + "bbox_points": [ + 70.86, + 654.12, + 81.7, + 662.13 + ] + }, + { + "text": "Reported", + "bbox_points": [ + 91.95, + 654.12, + 124.86, + 662.13 + ] + }, + { + "text": "the", + "bbox_points": [ + 127.22, + 654.12, + 138.54, + 662.13 + ] + }, + { + "text": "status", + "bbox_points": [ + 140.88, + 654.12, + 161.11, + 662.13 + ] + }, + { + "text": "of", + "bbox_points": [ + 163.5, + 654.12, + 170.57, + 662.13 + ] + }, + { + "text": "constructed", + "bbox_points": [ + 172.91, + 654.12, + 214.87, + 662.13 + ] + }, + { + "text": "wetlands", + "bbox_points": [ + 217.19, + 654.12, + 249.08, + 662.13 + ] + }, + { + "text": "in", + "bbox_points": [ + 251.43, + 654.12, + 258.5, + 662.13 + ] + }, + { + "text": "Poor", + "bbox_points": [ + 268.61, + 654.12, + 285.74, + 662.13 + ] + }, + { + "text": "performance", + "bbox_points": [ + 288.11, + 654.12, + 333.89, + 662.13 + ] + }, + { + "text": "due", + "bbox_points": [ + 336.3, + 654.12, + 349.45, + 662.13 + ] + }, + { + "text": "to", + "bbox_points": [ + 351.83, + 654.12, + 358.99, + 662.13 + ] + }, + { + "text": "lack", + "bbox_points": [ + 361.36, + 654.12, + 376.28, + 662.13 + ] + }, + { + "text": "of", + "bbox_points": [ + 378.48, + 654.12, + 385.55, + 662.13 + ] + }, + { + "text": "Gurung", + "bbox_points": [ + 430.13, + 654.12, + 457.93, + 662.13 + ] + }, + { + "text": "et", + "bbox_points": [ + 460.23, + 654.01, + 466.55, + 662.01 + ] + }, + { + "text": "al.", + "bbox_points": [ + 468.96, + 654.01, + 477.87, + 662.01 + ] + }, + { + "text": "(2017)", + "bbox_points": [ + 480.24, + 654.12, + 503.39, + 662.13 + ] + } + ] + }, + { + "text": "Nepal upgradation of technologies, negligence", + "bbox_points": [ + 100.0, + 664.6, + 419.08, + 672.62 + ], + "words": [ + { + "text": "Nepal", + "bbox_points": [ + 100.0, + 664.6, + 121.81, + 672.62 + ] + }, + { + "text": "upgradation", + "bbox_points": [ + 276.6, + 664.6, + 319.68, + 672.62 + ] + }, + { + "text": "of", + "bbox_points": [ + 322.07, + 664.6, + 329.14, + 672.62 + ] + }, + { + "text": "technologies,", + "bbox_points": [ + 331.54, + 664.6, + 378.64, + 672.62 + ] + }, + { + "text": "negligence", + "bbox_points": [ + 381.03, + 664.6, + 419.08, + 672.62 + ] + } + ] + }, + { + "text": "in O & M", + "bbox_points": [ + 276.6, + 675.15, + 312.69, + 683.17 + ], + "words": [ + { + "text": "in", + "bbox_points": [ + 276.6, + 675.15, + 283.67, + 683.17 + ] + }, + { + "text": "O", + "bbox_points": [ + 286.07, + 675.15, + 292.81, + 683.17 + ] + }, + { + "text": "&", + "bbox_points": [ + 295.2, + 675.15, + 302.53, + 683.17 + ] + }, + { + "text": "M", + "bbox_points": [ + 304.95, + 675.15, + 312.69, + 683.17 + ] + } + ] + }, + { + "text": "12. Initiating the implementation of CWs in Poor performance in removing nutrients Laber et al. (1999),", + "bbox_points": [ + 70.86, + 689.05, + 498.46, + 697.17 + ], + "words": [ + { + "text": "12.", + "bbox_points": [ + 70.86, + 689.15, + 81.7, + 697.17 + ] + }, + { + "text": "Initiating", + "bbox_points": [ + 91.95, + 689.15, + 124.71, + 697.17 + ] + }, + { + "text": "the", + "bbox_points": [ + 127.1, + 689.15, + 138.42, + 697.17 + ] + }, + { + "text": "implementation", + "bbox_points": [ + 140.82, + 689.15, + 197.45, + 697.17 + ] + }, + { + "text": "of", + "bbox_points": [ + 199.84, + 689.15, + 206.91, + 697.17 + ] + }, + { + "text": "CWs", + "bbox_points": [ + 209.31, + 689.15, + 226.71, + 697.17 + ] + }, + { + "text": "in", + "bbox_points": [ + 229.1, + 689.15, + 236.17, + 697.17 + ] + }, + { + "text": "Poor", + "bbox_points": [ + 268.61, + 689.15, + 285.74, + 697.17 + ] + }, + { + "text": "performance", + "bbox_points": [ + 288.11, + 689.15, + 333.89, + 697.17 + ] + }, + { + "text": "in", + "bbox_points": [ + 336.3, + 689.15, + 343.37, + 697.17 + ] + }, + { + "text": "removing", + "bbox_points": [ + 345.77, + 689.15, + 379.37, + 697.17 + ] + }, + { + "text": "nutrients", + "bbox_points": [ + 381.71, + 689.15, + 413.74, + 697.17 + ] + }, + { + "text": "Laber", + "bbox_points": [ + 430.13, + 689.15, + 451.19, + 697.17 + ] + }, + { + "text": "et", + "bbox_points": [ + 453.37, + 689.05, + 459.69, + 697.05 + ] + }, + { + "text": "al.", + "bbox_points": [ + 462.1, + 689.05, + 471.01, + 697.05 + ] + }, + { + "text": "(1999),", + "bbox_points": [ + 473.38, + 689.15, + 498.46, + 697.17 + ] + } + ] + }, + { + "text": "Nepal dealing with wastewater from (phosphorous and nitrogen) Shrestha et al. (2001)", + "bbox_points": [ + 100.0, + 699.54, + 514.73, + 707.66 + ], + "words": [ + { + "text": "Nepal", + "bbox_points": [ + 100.0, + 699.64, + 121.81, + 707.66 + ] + }, + { + "text": "dealing", + "bbox_points": [ + 124.16, + 699.64, + 150.29, + 707.66 + ] + }, + { + "text": "with", + "bbox_points": [ + 152.61, + 699.64, + 168.59, + 707.66 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 170.98, + 699.64, + 210.71, + 707.66 + ] + }, + { + "text": "from", + "bbox_points": [ + 213.11, + 699.64, + 230.13, + 707.66 + ] + }, + { + "text": "(phosphorous", + "bbox_points": [ + 276.6, + 699.64, + 326.56, + 707.66 + ] + }, + { + "text": "and", + "bbox_points": [ + 328.93, + 699.64, + 342.41, + 707.66 + ] + }, + { + "text": "nitrogen)", + "bbox_points": [ + 344.8, + 699.64, + 377.51, + 707.66 + ] + }, + { + "text": "Shrestha", + "bbox_points": [ + 438.12, + 699.64, + 469.21, + 707.66 + ] + }, + { + "text": "et", + "bbox_points": [ + 471.57, + 699.54, + 477.89, + 707.54 + ] + }, + { + "text": "al.", + "bbox_points": [ + 480.3, + 699.54, + 489.21, + 707.54 + ] + }, + { + "text": "(2001)", + "bbox_points": [ + 491.58, + 699.64, + 514.73, + 707.66 + ] + } + ] + }, + { + "text": "different sources (Hospital, domestic) and Singh et al. (2009)", + "bbox_points": [ + 100.0, + 710.03, + 520.06, + 718.14 + ], + "words": [ + { + "text": "different", + "bbox_points": [ + 100.0, + 710.13, + 130.15, + 718.14 + ] + }, + { + "text": "sources", + "bbox_points": [ + 132.55, + 710.13, + 159.29, + 718.14 + ] + }, + { + "text": "(Hospital,", + "bbox_points": [ + 161.69, + 710.13, + 197.3, + 718.14 + ] + }, + { + "text": "domestic)", + "bbox_points": [ + 199.61, + 710.13, + 234.56, + 718.14 + ] + }, + { + "text": "and", + "bbox_points": [ + 438.12, + 710.13, + 451.6, + 718.14 + ] + }, + { + "text": "Singh", + "bbox_points": [ + 453.99, + 710.13, + 474.55, + 718.14 + ] + }, + { + "text": "et", + "bbox_points": [ + 476.9, + 710.03, + 483.22, + 718.03 + ] + }, + { + "text": "al.", + "bbox_points": [ + 485.57, + 710.03, + 494.48, + 718.03 + ] + }, + { + "text": "(2009)", + "bbox_points": [ + 496.91, + 710.13, + 520.06, + 718.14 + ] + } + ] + }, + { + "text": "13. 30% of CWs functional out of 23 CW-units Issues related to public awareness, Boukalová et al. (2021)", + "bbox_points": [ + 70.86, + 724.04, + 514.11, + 732.16 + ], + "words": [ + { + "text": "13.", + "bbox_points": [ + 70.86, + 724.13, + 81.7, + 732.15 + ] + }, + { + "text": "30%", + "bbox_points": [ + 91.95, + 724.13, + 107.79, + 732.15 + ] + }, + { + "text": "of", + "bbox_points": [ + 110.15, + 724.13, + 117.22, + 732.15 + ] + }, + { + "text": "CWs", + "bbox_points": [ + 119.62, + 724.13, + 137.02, + 732.15 + ] + }, + { + "text": "functional", + "bbox_points": [ + 139.41, + 724.13, + 175.85, + 732.15 + ] + }, + { + "text": "out", + "bbox_points": [ + 178.24, + 724.13, + 189.97, + 732.15 + ] + }, + { + "text": "of", + "bbox_points": [ + 192.36, + 724.13, + 199.43, + 732.15 + ] + }, + { + "text": "23", + "bbox_points": [ + 201.83, + 724.13, + 210.66, + 732.15 + ] + }, + { + "text": "CW-units", + "bbox_points": [ + 213.05, + 724.13, + 246.66, + 732.15 + ] + }, + { + "text": "Issues", + "bbox_points": [ + 268.61, + 724.13, + 290.33, + 732.15 + ] + }, + { + "text": "related", + 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2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_02.txt" @@ -0,0 +1 @@ +From 1981 to 2022 at the Siirt, Batman, and Cizre stations. Annual series of precipitation (red bars), minimum daily Tmin (black bars), and maximum daily Tmax (blue bars). diff --git "a/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_03.jpg" "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..4521f02a487fa1a43869a2634969b765b09b8922 --- /dev/null +++ "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ac265369e1c5a766fbabc2cccc2c0d0813cd512e806ffe3e43393cbd0f42c2b0 +size 97654 diff --git "a/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_03.txt" "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..0bb225dacf24d10085e3b147fae6381e255d30c1 --- /dev/null +++ "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_03.txt" @@ -0,0 +1 @@ +Climatic conditions at the stations in Siirt, Cizre, and Batman, each spanning 31 hydrological years. diff --git "a/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04.jpg" "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..6786901b6cc1e906440d9d170f4a8873483a76f8 --- /dev/null +++ "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:007aaf270413ab02c0dcc2611e0340daa73c22d4ab914a7492c04543849ee4b0 +size 183425 diff --git "a/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04.txt" "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..9023203804e1252267d560872a18ee73748e655b --- /dev/null +++ "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04.txt" @@ -0,0 +1 @@ +Trend results in precipitation via ITA. (continued) diff --git "a/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04_part_2.jpg" "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04_part_2.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..2c2a4e421fbebbd8e39600aa9aee8243fd1280d7 --- /dev/null +++ "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04_part_2.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:354525eabd10bf8ef2b59012acd7f9f7eedc4a80b6bd3d6f166033b4261dff8c +size 102473 diff --git "a/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04_part_2.txt" "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04_part_2.txt" new file mode 100644 index 0000000000000000000000000000000000000000..70ebde268372f185331d1cce06fd85c671e96946 --- /dev/null +++ "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_04_part_2.txt" @@ -0,0 +1 @@ +Continued diff --git "a/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_05.jpg" "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..283a350a62602e7df61082a4cdc1a2b161bfd164 --- /dev/null +++ "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:51a7241f25daf7eb84b42d2cacacff21562d30913d2d266b2102bb0c48068282 +size 142027 diff --git "a/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_05.txt" "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..bc5040bf6814d49bbec45384c01f61617f8da087 --- /dev/null +++ "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_05.txt" @@ -0,0 +1 @@ +Annual precipitations for 30 meteorological years. (continued) diff --git "a/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_05_part_2.jpg" "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_05_part_2.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..c374396fb5bef811839f8f594cabd682339d2e65 --- /dev/null +++ "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_05_part_2.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62c3d199c0530a46cff8e3b88e90d3fb5f5ce98ef0ec34088a8853b055753f33 +size 71949 diff --git "a/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_05_part_2.txt" "b/Figures/Kartal et al. - 2024 - Climate change trends in the Southeastern Anatolia region of T\303\274rkiye precipitation and drought/figure_05_part_2.txt" new file mode 100644 index 0000000000000000000000000000000000000000..70ebde268372f185331d1cce06fd85c671e96946 --- /dev/null +++ "b/Figures/Kartal et al. - 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"per", + "bbox_points": [ + 323.43, + 295.37, + 333.8, + 301.37 + ] + }, + { + "text": "month)", + "bbox_points": [ + 335.79, + 295.37, + 358.21, + 301.37 + ] + }, + { + "text": "(m3", + "bbox_points": [ + 467.6, + 294.1, + 478.11, + 301.37 + ] + }, + { + "text": "per", + "bbox_points": [ + 480.13, + 295.37, + 490.5, + 301.37 + ] + }, + { + "text": "month)", + "bbox_points": [ + 492.49, + 295.37, + 514.91, + 301.37 + ] + } + ] + }, + { + "text": "Months h YR,t YR,t", + "bbox_points": [ + 43.43, + 304.35, + 478.24, + 310.91 + ], + "words": [ + { + "text": "Months", + "bbox_points": [ + 43.43, + 304.38, + 67.22, + 310.38 + ] + }, + { + "text": "h", + "bbox_points": [ + 153.58, + 304.35, + 157.58, + 310.35 + ] + }, + { + "text": "YR,t", + "bbox_points": [ + 303.36, + 304.35, + 314.0, + 310.91 + ] + }, + { + "text": "YR,t", + "bbox_points": [ + 467.6, + 304.35, + 478.24, + 310.91 + ] + } + ] + }, + { + "text": "Jan 63.10 1,412,196.93 1,412.20", + "bbox_points": [ + 43.43, + 319.52, + 497.98, + 327.54 + ], + "words": [ + { + "text": "Jan", + "bbox_points": [ + 43.43, + 319.52, + 55.07, + 327.54 + ] + }, + { + "text": "63.10", + "bbox_points": [ + 153.58, + 319.52, + 173.24, + 327.54 + ] + }, + { + "text": "1,412,196.93", + "bbox_points": [ + 303.36, + 319.52, + 348.99, + 327.54 + ] + }, + { + "text": "1,412.20", + "bbox_points": [ + 467.6, + 319.52, + 497.98, + 327.54 + ] + } + ] + }, + { + "text": "Feb 48.20 1,078,730.46 1,078.73", + "bbox_points": [ + 43.43, + 333.53, + 497.98, + 341.54 + ], + "words": [ + { + "text": "Feb", + "bbox_points": [ + 43.43, + 333.53, + 56.43, + 341.54 + ] + }, + { + "text": "48.20", + "bbox_points": [ + 153.58, + 333.53, + 173.24, + 341.54 + ] + }, + { + "text": "1,078,730.46", + "bbox_points": [ + 303.36, + 333.53, + 348.99, + 341.54 + ] + }, + { + "text": "1,078.73", + "bbox_points": [ + 467.6, + 333.53, + 497.98, + 341.54 + ] + } + ] + }, + { + "text": "Mar 41.40 926,544.42 926.54", + "bbox_points": [ + 43.43, + 347.53, + 491.68, + 355.55 + ], + "words": [ + { + "text": "Mar", + "bbox_points": [ + 43.43, + 347.53, + 58.49, + 355.55 + ] + }, + { + "text": "41.40", + "bbox_points": [ + 153.58, + 347.53, + 173.24, + 355.55 + ] + }, + { + "text": "926,544.42", + "bbox_points": [ + 303.36, + 347.53, + 342.69, + 355.55 + ] + }, + { + "text": "926.54", + "bbox_points": [ + 467.6, + 347.53, + 491.68, + 355.55 + ] + } + ] + }, + { + "text": "Apr 42.00 939,972.60 939.97", + "bbox_points": [ + 43.43, + 361.48, + 491.68, + 369.49 + ], + "words": [ + { + "text": "Apr", + "bbox_points": [ + 43.43, + 361.48, + 57.16, + 369.49 + ] + }, + { + "text": "42.00", + "bbox_points": [ + 153.58, + 361.48, + 173.24, + 369.49 + ] + }, + { + "text": "939,972.60", + "bbox_points": [ + 303.36, + 361.48, + 342.69, + 369.49 + ] + }, + { + "text": "939.97", + "bbox_points": [ + 467.6, + 361.48, + 491.68, + 369.49 + ] + } + ] + }, + { + "text": "May 75.50 1,689,712.65 1,689.71", + "bbox_points": [ + 43.43, + 375.48, + 497.98, + 383.5 + ], + "words": [ + { + "text": "May", + "bbox_points": [ + 43.43, + 375.48, + 59.16, + 383.5 + ] + }, + { + "text": "75.50", + "bbox_points": [ + 153.58, + 375.48, + 173.24, + 383.5 + ] + }, + { + "text": "1,689,712.65", + "bbox_points": [ + 303.36, + 375.48, + 348.99, + 383.5 + ] + }, + { + "text": "1,689.71", + "bbox_points": [ + 467.6, + 375.48, + 497.98, + 383.5 + ] + } + ] + }, + { + "text": "Jun 72.40 1,620,333.72 1,620.33", + "bbox_points": [ + 43.43, + 389.48, + 497.98, + 397.5 + ], + "words": [ + { + "text": "Jun", + "bbox_points": [ + 43.43, + 389.48, + 55.49, + 397.5 + ] + }, + { + "text": "72.40", + "bbox_points": [ + 153.58, + 389.48, + 173.24, + 397.5 + ] + }, + { + "text": "1,620,333.72", + "bbox_points": [ + 303.36, + 389.48, + 348.99, + 397.5 + ] + }, + { + "text": "1,620.33", + "bbox_points": [ + 467.6, + 389.48, + 497.98, + 397.5 + ] + } + ] + }, + { + "text": "Jul 60.00 1,342,818.00 1,342.82", + "bbox_points": [ + 43.43, + 403.49, + 497.98, + 411.5 + ], + "words": [ + { + "text": "Jul", + "bbox_points": [ + 43.43, + 403.49, + 53.07, + 411.5 + ] + }, + { + "text": "60.00", + "bbox_points": [ + 153.58, + 403.49, + 173.24, + 411.5 + ] + }, + { + "text": "1,342,818.00", + "bbox_points": [ + 303.36, + 403.49, + 348.99, + 411.5 + ] + }, + { + "text": "1,342.82", + "bbox_points": [ + 467.6, + 403.49, + 497.98, + 411.5 + ] + } + ] + }, + { + "text": "Aug 55.90 1,251,058.77 1,251.06", + "bbox_points": [ + 43.43, + 417.49, + 497.98, + 425.5 + ], + "words": [ + { + "text": "Aug", + "bbox_points": [ + 43.43, + 417.49, + 58.0, + 425.5 + ] + }, + { + "text": "55.90", + "bbox_points": [ + 153.58, + 417.49, + 173.24, + 425.5 + ] + }, + { + "text": "1,251,058.77", + "bbox_points": [ + 303.36, + 417.49, + 348.99, + 425.5 + ] + }, + { + "text": "1,251.06", + "bbox_points": [ + 467.6, + 417.49, + 497.98, + 425.5 + ] + } + ] + }, + { + "text": "Sep 66.30 1,483,813.89 1,483.81", + "bbox_points": [ + 43.43, + 431.49, + 497.98, + 439.51 + ], + "words": [ + { + "text": "Sep", + "bbox_points": [ + 43.43, + 431.49, + 56.75, + 439.51 + ] + }, + { + "text": "66.30", + "bbox_points": [ + 153.58, + 431.49, + 173.24, + 439.51 + ] + }, + { + "text": "1,483,813.89", + "bbox_points": [ + 303.36, + 431.49, + 348.99, + 439.51 + ] + }, + { + "text": "1,483.81", + "bbox_points": [ + 467.6, + 431.49, + 497.98, + 439.51 + ] + } + ] + }, + { + "text": "Oct 66.10 1,479,337.83 1,479.34", + "bbox_points": [ + 43.43, + 445.49, + 497.98, + 453.51 + ], + "words": [ + { + "text": "Oct", + "bbox_points": [ + 43.43, + 445.49, + 56.75, + 453.51 + ] + }, + { + "text": "66.10", + "bbox_points": [ + 153.58, + 445.49, + 173.24, + 453.51 + ] + }, + { + "text": "1,479,337.83", + "bbox_points": [ + 303.36, + 445.49, + 348.99, + 453.51 + ] + }, + { + "text": "1,479.34", + "bbox_points": [ + 467.6, + 445.49, + 497.98, + 453.51 + ] + } + ] + }, + { + "text": "Nov 61.70 1,380,864.51 1,380.86", + "bbox_points": [ + 43.43, + 459.5, + 497.98, + 467.51 + ], + "words": [ + { + "text": "Nov", + "bbox_points": [ + 43.43, + 459.5, + 58.76, + 467.51 + ] + }, + { + "text": "61.70", + "bbox_points": [ + 153.58, + 459.5, + 173.24, + 467.51 + ] + }, + { + "text": "1,380,864.51", + "bbox_points": [ + 303.36, + 459.5, + 348.99, + 467.51 + ] + }, + { + "text": "1,380.86", + "bbox_points": [ + 467.6, + 459.5, + 497.98, + 467.51 + ] + } + ] + }, + { + "text": "Dec 63.10 1,412,196.93 1,412.20", + "bbox_points": [ + 43.43, + 473.5, + 497.98, + 481.52 + ], + "words": [ + { + "text": "Dec", + "bbox_points": [ + 43.43, + 473.5, + 58.0, + 481.52 + ] + }, + { + "text": "63.10", + "bbox_points": [ + 153.58, + 473.5, + 173.24, + 481.52 + ] + }, + { + "text": "1,412,196.93", + "bbox_points": [ + 303.36, + 473.5, + 348.99, + 481.52 + ] + }, + { + "text": "1,412.20", + "bbox_points": [ + 467.6, + 473.5, + 497.98, + 481.52 + ] + } + ] + }, + { + "text": "Total 16,017.58", + "bbox_points": [ + 303.36, + 487.5, + 502.4, + 495.52 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 303.36, + 487.5, + 321.82, + 495.52 + ] + }, + { + "text": "16,017.58", + "bbox_points": [ + 467.6, + 487.5, + 502.4, + 495.52 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_03.txt b/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..760632fe12143d9f05066c85861bc476184b1800 --- /dev/null +++ b/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_03.txt @@ -0,0 +1 @@ +The harvestable rainfall yield for the residential buildings in Bahnstadt diff --git a/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_04.jpg b/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..aa7f65e0c5681c7e6f142800b0cdc444497783f7 --- /dev/null +++ b/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5da05a34c0b72db36da067fc26c0419ef1b6d663ccbefb5d657e1f2d0eb0beb0 +size 36189 diff --git a/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_04.json b/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_04.json new file mode 100644 index 0000000000000000000000000000000000000000..dd519eab5d632f84b762b93ed420ee4d75ad2a8d --- /dev/null +++ b/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_04.json @@ -0,0 +1,455 @@ +{ + "kind": "table", + "label": "table_04", + "number": 4, + "caption": "Non-potable water demand for residential buildings in Bahnstadt", + "page": 7, + "table_bbox_points": [ + 40.43, + 535.13, + 548.44, + 638.98 + ], + "caption_bbox_points": [ + 43.43, + 526.96, + 315.92, + 535.13 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 6, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Non-potable water demand Value Unit", + "bbox_points": [ + 43.43, + 549.75, + 517.49, + 555.75 + ], + "words": [ + { + "text": "Non-potable", + "bbox_points": [ + 43.43, + 549.75, + 81.52, + 555.75 + ] + }, + { + "text": "water", + "bbox_points": [ + 83.45, + 549.75, + 101.83, + 555.75 + ] + }, + { + "text": "demand", + "bbox_points": [ + 103.86, + 549.75, + 129.1, + 555.75 + ] + }, + { + "text": "Value", + "bbox_points": [ + 349.68, + 549.75, + 366.98, + 555.75 + ] + }, + { + "text": "Unit", + "bbox_points": [ + 504.57, + 549.75, + 517.49, + 555.75 + ] + } + ] + }, + { + "text": "Bahnstadt’s population 5,700 Inhabitants", + "bbox_points": [ + 43.43, + 564.61, + 545.5, + 572.91 + ], + "words": [ + { + "text": "Bahnstadt’s", + "bbox_points": [ + 43.43, + 564.61, + 84.85, + 572.91 + ] + }, + { + "text": "population", + "bbox_points": [ + 87.19, + 564.89, + 126.02, + 572.91 + ] + }, + { + "text": "5,700", + "bbox_points": [ + 349.68, + 564.89, + 369.35, + 572.91 + ] + }, + { + "text": "Inhabitants", + "bbox_points": [ + 504.57, + 564.89, + 545.5, + 572.91 + ] + } + ] + }, + { + "text": "Daily water consumption per capita 40 LPD", + "bbox_points": [ + 43.43, + 578.89, + 521.47, + 586.91 + ], + "words": [ + { + "text": "Daily", + "bbox_points": [ + 43.43, + 578.89, + 62.82, + 586.91 + ] + }, + { + "text": "water", + "bbox_points": [ + 65.2, + 578.89, + 85.08, + 586.91 + ] + }, + { + "text": "consumption", + "bbox_points": [ + 87.31, + 578.89, + 134.23, + 586.91 + ] + }, + { + "text": "per", + "bbox_points": [ + 136.63, + 578.89, + 148.37, + 586.91 + ] + }, + { + "text": "capita", + "bbox_points": [ + 150.58, + 578.89, + 172.38, + 586.91 + ] + }, + { + "text": "40", + "bbox_points": [ + 349.68, + 578.89, + 358.51, + 586.91 + ] + }, + { + "text": "LPD", + "bbox_points": [ + 504.57, + 578.89, + 521.47, + 586.91 + ] + } + ] + }, + { + "text": "Total daily non-potable water demand (DN,d) 228 m3/day", + "bbox_points": [ + 43.43, + 591.37, + 531.02, + 601.58 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 592.9, + 61.89, + 600.91 + ] + }, + { + "text": "daily", + "bbox_points": [ + 64.29, + 592.9, + 81.68, + 600.91 + ] + }, + { + "text": "non-potable", + "bbox_points": [ + 84.08, + 592.9, + 126.77, + 600.91 + ] + }, + { + "text": "water", + "bbox_points": [ + 128.98, + 592.9, + 148.86, + 600.91 + ] + }, + { + "text": "demand", + "bbox_points": [ + 151.26, + 592.9, + 180.21, + 600.91 + ] + }, + { + "text": "(DN,d)", + "bbox_points": [ + 182.61, + 592.8, + 204.4, + 601.58 + ] + }, + { + "text": "228", + "bbox_points": [ + 349.68, + 592.9, + 362.93, + 600.91 + ] + }, + { + "text": "m3/day", + "bbox_points": [ + 504.57, + 591.37, + 531.02, + 600.91 + ] + } + ] + }, + { + "text": "Total monthly non-potable water demand (DN,m) 7,068 m3/month", + "bbox_points": [ + 43.43, + 605.37, + 542.1, + 615.58 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 606.9, + 61.89, + 614.92 + ] + }, + { + "text": "monthly", + "bbox_points": [ + 64.29, + 606.9, + 94.26, + 614.92 + ] + }, + { + "text": "non-potable", + "bbox_points": [ + 96.61, + 606.9, + 139.38, + 614.92 + ] + }, + { + "text": "water", + "bbox_points": [ + 141.51, + 606.9, + 161.39, + 614.92 + ] + }, + { + "text": "demand", + "bbox_points": [ + 163.79, + 606.9, + 192.84, + 614.92 + ] + }, + { + "text": "(DN,m)", + "bbox_points": [ + 195.2, + 606.8, + 218.8, + 615.58 + ] + }, + { + "text": "7,068", + "bbox_points": [ + 349.68, + 606.9, + 369.35, + 614.92 + ] + }, + { + "text": "m3/month", + "bbox_points": [ + 504.57, + 605.37, + 542.1, + 614.92 + ] + } + ] + }, + { + "text": "Total annual non-potable water demand (DN,a) 83,220 m3/year", + "bbox_points": [ + 43.43, + 619.37, + 533.58, + 629.59 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 620.9, + 61.89, + 628.92 + ] + }, + { + "text": "annual", + "bbox_points": [ + 64.29, + 620.9, + 89.0, + 628.92 + ] + }, + { + "text": "non-potable", + "bbox_points": [ + 91.39, + 620.9, + 134.08, + 628.92 + ] + }, + { + "text": "water", + "bbox_points": [ + 136.29, + 620.9, + 156.18, + 628.92 + ] + }, + { + "text": "demand", + "bbox_points": [ + 158.57, + 620.9, + 187.53, + 628.92 + ] + }, + { + "text": "(DN,a)", + "bbox_points": [ + 189.92, + 620.8, + 211.6, + 629.59 + ] + }, + { + "text": "83,220", + "bbox_points": [ + 349.68, + 620.9, + 373.76, + 628.92 + ] + }, + { + "text": "m3/year", + "bbox_points": [ + 504.57, + 619.37, + 533.58, + 628.92 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_04.txt b/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..b522c8474d93321f22d6c9382c73f1f621bda0fa --- /dev/null +++ b/Figures/Kasipiyawong et al. - 2024 - The potential of rainwater harvesting and greywater recycling as an alternative domestic water resou/table_04.txt @@ -0,0 +1 @@ +Non-potable water demand for residential buildings in 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+ 717.27 + ], + "caption_bbox_points": [ + 64.01, + 559.22, + 531.81, + 567.45 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 11, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "WHO guidelines for the safe use of", + "bbox_points": [ + 430.98, + 582.01, + 539.78, + 588.01 + ], + "words": [ + { + "text": "WHO", + "bbox_points": [ + 430.98, + 582.01, + 446.16, + 588.01 + ] + }, + { + "text": "guidelines", + "bbox_points": [ + 448.16, + 582.01, + 480.2, + 588.01 + ] + }, + { + "text": "for", + "bbox_points": [ + 482.23, + 582.01, + 491.16, + 588.01 + ] + }, + { + "text": "the", + "bbox_points": [ + 493.11, + 582.01, + 503.48, + 588.01 + ] + }, + { + "text": "safe", + "bbox_points": [ + 505.53, + 582.01, + 518.65, + 588.01 + ] + }, + { + "text": "use", + "bbox_points": [ + 520.55, + 582.01, + 531.48, + 588.01 + ] + }, + { + "text": "of", + 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for relative depth,β ¼ 0.15 at the upstream of the channel, as well as the start, middle, and end of the converging portion for various converging compound channels: (a) θ ¼ 5°, (b) θ ¼ 9°, and (c) θ ¼ 12.38°. (continued.). diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_07_part_2.jpg b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_07_part_2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ef61cb82126c67550cc92213d9182307f3746369 --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_07_part_2.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d648608ab5eaf2e31a76482864a2c25213b2a54099cbfc48d670b9c7d75da9fb +size 96884 diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_07_part_2.txt b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_07_part_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..75b9ca4918baa3c02d50f379b31163a652a91d2c --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_07_part_2.txt @@ -0,0 +1 @@ +Continued. diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_08.jpg b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4ebdac78586012224aaf755cebfa3e0dd17e1e56 --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:849f5df6364a94275af03d91e7212675ee9adf864c47fc44325a2686d45bfff2 +size 177077 diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_08.txt b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bd6fb03603040c69538b8130b7de1ebe605a3d6 --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_08.txt @@ -0,0 +1 @@ +Variation of average boundary shear stress with the longitudinal distance for different relative depths and converging angles: (a) β ¼ 0.15, θ ¼ 5°; (b) β ¼ 0.20, θ ¼ 5°; (c) β ¼ 0.15, θ ¼ 9°; (d) β ¼ 0.20, θ ¼ 9°; (e) β ¼ 0.15, θ ¼ 12.38°; and (f) β ¼ 0.20, θ ¼ 12.38°. diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09.jpg b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ca8780faf5e07d8ba692aabc7ba6fd891aceb9d4 --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4850d513e2fd5126395dd883bee1d2edd1415c9cb089374ddbc3a1be1797a94f +size 183948 diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09.txt b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..9775a85a4c6e90a31ab17d4e17b2a2b4b676afbe --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09.txt @@ -0,0 +1 @@ +Depth-averaged velocity distribution across the width of channel for relative depth, β ¼ 0.15 at the upstream of the channel, as well as the start, middle, and end of the converging portion for various converging compound channels: (a) θ ¼ 5°, (b) θ ¼ 9°, and (c) θ ¼ 12.38°. (continued.). diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09_part_2.jpg b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09_part_2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..15cf1e15f0a85cc83f7dda04cf93402401c974ef --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09_part_2.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:15bf92ad7e20714c7b0160ece5e8ee3079f7c0fe42db6e42250d032dcc172d51 +size 106026 diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09_part_2.txt b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09_part_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..75b9ca4918baa3c02d50f379b31163a652a91d2c --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_09_part_2.txt @@ -0,0 +1 @@ +Continued. diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_10.jpg b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1e7ec6c9bec6c72605c425b44193010da974ec72 --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3466d5c1cb4c27c331c057d8266369f8e78efa7b2c2801ed8dc982e96fbd1000 +size 180485 diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_10.txt b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..dcf8156ae3ada9189f9f8911782ad1b8568f4eb3 --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_10.txt @@ -0,0 +1 @@ +Velocity distribution across the width of channel for relative depth, β ¼ 0.20 at the upstream of the channel, as well as the start, middle, and end of the converging portion for various converging compound channels: (a) θ ¼ 5°, (b) θ ¼ 9°, and (c) θ ¼ 12.38°. (continued.). diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_10_part_2.jpg b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_10_part_2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ff3a308a88b7eba63f15dd8928fd1d63cede1962 --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_10_part_2.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f70561bff733ff90650049a52680bb05b415d9626c1e58a5dd32848176a8fd28 +size 106041 diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_10_part_2.txt b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_10_part_2.txt new file mode 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simulation of flow characteristics in nonprismatic compound channels/figure_11.txt b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_11.txt new file mode 100644 index 0000000000000000000000000000000000000000..1cf78e4f47dce9ba96b3ec04616e0927d5e0d5d8 --- /dev/null +++ b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_11.txt @@ -0,0 +1 @@ +Comparison of experimental and HEC-RAS simulated values of average boundary shear stress for different con- verging compound channels: (a) θ ¼ 5°, (b) θ ¼ 9°, and (c) θ ¼ 12.38°. diff --git a/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_12.jpg b/Figures/Kaushik et al. - 2024 - Numerical simulation of flow characteristics in nonprismatic compound channels/figure_12.jpg new file mode 100644 index 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"2.862758°E", + "bbox_points": [ + 428.43, + 235.9, + 469.58, + 243.92 + ] + }, + { + "text": "Semi-arid", + "bbox_points": [ + 509.44, + 235.9, + 543.82, + 243.92 + ] + } + ] + }, + { + "text": "Chott El Hodna 362,000 Salty Permanent Ramsar (2001) 35.442812° 4.797680°E Semi-arid", + "bbox_points": [ + 43.43, + 249.9, + 543.82, + 257.92 + ], + "words": [ + { + "text": "Chott", + "bbox_points": [ + 43.43, + 249.9, + 63.64, + 257.92 + ] + }, + { + "text": "El", + "bbox_points": [ + 66.05, + 249.9, + 73.87, + 257.92 + ] + }, + { + "text": "Hodna", + "bbox_points": [ + 76.25, + 249.9, + 101.31, + 257.92 + ] + }, + { + "text": "362,000", + "bbox_points": [ + 136.46, + 249.9, + 164.96, + 257.92 + ] + }, + { + "text": "Salty", + "bbox_points": [ + 183.01, + 249.9, + 200.81, + 257.92 + ] + }, + { + "text": "Permanent", + "bbox_points": [ + 214.87, + 249.9, + 254.07, + 257.92 + ] + }, + { + "text": "Ramsar", + "bbox_points": [ + 266.46, + 249.9, + 293.84, + 257.92 + ] + }, + { + "text": "(2001)", + "bbox_points": [ + 296.16, + 249.9, + 319.31, + 257.92 + ] + }, + { + "text": "35.442812°", + "bbox_points": [ + 347.47, + 249.9, + 387.4, + 257.92 + ] + }, + { + "text": "4.797680°E", + "bbox_points": [ + 428.43, + 249.9, + 469.58, + 257.92 + ] + }, + { + "text": "Semi-arid", + "bbox_points": [ + 509.44, + 249.9, + 543.82, + 257.92 + ] + } + ] + }, + { + "text": "Chott Melghir 551,500 Salty Irregular Ramsar (2002) 34.122969° 6.001930°E Arid", + "bbox_points": [ + 43.43, + 263.91, + 525.5, + 271.92 + ], + "words": [ + { + "text": "Chott", + "bbox_points": [ + 43.43, + 263.91, + 63.64, + 271.92 + ] + }, + { + "text": "Melghir", + "bbox_points": [ + 66.05, + 263.91, + 94.35, + 271.92 + ] + }, + { + "text": "551,500", + "bbox_points": [ + 136.46, + 263.91, + 164.96, + 271.92 + ] + }, + { + "text": "Salty", + "bbox_points": [ + 183.01, + 263.91, + 200.81, + 271.92 + ] + }, + { + "text": "Irregular", + "bbox_points": [ + 214.87, + 263.91, + 246.39, + 271.92 + ] + }, + { + "text": "Ramsar", + "bbox_points": [ + 266.46, + 263.91, + 293.84, + 271.92 + ] + }, + { + "text": "(2002)", + "bbox_points": [ + 296.16, + 263.91, + 319.31, + 271.92 + ] + }, + { + "text": "34.122969°", + "bbox_points": [ + 347.47, + 263.91, + 387.4, + 271.92 + ] + }, + { + "text": "6.001930°E", + "bbox_points": [ + 428.43, + 263.91, + 469.58, + 271.92 + ] + }, + { + "text": "Arid", + "bbox_points": [ + 509.44, + 263.91, + 525.5, + 271.92 + ] + } + ] + }, + { + "text": "Beni Bahdel dam 54,630 Salty Irregular Not protected 34.703221° -1.500366°W Semi-arid", + "bbox_points": [ + 43.43, + 277.85, + 543.82, + 285.87 + ], + "words": [ + { + "text": "Beni", + "bbox_points": [ + 43.43, + 277.85, + 60.07, + 285.87 + ] + }, + { + "text": "Bahdel", + "bbox_points": [ + 62.48, + 277.85, + 87.86, + 285.87 + ] + }, + { + "text": "dam", + "bbox_points": [ + 90.2, + 277.85, + 105.93, + 285.87 + ] + }, + { + "text": "54,630", + "bbox_points": [ + 136.46, + 277.85, + 160.54, + 285.87 + ] + }, + { + "text": "Salty", + "bbox_points": [ + 183.0, + 277.85, + 200.81, + 285.87 + ] + }, + { + "text": "Irregular", + "bbox_points": [ + 214.87, + 277.85, + 246.39, + 285.87 + ] + }, + { + "text": "Not", + "bbox_points": [ + 266.46, + 277.85, + 280.35, + 285.87 + ] + }, + { + "text": "protected", + "bbox_points": [ + 282.73, + 277.85, + 316.57, + 285.87 + ] + }, + { + "text": "34.703221°", + "bbox_points": [ + 347.47, + 277.85, + 387.4, + 285.87 + ] + }, + { + "text": "-1.500366°W", + "bbox_points": [ + 428.43, + 277.85, + 474.49, + 285.87 + ] + }, + { + "text": "Semi-arid", + "bbox_points": [ + 509.44, + 277.85, + 543.82, + 285.87 + ] + } + ] + }, + { + "text": "Bougara dam 11,320 Salty Irregular Not protected 35.565565° 1.908756°E Semi-arid", + "bbox_points": [ + 43.43, + 291.86, + 543.82, + 299.87 + ], + "words": [ + { + "text": "Bougara", + "bbox_points": [ + 43.43, + 291.86, + 73.44, + 299.87 + ] + }, + { + "text": "dam", + "bbox_points": [ + 75.86, + 291.86, + 91.59, + 299.87 + ] + }, 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313.88 + ] + }, + { + "text": "dam", + "bbox_points": [ + 83.57, + 305.86, + 99.3, + 313.88 + ] + }, + { + "text": "175,450", + "bbox_points": [ + 136.46, + 305.86, + 164.96, + 313.88 + ] + }, + { + "text": "Salty", + "bbox_points": [ + 183.01, + 305.86, + 200.81, + 313.88 + ] + }, + { + "text": "Irregular", + "bbox_points": [ + 214.87, + 305.86, + 246.39, + 313.88 + ] + }, + { + "text": "Not", + "bbox_points": [ + 266.46, + 305.86, + 280.35, + 313.88 + ] + }, + { + "text": "protected", + "bbox_points": [ + 282.73, + 305.86, + 316.57, + 313.88 + ] + }, + { + "text": "34.874073°", + "bbox_points": [ + 347.47, + 305.86, + 387.4, + 313.88 + ] + }, + { + "text": "-1.653459°W", + "bbox_points": [ + 428.43, + 305.86, + 474.49, + 313.88 + ] + }, + { + "text": "Semi-arid", + "bbox_points": [ + 509.44, + 305.86, + 543.82, + 313.88 + ] + } + ] + }, + { + "text": "Bouhanifia dam 34,520 Salty Irregular Not protected 35.278106 ° -0.071455°W Semi-arid", + "bbox_points": [ + 43.43, + 319.58, + 543.82, + 327.88 + ], + "words": [ + { + "text": "Bouhanifia", + "bbox_points": [ + 43.43, + 319.58, + 83.02, + 327.88 + ] + }, + { + "text": "dam", + "bbox_points": [ + 85.38, + 319.86, + 101.12, + 327.88 + ] + }, + { + "text": "34,520", + "bbox_points": [ + 136.46, + 319.86, + 160.54, + 327.88 + ] + }, + { + "text": "Salty", + "bbox_points": [ + 183.01, + 319.86, + 200.81, + 327.88 + ] + }, + { + "text": "Irregular", + "bbox_points": [ + 214.87, + 319.86, + 246.39, + 327.88 + ] + }, + { + "text": "Not", + "bbox_points": [ + 266.46, + 319.86, + 280.35, + 327.88 + ] + }, + { + "text": "protected", + "bbox_points": [ + 282.73, + 319.86, + 316.57, + 327.88 + ] + }, + { + "text": "35.278106", + "bbox_points": [ + 347.47, + 319.86, + 384.66, + 327.88 + ] + }, + { + "text": "°", + "bbox_points": [ + 387.04, + 319.86, + 389.79, + 327.88 + ] + }, + { + "text": "-0.071455°W", + "bbox_points": [ + 428.43, + 319.86, + 474.49, + 327.88 + ] + }, + { + "text": "Semi-arid", + "bbox_points": [ + 509.44, + 319.86, + 543.82, + 327.88 + ] + } + ] + }, + { + "text": "Chorfa dam 70,210 Salty Irregular Not protected 35.384663° -0.274070°W Semi-arid", + "bbox_points": [ + 43.43, + 333.87, + 543.82, + 341.88 + ], + "words": [ + { + "text": "Chorfa", + "bbox_points": [ + 43.43, + 333.87, + 68.31, + 341.88 + ] + }, + { + "text": "dam", + "bbox_points": [ + 70.7, + 333.87, + 86.43, + 341.88 + ] + }, + { + "text": "70,210", + "bbox_points": [ + 136.46, + 333.87, + 160.54, + 341.88 + ] + }, + { + "text": "Salty", + "bbox_points": [ + 183.0, + 333.87, + 200.81, + 341.88 + ] + }, + { + "text": "Irregular", + "bbox_points": [ + 214.87, + 333.87, + 246.39, + 341.88 + ] + }, + { + "text": "Not", + "bbox_points": [ + 266.46, + 333.87, + 280.35, + 341.88 + ] + }, + { + "text": "protected", + "bbox_points": [ + 282.73, + 333.87, + 316.57, + 341.88 + ] + }, + { + "text": "35.384663°", + "bbox_points": [ + 347.47, + 333.87, + 387.4, + 341.88 + ] + }, + { + "text": "-0.274070°W", + "bbox_points": [ + 428.43, + 333.87, + 474.49, + 341.88 + ] + }, + { + "text": "Semi-arid", + "bbox_points": [ + 509.44, + 333.87, + 543.82, + 341.88 + ] + } + ] + }, + { + "text": "Cheliff dam 50,000 Salty Irregular Not protected 35.990491° 0.446296°E Semi-arid", + "bbox_points": [ + 43.43, + 347.87, + 543.82, + 355.88 + ], + "words": [ + { + "text": "Cheliff", + "bbox_points": [ + 43.43, + 347.87, + 67.56, + 355.88 + ] + }, + { + "text": "dam", + "bbox_points": [ + 69.96, + 347.87, + 85.7, + 355.88 + ] + }, + { + "text": "50,000", + "bbox_points": [ + 136.46, + 347.87, + 160.54, + 355.88 + ] + }, + { + "text": "Salty", + "bbox_points": [ + 183.01, + 347.87, + 200.81, + 355.88 + ] + }, + { + "text": "Irregular", + "bbox_points": [ + 214.87, + 347.87, + 246.39, + 355.88 + ] + }, + { + "text": "Not", + "bbox_points": [ + 266.46, + 347.87, + 280.35, + 355.88 + ] + }, + { + "text": "protected", + "bbox_points": [ + 282.73, + 347.87, + 316.57, + 355.88 + ] + }, + { + "text": "35.990491°", + "bbox_points": [ + 347.47, + 347.87, + 387.4, + 355.88 + ] + }, + { + "text": "0.446296°E", + "bbox_points": [ + 428.43, + 347.87, + 469.58, + 355.88 + ] + }, + { + "text": "Semi-arid", + "bbox_points": [ + 509.44, + 347.87, + 543.82, + 355.88 + ] + } + ] + }, + { + "text": "Chott Merouane 337,700 Salty Irregular IBA-Ramsar (2001) 33.5328° 6.1034°E Arid", + "bbox_points": [ + 43.43, + 361.87, + 525.5, + 369.89 + ], + "words": [ + { + "text": "Chott", + "bbox_points": [ + 43.43, + 361.87, + 63.64, + 369.89 + ] + }, + { + "text": "Merouane", + "bbox_points": [ + 66.05, + 361.87, + 102.79, + 369.89 + ] + }, + { + "text": "337,700", + "bbox_points": [ + 136.46, + 361.87, + 164.96, + 369.89 + ] + }, + { + "text": "Salty", + "bbox_points": [ + 183.01, + 361.87, + 200.81, + 369.89 + ] + }, + { + "text": "Irregular", + "bbox_points": [ + 214.87, + 361.87, + 246.39, + 369.89 + ] + }, + { + "text": "IBA-Ramsar", + "bbox_points": [ + 266.46, + 361.87, + 310.62, + 369.89 + ] + }, + { + "text": "(2001)", + "bbox_points": [ + 312.94, + 361.87, + 336.1, + 369.89 + ] + }, + { + "text": "33.5328°", + "bbox_points": [ + 347.47, + 361.87, + 378.71, + 369.89 + ] + }, + { + "text": "6.1034°E", + "bbox_points": [ + 428.43, + 361.87, + 460.75, + 369.89 + ] + }, + { + "text": "Arid", + "bbox_points": [ + 509.44, + 361.87, + 525.5, + 369.89 + ] + } + ] + }, + { + "text": "Dahmoni dam 39,520 Salty Irregular Not protected 35.451481° 1.449635°E Semi-arid", + "bbox_points": [ + 43.43, + 375.87, + 543.82, + 383.89 + ], + "words": [ + { + "text": "Dahmoni", + "bbox_points": [ + 43.43, + 375.87, + 77.55, + 383.89 + ] + }, + { + "text": "dam", + "bbox_points": [ + 79.88, + 375.87, + 95.62, + 383.89 + ] + }, + { + "text": "39,520", + "bbox_points": [ + 136.46, + 375.87, + 160.54, + 383.89 + ] + }, + { + "text": "Salty", + "bbox_points": [ + 183.01, + 375.87, + 200.81, + 383.89 + ] + }, + { + "text": "Irregular", + "bbox_points": [ + 214.87, + 375.87, + 246.39, + 383.89 + ] + }, + { + "text": "Not", + "bbox_points": [ + 266.46, + 375.87, + 280.35, + 383.89 + ] + }, + { + "text": "protected", + "bbox_points": [ + 282.73, + 375.87, + 316.57, + 383.89 + ] + }, + { + "text": "35.451481°", + "bbox_points": [ + 347.47, + 375.87, + 387.4, + 383.89 + ] + }, + { + "text": "1.449635°E", + "bbox_points": [ + 428.43, + 375.87, + 469.58, + 383.89 + ] + }, + { + "text": "Semi-arid", + "bbox_points": [ + 509.44, + 375.87, + 543.82, + 383.89 + ] + } + ] + }, + { + "text": "Gargar dam 358,280 Salty Irregular Not protected 35.913654° 1.007704°E Semi-arid", + "bbox_points": [ + 43.43, + 389.88, + 543.82, + 397.89 + ], + "words": [ + { + "text": "Gargar", + "bbox_points": [ + 43.43, + 389.88, + 68.81, + 397.89 + ] + }, + { + "text": "dam", + "bbox_points": [ + 71.21, + 389.88, + 86.94, + 397.89 + ] + }, + { + "text": "358,280", + "bbox_points": [ + 136.46, + 389.88, + 164.96, + 397.89 + ] + }, + { + "text": "Salty", + "bbox_points": [ + 183.01, + 389.88, + 200.81, + 397.89 + ] + }, + { + "text": "Irregular", + "bbox_points": [ + 214.87, + 389.88, + 246.39, + 397.89 + ] + }, + { + "text": "Not", + "bbox_points": [ + 266.46, + 389.88, + 280.35, + 397.89 + ] + }, + { + "text": "protected", + "bbox_points": [ + 282.73, + 389.88, + 316.57, + 397.89 + ] + }, + { + "text": "35.913654°", + "bbox_points": [ + 347.47, + 389.88, + 387.4, + 397.89 + ] + }, + { + "text": "1.007704°E", + "bbox_points": [ + 428.43, + 389.88, + 469.58, + 397.89 + ] + }, + { + "text": "Semi-arid", + "bbox_points": [ + 509.44, + 389.88, + 543.82, + 397.89 + ] + } + ] + }, + { + "text": "Karrada dam 65,000 Salty Irregular Not protected 36.058190° 0.384113°E Semi-arid", + "bbox_points": [ + 43.43, + 403.88, + 543.82, + 411.9 + ], + "words": [ + { + "text": "Karrada", + "bbox_points": [ + 43.43, + 403.88, + 72.65, + 411.9 + ] + }, + { + "text": "dam", + "bbox_points": [ + 75.0, + 403.88, + 90.74, + 411.9 + ] + }, + { + "text": "65,000", + "bbox_points": [ + 136.46, + 403.88, + 160.54, + 411.9 + ] + }, + { + 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The names of provinces and territories are shown using the commonly used abbreviated form, discussed in Section 3. diff --git a/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_02.jpg b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7af8f940307ec776518a81f14a3c135675af17f3 --- /dev/null +++ b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:908732affacea3504c78787a212d166b7fcf1e9551c2c02307a241c9dc6e5124 +size 118768 diff --git a/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_02.txt b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..5094bda7ed7b808eab85b647b0f12dfeafaa18da --- /dev/null +++ b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_02.txt @@ -0,0 +1 @@ +Cumulative distribution of drainage areas of both natural and regulated watersheds considered in the study. diff --git a/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_03.jpg b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b23900baf8ae1cbed1b9ad4cc5792718f5c15f89 --- /dev/null +++ b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:662c89bae755c9359a21d46a84931943548ba0746ef48cb830a2e652e9b4a7a9 +size 138935 diff --git a/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_03.txt b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..90b3658943f38842752fa3322e9c3c72b9d6856f --- /dev/null +++ b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_03.txt @@ -0,0 +1 @@ +Scatterplots of parameter a of method M1 as a function of watershed drainage area for AB, BC, ON, and NL for both natural and regulated stations. Dotted lines represent corresponding trends and box and whisker plots represent corresponding nonparametric summary statistics with the mean values shown using a cross symbol. Whiskers correspond to minimum and maximum values, while the box rep- resents the 25th and 75th percentile values. Median value is located inside the box. Outlying points show the values which lie outside 1.5 times the interquartile range as described in Helsel & Hirsch (2002). diff --git a/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_04.jpg b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..05b6b4ba603687fe1427099d626831fac2eab6d2 --- /dev/null +++ b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4d73d17507f8d69d03bd8ec7c61d17ed589420a0d736731af3566961851a909b +size 182715 diff --git a/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_04.txt b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..0826d206effef817ec6b50163e2603f39be720ca --- /dev/null +++ b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_04.txt @@ -0,0 +1 @@ +Comparison of POR highest observed and estimated IPFs for AB, BC, ON, and NL for M1–M4 methods, considering watersheds with natural flow regimes. The diagonal line represents the line of perfect match. Performance measures and model selection criterion values are embedded in all plots. 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Proportions of watersheds/ stations with the associated best method at the first, second, and third place are shown. diff --git a/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_08.jpg b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5decd3604bb550b24cb7370f7ae0e9e42a60db12 --- /dev/null +++ b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5324b2da8a423666ec9b39fc57e208f7d8dc2c08a6436f4f09451b71c24696d8 +size 69850 diff --git a/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_08.txt b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee718a0611d56a3ac8e28a3a257e31520d0b6f5e --- /dev/null +++ b/Figures/Khaliq - 2024 - Estimation of instantaneous peak flows in Canadian rivers an evaluation of conventional, nonlinear/figure_08.txt @@ -0,0 +1 @@ +Comparison of the POR highest observed and estimated (using method M5) IPFs for BC, ON, and together for NB, NL, NS, and PEI. 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Nikooe &", + "bbox_points": [ + 43.43, + 322.98, + 524.2, + 331.28 + ], + "words": [ + { + "text": "NF", + "bbox_points": [ + 43.43, + 323.26, + 54.91, + 331.28 + ] + }, + { + "text": "Poly(vinylidene", + "bbox_points": [ + 76.93, + 323.26, + 132.53, + 331.28 + ] + }, + { + "text": "fluoride),", + "bbox_points": [ + 134.87, + 322.98, + 167.59, + 331.28 + ] + }, + { + "text": "Contaminated", + "bbox_points": [ + 178.19, + 323.26, + 228.97, + 331.28 + ] + }, + { + "text": "Dye", + "bbox_points": [ + 253.98, + 323.26, + 268.36, + 331.28 + ] + }, + { + "text": "initial", + "bbox_points": [ + 270.77, + 323.26, + 291.56, + 331.28 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 293.9, + 323.26, + 343.67, + 331.28 + ] + }, + { + "text": "¼", + "bbox_points": [ + 345.26, + 322.98, + 351.42, + 330.98 + ] + }, + { + "text": "Dye", + "bbox_points": [ + 383.53, + 323.26, + 397.9, + 331.28 + ] + }, + { + "text": "rejection", + "bbox_points": [ + 400.31, + 323.26, + 431.64, + 331.28 + ] 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"text": "¼", + "bbox_points": [ + 288.74, + 368.45, + 294.9, + 376.45 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 296.45, + 368.73, + 307.28, + 376.75 + ] + }, + { + "text": "wt%", + "bbox_points": [ + 309.66, + 368.73, + 325.56, + 376.75 + ] + }, + { + "text": "antifouling", + "bbox_points": [ + 391.52, + 368.73, + 430.31, + 376.75 + ] + }, + { + "text": "capacity", + "bbox_points": [ + 432.68, + 368.73, + 462.31, + 376.75 + ] + }, + { + "text": "for", + "bbox_points": [ + 464.66, + 368.73, + 474.89, + 376.75 + ] + } + ] + }, + { + "text": "BSA and dyes", + "bbox_points": [ + 391.52, + 379.22, + 441.77, + 387.24 + ], + "words": [ + { + "text": "BSA", + "bbox_points": [ + 391.52, + 379.22, + 407.84, + 387.24 + ] + }, + { + "text": "and", + "bbox_points": [ + 410.17, + 379.22, + 423.65, + 387.24 + ] + }, + { + "text": "dyes", + "bbox_points": [ + 426.05, + 379.22, + 441.77, + 387.24 + ] + } + ] + }, + { + "text": "NF Polyethersulfone (PES) Soluble dyes Feed water flux ¼ 23.43– Dye rejection for Direct Saniei et al.", + "bbox_points": [ + 43.43, + 392.94, + 530.15, + 401.24 + ], + "words": [ + { + "text": "NF", + "bbox_points": [ + 43.43, + 393.22, + 54.92, + 401.24 + ] + }, + { + "text": "Polyethersulfone", + "bbox_points": [ + 76.93, + 393.22, + 136.91, + 401.24 + ] + }, + { + "text": "(PES)", + "bbox_points": [ + 139.3, + 393.22, + 160.02, + 401.24 + ] + }, + { + "text": "Soluble", + "bbox_points": [ + 178.19, + 393.22, + 205.15, + 401.24 + ] + }, + { + "text": "dyes", + "bbox_points": [ + 207.55, + 393.22, + 223.27, + 401.24 + ] + }, + { + "text": "Feed", + "bbox_points": [ + 253.98, + 393.22, + 271.1, + 401.24 + ] + }, + { + "text": "water", + "bbox_points": [ + 273.49, + 393.22, + 293.37, + 401.24 + ] + }, + { + "text": "flux", + "bbox_points": [ + 295.71, + 392.94, + 309.21, + 401.24 + ] + }, + { + "text": "¼", + "bbox_points": [ + 310.79, + 392.94, + 316.95, + 400.94 + ] + }, + { + "text": "23.43–", + "bbox_points": [ + 318.5, + 392.94, + 342.12, + 401.24 + ] + }, + { + "text": "Dye", + "bbox_points": [ + 383.53, + 393.22, + 397.9, + 401.24 + ] + }, + { + "text": "rejection", + "bbox_points": [ + 400.31, + 393.22, + 431.64, + 401.24 + ] + }, + { + "text": "for", + "bbox_points": [ + 433.98, + 393.22, + 444.22, + 401.24 + ] + }, + { + "text": "Direct", + "bbox_points": [ + 446.63, + 393.22, + 469.05, + 401.24 + ] + }, + { + "text": "Saniei", + "bbox_points": [ + 487.9, + 393.22, + 510.2, + 401.24 + ] + }, + { + "text": "et", + "bbox_points": [ + 512.56, + 393.12, + 518.88, + 401.12 + ] + }, + { + "text": "al.", + "bbox_points": [ + 521.23, + 393.12, + 530.15, + 401.12 + ] + } + ] + }, + { + "text": "membrane with removal 60.65 kg/m2, goethite-tannic Red 16 92.61%. (2020)", + "bbox_points": [ + 84.93, + 402.24, + 519.04, + 411.79 + ], + "words": [ + { + "text": "membrane", + "bbox_points": [ + 84.93, + 403.77, + 123.17, + 411.78 + ] + }, + { + "text": "with", + "bbox_points": [ + 125.35, + 403.77, + 141.33, + 411.78 + ] + }, + { + "text": "removal", + "bbox_points": [ + 186.24, + 403.77, + 215.2, + 411.78 + ] + }, + { + "text": "60.65", + "bbox_points": [ + 261.98, + 403.77, + 281.64, + 411.78 + ] + }, + { + "text": "kg/m2,", + "bbox_points": [ + 283.58, + 402.24, + 307.97, + 411.79 + ] + }, + { + "text": "goethite-tannic", + "bbox_points": [ + 310.39, + 403.77, + 363.74, + 411.79 + ] + }, + { + "text": "Red", + "bbox_points": [ + 391.52, + 403.77, + 405.48, + 411.78 + ] + }, + { + "text": "16", + "bbox_points": [ + 407.85, + 403.77, + 416.68, + 411.78 + ] + }, + { + "text": "92.61%.", + "bbox_points": [ + 419.07, + 403.77, + 447.74, + 411.78 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 495.89, + 403.77, + 519.04, + 411.78 + ] + } + ] + }, + { + "text": "goethite-tannic acid acid on PES ¼ 0–1 wt%", + "bbox_points": [ + 84.93, + 413.98, + 346.54, + 422.27 + ], + "words": [ + { + "text": "goethite-tannic", + "bbox_points": [ + 84.93, + 414.26, + 138.27, + 422.27 + ] + }, + { + "text": "acid", + "bbox_points": [ + 140.66, + 414.26, + 155.53, + 422.27 + ] + }, + { + "text": "acid", + "bbox_points": [ + 261.98, + 414.26, + 276.85, + 422.27 + ] + }, + { + "text": "on", + "bbox_points": [ + 279.21, + 414.26, + 288.53, + 422.27 + ] + }, + { + "text": "PES", + "bbox_points": [ + 290.95, + 414.26, + 306.19, + 422.27 + ] + }, + { + "text": "¼", + "bbox_points": [ + 307.73, + 413.98, + 313.89, + 421.98 + ] + }, + { + "text": "0–1", + "bbox_points": [ + 315.44, + 413.98, + 328.25, + 422.27 + ] + }, + { + "text": "wt%", + "bbox_points": [ + 330.63, + 414.26, + 346.54, + 422.27 + ] + } + ] + }, + { + "text": "Nps", + "bbox_points": [ + 84.93, + 424.74, + 99.57, + 432.76 + ], + "words": [ + { + "text": "Nps", + "bbox_points": [ + 84.93, + 424.74, + 99.57, + 432.76 + ] + } + ] + }, + { + "text": "RO Graphene oxide (GO) Seawater Feed water CaSO4 Inhibition of bacterial Ashfaq et al.", + "bbox_points": [ + 43.43, + 438.65, + 532.98, + 447.44 + ], + "words": [ + { + "text": "RO", + "bbox_points": [ + 43.43, + 438.75, + 55.61, + 446.76 + ] + }, + { + "text": "Graphene", + "bbox_points": [ + 76.93, + 438.75, + 112.85, + 446.76 + ] + }, + { + "text": "oxide", + "bbox_points": [ + 115.2, + 438.75, + 134.84, + 446.76 + ] + }, + { + "text": "(GO)", + "bbox_points": [ + 137.2, + 438.75, + 156.17, + 446.76 + ] + }, + { + "text": "Seawater", + "bbox_points": [ + 178.19, + 438.75, + 210.77, + 446.76 + ] + }, + { + "text": "Feed", + "bbox_points": [ + 253.98, + 438.75, + 271.1, + 446.76 + ] + }, + { + "text": "water", + "bbox_points": [ + 273.49, + 438.75, + 293.37, + 446.76 + ] + }, + { + "text": "CaSO4", + "bbox_points": [ + 295.71, + 438.75, + 320.4, + 447.44 + ] + }, + { + "text": "Inhibition", + "bbox_points": [ + 383.53, + 438.75, + 419.4, + 446.76 + ] + }, + { + "text": "of", + "bbox_points": [ + 421.79, + 438.75, + 428.87, + 446.76 + ] + }, + { + "text": "bacterial", + "bbox_points": [ + 431.26, + 438.75, + 462.2, + 446.76 + ] + }, + { + "text": "Ashfaq", + "bbox_points": [ + 487.9, + 438.75, + 512.95, + 446.76 + ] + }, + { + "text": "et", + "bbox_points": [ + 515.34, + 438.65, + 521.66, + 446.65 + ] + }, + { + "text": "al.", + "bbox_points": [ + 524.07, + 438.65, + 532.98, + 446.65 + ] + } + ] + }, + { + "text": "Nps with polyamide desalination concentration ¼ 20 mM, growth by 81.7% and (2020)", + "bbox_points": [ + 84.93, + 448.96, + 519.04, + 457.25 + ], + "words": [ + { + "text": "Nps", + "bbox_points": [ + 84.93, + 449.24, + 99.57, + 457.25 + ] + }, + { + "text": "with", + "bbox_points": [ + 101.93, + 449.24, + 117.91, + 457.25 + ] + }, + { + "text": "polyamide", + "bbox_points": [ + 120.3, + 449.24, + 157.62, + 457.25 + ] + }, + { + "text": "desalination", + "bbox_points": [ + 186.24, + 449.24, + 229.83, + 457.25 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 261.98, + 449.24, + 311.75, + 457.25 + ] + }, + { + "text": "¼", + "bbox_points": [ + 313.28, + 448.96, + 319.44, + 456.96 + ] + }, + { + "text": "20", + "bbox_points": [ + 321.05, + 449.24, + 329.88, + 457.25 + ] + }, + { + "text": "mM,", + "bbox_points": [ + 332.22, + 449.24, + 348.96, + 457.25 + ] + }, + { + "text": "growth", + "bbox_points": [ + 391.52, + 449.24, + 416.56, + 457.25 + ] + }, + { + "text": "by", + "bbox_points": [ + 418.9, + 449.24, + 427.32, + 457.25 + ] + }, + { + "text": "81.7%", + "bbox_points": [ + 429.73, + 449.24, + 451.98, + 457.25 + ] + }, + { + "text": "and", + "bbox_points": [ + 454.28, + 449.24, + 467.76, + 457.25 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 495.89, + 449.24, + 519.04, + 457.25 + ] + } + ] + }, + { + "text": "membrane pressure ¼ 25 bar, flowrate ¼ 1 mineral scaling", + "bbox_points": [ + 84.93, + 459.45, + 446.29, + 467.74 + ], + "words": [ + { + "text": "membrane", + "bbox_points": [ + 84.93, + 459.72, + 123.17, + 467.74 + ] + }, + { + "text": "pressure", + "bbox_points": [ + 261.98, + 459.73, + 291.72, + 467.74 + ] + }, + { + "text": "¼", + "bbox_points": [ + 293.27, + 459.45, + 299.43, + 467.45 + ] + }, + { + "text": "25", + "bbox_points": [ + 301.04, + 459.73, + 309.87, + 467.74 + ] + }, + { + "text": "bar,", + "bbox_points": [ + 312.21, + 459.73, + 325.94, + 467.74 + ] + }, + { + "text": "flowrate", + "bbox_points": [ + 328.31, + 459.45, + 357.34, + 467.74 + ] + }, + { + "text": "¼", + "bbox_points": [ + 358.92, + 459.45, + 365.08, + 467.45 + ] + }, + { + "text": "1", + "bbox_points": [ + 366.63, + 459.73, + 371.05, + 467.74 + ] + }, + { + "text": "mineral", + "bbox_points": [ + 391.52, + 459.72, + 419.04, + 467.74 + ] + }, + { + "text": "scaling", + "bbox_points": [ + 421.4, + 459.72, + 446.29, + 467.74 + ] + } + ] + }, + { + "text": "L/h, temperature ¼ 25 °C", + "bbox_points": [ + 261.98, + 469.99, + 351.76, + 478.29 + ], + "words": [ + { + "text": "L/h,", + "bbox_points": [ + 261.98, + 470.27, + 277.63, + 478.29 + ] + }, + { + "text": "temperature", + "bbox_points": [ + 280.01, + 470.27, + 323.18, + 478.29 + ] + }, + { + "text": "¼", + "bbox_points": [ + 324.74, + 469.99, + 330.9, + 477.99 + ] + }, + { + "text": "25", + "bbox_points": [ + 332.5, + 470.27, + 341.34, + 478.29 + ] + }, + { + "text": "°C", + "bbox_points": [ + 343.28, + 470.27, + 351.76, + 478.29 + ] + } + ] + }, + { + "text": "RO Polyamide membrane Desalination, Feed water permeability ¼ Flux recovery ratio (FRR) Li et al. (2020)", + "bbox_points": [ + 43.43, + 483.99, + 541.04, + 492.29 + ], + "words": [ + { + "text": "RO", + "bbox_points": [ + 43.43, + 484.27, + 55.61, + 492.29 + ] + }, + { + "text": "Polyamide", + "bbox_points": [ + 76.93, + 484.27, + 114.53, + 492.29 + ] + }, + { + "text": "membrane", + "bbox_points": [ + 116.84, + 484.27, + 155.09, + 492.29 + ] + }, + { + "text": "Desalination,", + "bbox_points": [ + 178.19, + 484.27, + 225.82, + 492.29 + ] + }, + { + "text": "Feed", + "bbox_points": [ + 253.98, + 484.27, + 271.09, + 492.29 + ] + }, + { + "text": "water", + "bbox_points": [ + 273.49, + 484.27, + 293.37, + 492.29 + ] + }, + { + "text": "permeability", + "bbox_points": [ + 295.71, + 484.27, + 340.58, + 492.29 + ] + }, + { + "text": "¼", + "bbox_points": [ + 342.08, + 483.99, + 348.24, + 491.99 + ] + }, + { + "text": "Flux", + "bbox_points": [ + 383.53, + 484.27, + 399.33, + 492.29 + ] + }, + { + "text": "recovery", + "bbox_points": [ + 401.73, + 484.27, + 432.22, + 492.29 + ] + }, + { + "text": "ratio", + "bbox_points": [ + 434.61, + 484.27, + 451.06, + 492.29 + ] + }, + { + "text": "(FRR)", + "bbox_points": [ + 453.43, + 484.27, + 474.81, + 492.29 + ] + }, + { + "text": "Li", + "bbox_points": [ + 487.9, + 484.27, + 495.55, + 492.29 + ] + }, + { + "text": "et", + "bbox_points": [ + 497.93, + 484.17, + 504.25, + 492.17 + ] + }, + { + "text": "al.", + "bbox_points": [ + 506.61, + 484.17, + 515.52, + 492.17 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 517.89, + 484.27, + 541.04, + 492.29 + ] + } + ] + }, + { + "text": "with zwitter ion contaminated 1.65 L/h/m2/bar, pressure ¼ 15 for BSA (98.9%), SA", + "bbox_points": [ + 84.93, + 493.23, + 465.59, + 502.78 + ], + "words": [ + { + "text": "with", + "bbox_points": [ + 84.93, + 494.76, + 100.9, + 502.78 + ] + }, + { + "text": "zwitter", + "bbox_points": [ + 103.29, + 494.76, + 128.17, + 502.78 + ] + }, + { + "text": "ion", + "bbox_points": [ + 130.56, + 494.76, + 142.21, + 502.78 + ] + }, + { + "text": "contaminated", + "bbox_points": [ + 186.24, + 494.76, + 235.43, + 502.78 + ] + }, + { + "text": "1.65", + "bbox_points": [ + 261.98, + 494.76, + 277.22, + 502.78 + ] + }, + { + "text": "L/h/m2/bar,", + "bbox_points": [ + 279.16, + 493.23, + 323.96, + 502.78 + ] + }, + { + "text": "pressure", + "bbox_points": [ + 326.32, + 494.76, + 356.06, + 502.78 + ] + }, + { + "text": "¼", + "bbox_points": [ + 357.62, + 494.48, + 363.78, + 502.48 + ] + }, + { + "text": "15", + "bbox_points": [ + 365.39, + 494.76, + 374.22, + 502.78 + ] + }, + { + "text": "for", + "bbox_points": [ + 391.52, + 494.76, + 401.75, + 502.78 + ] + }, + { + "text": "BSA", + "bbox_points": [ + 404.11, + 494.76, + 420.43, + 502.78 + ] + }, + { + "text": "(98.9%),", + "bbox_points": [ + 422.81, + 494.76, + 452.55, + 502.78 + ] + }, + { + "text": "SA", + "bbox_points": [ + 454.85, + 494.76, + 465.59, + 502.78 + ] + } + ] + }, + { + "text": "water bar, temperature ¼ 25 °C salt (99.0%), and SDS", + "bbox_points": [ + 186.24, + 504.97, + 455.49, + 513.27 + ], + "words": [ + { + "text": "water", + "bbox_points": [ + 186.24, + 505.25, + 206.06, + 513.26 + ] + }, + { + "text": "bar,", + "bbox_points": [ + 261.98, + 505.25, + 275.71, + 513.27 + ] + }, + { + "text": "temperature", + "bbox_points": [ + 278.08, + 505.25, + 321.31, + 513.27 + ] + }, + { + "text": "¼", + "bbox_points": [ + 322.87, + 504.97, + 329.03, + 512.97 + ] + }, + { + "text": "25", + "bbox_points": [ + 330.58, + 505.25, + 339.41, + 513.27 + ] + }, + { + "text": "°C", + "bbox_points": [ + 341.41, + 505.25, + 349.89, + 513.27 + ] + }, + { + "text": "salt", + "bbox_points": [ + 352.23, + 505.25, + 364.63, + 513.27 + ] + }, + { + "text": "(99.0%),", + "bbox_points": [ + 391.52, + 505.25, + 421.26, + 513.26 + ] + }, + { + "text": "and", + "bbox_points": [ + 423.55, + 505.25, + 437.03, + 513.26 + ] + }, + { + "text": "SDS", + "bbox_points": [ + 439.43, + 505.25, + 455.49, + 513.26 + ] + } + ] + }, + { + "text": "concentration ¼ 15 ppm (95.8%)", + "bbox_points": [ + 261.98, + 515.46, + 419.26, + 523.75 + ], + "words": [ + { + "text": "concentration", + "bbox_points": [ + 261.98, + 515.74, + 311.75, + 523.75 + ] + }, + { + "text": "¼", + "bbox_points": [ + 313.28, + 515.46, + 319.44, + 523.46 + ] + }, + { + "text": "15", + "bbox_points": [ + 321.05, + 515.74, + 329.88, + 523.75 + ] + }, + { + "text": "ppm", + "bbox_points": [ + 331.82, + 515.74, + 347.98, + 523.75 + ] + }, + { + "text": "(95.8%)", + "bbox_points": [ + 391.52, + 515.74, + 419.26, + 523.75 + ] + } + ] + }, + { + "text": "Note: COD chemical oxygen demand; TSS total suspended solids; TOC total organic carbon; BSA bovine serum albumin; SDS sodium dodecyl sulfate; SA sodium alginate", + "bbox_points": [ + 43.43, + 532.08, + 514.29, + 538.12 + ], + "words": [ + { + "text": "Note:", + "bbox_points": [ + 43.43, + 532.08, + 58.03, + 538.08 + ] + }, + { + "text": "COD", + "bbox_points": [ + 60.04, + 532.12, + 72.09, + 538.12 + ] + }, + { + "text": "chemical", + 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304.92 + ] + }, + { + "text": "TTGGGGATGTGAGACTAC", + "bbox_points": [ + 163.79, + 296.9, + 269.88, + 304.92 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_01.txt b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..29585bebda88ea3f1bcb2d2896e1acdd3b1cdad3 --- /dev/null +++ b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_01.txt @@ -0,0 +1 @@ +Primer sequences used in the current study diff --git a/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_02.jpg b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales 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resources and healthy carriers A survey/table_02.json @@ -0,0 +1,3236 @@ +{ + "kind": "table", + "label": "table_02", + "number": 2, + "caption": "Prevalence of carbapenem resistance among Enterobacterales spp. collected from healthy carriers and wastewater resources", + "page": 5, + "table_bbox_points": [ + 61.01, + 85.16, + 569.02, + 489.99 + ], + "caption_bbox_points": [ + 64.01, + 75.51, + 558.87, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 33, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Organism Source CRE n (%) Total n (%)", + "bbox_points": [ + 64.01, + 99.68, + 566.01, + 105.72 + ], + "words": [ + { + "text": "Organism", + "bbox_points": [ + 64.01, + 99.72, + 93.68, + 105.72 + ] + }, + { + "text": "Source", + "bbox_points": [ + 214.81, + 99.72, + 236.22, + 105.72 + ] + }, + { + "text": "CRE", + "bbox_points": [ + 463.07, + 99.72, + 475.06, + 105.72 + ] + }, + { + "text": "n", + "bbox_points": [ + 477.07, + 99.68, + 481.07, + 105.69 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 483.02, + 99.72, + 492.2, + 105.72 + ] + }, + { + "text": "Total", + "bbox_points": [ + 533.48, + 99.72, + 548.9, + 105.72 + ] + }, + { + "text": "n", + "bbox_points": [ + 550.83, + 99.68, + 554.82, + 105.69 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 556.84, + 99.72, + 566.01, + 105.72 + ] + } + ] + }, + { + "text": "Escherichia coli N ¼ 269 Healthy carriers N ¼ 170 21 (12) 49 (18)", + "bbox_points": [ + 64.01, + 114.58, + 558.97, + 122.88 + ], + "words": [ + { + "text": "Escherichia", + "bbox_points": [ + 64.01, + 114.76, + 105.71, + 122.76 + ] + }, + { + "text": "coli", + "bbox_points": [ + 107.94, + 114.76, + 121.1, + 122.76 + ] + }, + { + "text": "N", + "bbox_points": [ + 123.48, + 114.76, + 129.89, + 122.76 + ] + }, + { + "text": "¼", + "bbox_points": [ + 131.41, + 114.58, + 137.57, + 122.58 + ] + }, + { + "text": "269", + "bbox_points": [ + 139.18, + 114.86, + 152.43, + 122.88 + ] + }, + { + "text": "Healthy", + "bbox_points": [ + 214.81, + 114.86, + 243.53, + 122.88 + ] + }, + { + "text": "carriers", + "bbox_points": [ + 245.93, + 114.86, + 273.23, + 122.88 + ] + }, + { + "text": "N", + "bbox_points": [ + 275.58, + 114.76, + 282.0, + 122.76 + ] + }, + { + "text": "¼", + "bbox_points": [ + 283.52, + 114.58, + 289.68, + 122.58 + ] + }, + { + "text": "170", + "bbox_points": [ + 291.29, + 114.86, + 304.54, + 122.88 + ] + }, + { + "text": "21", + "bbox_points": [ + 463.07, + 114.86, + 471.9, + 122.88 + ] + }, + { + "text": "(12)", + "bbox_points": [ + 474.29, + 114.86, + 488.61, + 122.88 + ] + }, + { + "text": "49", + "bbox_points": [ + 533.48, + 114.86, + 542.31, + 122.88 + ] + }, + { + "text": "(18)", + "bbox_points": [ + 544.65, + 114.86, + 558.97, + 122.88 + ] + } + ] + }, + { + "text": "Hospital wastewater N ¼ 33 11 (33)", + "bbox_points": [ + 214.81, + 125.13, + 488.61, + 133.42 + ], + "words": [ + { + "text": "Hospital", + "bbox_points": [ + 214.81, + 125.41, + 245.59, + 133.42 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 247.97, + 125.41, + 287.7, + 133.42 + ] + }, + { + "text": "N", + "bbox_points": [ + 290.1, + 125.31, + 296.51, + 133.31 + ] + }, + { + "text": "¼", + "bbox_points": [ + 298.09, + 125.13, + 304.25, + 133.13 + ] + }, + { + "text": "33", + "bbox_points": [ + 305.8, + 125.41, + 314.63, + 133.42 + ] + }, + { + "text": "11", + "bbox_points": [ + 463.07, + 125.41, + 471.9, + 133.42 + ] + }, + { + "text": "(33)", + "bbox_points": [ + 474.29, + 125.41, + 488.61, + 133.42 + ] + } + ] + }, + { + "text": "Municipal wastewater N ¼ 45 7 (15/5)", + "bbox_points": [ + 214.81, + 135.62, + 492.18, + 143.91 + ], + "words": [ + { + "text": "Municipal", + "bbox_points": [ + 214.81, + 135.9, + 251.5, + 143.91 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 253.93, + 135.9, + 293.6, + 143.91 + ] + }, + { + "text": "N", + "bbox_points": [ + 295.99, + 135.79, + 302.41, + 143.79 + ] + }, + { + "text": "¼", + "bbox_points": [ + 303.99, + 135.62, + 310.15, + 143.62 + ] + }, + { + "text": "45", + "bbox_points": [ + 311.7, + 135.9, + 320.53, + 143.91 + ] + }, + { + "text": "7", + "bbox_points": [ + 463.07, + 135.9, + 467.48, + 143.91 + ] + }, + { + "text": "(15/5)", + "bbox_points": [ + 469.87, + 135.9, + 492.18, + 143.91 + ] + } + ] + }, + { + "text": "Livestock and poultry slaughterhouses wastewater N ¼ 21 10 (48)", + "bbox_points": [ + 214.81, + 146.1, + 488.61, + 154.4 + ], + "words": [ + { + "text": "Livestock", + "bbox_points": [ + 214.81, + 146.38, + 249.3, + 154.4 + ] + }, + { + "text": "and", + "bbox_points": [ + 251.66, + 146.38, + 265.14, + 154.4 + ] + }, + { + "text": "poultry", + "bbox_points": [ + 267.53, + 146.38, + 293.33, + 154.4 + ] + }, + { + "text": "slaughterhouses", + "bbox_points": [ + 295.48, + 146.38, + 352.84, + 154.4 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 355.24, + 146.38, + 394.97, + 154.4 + ] + }, + { + "text": "N", + "bbox_points": [ + 397.3, + 146.28, + 403.72, + 154.28 + ] + }, + { + "text": "¼", + "bbox_points": [ + 405.3, + 146.1, + 411.46, + 154.1 + ] + }, + { + "text": "21", + "bbox_points": [ + 413.01, + 146.38, + 421.84, + 154.4 + ] + }, + { + "text": "10", + "bbox_points": [ + 463.07, + 146.38, + 471.9, + 154.4 + ] + }, + { + "text": "(48)", + "bbox_points": [ + 474.29, + 146.38, + 488.61, + 154.4 + ] + } + ] + }, + { + "text": "Citrobacter spp. N ¼ 110 Healthy carriers N ¼ 71 21 (30) 26 (24)", + "bbox_points": [ + 64.01, + 160.11, + 558.97, + 168.4 + ], + "words": [ + { + "text": "Citrobacter", + "bbox_points": [ + 64.01, + 160.28, + 102.95, + 168.28 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 105.34, + 160.39, + 119.82, + 168.4 + ] + }, + { + "text": "N", + "bbox_points": [ + 122.23, + 160.28, + 128.65, + 168.28 + ] + }, + { + "text": "¼", + "bbox_points": [ + 130.17, + 160.11, + 136.33, + 168.11 + ] + }, + { + "text": "110", + "bbox_points": [ + 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"bbox_points": [ + 214.81, + 170.87, + 245.59, + 178.89 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 247.97, + 170.87, + 287.7, + 178.89 + ] + }, + { + "text": "N", + "bbox_points": [ + 290.1, + 170.77, + 296.51, + 178.77 + ] + }, + { + "text": "¼", + "bbox_points": [ + 298.09, + 170.59, + 304.25, + 178.59 + ] + }, + { + "text": "7", + "bbox_points": [ + 305.8, + 170.87, + 310.22, + 178.89 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 170.87, + 467.48, + 178.89 + ] + }, + { + "text": "(14)", + "bbox_points": [ + 469.87, + 170.87, + 484.19, + 178.89 + ] + } + ] + }, + { + "text": "Municipal wastewater N ¼ 14 3 (21)", + "bbox_points": [ + 214.81, + 181.08, + 484.19, + 189.38 + ], + "words": [ + { + "text": "Municipal", + "bbox_points": [ + 214.81, + 181.36, + 251.5, + 189.38 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 253.93, + 181.36, + 293.6, + 189.38 + ] + }, + { + "text": "N", + "bbox_points": [ + 295.99, + 181.26, + 302.41, + 189.26 + ] + }, + { + "text": "¼", + "bbox_points": [ + 303.99, + 181.08, + 310.15, + 189.08 + ] + }, + { + "text": "14", + "bbox_points": [ + 311.7, + 181.36, + 320.53, + 189.38 + ] + }, + { + "text": "3", + "bbox_points": [ + 463.07, + 181.36, + 467.48, + 189.38 + ] + }, + { + "text": "(21)", + "bbox_points": [ + 469.87, + 181.36, + 484.19, + 189.38 + ] + } + ] + }, + { + "text": "Livestock and poultry slaughterhouses wastewater N ¼ 18 1 (5.5)", + "bbox_points": [ + 214.81, + 191.63, + 486.19, + 199.92 + ], + "words": [ + { + "text": "Livestock", + "bbox_points": [ + 214.81, + 191.91, + 249.3, + 199.92 + ] + }, + { + "text": "and", + "bbox_points": [ + 251.66, + 191.91, + 265.14, + 199.92 + ] + }, + { + "text": "poultry", + "bbox_points": [ + 267.53, + 191.91, + 293.33, + 199.92 + ] + }, + { + "text": "slaughterhouses", + "bbox_points": [ + 295.48, + 191.91, + 352.84, + 199.92 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 355.24, + 191.91, + 394.97, + 199.92 + ] + }, + { + "text": "N", + "bbox_points": [ + 397.3, + 191.81, + 403.72, + 199.81 + ] + }, + { + "text": "¼", + "bbox_points": [ + 405.3, + 191.63, + 411.46, + 199.63 + ] + }, + { + "text": "18", + "bbox_points": [ + 413.01, + 191.91, + 421.84, + 199.92 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 191.91, + 467.48, + 199.92 + ] + }, + { + "text": "(5.5)", + "bbox_points": [ + 469.87, + 191.91, + 486.19, + 199.92 + ] + } + ] + }, + { + "text": "Klebsiella pneumoniae N ¼ 83 Healthy carriers N ¼ 11 5 (45) 23 (28)", + "bbox_points": [ + 64.01, + 205.57, + 558.97, + 213.87 + ], + "words": [ + { + "text": "Klebsiella", + "bbox_points": [ + 64.01, + 205.75, + 99.73, + 213.75 + ] + }, + { + "text": "pneumoniae", + "bbox_points": [ + 102.05, + 205.75, + 146.66, + 213.75 + ] + }, + { + "text": "N", + "bbox_points": [ + 149.05, + 205.75, + 155.46, + 213.75 + ] + }, + { + "text": "¼", + "bbox_points": [ + 157.04, + 205.57, + 163.2, + 213.57 + ] + }, + { + "text": "83", + "bbox_points": [ + 164.75, + 205.85, + 173.58, + 213.87 + ] + }, + { + "text": "Healthy", + "bbox_points": [ + 214.81, + 205.85, + 243.53, + 213.87 + ] + }, + { + "text": "carriers", + "bbox_points": [ + 245.93, + 205.85, + 273.23, + 213.87 + ] + }, + { + "text": "N", + "bbox_points": [ + 275.58, + 205.75, + 282.0, + 213.75 + ] + }, + { + "text": "¼", + "bbox_points": [ + 283.52, + 205.57, + 289.68, + 213.57 + ] + }, + { + "text": "11", + "bbox_points": [ + 291.29, + 205.85, + 300.12, + 213.87 + ] + }, + { + "text": "5", + "bbox_points": [ + 463.07, + 205.85, + 467.48, + 213.87 + ] + }, + { + "text": "(45)", + "bbox_points": [ + 469.87, + 205.85, + 484.19, + 213.87 + ] + }, + { + "text": "23", + "bbox_points": [ + 533.48, + 205.85, + 542.31, + 213.87 + ] + }, + { + "text": "(28)", + "bbox_points": [ + 544.65, + 205.85, + 558.97, + 213.87 + ] + } + ] + }, + { + "text": "Hospital wastewater N ¼ 27 10 (37)", + "bbox_points": [ + 214.81, + 216.12, + 488.61, + 224.41 + ], + "words": [ + { + "text": "Hospital", + "bbox_points": [ + 214.81, + 216.4, + 245.59, + 224.41 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 247.97, + 216.4, + 287.7, + 224.41 + ] + }, + { + "text": "N", + "bbox_points": [ + 290.1, + 216.3, + 296.51, + 224.3 + ] + }, + { + "text": "¼", + "bbox_points": [ + 298.09, + 216.12, + 304.25, + 224.12 + ] + }, + { + "text": "27", + "bbox_points": [ + 305.8, + 216.4, + 314.63, + 224.41 + ] + }, + { + "text": "10", + "bbox_points": [ + 463.07, + 216.4, + 471.9, + 224.41 + ] + }, + { + "text": "(37)", + "bbox_points": [ + 474.29, + 216.4, + 488.61, + 224.41 + ] + } + ] + }, + { + "text": "Municipal wastewater N ¼ 38 6 (16)", + "bbox_points": [ + 214.81, + 226.61, + 484.19, + 234.9 + ], + "words": [ + { + "text": "Municipal", + "bbox_points": [ + 214.81, + 226.89, + 251.5, + 234.9 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 253.93, + 226.89, + 293.6, + 234.9 + ] + }, + { + "text": "N", + "bbox_points": [ + 295.99, + 226.78, + 302.41, + 234.78 + ] + }, + { + "text": "¼", + "bbox_points": [ + 303.99, + 226.61, + 310.15, + 234.61 + ] + }, + { + "text": "38", + "bbox_points": [ + 311.7, + 226.89, + 320.53, + 234.9 + ] + }, + { + "text": "6", + "bbox_points": [ + 463.07, + 226.89, + 467.48, + 234.9 + ] + }, + { + "text": "(16)", + "bbox_points": [ + 469.87, + 226.89, + 484.19, + 234.9 + ] + } + ] + }, + { + "text": "Livestock and poultry slaughterhouses wastewater N ¼ 7 2 (28.5)", + "bbox_points": [ + 214.81, + 237.09, + 490.6, + 245.39 + ], + "words": [ + { + "text": "Livestock", + "bbox_points": [ + 214.81, + 237.37, + 249.3, + 245.39 + ] + }, + { + "text": "and", + "bbox_points": [ + 251.66, + 237.37, + 265.14, + 245.39 + ] + }, + { + "text": "poultry", + "bbox_points": [ + 267.53, + 237.37, + 293.33, + 245.39 + ] + }, + { + "text": "slaughterhouses", + "bbox_points": [ + 295.48, + 237.37, + 352.84, + 245.39 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 355.24, + 237.37, + 394.97, + 245.39 + ] + }, + { + "text": "N", + "bbox_points": [ + 397.3, + 237.27, + 403.72, + 245.27 + ] + }, + { + "text": "¼", + "bbox_points": [ + 405.3, + 237.09, + 411.46, + 245.09 + ] + }, + { + "text": "7", + "bbox_points": [ + 413.01, + 237.37, + 417.42, + 245.39 + ] + }, + { + "text": "2", + "bbox_points": [ + 463.07, + 237.37, + 467.48, + 245.39 + ] + }, + { + "text": "(28.5)", + "bbox_points": [ + 469.87, + 237.37, + 490.6, + 245.39 + ] + } + ] + }, + { + "text": "Proteus spp. N ¼ 60 Healthy carriers N ¼ 35 11 (31) 24 (40)", + "bbox_points": [ + 64.01, + 251.1, + 558.97, + 259.39 + ], + "words": [ + { + "text": "Proteus", + "bbox_points": [ + 64.01, + 251.27, + 91.04, + 259.27 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 93.37, + 251.38, + 107.85, + 259.39 + ] + }, + { + "text": "N", + "bbox_points": [ + 110.27, + 251.27, + 116.68, + 259.27 + ] + }, + { + "text": "¼", + "bbox_points": [ + 118.2, + 251.1, + 124.36, + 259.1 + ] + }, + { + "text": "60", + "bbox_points": [ + 125.97, + 251.38, + 134.8, + 259.39 + ] + }, + { + "text": "Healthy", + "bbox_points": [ + 214.81, + 251.38, + 243.53, + 259.39 + ] + }, + { + "text": "carriers", + "bbox_points": [ + 245.93, + 251.38, + 273.23, + 259.39 + ] + }, + { + "text": "N", + "bbox_points": [ + 275.58, + 251.27, + 282.0, + 259.27 + ] + }, + { + "text": "¼", + "bbox_points": [ + 283.52, + 251.1, + 289.68, + 259.1 + ] + }, + { + "text": "35", + "bbox_points": [ + 291.29, + 251.38, + 300.12, + 259.39 + ] + }, + { + "text": "11", + "bbox_points": [ + 463.07, + 251.38, + 471.9, + 259.39 + ] + }, + { + "text": "(31)", + "bbox_points": [ + 474.29, + 251.38, + 488.61, + 259.39 + ] + }, + { + "text": "24", + "bbox_points": [ + 533.48, + 251.38, + 542.31, + 259.39 + ] + }, + { + "text": "(40)", + "bbox_points": [ + 544.65, + 251.38, + 558.97, + 259.39 + ] + } + ] + }, + { + "text": "Hospital wastewater N ¼ 2 1 (50)", + "bbox_points": [ + 214.81, + 261.58, + 484.19, + 269.88 + ], + "words": [ + { + "text": "Hospital", + "bbox_points": [ + 214.81, + 261.86, + 245.59, + 269.88 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 247.97, + 261.86, + 287.7, + 269.88 + ] + }, + { + "text": "N", + "bbox_points": [ + 290.1, + 261.76, + 296.51, + 269.76 + ] + }, + { + "text": "¼", + "bbox_points": [ + 298.09, + 261.58, + 304.25, + 269.58 + ] + }, + { + "text": "2", + "bbox_points": [ + 305.8, + 261.86, + 310.22, + 269.88 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 261.86, + 467.48, + 269.88 + ] + }, + { + "text": "(50)", + "bbox_points": [ + 469.87, + 261.86, + 484.19, + 269.88 + ] + } + ] + }, + { + "text": "Municipal wastewater N ¼ 2 1 (50)", + "bbox_points": [ + 214.81, + 272.07, + 484.19, + 280.37 + ], + "words": [ + { + "text": "Municipal", + "bbox_points": [ + 214.81, + 272.35, + 251.5, + 280.37 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 253.93, + 272.35, + 293.6, + 280.37 + ] + }, + { + "text": "N", + "bbox_points": [ + 295.99, + 272.25, + 302.41, + 280.25 + ] + }, + { + "text": "¼", + "bbox_points": [ + 303.99, + 272.07, + 310.15, + 280.07 + ] + }, + { + "text": "2", + "bbox_points": [ + 311.7, + 272.35, + 316.11, + 280.37 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 272.35, + 467.48, + 280.37 + ] + }, + { + "text": "(50)", + "bbox_points": [ + 469.87, + 272.35, + 484.19, + 280.37 + ] + } + ] + }, + { + "text": "Livestock and poultry slaughterhouses wastewater N ¼ 21 11 (52)", + "bbox_points": [ + 214.81, + 282.62, + 488.61, + 290.91 + ], + "words": [ + { + "text": "Livestock", + "bbox_points": [ + 214.81, + 282.9, + 249.3, + 290.91 + ] + }, + { + "text": "and", + "bbox_points": [ + 251.66, + 282.9, + 265.14, + 290.91 + ] + }, + { + "text": "poultry", + "bbox_points": [ + 267.53, + 282.9, + 293.33, + 290.91 + ] + }, + { + "text": "slaughterhouses", + "bbox_points": [ + 295.48, + 282.9, + 352.84, + 290.91 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 355.24, + 282.9, + 394.96, + 290.91 + ] + }, + { + "text": "N", + "bbox_points": [ + 397.3, + 282.8, + 403.72, + 290.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 405.3, + 282.62, + 411.46, + 290.62 + ] + }, + { + "text": "21", + "bbox_points": [ + 413.01, + 282.9, + 421.84, + 290.91 + ] + }, + { + "text": "11", + "bbox_points": [ + 463.07, + 282.9, + 471.9, + 290.91 + ] + }, + { + "text": "(52)", + "bbox_points": [ + 474.29, + 282.9, + 488.61, + 290.91 + ] + } + ] + }, + { + "text": "Enterobacter spp. N ¼ 28 Healthy carriers N ¼ 11 5 (45) 7 (25)", + "bbox_points": [ + 64.01, + 296.62, + 554.6, + 304.92 + ], + "words": [ + { + "text": "Enterobacter", + "bbox_points": [ + 64.01, + 296.8, + 108.96, + 304.8 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 111.35, + 296.9, + 125.83, + 304.92 + ] + }, + { + "text": "N", + "bbox_points": [ + 128.18, + 296.8, + 134.6, + 304.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 136.18, + 296.62, + 142.34, + 304.62 + ] + }, + { + "text": "28", + "bbox_points": [ + 143.89, + 296.9, + 152.72, + 304.92 + ] + }, + { + "text": "Healthy", + "bbox_points": [ + 214.81, + 296.9, + 243.53, + 304.92 + ] + }, + { + "text": "carriers", + "bbox_points": [ + 245.93, + 296.9, + 273.23, + 304.92 + ] + }, + { + "text": "N", + "bbox_points": [ + 275.58, + 296.8, + 282.0, + 304.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 283.52, + 296.62, + 289.68, + 304.62 + ] + }, + { + "text": "11", + "bbox_points": [ + 291.29, + 296.9, + 300.12, + 304.92 + ] + }, + { + "text": "5", + "bbox_points": [ + 463.07, + 296.9, + 467.48, + 304.92 + ] + }, + { + "text": "(45)", + "bbox_points": [ + 469.87, + 296.9, + 484.19, + 304.92 + ] + }, + { + "text": "7", + "bbox_points": [ + 533.48, + 296.9, + 537.89, + 304.92 + ] + }, + { + "text": "(25)", + "bbox_points": [ + 540.28, + 296.9, + 554.6, + 304.92 + ] + } + ] + }, + { + "text": "Municipal wastewater N ¼ 16 2 (12.5)", + "bbox_points": [ + 214.81, + 307.11, + 490.6, + 315.4 + ], + "words": [ + { + "text": "Municipal", + "bbox_points": [ + 214.81, + 307.39, + 251.5, + 315.4 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 253.93, + 307.39, + 293.6, + 315.4 + ] + }, + { + "text": "N", + "bbox_points": [ + 295.99, + 307.29, + 302.41, + 315.29 + ] + }, + { + "text": "¼", + "bbox_points": [ + 303.99, + 307.11, + 310.15, + 315.11 + ] + }, + { + "text": "16", + "bbox_points": [ + 311.7, + 307.39, + 320.53, + 315.4 + ] + }, + { + "text": "2", + "bbox_points": [ + 463.07, + 307.39, + 467.48, + 315.4 + ] + }, + { + "text": "(12.5)", + "bbox_points": [ + 469.87, + 307.39, + 490.6, + 315.4 + ] + } + ] + }, + { + "text": "Livestock and poultry slaughterhouses wastewater N ¼ 1 0", + "bbox_points": [ + 214.81, + 317.6, + 467.48, + 325.89 + ], + "words": [ + { + "text": "Livestock", + "bbox_points": [ + 214.81, + 317.88, + 249.3, + 325.89 + ] + }, + { + "text": "and", + "bbox_points": [ + 251.66, + 317.88, + 265.14, + 325.89 + ] + }, + { + "text": "poultry", + "bbox_points": [ + 267.53, + 317.88, + 293.33, + 325.89 + ] + }, + { + "text": "slaughterhouses", + "bbox_points": [ + 295.48, + 317.88, + 352.84, + 325.89 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 355.24, + 317.88, + 394.96, + 325.89 + ] + }, + { + "text": "N", + "bbox_points": [ + 397.3, + 317.77, + 403.72, + 325.77 + ] + }, + { + "text": "¼", + "bbox_points": [ + 405.3, + 317.6, + 411.46, + 325.6 + ] + }, + { + "text": "1", + "bbox_points": [ + 413.01, + 317.88, + 417.42, + 325.89 + ] + }, + { + "text": "0", + "bbox_points": [ + 463.07, + 317.88, + 467.48, + 325.89 + ] + } + ] + }, + { + "text": "Yersinia spp. N ¼ 23 Healthy carriers N ¼ 5 1 (20) 4 (17)", + "bbox_points": [ + 64.01, + 331.6, + 554.6, + 339.89 + ], + "words": [ + { + "text": "Yersinia", + "bbox_points": [ + 64.01, + 331.78, + 93.45, + 339.78 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 95.81, + 331.88, + 110.29, + 339.89 + ] + }, + { + "text": "N", + "bbox_points": [ + 112.65, + 331.78, + 119.06, + 339.78 + ] + }, + { + "text": "¼", + "bbox_points": [ + 120.64, + 331.6, + 126.8, + 339.6 + ] + }, + { + "text": "23", + "bbox_points": [ + 128.35, + 331.88, + 137.18, + 339.89 + ] + }, + { + "text": "Healthy", + "bbox_points": [ + 214.81, + 331.88, + 243.53, + 339.89 + ] + }, + { + "text": "carriers", + "bbox_points": [ + 245.93, + 331.88, + 273.23, + 339.89 + ] + }, + { + "text": "N", + "bbox_points": [ + 275.58, + 331.78, + 282.0, + 339.78 + ] + }, + { + "text": "¼", + "bbox_points": [ + 283.52, + 331.6, + 289.68, + 339.6 + ] + }, + { + "text": "5", + "bbox_points": [ + 291.29, + 331.88, + 295.7, + 339.89 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 331.88, + 467.48, + 339.89 + ] + }, + { + "text": "(20)", + "bbox_points": [ + 469.87, + 331.88, + 484.19, + 339.89 + ] + }, + { + "text": "4", + "bbox_points": [ + 533.48, + 331.88, + 537.89, + 339.89 + ] + }, + { + "text": "(17)", + "bbox_points": [ + 540.28, + 331.88, + 554.6, + 339.89 + ] + } + ] + }, + { + "text": "Municipal wastewater N ¼ 13 2 (15)", + "bbox_points": [ + 214.81, + 342.09, + 484.19, + 350.39 + ], + "words": [ + { + "text": "Municipal", + "bbox_points": [ + 214.81, + 342.37, + 251.5, + 350.38 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 253.93, + 342.37, + 293.6, + 350.38 + ] + }, + { + "text": "N", + "bbox_points": [ + 295.99, + 342.27, + 302.41, + 350.27 + ] + }, + { + "text": "¼", + "bbox_points": [ + 303.99, + 342.09, + 310.15, + 350.09 + ] + }, + { + "text": "13", + "bbox_points": [ + 311.7, + 342.37, + 320.53, + 350.39 + ] + }, + { + "text": "2", + "bbox_points": [ + 463.07, + 342.37, + 467.48, + 350.39 + ] + }, + { + "text": "(15)", + "bbox_points": [ + 469.87, + 342.37, + 484.19, + 350.39 + ] + } + ] + }, + { + "text": "Livestock and poultry slaughterhouses wastewater N ¼ 5 1 (20)", + "bbox_points": [ + 214.81, + 352.58, + 484.19, + 360.88 + ], + "words": [ + { + "text": "Livestock", + "bbox_points": [ + 214.81, + 352.86, + 249.3, + 360.88 + ] + }, + { + "text": "and", + "bbox_points": [ + 251.66, + 352.86, + 265.14, + 360.88 + ] + }, + { + "text": "poultry", + "bbox_points": [ + 267.53, + 352.86, + 293.33, + 360.88 + ] + }, + { + "text": "slaughterhouses", + "bbox_points": [ + 295.48, + 352.86, + 352.84, + 360.88 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 355.24, + 352.86, + 394.97, + 360.88 + ] + }, + { + "text": "N", + "bbox_points": [ + 397.3, + 352.76, + 403.72, + 360.76 + ] + }, + { + "text": "¼", + "bbox_points": [ + 405.3, + 352.58, + 411.46, + 360.58 + ] + }, + { + "text": "5", + "bbox_points": [ + 413.01, + 352.86, + 417.42, + 360.88 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 352.86, + 467.48, + 360.88 + ] + }, + { + "text": "(20)", + "bbox_points": [ + 469.87, + 352.86, + 484.19, + 360.88 + ] + } + ] + }, + { + "text": "Hafnia spp. N ¼ 19 Healthy carriers N ¼ 11 4 (36) 6 (32)", + "bbox_points": [ + 64.01, + 366.58, + 554.6, + 374.88 + ], + "words": [ + { + "text": "Hafnia", + "bbox_points": [ + 64.01, + 366.76, + 89.1, + 374.76 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 91.5, + 366.86, + 105.98, + 374.88 + ] + }, + { + "text": "N", + "bbox_points": [ + 108.34, + 366.76, + 114.76, + 374.76 + ] + }, + { + "text": "¼", + "bbox_points": [ + 116.33, + 366.58, + 122.49, + 374.58 + ] + }, + { + "text": "19", + "bbox_points": [ + 124.04, + 366.86, + 132.88, + 374.88 + ] + }, + { + "text": "Healthy", + "bbox_points": [ + 214.81, + 366.86, + 243.53, + 374.88 + ] + }, + { + "text": "carriers", + "bbox_points": [ + 245.93, + 366.86, + 273.23, + 374.88 + ] + }, + { + "text": "N", + "bbox_points": [ + 275.58, + 366.76, + 282.0, + 374.76 + ] + }, + { + "text": "¼", + "bbox_points": [ + 283.52, + 366.58, + 289.68, + 374.58 + ] + }, + { + "text": "11", + "bbox_points": [ + 291.29, + 366.86, + 300.12, + 374.88 + ] + }, + { + "text": "4", + "bbox_points": [ + 463.07, + 366.86, + 467.48, + 374.88 + ] + }, + { + "text": "(36)", + "bbox_points": [ + 469.87, + 366.86, + 484.19, + 374.88 + ] + }, + { + "text": "6", + "bbox_points": [ + 533.48, + 366.86, + 537.9, + 374.88 + ] + }, + { + "text": "(32)", + "bbox_points": [ + 540.28, + 366.86, + 554.6, + 374.88 + ] + } + ] + }, + { + "text": "Municipal wastewater N ¼ 3 1 (33)", + "bbox_points": [ + 214.81, + 377.13, + 484.19, + 385.42 + ], + "words": [ + { + "text": "Municipal", + "bbox_points": [ + 214.81, + 377.41, + 251.5, + 385.42 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 253.93, + 377.41, + 293.6, + 385.42 + ] + }, + { + "text": "N", + "bbox_points": [ + 295.99, + 377.31, + 302.41, + 385.31 + ] + }, + { + "text": "¼", + "bbox_points": [ + 303.99, + 377.13, + 310.15, + 385.13 + ] + }, + { + "text": "3", + "bbox_points": [ + 311.7, + 377.41, + 316.11, + 385.42 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 377.41, + 467.48, + 385.42 + ] + }, + { + "text": "(33)", + "bbox_points": [ + 469.87, + 377.41, + 484.19, + 385.42 + ] + } + ] + }, + { + "text": "Livestock and poultry slaughterhouses wastewater N ¼ 5 1 (20)", + "bbox_points": [ + 214.81, + 387.61, + 484.19, + 395.91 + ], + "words": [ + { + "text": "Livestock", + "bbox_points": [ + 214.81, + 387.89, + 249.3, + 395.91 + ] + }, + { + "text": "and", + "bbox_points": [ + 251.66, + 387.89, + 265.14, + 395.91 + ] + }, + { + "text": "poultry", + "bbox_points": [ + 267.53, + 387.89, + 293.33, + 395.91 + ] + }, + { + "text": "slaughterhouses", + "bbox_points": [ + 295.48, + 387.89, + 352.84, + 395.91 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 355.24, + 387.89, + 394.97, + 395.91 + ] + }, + { + "text": "N", + "bbox_points": [ + 397.3, + 387.79, + 403.72, + 395.79 + ] + }, + { + "text": "¼", + "bbox_points": [ + 405.3, + 387.61, + 411.46, + 395.61 + ] + }, + { + "text": "5", + "bbox_points": [ + 413.01, + 387.89, + 417.42, + 395.91 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 387.89, + 467.48, + 395.91 + ] + }, + { + "text": "(20)", + "bbox_points": [ + 469.87, + 387.89, + 484.19, + 395.91 + ] + } + ] + }, + { + "text": "Providencia spp. N ¼ 14 Healthy carriers N ¼ 3 1 (33) 3 (21)", + "bbox_points": [ + 64.01, + 401.62, + 554.6, + 409.91 + ], + "words": [ + { + "text": "Providencia", + "bbox_points": [ + 64.01, + 401.8, + 106.52, + 409.8 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 108.85, + 401.9, + 123.33, + 409.91 + ] + }, + { + "text": "N", + "bbox_points": [ + 125.69, + 401.8, + 132.11, + 409.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 133.68, + 401.62, + 139.84, + 409.62 + ] + }, + { + "text": "14", + "bbox_points": [ + 141.39, + 401.9, + 150.23, + 409.91 + ] + }, + { + "text": "Healthy", + "bbox_points": [ + 214.81, + 401.9, + 243.53, + 409.91 + ] + }, + { + "text": "carriers", + "bbox_points": [ + 245.93, + 401.9, + 273.23, + 409.91 + ] + }, + { + "text": "N", + "bbox_points": [ + 275.58, + 401.8, + 282.0, + 409.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 283.52, + 401.62, + 289.68, + 409.62 + ] + }, + { + "text": "3", + "bbox_points": [ + 291.29, + 401.9, + 295.7, + 409.91 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 401.9, + 467.48, + 409.91 + ] + }, + { + "text": "(33)", + "bbox_points": [ + 469.87, + 401.9, + 484.19, + 409.91 + ] + }, + { + "text": "3", + "bbox_points": [ + 533.48, + 401.9, + 537.9, + 409.91 + ] + }, + { + "text": "(21)", + "bbox_points": [ + 540.28, + 401.9, + 554.6, + 409.91 + ] + } + ] + }, + { + "text": "Hospital wastewater N ¼ 3 1 (33)", + "bbox_points": [ + 214.81, + 412.11, + 484.19, + 420.4 + ], + "words": [ + { + "text": "Hospital", + "bbox_points": [ + 214.81, + 412.39, + 245.59, + 420.4 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 247.98, + 412.39, + 287.7, + 420.4 + ] + }, + { + "text": "N", + "bbox_points": [ + 290.1, + 412.28, + 296.51, + 420.28 + ] + }, + { + "text": "¼", + "bbox_points": [ + 298.09, + 412.11, + 304.25, + 420.11 + ] + }, + { + "text": "3", + "bbox_points": [ + 305.8, + 412.39, + 310.22, + 420.4 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 412.39, + 467.48, + 420.4 + ] + }, + { + "text": "(33)", + "bbox_points": [ + 469.87, + 412.39, + 484.19, + 420.4 + ] + } + ] + }, + { + "text": "Municipal wastewater N ¼ 6 0", + "bbox_points": [ + 214.81, + 422.59, + 467.48, + 430.89 + ], + "words": [ + { + "text": "Municipal", + "bbox_points": [ + 214.81, + 422.87, + 251.5, + 430.89 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 253.93, + 422.87, + 293.6, + 430.89 + ] + }, + { + "text": "N", + "bbox_points": [ + 295.99, + 422.77, + 302.41, + 430.77 + ] + }, + { + "text": "¼", + "bbox_points": [ + 303.99, + 422.59, + 310.15, + 430.59 + ] + }, + { + "text": "6", + "bbox_points": [ + 311.7, + 422.87, + 316.11, + 430.89 + ] + }, + { + "text": "0", + "bbox_points": [ + 463.07, + 422.87, + 467.48, + 430.89 + ] + } + ] + }, + { + "text": "Livestock and poultry slaughterhouses wastewater N ¼ 2 1 (50)", + "bbox_points": [ + 214.81, + 433.08, + 484.19, + 441.38 + ], + "words": [ + { + "text": "Livestock", + "bbox_points": [ + 214.81, + 433.36, + 249.3, + 441.38 + ] + }, + { + "text": "and", + "bbox_points": [ + 251.66, + 433.36, + 265.14, + 441.38 + ] + }, + { + "text": "poultry", + "bbox_points": [ + 267.53, + 433.36, + 293.33, + 441.38 + ] + }, + { + "text": "slaughterhouses", + "bbox_points": [ + 295.48, + 433.36, + 352.84, + 441.38 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 355.24, + 433.36, + 394.97, + 441.38 + ] + }, + { + "text": "N", + "bbox_points": [ + 397.3, + 433.26, + 403.72, + 441.26 + ] + }, + { + "text": "¼", + "bbox_points": [ + 405.3, + 433.08, + 411.46, + 441.08 + ] + }, + { + "text": "2", + "bbox_points": [ + 413.01, + 433.36, + 417.42, + 441.38 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 433.36, + 467.48, + 441.38 + ] + }, + { + "text": "(50)", + "bbox_points": [ + 469.87, + 433.36, + 484.19, + 441.38 + ] + } + ] + }, + { + "text": "Serratia spp. N ¼ 11 Healthy carriers N ¼ 2 1 (50) 4 (36)", + "bbox_points": [ + 64.01, + 447.08, + 554.6, + 455.38 + ], + "words": [ + { + "text": "Serratia", + "bbox_points": [ + 64.01, + 447.26, + 91.18, + 455.26 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 93.54, + 447.36, + 108.02, + 455.38 + ] + }, + { + "text": "N", + "bbox_points": [ + 110.44, + 447.26, + 116.86, + 455.26 + ] + }, + { + "text": "¼", + "bbox_points": [ + 118.38, + 447.08, + 124.54, + 455.08 + ] + }, + { + "text": "11", + "bbox_points": [ + 126.14, + 447.36, + 134.97, + 455.38 + ] + }, + { + "text": "Healthy", + "bbox_points": [ + 214.81, + 447.36, + 243.53, + 455.38 + ] + }, + { + "text": "carriers", + "bbox_points": [ + 245.94, + 447.36, + 273.23, + 455.38 + ] + }, + { + "text": "N", + "bbox_points": [ + 275.59, + 447.26, + 282.0, + 455.26 + ] + }, + { + "text": "¼", + "bbox_points": [ + 283.52, + 447.08, + 289.68, + 455.08 + ] + }, + { + "text": "2", + "bbox_points": [ + 291.29, + 447.36, + 295.7, + 455.38 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.07, + 447.36, + 467.48, + 455.38 + ] + }, + { + "text": "(50)", + "bbox_points": [ + 469.87, + 447.36, + 484.19, + 455.38 + ] + }, + { + "text": "4", + "bbox_points": [ + 533.48, + 447.36, + 537.9, + 455.38 + ] + }, + { + "text": "(36)", + "bbox_points": [ + 540.28, + 447.36, + 554.6, + 455.38 + ] + } + ] + }, + { + "text": "Municipal wastewater N ¼ 9 3 (33)", + "bbox_points": [ + 214.81, + 457.57, + 484.19, + 465.87 + ], + "words": [ + { + "text": "Municipal", + "bbox_points": [ + 214.81, + 457.85, + 251.5, + 465.87 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 253.93, + 457.85, + 293.6, + 465.87 + ] + }, + { + "text": "N", + "bbox_points": [ + 295.99, + 457.75, + 302.41, + 465.75 + ] + }, + { + "text": "¼", + "bbox_points": [ + 303.99, + 457.57, + 310.15, + 465.57 + ] + }, + { + "text": "9", + "bbox_points": [ + 311.7, + 457.85, + 316.11, + 465.87 + ] + }, + { + "text": "3", + "bbox_points": [ + 463.07, + 457.85, + 467.48, + 465.87 + ] + }, + { + "text": "(33)", + "bbox_points": [ + 469.87, + 457.85, + 484.19, + 465.87 + ] + } + ] + }, + { + "text": "Total N ¼ 617 146 (24)", + "bbox_points": [ + 64.01, + 471.58, + 563.39, + 479.87 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 471.86, + 82.47, + 479.87 + ] + }, + { + "text": "N", + "bbox_points": [ + 84.87, + 471.75, + 91.29, + 479.75 + ] + }, + { + "text": "¼", + "bbox_points": [ + 92.81, + 471.58, + 98.97, + 479.58 + ] + }, + { + "text": "617", + "bbox_points": [ + 100.52, + 471.86, + 113.77, + 479.87 + ] + }, + { + "text": "146", + "bbox_points": [ + 533.48, + 471.86, + 546.73, + 479.87 + ] + }, + { + "text": "(24)", + "bbox_points": [ + 549.07, + 471.86, + 563.39, + 479.87 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_02.txt b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..b900d607091ee1075947faffb18f3fe5e1810744 --- /dev/null +++ b/Figures/Khavandi et al. - 2024 - 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Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_03.json b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_03.json new file mode 100644 index 0000000000000000000000000000000000000000..133cb848ce985d95e43c9c5d5b4aaf18cb445da6 --- /dev/null +++ b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_03.json @@ -0,0 +1,2428 @@ +{ + "kind": "table", + "label": "table_03", + "number": 3, + "caption": "The antibiotic resistance profile of Enterobacterales isolates from healthy carriers, livestock, poultry, municipal, and hospital", + "page": 6, + "table_bbox_points": [ + 40.43, + 359.21, + 548.44, + 582.06 + ], + "caption_bbox_points": [ + 43.43, + 349.56, + 545.47, + 359.21 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 16, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "wastewater", + "bbox_points": [ + 82.77, + 361.19, + 124.82, + 369.19 + ], + "words": [ + { + "text": "wastewater", + "bbox_points": [ + 82.77, + 361.19, + 124.82, + 369.19 + ] + } + ] + }, + { + "text": "Antibiotics", + "bbox_points": [ + 173.25, + 383.81, + 207.22, + 389.81 + ], + "words": [ + { + "text": "Antibiotics", + "bbox_points": [ + 173.25, + 383.81, + 207.22, + 389.81 + ] + } + ] + }, + { + "text": "Imipenem Meropenem Doripenem Ertapenem", + "bbox_points": [ + 173.25, + 398.78, + 503.8, + 404.78 + ], + "words": [ + { + "text": "Imipenem", + "bbox_points": [ + 173.25, + 398.78, + 204.36, + 404.78 + ] + }, + { + "text": "Meropenem", + "bbox_points": [ + 269.18, + 398.78, + 306.68, + 404.78 + ] + }, + { + "text": "Doripenem", + "bbox_points": [ + 369.47, + 398.78, + 403.7, + 404.78 + ] + }, + { + "text": "Ertapenem", + "bbox_points": [ + 469.81, + 398.78, + 503.8, + 404.78 + ] + } + ] + }, + { + "text": "S R þ I R þ I S R þ I S R þ I", + "bbox_points": [ + 173.25, + 413.76, + 537.81, + 419.8 + ], + "words": [ + { + "text": "S", + "bbox_points": [ + 173.25, + 413.8, + 177.12, + 419.8 + ] + }, + { + "text": "R", + "bbox_points": [ + 223.43, + 413.8, + 227.49, + 419.8 + ] + }, + { + "text": "þ", + "bbox_points": [ + 228.64, + 413.76, + 233.26, + 419.76 + ] + }, + { + "text": "I", + "bbox_points": [ + 234.88, + 413.8, + 236.88, + 419.8 + ] + }, + { + "text": "R", + "bbox_points": [ + 319.35, + 413.8, + 323.41, + 419.8 + ] + }, + { + "text": "þ", + "bbox_points": [ + 324.57, + 413.76, + 329.19, + 419.76 + ] + }, + { + "text": "I", + "bbox_points": [ + 330.8, + 413.8, + 332.8, + 419.8 + ] + }, + { + "text": "S", + "bbox_points": [ + 369.47, + 413.8, + 373.34, + 419.8 + ] + }, + { + "text": "R", + "bbox_points": [ + 424.06, + 413.8, + 428.13, + 419.8 + ] + }, + { + "text": "þ", + "bbox_points": [ + 429.28, + 413.76, + 433.9, + 419.76 + ] + }, + { + "text": "I", + "bbox_points": [ + 435.52, + 413.8, + 437.51, + 419.8 + ] + }, + { + "text": "S", + "bbox_points": [ + 469.82, + 413.8, + 473.69, + 419.8 + ] + }, + { + "text": "R", + "bbox_points": [ + 524.35, + 413.8, + 528.42, + 419.8 + ] + }, + { + "text": "þ", + "bbox_points": [ + 529.63, + 413.76, + 534.25, + 419.76 + ] + }, + { + "text": "I", + "bbox_points": [ + 535.81, + 413.8, + 537.81, + 419.8 + ] + } + ] + }, + { + "text": "Organism n (%) n (%) S n (%) n (%) n (%) n (%) n (%)", + "bbox_points": [ + 43.43, + 422.78, + 539.54, + 428.82 + ], + "words": [ + { + "text": "Organism", + "bbox_points": [ + 43.43, + 422.82, + 73.1, + 428.82 + ] + }, + { + "text": "n", + "bbox_points": [ + 173.25, + 422.78, + 177.25, + 428.78 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 179.26, + 422.82, + 188.44, + 428.82 + ] + }, + { + "text": "n", + "bbox_points": [ + 223.43, + 422.78, + 227.42, + 428.78 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 229.44, + 422.82, + 238.61, + 428.82 + ] + }, + { + "text": "S", + "bbox_points": [ + 269.18, + 422.82, + 273.05, + 428.82 + ] + }, + { + "text": "n", + "bbox_points": [ + 319.35, + 422.78, + 323.35, + 428.78 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 325.31, + 422.82, + 334.48, + 428.82 + ] + }, + { + "text": "n", + "bbox_points": [ + 369.47, + 422.78, + 373.47, + 428.78 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 375.48, + 422.82, + 384.65, + 428.82 + ] + }, + { + "text": "n", + "bbox_points": [ + 424.06, + 422.78, + 428.06, + 428.78 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 430.02, + 422.82, + 439.19, + 428.82 + ] + }, + { + "text": "n", + "bbox_points": [ + 469.82, + 422.78, + 473.81, + 428.78 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 475.77, + 422.82, + 484.94, + 428.82 + ] + }, + { + "text": "n", + "bbox_points": [ + 524.36, + 422.78, + 528.35, + 428.78 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 530.36, + 422.82, + 539.54, + 428.82 + ] + } + ] + }, + { + "text": "Escherichia coli N ¼ 269 265 (99) 4 (1) 220 (82) 49 (18) 254 (94) 15 (6) 254 (94) 15 (6)", + "bbox_points": [ + 43.43, + 437.68, + 545.48, + 445.97 + ], + "words": [ + { + "text": "Escherichia", + "bbox_points": [ + 43.43, + 437.85, + 85.21, + 445.85 + ] + }, + { + "text": "coli", + "bbox_points": [ + 87.36, + 437.85, + 100.52, + 445.85 + ] + }, + { + "text": "N", + "bbox_points": [ + 102.9, + 437.85, + 109.31, + 445.85 + ] + }, + { + "text": "¼", + "bbox_points": [ + 110.89, + 437.68, + 117.05, + 445.68 + ] + }, + { + "text": "269", + "bbox_points": [ + 118.6, + 437.96, + 131.85, + 445.97 + ] + }, + { + "text": "265", + "bbox_points": [ + 173.25, + 437.96, + 186.5, + 445.97 + ] + }, + { + "text": "(99)", + "bbox_points": [ + 188.84, + 437.96, + 203.16, + 445.97 + ] + }, + { + "text": "4", + "bbox_points": [ + 223.43, + 437.96, + 227.84, + 445.97 + ] + }, + { + "text": "(1)", + "bbox_points": [ + 230.23, + 437.96, + 240.13, + 445.97 + ] + }, + { + "text": "220", + "bbox_points": [ + 269.18, + 437.96, + 282.42, + 445.97 + ] + }, + { + "text": "(82)", + "bbox_points": [ + 284.77, + 437.96, + 299.09, + 445.97 + ] + }, + { + "text": "49", + "bbox_points": [ + 319.35, + 437.96, + 328.18, + 445.97 + ] + }, + { + "text": "(18)", + "bbox_points": [ + 330.52, + 437.96, + 344.84, + 445.97 + ] + }, + { + "text": "254", + "bbox_points": [ + 369.47, + 437.96, + 382.71, + 445.97 + ] + }, + { + "text": "(94)", + "bbox_points": [ + 385.11, + 437.96, + 399.43, + 445.97 + ] + }, + { + "text": "15", + "bbox_points": [ + 424.06, + 437.96, + 432.89, + 445.97 + ] + }, + { + "text": "(6)", + "bbox_points": [ + 435.23, + 437.96, + 445.13, + 445.97 + ] + }, + { + "text": "254", + "bbox_points": [ + 469.81, + 437.96, + 483.06, + 445.97 + ] + }, + { + "text": "(94)", + "bbox_points": [ + 485.4, + 437.96, + 499.72, + 445.97 + ] + }, + { + "text": "15", + "bbox_points": [ + 524.35, + 437.96, + 533.18, + 445.97 + ] + }, + { + "text": "(6)", + "bbox_points": [ + 535.58, + 437.96, + 545.48, + 445.97 + ] + } + ] + }, + { + "text": "Citrobacter spp. N ¼ 110 107 (97) 3 (3) 84 (76) 26 (24) 110 (100) – 110 (100) –", + "bbox_points": [ + 43.43, + 451.68, + 528.35, + 459.97 + ], + "words": [ + { + "text": "Citrobacter", + "bbox_points": [ + 43.43, + 451.86, + 82.43, + 459.86 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 84.81, + 451.96, + 99.29, + 459.97 + ] + }, + { + "text": "N", + "bbox_points": [ + 101.65, + 451.86, + 108.07, + 459.86 + ] + }, + { + "text": "¼", + "bbox_points": [ + 109.64, + 451.68, + 115.8, + 459.68 + ] + }, + { + "text": "110", + "bbox_points": [ + 117.35, + 451.96, + 130.6, + 459.97 + ] + }, + { + "text": "107", + "bbox_points": [ + 173.25, + 451.96, + 186.5, + 459.97 + ] + }, + { + "text": "(97)", + "bbox_points": [ + 188.84, + 451.96, + 203.16, + 459.97 + ] + }, + { + "text": "3", + "bbox_points": [ + 223.43, + 451.96, + 227.84, + 459.97 + ] + }, + { + "text": "(3)", + "bbox_points": [ + 230.23, + 451.96, + 240.13, + 459.97 + ] + }, + { + "text": "84", + "bbox_points": [ + 269.18, + 451.96, + 278.01, + 459.97 + ] + }, + { + "text": "(76)", + "bbox_points": [ + 280.4, + 451.96, + 294.72, + 459.97 + ] + }, + { + "text": "26", + "bbox_points": [ + 319.35, + 451.96, + 328.18, + 459.97 + ] + }, + { + "text": "(24)", + "bbox_points": [ + 330.52, + 451.96, + 344.84, + 459.97 + ] + }, + { + "text": "110", + "bbox_points": [ + 369.47, + 451.96, + 382.72, + 459.97 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 385.11, + 451.96, + 403.85, + 459.97 + ] + }, + { + "text": "–", + "bbox_points": [ + 424.06, + 451.68, + 428.06, + 459.68 + ] + }, + { + "text": "110", + "bbox_points": [ + 469.81, + 451.96, + 483.06, + 459.97 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 485.4, + 451.96, + 504.14, + 459.97 + ] + }, + { + "text": "–", + "bbox_points": [ + 524.35, + 451.68, + 528.35, + 459.68 + ] + } + ] + }, + { + "text": "Klebsiella pneumoniae N ¼ 83 71 (85) 12 (15) 60 (72) 23 (28) 78 (94) 5 (6) 77 (93) 6 (7)", + "bbox_points": [ + 43.43, + 465.62, + 541.06, + 473.92 + ], + "words": [ + { + "text": "Klebsiella", + "bbox_points": [ + 43.43, + 465.8, + 79.15, + 473.8 + ] + }, + { + "text": "pneumoniae", + "bbox_points": [ + 81.47, + 465.8, + 126.09, + 473.8 + ] + }, + { + "text": "N", + "bbox_points": [ + 128.52, + 465.8, + 134.94, + 473.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 136.46, + 465.62, + 142.62, + 473.62 + ] + }, + { + "text": "83", + "bbox_points": [ + 144.17, + 465.9, + 153.0, + 473.92 + ] + }, + { + "text": "71", + "bbox_points": [ + 173.25, + 465.9, + 182.09, + 473.92 + ] + }, + { + "text": "(85)", + "bbox_points": [ + 184.48, + 465.9, + 198.8, + 473.92 + ] + }, + { + "text": "12", + "bbox_points": [ + 223.43, + 465.9, + 232.26, + 473.92 + ] + }, + { + "text": "(15)", + "bbox_points": [ + 234.6, + 465.9, + 248.92, + 473.92 + ] + }, + { + "text": "60", + "bbox_points": [ + 269.18, + 465.9, + 278.01, + 473.92 + ] + }, + { + "text": "(72)", + "bbox_points": [ + 280.4, + 465.9, + 294.72, + 473.92 + ] + }, + { + "text": "23", + "bbox_points": [ + 319.35, + 465.9, + 328.18, + 473.92 + ] + }, + { + "text": "(28)", + "bbox_points": [ + 330.52, + 465.9, + 344.84, + 473.92 + ] + }, + { + "text": "78", + "bbox_points": [ + 369.47, + 465.9, + 378.3, + 473.92 + ] + }, + { + "text": "(94)", + "bbox_points": [ + 380.69, + 465.9, + 395.01, + 473.92 + ] + }, + { + "text": "5", + "bbox_points": [ + 424.06, + 465.9, + 428.48, + 473.92 + ] + }, + { + "text": "(6)", + "bbox_points": [ + 430.87, + 465.9, + 440.77, + 473.92 + ] + }, + { + "text": "77", + "bbox_points": [ + 469.82, + 465.9, + 478.65, + 473.92 + ] + }, + { + "text": "(93)", + "bbox_points": [ + 480.98, + 465.9, + 495.3, + 473.92 + ] + }, + { + "text": "6", + "bbox_points": [ + 524.35, + 465.9, + 528.77, + 473.92 + ] + }, + { + "text": "(7)", + "bbox_points": [ + 531.16, + 465.9, + 541.06, + 473.92 + ] + } + ] + }, + { + "text": "Proteus spp. N ¼ 60 54 (90) 6 (10) 36 (60) 24 (40) 59 (98) 1 (2) 60 (100) –", + "bbox_points": [ + 43.43, + 479.63, + 528.35, + 487.92 + ], + "words": [ + { + "text": "Proteus", + "bbox_points": [ + 43.43, + 479.81, + 70.52, + 487.81 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 72.85, + 479.91, + 87.33, + 487.92 + ] + }, + { + "text": "N", + "bbox_points": [ + 89.69, + 479.81, + 96.1, + 487.81 + ] + }, + { + "text": "¼", + "bbox_points": [ + 97.68, + 479.63, + 103.84, + 487.63 + ] + }, + { + "text": "60", + "bbox_points": [ + 105.39, + 479.91, + 114.22, + 487.92 + ] + }, + { + "text": "54", + "bbox_points": [ + 173.25, + 479.91, + 182.08, + 487.92 + ] + }, + { + "text": "(90)", + "bbox_points": [ + 184.48, + 479.91, + 198.8, + 487.92 + ] + }, + { + "text": "6", + "bbox_points": [ + 223.43, + 479.91, + 227.84, + 487.92 + ] + }, + { + "text": "(10)", + "bbox_points": [ + 230.23, + 479.91, + 244.55, + 487.92 + ] + }, + { + "text": "36", + "bbox_points": [ + 269.18, + 479.91, + 278.01, + 487.92 + ] + }, + { + "text": "(60)", + "bbox_points": [ + 280.4, + 479.91, + 294.72, + 487.92 + ] + }, + { + "text": "24", + "bbox_points": [ + 319.35, + 479.91, + 328.18, + 487.92 + ] + }, + { + "text": "(40)", + "bbox_points": [ + 330.52, + 479.91, + 344.84, + 487.92 + ] + }, + { + "text": "59", + "bbox_points": [ + 369.47, + 479.91, + 378.3, + 487.92 + ] + }, + { + "text": "(98)", + "bbox_points": [ + 380.69, + 479.91, + 395.01, + 487.92 + ] + }, + { + "text": "1", + "bbox_points": [ + 424.06, + 479.91, + 428.48, + 487.92 + ] + }, + { + "text": "(2)", + "bbox_points": [ + 430.87, + 479.91, + 440.77, + 487.92 + ] + }, + { + "text": "60", + "bbox_points": [ + 469.82, + 479.91, + 478.65, + 487.92 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 480.98, + 479.91, + 499.72, + 487.92 + ] + }, + { + "text": "–", + "bbox_points": [ + 524.35, + 479.63, + 528.35, + 487.63 + ] + } + ] + }, + { + "text": "Enterobacter spp. N ¼ 28 28 (100) – 21 (75) 7 (25) 28 (100) – 28 (100) –", + "bbox_points": [ + 43.43, + 493.63, + 528.35, + 501.93 + ], + "words": [ + { + "text": "Enterobacter", + "bbox_points": [ + 43.43, + 493.81, + 88.38, + 501.81 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 90.77, + 493.91, + 105.25, + 501.93 + ] + }, + { + "text": "N", + "bbox_points": [ + 107.66, + 493.81, + 114.08, + 501.81 + ] + }, + { + "text": "¼", + "bbox_points": [ + 115.6, + 493.63, + 121.76, + 501.63 + ] + }, + { + "text": "28", + "bbox_points": [ + 123.36, + 493.91, + 132.2, + 501.93 + ] + }, + { + "text": "28", + "bbox_points": [ + 173.25, + 493.91, + 182.09, + 501.93 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 184.48, + 493.91, + 203.21, + 501.93 + ] + }, + { + "text": "–", + "bbox_points": [ + 223.43, + 493.63, + 227.43, + 501.63 + ] + }, + { + "text": "21", + "bbox_points": [ + 269.18, + 493.91, + 278.01, + 501.93 + ] + }, + { + "text": "(75)", + "bbox_points": [ + 280.4, + 493.91, + 294.72, + 501.93 + ] + }, + { + "text": "7", + "bbox_points": [ + 319.35, + 493.91, + 323.77, + 501.93 + ] + }, + { + "text": "(25)", + "bbox_points": [ + 326.15, + 493.91, + 340.47, + 501.93 + ] + }, + { + "text": "28", + "bbox_points": [ + 369.47, + 493.91, + 378.3, + 501.93 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 380.69, + 493.91, + 399.43, + 501.93 + ] + }, + { + "text": "–", + "bbox_points": [ + 424.06, + 493.63, + 428.06, + 501.63 + ] + }, + { + "text": "28", + "bbox_points": [ + 469.81, + 493.91, + 478.64, + 501.93 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 480.98, + 493.91, + 499.72, + 501.93 + ] + }, + { + "text": "–", + "bbox_points": [ + 524.35, + 493.63, + 528.35, + 501.63 + ] + } + ] + }, + { + "text": "Yersinia spp. N ¼ 23 22 (96) 1 (4) 19 (83) 4 (7) 22 (96) 1 (4) 21 (91) 2 (9)", + "bbox_points": [ + 43.43, + 507.63, + 541.06, + 515.93 + ], + "words": [ + { + "text": "Yersinia", + "bbox_points": [ + 43.43, + 507.81, + 72.92, + 515.81 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 75.23, + 507.91, + 89.71, + 515.93 + ] + }, + { + "text": "N", + "bbox_points": [ + 92.13, + 507.81, + 98.54, + 515.81 + ] + }, + { + "text": "¼", + "bbox_points": [ + 100.06, + 507.63, + 106.22, + 515.63 + ] + }, + { + "text": "23", + "bbox_points": [ + 107.83, + 507.91, + 116.66, + 515.93 + ] + }, + { + "text": "22", + "bbox_points": [ + 173.25, + 507.91, + 182.08, + 515.93 + ] + }, + { + "text": "(96)", + "bbox_points": [ + 184.48, + 507.91, + 198.8, + 515.93 + ] + }, + { + "text": "1", + "bbox_points": [ + 223.43, + 507.91, + 227.84, + 515.93 + ] + }, + { + "text": "(4)", + "bbox_points": [ + 230.23, + 507.91, + 240.13, + 515.93 + ] + }, + { + "text": "19", + "bbox_points": [ + 269.18, + 507.91, + 278.01, + 515.93 + ] + }, + { + "text": "(83)", + "bbox_points": [ + 280.4, + 507.91, + 294.72, + 515.93 + ] + }, + { + "text": "4", + "bbox_points": [ + 319.35, + 507.91, + 323.77, + 515.93 + ] + }, + { + "text": "(7)", + "bbox_points": [ + 326.15, + 507.91, + 336.06, + 515.93 + ] + }, + { + "text": "22", + "bbox_points": [ + 369.47, + 507.91, + 378.3, + 515.93 + ] + }, + { + "text": "(96)", + "bbox_points": [ + 380.69, + 507.91, + 395.01, + 515.93 + ] + }, + { + "text": "1", + "bbox_points": [ + 424.06, + 507.91, + 428.48, + 515.93 + ] + }, + { + "text": "(4)", + "bbox_points": [ + 430.87, + 507.91, + 440.77, + 515.93 + ] + }, + { + "text": "21", + "bbox_points": [ + 469.81, + 507.91, + 478.65, + 515.93 + ] + }, + { + "text": "(91)", + "bbox_points": [ + 480.98, + 507.91, + 495.3, + 515.93 + ] + }, + { + "text": "2", + "bbox_points": [ + 524.35, + 507.91, + 528.77, + 515.93 + ] + }, + { + "text": "(9)", + "bbox_points": [ + 531.16, + 507.91, + 541.06, + 515.93 + ] + } + ] + }, + { + "text": "Hafnia spp. N ¼ 19 5 (26) 14 (73) 13 (68) 6 (32) 5 (26) 14 (74) 13 (68) 6 (32)", + "bbox_points": [ + 43.43, + 521.64, + 545.47, + 529.93 + ], + "words": [ + { + "text": "Hafnia", + "bbox_points": [ + 43.43, + 521.82, + 68.58, + 529.82 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 70.92, + 521.92, + 85.4, + 529.93 + ] + }, + { + "text": "N", + "bbox_points": [ + 87.82, + 521.82, + 94.23, + 529.82 + ] + }, + { + "text": "¼", + "bbox_points": [ + 95.75, + 521.64, + 101.91, + 529.64 + ] + }, + { + "text": "19", + "bbox_points": [ + 103.46, + 521.92, + 112.29, + 529.93 + ] + }, + { + "text": "5", + "bbox_points": [ + 173.25, + 521.92, + 177.67, + 529.93 + ] + }, + { + "text": "(26)", + "bbox_points": [ + 180.05, + 521.92, + 194.37, + 529.93 + ] + }, + { + "text": "14", + "bbox_points": [ + 223.42, + 521.92, + 232.26, + 529.93 + ] + }, + { + "text": "(73)", + "bbox_points": [ + 234.59, + 521.92, + 248.91, + 529.93 + ] + }, + { + "text": "13", + "bbox_points": [ + 269.18, + 521.92, + 278.01, + 529.93 + ] + }, + { + "text": "(68)", + "bbox_points": [ + 280.4, + 521.92, + 294.72, + 529.93 + ] + }, + { + "text": "6", + "bbox_points": [ + 319.35, + 521.92, + 323.77, + 529.93 + ] + }, + { + "text": "(32)", + "bbox_points": [ + 326.15, + 521.92, + 340.47, + 529.93 + ] + }, + { + "text": "5", + "bbox_points": [ + 369.47, + 521.92, + 373.88, + 529.93 + ] + }, + { + "text": "(26)", + "bbox_points": [ + 376.27, + 521.92, + 390.59, + 529.93 + ] + }, + { + "text": "14", + "bbox_points": [ + 424.06, + 521.92, + 432.89, + 529.93 + ] + }, + { + "text": "(74)", + "bbox_points": [ + 435.23, + 521.92, + 449.55, + 529.93 + ] + }, + { + "text": "13", + "bbox_points": [ + 469.81, + 521.92, + 478.64, + 529.93 + ] + }, + { + "text": "(68)", + "bbox_points": [ + 480.98, + 521.92, + 495.3, + 529.93 + ] + }, + { + "text": "6", + "bbox_points": [ + 524.35, + 521.92, + 528.77, + 529.93 + ] + }, + { + "text": "(32)", + "bbox_points": [ + 531.15, + 521.92, + 545.47, + 529.93 + ] + } + ] + }, + { + "text": "Providencia spp. N ¼ 14 13 (93) 1 (7) 11 (79) 3 (21) 13 (93) 1 (7) 12 (86) 2 (14)", + "bbox_points": [ + 43.43, + 535.64, + 545.47, + 543.94 + ], + "words": [ + { + "text": "Providencia", + "bbox_points": [ + 43.43, + 535.82, + 85.93, + 543.82 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 88.27, + 535.92, + 102.75, + 543.94 + ] + }, + { + "text": "N", + "bbox_points": [ + 105.16, + 535.82, + 111.58, + 543.82 + ] + }, + { + "text": "¼", + "bbox_points": [ + 113.1, + 535.64, + 119.26, + 543.64 + ] + }, + { + "text": "14", + "bbox_points": [ + 120.87, + 535.92, + 129.7, + 543.94 + ] + }, + { + "text": "13", + "bbox_points": [ + 173.25, + 535.92, + 182.08, + 543.94 + ] + }, + { + "text": "(93)", + "bbox_points": [ + 184.48, + 535.92, + 198.8, + 543.94 + ] + }, + { + "text": "1", + "bbox_points": [ + 223.43, + 535.92, + 227.84, + 543.94 + ] + }, + { + "text": "(7)", + "bbox_points": [ + 230.23, + 535.92, + 240.13, + 543.94 + ] + }, + { + "text": "11", + "bbox_points": [ + 269.18, + 535.92, + 278.01, + 543.94 + ] + }, + { + "text": "(79)", + "bbox_points": [ + 280.4, + 535.92, + 294.72, + 543.94 + ] + }, + { + "text": "3", + "bbox_points": [ + 319.35, + 535.92, + 323.77, + 543.94 + ] + }, + { + "text": "(21)", + "bbox_points": [ + 326.15, + 535.92, + 340.47, + 543.94 + ] + }, + { + "text": "13", + "bbox_points": [ + 369.47, + 535.92, + 378.3, + 543.94 + ] + }, + { + "text": "(93)", + "bbox_points": [ + 380.69, + 535.92, + 395.01, + 543.94 + ] + }, + { + "text": "1", + "bbox_points": [ + 424.06, + 535.92, + 428.48, + 543.94 + ] + }, + { + "text": "(7)", + "bbox_points": [ + 430.86, + 535.92, + 440.77, + 543.94 + ] + }, + { + "text": "12", + "bbox_points": [ + 469.81, + 535.92, + 478.64, + 543.94 + ] + }, + { + "text": "(86)", + "bbox_points": [ + 480.98, + 535.92, + 495.3, + 543.94 + ] + }, + { + "text": "2", + "bbox_points": [ + 524.35, + 535.92, + 528.77, + 543.94 + ] + }, + { + "text": "(14)", + "bbox_points": [ + 531.15, + 535.92, + 545.47, + 543.94 + ] + } + ] + }, + { + "text": "Serratia spp. N ¼ 11 8 (73) 3 (27) 7 (64) 4 (36) 8 (73) 3 (27) 8 (3) 3 (27)", + "bbox_points": [ + 43.43, + 549.64, + 545.47, + 557.94 + ], + "words": [ + { + "text": "Serratia", + "bbox_points": [ + 43.43, + 549.82, + 70.66, + 557.82 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 73.02, + 549.92, + 87.5, + 557.94 + ] + }, + { + "text": "N", + "bbox_points": [ + 89.86, + 549.82, + 96.27, + 557.82 + ] + }, + { + "text": "¼", + "bbox_points": [ + 97.85, + 549.64, + 104.01, + 557.64 + ] + }, + { + "text": "11", + "bbox_points": [ + 105.56, + 549.92, + 114.39, + 557.94 + ] + }, + { + "text": "8", + "bbox_points": [ + 173.25, + 549.92, + 177.67, + 557.94 + ] + }, + { + "text": "(73)", + "bbox_points": [ + 180.05, + 549.92, + 194.37, + 557.94 + ] + }, + { + "text": "3", + "bbox_points": [ + 223.42, + 549.92, + 227.84, + 557.94 + ] + }, + { + "text": "(27)", + "bbox_points": [ + 230.23, + 549.92, + 244.55, + 557.94 + ] + }, + { + "text": "7", + "bbox_points": [ + 269.18, + 549.92, + 273.59, + 557.94 + ] + }, + { + "text": "(64)", + "bbox_points": [ + 275.98, + 549.92, + 290.3, + 557.94 + ] + }, + { + "text": "4", + "bbox_points": [ + 319.35, + 549.92, + 323.76, + 557.94 + ] + }, + { + "text": "(36)", + "bbox_points": [ + 326.15, + 549.92, + 340.47, + 557.94 + ] + }, + { + "text": "8", + "bbox_points": [ + 369.46, + 549.92, + 373.88, + 557.94 + ] + }, + { + "text": "(73)", + "bbox_points": [ + 376.27, + 549.92, + 390.59, + 557.94 + ] + }, + { + "text": "3", + "bbox_points": [ + 424.06, + 549.92, + 428.48, + 557.94 + ] + }, + { + "text": "(27)", + "bbox_points": [ + 430.86, + 549.92, + 445.18, + 557.94 + ] + }, + { + "text": "8", + "bbox_points": [ + 469.81, + 549.92, + 474.23, + 557.94 + ] + }, + { + "text": "(3)", + "bbox_points": [ + 476.61, + 549.92, + 486.52, + 557.94 + ] + }, + { + "text": "3", + "bbox_points": [ + 524.35, + 549.92, + 528.77, + 557.94 + ] + }, + { + "text": "(27)", + "bbox_points": [ + 531.15, + 549.92, + 545.47, + 557.94 + ] + } + ] + }, + { + "text": "Total N ¼ 617 573 (93) 44 (7) 471 (76) 146 (24) 577 (94) 40 (6) 578 (94) 39 (6)", + "bbox_points": [ + 43.42, + 563.65, + 545.48, + 571.94 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.42, + 563.93, + 61.88, + 571.94 + ] + }, + { + "text": "N", + "bbox_points": [ + 64.29, + 563.82, + 70.7, + 571.82 + ] + }, + { + "text": "¼", + "bbox_points": [ + 72.28, + 563.65, + 78.44, + 571.65 + ] + }, + { + "text": "617", + "bbox_points": [ + 79.99, + 563.93, + 93.24, + 571.94 + ] + }, + { + "text": "573", + "bbox_points": [ + 173.25, + 563.93, + 186.5, + 571.94 + ] + }, + { + "text": "(93)", + "bbox_points": [ + 188.84, + 563.93, + 203.16, + 571.94 + ] + }, + { + "text": "44", + "bbox_points": [ + 223.42, + 563.93, + 232.26, + 571.94 + ] + }, + { + "text": "(7)", + "bbox_points": [ + 234.59, + 563.93, + 244.5, + 571.94 + ] + }, + { + "text": "471", + "bbox_points": [ + 269.18, + 563.93, + 282.42, + 571.94 + ] + }, + { + "text": "(76)", + "bbox_points": [ + 284.77, + 563.93, + 299.09, + 571.94 + ] + }, + { + "text": "146", + "bbox_points": [ + 319.35, + 563.93, + 332.6, + 571.94 + ] + }, + { + "text": "(24)", + "bbox_points": [ + 334.94, + 563.93, + 349.26, + 571.94 + ] + }, + { + "text": "577", + "bbox_points": [ + 369.46, + 563.93, + 382.71, + 571.94 + ] + }, + { + "text": "(94)", + "bbox_points": [ + 385.11, + 563.93, + 399.43, + 571.94 + ] + }, + { + "text": "40", + "bbox_points": [ + 424.06, + 563.93, + 432.89, + 571.94 + ] + }, + { + "text": "(6)", + "bbox_points": [ + 435.23, + 563.93, + 445.13, + 571.94 + ] + }, + { + "text": "578", + "bbox_points": [ + 469.81, + 563.93, + 483.06, + 571.94 + ] + }, + { + "text": "(94)", + "bbox_points": [ + 485.4, + 563.93, + 499.72, + 571.94 + ] + }, + { + "text": "39", + "bbox_points": [ + 524.35, + 563.93, + 533.18, + 571.94 + ] + }, + { + "text": "(6)", + "bbox_points": [ + 535.58, + 563.93, + 545.48, + 571.94 + ] + } + ] + }, + { + "text": "S susceptible; R resistant; I intermediate resistant", + "bbox_points": [ + 43.43, + 580.31, + 183.46, + 586.31 + ], + "words": [ + { + "text": "S", + "bbox_points": [ + 43.43, + 580.31, + 46.74, + 586.31 + ] + }, + { + "text": "susceptible;", + "bbox_points": [ + 50.4, + 580.31, + 82.67, + 586.31 + ] + }, + { + "text": "R", + "bbox_points": [ + 84.64, + 580.31, + 88.14, + 586.31 + ] + }, + { + "text": "resistant;", + "bbox_points": [ + 91.78, + 580.31, + 116.67, + 586.31 + ] + }, + { + "text": "I", + "bbox_points": [ + 118.71, + 580.31, + 120.15, + 586.31 + ] + }, + { + "text": "intermediate", + "bbox_points": [ + 123.76, + 580.31, + 158.22, + 586.31 + ] + }, + { + "text": "resistant", + "bbox_points": [ + 160.15, + 580.31, + 183.46, + 586.31 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_03.txt b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..340463ae21c3636bf44928ed4614650f84620d91 --- /dev/null +++ b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_03.txt @@ -0,0 +1 @@ +The antibiotic resistance profile of Enterobacterales isolates from healthy carriers, livestock, poultry, municipal, and hospital diff --git a/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_04.jpg b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0e4b89935954393dc62b0a045914b1b377e60714 --- /dev/null +++ b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:19425977a57a3ca36fd4b0916d5f083f2c336bbb89fa3733ce1f26fb8b9f5f2f +size 54103 diff --git a/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_04.json b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_04.json new file mode 100644 index 0000000000000000000000000000000000000000..c3ecd24be24977962a0d53e52d2cf9fcc7474240 --- /dev/null +++ b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_04.json @@ -0,0 +1,1169 @@ +{ + "kind": "table", + "label": "table_04", + "number": 4, + "caption": "The prevalence of carbapenemase-encoding genes among CRE isolates", + "page": 7, + "table_bbox_points": [ + 61.01, + 85.16, + 569.02, + 273.99 + ], + "caption_bbox_points": [ + 64.01, + 76.93, + 360.28, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 12, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Genes", + "bbox_points": [ + 263.96, + 99.72, + 283.2, + 105.72 + ], + "words": [ + { + "text": "Genes", + "bbox_points": [ + 263.96, + 99.72, + 283.2, + 105.72 + ] + } + ] + }, + { + "text": "Organism blaOXA-48 n (%) blaNDM n (%) blaVIM-1 n (%)", + "bbox_points": [ + 64.01, + 114.71, + 566.01, + 121.35 + ], + "words": [ + { + "text": "Organism", + "bbox_points": [ + 64.01, + 114.75, + 93.68, + 120.75 + ] + }, + { + "text": "blaOXA-48", + "bbox_points": [ + 263.96, + 114.71, + 290.13, + 121.35 + ] + }, + { + "text": "n", + "bbox_points": [ + 292.14, + 114.71, + 296.13, + 120.71 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 298.09, + 114.75, + 307.27, + 120.75 + ] + }, + { + "text": "blaNDM", + "bbox_points": [ + 397.7, + 114.71, + 418.6, + 121.35 + ] + }, + { + "text": "n", + "bbox_points": [ + 420.66, + 114.71, + 424.66, + 120.71 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 426.67, + 114.75, + 435.85, + 120.75 + ] + }, + { + "text": "blaVIM-1", + "bbox_points": [ + 526.22, + 114.71, + 548.76, + 121.35 + ] + }, + { + "text": "n", + "bbox_points": [ + 550.83, + 114.71, + 554.82, + 120.71 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 556.84, + 114.75, + 566.01, + 120.75 + ] + } + ] + }, + { + "text": "Escherichia coli N ¼ 49 49 (100) 6 (12) –", + "bbox_points": [ + 64.01, + 129.61, + 530.22, + 137.9 + ], + "words": [ + { + "text": "Escherichia", + "bbox_points": [ + 64.01, + 129.79, + 105.71, + 137.78 + ] + }, + { + "text": "coli", + "bbox_points": [ + 107.94, + 129.79, + 121.1, + 137.78 + ] + }, + { + "text": "N", + "bbox_points": [ + 123.48, + 129.79, + 129.89, + 137.78 + ] + }, + { + "text": "¼", + "bbox_points": [ + 131.41, + 129.61, + 137.57, + 137.61 + ] + }, + { + "text": "49", + "bbox_points": [ + 139.18, + 129.89, + 148.01, + 137.9 + ] + }, + { + "text": "49", + "bbox_points": [ + 263.96, + 129.89, + 272.79, + 137.9 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 275.13, + 129.89, + 293.87, + 137.9 + ] + }, + { + "text": "6", + "bbox_points": [ + 397.7, + 129.89, + 402.12, + 137.9 + ] + }, + { + "text": "(12)", + "bbox_points": [ + 404.5, + 129.89, + 418.82, + 137.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 526.22, + 129.61, + 530.22, + 137.61 + ] + } + ] + }, + { + "text": "Citrobacter spp. N ¼ 26 26 (100) 3 (11) 1 (4)", + "bbox_points": [ + 64.01, + 143.61, + 542.93, + 151.91 + ], + "words": [ + { + "text": "Citrobacter", + "bbox_points": [ + 64.01, + 143.79, + 102.95, + 151.79 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 105.34, + 143.89, + 119.82, + 151.91 + ] + }, + { + "text": "N", + "bbox_points": [ + 122.23, + 143.79, + 128.65, + 151.79 + ] + }, + { + "text": "¼", + "bbox_points": [ + 130.17, + 143.61, + 136.33, + 151.61 + ] + }, + { + "text": "26", + "bbox_points": [ + 137.93, + 143.89, + 146.77, + 151.91 + ] + }, + { + "text": "26", + "bbox_points": [ + 263.96, + 143.89, + 272.79, + 151.91 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 275.13, + 143.89, + 293.87, + 151.91 + ] + }, + { + "text": "3", + "bbox_points": [ + 397.7, + 143.89, + 402.12, + 151.91 + ] + }, + { + "text": "(11)", + "bbox_points": [ + 404.5, + 143.89, + 418.82, + 151.91 + ] + }, + { + "text": "1", + "bbox_points": [ + 526.22, + 143.89, + 530.64, + 151.91 + ] + }, + { + "text": "(4)", + "bbox_points": [ + 533.03, + 143.89, + 542.93, + 151.91 + ] + } + ] + }, + { + "text": "Klebsiella pneumoniae N ¼ 23 22 (96) 13 (56) –", + "bbox_points": [ + 64.01, + 157.61, + 530.22, + 165.91 + ], + "words": [ + { + "text": "Klebsiella", + "bbox_points": [ + 64.01, + 157.79, + 99.73, + 165.79 + ] + }, + { + "text": "pneumoniae", + "bbox_points": [ + 102.05, + 157.79, + 146.66, + 165.79 + ] + }, + { + "text": "N", + "bbox_points": [ + 149.05, + 157.79, + 155.46, + 165.79 + ] + }, + { + "text": "¼", + "bbox_points": [ + 157.04, + 157.61, + 163.2, + 165.61 + ] + }, + { + "text": "23", + "bbox_points": [ + 164.75, + 157.89, + 173.58, + 165.91 + ] + }, + { + "text": "22", + "bbox_points": [ + 263.96, + 157.89, + 272.79, + 165.91 + ] + }, + { + "text": "(96)", + "bbox_points": [ + 275.13, + 157.89, + 289.45, + 165.91 + ] + }, + { + "text": "13", + "bbox_points": [ + 397.7, + 157.89, + 406.53, + 165.91 + ] + }, + { + "text": "(56)", + "bbox_points": [ + 408.93, + 157.89, + 423.25, + 165.91 + ] + }, + { + "text": "–", + "bbox_points": [ + 526.22, + 157.61, + 530.22, + 165.61 + ] + } + ] + }, + { + "text": "Proteus spp. N ¼ 24 21 (87) 4 (17) 3 (13)", + "bbox_points": [ + 64.01, + 171.62, + 547.35, + 179.91 + ], + "words": [ + { + "text": "Proteus", + "bbox_points": [ + 64.01, + 171.79, + 91.04, + 179.79 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 93.37, + 171.9, + 107.85, + 179.91 + ] + }, + { + "text": "N", + "bbox_points": [ + 110.27, + 171.79, + 116.68, + 179.79 + ] + }, + { + "text": "¼", + "bbox_points": [ + 118.2, + 171.62, + 124.36, + 179.62 + ] + }, + { + "text": "24", + "bbox_points": [ + 125.97, + 171.9, + 134.8, + 179.91 + ] + }, + { + "text": "21", + "bbox_points": [ + 263.96, + 171.9, + 272.79, + 179.91 + ] + }, + { + "text": "(87)", + "bbox_points": [ + 275.13, + 171.9, + 289.45, + 179.91 + ] + }, + { + "text": "4", + "bbox_points": [ + 397.7, + 171.9, + 402.12, + 179.91 + ] + }, + { + "text": "(17)", + "bbox_points": [ + 404.5, + 171.9, + 418.82, + 179.91 + ] + }, + { + "text": "3", + "bbox_points": [ + 526.22, + 171.9, + 530.64, + 179.91 + ] + }, + { + "text": "(13)", + "bbox_points": [ + 533.03, + 171.9, + 547.35, + 179.91 + ] + } + ] + }, + { + "text": "Enterobacter spp. N ¼ 7 7 (100) – –", + "bbox_points": [ + 64.01, + 185.62, + 530.22, + 193.91 + ], + "words": [ + { + "text": "Enterobacter", + "bbox_points": [ + 64.01, + 185.8, + 108.96, + 193.8 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 111.35, + 185.9, + 125.83, + 193.91 + ] + }, + { + "text": "N", + "bbox_points": [ + 128.18, + 185.8, + 134.6, + 193.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 136.18, + 185.62, + 142.34, + 193.62 + ] + }, + { + "text": "7", + "bbox_points": [ + 143.89, + 185.9, + 148.3, + 193.91 + ] + }, + { + "text": "7", + "bbox_points": [ + 263.96, + 185.9, + 268.38, + 193.91 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 270.77, + 185.9, + 289.5, + 193.91 + ] + }, + { + "text": "–", + "bbox_points": [ + 397.7, + 185.62, + 401.7, + 193.62 + ] + }, + { + "text": "–", + "bbox_points": [ + 526.22, + 185.62, + 530.22, + 193.62 + ] + } + ] + }, + { + "text": "Yersinia spp. N ¼ 4 4 (80) 2 (40) –", + "bbox_points": [ + 64.01, + 199.62, + 530.22, + 207.92 + ], + "words": [ + { + "text": "Yersinia", + "bbox_points": [ + 64.01, + 199.8, + 93.45, + 207.8 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 95.81, + 199.9, + 110.29, + 207.92 + ] + }, + { + "text": "N", + "bbox_points": [ + 112.65, + 199.8, + 119.06, + 207.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 120.64, + 199.62, + 126.8, + 207.62 + ] + }, + { + "text": "4", + "bbox_points": [ + 128.35, + 199.9, + 132.77, + 207.92 + ] + }, + { + "text": "4", + "bbox_points": [ + 263.96, + 199.9, + 268.38, + 207.92 + ] + }, + { + "text": "(80)", + "bbox_points": [ + 270.76, + 199.9, + 285.08, + 207.92 + ] + }, + { + "text": "2", + "bbox_points": [ + 397.7, + 199.9, + 402.12, + 207.92 + ] + }, + { + "text": "(40)", + "bbox_points": [ + 404.5, + 199.9, + 418.82, + 207.92 + ] + }, + { + "text": "–", + "bbox_points": [ + 526.22, + 199.62, + 530.22, + 207.62 + ] + } + ] + }, + { + "text": "Hafnia spp. N ¼ 6 6 (100) 2 (33.3) –", + "bbox_points": [ + 64.01, + 213.62, + 530.22, + 221.92 + ], + "words": [ + { + "text": "Hafnia", + "bbox_points": [ + 64.01, + 213.8, + 89.1, + 221.8 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 91.5, + 213.9, + 105.98, + 221.92 + ] + }, + { + "text": "N", + "bbox_points": [ + 108.34, + 213.8, + 114.76, + 221.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 116.33, + 213.62, + 122.49, + 221.62 + ] + }, + { + "text": "6", + "bbox_points": [ + 124.04, + 213.9, + 128.46, + 221.92 + ] + }, + { + "text": "6", + "bbox_points": [ + 263.96, + 213.9, + 268.38, + 221.92 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 270.76, + 213.9, + 289.5, + 221.92 + ] + }, + { + "text": "2", + "bbox_points": [ + 397.7, + 213.9, + 402.12, + 221.92 + ] + }, + { + "text": "(33.3)", + "bbox_points": [ + 404.5, + 213.9, + 425.24, + 221.92 + ] + }, + { + "text": "–", + "bbox_points": [ + 526.22, + 213.62, + 530.22, + 221.62 + ] + } + ] + }, + { + "text": "Providencia spp. N ¼ 3 3 (100) 2 (66.7) –", + "bbox_points": [ + 64.01, + 227.63, + 530.22, + 235.92 + ], + "words": [ + { + "text": "Providencia", + "bbox_points": [ + 64.01, + 227.81, + 106.51, + 235.81 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 108.85, + 227.91, + 123.33, + 235.92 + ] + }, + { + "text": "N", + "bbox_points": [ + 125.69, + 227.81, + 132.1, + 235.81 + ] + }, + { + "text": "¼", + "bbox_points": [ + 133.68, + 227.63, + 139.84, + 235.63 + ] + }, + { + "text": "3", + "bbox_points": [ + 141.39, + 227.91, + 145.81, + 235.92 + ] + }, + { + "text": "3", + "bbox_points": [ + 263.96, + 227.91, + 268.38, + 235.92 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 270.76, + 227.91, + 289.5, + 235.92 + ] + }, + { + "text": "2", + "bbox_points": [ + 397.7, + 227.91, + 402.12, + 235.92 + ] + }, + { + "text": "(66.7)", + "bbox_points": [ + 404.5, + 227.91, + 425.24, + 235.92 + ] + }, + { + "text": "–", + "bbox_points": [ + 526.22, + 227.63, + 530.22, + 235.63 + ] + } + ] + }, + { + "text": "Serratia spp. N ¼ 4 4 (100) 3 (75) –", + "bbox_points": [ + 64.01, + 241.57, + 530.22, + 249.87 + ], + "words": [ + { + "text": "Serratia", + "bbox_points": [ + 64.01, + 241.75, + 91.18, + 249.75 + ] + }, + { + "text": "spp.", + "bbox_points": [ + 93.54, + 241.85, + 108.02, + 249.87 + ] + }, + { + "text": "N", + "bbox_points": [ + 110.44, + 241.75, + 116.85, + 249.75 + ] + }, + { + "text": "¼", + "bbox_points": [ + 118.37, + 241.57, + 124.53, + 249.57 + ] + }, + { + "text": "4", + "bbox_points": [ + 126.14, + 241.85, + 130.56, + 249.87 + ] + }, + { + "text": "4", + "bbox_points": [ + 263.96, + 241.85, + 268.38, + 249.87 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 270.76, + 241.85, + 289.5, + 249.87 + ] + }, + { + "text": "3", + "bbox_points": [ + 397.7, + 241.85, + 402.12, + 249.87 + ] + }, + { + "text": "(75)", + "bbox_points": [ + 404.5, + 241.85, + 418.82, + 249.87 + ] + }, + { + "text": "–", + "bbox_points": [ + 526.22, + 241.57, + 530.22, + 249.57 + ] + } + ] + }, + { + "text": "Total N ¼ 146 142 (97) 35 (24) 4 (3)", + "bbox_points": [ + 64.01, + 255.58, + 542.93, + 263.87 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 255.86, + 82.47, + 263.87 + ] + }, + { + "text": "N", + "bbox_points": [ + 84.87, + 255.76, + 91.29, + 263.76 + ] + }, + { + "text": "¼", + "bbox_points": [ + 92.81, + 255.58, + 98.97, + 263.58 + ] + }, + { + "text": "146", + "bbox_points": [ + 100.52, + 255.86, + 113.76, + 263.87 + ] + }, + { + "text": "142", + "bbox_points": [ + 263.96, + 255.86, + 277.21, + 263.87 + ] + }, + { + "text": "(97)", + "bbox_points": [ + 279.55, + 255.86, + 293.87, + 263.87 + ] + }, + { + "text": "35", + "bbox_points": [ + 397.7, + 255.86, + 406.53, + 263.87 + ] + }, + { + "text": "(24)", + "bbox_points": [ + 408.92, + 255.86, + 423.24, + 263.87 + ] + }, + { + "text": "4", + "bbox_points": [ + 526.22, + 255.86, + 530.64, + 263.87 + ] + }, + { + "text": "(3)", + "bbox_points": [ + 533.02, + 255.86, + 542.93, + 263.87 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_04.txt b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..50c791caeb9d79081081215aebe4f513d4fa9321 --- /dev/null +++ b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_04.txt @@ -0,0 +1 @@ +The prevalence of carbapenemase-encoding genes among CRE isolates diff --git a/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_05.jpg b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..92b92a3aa55cb104215044a64a93a4521928ecdf --- /dev/null +++ b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b6b448d4d64a11bf46d1f758072aac725aadb9602430cde0ab95f115d1cb60e3 +size 42131 diff --git a/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_05.json b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_05.json new file mode 100644 index 0000000000000000000000000000000000000000..7a2521fdc72a68e2d456d5dd098c874df0e7137e --- /dev/null +++ b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_05.json @@ -0,0 +1,900 @@ +{ + "kind": "table", + "label": "table_05", + "number": 5, + "caption": "The frequency and distribution of carbapenem-resistant E. coli phylogroups", + "page": 7, + "table_bbox_points": [ + 61.01, + 308.13, + 569.02, + 436.02 + ], + "caption_bbox_points": [ + 64.01, + 298.48, + 374.67, + 308.13 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 8, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Phylogroups", + "bbox_points": [ + 306.2, + 322.75, + 344.73, + 328.75 + ], + "words": [ + { + "text": "Phylogroups", + "bbox_points": [ + 306.2, + 322.75, + 344.73, + 328.75 + ] + } + ] + }, + { + "text": "B2 Clade I F E Unknown", + "bbox_points": [ + 306.2, + 337.72, + 566.07, + 343.72 + ], + "words": [ + { + "text": "B2", + "bbox_points": [ + 306.2, + 337.72, + 313.76, + 343.72 + ] + }, + { + "text": "Clade", + "bbox_points": [ + 371.28, + 337.72, + 388.71, + 343.72 + ] + }, + { + "text": "I", + "bbox_points": [ + 390.73, + 337.72, + 392.73, + 343.72 + ] + }, + { + "text": "F", + "bbox_points": [ + 427.92, + 337.72, + 431.54, + 343.72 + ] + }, + { + "text": "E", + "bbox_points": [ + 479.74, + 337.72, + 483.49, + 343.72 + ] + }, + { + "text": "Unknown", + "bbox_points": [ + 536.03, + 337.72, + 566.07, + 343.72 + ] + } + ] + }, + { + "text": "Source n (%) n (%) n (%) n (%) n (%)", + "bbox_points": [ + 64.01, + 346.7, + 551.22, + 352.73 + ], + "words": [ + { + "text": "Source", + "bbox_points": [ + 64.01, + 346.73, + 85.42, + 352.73 + ] + }, + { + "text": "n", + "bbox_points": [ + 306.2, + 346.7, + 310.19, + 352.7 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 312.21, + 346.73, + 321.38, + 352.73 + ] + }, + { + "text": "n", + "bbox_points": [ + 371.28, + 346.7, + 375.28, + 352.7 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 377.29, + 346.73, + 386.47, + 352.73 + ] + }, + { + "text": "n", + "bbox_points": [ + 427.92, + 346.7, + 431.92, + 352.7 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 433.87, + 346.73, + 443.05, + 352.73 + ] + }, + { + "text": "n", + "bbox_points": [ + 479.74, + 346.7, + 483.73, + 352.7 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 485.75, + 346.73, + 494.92, + 352.73 + ] + }, + { + "text": "n", + "bbox_points": [ + 536.03, + 346.7, + 540.03, + 352.7 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 542.04, + 346.73, + 551.22, + 352.73 + ] + } + ] + }, + { + "text": "Healthy children N ¼ 21 15 (71) 3 (14) 1 (5) 1 (5) 1 (5)", + "bbox_points": [ + 64.01, + 361.59, + 552.74, + 369.89 + ], + "words": [ + { + "text": "Healthy", + "bbox_points": [ + 64.01, + 361.87, + 92.81, + 369.89 + ] + }, + { + "text": "children", + "bbox_points": [ + 95.13, + 361.87, + 124.79, + 369.89 + ] + }, + { + "text": "N", + "bbox_points": [ + 127.22, + 361.77, + 133.63, + 369.77 + ] + }, + { + "text": "¼", + "bbox_points": [ + 135.16, + 361.59, + 141.31, + 369.59 + ] + }, + { + "text": "21", + "bbox_points": [ + 142.92, + 361.87, + 151.75, + 369.89 + ] + }, + { + "text": "15", + "bbox_points": [ + 306.2, + 361.87, + 315.03, + 369.89 + ] + }, + { + "text": "(71)", + "bbox_points": [ + 317.42, + 361.87, + 331.74, + 369.89 + ] + }, + { + "text": "3", + "bbox_points": [ + 371.28, + 361.87, + 375.7, + 369.89 + ] + }, + { + "text": "(14)", + "bbox_points": [ + 378.08, + 361.87, + 392.4, + 369.89 + ] + }, + { + "text": "1", + "bbox_points": [ + 427.92, + 361.87, + 432.33, + 369.89 + ] + }, + { + "text": "(5)", + "bbox_points": [ + 434.72, + 361.87, + 444.62, + 369.89 + ] + }, + { + "text": "1", + "bbox_points": [ + 479.73, + 361.87, + 484.15, + 369.89 + ] + }, + { + "text": "(5)", + "bbox_points": [ + 486.54, + 361.87, + 496.44, + 369.89 + ] + }, + { + "text": "1", + "bbox_points": [ + 536.03, + 361.87, + 540.45, + 369.89 + ] + }, + { + "text": "(5)", + "bbox_points": [ + 542.83, + 361.87, + 552.74, + 369.89 + ] + } + ] + }, + { + "text": "Hospital wastewater N ¼ 11 8 (73) 1 (9) 1 (9) – 1 (9)", + "bbox_points": [ + 64.01, + 375.6, + 552.74, + 383.89 + ], + "words": [ + { + "text": "Hospital", + "bbox_points": [ + 64.01, + 375.88, + 94.79, + 383.89 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 97.23, + 375.88, + 136.96, + 383.89 + ] + }, + { + "text": "N", + "bbox_points": [ + 139.35, + 375.78, + 145.77, + 383.78 + ] + }, + { + "text": "¼", + "bbox_points": [ + 147.29, + 375.6, + 153.45, + 383.6 + ] + }, + { + "text": "11", + "bbox_points": [ + 155.05, + 375.88, + 163.89, + 383.89 + ] + }, + { + "text": "8", + "bbox_points": [ + 306.2, + 375.88, + 310.61, + 383.89 + ] + }, + { + "text": "(73)", + "bbox_points": [ + 313.0, + 375.88, + 327.32, + 383.89 + ] + }, + { + "text": "1", + "bbox_points": [ + 371.28, + 375.88, + 375.7, + 383.89 + ] + }, + { + "text": "(9)", + "bbox_points": [ + 378.08, + 375.88, + 387.99, + 383.89 + ] + }, + { + "text": "1", + "bbox_points": [ + 427.92, + 375.88, + 432.33, + 383.89 + ] + }, + { + "text": "(9)", + "bbox_points": [ + 434.72, + 375.88, + 444.62, + 383.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 479.73, + 375.6, + 483.73, + 383.6 + ] + }, + { + "text": "1", + "bbox_points": [ + 536.03, + 375.88, + 540.45, + 383.89 + ] + }, + { + "text": "(9)", + "bbox_points": [ + 542.83, + 375.88, + 552.74, + 383.89 + ] + } + ] + }, + { + "text": "Municipal wastewater N ¼ 7 6 (86) – – 1 (14) –", + "bbox_points": [ + 64.01, + 389.6, + 540.03, + 397.9 + ], + "words": [ + { + "text": "Municipal", + "bbox_points": [ + 64.01, + 389.88, + 100.71, + 397.9 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 103.12, + 389.88, + 142.85, + 397.9 + ] + }, + { + "text": "N", + "bbox_points": [ + 145.25, + 389.78, + 151.66, + 397.78 + ] + }, + { + "text": "¼", + "bbox_points": [ + 153.18, + 389.6, + 159.34, + 397.6 + ] + }, + { + "text": "7", + "bbox_points": [ + 160.95, + 389.88, + 165.37, + 397.9 + ] + }, + { + "text": "6", + "bbox_points": [ + 306.2, + 389.88, + 310.61, + 397.9 + ] + }, + { + "text": "(86)", + "bbox_points": [ + 313.0, + 389.88, + 327.32, + 397.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 371.28, + 389.6, + 375.28, + 397.6 + ] + }, + { + "text": "–", + "bbox_points": [ + 427.92, + 389.6, + 431.92, + 397.6 + ] + }, + { + "text": "1", + "bbox_points": [ + 479.73, + 389.88, + 484.15, + 397.9 + ] + }, + { + "text": "(14)", + "bbox_points": [ + 486.54, + 389.88, + 500.86, + 397.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 536.03, + 389.6, + 540.03, + 397.6 + ] + } + ] + }, + { + "text": "Livestock and poultry slaughterhouses wastewater N ¼ 10 10 (100) – – – –", + "bbox_points": [ + 64.01, + 403.6, + 540.03, + 411.9 + ], + "words": [ + { + "text": "Livestock", + "bbox_points": [ + 64.01, + 403.88, + 98.5, + 411.9 + ] + }, + { + "text": "and", + "bbox_points": [ + 100.86, + 403.88, + 114.34, + 411.9 + ] + }, + { + "text": "poultry", + "bbox_points": [ + 116.73, + 403.88, + 142.52, + 411.9 + ] + }, + { + "text": "slaughterhouses", + "bbox_points": [ + 144.74, + 403.88, + 202.07, + 411.9 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 204.44, + 403.88, + 244.16, + 411.9 + ] + }, + { + "text": "N", + "bbox_points": [ + 246.56, + 403.78, + 252.97, + 411.78 + ] + }, + { + "text": "¼", + "bbox_points": [ + 254.49, + 403.6, + 260.65, + 411.6 + ] + }, + { + "text": "10", + "bbox_points": [ + 262.26, + 403.88, + 271.09, + 411.9 + ] + }, + { + "text": "10", + "bbox_points": [ + 306.2, + 403.88, + 315.03, + 411.9 + ] + }, + { + "text": "(100)", + "bbox_points": [ + 317.42, + 403.88, + 336.16, + 411.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 371.28, + 403.6, + 375.28, + 411.6 + ] + }, + { + "text": "–", + "bbox_points": [ + 427.92, + 403.6, + 431.92, + 411.6 + ] + }, + { + "text": "–", + "bbox_points": [ + 479.73, + 403.6, + 483.73, + 411.6 + ] + }, + { + "text": "–", + "bbox_points": [ + 536.03, + 403.6, + 540.03, + 411.6 + ] + } + ] + }, + { + "text": "Total N ¼ 49 39 (80) 4 (8) 2 (4) 2 (4) 2 (4)", + "bbox_points": [ + 64.01, + 417.61, + 552.74, + 425.9 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 417.89, + 82.47, + 425.9 + ] + }, + { + "text": "N", + "bbox_points": [ + 84.87, + 417.78, + 91.29, + 425.78 + ] + }, + { + "text": "¼", + "bbox_points": [ + 92.81, + 417.61, + 98.97, + 425.61 + ] + }, + { + "text": "49", + "bbox_points": [ + 100.52, + 417.89, + 109.35, + 425.9 + ] + }, + { + "text": "39", + "bbox_points": [ + 306.2, + 417.89, + 315.03, + 425.9 + ] + }, + { + "text": "(80)", + "bbox_points": [ + 317.42, + 417.89, + 331.74, + 425.9 + ] + }, + { + "text": "4", + "bbox_points": [ + 371.28, + 417.89, + 375.7, + 425.9 + ] + }, + { + "text": "(8)", + "bbox_points": [ + 378.08, + 417.89, + 387.99, + 425.9 + ] + }, + { + "text": "2", + "bbox_points": [ + 427.92, + 417.89, + 432.33, + 425.9 + ] + }, + { + "text": "(4)", + "bbox_points": [ + 434.72, + 417.89, + 444.62, + 425.9 + ] + }, + { + "text": "2", + "bbox_points": [ + 479.73, + 417.89, + 484.15, + 425.9 + ] + }, + { + "text": "(4)", + "bbox_points": [ + 486.54, + 417.89, + 496.44, + 425.9 + ] + }, + { + "text": "2", + "bbox_points": [ + 536.03, + 417.89, + 540.45, + 425.9 + ] + }, + { + "text": "(4)", + "bbox_points": [ + 542.83, + 417.89, + 552.74, + 425.9 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_05.txt b/Figures/Khavandi et al. - 2024 - Carbapenem-resistant Enterobacterales in wastewater resources and healthy carriers A survey/table_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..a4c641ca18eb2fffcabf9fb24d8717a3ccb96728 --- 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future projections of the GCM. diff --git a/Figures/Khazaei - 2024 - Performance comparison of four daily weather generators for historical period and downscaling future/figure_05.jpg b/Figures/Khazaei - 2024 - Performance comparison of four daily weather generators for historical period and downscaling future/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4b72959de4aa48780254a01b54b7d305500182a8 --- /dev/null +++ b/Figures/Khazaei - 2024 - Performance comparison of four daily weather generators for historical period and downscaling future/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:677e44f0b7c19095bef9e420351044cd0fe2164a146d803595530aec3187c228 +size 121499 diff --git a/Figures/Khazaei - 2024 - Performance comparison of four daily weather generators for historical period and downscaling future/figure_05.txt b/Figures/Khazaei - 2024 - Performance comparison of four daily weather generators for historical 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@@ +{ + "kind": "table", + "label": "table_04", + "number": 4, + "caption": "Setting parameters for different algorithms", + "page": 13, + "table_bbox_points": [ + 61.01, + 85.16, + 569.02, + 384.99 + ], + "caption_bbox_points": [ + 64.01, + 76.93, + 256.74, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 20, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Parameters Algorithm", + "bbox_points": [ + 64.01, + 99.72, + 560.94, + 105.72 + ], + "words": [ + { + "text": "Parameters", + "bbox_points": [ + 64.01, + 99.72, + 99.54, + 105.72 + ] + }, + { + "text": "Algorithm", + "bbox_points": [ + 529.97, + 99.72, + 560.94, + 105.72 + ] + } + ] + }, + { + "text": "Max It ¼ 100 MOAHA", + "bbox_points": [ + 64.01, + 114.58, + 563.25, + 122.88 + ], + "words": [ + { + "text": "Max", + "bbox_points": [ + 64.01, + 114.86, + 80.07, + 122.88 + ] + }, + { + "text": "It", + "bbox_points": [ + 82.43, + 114.86, + 88.17, + 122.88 + ] + }, + { + "text": "¼", + "bbox_points": [ + 89.74, + 114.58, + 95.9, + 122.58 + ] + }, + { + "text": "100", + "bbox_points": [ + 97.45, + 114.86, + 110.7, + 122.88 + ] + }, + { + "text": "MOAHA", + "bbox_points": [ + 529.96, + 114.86, + 563.25, + 122.88 + ] + } + ] + }, + { + "text": "Archive Size ¼ 100", + "bbox_points": [ + 64.01, + 128.59, + 131.96, + 136.88 + ], + "words": [ + { + "text": "Archive", + "bbox_points": [ + 64.01, + 128.87, + 91.99, + 136.88 + ] + }, + { + "text": "Size", + "bbox_points": [ + 94.39, + 128.87, + 109.47, + 136.88 + ] + }, + { + "text": "¼", + "bbox_points": [ + 111.0, + 128.59, + 117.16, + 136.59 + ] + }, + { + "text": "100", + "bbox_points": [ + 118.71, + 128.87, + 131.96, + 136.88 + ] + } + ] + }, + { + "text": "N Pop ¼ 100", + "bbox_points": [ + 64.01, + 142.59, + 109.63, + 150.88 + ], + "words": [ + { + "text": "N", + "bbox_points": [ + 64.01, + 142.87, + 70.75, + 150.88 + ] + }, + { + "text": "Pop", + "bbox_points": [ + 73.13, + 142.87, + 87.11, + 150.88 + ] + }, + { + "text": "¼", + "bbox_points": [ + 88.67, + 142.59, + 94.83, + 150.59 + ] + }, + { + "text": "100", + "bbox_points": [ + 96.38, + 142.87, + 109.63, + 150.88 + ] + } + ] + }, + { + "text": "Max It ¼ 100 MOGWO", + "bbox_points": [ + 64.01, + 156.59, + 566.02, + 164.89 + ], + "words": [ + { + "text": "Max", + "bbox_points": [ + 64.01, + 156.87, + 80.07, + 164.89 + ] + }, + { + "text": "It", + "bbox_points": [ + 82.43, + 156.87, + 88.17, + 164.89 + ] + }, + { + "text": "¼", + "bbox_points": [ + 89.74, + 156.59, + 95.9, + 164.59 + ] + }, + { + "text": "100", + "bbox_points": [ + 97.45, + 156.87, + 110.7, + 164.89 + ] + }, + { + "text": "MOGWO", + "bbox_points": [ + 529.96, + 156.87, + 566.02, + 164.89 + ] + } + ] + }, + { + "text": "Archive Size ¼ 100", + "bbox_points": [ + 64.01, + 170.6, + 131.96, + 178.89 + ], + "words": [ + { + "text": "Archive", + "bbox_points": [ + 64.01, + 170.88, + 91.99, + 178.89 + ] + }, + { + "text": "Size", + "bbox_points": [ + 94.39, + 170.88, + 109.47, + 178.89 + ] + }, + { + "text": "¼", + "bbox_points": [ + 111.0, + 170.6, + 117.16, + 178.59 + ] + }, + { + "text": "100", + "bbox_points": [ + 118.71, + 170.88, + 131.96, + 178.89 + ] + } + ] + }, + { + "text": "N Pop ¼ 100", + "bbox_points": [ + 64.01, + 184.6, + 109.63, + 192.89 + ], + "words": [ + { + "text": "N", + "bbox_points": [ + 64.01, + 184.88, + 70.75, + 192.89 + ] + }, + { + "text": "Pop", + "bbox_points": [ + 73.13, + 184.88, + 87.11, + 192.89 + ] + }, + { + "text": "¼", + "bbox_points": [ + 88.67, + 184.6, + 94.83, + 192.6 + ] + }, + { + "text": "100", + "bbox_points": [ + 96.38, + 184.88, + 109.63, + 192.89 + ] + } + ] + }, + { + "text": "alpha ¼ 0.1", + "bbox_points": [ + 64.01, + 198.6, + 104.09, + 206.9 + ], + "words": [ + { + "text": "alpha", + "bbox_points": [ + 64.01, + 198.88, + 83.97, + 206.9 + ] + }, + { + "text": "¼", + "bbox_points": [ + 85.49, + 198.6, + 91.65, + 206.6 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 93.26, + 198.88, + 104.09, + 206.9 + ] + } + ] + }, + { + "text": "N Grid ¼ 10", + "bbox_points": [ + 64.01, + 212.6, + 108.04, + 220.9 + ], + "words": [ + { + "text": "N", + "bbox_points": [ + 64.01, + 212.88, + 70.75, + 220.9 + ] + }, + { + "text": "Grid", + "bbox_points": [ + 73.13, + 212.88, + 89.94, + 220.9 + ] + }, + { + "text": "¼", + "bbox_points": [ + 91.5, + 212.6, + 97.66, + 220.6 + ] + }, + { + "text": "10", + "bbox_points": [ + 99.21, + 212.88, + 108.04, + 220.9 + ] + } + ] + }, + { + "text": "beta ¼ 4", + "bbox_points": [ + 64.01, + 226.61, + 92.86, + 234.9 + ], + "words": [ + { + "text": "beta", + "bbox_points": [ + 64.01, + 226.89, + 79.16, + 234.9 + ] + }, + { + "text": "¼", + "bbox_points": [ + 80.67, + 226.61, + 86.83, + 234.61 + ] + }, + { + "text": "4", + "bbox_points": [ + 88.44, + 226.89, + 92.86, + 234.9 + ] + } + ] + }, + { + "text": "gamma ¼ 2", + "bbox_points": [ + 64.01, + 240.61, + 103.97, + 248.91 + ], + "words": [ + { + "text": "gamma", + "bbox_points": [ + 64.01, + 240.89, + 90.33, + 248.91 + ] + }, + { + "text": "¼", + "bbox_points": [ + 91.84, + 240.61, + 98.0, + 248.61 + ] + }, + { + "text": "2", + "bbox_points": [ + 99.55, + 240.89, + 103.97, + 248.91 + ] + } + ] + }, + { + "text": "Max It ¼ 100 MOALO", + "bbox_points": [ + 64.01, + 254.61, + 561.94, + 262.91 + ], + "words": [ + { + "text": "Max", + "bbox_points": [ + 64.01, + 254.89, + 80.07, + 262.91 + ] + }, + { + "text": "It", + "bbox_points": [ + 82.43, + 254.89, + 88.17, + 262.91 + ] + }, + { + "text": "¼", + "bbox_points": [ + 89.75, + 254.61, + 95.91, + 262.61 + ] + }, + { + "text": "100", + "bbox_points": [ + 97.46, + 254.89, + 110.7, + 262.91 + ] + }, + { + "text": "MOALO", + "bbox_points": [ + 529.96, + 254.89, + 561.94, + 262.91 + ] + } + ] + }, + { + "text": "N Pop ¼ 100", + "bbox_points": [ + 64.01, + 268.62, + 109.63, + 276.91 + ], + "words": [ + { + "text": "N", + "bbox_points": [ + 64.01, + 268.9, + 70.75, + 276.91 + ] + }, + { + "text": "Pop", + "bbox_points": [ + 73.14, + 268.9, + 87.11, + 276.91 + ] + }, + { + "text": "¼", + "bbox_points": [ + 88.67, + 268.62, + 94.83, + 276.62 + ] + }, + { + "text": "100", + "bbox_points": [ + 96.38, + 268.9, + 109.63, + 276.91 + ] + } + ] + }, + { + "text": "Archive Max Size ¼ 100", + "bbox_points": [ + 64.01, + 282.62, + 150.39, + 290.92 + ], + "words": [ + { + "text": "Archive", + "bbox_points": [ + 64.01, + 282.9, + 91.99, + 290.92 + ] + }, + { + "text": "Max", + "bbox_points": [ + 94.39, + 282.9, + 110.46, + 290.92 + ] + }, + { + "text": "Size", + "bbox_points": [ + 112.82, + 282.9, + 127.89, + 290.92 + ] + }, + { + "text": "¼", + "bbox_points": [ + 129.43, + 282.62, + 135.59, + 290.62 + ] + }, + { + "text": "100", + "bbox_points": [ + 137.14, + 282.9, + 150.39, + 290.92 + ] + } + ] + }, + { + "text": "Max It ¼ 100 NSGA-II", + "bbox_points": [ + 64.01, + 296.62, + 562.49, + 304.92 + ], + "words": [ + { + "text": "Max", + "bbox_points": [ + 64.01, + 296.9, + 80.07, + 304.92 + ] + }, + { + "text": "It", + "bbox_points": [ + 82.43, + 296.9, + 88.17, + 304.92 + ] + }, + { + "text": "¼", + "bbox_points": [ + 89.75, + 296.62, + 95.91, + 304.62 + ] + }, + { + "text": "100", + "bbox_points": [ + 97.46, + 296.9, + 110.7, + 304.92 + ] + }, + { + "text": "NSGA-II", + "bbox_points": [ + 529.96, + 296.9, + 562.49, + 304.92 + ] + } + ] + }, + { + "text": "N Pop ¼ 100", + "bbox_points": [ + 64.01, + 310.63, + 109.63, + 318.92 + ], + "words": [ + { + "text": "N", + "bbox_points": [ + 64.01, + 310.91, + 70.75, + 318.92 + ] + }, + { + "text": "Pop", + "bbox_points": [ + 73.14, + 310.91, + 87.11, + 318.92 + ] + }, + { + "text": "¼", + "bbox_points": [ + 88.67, + 310.63, + 94.83, + 318.63 + ] + }, + { + "text": "100", + "bbox_points": [ + 96.38, + 310.91, + 109.63, + 318.92 + ] + } + ] + }, + { + "text": "Archive Max Size ¼ 100", + "bbox_points": [ + 64.01, + 324.57, + 150.39, + 332.87 + ], + "words": [ + { + "text": "Archive", + "bbox_points": [ + 64.01, + 324.85, + 91.99, + 332.87 + ] + }, + { + "text": "Max", + "bbox_points": [ + 94.39, + 324.85, + 110.46, + 332.87 + ] + }, + { + "text": "Size", + "bbox_points": [ + 112.82, + 324.85, + 127.89, + 332.87 + ] + }, + { + "text": "¼", + "bbox_points": [ + 129.43, + 324.57, + 135.59, + 332.57 + ] + }, + { + "text": "100", + "bbox_points": [ + 137.14, + 324.85, + 150.39, + 332.87 + ] + } + ] + }, + { + "text": "Mutation Rate ¼ 0.02", + "bbox_points": [ + 64.01, + 338.57, + 140.14, + 346.87 + ], + "words": [ + { + "text": "Mutation", + "bbox_points": [ + 64.01, + 338.85, + 97.11, + 346.87 + ] + }, + { + "text": "Rate", + "bbox_points": [ + 99.44, + 338.85, + 115.6, + 346.87 + ] + }, + { + "text": "¼", + "bbox_points": [ + 117.18, + 338.57, + 123.34, + 346.57 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 124.9, + 338.85, + 140.14, + 346.87 + ] + } + ] + }, + { + "text": "Mutation Percentage ¼ 0.4", + "bbox_points": [ + 64.01, + 352.58, + 158.8, + 360.87 + ], + "words": [ + { + "text": "Mutation", + "bbox_points": [ + 64.01, + 352.86, + 97.11, + 360.87 + ] + }, + { + "text": "Percentage", + "bbox_points": [ + 99.44, + 352.86, + 138.71, + 360.87 + ] + }, + { + "text": "¼", + "bbox_points": [ + 140.26, + 352.58, + 146.42, + 360.58 + ] + }, + { + "text": "0.4", + "bbox_points": [ + 147.97, + 352.86, + 158.8, + 360.87 + ] + } + ] + }, + { + "text": "Crossover Percentage ¼ 0.7", + "bbox_points": [ + 64.01, + 366.58, + 161.24, + 374.88 + ], + "words": [ + { + "text": "Crossover", + "bbox_points": [ + 64.01, + 366.86, + 99.51, + 374.88 + ] + }, + { + "text": "Percentage", + "bbox_points": [ + 101.88, + 366.86, + 141.15, + 374.88 + ] + }, + { + "text": "¼", + "bbox_points": [ + 142.64, + 366.58, + 148.8, + 374.58 + ] + }, + { + "text": "0.7", + "bbox_points": [ + 150.41, + 366.86, + 161.24, + 374.88 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Khoramipoor and Farzin - 2024 - A combination approach for optimization operation_/table_04.txt b/Figures/Khoramipoor and Farzin - 2024 - A combination approach for optimization operation_/table_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..56e030fe7f6e59f8ef49e4be57f4e927231fa2c8 --- /dev/null +++ b/Figures/Khoramipoor and Farzin - 2024 - A combination approach for optimization operation_/table_04.txt @@ -0,0 +1 @@ +Setting parameters for different algorithms diff --git a/Figures/Khoramipoor and Farzin - 2024 - A combination approach for optimization operation_/table_05.jpg b/Figures/Khoramipoor and Farzin - 2024 - A combination approach for optimization operation_/table_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..26e74b3cd2968fe34afc0e7714d0cd0a07e978ca --- /dev/null +++ b/Figures/Khoramipoor and Farzin - 2024 - A combination approach for optimization operation_/table_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a7c74946270c7f39fe3470a11e1a4e303f6a33ea56d338851b38cae13bba506a +size 75152 diff --git a/Figures/Khoramipoor and Farzin - 2024 - A combination approach for optimization operation_/table_05.json b/Figures/Khoramipoor and Farzin - 2024 - A combination approach for optimization operation_/table_05.json new file mode 100644 index 0000000000000000000000000000000000000000..8958cd565004da71a4c7022c1e579ef9b76375bd --- /dev/null +++ b/Figures/Khoramipoor and Farzin - 2024 - A combination approach for optimization operation_/table_05.json @@ -0,0 +1,820 @@ +{ + "kind": "table", + "label": "table_05", + "number": 5, + "caption": "MAX, AVG and MIN power produced by four optimization solutions for Karun’s multi-reservoir system", + "page": 14, + "table_bbox_points": [ + 40.43, + 85.16, + 548.44, + 259.02 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 449.67, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 13, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Solution Karun 3 Karun 1 Masjed Soleyman Gotvand", + "bbox_points": [ + 43.43, + 99.72, + 532.3, + 105.72 + ], + "words": [ + { + "text": "Solution", + "bbox_points": [ + 43.43, + 99.72, + 69.27, + 105.72 + ] + }, + { + "text": "Karun", + "bbox_points": [ + 206.53, + 99.72, + 224.95, + 105.72 + ] + }, + { + "text": "3", + "bbox_points": [ + 226.94, + 99.72, + 230.44, + 105.72 + ] + }, + { + "text": "Karun", + "bbox_points": [ + 301.21, + 99.72, + 319.63, + 105.72 + ] + }, + { + "text": "1", + "bbox_points": [ + 321.62, + 99.72, + 325.12, + 105.72 + ] + }, + { + "text": "Masjed", + "bbox_points": [ + 395.94, + 99.72, + 418.5, + 105.72 + ] + }, + { + "text": "Soleyman", + "bbox_points": [ + 420.43, + 99.72, + 450.79, + 105.72 + ] + }, + { + "text": "Gotvand", + "bbox_points": [ + 506.26, + 99.72, + 532.3, + 105.72 + ] + } + ] + }, + { + "text": "MOAHA Max 43,238.299 44,405.295 24,782.351 30,787.524", + "bbox_points": [ + 43.43, + 114.86, + 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133.42 + ] + }, + { + "text": "2,752.180", + "bbox_points": [ + 395.94, + 125.41, + 430.74, + 133.42 + ] + }, + { + "text": "3,262.079", + "bbox_points": [ + 506.27, + 125.41, + 541.06, + 133.42 + ] + } + ] + }, + { + "text": "Avg 8,487.695 10,496.963 4,855.936 7,242.739", + "bbox_points": [ + 134.99, + 135.9, + 541.06, + 143.91 + ], + "words": [ + { + "text": "Avg", + "bbox_points": [ + 134.99, + 135.9, + 148.82, + 143.91 + ] + }, + { + "text": "8,487.695", + "bbox_points": [ + 206.53, + 135.9, + 241.33, + 143.91 + ] + }, + { + "text": "10,496.963", + "bbox_points": [ + 301.21, + 135.9, + 340.54, + 143.91 + ] + }, + { + "text": "4,855.936", + "bbox_points": [ + 395.94, + 135.9, + 430.74, + 143.91 + ] + }, + { + "text": "7,242.739", + "bbox_points": [ + 506.27, + 135.9, + 541.06, + 143.91 + ] + } + ] + }, + { + "text": "MOALO Max 28,726.711 30,807.450 12,848.063 16,832.296", + "bbox_points": [ + 43.43, + 149.9, + 545.48, + 157.91 + ], + "words": [ + { + "text": "MOALO", + 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129.89, + 534.72, + 137.9 + ], + "words": [ + { + "text": "Age", + "bbox_points": [ + 43.43, + 129.89, + 57.43, + 137.9 + ] + }, + { + "text": "37.01", + "bbox_points": [ + 215.04, + 129.89, + 234.7, + 137.9 + ] + }, + { + "text": "13.4", + "bbox_points": [ + 257.27, + 129.89, + 272.52, + 137.9 + ] + }, + { + "text": "38.1", + "bbox_points": [ + 299.51, + 129.89, + 314.76, + 137.9 + ] + }, + { + "text": "13.9", + "bbox_points": [ + 341.74, + 129.89, + 356.99, + 137.9 + ] + }, + { + "text": "36.4", + "bbox_points": [ + 383.98, + 129.89, + 399.23, + 137.9 + ] + }, + { + "text": "14.07", + "bbox_points": [ + 426.16, + 129.89, + 445.82, + 137.9 + ] + }, + { + "text": "37.97", + "bbox_points": [ + 468.4, + 129.89, + 488.06, + 137.9 + ] + }, + { + "text": "13.57", + "bbox_points": [ + 515.05, + 129.89, + 534.72, + 137.9 + ] + } + ] + }, + { + "text": "Monthly expenditure (Tk) 9,377.45 3,607.22 9,611.34 4,156.34 9,706.86 5,698.57 12,589.11 5,901.86", + "bbox_points": [ + 43.43, + 143.89, + 545.44, + 151.91 + ], + "words": [ + { + "text": "Monthly", + "bbox_points": [ + 43.43, + 143.89, + 74.14, + 151.91 + ] + }, + { + "text": "expenditure", + "bbox_points": [ + 76.31, + 143.89, + 118.63, + 151.91 + ] + }, + { + "text": "(Tk)", + "bbox_points": [ + 121.04, + 143.89, + 136.1, + 151.91 + ] + }, + { + "text": "9,377.45", + "bbox_points": [ + 215.04, + 143.89, + 245.53, + 151.91 + ] + }, + { + "text": "3,607.22", + "bbox_points": [ + 257.27, + 143.89, + 287.77, + 151.91 + ] + }, + { + "text": "9,611.34", + "bbox_points": [ + 299.51, + 143.89, + 329.89, + 151.91 + ] + }, + { + "text": "4,156.34", + "bbox_points": [ + 341.74, + 143.89, + 372.13, + 151.91 + ] + }, + { + "text": "9,706.86", + "bbox_points": [ + 383.98, + 143.89, + 414.36, + 151.91 + ] + }, + { + "text": "5,698.57", + "bbox_points": [ + 426.16, + 143.89, + 456.66, + 151.91 + ] + }, + { + "text": "12,589.11", + "bbox_points": [ + 468.4, + 143.89, + 503.31, + 151.91 + ] + }, + { + "text": "5,901.86", + "bbox_points": [ + 515.06, + 143.89, + 545.44, + 151.91 + ] + } + ] + }, + { + "text": "Number of users who own a refrigerator (%) 38 (29.6) 41 (32.8) 13 (10.16) 35 (27.3)", + "bbox_points": [ + 43.43, + 157.89, + 535.79, + 165.91 + ], + "words": [ + { + "text": "Number", + "bbox_points": [ + 43.43, + 157.89, + 73.32, + 165.91 + ] + }, + { + "text": "of", + "bbox_points": [ + 75.52, + 157.89, + 82.59, + 165.91 + ] + }, + { + "text": "users", + "bbox_points": [ + 84.98, + 157.89, + 103.37, + 165.91 + ] + }, + { + "text": "who", + "bbox_points": [ + 105.73, + 157.89, + 121.38, + 165.91 + ] + }, + { + "text": "own", + "bbox_points": [ + 123.76, + 157.89, + 139.2, + 165.91 + ] + }, + { + "text": "a", + "bbox_points": [ + 141.62, + 157.89, + 145.78, + 165.91 + ] + }, + { + "text": "refrigerator", + "bbox_points": [ + 148.14, + 157.89, + 188.38, + 165.91 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 190.77, + 157.89, + 203.26, + 165.91 + ] + }, + { + "text": "38", + "bbox_points": [ + 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Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_01.txt @@ -0,0 +1 @@ +Details of the respondents from the target communities diff --git a/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_02.jpg b/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3c5c3d44c9e373b7e0611743d632efb9378540dc --- /dev/null +++ b/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5c90c5358e6c427c46f7a3709f4820f78b6f50754aa8428153e2218284a0f128 +size 28506 diff --git a/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_02.json b/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_02.json new file mode 100644 index 0000000000000000000000000000000000000000..22018313d4eb589475f60ffc5b8ee964a96862ab --- /dev/null +++ b/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_02.json @@ -0,0 +1,444 @@ +{ + "kind": "table", + "label": "table_02", + "number": 2, + "caption": "Distribution of category I based on users’ perceptions of their own behavior and others’ behavior", + "page": 7, + "table_bbox_points": [ + 40.43, + 509.79, + 548.44, + 599.63 + ], + "caption_bbox_points": [ + 43.43, + 501.56, + 434.34, + 509.79 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + 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+ 539.49, + 201.1, + 547.51 + ] + }, + { + "text": "72", + "bbox_points": [ + 276.94, + 539.49, + 285.78, + 547.51 + ] + }, + { + "text": "(73.5%)", + "bbox_points": [ + 288.17, + 539.49, + 315.91, + 547.51 + ] + }, + { + "text": "89", + "bbox_points": [ + 391.8, + 539.49, + 400.64, + 547.51 + ] + }, + { + "text": "(87.3%)", + "bbox_points": [ + 402.97, + 539.49, + 430.71, + 547.51 + ] + }, + { + "text": "87", + "bbox_points": [ + 506.61, + 539.49, + 515.44, + 547.51 + ] + }, + { + "text": "(86.1%)", + "bbox_points": [ + 517.78, + 539.49, + 545.51, + 547.51 + ] + } + ] + }, + { + "text": "SelfC-OthD 38 (37.2%) 15 (15.3%) 7 (6.8%) 7 (6.9%)", + "bbox_points": [ + 43.43, + 553.5, + 536.62, + 561.51 + ], + "words": [ + { + "text": "SelfC-OthD", + "bbox_points": [ + 43.43, + 553.5, + 85.46, + 561.51 + ] + }, + { + "text": "38", + "bbox_points": [ + 162.14, + 553.5, + 170.97, + 561.51 + ] + }, + { + "text": "(37.2%)", + "bbox_points": [ + 173.37, + 553.5, + 201.1, + 561.51 + ] + }, + { + "text": "15", + "bbox_points": [ + 276.94, + 553.5, + 285.78, + 561.51 + ] + }, + { + "text": "(15.3%)", + "bbox_points": [ + 288.17, + 553.5, + 315.91, + 561.51 + ] + }, + { + "text": "7", + "bbox_points": [ + 391.8, + 553.5, + 396.22, + 561.51 + ] + }, + { + "text": "(6.8%)", + "bbox_points": [ + 398.61, + 553.5, + 421.82, + 561.51 + ] + }, + { + "text": "7", + "bbox_points": [ + 506.61, + 553.5, + 511.02, + 561.51 + ] + }, + { + "text": "(6.9%)", + "bbox_points": [ + 513.41, + 553.5, + 536.62, + 561.51 + ] + } + ] + }, + { + "text": "SelfD-OthC 6 (5.9%) 6 (6.1%) 5 (4.9%) 5 (5.0%)", + "bbox_points": [ + 43.43, + 567.5, + 536.62, + 575.51 + ], + "words": [ + { + "text": "SelfD-OthC", + "bbox_points": [ + 43.43, + 567.5, + 85.46, + 575.51 + ] + }, + { + "text": "6", + "bbox_points": [ + 162.14, + 567.5, + 166.56, + 575.51 + ] + }, + { + "text": "(5.9%)", + "bbox_points": [ + 168.94, + 567.5, + 192.26, + 575.51 + ] + }, + { + "text": "6", + "bbox_points": [ + 276.94, + 567.5, + 281.36, + 575.51 + ] + }, + { + "text": "(6.1%)", + "bbox_points": [ + 283.75, + 567.5, + 307.07, + 575.51 + ] + }, + { + "text": "5", + "bbox_points": [ + 391.8, + 567.5, + 396.22, + 575.51 + ] + }, + { + "text": "(4.9%)", + "bbox_points": [ + 398.61, + 567.5, + 421.82, + 575.51 + ] + }, + { + "text": "5", + "bbox_points": [ + 506.61, + 567.5, + 511.02, + 575.51 + ] + }, + { + "text": "(5.0%)", + "bbox_points": [ + 513.41, + 567.5, + 536.62, + 575.51 + ] + } + ] + }, + { + "text": "SelfD-OthD 7 (6.9%) 5 (5.1%) 1 (1.0%) 2 (2.0%)", + "bbox_points": [ + 43.43, + 581.5, + 536.62, + 589.52 + ], + "words": [ + { + "text": "SelfD-OthD", + "bbox_points": [ + 43.43, + 581.5, + 86.29, + 589.52 + ] + }, + { + "text": "7", + "bbox_points": [ + 162.14, + 581.5, + 166.56, + 589.52 + ] + }, + { + "text": "(6.9%)", + "bbox_points": [ + 168.94, + 581.5, + 192.26, + 589.52 + ] + }, + { + "text": "5", + "bbox_points": [ + 276.94, + 581.5, + 281.36, + 589.52 + ] + }, + { + "text": "(5.1%)", + "bbox_points": [ + 283.75, + 581.5, + 307.07, + 589.52 + ] + }, + { + "text": "1", + "bbox_points": [ + 391.8, + 581.5, + 396.22, + 589.52 + ] + }, + { + "text": "(1.0%)", + "bbox_points": [ + 398.61, + 581.5, + 421.82, + 589.52 + ] + }, + { + "text": "2", + "bbox_points": [ + 506.61, + 581.5, + 511.02, + 589.52 + ] + }, + { + "text": "(2.0%)", + "bbox_points": [ + 513.41, + 581.5, + 536.62, + 589.52 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_02.txt b/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..a46dd8fb505055e81dd92dac2fa906e6b438d504 --- /dev/null +++ b/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_02.txt @@ -0,0 +1 @@ +Distribution of category I based on users’ perceptions of their own behavior and others’ behavior diff --git a/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_03.jpg b/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..050cd6d3c26d38b11db537f0c4521995fbdaf52a --- /dev/null +++ b/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cc1040c65b776b5de5f3df2cade28e54faf47f5700a1092c37d2c3f89fc5b054 +size 29545 diff --git a/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_03.json b/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_03.json new file mode 100644 index 0000000000000000000000000000000000000000..3315716cbff175841367650f742cf8a5198b56fa --- /dev/null +++ b/Figures/Kikuchi and Azad-uz-zaman - 2025 - Do users_ perceptions of neighbors_ cleaning behavior of shared sanitation facilities act as a credi/table_03.json @@ -0,0 +1,444 @@ +{ + "kind": "table", + "label": "table_03", + "number": 3, + "caption": "Distribution of category II based on the respondents’ experience of other users, suggesting that they clean SSFs or not", + "page": 7, + "table_bbox_points": [ + 40.43, + 635.93, + 548.44, + 725.83 + ], + "caption_bbox_points": [ + 43.43, + 627.76, + 513.29, + 635.93 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 5, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "comA comB comC comD", + "bbox_points": [ + 164.24, + 650.55, + 524.28, + 656.55 + ], + "words": [ + { + "text": "comA", + "bbox_points": [ + 164.24, + 650.55, + 181.92, + 656.55 + ] + }, + { + "text": "comB", + "bbox_points": [ + 278.36, + 650.55, + 295.6, + 656.55 + ] + }, + { + "text": "comC", + "bbox_points": [ + 392.48, + 650.55, + 409.84, + 656.55 + ] + }, + { + "text": "comD", + "bbox_points": [ + 506.61, + 650.55, + 524.28, + 656.55 + ] + } + ] + }, + { + "text": "SelfC-othS 16 (15.7%) 11 (11.2%) 68 (66.7%) 58 (57.4%)", + "bbox_points": [ + 43.43, + 665.69, + 545.51, + 673.71 + ], + "words": [ + { + "text": "SelfC-othS", + "bbox_points": [ + 43.43, + 665.69, + 81.46, + 673.71 + ] + }, + { + "text": "16", + "bbox_points": [ + 164.24, + 665.69, + 173.07, + 673.71 + ] + }, + { + "text": "(15.7%)", + "bbox_points": [ + 175.41, 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"crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 33337, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_06", + "page": 11, + "caption": "Amplitude of dimensionless hydraulic impedances for four different Reynolds numbers (Re) under laminar flow (a) and for different Re under turbulent flow conditions (b) and enlargement of (b) for a designated dimensionless frequency range between 37 and 47 Rad=^s (c).", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 147.01, + 77.28, + 483.01, + 682.8 + ], + "caption_bbox_points": [ + 64.01, + 684.28, + 566.04, + 702.49 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 153854, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_07", + "page": 12, + "caption": "Amplitude of dimensionless hydraulic impedances for four different combinations of ^R ¼ 0.066 and 0.0066 as BR and SR, respectively; ^Z ¼ 4.3 \u0004 10\u00029 and 1.45 \u0004 10\u00029 i/^v as BZ and SZ, respectively, under laminar flow (a), and those for four different combinations of ^R ¼ 0.464 and 0.046 as BR and SR, respectively; ^Z ¼ 5.18 \u0004 10\u00028 and 1.744 \u0004 10\u00028 i/^v as BZ and SZ, respectively, under turbulent flow (b).", + "image": "figure_07.jpg", + "caption_file": "figure_07.txt", + "figure_bbox_points": [ + 108.35, + 77.28, + 480.66, + 532.17 + ], + "caption_bbox_points": [ + 43.43, + 531.62, + 545.51, + 561.89 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 125761, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of 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(a) SP external, (b) SP internal, (c) DIP external, and (d) DIP internal. diff --git a/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_04.jpg b/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..795e8f4a2e2de18f895e8595d86d91452bbb45cc --- /dev/null +++ b/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b49e31e1316bc42e56e84b8af5f376ca908d10b1564af5218ea9d4006e1c6b32 +size 122664 diff --git a/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_04.txt b/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..1109c5748c8e4b0b61ba5a604b4797ed1d090874 --- /dev/null +++ b/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_04.txt @@ -0,0 +1 @@ +Predicted corrosion depth according to the environment. Left-top: SP external, Right-top: SP internal, Left-bottom: DIP external, Right-bottom: DIP internal. diff --git a/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_05.jpg b/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..97161ea60334a08779cffba6b166b5f3117d5ff8 --- /dev/null +++ b/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d8105ad33b6ad51ad399f62b032968d9f410f5fabc3ebec37f5672e15a09efde +size 70305 diff --git a/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_05.txt b/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d8c27d0efb3e7cce2381ab2bd786c10aa41381a --- /dev/null +++ b/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_05.txt @@ -0,0 +1 @@ +Predicted failure rate according to the environment. Left: SP, Right: DIP. diff --git a/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_06.jpg b/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e4618c654087147aac21aae7010c644aa2700e45 --- /dev/null +++ b/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ef967940318c34aba4ee8293c1a51676e5f90b0f221d1b7e6b071368bd8e9998 +size 47098 diff --git a/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water conveyance networks using dynam/figure_06.txt b/Figures/Kim et al. - 2024 - Optimization of long-term renewal investment plan for drinking water 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The bottle on the left is the ammonia-oxidizing anode chamber, whereas the bottle on the right serves as the 20 mM potassium ferricyanide-reducing cathode chamber. Both chambers are electrically connected via electrodes, thereby facilitating the use of ammonia as an electron donor under anaerobic conditions. diff --git a/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_02.jpg b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..34c153ca1ed35a833afaa962e35fbf38dfdde967 --- /dev/null +++ b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1e8fd035c9831929dc89de45d535d2e5ecf7010ef5285ef4377cb85e65423d7 +size 103288 diff --git a/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_02.txt b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..928bb410a7637b41dc0c7e04a0cf22853d634678 --- /dev/null +++ b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_02.txt @@ -0,0 +1 @@ +Temporal profiles of nitrogen species concentrations and electrochemical performance in the MFC. (a) Change in ammonia concentration over time during system operation, demonstrating the MFC system’s removal efficiency. The initial total nitrogen species concentration (NHþ diff --git a/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_03.jpg b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..468ede1943d465018fd6edc64b14ad2e2590b151 --- /dev/null +++ b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:15b67c3f440ce43930f5d1d79fc326ea8277383af40ec592cced2185faeaea4d +size 181393 diff --git a/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_03.txt b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..dae0babe293b16151246f3ee49ffd9f76393ee33 --- /dev/null +++ b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/figure_03.txt @@ -0,0 +1 @@ +Shifts in the microbial community composition in an MFC employing ammonia as the sole energy source. The presence ratio (%) reflects the detection frequency of each genus. Genera present at a frequency of .0.2% are indicated, whereas those present at ,0.2% are aggregated under ‘Others’. The top two bar plots represent the specific and common bacterial communities in the initial activated sludge. The bottom two bar plots detail the specific and common bacterial communities after enrichment, highlighting the changes in the microbial community structure. Notably, despite ammonia being the sole energy source, no typical nitrifying, Feammox, and Anammox bacteria were detected, as evidenced in the bottom chart illustrating the post-enrichment community. This suggests the emergence of an unconventional microbial consortium adapted to electrogenic ammonia oxidation. diff --git a/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/graphic_abstract.jpg b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e757a4b59ddb885fd5fe252911db4cd06be29c51 --- /dev/null +++ b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a1a99638a1c68982399f887e91a3ae1d35f4924ed07417b01a4fa99f50a17a41 +size 120030 diff --git a/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/manifest.json b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ebc1aab2bfc4e26fd758c933971459312be48ff8 --- /dev/null +++ b/Figures/Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions/manifest.json @@ -0,0 +1,122 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Kimura and Hirata - 2024 - The utility of electrode-assisted ammonia oxidation under strict anaerobic conditions.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 4, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 1, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 64.87, + 500.21, + 466.97, + 699.86 + ], + "caption_bbox_points": [ + 70.87, + 494.7, + 158.65, + 502.7 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 120030, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 3, + "caption": "Experimental setup of the MFC. The bottle on the left is the ammonia-oxidizing anode chamber, whereas the bottle on the right serves as the 20 mM potassium ferricyanide-reducing cathode chamber. Both chambers are electrically connected via electrodes, thereby facilitating the use of ammonia as an electron donor under anaerobic conditions.", + "image": "figure_01.jpg", + "caption_file": "figure_01.txt", + "figure_bbox_points": [ + 123.66, + 376.45, + 471.73, + 607.29 + ], + "caption_bbox_points": [ + 70.87, + 608.77, + 524.47, + 637.01 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 115954, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_02", + "page": 6, + "caption": "Temporal profiles of nitrogen species concentrations and electrochemical performance in the MFC. (a) Change in ammonia concentration over time during system operation, demonstrating the MFC system’s removal efficiency. The initial total nitrogen species concentration (NHþ", + "image": "figure_02.jpg", + "caption_file": "figure_02.txt", + "figure_bbox_points": [ + 123.66, + 77.28, + 471.73, + 584.95 + ], + "caption_bbox_points": [ + 70.87, + 586.43, + 524.42, + 614.62 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 103288, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_03", + "page": 8, + "caption": "Shifts in the microbial community composition in an MFC employing ammonia as the sole energy source. The presence ratio (%) reflects the detection frequency of each genus. Genera present at a frequency of .0.2% are indicated, whereas those present at ,0.2% are aggregated under ‘Others’. The top two bar plots represent the specific and common bacterial communities in the initial activated sludge. The bottom two bar plots detail the specific and common bacterial communities after enrichment, highlighting the changes in the microbial community structure. Notably, despite ammonia being the sole energy source, no typical nitrifying, Feammox, and Anammox bacteria were detected, as evidenced in the bottom chart illustrating the post-enrichment community. This suggests the emergence of an unconventional microbial consortium adapted to electrogenic ammonia oxidation.", + "image": "figure_03.jpg", + "caption_file": "figure_03.txt", + "figure_bbox_points": [ + 78.64, + 77.28, + 516.74, + 565.67 + ], + "caption_bbox_points": [ + 70.87, + 567.1, + 524.46, + 645.28 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 181393, + "jpeg_quality": 84, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of file diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_01.jpg b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..63215d2f12290d5ef43c8a4db0993b87821b9c40 --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dee1d7262499887ee67a17e47f276437ab27316fc1854699c2a372c04589be54 +size 39954 diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_01.txt b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4d957b101e86d4c3f979ef46f69d220b53dde4d --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_01.txt @@ -0,0 +1 @@ +Scheme of the advanced WWTP experimental setup. Pre-filtration, pre-ozonation (0.31 + 0.16 g O3/g DOC) and continuous upflow GAC filters with empty bed contact time (EBCT) of 24 + 2.5 min. Sample points ¼ P1–P5; SC, secondary clarifier. diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_02.jpg b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d7d38e0eb28603ad2a581c699f889c21f8cc91d2 --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2a728f7688f170cff7165e7e29e50692442ab287fb0d59d8ce4e6b02cc37cbf +size 55046 diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_02.txt b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..b944e7724e3faed2394a555ea2fe24f02c4ee3f9 --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_02.txt @@ -0,0 +1 @@ +DOC concentration in the effluent of the wastewater treatment plant and relative removal of DOC in filter 1 with GAC 1 (a) and in filter 1 with GAC 2 (b). diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_03.jpg b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1aa9b0541f4a79aa3ad7045db7311a5fee9afdc5 --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0265f2e4ca16fda98e61ccc7b84a7f8419c3c5840e27805a7814ce1ffc037ed2 +size 33385 diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_03.txt b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..346e09ef350ef8551effe8a5706eacb13c80fea7 --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_03.txt @@ -0,0 +1 @@ +Relative removal of the sum of micropollutants (∑OMP) over bed volumes (BV) for filter 1 with GAC 1 (a) and filter 1 with GAC 2. ∑OMP ¼ benzotriazole, 4- and 5-benzotriazole, amisulpride, candesartan, carbamazepine, diclofenac, hydrochlorothiazide, irbesar- tan, metoprolol, sulfamethoxazole and venlafaxine. DOC0 was 6.8 + 1.3 mg/L (n ¼ 63) during the operation of GAC 1 and during the operation of GAC 2 8.4 + 1.5 mg/L (n ¼ 70). diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_04.jpg b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..49979f719baa48b1dc0e6f669ea8e6c0d4e5e46e --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:01032c13c78069109b918e58e3e385e93fa2edac1e2f0f6afed448a1aab2a4fe +size 91373 diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_04.txt b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c7dce31d0ba9dbf9bf4f84daed3b6051842fe1c --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_04.txt @@ -0,0 +1 @@ +Turbidity based on 24-h-mixed samples of the effluent of the wastewater treatment plant (WWTP), pre-filtration (a) and effluent of filter 1 (GAC 1) and filter 2 (O3 þ GAC 1) (b) between 0 and 8,000 m3/m3. (c) shows the relative removal of turbidity for both filters. diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_05.jpg b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f8ee127ba9ece4b8f07ce0da80f3fe7ec7e4652a --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6808c5f82afe7c162aecefcfa70ed0c968108e8aa9ea348db2625886873c9018 +size 59276 diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_05.txt b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..f477d7c05445986bcd62dc9e305d0eb51cdcf1a1 --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_05.txt @@ -0,0 +1 @@ +Influence of daily backwash/circulation (B/C) events on relative UV254 removal in the effluent of two GAC filters. diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_06.jpg b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4b55d68023a32bc480cd937da386a66783c62849 --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f697344cf6a509e327c3964bf4add3934ceb09207d975e5f083d379794cbbf0c +size 25831 diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_06.txt b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..01314e9075369d13977e2ef1a5dd415c5756f48a --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_06.txt @@ -0,0 +1 @@ +UV-absorbance at 254 nm (UV254), total suspended solids (TSS) and total phosphorus (TP) over time during backwashing/circu- lation (B/C) and afterwards in filter 1 with GAC 2. diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_07.jpg b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8cbb27aaa8e51a75f6819463e6362ec69279d2ed --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:efae91a985926554d82e14e3c31c1d33c3a591084cf996be3ed6157a99eef008 +size 48265 diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_07.txt b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a6176af086cf424658f78b9b09ba49e3ae931df --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_07.txt @@ -0,0 +1 @@ +Concentration of residual activated carbon (AC) and total suspended solids (TSS) in the effluent of GAC filter 1 with backwashing/ circulation at 0.6 Nm3/h (a) and 1.2 Nm3/h (b). The limit of quantification (LOQ) for AC was 0.1 mg/L and for TSS 2 mg/L (n ¼ 3). diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_08.jpg b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ac915aa00791d2f653e986d0d5cfe469ef32be14 --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:433ce7d1f9422dfd700045dff6ba170fa9d3d656696f3af52a6014215c49031f +size 64845 diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_08.txt b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..5273cecb82914f4ada7f542c2c0b6b3333bb0c9b --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/figure_08.txt @@ -0,0 +1 @@ +Particle size distribution of GAC 1 and GAC 2 sampled out of the continuous GAC filter for different numbers of bed volumes (BV). diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/graphic_abstract.jpg b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..83bbb533657e2e347d196e32beec42cd2794d614 --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7a07721269bf8746228e2d60d38b04cb1561d0ae28f099eda2b6964a1d7ce6ba +size 79826 diff --git a/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/manifest.json b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..970b47007f693c4f13fef3c327a5b9846357677d --- /dev/null +++ b/Figures/Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit/manifest.json @@ -0,0 +1,318 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Kirchen et al. - 2024 - Implications of the operation of continuous granular activated carbon filters on the effluent qualit.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 11, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 37.43, + 84.99, + 517.43, + 359.76 + ], + "caption_bbox_points": [ + 43.43, + 79.48, + 131.21, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 79826, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 3, + "caption": "Scheme of the advanced WWTP experimental setup. Pre-filtration, pre-ozonation (0.31 + 0.16 g O3/g DOC) and continuous upflow GAC filters with empty bed contact time (EBCT) of 24 + 2.5 min. 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qualit/table_02.txt @@ -0,0 +1 @@ +Backwash/circulation (B/C) settings for operation of two continuous granular activated carbon filters with QAir (air volume for airlift diff --git a/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_01.jpg b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..58f61779987010086d23992dd0639b3dd7aa181e --- /dev/null +++ b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bb35fd0e677f1e9ca9da50da404d46f72f0a25dfa7a70082499cd18774b01cdb +size 178868 diff --git a/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration 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/dev/null +++ b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7e77986fbf4077fd5b33af62534b1d29ca861299bccc8e6a932f07bb6ee28224 +size 183615 diff --git a/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_02.txt b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..71437fe75b3a4b1368ce41f3c5bc2a26ec40506e --- /dev/null +++ b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_02.txt @@ -0,0 +1 @@ +Classification of yearly precipitation sums and derivation of monthly factors. (a) Yearly precipitation sums and their classification as dry (red), normal (green) and wet (blue). (b)–(d) Monthly factors of each year and mean monthly factors of the dry, normal, and wet classes, respectively. (e) Comparison of the mean monthly factors of each class. diff --git a/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_03.jpg b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..be9615b157d486b948cdf300f2741b54ea83cff8 --- /dev/null +++ b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4cb341fc07c853b2ac3d016844fcaa3c93de2be8bec53623489609d1e70ff84a +size 172485 diff --git a/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_03.txt b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d691a3ccc84f85560727c2720a31cb35ad14923 --- /dev/null +++ b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_03.txt @@ -0,0 +1 @@ +Calibration: Baseflow hydrographs of favorite solutions of each model and calibration strategy. (a) Hydrographs of the S1 and MFA_* models, (b) hydrographs of the S2a models, and (c) hydrographs of the S2b models. diff --git a/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_04.jpg b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..19981952caa467b13d14a161c48d96c1387c64bf --- /dev/null +++ b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4bcf68d8837db5c49c2b1a8c6f1a6bbe0fa8d8b0f1d6ffee240099e0919c51e0 +size 162474 diff --git a/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_04.txt b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..89c657744a6041e4eed12bf232a6f417d363977d --- /dev/null +++ b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_04.txt @@ -0,0 +1 @@ +Calibration: FDC of each model and calibration strategy, (a) FDC of the S1 and MFA_* models, (b) FDC of the S2a models, and (c) FDC of the S2b models. diff --git a/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_05.jpg b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c3dabd83e8550e512ef859ba16984a7c128860d0 --- /dev/null +++ b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:910f72f19e7406108ef4eefb5dacb5cf39a0222b76056dfb2b2b6fad2357213e +size 183990 diff --git a/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_05.txt b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..925911391bed8c5eadd98b2d330e4979ce9d694e --- /dev/null +++ b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_05.txt @@ -0,0 +1 @@ +Calibration: GOFC of total flow and baseflow of all models and calibration strategies. diff --git a/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_06.jpg b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3e5f4ca183222249524c82e8b45996a2c4b65785 --- /dev/null +++ b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:600f5c5c81706de83711bb7759b4c3adfa4795928b2f22beca5594fb9c8154d8 +size 174011 diff --git a/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_06.txt b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..42d95798202f36ec8f24dbb38a19eca2a31baa2d --- /dev/null +++ b/Figures/Kissel et al. - 2024 - Impact of the model structure and calibration strategy on baseflow modeling in the German low mounta/figure_06.txt @@ -0,0 +1 @@ +Validation: Baseflow hydrographs of favorite solutions of each model and calibration strategy. 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b/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3660d3f20f7b6eff511123c9c42c3465c9f906f33c7720baaac1be0059c104a0 +size 182936 diff --git a/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_04.txt b/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f0e3c4b94f667468322f13c5dd54311cfe64186 --- /dev/null +++ b/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_04.txt @@ -0,0 +1 @@ +(a,b) Comparison of spatial correlation (blue) and spatial RMSE (red) probability density functions (PDFs) of u and v components of wind using interpolation and DL methods. (c,d) Comparison of temporal correlation (blue) and temporal RMSE (red) PDFs of u and v com- ponents of wind using interpolation and DL methods. diff --git a/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_05.jpg b/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f85c19c044fa5c15f36da7476ae697cc5ac9335f --- /dev/null +++ b/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dcca2313d63f54494f91dbcde9632ca04fa461a3525574c12ff8f02cab2ba9e3 +size 182016 diff --git a/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_05.txt b/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..c8586707fceaf4c2203de12e6e718f0276f11a61 --- /dev/null +++ b/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_05.txt @@ -0,0 +1 @@ +Wind speed data on 19 May 2020 12:00:00 IST. (a) Original (ground truth), (b) low-resolution wind obtained by upscaling. High- resolution wind obtained by employing (c) bicubic interpolation, (d) SRCNN, (e) stacked SRCNN, (f) deepSD. diff --git a/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_06.jpg b/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3a6020d2e8c73b6bacf5fd7d1d01193efdc69bab --- /dev/null +++ b/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:142284cc4bbb904cb46504e3768f618c326b10bbd671bc609f7d11ad2d605b64 +size 182940 diff --git a/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_06.txt b/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5fd5bc16a9163fd5d7a584a8e98333038efc55a --- /dev/null +++ b/Figures/Kolukula et al. - 2024 - Downscaling of wind fields on the east coast of In/figure_06.txt @@ -0,0 +1 @@ +Wind speed data on 20 March 2020 03:00:00 IST. (a) Original (ground truth), (b) low-resolution wind obtained by up-scaling. 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The black line represents the Amphan cyclone track. 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High-resolution wind obtained by employing (c) bicubic interpolation, (d) SRCNN, (e) stacked SRCNN, (f) deepSD. Difference (g–k) between simulated ground truth peak surge and (g) low-resolution wind generated peak surge, (h) high-resolution bicubic interpolation wind generated peak surge, (i) high-resolution SRCNN wind generated peak surge, (j) high-resolution stacked SRCNN wind generated peak surge, and (k) high-resolution deepSD wind generated peak surge. 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index 0000000000000000000000000000000000000000..a1880d22abf96b04b709dea7e30c81b45ffd0aa4 --- /dev/null +++ b/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c9593d7a196a3cc6b1e15f4a8ba4604426ac1dac40745eac3793ea860801faf6 +size 108995 diff --git a/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_01.txt b/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..82143b7c8de9f65ce2313c77b7a23745764642b6 --- /dev/null +++ b/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_01.txt @@ -0,0 +1 @@ +The Hias process with instrumentation. Influent and biomass carriers (black dots) enter anaerobic zones 1–3 (dark blue). Water flows through aerobic zones (light blue) where aeration rates (valves, FO) are used to control the dissolved oxygen concentration (white dots). Excess PO4-rich biomass is separated from treated effluent water in disc filter (yellow). diff --git a/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_02.jpg b/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0c8ce804cec1e3b21f273642ea2f645a3d295dff --- /dev/null +++ b/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:40abc5411915c13161b14e59fb47e2a790f489ad314b01eaa3ec9cfe2532518c +size 180403 diff --git a/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_02.txt b/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e9089ef332e3fd85288ec0034ec781c09a3acdc --- /dev/null +++ b/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_02.txt @@ -0,0 +1 @@ +Matrix of correlation plots between variables at inlet. diff --git a/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_03.jpg b/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..de9bb2e2dc6ca449e50c4debf121935d10524806 --- /dev/null +++ b/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f391ea3290fb7353936d4aa6aa0b8217258176b9957251108ac609af05423ccd +size 57600 diff --git a/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_03.txt b/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..6b5f3ce2511116f8925b4e8a3d7707a287851a30 --- /dev/null +++ b/Figures/Komulainen et al. - 2024 - Virtual sensors for the Hias process/figure_03.txt @@ -0,0 +1 @@ +Inlet PO4 laboratory measurements (*) and PO4 model estimate (blue line). diff --git a/Figures/Komulainen et al. - 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diff --git a/Figures/Konstantinova et al. - 2024 - Uptake of ecosystem service concept in urban blue-green infrastructure planning and decision-making/table_03.txt b/Figures/Konstantinova et al. - 2024 - Uptake of ecosystem service concept in urban blue-green infrastructure planning and decision-making/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0dd81099c091aa15740f3a4498e98b89e5354d8 --- /dev/null +++ b/Figures/Konstantinova et al. - 2024 - Uptake of ecosystem service concept in urban blue-green infrastructure planning and decision-making/table_03.txt @@ -0,0 +1 @@ +Distribution of explicit mentions of ES by categories diff --git a/Figures/Koottatep et al. - 2024 - Low-cost solar septic tanks as sustainable sanitation solution A case study implemented in Cambodia/figure_01.jpg b/Figures/Koottatep et al. - 2024 - Low-cost solar septic tanks as sustainable sanitation solution A case study implemented in Cambodia/figure_01.jpg new file mode 100644 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-0,0 +1 @@ +Solar water-heating device (a) made from the PE pipe (with an SST size of 650 L) and (b) made from the Cu pipe (with an SST size of 1,000 L). 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719.54 + ] + }, + { + "text": "1", + "bbox_points": [ + 362.37, + 713.54, + 365.69, + 719.54 + ] + }, + { + "text": "2001)", + "bbox_points": [ + 369.29, + 713.54, + 384.16, + 719.54 + ] + }, + { + "text": "and", + "bbox_points": [ + 386.18, + 713.54, + 396.23, + 719.54 + ] + }, + { + "text": "PL", + "bbox_points": [ + 398.2, + 713.54, + 404.57, + 719.54 + ] + }, + { + "text": "water", + "bbox_points": [ + 406.51, + 713.54, + 422.01, + 719.54 + ] + }, + { + "text": "(from", + "bbox_points": [ + 424.0, + 713.54, + 438.61, + 719.54 + ] + }, + { + "text": "1", + "bbox_points": [ + 440.55, + 713.54, + 443.86, + 719.54 + ] + }, + { + "text": "January", + "bbox_points": [ + 445.88, + 713.54, + 466.36, + 719.54 + ] + }, + { + "text": "1999)", + "bbox_points": [ + 468.33, + 713.54, + 483.2, + 719.54 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Figures/Kop\303\241\304\215ek et al. - 2024 - Tree dieback and subsequent changes in water quality accelerated the climate-related warming of a ce/table_01.txt" "b/Figures/Kop\303\241\304\215ek et al. - 2024 - Tree dieback and subsequent changes in water quality accelerated the climate-related warming of a ce/table_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d61692ddf41a742b2ef9d06768972bc33b690a54 --- /dev/null +++ "b/Figures/Kop\303\241\304\215ek et al. - 2024 - Tree dieback and subsequent changes in water quality accelerated the climate-related warming of a ce/table_01.txt" @@ -0,0 +1 @@ +Basic characteristics of cloudiness, incident solar radiation energy, and temperatures of air (Tair) and water (Twater) at CMS (elevation diff --git "a/Figures/Kop\303\241\304\215ek et al. - 2024 - Tree dieback and subsequent changes in water quality accelerated the climate-related warming of a ce/table_02.jpg" "b/Figures/Kop\303\241\304\215ek et al. - 2024 - Tree dieback and subsequent changes in water quality accelerated the climate-related warming of a ce/table_02.jpg" new file mode 100644 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accelerated the climate-related warming of a ce/table_02.json" @@ -0,0 +1,1253 @@ +{ + "kind": "table", + "label": "table_02", + "number": 2, + "caption": "Mean values and Sen’s slopes of trends in summer (July–September) concentrations of DOC, P, and Ch-a, A254, and transparency", + "page": 9, + "table_bbox_points": [ + 61.01, + 583.29, + 569.02, + 706.27 + ], + "caption_bbox_points": [ + 64.01, + 574.24, + 566.03, + 583.29 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 9, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "(SDD) in PL and CT lakes from 1998 to 2022", + "bbox_points": [ + 101.03, + 584.45, + 259.86, + 592.45 + ], + "words": [ + { + "text": "(SDD)", + "bbox_points": [ + 101.03, + 584.45, + 120.42, + 592.45 + ] + }, + { + "text": "in", + "bbox_points": [ + 123.08, + 584.45, + 129.57, + 592.45 + ] + }, + { + "text": "PL", + "bbox_points": [ + 132.21, + 584.45, + 140.71, + 592.45 + ] + }, + { + "text": "and", + "bbox_points": [ + 143.38, + 584.45, + 156.78, + 592.45 + ] + }, + { + "text": "CT", + "bbox_points": [ + 159.37, + 584.45, + 168.61, + 592.45 + ] + }, + { + "text": "lakes", + "bbox_points": [ + 171.27, + 584.45, + 189.76, + 592.45 + ] + }, + { + "text": "from", + "bbox_points": [ + 192.3, + 584.45, + 209.25, + 592.45 + ] + }, + { + "text": "1998", + "bbox_points": [ + 211.92, + 584.45, + 229.58, + 592.45 + ] + }, + { + "text": "to", + "bbox_points": [ + 232.22, + 584.45, + 239.54, + 592.45 + ] + }, + { + "text": "2022", + "bbox_points": [ + 242.19, + 584.45, + 259.86, + 592.45 + ] + } + ] + }, + { + "text": "PL lake CT lake", + "bbox_points": [ + 147.0, + 607.01, + 408.1, + 613.01 + ], + "words": [ + { + "text": "PL", + "bbox_points": [ + 147.0, + 607.01, + 154.06, + 613.01 + ] + }, + { + "text": "lake", + "bbox_points": [ + 156.08, + 607.01, + 169.19, + 613.01 + ] + }, + { + "text": "CT", + "bbox_points": [ + 385.4, + 607.01, + 393.01, + 613.01 + ] + }, + { + "text": "lake", + "bbox_points": [ + 394.98, + 607.01, + 408.1, + 613.01 + ] + } + ] + }, + { + "text": "DOC A254 P Ch-a SDD DOC A254 P Ch-a SDD", + "bbox_points": [ + 147.0, + 622.0, + 559.67, + 628.69 + ], + "words": [ + { + "text": "DOC", + "bbox_points": [ + 147.0, + 622.03, + 160.31, + 628.03 + ] + }, + { + "text": "A254", + "bbox_points": [ + 194.63, + 622.03, + 206.98, + 628.69 + ] + }, + { + "text": "P", + "bbox_points": [ + 242.25, + 622.03, + 246.12, + 628.03 + ] + }, + { + "text": "Ch-a", + "bbox_points": [ + 289.81, + 622.0, + 303.4, + 628.03 + ] + }, + { + "text": "SDD", + "bbox_points": [ + 337.44, + 622.03, + 350.31, + 628.03 + ] + }, + { + "text": "DOC", + "bbox_points": [ + 385.4, + 622.03, + 398.7, + 628.03 + ] + }, + { + "text": "A254", + "bbox_points": [ + 426.27, + 622.03, + 438.68, + 628.69 + ] + }, + { + "text": "P", + "bbox_points": [ + 469.98, + 622.03, + 473.85, + 628.03 + ] + }, + { + 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634.02 + ] + }, + { + "text": "μg", + "bbox_points": [ + 289.81, + 631.01, + 296.97, + 637.05 + ] + }, + { + "text": "L", + "bbox_points": [ + 298.43, + 631.05, + 301.62, + 637.05 + ] + }, + { + "text": "1", + "bbox_points": [ + 305.69, + 629.78, + 308.31, + 634.02 + ] + }, + { + "text": "m", + "bbox_points": [ + 337.44, + 631.05, + 343.31, + 637.05 + ] + }, + { + "text": "mg", + "bbox_points": [ + 385.4, + 631.05, + 395.02, + 637.05 + ] + }, + { + "text": "L", + "bbox_points": [ + 396.51, + 631.05, + 399.7, + 637.05 + ] + }, + { + "text": "1", + "bbox_points": [ + 403.71, + 629.78, + 406.33, + 634.02 + ] + }, + { + "text": "cm", + "bbox_points": [ + 426.27, + 631.05, + 435.58, + 637.05 + ] + }, + { + "text": "1", + "bbox_points": [ + 439.6, + 629.78, + 442.22, + 634.02 + ] + }, + { + "text": "μg", + "bbox_points": [ + 469.98, + 631.01, + 477.14, + 637.05 + ] + }, + { + "text": "L", + "bbox_points": [ + 478.6, + 631.05, + 481.79, + 637.05 + ] + }, + { + "text": "1", + "bbox_points": [ 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"text": "Pond", + "bbox_points": [ + 43.43, + 163.9, + 62.14, + 171.92 + ] + }, + { + "text": "(three", + "bbox_points": [ + 64.52, + 163.9, + 85.56, + 171.92 + ] + }, + { + "text": "sites)", + "bbox_points": [ + 87.93, + 163.9, + 106.23, + 171.92 + ] + }, + { + "text": "Mean", + "bbox_points": [ + 185.67, + 163.9, + 206.32, + 171.92 + ] + }, + { + "text": "0.69", + "bbox_points": [ + 274.96, + 163.9, + 290.21, + 171.92 + ] + }, + { + "text": "31.51", + "bbox_points": [ + 375.99, + 163.9, + 395.65, + 171.92 + ] + }, + { + "text": "3.22", + "bbox_points": [ + 492.38, + 163.9, + 507.62, + 171.92 + ] + } + ] + }, + { + "text": "SD 0.100 5.170 1.99", + "bbox_points": [ + 185.67, + 174.39, + 507.62, + 182.41 + ], + "words": [ + { + "text": "SD", + "bbox_points": [ + 185.67, + 174.39, + 196.99, + 182.41 + ] + }, + { + "text": "0.100", + "bbox_points": [ + 274.96, + 174.39, + 294.62, + 182.41 + ] + }, + { + "text": "5.170", + "bbox_points": [ + 375.99, + 174.39, + 395.65, + 182.41 + ] + }, + { + "text": "1.99", + "bbox_points": [ + 492.38, + 174.39, + 507.62, + 182.41 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Koraag et al. - 2024 - Environmental factors associated with Oncomelania hupensis lindoensis snails in a schistosomi/table_03.txt b/Figures/Koraag et al. - 2024 - Environmental factors associated with Oncomelania hupensis lindoensis snails in a schistosomi/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc1f068a040407db27cec4f0657ca0a48795ca71 --- /dev/null +++ b/Figures/Koraag et al. - 2024 - Environmental factors associated with Oncomelania hupensis lindoensis snails in a schistosomi/table_03.txt @@ -0,0 +1 @@ +Nitrogen and phosphor levels in sediments diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_01.jpg" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..a4cd354e31e82743d638f667d55568c76cc56aab --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d2f29345d8c52dd71ce3dda6b2a0200de1535b296709ffda30273ff66c709c7f +size 140637 diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_01.txt" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..754ee075bef37fbf6cae2c7d63f48b7750a45556 --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_01.txt" @@ -0,0 +1 @@ +Streamlines in the branching area of the numerical model with 30° bifurcation angle (Kostić & Theobald 2021a) (top) and schematic representation of the bifurcation studied by Bulle (1926) (bottom). diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_02.jpg" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..b279bb5cf31dbab729f15835f8716d7bb6cab958 --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7ee2e0e2bdb03c2f860c3ee38bd0939f163a03cb8e667033965f659d3a69ffa6 +size 146967 diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_02.txt" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..eb1a002da268aa78ddc82f6df9af172b42f501d6 --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_02.txt" @@ -0,0 +1 @@ +Bedload depositions corresponding to the models with α ¼ 30° ((a) numerical and (b) physical (Bulle 1926)), α ¼ 60° ((c) numerical and (d) physical (Bulle 1926)) and α ¼ 90° ((e) numerical and (f) physical (Bulle 1926)) for t ¼ 45 min (Kostić & Theobald 2021b). diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_03.jpg" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..200b70637f594d0b95cc57827a31b5dc8afb2bd6 --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1313125fdab87e90e3647beb206ca65d6b0278ca161947a303beee21f2877dff +size 62772 diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_03.txt" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..7ed8338b9ae213f1cfe896f7f6389b6d16ce6b45 --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_03.txt" @@ -0,0 +1 @@ +Percentage of bedload distribution for the 30° bifurcation model with discharge proportion Qs:Qb ¼ 60:40 for longer simulation time: sediment distribution on the two bifurcated channels (left) and depiction of bedload depositions (right). diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_04.jpg" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..2aba8fcc2a9d9617594a25fc4f59b6234d6cae23 --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c48451f73a5fd5a0dcbbcbdf71d7c72c05b9a4e2fc8f4a243fd7499cc542ec9c +size 127559 diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_04.txt" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..4526a6ac66e2a2234162daec31640f3cb2a207a5 --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_04.txt" @@ -0,0 +1 @@ +Results of numerical simulation with Nielsen (top) and Van Rijn (middle) as well as physical model results (bottom) for the Kassel University bifurcation model with silica sand and water depth h ¼ 0.1 m with even (left) and uneven (right) discharge distributions after simulation duration of 12 h. diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_05.jpg" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..6d7e396113d2f081c85f44283986e4ca7a254afc --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:54cf096ff9ec46578995eb327d173e3f7265faef8bccc2b4136efb149e82314f +size 135281 diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_05.txt" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..9b58b287083213dd420960303df8438f7edf1eec --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_05.txt" @@ -0,0 +1 @@ +Percentage of bedload distribution in the area before the bifurcation, the straight channel and the branching channel for the physical and numerical investigations with silica sand evaluated after each hour. diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_06.jpg" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..94adc2e83935bf29e1360e0aa865045f69370dd1 --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6b67010bc7e5107db79c2a35e5a9ea9ee0143edeefb4f4deba8e588c100f8b06 +size 72628 diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_06.txt" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..1e436b5978dcdee1c3eecb4382d4501efbdd07b4 --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/figure_06.txt" @@ -0,0 +1 @@ +Comparison of bedload deposition for the numerical and physical model with synthetic granules: with a water depth of h ¼ 0.1 m and three guide walls (left) and with a water depth of h ¼ 0.2 m and one guide wall (right). diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/graphic_abstract.jpg" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/graphic_abstract.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..cf0f8ff3fb28d3923df54f4af066855ab9c02496 --- /dev/null +++ "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/graphic_abstract.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fbf1c4e293d2a5ac55698cc9e5da7b76f6d9ceeb3ad8e984f8150e1ef92e91d9 +size 70445 diff --git "a/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/manifest.json" "b/Figures/Kosti\304\207 et al. - 2024 - 3D-CFD analysis of bedload transport in channel bifurcations/manifest.json" 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"figure", + "label": "figure_02", + "page": 8, + "caption": "Bedload depositions corresponding to the models with α ¼ 30° ((a) numerical and (b) physical (Bulle 1926)), α ¼ 60° ((c) numerical and (d) physical (Bulle 1926)) and α ¼ 90° ((e) numerical and (f) physical (Bulle 1926)) for t ¼ 45 min (Kostić & Theobald 2021b).", + "image": "figure_02.jpg", + "caption_file": "figure_02.txt", + "figure_bbox_points": [ + 78.02, + 77.28, + 552.12, + 441.23 + ], + "caption_bbox_points": [ + 64.01, + 442.03, + 566.07, + 461.07 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 146967, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_03", + "page": 9, + "caption": "Percentage of bedload distribution for the 30° bifurcation model with discharge proportion Qs:Qb ¼ 60:40 for longer simulation time: sediment distribution on the two 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SARS-CoV-2 virus solution was treated with various concentrations of ionless hypochlorous acid water, as described in Materials and Methods. (a) Pango lineage A virus (JPN/TY/WK-521) strain treated with 10 (white bar), 30 (light gray bar), 50 (gray bar), 100 (dark gray bar), and 200 (black dot bar) ppm of HOCl solution. (b) Pango lineage B.1.617.2 virus (KUH355) strain treated with 10 (white bar), 30 (light gray bar), 50 (gray bar), 100 (dark gray bar), and 200 (black dot bar) ppm of HOCl solution. The ddw (black bar) indicates that the virus solution was treated with water for injection. Na2S2O3 (gray dot bar) indicates that 200 ppm HOCl solution pretreated with 10% Na2S2O3 solution was mixed with the SARS-CoV-2 virus solution. Data were analyzed using one-way ANOVA with the Bonferroni post hoc test. **** p , 0.0001. diff --git a/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_02.jpg b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9688b0d668b9c535602e71b2571fc7bce85e4bee --- /dev/null +++ b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:823013322abe8f177b86e42968482fae6463f069e93d8c924511e6e3924c4a4c +size 58662 diff --git a/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_02.txt b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd6b0de3f93daa40a92fe411b373b7528b4e09e4 --- /dev/null +++ b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_02.txt @@ -0,0 +1 @@ +Influence of organic compounds on the SARS-CoV-2 virucidal efficacy of HOCl. SARS-CoV-2 virus solution was treated with various concentration of ionless hypochlorous acid water, as described in Materials and Methods. (a) JPN/TY/WK-521 strain treated with 1 (white bar), 30 (light gray bar), 50 (gray bar), and 100 (dark gray bar) ppm of HOCl solution. (b) KUH355 strain treated with 1 (white bar), 30 (light gray bar), 50 (gray bar), and 100 (dark gray bar) ppm of HOCl solution. The ddw (black bar) indicates that the viral solution was treated with water for injection. Na2S2O3 (gray dot bar) indicates that 200 ppm HOCl solution pretreated by 10% Na2S2O3 solution was pretreated with SARS-CoV-2 virus solution. Data were analyzed using one-way ANOVA with the Bonferroni post hoc test. **** p , 0.0001. diff --git a/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_03.jpg b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a979c9335bdc65154d696312cf7c68ed6d62463c --- /dev/null +++ b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e2e848a0a0df3871ea026ea4496355dcca56cb478e04a6ed19a7c2082996ac91 +size 70329 diff --git a/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_03.txt b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e25d8d6cd56419118ee4a0cfc36eeea4303ffbc --- /dev/null +++ b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_03.txt @@ -0,0 +1 @@ +Diagrammatic representation of the chamber. (a) Schema of the chamber used for the spray test. (b) Photo graph of the chamber. diff --git a/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_04.jpg b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..77cf33e50ee4333eef005c155d0eeb7f89e36322 --- /dev/null +++ b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8dcc3d8405a65d5b885207da911433305a70e64500e706fd8d265df26810cad9 +size 82307 diff --git a/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_04.txt b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..9993eab7ef03a9bad1013201b053ebe224ec5d09 --- /dev/null +++ b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/figure_04.txt @@ -0,0 +1 @@ +Evaluation of SARS-CoV-2 virucidal efficacy of atomized HOCl. SARS-CoV-2 virus solution was treated with various concentrations of ionless hypochlorous acid water, as described in Materials and Methods. (a) KUH355 virus strain in the presence of 0.2% FBS condition atomized with 30 (gray bar), 300 (dark gray bar), and 500 (dot bar) ppm of HOCl solution. (b) KUH355 strain in the presence of 0.02% FBS condition atomized with 10 (gray bar), 30 (dark gray bar), and 300 (dot bar) ppm of HOCl solution. The control (white bar) indicates the sequential reduction of the viral titer during the spray test. The stock (black bar) indicates the viral titer of a virus stock solution. The ddw (light gray bar) indicates that the virus solution was atomized with double distilled water. Data were analyzed using one-way ANOVA with the Bonferroni post hoc test. * p , 0.05. ** p , 0.005. **** p , 0.0001. diff --git a/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/graphic_abstract.jpg b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..abacfbb9e6ebe9d8d675045c1ad78ecbed0f4c20 --- /dev/null +++ b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ed3cb220ea31bc3e889c1503396c236dd3d73dff95f6eab7cb13587e3c802eb +size 79082 diff --git a/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/manifest.json b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5bf06fc46b3c16b4493bfe2c5a888a3e5d412e74 --- /dev/null +++ b/Figures/Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2/manifest.json @@ -0,0 +1,150 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Kubo et al. - 2024 - Virucidal efficacy of hypochlorous acid water for aqueous phase and atomization against SARS-CoV-2.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 5, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 37.43, + 84.99, + 470.6, + 418.55 + ], + "caption_bbox_points": [ + 43.43, + 79.48, + 131.21, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 79082, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 5, + "caption": "Evaluation of HOCl virucidal efficacy against SARS-CoV-2. 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Weir type Equation to measure discharge", + "bbox_points": [ + 64.01, + 526.0, + 539.85, + 532.0 + ], + "words": [ + { + "text": "Sr.", + "bbox_points": [ + 64.01, + 526.0, + 72.24, + 532.0 + ] + }, + { + "text": "no.", + "bbox_points": [ + 74.27, + 526.0, + 83.88, + 532.0 + ] + }, + { + "text": "Weir", + "bbox_points": [ + 238.56, + 526.0, + 252.75, + 532.0 + ] + }, + { + "text": "type", + "bbox_points": [ + 254.78, + 526.0, + 268.64, + 532.0 + ] + }, + { + "text": "Equation", + "bbox_points": [ + 442.71, + 526.0, + 470.32, + 532.0 + ] + }, + { + "text": "to", + "bbox_points": [ + 472.25, + 526.0, + 478.74, + 532.0 + ] + }, + { + "text": "measure", + "bbox_points": [ + 480.75, + 526.0, + 507.56, + 532.0 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 509.5, + 526.0, + 539.85, + 532.0 + ] + } + ] + }, + { + "text": "1 Sharp crested Q ¼ CdLeH3=2", + "bbox_points": [ + 64.01, + 540.96, + 493.03, + 552.19 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 64.01, + 541.14, 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569.59 + ] + }, + { + "text": "2g", + "bbox_points": [ + 482.0, + 560.71, + 490.17, + 568.83 + ] + }, + { + "text": "Hh2", + "bbox_points": [ + 500.37, + 558.73, + 515.08, + 568.83 + ] + }, + { + "text": "h3", + "bbox_points": [ + 525.26, + 558.73, + 533.11, + 568.83 + ] + } + ] + }, + { + "text": "3 Ogee shaped 2 p ffiffiffiffiffi", + "bbox_points": [ + 64.01, + 572.83, + 491.09, + 583.23 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 64.01, + 575.21, + 68.42, + 583.23 + ] + }, + { + "text": "Ogee", + "bbox_points": [ + 238.56, + 575.21, + 257.31, + 583.23 + ] + }, + { + "text": "shaped", + "bbox_points": [ + 259.66, + 575.21, + 285.04, + 583.23 + ] + }, + { + "text": "2", + "bbox_points": [ + 460.06, + 574.87, + 464.48, + 582.88 + ] + }, + { + "text": "p", + "bbox_points": [ + 474.97, + 572.83, + 482.97, + 580.83 + ] + }, + { + "text": "ffiffiffiffiffi", + "bbox_points": [ + 482.91, + 572.83, + 491.09, + 580.83 + ] + } + ] + }, + { + "text": "Q ¼ Cd 2g LH3=2", + "bbox_points": [ + 442.72, + 578.66, + 512.08, + 589.09 + ], + "words": [ + { + "text": "Q", + "bbox_points": [ + 442.72, + 580.31, + 449.46, + 588.33 + ] + }, + { + "text": "¼", + "bbox_points": [ + 451.67, + 580.03, + 457.83, + 588.03 + ] + }, + { + "text": "Cd", + "bbox_points": [ + 465.79, + 580.21, + 474.43, + 589.09 + ] + }, + { + "text": "2g", + "bbox_points": [ + 482.91, + 580.21, + 491.08, + 588.33 + ] + }, + { + "text": "LH3=2", + "bbox_points": [ + 491.07, + 578.66, + 512.08, + 588.21 + ] + } + ] + }, + { + "text": "3", + "bbox_points": [ + 460.06, + 585.81, + 464.48, + 593.83 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 460.06, + 585.81, + 464.48, + 593.83 + ] + } + ] + }, + { + "text": "4 Contracted 2 p ffiffiffiffiffi", + "bbox_points": [ + 64.01, + 595.51, + 491.09, + 605.9 + ], + "words": [ + { + "text": "4", + "bbox_points": [ + 64.01, + 597.89, + 68.42, + 605.9 + ] + }, + { + "text": "Contracted", + "bbox_points": [ + 238.56, + 597.89, + 278.09, + 605.9 + ] + }, + { + "text": "2", + "bbox_points": [ + 460.06, + 597.55, + 464.48, + 605.56 + ] + }, + { + "text": "p", + "bbox_points": [ + 474.97, + 595.51, + 482.97, + 603.51 + ] + }, + { + "text": "ffiffiffiffiffi", + "bbox_points": [ + 482.91, + 595.51, + 491.09, + 603.51 + ] + } + ] + }, + { + "text": "Q ¼ Cd 2g LH3=2", + "bbox_points": [ + 442.71, + 601.28, + 512.08, + 611.77 + ], + "words": [ + { + "text": "Q", + "bbox_points": [ + 442.71, + 602.99, + 449.46, + 611.0 + ] + }, + { + "text": "¼", + "bbox_points": [ + 451.67, + 602.71, + 457.83, + 610.71 + ] + }, + { + "text": "Cd", + "bbox_points": [ + 465.79, + 602.89, + 474.43, + 611.77 + ] + }, + { + "text": "2g", + "bbox_points": [ + 482.91, + 602.89, + 491.08, + 611.0 + ] + }, + { + "text": "LH3=2", + "bbox_points": [ + 491.07, + 601.28, + 512.08, + 610.89 + ] + } + ] + }, + { + "text": "3", + "bbox_points": [ + 460.06, + 608.43, + 464.48, + 616.45 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 460.06, + 608.43, + 464.48, + 616.45 + ] + } + ] + }, + { + "text": "5 Suppressed 2 p ffiffiffiffiffi", + "bbox_points": [ + 64.01, + 618.13, + 491.09, + 628.58 + ], + "words": [ + { + "text": "5", + "bbox_points": [ + 64.01, + 620.56, + 68.42, + 628.58 + ] + }, + { + "text": "Suppressed", + "bbox_points": [ + 238.56, + 620.56, + 279.23, + 628.58 + ] + }, + { + "text": "2", + "bbox_points": [ + 460.06, + 620.17, + 464.48, + 628.18 + ] + }, + { + "text": "p", + "bbox_points": [ + 474.97, + 618.13, + 482.97, + 626.13 + ] + }, + { + "text": "ffiffiffiffiffi", + "bbox_points": [ + 482.91, + 618.13, + 491.09, + 626.13 + ] + } + ] + }, + { + "text": "Q ¼ Cd 2g L(H1 H2)3=2", + "bbox_points": [ + 442.71, + 623.39, + 542.52, + 634.45 + ], + "words": [ + { + "text": "Q", + "bbox_points": [ + 442.71, + 625.61, + 449.46, + 633.62 + ] + }, + { + "text": "¼", + "bbox_points": [ + 451.67, + 625.33, + 457.83, + 633.33 + ] + }, + { + "text": "Cd", + "bbox_points": [ + 465.79, + 625.51, + 474.43, + 634.45 + ] + }, + { + "text": "2g", + "bbox_points": [ + 482.91, + 625.51, + 491.08, + 633.62 + ] + }, + { + "text": "L(H1", + "bbox_points": [ + 491.07, + 625.51, + 508.79, + 634.3 + ] + }, + { + "text": "H2)3=2", + "bbox_points": [ + 520.55, + 623.39, + 542.52, + 634.3 + ] + } + ] + }, + { + "text": "3", + "bbox_points": [ + 460.06, + 631.11, + 464.48, + 639.12 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 460.06, + 631.11, + 464.48, + 639.12 + ] + } + ] + }, + { + "text": "6 Rectangular 2 p ffiffiffiffiffi", + "bbox_points": [ + 64.01, + 640.81, + 491.09, + 651.2 + ], + "words": [ + { + "text": "6", + "bbox_points": [ + 64.01, + 643.18, + 68.42, + 651.2 + ] + }, + { + "text": "Rectangular", + "bbox_points": [ + 238.56, + 643.18, + 281.58, + 651.2 + ] + }, + { + "text": "2", + "bbox_points": [ + 460.06, + 642.84, + 464.48, + 650.86 + ] + }, + { + "text": "p", + "bbox_points": [ + 474.97, + 640.81, + 482.97, + 648.81 + ] + }, + { + "text": "ffiffiffiffiffi", + "bbox_points": [ + 482.91, + 640.81, + 491.09, + 648.81 + ] + } + ] + }, + { + "text": "Q ¼ Cd 2g LH3=2", + "bbox_points": [ + 442.71, + 646.64, + 512.08, + 657.07 + ], + "words": [ + { + "text": "Q", + "bbox_points": [ + 442.71, + 648.29, + 449.46, + 656.3 + ] + }, + { + "text": "¼", + "bbox_points": [ + 451.67, + 648.01, + 457.83, + 656.01 + ] + }, + { + "text": "Cd", + "bbox_points": [ + 465.79, + 648.18, + 474.43, + 657.07 + ] + }, + { + "text": "2g", + "bbox_points": [ + 482.91, + 648.18, + 491.08, + 656.3 + ] + }, + { + "text": "LH3=2", + "bbox_points": [ + 491.07, + 646.64, + 512.08, + 656.18 + ] + } + ] + }, + { + "text": "3", + "bbox_points": [ + 460.06, + 653.79, + 464.48, + 661.8 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 460.06, + 653.79, + 464.48, + 661.8 + ] + } + ] + }, + { + "text": "7 Triangular 8 p ffiffiffiffiffi", + "bbox_points": [ + 64.01, + 663.48, + 497.67, + 673.88 + ], + "words": [ + { + "text": "7", + "bbox_points": [ + 64.01, + 665.86, + 68.42, + 673.88 + ] + }, + { + "text": "Triangular", + "bbox_points": [ + 238.56, + 665.86, + 275.91, + 673.88 + ] + }, + { + "text": "8", + "bbox_points": [ + 463.35, + 665.52, + 467.77, + 673.54 + ] + }, + { + "text": "p", + "bbox_points": [ + 481.61, + 663.48, + 489.61, + 671.48 + ] + }, + { + "text": "ffiffiffiffiffi", + "bbox_points": [ + 489.54, + 663.48, + 497.67, + 671.48 + ] + } + ] + }, + { + "text": "Q ¼ Cd 2g tan uH5=2", + "bbox_points": [ + 442.71, + 669.26, + 530.81, + 679.75 + ], + "words": [ + { + "text": "Q", + "bbox_points": [ + 442.71, + 670.96, + 449.46, + 678.98 + ] + }, + { + "text": "¼", + "bbox_points": [ + 451.67, + 670.68, + 457.83, + 678.68 + ] + }, + { + "text": "Cd", + "bbox_points": [ + 472.42, + 670.86, + 481.07, + 679.75 + ] + }, + { + "text": "2g", + "bbox_points": [ + 489.54, + 670.86, + 497.71, + 678.98 + ] + }, + { + "text": "tan", + "bbox_points": [ + 499.01, + 670.96, + 510.49, + 678.98 + ] + }, + { + "text": "uH5=2", + "bbox_points": [ + 511.49, + 669.26, + 530.81, + 678.86 + ] + } + ] + }, + { + "text": "15", + "bbox_points": [ + 462.27, + 676.46, + 471.11, + 684.48 + ], + "words": [ + { + "text": "15", + "bbox_points": [ + 462.27, + 676.46, + 471.11, + 684.48 + ] + } + ] + }, + { + "text": "8 Trapezoidal 2 p ffiffiffiffiffi 4", + "bbox_points": [ + 64.01, + 686.16, + 534.83, + 696.55 + ], + "words": [ + { + "text": "8", + "bbox_points": [ + 64.01, + 688.54, + 68.42, + 696.55 + ] + }, + { + "text": "Trapezoidal", + "bbox_points": [ + 238.56, + 688.54, + 281.03, + 696.55 + ] + }, + { + "text": "2", + "bbox_points": [ + 460.06, + 688.14, + 464.48, + 696.16 + ] + }, + { + "text": "p", + "bbox_points": [ + 474.97, + 686.16, + 482.97, + 694.16 + ] + }, + { + "text": "ffiffiffiffiffi", + "bbox_points": [ + 482.91, + 686.16, + 491.09, + 694.16 + ] + }, + { + "text": "4", + "bbox_points": [ + 530.42, + 688.14, + 534.83, + 696.16 + ] + } + ] + }, + { + "text": "Q ¼ Cd 2g H3=2 (L1 þ tan uH1)", + "bbox_points": [ + 442.71, + 691.94, + 565.99, + 702.42 + ], + "words": [ + { + 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over the rough bed in case of submerged hydraulic jump: (a) T1, (b) T2, (c) T3, and (d) T4. (continued.). diff --git a/Figures/Kumar Jayant and Jhamnani - 2024 - Numerical study of submerged hydraulic jumps over triangular macroroughnesses/figure_10_part_2.jpg b/Figures/Kumar Jayant and Jhamnani - 2024 - Numerical study of submerged hydraulic jumps over triangular macroroughnesses/figure_10_part_2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..01a2b60a4eedc229d5d9b91afd217ebb4cd32715 --- /dev/null +++ b/Figures/Kumar Jayant and Jhamnani - 2024 - Numerical study of submerged hydraulic jumps over triangular macroroughnesses/figure_10_part_2.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ebd9c570b72de7ea5fce210d1acaf53940ac5f37b2b96933d61d594addbae1a +size 182419 diff --git a/Figures/Kumar Jayant and Jhamnani - 2024 - Numerical study of submerged hydraulic jumps over triangular macroroughnesses/figure_10_part_2.txt b/Figures/Kumar Jayant and Jhamnani - 2024 - Numerical study of submerged hydraulic jumps over triangular 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Ref. 4.69*** 4.05–5.43", + "bbox_points": [ + 72.0, + 242.59, + 557.23, + 250.89 + ], + "words": [ + { + "text": "Not", + "bbox_points": [ + 72.0, + 242.87, + 85.9, + 250.89 + ] + }, + { + "text": "literate", + "bbox_points": [ + 88.27, + 242.87, + 112.99, + 250.89 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 195.02, + 242.87, + 208.96, + 250.89 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 325.76, + 242.87, + 339.64, + 250.89 + ] + }, + { + "text": "4.69***", + "bbox_points": [ + 456.43, + 242.87, + 484.16, + 250.89 + ] + }, + { + "text": "4.05–5.43", + "bbox_points": [ + 522.82, + 242.59, + 557.23, + 250.89 + ] + } + ] + }, + { + "text": "Primary 1.26*** 1.20–1.31 1.14*** 1.07–1.20 2.96*** 2.56–3.43", + "bbox_points": [ + 72.0, + 256.6, + 557.23, + 264.89 + ], + "words": [ + { + "text": "Primary", + "bbox_points": [ + 72.0, + 256.88, + 100.72, + 264.89 + ] + }, + { + "text": "1.26***", + "bbox_points": [ + 195.02, + 256.88, + 222.75, + 264.89 + ] + }, + { + "text": "1.20–1.31", + "bbox_points": [ + 257.05, + 256.6, + 291.46, + 264.89 + ] + }, + { + "text": "1.14***", + "bbox_points": [ + 325.76, + 256.88, + 353.49, + 264.89 + ] + }, + { + "text": "1.07–1.20", + "bbox_points": [ + 387.72, + 256.6, + 422.13, + 264.89 + ] + }, + { + "text": "2.96***", + "bbox_points": [ + 456.43, + 256.88, + 484.16, + 264.89 + ] + }, + { + "text": "2.56–3.43", + "bbox_points": [ + 522.82, + 256.6, + 557.23, + 264.89 + ] + } + ] + }, + { + "text": "Higher Secondary 1.71*** 1.64–1.79 1.59*** 1.51–1.68 2.14*** 1.85–2.47", + "bbox_points": [ + 72.0, + 270.6, + 557.23, + 278.9 + ], + "words": [ + { + "text": "Higher", + "bbox_points": [ + 72.0, + 270.88, + 97.23, + 278.9 + ] + }, + { + "text": "Secondary", + "bbox_points": [ + 99.55, + 270.88, + 137.51, + 278.9 + ] + }, + { + "text": "1.71***", + "bbox_points": [ + 195.02, + 270.88, + 222.75, + 278.9 + ] + }, + { + "text": "1.64–1.79", + "bbox_points": [ + 257.05, + 270.6, + 291.46, + 278.9 + ] + }, + { + "text": "1.59***", + "bbox_points": [ + 325.76, + 270.88, + 353.49, + 278.9 + ] + }, + { + "text": "1.51–1.68", + "bbox_points": [ + 387.72, + 270.6, + 422.13, + 278.9 + ] + }, + { + "text": "2.14***", + "bbox_points": [ + 456.43, + 270.88, + 484.16, + 278.9 + ] + }, + { + "text": "1.85–2.47", + "bbox_points": [ + 522.82, + 270.6, + 557.23, + 278.9 + ] + } + ] + }, + { + "text": "Graduation 3.22*** 2.98–3.48 2.66*** 2.42–2.93 Ref.", + "bbox_points": [ + 72.0, + 284.6, + 470.32, + 292.9 + ], + "words": [ + { + "text": "Graduation", + "bbox_points": [ + 72.0, + 284.88, + 113.21, + 292.9 + ] + }, + { + "text": "3.22***", + "bbox_points": [ + 195.02, + 284.88, + 222.75, + 292.9 + ] + }, + { + "text": "2.98–3.48", + "bbox_points": [ + 257.05, + 284.6, + 291.46, + 292.9 + ] + }, + { + "text": "2.66***", + "bbox_points": [ + 325.76, + 284.88, + 353.49, + 292.9 + ] + }, + { + "text": "2.42–2.93", + "bbox_points": [ + 387.72, + 284.6, + 422.13, + 292.9 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 456.44, + 284.88, + 470.32, + 292.9 + ] + } + ] + }, + { + "text": "Household size", + "bbox_points": [ + 64.01, + 298.89, + 119.67, + 306.9 + ], + "words": [ + { + "text": "Household", + "bbox_points": [ + 64.01, + 298.89, + 103.62, + 306.9 + ] + }, + { + "text": "size", + "bbox_points": [ + 106.02, + 298.89, + 119.67, + 306.9 + ] + } + ] + }, + { + "text": "Four Ref. Ref. Ref.", + "bbox_points": [ + 72.0, + 312.89, + 470.31, + 320.91 + ], + "words": [ + { + "text": "Four", + "bbox_points": [ + 72.0, + 312.89, + 88.85, + 320.91 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 195.02, + 312.89, + 208.96, + 320.91 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 325.76, + 312.89, + 339.64, + 320.91 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 456.43, + 312.89, + 470.31, + 320.91 + ] + } + ] + }, + { + "text": "Five and more 1.75*** 1.69–1.82 1,38*** 1.32–1.44 0.71*** 0.68–0.75", + "bbox_points": [ + 72.0, + 326.61, + 557.23, + 334.91 + ], + "words": [ + { + "text": "Five", + "bbox_points": [ + 72.0, + 326.89, + 87.0, + 334.91 + ] + }, + { + "text": "and", + "bbox_points": [ + 89.41, + 326.89, + 102.89, + 334.91 + ] + }, + { + "text": "more", + "bbox_points": [ + 105.28, + 326.89, + 123.79, + 334.91 + ] + }, + { + "text": "1.75***", + "bbox_points": [ + 195.03, + 326.89, + 222.75, + 334.91 + ] + }, + { + "text": "1.69–1.82", + "bbox_points": [ + 257.05, + 326.61, + 291.46, + 334.91 + ] + }, + { + "text": "1,38***", + "bbox_points": [ + 325.76, + 326.89, + 353.49, + 334.91 + ] + }, + { + "text": "1.32–1.44", + "bbox_points": [ + 387.72, + 326.61, + 422.13, + 334.91 + ] + }, + { + "text": "0.71***", + "bbox_points": [ + 456.44, + 326.89, + 484.16, + 334.91 + ] + }, + { + "text": "0.68–0.75", + "bbox_points": [ + 522.82, + 326.61, + 557.23, + 334.91 + ] + } + ] + }, + { + "text": "Religion", + "bbox_points": [ + 64.01, + 340.9, + 93.7, + 348.91 + ], + "words": [ + { + "text": "Religion", + "bbox_points": [ + 64.01, + 340.9, + 93.7, + 348.91 + ] + } + ] + }, + { + "text": "Hindu Ref. Ref. 1.68*** 1.51–1.87", + "bbox_points": [ + 72.0, + 354.62, + 557.23, + 362.91 + ], + "words": [ + { + "text": "Hindu", + "bbox_points": [ + 72.0, + 354.9, + 95.23, + 362.91 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 195.03, + 354.9, + 208.96, + 362.91 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 325.76, + 354.9, + 339.64, + 362.91 + ] + }, + { + "text": "1.68***", + "bbox_points": [ + 456.43, + 354.9, + 484.16, + 362.91 + ] + }, + { + "text": "1.51–1.87", + "bbox_points": [ + 522.82, + 354.62, + 557.23, + 362.91 + ] + } + ] + }, + { + "text": "Islam 1.03 0.98–1.08 1.02 0.96–1.08 1.04 0.92–1.18", + "bbox_points": [ + 72.0, + 368.62, + 557.23, + 376.92 + ], + "words": [ + { + "text": "Islam", + "bbox_points": [ + 72.0, + 368.9, + 91.98, + 376.92 + ] + }, + { + "text": "1.03", + "bbox_points": [ + 195.03, + 368.9, + 210.27, + 376.92 + ] + }, + { + "text": "0.98–1.08", + "bbox_points": [ + 257.05, + 368.62, + 291.46, + 376.92 + ] + }, + { + "text": "1.02", + "bbox_points": [ + 325.76, + 368.9, + 341.01, + 376.92 + ] + }, + { + "text": "0.96–1.08", + "bbox_points": [ + 387.72, + 368.62, + 422.13, + 376.92 + ] + }, + { + "text": "1.04", + "bbox_points": [ + 456.44, + 368.9, + 471.68, + 376.92 + ] + }, + { + "text": "0.92–1.18", + "bbox_points": [ + 522.82, + 368.62, + 557.23, + 376.92 + ] + } + ] + }, + { + "text": "Other 1.24*** 1.16–1.33 1.19*** 1.10–1.29 Ref.", + "bbox_points": [ + 72.0, + 382.62, + 470.32, + 390.92 + ], + "words": [ + { + "text": "Other", + "bbox_points": [ + 72.0, + 382.9, + 93.23, + 390.92 + ] + }, + { + "text": "1.24***", + "bbox_points": [ + 195.03, + 382.9, + 222.75, + 390.92 + ] + }, + { + "text": "1.16–1.33", + "bbox_points": [ + 257.05, + 382.62, + 291.46, + 390.92 + ] + }, + { + "text": "1.19***", + "bbox_points": [ + 325.76, + 382.9, + 353.49, + 390.92 + ] + }, + { + "text": "1.10–1.29", + "bbox_points": [ + 387.73, + 382.62, + 422.14, + 390.92 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 456.44, + 382.9, + 470.32, + 390.92 + ] + } + ] + }, + { + "text": "Caste", + "bbox_points": [ + 64.01, + 396.85, + 83.63, + 404.87 + ], + "words": [ + { + "text": "Caste", + "bbox_points": [ + 64.01, + 396.85, + 83.63, + 404.87 + ] + } + ] + }, + { + "text": "Scheduled Tribe Ref. Ref. 2.30*** 2.11–2.51", + "bbox_points": [ + 72.0, + 410.57, + 557.23, + 418.87 + ], + "words": [ + { + "text": "Scheduled", + "bbox_points": [ + 72.0, + 410.85, + 109.44, + 418.87 + ] + }, + { + "text": "Tribe", + "bbox_points": [ + 111.86, + 410.85, + 130.58, + 418.87 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 195.03, + 410.85, + 208.97, + 418.87 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 325.76, + 410.85, + 339.64, + 418.87 + ] + }, + { + "text": "2.30***", + "bbox_points": [ + 456.44, + 410.85, + 484.16, + 418.87 + ] + }, + { + "text": "2.11–2.51", + "bbox_points": [ + 522.82, + 410.57, + 557.23, + 418.87 + ] + } + ] + }, + { + "text": "Scheduled Caste 1.06 1.00–1.13 1.27*** 1.17–1.37 2.62*** 2.44–2.81", + "bbox_points": [ + 72.0, + 424.58, + 557.23, + 432.87 + ], + "words": [ + { + "text": "Scheduled", + "bbox_points": [ + 72.0, + 424.86, + 109.44, + 432.87 + ] + }, + { + "text": "Caste", + "bbox_points": [ + 111.86, + 424.86, + 131.47, + 432.87 + ] + }, + { + "text": "1.06", + "bbox_points": [ + 195.03, + 424.86, + 210.27, + 432.87 + ] + }, + { + "text": "1.00–1.13", + "bbox_points": [ + 257.05, + 424.58, + 291.46, + 432.87 + ] + }, + { + "text": "1.27***", + "bbox_points": [ + 325.76, + 424.86, + 353.49, + 432.87 + ] + }, + { + "text": "1.17–1.37", + "bbox_points": [ + 387.73, + 424.58, + 422.14, + 432.87 + ] + }, + { + "text": "2.62***", + "bbox_points": [ + 456.44, + 424.86, + 484.17, + 432.87 + ] + }, + { + "text": "2.44–2.81", + "bbox_points": [ + 522.82, + 424.58, + 557.23, + 432.87 + ] + } + ] + }, + { + "text": "Other backward class 1.42*** 1.34–1.50 1.41*** 1.32–1.52 2.07*** 1.94–2.21", + "bbox_points": [ + 72.0, + 438.58, + 557.24, + 446.88 + ], + "words": [ + { + "text": "Other", + "bbox_points": [ + 72.0, + 438.86, + 93.23, + 446.88 + ] + }, + { + "text": "backward", + "bbox_points": [ + 95.59, + 438.86, + 130.56, + 446.88 + ] + }, + { + "text": "class", + "bbox_points": [ + 132.95, + 438.86, + 150.09, + 446.88 + ] + }, + { + "text": "1.42***", + "bbox_points": [ + 195.03, + 438.86, + 222.76, + 446.88 + ] + }, + { + "text": "1.34–1.50", + "bbox_points": [ + 257.05, + 438.58, + 291.46, + 446.88 + ] + }, + { + "text": "1.41***", + "bbox_points": [ + 325.76, + 438.86, + 353.49, + 446.88 + ] + }, + { + "text": "1.32–1.52", + "bbox_points": [ + 387.73, + 438.58, + 422.14, + 446.88 + ] + }, + { + "text": "2.07***", + "bbox_points": [ + 456.44, + 438.86, + 484.17, + 446.88 + ] + }, + { + "text": "1.94–2.21", + "bbox_points": [ + 522.83, + 438.58, + 557.24, + 446.88 + ] + } + ] + }, + { + "text": "Other 2.04*** 1.91–2.18 2.06*** 1.91–2.23 Ref.", + "bbox_points": [ + 72.01, + 452.58, + 470.32, + 460.88 + ], + "words": [ + { + "text": "Other", + "bbox_points": [ + 72.01, + 452.86, + 93.23, + 460.88 + ] + }, + { + "text": "2.04***", + "bbox_points": [ + 195.03, + 452.86, + 222.76, + 460.88 + ] + }, + { + "text": "1.91–2.18", + "bbox_points": [ + 257.05, + 452.58, + 291.46, + 460.88 + ] + }, + { + "text": "2.06***", + "bbox_points": [ + 325.76, + 452.86, + 353.49, + 460.88 + ] + }, + { + "text": "1.91–2.23", + "bbox_points": [ + 387.73, + 452.58, + 422.14, + 460.88 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 456.44, + 452.86, + 470.32, + 460.88 + ] + } + ] + }, + { + "text": "MPCE", + "bbox_points": [ + 64.01, + 466.87, + 88.0, + 474.88 + ], + "words": [ + { + "text": "MPCE", + "bbox_points": [ + 64.01, + 466.87, + 88.0, + 474.88 + ] + } + ] + }, + { + "text": "Poorest Ref. Ref. 15.11*** 12.47–18.30", + "bbox_points": [ + 72.01, + 480.59, + 566.07, + 488.89 + ], + "words": [ + { + "text": "Poorest", + "bbox_points": [ + 72.01, + 480.87, + 98.62, + 488.89 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 195.03, + 480.87, + 208.97, + 488.89 + ] + }, + { + "text": "Ref.", + "bbox_points": [ + 325.76, + 480.87, + 339.64, + 488.89 + ] + }, + { + "text": "15.11***", + "bbox_points": [ + 456.44, + 480.87, + 488.58, + 488.89 + ] + }, + { + "text": "12.47–18.30", + "bbox_points": [ + 522.82, + 480.59, + 566.07, + 488.89 + ] + } + ] + }, + { + "text": "Poorer 1.34*** 1.28–1.41 1.01 0.95–1.08 9.61*** 7.94–11.63", + "bbox_points": [ + 72.01, + 494.59, + 561.65, + 502.89 + ], + "words": [ + { + "text": "Poorer", + "bbox_points": [ + 72.01, + 494.87, + 96.06, + 502.89 + ] + }, + { + "text": "1.34***", + "bbox_points": [ + 195.03, + 494.87, + 222.76, + 502.89 + ] + }, + { + "text": "1.28–1.41", + "bbox_points": [ + 257.05, + 494.59, + 291.46, + 502.89 + ] + }, + { + "text": "1.01", + "bbox_points": [ + 325.76, + 494.87, + 341.01, + 502.89 + ] + }, + { + "text": "0.95–1.08", + "bbox_points": [ + 387.73, + 494.59, + 422.14, + 502.89 + ] + }, + { + "text": "9.61***", + "bbox_points": [ + 456.44, + 494.87, + 484.17, + 502.89 + ] + }, + { + "text": "7.94–11.63", + "bbox_points": [ + 522.83, + 494.59, + 561.65, + 502.89 + ] + } + ] + }, + { + "text": "Middle 1.71*** 1.63–1.81 1.06 0.99–1.13 5.70*** 4.71–6.90", + "bbox_points": [ + 72.01, + 508.6, + 557.23, + 516.89 + ], + "words": [ + { + "text": "Middle", + "bbox_points": [ + 72.01, + 508.88, + 97.56, + 516.89 + ] + }, + { + "text": "1.71***", + "bbox_points": [ + 195.03, + 508.88, + 222.76, + 516.89 + ] + }, + { + "text": "1.63–1.81", + "bbox_points": [ + 257.05, + 508.6, + 291.46, + 516.89 + ] + }, + { + "text": "1.06", + "bbox_points": [ + 325.76, + 508.88, + 341.01, + 516.89 + ] + }, + { + "text": "0.99–1.13", + "bbox_points": [ + 387.73, + 508.6, + 422.13, + 516.89 + ] + }, + { + "text": 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(b) Histogram of EC in all RGs with and without plants. (c) Histogram of BOD in all RGs with bare surfaces. (d) Histogram of TDS in all RGs with and without plants. (e) Histogram of COD in all RGs with and without plants. (f) Histogram of TN in all RGs with and without plants. (g) Histogram of TP in all RGs with bare surfaces. 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values of rainfall and temperature in Subarnarekha River basin in India/table_05.txt @@ -0,0 +1 @@ +Results of the Mann–Kendall test and estimated Sen’s slope for trends of the total number of rainy days and DTR at all stations diff --git "a/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_01.jpg" "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..f2dbde55f7de6b169a205dcebed5b580061fea5f --- /dev/null +++ "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ebec40d9b3cd2001313c76a5a44a45ecb9b14c1117db73d13339c4544923a1d8 +size 142080 diff --git 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simulation/figure_02.txt" @@ -0,0 +1 @@ +Time series of observed data (rainfall, temperature, and discharge) used for training and testing stages. diff --git "a/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_03.jpg" "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..c2e6899a875be5f8e32ffd9c1dc49bb3b71b1530 --- /dev/null +++ "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:17feb89d98098d20ffdf1820d261e011319b895aadf2773a6d55d4f3cad10cb4 +size 119090 diff --git "a/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_03.txt" "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..a9cadd33a4cc32a3da51e761657241c6c5c99591 --- /dev/null +++ "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_03.txt" @@ -0,0 +1 @@ +Flowchart of the modelling procedure. diff --git "a/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_04.jpg" "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..ceeea5b4bd30ed7c2e652ad6dcdea6bed578bc16 --- /dev/null +++ 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discharge. diff --git "a/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_05.jpg" "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..cd965575e576c79c8ae26573d319c2e4cb3f4e68 --- /dev/null +++ "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e194fc1efda8fdeed7c11f907628bd1db03ef31e1e98a85d019ad16139e4128b +size 68234 diff --git "a/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_05.txt" "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and 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performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_07.jpg" "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_07.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..daa701c1ff1706c92dc27a3f298937d158f739f8 --- /dev/null +++ "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_07.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3c9470fb3322b22c2b2874570e9ad3124b6d8d3fbfa2f01c782679e7f2bf09a6 +size 65000 diff --git "a/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff simulation/figure_07.txt" "b/Figures/Kumar et al. - 2024 - Comparison of the performance of SWAT and hybrid M5P tree models in rainfall\342\200\223runoff 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dst/Dp. diff --git a/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_06.jpg b/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..bb20d3af06c2be81ed92e4e6729f9156e815ef46 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b87f69678267ad82b8aebe0b9afb1f671aebfb51953bdc7ef93c12cafbcefaea +size 161764 diff --git a/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_06.txt b/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..b98f8e25374c592feb8fd515dadf51c41ae3dbfb --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_06.txt @@ -0,0 +1 @@ +Line graph of forecast versus measured dst/Dp with scatter plot by XGBR (Model 3), RFR (Model 3), and ETR (Model 3) for the testing stage. Model 3 is used in all the experiments. Model 3 efficacy is better than Models 1 and 2. diff --git a/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_07.jpg b/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8e3970330e2b14b1de710a7d57909a03fb06ea4c --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1e93f030b170afb2fef41c82ed0eb1773d1d35cfb93b68c2d85f14135bfd7e56 +size 182181 diff --git a/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_07.txt b/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..c96c4de7dc85aede54b3da515148bfa0e201f6c9 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_07.txt @@ -0,0 +1 @@ +Scatter plots of forecast versus measured values of dst/Dp by considering ML methods and empirical equations from literature. (a) XGBR, (b) RFR, (c) ETR, (d) GBR, (e) M5P, (f) WIHW-KStar, (g) BA-KStar, (h) ABR, (i) SVR, (j) RS-KStar, (k) GPR, (l) Oliveto & Hager (2002)’s equation, (m) Johnson (1992)’s equation, (n) Ettema et al. (2011)’s equation, and (o) Richardson & Davis (2001)’s equation at the testing stage. diff --git a/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_08.jpg b/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..572355085413f58aa21c307f87939c3f58d40f96 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e70b819ad4a9f059ede6153c371df4c32d9e6a49cf072fc1af5d9893bd93382a +size 60166 diff --git a/Figures/Kumar et al. - 2024 - Forecasting of time-dependent scour depth based on bagging and boosting machine learning approaches/figure_08.txt b/Figures/Kumar et al. - 2024 - 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161.41, + 550.42, + 169.42 + ] + } + ] + }, + { + "text": "4,783–8,685 Very high 1 11,458.39 18.58", + "bbox_points": [ + 205.29, + 171.61, + 550.42, + 179.91 + ], + "words": [ + { + "text": "4,783–8,685", + "bbox_points": [ + 205.29, + 171.61, + 248.53, + 179.91 + ] + }, + { + "text": "Very", + "bbox_points": [ + 297.01, + 171.89, + 313.96, + 179.91 + ] + }, + { + "text": "high", + "bbox_points": [ + 316.35, + 171.89, + 332.16, + 179.91 + ] + }, + { + "text": "1", + "bbox_points": [ + 393.85, + 171.89, + 398.26, + 179.91 + ] + }, + { + "text": "11,458.39", + "bbox_points": [ + 460.23, + 171.89, + 495.14, + 179.91 + ] + }, + { + "text": "18.58", + "bbox_points": [ + 530.76, + 171.89, + 550.42, + 179.91 + ] + } + ] + }, + { + "text": "Slope (degree) 1.503°–53.21° Very low 5 0.36 0.017", + "bbox_points": [ + 64.01, + 185.62, + 550.42, + 193.91 + ], + "words": [ + { + "text": "Slope", + "bbox_points": [ + 64.01, + 185.9, + 84.23, + 193.91 + ] + }, + { + "text": "(degree)", + "bbox_points": [ + 86.57, + 185.9, + 115.63, + 193.91 + ] + }, + { + "text": "1.503°–53.21°", + "bbox_points": [ + 205.29, + 185.62, + 254.0, + 193.91 + ] + }, + { + "text": "Very", + "bbox_points": [ + 297.01, + 185.9, + 313.96, + 193.91 + ] + }, + { + "text": "low", + "bbox_points": [ + 316.35, + 185.9, + 329.42, + 193.91 + ] + }, + { + "text": "5", + "bbox_points": [ + 393.85, + 185.9, + 398.26, + 193.91 + ] + }, + { + "text": "0.36", + "bbox_points": [ + 460.23, + 185.9, + 475.48, + 193.91 + ] + }, + { + "text": "0.017", + "bbox_points": [ + 530.76, + 185.9, + 550.42, + 193.91 + ] + } + ] + }, + { + "text": "53.22°–77.51° Low 4 2.601 0.125", + "bbox_points": [ + 205.29, + 196.11, + 550.42, + 204.4 + ], + "words": [ + { + "text": "53.22°–77.51°", + "bbox_points": [ + 205.29, + 196.11, + 254.0, + 204.4 + ] + }, + { + "text": "Low", + "bbox_points": [ + 297.01, + 196.39, + 313.04, + 204.4 + ] + }, + { + "text": "4", + "bbox_points": [ + 393.85, + 196.39, + 398.26, + 204.4 + ] + }, + { + "text": "2.601", + "bbox_points": [ + 460.23, + 196.39, + 479.9, + 204.4 + ] + }, + { + "text": "0.125", + "bbox_points": [ + 530.76, + 196.39, + 550.42, + 204.4 + ] + } + ] + }, + { + "text": "77.52°–85.83° Moderate 3 22.473 1.084", + "bbox_points": [ + 205.29, + 206.59, + 550.42, + 214.89 + ], + "words": [ + { + "text": "77.52°–85.83°", + "bbox_points": [ + 205.29, + 206.59, + 254.0, + 214.89 + ] + }, + { + "text": "Moderate", + "bbox_points": [ + 297.01, + 206.87, + 331.43, + 214.89 + ] + }, + { + "text": "3", + "bbox_points": [ + 393.85, + 206.87, + 398.26, + 214.89 + ] + }, + { + "text": "22.473", + "bbox_points": [ + 460.23, + 206.87, + 484.31, + 214.89 + ] + }, + { + "text": "1.084", + "bbox_points": [ + 530.76, + 206.87, + 550.42, + 214.89 + ] + } + ] + }, + { + "text": "85.84°–88.61° High 2 165.213 7.97", + "bbox_points": [ + 205.29, + 217.08, + 546.01, + 225.38 + ], + "words": [ + { + "text": "85.84°–88.61°", + "bbox_points": [ + 205.29, + 217.08, + 254.0, + 225.38 + ] + }, 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249.87 + ] + }, + { + "text": "13.57", + "bbox_points": [ + 530.76, + 241.85, + 550.42, + 249.87 + ] + } + ] + }, + { + "text": "701.75–1,073.5 Low 2 10.638 26.44", + "bbox_points": [ + 205.29, + 252.12, + 550.42, + 260.41 + ], + "words": [ + { + "text": "701.75–1,073.5", + "bbox_points": [ + 205.29, + 252.12, + 259.37, + 260.41 + ] + }, + { + "text": "Low", + "bbox_points": [ + 297.02, + 252.4, + 313.04, + 260.41 + ] + }, + { + "text": "2", + "bbox_points": [ + 393.85, + 252.4, + 398.26, + 260.41 + ] + }, + { + "text": "10.638", + "bbox_points": [ + 460.23, + 252.4, + 484.31, + 260.41 + ] + }, + { + "text": "26.44", + "bbox_points": [ + 530.76, + 252.4, + 550.42, + 260.41 + ] + } + ] + }, + { + "text": "1,073.6–1,480 Moderate 3 16.686 41.47", + "bbox_points": [ + 205.29, + 262.6, + 550.42, + 270.9 + ], + "words": [ + { + "text": "1,073.6–1,480", + "bbox_points": [ + 205.29, + 262.6, + 254.94, + 270.9 + ] + }, + { + "text": "Moderate", + "bbox_points": [ + 297.02, + 262.88, + 331.43, + 270.9 + ] + }, + { + "text": "3", + "bbox_points": [ + 393.85, + 262.88, + 398.26, + 270.9 + ] + }, + { + "text": "16.686", + "bbox_points": [ + 460.23, + 262.88, + 484.31, + 270.9 + ] + }, + { + "text": "41.47", + "bbox_points": [ + 530.76, + 262.88, + 550.42, + 270.9 + ] + } + ] + }, + { + "text": "1,480.1–2,107.3 High 4 6.237 15.49", + "bbox_points": [ + 205.29, + 273.09, + 550.42, + 281.39 + ], + "words": [ + { + "text": "1,480.1–2,107.3", + "bbox_points": [ + 205.29, + 273.09, + 261.36, + 281.39 + ] + }, + { + "text": "High", + "bbox_points": [ + 297.02, + 273.37, + 315.09, + 281.39 + ] + }, + { + "text": "4", + "bbox_points": [ + 393.85, + 273.37, + 398.26, + 281.39 + ] + }, + { + "text": "6.237", + "bbox_points": [ + 460.23, + 273.37, + 479.9, + 281.39 + ] + }, + { + "text": "15.49", + "bbox_points": [ + 530.76, + 273.37, + 550.42, + 281.39 + ] + } + ] + }, + { + "text": "2,107.4–3,187.6 Very high 5 1.206 2.99", + "bbox_points": [ + 205.29, + 283.58, + 546.01, + 291.88 + ], + "words": [ + { + "text": "2,107.4–3,187.6", + "bbox_points": [ + 205.29, + 283.58, + 261.36, + 291.88 + ] + }, + { + "text": "Very", + "bbox_points": [ + 297.02, + 283.86, + 313.96, + 291.88 + ] + }, + { + "text": "high", + "bbox_points": [ + 316.35, + 283.86, + 332.17, + 291.88 + ] + }, + { + "text": "5", + "bbox_points": [ + 393.85, + 283.86, + 398.26, + 291.88 + ] + }, + { + "text": "1.206", + "bbox_points": [ + 460.24, + 283.86, + 479.9, + 291.88 + ] + }, + { + "text": "2.99", + "bbox_points": [ + 530.76, + 283.86, + 546.01, + 291.88 + ] + } + ] + }, + { + "text": "DD (km/km2) 0.1666–69.701 Very low 1 23.58 11.28", + "bbox_points": [ + 64.01, + 296.39, + 550.42, + 305.88 + ], + "words": [ + { + "text": "DD", + "bbox_points": [ + 64.01, + 297.86, + 77.16, + 305.88 + ] + }, + { + "text": "(km/km2)", + "bbox_points": [ + 79.55, + 296.39, + 115.0, + 305.88 + ] + }, + { + "text": "0.1666–69.701", + "bbox_points": [ + 205.28, + 297.59, + 257.37, + 305.88 + ] + }, + { + "text": "Very", + "bbox_points": [ + 297.01, + 297.87, + 313.96, + 305.88 + ] + }, + { + "text": "low", + "bbox_points": [ + 316.35, + 297.87, + 329.42, + 305.88 + ] + }, + { + "text": "1", + "bbox_points": [ + 393.84, + 297.87, + 398.26, + 305.88 + ] + }, + { + "text": "23.58", + "bbox_points": [ + 460.23, + 297.87, + 479.9, + 305.88 + ] + }, + { + "text": "11.28", + "bbox_points": [ + 530.76, + 297.87, + 550.42, + 305.88 + ] + } + ] + }, + { + "text": "69.702–139.23 Low 2 70.218 33.62", + "bbox_points": [ + 205.29, + 308.08, + 550.42, + 316.37 + ], + "words": [ + { + "text": "69.702–139.23", + "bbox_points": [ + 205.29, + 308.08, + 257.37, + 316.37 + ] + }, + { + "text": "Low", + "bbox_points": [ + 297.01, + 308.36, + 313.04, + 316.37 + ] + }, + { + "text": "2", + "bbox_points": [ + 393.85, + 308.36, + 398.26, + 316.37 + ] + }, + { + "text": "70.218", + "bbox_points": [ + 460.23, + 308.36, + 484.31, + 316.37 + ] + }, + { + "text": "33.62", + "bbox_points": [ + 530.76, + 308.36, + 550.42, + 316.37 + ] 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"0.712–2.043", + "bbox_points": [ + 205.29, + 476.11, + 248.54, + 484.4 + ] + }, + { + "text": "Low", + "bbox_points": [ + 297.02, + 476.39, + 313.04, + 484.4 + ] + }, + { + "text": "4", + "bbox_points": [ + 393.85, + 476.39, + 398.27, + 484.4 + ] + }, + { + "text": "41.508", + "bbox_points": [ + 460.24, + 476.39, + 484.32, + 484.4 + ] + }, + { + "text": "7.28", + "bbox_points": [ + 530.76, + 476.39, + 546.01, + 484.4 + ] + } + ] + }, + { + "text": "2.043–3.436 Moderate 3 85.842 15.08", + "bbox_points": [ + 205.29, + 486.6, + 550.43, + 494.89 + ], + "words": [ + { + "text": "2.043–3.436", + "bbox_points": [ + 205.29, + 486.6, + 248.54, + 494.89 + ] + }, + { + "text": "Moderate", + "bbox_points": [ + 297.02, + 486.88, + 331.43, + 494.89 + ] + }, + { + "text": "3", + "bbox_points": [ + 393.85, + 486.88, + 398.27, + 494.89 + ] + }, + { + "text": "85.842", + "bbox_points": [ + 460.24, + 486.88, + 484.32, + 494.89 + ] + }, + { + "text": "15.08", + "bbox_points": [ + 530.76, + 486.88, + 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diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_01.jpg b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..27aad9598e0cddbb900a46923d7835b8ab2df202 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:66343da0cceaddcf8cf0513f30e7e74cd92f39cdd616c4d8bb13bdecacb7e8ff +size 100234 diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_01.txt b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..68c50318f188ff936707cf35509b0e73f5857b44 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_01.txt @@ -0,0 +1 @@ +Index map of the SRB showing flow lines and the DEM. diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_02.jpg b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..51983e2c756b0dd932f088c98e427c98894d96b2 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1df827d596f0033a48b060f9c1ee7775cdfbe30c95eab4938ce2912cc6adaf40 +size 118119 diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_02.txt b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9f0cdea81a1160f7a1a6467e49808561535469a --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_02.txt @@ -0,0 +1 @@ +Flow chart of research framework followed in the study. diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_03.jpg b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2c8706adda8d039e6c19297d2d833f6afd903a3a --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7eaf49cfc3ec8a8e055188025f25f4113e2a845061936ed901dfe3eede37180d +size 175623 diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_03.txt b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f25d375e59bb3e7dcd2cc8c7b102ce2b421b9a7 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_03.txt @@ -0,0 +1 @@ +Monthly simulated and observed streamflow for MSC (1991–2005) and validation period (2006–2013) at Muri, Jamshedpur, and Ghatshila. diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_04.jpg b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f35ddc39f9b704a946c255f534c57c8ced1c3375 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7feafb9460faf4adfb9ec20c4f63b1fad641d0244f7bdddf3e860a8f60cbb5db +size 132278 diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_04.txt b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..606b297d05d64667d97a5858f48fff1d44b32505 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_04.txt @@ -0,0 +1 @@ +Comparative analysis of seasonal and annual rainfall and temperature variation at Muri, Jamshedpur, and Ghatshila. diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_05.jpg b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a15c57928fc9e10b36f618928fdaaa709bcf4ee8 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:975678c9faa9092366e8556f537fc3f6a256d531c6705b337c29c2a136dddf4d +size 43907 diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_05.txt b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..43054e34e4da64d58fc2b24189e9cf67a67d7437 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_05.txt @@ -0,0 +1 @@ +Percentage annual change (in future: 2020–2050) in rainfall and temperature at Muri, Jamshedpur, and Ghatshila under RCP 4.5 and 8.5 scenarios compared to the base period (1987–2013). diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_06.jpg b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7962260b871bd152cfcae09dd76f7becdd82ca1b --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5965883f0f689b4aa6f84b528a2a3ab12a018cde7e3a1426375a1026a93f484a +size 41527 diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_06.txt b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..62390325e873252db24062f3ab73cb44c08fbe47 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_06.txt @@ -0,0 +1 @@ +Percentage areas of actual land use versus simulated land use in the year 2018. diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_07.jpg b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b78f9056ddf36c6886ec417a66ed4abd6710f188 --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:365fc84de457388b2b324197734fadba0718a270344c4b8f605522546cb05a08 +size 156388 diff --git a/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_07.txt b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..138ac9127cde140df685e936c2a7826e0c30fe8d --- /dev/null +++ b/Figures/Kumar et al. - 2024 - Response of climate change and land use land cover/figure_07.txt @@ -0,0 +1 @@ +Observed and projected (simulated) LU/LC of the SRB for different years. diff --git a/Figures/Kumar et 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area map (Source: created by author using ArcGIS). diff --git a/Figures/Kumari et al. - 2024 - Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin A CMI/figure_02.jpg b/Figures/Kumari et al. - 2024 - Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin A CMI/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4e1606f608a4fd2029b672318568e52754317984 --- /dev/null +++ b/Figures/Kumari et al. - 2024 - Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin A CMI/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0ad2a0f9078ffcc6f73446d5f11bde4d4100a45d06fed667c7726ce812af162c +size 168398 diff --git a/Figures/Kumari et al. - 2024 - Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin A CMI/figure_02.txt b/Figures/Kumari et al. - 2024 - Assessing climate change 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spatiotemporal distribution of summer monsoon rainfall of SSP370 scenario. diff --git a/Figures/Kumari et al. - 2024 - Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin A CMI/figure_04.jpg b/Figures/Kumari et al. - 2024 - Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin A CMI/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..79e870aa8792cf9aa063a10a80949d93ebe5ffd3 --- /dev/null +++ b/Figures/Kumari et al. - 2024 - Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin A CMI/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b2c1d684c16901efa4ff8a3b7b79673a670d799b1521fd4300a72fd6a5af77be +size 183652 diff --git a/Figures/Kumari et al. - 2024 - Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin A CMI/figure_04.txt b/Figures/Kumari et al. - 2024 - 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of projected maximum seasonal rainfall and temperature (a and d) and minimum seasonal rainfall and temperature (b and c) using different CMIP6 GCMs under SSP370 and SSP585 scenarios in the different time spans of near-, mid-, and far-future. diff --git a/Figures/Kumari et al. - 2024 - Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin A CMI/figure_06.jpg b/Figures/Kumari et al. - 2024 - Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin A CMI/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..622bd5f62e702dd1e125ff59ffed18eeb1e33bde --- /dev/null +++ b/Figures/Kumari et al. - 2024 - Assessing climate change impacts on irrigation water requirements in the Lower Mahanadi Basin A CMI/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c273031fb7b9a9a3e60f77432d3fd04d601768cfa93d59655ebe08ccb81bd707 +size 179912 diff --git a/Figures/Kumari 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"text": "2019", + "bbox_points": [ + 346.73, + 585.19, + 364.4, + 593.2 + ] + }, + { + "text": "1,973,000", + "bbox_points": [ + 424.4, + 585.19, + 459.2, + 593.2 + ] + }, + { + "text": "471,500", + "bbox_points": [ + 519.25, + 585.19, + 547.74, + 593.2 + ] + } + ] + }, + { + "text": "Total renewable groundwater ( 106 m3/year) 2019 457,400 64,000", + "bbox_points": [ + 64.01, + 597.66, + 543.33, + 607.21 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 599.19, + 82.47, + 607.21 + ] + }, + { + "text": "renewable", + "bbox_points": [ + 84.87, + 599.19, + 121.43, + 607.21 + ] + }, + { + "text": "groundwater", + "bbox_points": [ + 123.82, + 599.19, + 169.1, + 607.21 + ] + }, + { + "text": "(", + "bbox_points": [ + 171.44, + 599.19, + 174.18, + 607.21 + ] + }, + { + "text": "106", + "bbox_points": [ + 180.34, + 597.66, + 192.5, + 607.21 + ] + }, + { + "text": "m3/year)", + "bbox_points": [ + 194.46, + 597.66, + 226.21, + 607.21 + ] + }, + { + "text": "2019", + "bbox_points": [ + 346.73, + 599.19, + 364.4, + 607.21 + ] + }, + { + "text": "457,400", + "bbox_points": [ + 424.4, + 599.19, + 452.9, + 607.21 + ] + }, + { + "text": "64,000", + "bbox_points": [ + 519.25, + 599.19, + 543.33, + 607.21 + ] + } + ] + }, + { + "text": "Total freshwater withdrawal (TFWW) ( 106 m3/year) 2018 222,600 31,215", + "bbox_points": [ + 64.01, + 611.66, + 543.33, + 621.21 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 613.19, + 82.47, + 621.21 + ] + }, + { + "text": "freshwater", + "bbox_points": [ + 84.87, + 613.19, + 122.21, + 621.21 + ] + }, + { + "text": "withdrawal", + "bbox_points": [ + 124.61, + 613.19, + 164.78, + 621.21 + ] + }, + { + "text": "(TFWW)", + "bbox_points": [ + 167.13, + 613.19, + 199.02, + 621.21 + ] + }, + { + "text": "(", + "bbox_points": [ + 201.37, + 613.19, + 204.12, + 621.21 + ] + }, + { + "text": "106", + "bbox_points": [ + 210.27, + 611.66, + 222.37, + 621.21 + ] + }, + { + "text": "m3/year)", + "bbox_points": [ + 224.33, + 611.66, + 256.09, + 621.21 + ] + }, + { + "text": "2018", + "bbox_points": [ + 346.73, + 613.19, + 364.4, + 621.21 + ] + }, + { + "text": "222,600", + "bbox_points": [ + 424.4, + 613.19, + 452.9, + 621.21 + ] + }, + { + "text": "31,215", + "bbox_points": [ + 519.25, + 613.19, + 543.33, + 621.21 + ] + } + ] + }, + { + "text": "Total dam capacity ( 106 m3) 2018 23,020 13,570", + "bbox_points": [ + 64.01, + 625.67, + 543.33, + 635.21 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 627.2, + 82.47, + 635.21 + ] + }, + { + "text": "dam", + "bbox_points": [ + 84.87, + 627.2, + 100.61, + 635.21 + ] + }, + { + "text": "capacity", + "bbox_points": [ + 102.96, + 627.2, + 132.53, + 635.21 + ] + }, + { + "text": "(", + "bbox_points": [ + 134.93, + 627.2, + 137.67, + 635.21 + ] + }, + { + "text": "106", + "bbox_points": [ + 143.83, + 625.67, + 155.93, + 635.21 + ] + }, + { + "text": "m3)", + "bbox_points": [ + 157.89, + 625.67, + 170.95, + 635.21 + ] + }, + { + "text": "2018", + "bbox_points": [ + 346.73, + 627.2, + 364.4, + 635.21 + ] + }, + { + "text": "23,020", + "bbox_points": [ + 424.4, + 627.2, + 448.48, + 635.21 + ] + }, + { + "text": "13,570", + "bbox_points": [ + 519.25, + 627.2, + 543.33, + 635.21 + ] + } + ] + }, + { + "text": "Dependency ratio (%) 2018 0 14.13", + "bbox_points": [ + 64.01, + 641.2, + 538.91, + 649.22 + ], + "words": [ + { + "text": "Dependency", + "bbox_points": [ + 64.01, + 641.2, + 109.12, + 649.22 + ] + }, + { + "text": "ratio", + "bbox_points": [ + 111.51, + 641.2, + 127.97, + 649.22 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 130.34, + 641.2, + 142.82, + 649.22 + ] + }, + { + "text": "2018", + "bbox_points": [ + 346.73, + 641.2, + 364.4, + 649.22 + ] + }, + { + "text": "0", + "bbox_points": [ + 424.4, + 641.2, + 428.82, + 649.22 + ] + }, + { + "text": "14.13", + "bbox_points": [ + 519.25, + 641.2, + 538.91, + 649.22 + ] + } + ] + }, + { + "text": "Inter-annual variability 2016 1.1 0.9", + "bbox_points": [ + 64.01, + 655.2, + 530.08, + 663.22 + ], + "words": [ + { + "text": "Inter-annual", + "bbox_points": [ + 64.01, + 655.2, + 108.35, + 663.22 + ] + }, + { + "text": "variability", + "bbox_points": [ + 110.78, + 655.2, + 146.64, + 663.22 + ] + }, + { + "text": "2016", + "bbox_points": [ + 346.73, + 655.2, + 364.4, + 663.22 + ] + }, + { + "text": "1.1", + "bbox_points": [ + 424.4, + 655.2, + 435.23, + 663.22 + ] + }, + { + "text": "0.9", + "bbox_points": [ + 519.25, + 655.2, + 530.08, + 663.22 + ] + } + ] + }, + { + "text": "Seasonal variability 2016 1.9 2.6", + "bbox_points": [ + 64.01, + 669.15, + 530.08, + 677.16 + ], + "words": [ + { + "text": "Seasonal", + "bbox_points": [ + 64.01, + 669.15, + 96.05, + 677.16 + ] + }, + { + "text": "variability", + "bbox_points": [ + 98.36, + 669.15, + 134.31, + 677.16 + ] + }, + { + "text": "2016", + "bbox_points": [ + 346.73, + 669.15, + 364.4, + 677.16 + ] + }, + { + "text": "1.9", + "bbox_points": [ + 424.4, + 669.15, + 435.23, + 677.16 + ] + }, + { + "text": "2.6", + "bbox_points": [ + 519.25, + 669.15, + 530.08, + 677.16 + ] + } + ] + }, + { + "text": "Environmental flow requirements ( 106 m3/year) 1,269,000 227,500", + "bbox_points": [ + 64.01, + 681.68, + 547.75, + 691.17 + ], + "words": [ + { + "text": "Environmental", + "bbox_points": [ + 64.01, + 683.15, + 117.81, + 691.17 + ] + }, + { + "text": "flow", + "bbox_points": [ + 120.13, + 682.87, + 135.59, + 691.17 + ] + }, + { + "text": "requirements", + "bbox_points": [ + 137.99, + 683.15, + 184.9, + 691.17 + ] + }, + { + "text": "(", + "bbox_points": [ + 187.26, + 683.15, + 190.0, + 691.17 + ] + }, + { + "text": "106", + "bbox_points": [ + 196.16, + 681.68, + 208.26, + 691.17 + ] + }, + { + "text": "m3/year)", + "bbox_points": [ + 210.27, + 681.68, + 241.97, + 691.17 + ] + }, + { + "text": "1,269,000", + "bbox_points": [ + 424.4, + 683.15, + 459.2, + 691.17 + ] + }, + { + "text": "227,500", + "bbox_points": [ + 519.25, + 683.15, + 547.75, + 691.17 + ] + } 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105.72 + ] + }, + { + "text": "Recommendations", + "bbox_points": [ + 218.66, + 99.72, + 276.46, + 105.72 + ] + }, + { + "text": "to", + "bbox_points": [ + 278.36, + 99.72, + 284.85, + 105.72 + ] + }, + { + "text": "address", + "bbox_points": [ + 286.86, + 99.72, + 311.48, + 105.72 + ] + }, + { + "text": "the", + "bbox_points": [ + 313.34, + 99.72, + 323.71, + 105.72 + ] + }, + { + "text": "issues", + "bbox_points": [ + 325.7, + 99.72, + 345.13, + 105.72 + ] + } + ] + }, + { + "text": "64% urban households having septic tanks, 1. Advocate on effective septage management.", + "bbox_points": [ + 43.43, + 114.86, + 384.68, + 122.88 + ], + "words": [ + { + "text": "64%", + "bbox_points": [ + 43.43, + 114.86, + 59.26, + 122.88 + ] + }, + { + "text": "urban", + "bbox_points": [ + 61.62, + 114.86, + 82.68, + 122.88 + ] + }, + { + "text": "households", + "bbox_points": [ + 85.04, + 114.86, + 125.81, + 122.88 + ] + }, + { + "text": "having", + "bbox_points": [ + 128.13, + 114.86, + 152.09, + 122.88 + ] + }, + { + "text": "septic", + "bbox_points": [ + 154.49, + 114.86, + 175.3, + 122.88 + ] + }, + { + "text": "tanks,", + "bbox_points": [ + 177.62, + 114.86, + 199.0, + 122.88 + ] + }, + { + "text": "1.", + "bbox_points": [ + 218.66, + 114.86, + 225.08, + 122.88 + ] + }, + { + "text": "Advocate", + "bbox_points": [ + 227.45, + 114.86, + 261.13, + 122.88 + ] + }, + { + "text": "on", + "bbox_points": [ + 263.51, + 114.86, + 272.83, + 122.88 + ] + }, + { + "text": "effective", + "bbox_points": [ + 275.19, + 114.86, + 305.04, + 122.88 + ] + }, + { + "text": "septage", + "bbox_points": [ + 307.44, + 114.86, + 334.08, + 122.88 + ] + }, + { + "text": "management.", + "bbox_points": [ + 336.41, + 114.86, + 384.68, + 122.88 + ] + } + ] + }, + { + "text": "4% septage treated. 2. Prepare/implement septage management plans.", + "bbox_points": [ + 51.48, + 125.41, + 398.31, + 133.42 + ], + "words": [ + { + "text": "4%", + "bbox_points": [ + 51.48, + 125.41, + 62.89, + 133.42 + ] + }, + { + "text": "septage", + "bbox_points": [ + 65.25, + 125.41, + 91.89, + 133.42 + ] + }, + { + "text": "treated.", + "bbox_points": [ + 94.22, + 125.41, + 120.93, + 133.42 + ] + }, + { + "text": "2.", + "bbox_points": [ + 218.66, + 125.41, + 225.08, + 133.42 + ] + }, + { + "text": "Prepare/implement", + "bbox_points": [ + 227.45, + 125.41, + 297.16, + 133.42 + ] + }, + { + "text": "septage", + "bbox_points": [ + 299.56, + 125.41, + 326.2, + 133.42 + ] + }, + { + "text": "management", + "bbox_points": [ + 328.53, + 125.41, + 374.8, + 133.42 + ] + }, + { + "text": "plans.", + "bbox_points": [ + 377.18, + 125.41, + 398.31, + 133.42 + ] + } + ] + }, + { + "text": "90% urban households expected to include 3. Prepare ordinances on septic tank desludging, retrofitting, and disposal.", + "bbox_points": [ + 51.48, + 135.61, + 485.03, + 143.91 + ], + "words": [ + { + "text": "90%", + "bbox_points": [ + 51.48, + 135.9, + 67.31, + 143.91 + ] + }, + { + "text": "urban", + "bbox_points": [ + 69.62, + 135.9, + 90.67, + 143.91 + ] + }, + { + "text": "households", + "bbox_points": [ + 93.03, + 135.9, + 133.81, + 143.91 + ] + }, + { + "text": "expected", + "bbox_points": [ + 136.18, + 135.9, + 167.86, + 143.91 + ] + }, + { + "text": "to", + "bbox_points": [ + 170.19, + 135.9, + 177.34, + 143.91 + ] + }, + { + "text": "include", + "bbox_points": [ + 179.77, + 135.9, + 206.32, + 143.91 + ] + }, + { + "text": "3.", + "bbox_points": [ + 218.66, + 135.89, + 225.08, + 143.91 + ] + }, + { + "text": "Prepare", + "bbox_points": [ + 227.45, + 135.89, + 255.15, + 143.91 + ] + }, + { + "text": "ordinances", + "bbox_points": [ + 257.5, + 135.89, + 297.11, + 143.91 + ] + }, + { + "text": "on", + "bbox_points": [ + 299.45, + 135.89, + 308.77, + 143.91 + ] + }, + { + "text": "septic", + "bbox_points": [ + 311.19, + 135.89, + 331.99, + 143.91 + ] + }, + { + "text": "tank", + "bbox_points": [ + 334.32, + 135.89, + 350.37, + 143.91 + ] + }, + { + "text": "desludging,", + "bbox_points": [ + 352.74, + 135.89, + 393.12, + 143.91 + ] + }, + { + "text": "retrofitting,", + "bbox_points": [ + 395.55, + 135.61, + 435.6, + 143.91 + ] + }, + { + "text": "and", + "bbox_points": [ + 437.95, + 135.89, + 451.43, + 143.91 + ] + }, + { + "text": "disposal.", + "bbox_points": [ + 453.83, + 135.89, + 485.03, + 143.91 + ] + } + ] + }, + { + "text": "on-site sanitation. 4. Introduce environmental fee to cover desludging/septage treatment.", + "bbox_points": [ + 51.48, + 146.38, + 471.34, + 154.4 + ], + "words": [ + { + "text": "on-site", + "bbox_points": [ + 51.48, + 146.38, + 75.11, + 154.4 + ] + }, + { + "text": "sanitation.", + "bbox_points": [ + 77.44, + 146.38, + 114.76, + 154.4 + ] + }, + { + "text": "4.", + "bbox_points": [ + 218.66, + 146.38, + 225.08, + 154.4 + ] + }, + { + "text": "Introduce", + "bbox_points": [ + 227.45, + 146.38, + 262.62, + 154.4 + ] + }, + { + "text": "environmental", + "bbox_points": [ + 264.98, + 146.38, + 317.31, + 154.4 + ] + }, + { + "text": "fee", + "bbox_points": [ + 319.63, + 146.38, + 330.13, + 154.4 + ] + }, + { + "text": "to", + "bbox_points": [ + 332.5, + 146.38, + 339.65, + 154.4 + ] + }, + { + "text": "cover", + "bbox_points": [ + 342.03, + 146.38, + 361.6, + 154.4 + ] + }, + { + "text": "desludging/septage", + "bbox_points": [ + 363.97, + 146.38, + 432.56, + 154.4 + ] + }, + { + "text": "treatment.", + "bbox_points": [ + 434.89, + 146.38, + 471.34, + 154.4 + ] + } + ] + }, + { + "text": "5. 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and after (В) water discharge from the Rivne NPP for 2018–2022. diff --git a/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_06.jpg b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5467600eb3c5e1ad3c9c42835309bba4c0c64e9c --- /dev/null +++ b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7f426085dcfcbe933a4ddcb4990a475d66e3740e0c3d96eb2e4d95cd0a477e11 +size 52248 diff --git a/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in 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concentrations in the/figure_07.txt @@ -0,0 +1 @@ +PCA рlot data of BOD5, COD, and TOC contents of the group in the water of the Styr River before (А) and after (В-) water discharge from the Rivne NPP for 2018–2022. diff --git a/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_08.jpg b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..14214f6586a2998092db0a6082d47c0ea24d282a --- /dev/null +++ b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ba892e25cd8e11b185c6b55d93db00d8e92050d9ad0f256d38bce113b9e39f78 +size 61561 diff --git 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Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..daf30359345fb896179210ebe6829326695a755b --- /dev/null +++ b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:640ea4877102604b955dad62d07d80ed76c77b786edd645391812fd89012f8d9 +size 77745 diff --git a/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_09.txt b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e4f2b527dd1b77c7b3e1bc6aea5cb71d3d61831 --- /dev/null +++ b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_09.txt @@ -0,0 +1 @@ +The relationship correlations of BOD5, COD, and TOC content in the water of the Styr River before (A) and after (B) water discharge from the Rivne NPP for 2018–2022: (a) COD, (b) BOD5, and (c) TOC. diff --git a/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_10.jpg b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d84ba26107b25d6be0cfc37e26a2dc5967fdf6ee --- /dev/null +++ b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:25fa2405c976e4aed66f23f8d4358d7ba0ea35d2f1a96da0929fe306caeca847 +size 183139 diff --git a/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_10.txt b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb3a3a896f014bfdd7df0a215aec579d09e66c27 --- /dev/null +++ b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_10.txt @@ -0,0 +1 @@ +Matrix plot for indicators (temperature (Т) in °C, COD in mgO/dm3, BOD5 in mgO2/dm3, and TOC in mgC/dm3) in water of the Styr River before (А) and after (В-) water discharge from the Rivne NPP for 2018–2022. diff --git a/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_11.jpg b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_11.jpg new file mode 100644 index 0000000000000000000000000000000000000000..bcd6e5c56d05f1421f23e5b31bf72adec01f7fb2 --- /dev/null +++ b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_11.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b4583d299a074b65a6aa3652194384272dffafdbb9605341df7f580fe5723fda +size 57284 diff --git a/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_11.txt b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_11.txt new file mode 100644 index 0000000000000000000000000000000000000000..029654b88f4f3eaaa73109451303406dc933c004 --- /dev/null +++ b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_11.txt @@ -0,0 +1 @@ +Correlation coefficient r-Pearson for indicators (temperature (Т) in °C, COD in mgO/dm3, BOD5 in mgO2/dm3, and TOC in mgC/dm3) in water of the Styr River before (А) and after (В-) water discharge from the Rivne NPP for 2018–2022. diff --git a/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_12.jpg b/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/figure_12.jpg new file mode 100644 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"figure", + "label": "figure_10", + "page": 11, + "caption": "Matrix plot for indicators (temperature (Т) in °C, COD in mgO/dm3, BOD5 in mgO2/dm3, and TOC in mgC/dm3) in water of the Styr River before (А\u0001) and after (В-) water discharge from the Rivne NPP for 2018–2022.", + "image": "figure_10.jpg", + "caption_file": "figure_10.txt", + "figure_bbox_points": [ + 72.29, + 77.28, + 523.14, + 361.07 + ], + "caption_bbox_points": [ + 70.87, + 361.01, + 521.83, + 380.85 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 183139, + "jpeg_quality": 75, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_11", + "page": 11, + "caption": "Correlation coefficient r-Pearson for indicators (temperature (Т) in °C, COD in mgO/dm3, BOD5 in mgO2/dm3, and TOC in mgC/dm3) in water of the Styr River before (А\u0001) and after (В-) water discharge from the Rivne NPP for 2018–2022.", + "image": "figure_11.jpg", + "caption_file": "figure_11.txt", + "figure_bbox_points": [ + 84.65, + 476.68, + 510.62, + 739.95 + ], + "caption_bbox_points": [ + 70.87, + 739.89, + 524.43, + 759.73 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 57284, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_03", + "page": 12, + "caption": "Summary statistics of correlations of BOD5, COD, and TOC concentrations and temperature (t, °C) in the water of the", + "image": "table_03.jpg", + "caption_file": "table_03.txt", + "figure_bbox_points": [ + 67.87, + 85.1, + 527.41, + 202.44 + ], + "caption_bbox_points": [ + 70.87, + 76.93, + 524.41, + 85.1 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 59605, + "jpeg_quality": 88, + "data_file": "table_03.json", + "structure_extracted": false, + "row_count": 8, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_12", + "page": 13, + "caption": "Changes in the BOD5:COD, BOD5:TOC ratio (a) and correlation relationships between the ratio of BOD5:COD (b), BOD5:TOC (c) indicates in water the Styr River before (А\u0001 and after (В-) water discharge from the Rivne NPP for 2018–2022.", + "image": "figure_12.jpg", + "caption_file": "figure_12.txt", + "figure_bbox_points": [ + 117.65, + 77.28, + 477.85, + 673.39 + ], + "caption_bbox_points": [ + 70.87, + 674.87, + 522.18, + 693.23 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 86152, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of file diff --git a/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, 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+ 112.07, + 132.86 + ] + }, + { + "text": "mgО/dm3)", + "bbox_points": [ + 114.07, + 123.31, + 151.9, + 132.86 + ] + }, + { + "text": "TOC", + "bbox_points": [ + 188.84, + 124.84, + 206.15, + 132.86 + ] + }, + { + "text": "(0–20", + "bbox_points": [ + 208.52, + 124.56, + 228.52, + 132.86 + ] + }, + { + "text": "mgС/dm3)", + "bbox_points": [ + 230.46, + 123.31, + 267.95, + 132.86 + ] + }, + { + "text": "70.10", + "bbox_points": [ + 306.88, + 124.84, + 326.54, + 132.86 + ] + }, + { + "text": "0.0003", + "bbox_points": [ + 360.11, + 124.84, + 384.19, + 132.86 + ] + }, + { + "text": "Y", + "bbox_points": [ + 417.77, + 124.74, + 423.35, + 132.74 + ] + }, + { + "text": "¼", + "bbox_points": [ + 424.91, + 124.56, + 431.07, + 132.56 + ] + }, + { + "text": "14.53", + "bbox_points": [ + 432.62, + 124.84, + 452.29, + 132.86 + ] + }, + { + "text": "þ", + "bbox_points": [ + 453.83, + 124.56, + 459.99, + 132.56 + ] + }, + { + "text": "0.12*X", + "bbox_points": [ + 461.54, + 124.74, + 487.03, + 132.86 + ] + }, + { + "text": "þ", + "bbox_points": [ + 488.58, + 124.56, + 494.74, + 132.56 + ] + }, + { + "text": "2.438*t", + "bbox_points": [ + 496.35, + 124.74, + 522.68, + 132.86 + ] + } + ] + }, + { + "text": "BOD5 (0–6 mgО/dm3) 79.18 0.0004 Y ¼ 6.82 þ 9.31*X þ 1.243*t", + "bbox_points": [ + 188.84, + 133.85, + 518.25, + 143.35 + ], + "words": [ + { + "text": "BOD5", + "bbox_points": [ + 188.84, + 135.33, + 212.16, + 143.34 + ] + }, + { + "text": "(0–6", + "bbox_points": [ + 214.53, + 135.05, + 230.05, + 143.34 + ] + }, + { + "text": "mgО/dm3)", + "bbox_points": [ + 232.05, + 133.85, + 269.94, + 143.35 + ] + }, + { + "text": "79.18", + "bbox_points": [ + 306.88, + 135.33, + 326.54, + 143.35 + ] + }, + { + "text": "0.0004", + "bbox_points": [ + 360.11, + 135.33, + 384.19, + 143.35 + ] + }, + { + "text": "Y", + "bbox_points": [ + 417.77, + 135.23, + 423.35, + 143.23 + ] + }, + { + "text": "¼", + "bbox_points": [ + 424.91, + 135.05, + 431.07, + 143.05 + ] + }, + { + "text": "6.82", + "bbox_points": [ + 432.62, + 135.33, + 447.87, + 143.35 + ] + }, + { + "text": "þ", + "bbox_points": [ + 449.4, + 135.05, + 455.56, + 143.05 + ] + }, + { + "text": "9.31*X", + "bbox_points": [ + 457.11, + 135.23, + 482.66, + 143.35 + ] + }, + { + "text": "þ", + "bbox_points": [ + 484.21, + 135.05, + 490.37, + 143.05 + ] + }, + { + "text": "1.243*t", + "bbox_points": [ + 491.92, + 135.23, + 518.25, + 143.35 + ] + } + ] + }, + { + "text": "TOC (0–20 mgС/dm3) BOD5 (0–6 mgО2/dm3) 72.27 0.0002 Y ¼ 6.82 þ 4.31*X þ 1.251*t", + "bbox_points": [ + 70.87, + 147.8, + 518.25, + 158.08 + ], + "words": [ + { + "text": "TOC", + "bbox_points": [ + 70.87, + 149.33, + 88.17, + 157.35 + ] + }, + { + "text": "(0–20", + "bbox_points": [ + 90.54, + 149.05, + 110.48, + 157.35 + ] + }, + { + "text": "mgС/dm3)", + "bbox_points": [ + 112.48, + 147.8, + 149.92, + 157.35 + ] + }, + { + "text": "BOD5", + "bbox_points": [ + 188.84, + 149.33, + 212.16, + 157.35 + ] + }, + { + "text": "(0–6", + "bbox_points": [ + 214.53, + 149.05, + 230.05, + 157.35 + ] + }, + { + "text": "mgО2/dm3)", + "bbox_points": [ + 232.04, + 147.8, + 273.23, + 158.08 + ] + }, + { + "text": "72.27", + "bbox_points": [ + 306.88, + 149.33, + 326.54, + 157.35 + ] + }, + { + "text": "0.0002", + "bbox_points": [ + 360.11, + 149.33, + 384.19, + 157.35 + ] + }, + { + "text": "Y", + "bbox_points": [ + 417.77, + 149.23, + 423.35, + 157.23 + ] + }, + { + "text": "¼", + "bbox_points": [ + 424.91, + 149.05, + 431.07, + 157.05 + ] + }, + { + "text": "6.82", + "bbox_points": [ + 432.62, + 149.33, + 447.87, + 157.35 + ] + }, + { + "text": "þ", + "bbox_points": [ + 449.4, + 149.05, + 455.56, + 157.05 + ] + }, + { + "text": "4.31*X", + "bbox_points": [ + 457.11, + 149.23, + 482.66, + 157.35 + ] + }, + { + "text": "þ", + "bbox_points": [ + 484.21, + 149.05, + 490.37, + 157.05 + ] + }, + { + "text": "1.251*t", + "bbox_points": [ + 491.92, + 149.23, + 518.25, + 157.35 + ] + } + ] + }, + { + "text": "COD (0–80 mgО/dm3) 82.23 0.0002 Y ¼ 6.45 þ 0.64*X þ 0.184*t", + "bbox_points": [ + 188.85, + 158.35, + 518.25, + 167.84 + ], + "words": [ + { + "text": "COD", + "bbox_points": [ + 188.85, + 159.82, + 207.78, + 167.84 + ] + }, + { + "text": "(0–80", + "bbox_points": [ + 210.1, + 159.54, + 230.11, + 167.84 + ] + }, + { + "text": "mgО/dm3)", + "bbox_points": [ + 232.05, + 158.35, + 269.94, + 167.84 + ] + }, + { + "text": "82.23", + "bbox_points": [ + 306.88, + 159.82, + 326.54, + 167.84 + ] + }, + { + "text": "0.0002", + "bbox_points": [ + 360.11, + 159.82, + 384.19, + 167.84 + ] + }, + { + "text": "Y", + "bbox_points": [ + 417.77, + 159.72, + 423.35, + 167.72 + ] + }, + { + "text": "¼", + "bbox_points": [ + 424.91, + 159.54, + 431.07, + 167.54 + ] + }, + { + "text": "6.45", + "bbox_points": [ + 432.62, + 159.82, + 447.87, + 167.84 + ] + }, + { + "text": "þ", + "bbox_points": [ + 449.4, + 159.54, + 455.56, + 167.54 + ] + }, + { + "text": "0.64*X", + "bbox_points": [ + 457.11, + 159.72, + 482.66, + 167.84 + ] + }, + { + "text": "þ", + "bbox_points": [ + 484.21, + 159.54, + 490.37, + 167.54 + ] + }, + { + "text": "0.184*t", + "bbox_points": [ + 491.92, + 159.72, + 518.25, + 167.84 + ] + } + ] + }, + { + "text": "BOD5 (0–6 mgО2/dm3) COD (0–80 mgО/dm3) 71.30 0.0005 Y ¼ 9.71–0.367*X þ 0.152*t", + "bbox_points": [ + 70.87, + 172.35, + 517.35, + 182.57 + ], + "words": [ + { + "text": "BOD5", + "bbox_points": [ + 70.87, + 173.82, + 94.18, + 181.84 + ] + }, + { + "text": "(0–6", + "bbox_points": [ + 96.55, + 173.54, + 112.08, + 181.84 + ] + }, + { + "text": "mgО2/dm3)", + "bbox_points": [ + 114.07, + 172.35, + 155.25, + 182.57 + ] + }, + { + "text": "COD", + "bbox_points": [ + 188.84, + 173.82, + 207.78, + 181.84 + ] + }, + { + "text": "(0–80", + "bbox_points": [ + 210.1, + 173.54, + 230.1, + 181.84 + ] + }, + { + "text": "mgО/dm3)", + "bbox_points": [ + 232.04, + 172.35, + 269.94, + 181.84 + ] + }, + { + "text": "71.30", + "bbox_points": [ + 306.88, + 173.82, + 326.54, + 181.84 + ] + }, + { + "text": "0.0005", + "bbox_points": [ + 360.11, + 173.82, + 384.19, + 181.84 + ] + }, + { + "text": "Y", + "bbox_points": [ + 417.77, + 173.72, + 423.35, + 181.72 + ] + }, + { + "text": "¼", + "bbox_points": [ + 424.91, + 173.54, + 431.07, + 181.54 + ] + }, + { + "text": "9.71–0.367*X", + "bbox_points": [ + 432.62, + 173.54, + 481.7, + 181.84 + ] + }, + { + "text": "þ", + "bbox_points": [ + 483.31, + 173.54, + 489.47, + 181.54 + ] + }, + { + "text": "0.152*t", + "bbox_points": [ + 491.02, + 173.72, + 517.35, + 181.84 + ] + } + ] + }, + { + "text": "TOC (0–20 mgС/dm3) 85.40 0.0009 Y ¼ 5.37 þ 0.86*X þ 0.135*t", + "bbox_points": [ + 188.84, + 182.84, + 524.43, + 192.38 + ], + "words": [ + { + "text": "TOC", + "bbox_points": [ + 188.84, + 184.37, + 206.15, + 192.38 + ] + }, + { + "text": "(0–20", + "bbox_points": [ + 208.52, + 184.09, + 228.52, + 192.38 + ] + }, + { + "text": "mgС/dm3)", + "bbox_points": [ + 230.46, + 182.84, + 267.95, + 192.38 + ] + }, + { + "text": "85.40", + "bbox_points": [ + 306.88, + 184.37, + 326.54, + 192.38 + ] + }, + { + "text": "0.0009", + "bbox_points": [ + 360.11, + 184.37, + 384.19, + 192.38 + ] + }, + { + "text": "Y", + "bbox_points": [ + 417.77, + 184.27, + 423.35, + 192.27 + ] + }, + { + "text": "¼", + "bbox_points": [ + 424.91, + 184.09, + 431.07, + 192.09 + ] + }, + { + "text": "5.37", + "bbox_points": [ + 438.74, + 184.37, + 453.99, + 192.38 + ] + }, + { + "text": "þ", + "bbox_points": [ + 455.53, + 184.09, + 461.69, + 192.09 + ] + }, + { + "text": "0.86*X", + "bbox_points": [ + 463.29, + 184.27, + 488.79, + 192.38 + ] + }, + { + "text": "þ", + "bbox_points": [ + 490.34, + 184.09, + 496.5, + 192.09 + ] + }, + { + "text": "0.135*t", + "bbox_points": [ + 498.05, + 184.27, + 524.43, + 192.38 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Kuznietsov and Biedunkova - 2024 - Multivariate regression studies for the investigation of the COD, BOD, and TOC concentrations in the/table_03.txt b/Figures/Kuznietsov and Biedunkova - 2024 - 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and filtered water depends on the degree of filter wear. diff --git "a/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/figure_02.jpg" "b/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..6bec62500e4ead43ceb8cb83a3c03328728b8580 --- /dev/null +++ "b/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f4b3f167afc0d581bcd22f6bfc83eac002c070cf53bf3c5e9a17e5ba64ff6c95 +size 72829 diff --git "a/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a 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concentration in tap water \342\200\223 a case st/figure_03.txt" @@ -0,0 +1 @@ +Sodium concentration in tap and filtered water depends on the degree of filter wear. diff --git "a/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/figure_04.jpg" "b/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..89604020f6ad222bb8e08749eee9a8418f733225 --- /dev/null +++ "b/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:04bde2b3972de3179284c0add24e3694915e539accbab69f55e963ab53b8c331 +size 66660 diff --git "a/Figures/Kwiatkowski et al. - 2024 - 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"water", + "bbox_points": [ + 391.86, + 456.61, + 410.21, + 462.61 + ] + } + ] + }, + { + "text": "Concentration range (mg/L) Concentration range (mg/L)", + "bbox_points": [ + 108.79, + 471.57, + 430.33, + 477.57 + ], + "words": [ + { + "text": "Concentration", + "bbox_points": [ + 108.79, + 471.57, + 153.07, + 477.57 + ] + }, + { + "text": "range", + "bbox_points": [ + 155.11, + 471.57, + 172.85, + 477.57 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 174.78, + 471.57, + 194.14, + 477.57 + ] + }, + { + "text": "Concentration", + "bbox_points": [ + 345.03, + 471.57, + 389.28, + 477.57 + ] + }, + { + "text": "range", + "bbox_points": [ + 391.29, + 471.57, + 409.03, + 477.57 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 410.96, + 471.57, + 430.33, + 477.57 + ] + } + ] + }, + { + "text": "Element Min. Max. Average %RDI Min. Max. Average %RDI", + "bbox_points": [ + 43.43, + 486.6, + 532.84, + 493.25 + ], + "words": [ + { + "text": "Element", + "bbox_points": [ + 43.43, + 486.6, + 69.04, + 492.6 + ] + }, + { + "text": "Min.", + "bbox_points": [ + 108.79, + 486.6, + 122.41, + 492.6 + ] + }, + { + "text": "Max.", + "bbox_points": [ + 163.78, + 486.6, + 178.91, + 492.6 + ] + }, + { + "text": "Average", + "bbox_points": [ + 218.66, + 486.6, + 243.9, + 492.6 + ] + }, + { + "text": "%RDI", + "bbox_points": [ + 283.63, + 486.6, + 296.66, + 493.25 + ] + }, + { + "text": "Min.", + "bbox_points": [ + 345.03, + 486.6, + 358.65, + 492.6 + ] + }, + { + "text": "Max.", + "bbox_points": [ + 399.97, + 486.6, + 415.09, + 492.6 + ] + }, + { + "text": "Average", + "bbox_points": [ + 454.84, + 486.6, + 480.08, + 492.6 + ] + }, + { + "text": "%RDI", + "bbox_points": [ + 519.87, + 486.6, + 532.84, + 493.25 + ] + } + ] + }, + { + "text": "Na 6.0 163 52 5.2 2.1 13 5.7 0.57", + "bbox_points": [ + 43.43, + 501.74, + 535.12, + 509.75 + ], + "words": [ + { + "text": "Na", + "bbox_points": [ + 43.43, + 501.74, + 54.33, + 509.75 + ] + }, + { + "text": "6.0", + "bbox_points": [ + 108.79, + 501.74, + 119.63, + 509.75 + ] + }, + { + "text": "163", + "bbox_points": [ + 163.79, + 501.74, + 177.03, + 509.75 + ] + }, + { + "text": "52", + "bbox_points": [ + 218.66, + 501.74, + 227.5, + 509.75 + ] + }, + { + "text": "5.2", + "bbox_points": [ + 283.63, + 501.74, + 294.47, + 509.75 + ] + }, + { + "text": "2.1", + "bbox_points": [ + 345.03, + 501.74, + 355.86, + 509.75 + ] + }, + { + "text": "13", + "bbox_points": [ + 399.97, + 501.74, + 408.8, + 509.75 + ] + }, + { + "text": "5.7", + "bbox_points": [ + 454.85, + 501.74, + 465.68, + 509.75 + ] + }, + { + "text": "0.57", + "bbox_points": [ + 519.87, + 501.74, + 535.12, + 509.75 + ] + } + ] + }, + { + "text": "K 0.90 14 5.7 0.32 0.50 4.3 1.5 0.087", + "bbox_points": [ + 43.43, + 515.74, + 539.54, + 523.75 + ], + "words": [ + { + "text": "K", + "bbox_points": [ + 43.43, + 515.74, + 49.43, + 523.75 + ] + }, + { + "text": "0.90", + "bbox_points": [ + 108.79, + 515.74, + 124.04, + 523.75 + ] + }, + { + "text": "14", + "bbox_points": [ + 163.79, + 515.74, + 172.62, + 523.75 + ] + }, + { + "text": "5.7", + "bbox_points": [ + 218.66, + 515.74, + 229.5, + 523.75 + ] + }, + { + "text": "0.32", + "bbox_points": [ + 283.63, + 515.74, + 298.88, + 523.75 + ] + }, + { + "text": "0.50", + "bbox_points": [ + 345.03, + 515.74, + 360.28, + 523.75 + ] + }, + { + "text": "4.3", + "bbox_points": [ + 399.97, + 515.74, + 410.8, + 523.75 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 454.85, + 515.74, + 465.68, + 523.75 + ] + }, + { + "text": "0.087", + "bbox_points": [ + 519.87, + 515.74, + 539.54, + 523.75 + ] + } + ] + }, + { + "text": "Ca 45 229 125 36 36 116 61 18", + "bbox_points": [ + 43.43, + 529.74, + 528.7, + 537.76 + ], + "words": [ + { + "text": "Ca", + "bbox_points": [ + 43.43, + 529.74, + 53.33, + 537.76 + ] + }, + { + "text": "45", + "bbox_points": [ + 108.79, + 529.74, + 117.63, + 537.76 + ] + }, + { + "text": "229", + "bbox_points": [ + 163.79, + 529.74, + 177.03, + 537.76 + ] + }, + { + "text": "125", + "bbox_points": [ + 218.66, + 529.74, + 231.91, + 537.76 + ] + }, + { + "text": "36", + "bbox_points": [ + 283.63, + 529.74, + 292.47, + 537.76 + ] + }, + { + "text": "36", + "bbox_points": [ + 345.03, + 529.74, + 353.86, + 537.76 + ] + }, + { + "text": "116", + "bbox_points": [ + 399.97, + 529.74, + 413.22, + 537.76 + ] + }, + { + "text": "61", + "bbox_points": [ + 454.85, + 529.74, + 463.68, + 537.76 + ] + }, + { + "text": "18", + "bbox_points": [ + 519.87, + 529.74, + 528.7, + 537.76 + ] + } + ] + }, + { + "text": "Mg 17 104 43 22–27 5.3 20 10 5.2–6.4", + "bbox_points": [ + 43.43, + 543.46, + 545.5, + 551.76 + ], + "words": [ + { + "text": "Mg", + "bbox_points": [ + 43.43, + 543.74, + 55.17, + 551.76 + ] + }, + { + "text": "17", + "bbox_points": [ + 108.79, + 543.74, + 117.63, + 551.76 + ] + }, + { + "text": "104", + "bbox_points": [ + 163.79, + 543.74, + 177.03, + 551.76 + ] + }, + { + "text": "43", + "bbox_points": [ + 218.66, + 543.74, + 227.5, + 551.76 + ] + }, + { + "text": "22–27", + "bbox_points": [ + 283.63, + 543.46, + 305.28, + 551.76 + ] + }, + { + "text": "5.3", + "bbox_points": [ + 345.03, + 543.74, + 355.86, + 551.76 + ] + }, + { + "text": "20", + "bbox_points": [ + 399.97, + 543.74, + 408.8, + 551.76 + ] + }, + { + "text": "10", + "bbox_points": [ + 454.85, + 543.74, + 463.68, + 551.76 + ] + }, + { + "text": "5.2–6.4", + "bbox_points": [ + 519.87, + 543.46, + 545.5, + 551.76 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/table_02.txt" "b/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/table_02.txt" new file mode 100644 index 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technique)", + "page": 4, + "table_bbox_points": [ + 40.43, + 597.44, + 548.44, + 715.28 + ], + "caption_bbox_points": [ + 43.43, + 589.27, + 369.51, + 597.44 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 8, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Element Wavelength (nm) Calibration curve formula R2 Measurement range (mg/L)", + "bbox_points": [ + 43.43, + 610.79, + 545.47, + 618.06 + ], + "words": [ + { + "text": "Element", + "bbox_points": [ + 43.43, + 612.06, + 69.04, + 618.06 + ] + }, + { + "text": "Wavelength", + "bbox_points": [ + 107.72, + 612.06, + 144.47, + 618.06 + ] + }, + { + "text": "(nm)", + "bbox_points": [ + 146.44, + 612.06, + 160.42, + 618.06 + ] + }, + { + "text": "Calibration", + "bbox_points": [ + 199.05, + 612.06, + 233.06, + 618.06 + ] + }, + { + "text": "curve", + "bbox_points": [ + 235.1, + 612.06, + 252.17, + 618.06 + ] + }, + { + "text": "formula", + "bbox_points": [ + 254.21, + 612.06, + 278.38, + 618.06 + ] + }, + { + "text": "R2", + "bbox_points": [ + 398.67, + 610.79, + 405.65, + 618.02 + ] + }, + { + "text": "Measurement", + "bbox_points": [ + 461.31, + 612.06, + 504.48, + 618.06 + ] + }, + { + "text": "range", + "bbox_points": [ + 506.44, + 612.06, + 524.18, + 618.06 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 526.11, + 612.06, + 545.47, + 618.06 + ] + } + ] + }, + { + "text": "Ca 616.217 I ¼ 2,071.230 · C 3276.026 0.9997 10–180", + "bbox_points": [ + 43.43, + 626.92, + 487.37, + 635.21 + ], + "words": [ + { + "text": "Ca", + "bbox_points": [ + 43.43, + 627.2, + 53.33, + 635.21 + ] + }, + { + "text": "616.217", + "bbox_points": [ + 107.72, + 627.2, + 136.21, + 635.21 + ] + }, + { + "text": "I", + "bbox_points": [ + 199.05, + 627.1, + 202.21, + 635.1 + ] + }, + { + "text": "¼", + "bbox_points": [ + 203.75, + 626.92, + 209.91, + 634.92 + ] + }, + { + "text": "2,071.230", + "bbox_points": [ + 211.52, + 627.2, + 246.32, + 635.21 + ] + }, + { + "text": "·", + "bbox_points": [ + 247.92, + 627.2, + 249.92, + 635.21 + ] + }, + { + "text": "C", + "bbox_points": [ + 251.49, + 627.1, + 256.98, + 635.1 + ] + }, + { + "text": "3276.026", + "bbox_points": [ + 266.23, + 627.2, + 299.14, + 635.21 + ] + }, + { + "text": "0.9997", + "bbox_points": [ + 398.66, + 627.2, + 422.74, + 635.21 + ] + }, + { + "text": "10–180", + "bbox_points": [ + 461.31, + 626.92, + 487.37, + 635.21 + ] + } + ] + }, + { + "text": "Fe 371.993 I ¼ 3,396.588 · C þ 93.997 0.9999 0.061–1.00", + "bbox_points": [ + 43.43, + 640.92, + 500.2, + 649.22 + ], + "words": [ + { + "text": "Fe", + "bbox_points": [ + 43.43, + 641.2, + 52.02, + 649.22 + ] + }, + { + "text": "371.993", + "bbox_points": [ + 107.72, + 641.2, + 136.21, + 649.22 + ] + }, + { + "text": "I", + "bbox_points": [ + 199.05, + 641.1, + 202.21, + 649.1 + ] + }, + { + "text": "¼", + "bbox_points": [ + 203.75, + 640.92, + 209.91, + 648.92 + ] + }, + { + "text": "3,396.588", + "bbox_points": [ + 211.52, + 641.2, + 246.32, + 649.22 + ] + }, + { + "text": "·", + "bbox_points": [ + 247.92, + 641.2, + 249.92, + 649.22 + ] + }, + { + "text": "C", + "bbox_points": [ + 251.49, + 641.1, + 256.99, + 649.1 + ] + }, + { + "text": "þ", + "bbox_points": [ + 258.52, + 640.92, + 264.68, + 648.92 + ] + }, + { + "text": "93.997", + "bbox_points": [ + 266.23, + 641.2, + 290.31, + 649.22 + ] + }, + { + "text": "0.9999", + "bbox_points": [ + 398.66, + 641.2, + 422.74, + 649.22 + ] + }, + { + "text": "0.061–1.00", + "bbox_points": [ + 461.31, + 640.92, + 500.2, + 649.22 + ] + } + ] + }, + { + "text": "K 766.491 I ¼ 53,251.256 · C þ 218.048 0.9998 0.50–22", + "bbox_points": [ + 43.43, + 654.92, + 489.36, + 663.22 + ], + "words": [ + { + "text": "K", + "bbox_points": [ + 43.43, + 655.2, + 49.43, + 663.22 + ] + }, + { + "text": "766.491", + "bbox_points": [ + 107.72, + 655.2, + 136.21, + 663.22 + ] + }, + { + "text": "I", + "bbox_points": [ + 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+ ] + }, + { + "text": "285.213", + "bbox_points": [ + 107.72, + 669.15, + 136.21, + 677.16 + ] + }, + { + "text": "I", + "bbox_points": [ + 199.05, + 669.05, + 202.21, + 677.05 + ] + }, + { + "text": "¼", + "bbox_points": [ + 203.76, + 668.87, + 209.92, + 676.87 + ] + }, + { + "text": "(289,542.29", + "bbox_points": [ + 211.52, + 669.15, + 253.48, + 677.16 + ] + }, + { + "text": "·", + "bbox_points": [ + 255.06, + 669.15, + 257.06, + 677.16 + ] + }, + { + "text": "C", + "bbox_points": [ + 258.63, + 669.05, + 264.13, + 677.05 + ] + }, + { + "text": "·", + "bbox_points": [ + 265.66, + 669.15, + 267.66, + 677.16 + ] + }, + { + "text": "96,871.87)/(1", + "bbox_points": [ + 269.24, + 669.15, + 317.5, + 677.16 + ] + }, + { + "text": "þ", + "bbox_points": [ + 319.07, + 668.87, + 325.23, + 676.87 + ] + }, + { + "text": "0.041", + "bbox_points": [ + 326.83, + 669.15, + 346.5, + 677.16 + ] + }, + { + "text": "·", + "bbox_points": [ + 347.98, + 669.15, + 349.98, + 677.16 + ] + }, + { + "text": 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"detection_error": null +} diff --git "a/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/table_03.txt" "b/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/table_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..90a0f8fbc95adb6ac6e8fb74a06e3dcfe6218592 --- /dev/null +++ "b/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/table_03.txt" @@ -0,0 +1 @@ +Selected validation parameters of used analytical methods (MIP-OES technique) diff --git "a/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/table_04.jpg" "b/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type 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jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/table_04.txt" "b/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/table_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..39b3671ea1933da009eb9e47278c103eaabe4a4e --- /dev/null +++ "b/Figures/Kwiatkowski et al. - 2024 - The effect of using jug-type water filters on selected metals concentration in tap water \342\200\223 a case st/table_04.txt" @@ -0,0 +1 @@ +Zn and Fe concentration in tap and filtered water diff --git "a/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/figure_01.jpg" "b/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/figure_01.jpg" new file mode 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residual chlorine in a water distribution network using artificial intellig/figure_01.txt" @@ -0,0 +1 @@ +Location of the Lirima gravity water distribution scheme in eastern Uganda. diff --git "a/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/figure_02.jpg" "b/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..285b4fd40c6bbfaf6d6713b93068962adc9fd5ce --- /dev/null +++ "b/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9a9ff92f6c3cdf7eb1e1535efb791ee00f32b0850a02e100a74c12014dd4a2cf +size 165141 diff --git "a/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/figure_02.txt" "b/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..7604a94749157f51c1f011ec4954f78b202c9178 --- /dev/null +++ "b/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/figure_02.txt" @@ -0,0 +1 @@ +Water sampling points (yard taps) on the Lirima gravity scheme. diff --git "a/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/figure_03.jpg" "b/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine 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2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/table_09.txt" "b/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/table_09.txt" new file mode 100644 index 0000000000000000000000000000000000000000..567810296f047b8975a36c2d942ff11dd51589a2 --- /dev/null +++ "b/Figures/Kwio-Tamale and Onyutha - 2024 - Space\342\200\223time prediction of residual chlorine in a water distribution network using artificial intellig/table_09.txt" @@ -0,0 +1 @@ +Comparison of models in predicting free residual chlorine diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_01.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..9d8916e412cfc2d8222ef29c44632a55c4c751b0 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9af191e8f52fcfea695e4719efe8437a26ce41fc22c13a8c4563cf961acafb22 +size 148864 diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_01.txt" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d125c3a0552a444a93bf7e71beb908198b396428 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_01.txt" @@ -0,0 +1 @@ +Geographic location of the study area with the elevation information (Adapted from https://cgiarcsi.community/data/srtm-90m- digital-elevation-database-v4-1). diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_02.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..1c5dfa6206c6d74f813461339b36bc0c09bc884e --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c24294ab792d02c59ac22775b9c4088cae635816e255bfdd497dabb99bd4b315 +size 184060 diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_02.txt" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..6c54248b243561e8fa30a441a3eaeb2fc77eb4e0 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_02.txt" @@ -0,0 +1 @@ +Geographic distribution of the stations used in the study based on the geographic regions of Turkey along with topographic information. The numbers I, II, III, IV, V, VI, and VII designate geographic regions of Aegean, Black Sea, Central Anatolian, Eastern Anatolian, Marmara, Mediterranean, and South-eastern Anatolian regions, respectively. diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_03.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..71ecac4bf260608a6bb0646678e60c2c1985387e --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:360808a1a5081e931a6ff12839df31e3d3d37f815325df4020de65b05a1042b1 +size 71861 diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_03.txt" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..8558474cc96a99674d728182ea393d81cc73c1a3 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_03.txt" @@ -0,0 +1 @@ +Major steps pursued in the implementation of the EOF methodology. diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_04.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..a969a60e47c6a6a826d69fa1283e0fea2bbfabf0 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4c255abd21c60fb0849e75b2b1bbc4cb8badeb24033f748a93eb740e5e7c3d27 +size 51945 diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_04.txt" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..bd7521041b111f890a3720a25b3e7f5154216682 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_04.txt" @@ -0,0 +1 @@ +Scree plot of the explained variances for the acquired principal components for the monthly precipitation series. diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_05.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..24b8dd36b374e5c45add0d2601685e241bad85e2 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:149ad6b5cbb5101f984880957c76814c6af59d495bb89b13c7c33c963b736a7a +size 166530 diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_05.txt" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..98d2de8e34daf94905a5415f03462ba7cf6e13c1 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_05.txt" @@ -0,0 +1 @@ +The first empirical orthogonal function mode of the monthly precipitation: (a) spatial variability and (b) its corresponding principal component (PC1) over Turkey. diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_06.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..8a5c7ff164c1c2dac0c928d092e49d6c2a8f00d5 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6fd26d600e62094361f39016ac2b144db1e2e0f5f71954eaef7e4b9d609d7739 +size 153656 diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_06.txt" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d6cbacb1fe410ff3d0cda5e7f15386a7e4e39017 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_06.txt" @@ -0,0 +1 @@ +The second empirical orthogonal function mode of the monthly precipitation: (a) spatial variability and (b) its corresponding principal component (PC2) over Turkey. diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_07.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_07.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..de066be7957daab9f39a1578fbc5217b6402d00f --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_07.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b513c340084818e591f286abb1f34e01dad5f0ac84af2d30a196e8bf54e03c33 +size 168526 diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_07.txt" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_07.txt" new file mode 100644 index 0000000000000000000000000000000000000000..a18f03d99fdab3c926b6a109258e7fc8889e33bc --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_07.txt" @@ -0,0 +1 @@ +The third empirical orthogonal function mode of the monthly precipitation: (a) spatial variability and (b) its corresponding principal component (PC3) over Turkey. diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_08.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_08.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..d4e9268497e05fe3b81e3bde59719c5de0a79329 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_08.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f267a5b59a6b7d0d5f73c5bbca463c4b4faf3c4023365204205e2760d5cdcf4b +size 54354 diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_08.txt" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_08.txt" new file mode 100644 index 0000000000000000000000000000000000000000..be41a1666605b3cf4b26a5666ce1cf915a0eedb7 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_08.txt" @@ -0,0 +1 @@ +Scree plot of the explained variances for the acquired principal components for the (left) wet and (right) dry seasons’ precipitation series, respectively. diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_09.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_09.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..32fcc1c51b75f0310627729fb7bf9ed65c714a84 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_09.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dc733e1a23b1216b16cf36f33822a3fe0ae00ead37be1438d070286fd923cebf +size 183762 diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_09.txt" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_09.txt" new file mode 100644 index 0000000000000000000000000000000000000000..7af513c0efb16a5527a3f2c44d7a143aed55d614 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_09.txt" @@ -0,0 +1 @@ +Spatial variability of the first empirical orthogonal function mode for the (a) wet season and (b) dry season; spatial variability of the second empirical orthogonal function mode for the (c) wet season and (d) dry season; spatial variability of the third empirical orthogonal function mode for the (e) wet season and (f) dry season. diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_10.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_10.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..6119a2a369b78b762f77493eae6ec519a4d0c68f --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_10.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:365e30e6c925b14f2389829972f5be1f782a37825235e240d6db1b9bdfb11f93 +size 179594 diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_10.txt" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_10.txt" new file mode 100644 index 0000000000000000000000000000000000000000..ef89114d591a5a8c3def82d895e95ad36c65a052 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_10.txt" @@ -0,0 +1 @@ +Spatial distribution of Pearson’s r values and significance of the relationship between the monthly precipitation anomalies and the teleconnection indices. diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_11.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_11.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..4a87bb036460c27802eb775230a87203d584b368 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_11.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e57557300ef1a53278b9eedbe9e7c967995f1fcb34c6136119ca0f079dedd4ce +size 168448 diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_11.txt" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_11.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d74eaab3b641508b15ee076e83cad00acae53a40 --- /dev/null +++ "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/figure_11.txt" @@ -0,0 +1 @@ +Comparison of the first principal component (PC1) with the annual (a) NAO and (b) AO, (c) AMO, and (d) MO indices for the 1975– 2021 period. diff --git "a/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 2024 - Characterizing variability of spatial patterns of_/graphic_abstract.jpg" "b/Figures/K\303\266m\303\274\305\237c\303\274 and Aksoy - 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The numbers I, II, III, IV, V, VI, and VII designate geographic regions of Aegean, Black Sea, Central Anatolian, Eastern Anatolian, Marmara, Mediterranean, and South-eastern Anatolian regions, respectively.", + "image": "figure_02.jpg", + "caption_file": "figure_02.txt", + "figure_bbox_points": [ + 69.0, + 77.28, + 561.08, + 383.35 + ], + "caption_bbox_points": [ + 64.01, + 384.89, + 566.02, + 413.07 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 184060, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_03", + "page": 7, + "caption": "Major steps pursued in the implementation of the EOF methodology.", + "image": "figure_03.jpg", + "caption_file": "figure_03.txt", + "figure_bbox_points": [ + 168.44, + 77.28, + 420.64, + 482.62 + ], + "caption_bbox_points": [ + 43.43, + 484.1, + 334.51, + 492.33 + ], + "crop_method": 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414.45, + 259.75 + ] + }, + { + "text": "monthly", + "bbox_points": [ + 417.44, + 250.73, + 451.15, + 259.75 + ] + }, + { + "text": "flows", + "bbox_points": [ + 454.11, + 250.41, + 475.45, + 259.75 + ] + }, + { + "text": "are", + "bbox_points": [ + 478.38, + 250.73, + 490.98, + 259.75 + ] + } + ] + }, + { + "text": "also less erratic than the Chenab (Bakshi & Trivedi 2011).", + "bbox_points": [ + 37.02, + 263.71, + 276.16, + 272.73 + ], + "words": [ + { + "text": "also", + "bbox_points": [ + 37.02, + 263.71, + 53.21, + 272.73 + ] + }, + { + "text": "less", + "bbox_points": [ + 56.18, + 263.71, + 70.79, + 272.73 + ] + }, + { + "text": "erratic", + "bbox_points": [ + 73.82, + 263.71, + 100.02, + 272.73 + ] + }, + { + "text": "than", + "bbox_points": [ + 102.96, + 263.71, + 121.21, + 272.73 + ] + }, + { + "text": "the", + "bbox_points": [ + 124.22, + 263.71, + 136.95, + 272.73 + ] + }, + { + "text": "Chenab", + "bbox_points": [ + 139.98, + 263.71, + 171.26, + 272.73 + ] + }, + { + "text": "(Bakshi", + "bbox_points": [ + 174.22, + 263.71, + 205.14, + 272.73 + ] + }, + { + "text": "&", + "bbox_points": [ + 208.12, + 263.71, + 216.37, + 272.73 + ] + }, + { + "text": "Trivedi", + "bbox_points": [ + 219.4, + 263.71, + 247.93, + 272.73 + ] + }, + { + "text": "2011).", + "bbox_points": [ + 250.98, + 263.71, + 276.16, + 272.73 + ] + } + ] + }, + { + "text": "Therefore, according to calculations, the current cumulative impact on the three western rivers of the Indus is", + "bbox_points": [ + 45.98, + 276.69, + 490.99, + 285.71 + ], + "words": [ + { + "text": "Therefore,", + "bbox_points": [ + 45.98, + 276.69, + 87.65, + 285.71 + ] + }, + { + "text": "according", + "bbox_points": [ + 90.26, + 276.69, + 130.14, + 285.71 + ] + }, + { + "text": "to", + "bbox_points": [ + 132.84, + 276.69, + 140.88, + 285.71 + ] + }, + { + "text": "calculations,", + "bbox_points": [ + 143.55, + 276.69, + 194.18, + 285.71 + ] + }, + { + "text": "the", + "bbox_points": [ + 196.9, + 276.69, + 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This adherence to the treaty demonstrates a com-", + "bbox_points": [ + 37.02, + 315.7, + 490.99, + 324.71 + ], + "words": [ + { + "text": "fair", + "bbox_points": [ + 37.02, + 315.7, + 50.68, + 324.71 + ] + }, + { + "text": "distribution", + "bbox_points": [ + 53.35, + 315.7, + 99.93, + 324.71 + ] + }, + { + "text": "of", + "bbox_points": [ + 102.62, + 315.7, + 110.57, + 324.71 + ] + }, + { + "text": "water", + "bbox_points": [ + 113.22, + 315.7, + 135.79, + 324.71 + ] + }, + { + "text": "resources", + "bbox_points": [ + 138.45, + 315.7, + 176.7, + 324.71 + ] + }, + { + "text": "between", + "bbox_points": [ + 179.32, + 315.7, + 213.14, + 324.71 + ] + }, + { + "text": "the", + "bbox_points": [ + 215.72, + 315.7, + 228.46, + 324.71 + ] + }, + { + "text": "two", + "bbox_points": [ + 231.08, + 315.7, + 246.25, + 324.71 + ] + }, + { + "text": "countries.", + "bbox_points": [ + 248.94, + 315.7, + 288.64, + 324.71 + ] + }, + { + "text": "This", + "bbox_points": [ + 291.29, + 315.7, + 308.62, + 324.71 + ] + }, + { + "text": "adherence", + "bbox_points": [ + 311.25, + 315.7, + 353.23, + 324.71 + ] + }, + { + "text": "to", + "bbox_points": [ + 355.87, + 315.7, + 363.91, + 324.71 + ] + }, + { + "text": "the", + "bbox_points": [ + 366.58, + 315.7, + 379.32, + 324.71 + ] + }, + { + "text": "treaty", + "bbox_points": [ + 382.0, + 315.7, + 404.82, + 324.71 + ] + }, + { + "text": "demonstrates", + "bbox_points": [ + 407.52, + 315.7, + 461.32, + 324.71 + ] + }, + { + "text": "a", + "bbox_points": [ + 463.93, + 315.7, + 468.61, + 324.71 + ] + }, + { + "text": "com-", + "bbox_points": [ + 471.13, + 315.7, + 490.99, + 324.71 + ] + } + ] + }, + { + "text": "mitment to maintaining peaceful relations and resolving water-related disputes through diplomatic means.", + "bbox_points": [ + 37.02, + 328.68, + 470.09, + 337.7 + ], + "words": [ + { + "text": "mitment", + "bbox_points": [ + 37.02, + 328.68, + 71.02, + 337.7 + ] + }, + { + "text": "to", + "bbox_points": [ + 73.98, + 328.68, + 82.03, + 337.7 + ] + }, + { + "text": "maintaining", + "bbox_points": [ + 85.04, + 328.68, + 133.54, + 337.7 + ] + }, + { + "text": "peaceful", + "bbox_points": [ + 136.58, + 328.68, + 170.38, + 337.7 + ] + }, + { + "text": "relations", + "bbox_points": [ + 173.37, + 328.68, + 208.31, + 337.7 + ] + }, + { + "text": "and", + "bbox_points": [ + 211.36, + 328.68, + 226.52, + 337.7 + ] + }, + { + "text": "resolving", + "bbox_points": [ + 229.5, + 328.68, + 266.11, + 337.7 + ] + }, + { + "text": "water-related", + "bbox_points": [ + 269.13, + 328.68, + 321.75, + 337.7 + ] + }, + { + "text": "disputes", + "bbox_points": [ + 324.8, + 328.68, + 357.75, + 337.7 + ] + }, + { + "text": "through", + "bbox_points": [ + 360.63, + 328.68, + 392.56, + 337.7 + ] + }, + { + "text": "diplomatic", + "bbox_points": [ + 395.5, + 328.68, + 438.68, + 337.7 + ] + }, + { + "text": "means.", + "bbox_points": [ + 441.71, + 328.68, + 470.09, + 337.7 + ] + } + ] + }, + { + "text": "In conclusion, the study observes that external factors, excluding the impact of climate change on the avail-", + "bbox_points": [ + 45.98, + 341.72, + 490.99, + 350.74 + ], + "words": [ + { + "text": "In", + "bbox_points": [ + 45.98, + 341.72, + 54.87, + 350.74 + ] + }, + { + "text": "conclusion,", + "bbox_points": [ + 58.17, + 341.72, + 104.52, + 350.74 + ] + }, + { + "text": "the", + "bbox_points": [ + 107.83, + 341.72, + 120.57, + 350.74 + ] + }, + { + "text": "study", + "bbox_points": [ + 123.88, + 341.72, + 145.2, + 350.74 + ] + }, + { + "text": "observes", + "bbox_points": [ + 148.42, + 341.72, + 183.18, + 350.74 + ] + }, + { + "text": "that", + "bbox_points": [ + 186.35, + 341.72, + 202.17, + 350.74 + ] + }, + { + "text": "external", + "bbox_points": [ + 205.4, + 341.72, + 238.06, + 350.74 + ] + }, + { + "text": "factors,", + "bbox_points": [ + 241.35, + 341.72, + 270.93, + 350.74 + ] + }, + { + "text": "excluding", + "bbox_points": [ + 274.17, + 341.72, + 313.12, + 350.74 + ] + }, + { + "text": "the", + "bbox_points": [ + 316.41, + 341.72, + 329.15, + 350.74 + ] + }, + { + "text": "impact", + "bbox_points": [ + 332.46, + 341.72, + 360.07, + 350.74 + ] + }, + { + "text": "of", + "bbox_points": [ + 363.35, + 341.72, + 371.31, + 350.74 + ] + }, + { + "text": "climate", + "bbox_points": [ + 374.64, + 341.72, + 404.2, + 350.74 + ] + }, + { + "text": "change", + "bbox_points": [ + 407.52, + 341.72, + 436.37, + 350.74 + ] + }, + { + "text": "on", + "bbox_points": [ + 439.67, + 341.72, + 450.15, + 350.74 + ] + }, + { + "text": "the", + "bbox_points": [ + 453.44, + 341.72, + 466.18, + 350.74 + ] + }, + { + "text": "avail-", + "bbox_points": [ + 469.49, + 341.72, + 490.99, + 350.74 + ] + } + ] + }, + { + "text": "ability of river water, have a relatively lesser influence on the physical water availability in Pakistan. However,", + "bbox_points": [ + 37.02, + 354.39, + 490.95, + 363.72 + ], + "words": [ + { + "text": "ability", + "bbox_points": [ + 37.02, + 354.7, + 61.92, + 363.72 + ] + }, + { + "text": "of", + "bbox_points": [ + 64.97, + 354.7, + 72.93, + 363.72 + ] + }, + { + "text": "river", + "bbox_points": [ + 76.03, + 354.7, + 94.83, + 363.72 + ] + }, + { + "text": "water,", + "bbox_points": [ + 97.97, + 354.7, + 122.79, + 363.72 + ] + }, + { + "text": "have", + "bbox_points": [ + 125.92, + 354.7, + 144.93, + 363.72 + ] + }, + { + "text": "a", + "bbox_points": [ + 148.08, + 354.7, + 152.76, + 363.72 + ] + }, + { + "text": "relatively", + "bbox_points": [ + 155.85, + 354.7, + 192.86, + 363.72 + ] + }, + { + "text": "lesser", + "bbox_points": [ + 195.88, + 354.7, + 218.54, + 363.72 + ] + }, + { + "text": "influence", + "bbox_points": [ + 221.67, + 354.39, + 258.98, + 363.72 + ] + }, + { + "text": "on", + "bbox_points": [ + 262.09, + 354.7, + 272.58, + 363.72 + ] + }, + { + "text": "the", + "bbox_points": [ + 275.7, + 354.7, + 288.43, + 363.72 + ] + }, + { + "text": "physical", + "bbox_points": [ + 291.57, + 354.7, + 324.63, + 363.72 + ] + }, + { + "text": "water", + "bbox_points": [ + 327.74, + 354.7, + 350.32, + 363.72 + ] + }, + { + "text": "availability", + "bbox_points": [ + 353.37, + 354.7, + 397.46, + 363.72 + ] + }, + { + "text": "in", + "bbox_points": [ + 400.59, + 354.7, + 408.55, + 363.72 + ] + }, + { + "text": "Pakistan.", + "bbox_points": [ + 411.71, + 354.7, + 448.47, + 363.72 + ] + }, + { + "text": "However,", + "bbox_points": [ + 451.62, + 354.7, + 490.95, + 363.72 + ] + } + ] + }, + { + "text": "it occupies a larger narrative space in all discussions of water scarcity in the region. 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2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_01.txt b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..fed2ee99202744894d9ed91bc7eababcc4682893 --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_01.txt @@ -0,0 +1 @@ +Chemical structure of the building blocks of dextran (a) and protonated alginate (b). diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_02.jpg b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..034d68b18f114ad3cb1be2581cb8ccbec6813de2 --- /dev/null +++ b/Figures/Laforce et al. - 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2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_03.jpg b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ffc4e403da4e736eb25bc3d7027d95fd78c187f0 --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:706b13c183e60ae48550cd5cab9193ce59cb8a6e85dd001ae7e1660c3ceb8ab8 +size 29855 diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_03.txt b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..06d2e75ec8b52c9c5c5ef1209e46d1b6b3c12834 --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_03.txt @@ -0,0 +1 @@ +Overlay of the HPSEC-TOC chromatograms of 8 mg L1 alginate spiked in tap water (red) and UP water (yellow) and tap water as such (black), next to the HPSEC-UV chromatogram of tap water (dashed line). diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_04.jpg b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..063a0c957cd5aa333f3b4eca46e898565f4428a0 --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d7f6b6f3e7e3c776f0425bb4e59e26bd4f3edd6cd88c7075747b4815f591b264 +size 47506 diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_04.txt b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..9003b1785ef3ec72ed9fbfb133dccfa74f023640 --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_04.txt @@ -0,0 +1 @@ +Removal efficiency (bars) and equilibrium pH (dots) for alginate spiked in UP and tap water and humics from tap water (50 mL spiked water þ 0.1 g NaOH conditioned resin (mass with equivalent capacity for HCl conditioned resin); 22 h, 200 rpm, 25 °C. diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_05.jpg b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4b0f7bfc3228e9245efb89831fa788aee722539a --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4fab7df52213e136944bdca7ed2c724201266bea6358c3dac5fac98dbd54f357 +size 8386 diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_05.txt b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a0cb6c8b5d73e4c7c388b35e3592fe2288a856d --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_05.txt @@ -0,0 +1 @@ +Ion exchange (indicated by arrow) as a removal mechanism for molecules having a carboxyl functionality with an AER resin. For a WBA resin, X ¼ H (at neutral to slightly acidic conditions), and for a SBA type I resin, X ¼ CH3 (at neutral to slightly acidic or basic conditions). diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_06.jpg b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..40956f2589c8c3702ee7cff3efcba589a70c50cb --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bbcffdc7599863783b7e2e2849c7483d3be3b7d2995c75f523b4cac1abeb1aac +size 25361 diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_06.txt b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..af9fefa0c7c40de6bb6897105660afd819273d92 --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_06.txt @@ -0,0 +1 @@ +Overlay of the initial HPSEC-TOC chromatograms of 8 mg L1 dextran spiked in UP water (yellow) tap water (red) and tap water (black). diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_07.jpg b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_07.jpg new file mode 100644 index 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+Overlay of the HPSEC-TOC chromatograms of 8 mg L1 dextran spiked in UP water (yellow) and 8 mg L1 alginate spiked in UP water (red). diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_08.jpg b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a60eba89a5752ee5a61a6dc410f40d4eec54404b --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:045ba45b666472c9be6f2f4eaed76819b62c2dd1b18f72acb1ba060a98803706 +size 44530 diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_08.txt b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5ee3cdd3e6c8da31d6782bd5edfc0bfb9362a03 --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_08.txt @@ -0,0 +1 @@ +Removal efficiency (bars) and equilibrium pH (dots) for dextran spiked in UP or tap water and humics from tap water (50 mL spiked water þ 2 g L1 NaOH conditioned resin; 22 h, 200 rpm, 25 °C). diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_09.jpg b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/figure_09.jpg new file mode 100644 index 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+H-bond formation (indicated by a bold dashed line) as a removal mechanism for molecules having a hydroxyl functionality with an SBA (OH) resin (a) and CH–π stacking (thin dashed lines) between the axial positioned H-atoms of a glucose unit and the π-electron system of a benzene ring. diff --git a/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/graphic_abstract.jpg b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0149a72eff8934f061e9d13d0e33185a5b5aa53f --- /dev/null +++ b/Figures/Laforce et al. - 2025 - Insights into biopolymer and humics natural organic matter removal mechanisms by anion exchange resi/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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+++ b/Figures/Lakmali et al. - 2024 - Comparative examination of leaching kinetics of soluble solids and effluent characteristics in diffe/table_05.txt @@ -0,0 +1 @@ +Cost analysis for different soaking processes: CS, SAS, and hot water soaking diff --git a/Figures/Lambiasi et al. - 2024 - Greenhouse gas emissions from sanitation and wastewater management systems a review/figure_01.jpg b/Figures/Lambiasi et al. - 2024 - Greenhouse gas emissions from sanitation and wastewater management systems a review/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5cb68cc21d9c5acde8a40a508bcef90daf892ab7 --- /dev/null +++ b/Figures/Lambiasi et al. - 2024 - Greenhouse gas emissions from sanitation and wastewater management systems a review/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fce5e17151a1ac5af8dddc2230eab44849d9ad3cf4cd9595e16d1761db459dc7 +size 171382 diff --git a/Figures/Lambiasi et al. - 2024 - Greenhouse gas emissions from sanitation and wastewater management systems a review/figure_01.txt b/Figures/Lambiasi et al. - 2024 - Greenhouse gas emissions from sanitation and wastewater management systems a review/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..54cab7780bd702cfba5937e97b03cc2cddfc4740 --- /dev/null +++ b/Figures/Lambiasi et al. - 2024 - Greenhouse gas emissions from sanitation and wastewater management systems a review/figure_01.txt @@ -0,0 +1 @@ +Three examples of the sanitation service chain with different system configurations where System A consists of water flush toilets connected to sewers with a centralized wastewater treatment plant, System B is non-sewered and consists of dry or flush toilets where the treatment of sludge happens on-site, and System C is also non-sewered and consists of dry or flush toilets where the sludge is collected in a tank on-site but then later emptied and taken via road-based transport to a treatment facility 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current study’s ANN model. diff --git a/Figures/Latif et al. - 2024 - Developing an innovative machine learning model for rainfall prediction in a semi-arid region/figure_05.jpg b/Figures/Latif et al. - 2024 - Developing an innovative machine learning model for rainfall prediction in a semi-arid region/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..26aa93a3ed048e9596bc85f99c5e24942bae79fe --- /dev/null +++ b/Figures/Latif et al. - 2024 - Developing an innovative machine learning model for rainfall prediction in a semi-arid region/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2d2c77d34268788d7b67a78ffbced7b6c8ea9ed813244f0a4c57f54294ecf420 +size 33064 diff --git a/Figures/Latif et al. - 2024 - Developing an innovative machine learning model for rainfall prediction in a semi-arid region/figure_05.txt b/Figures/Latif et al. - 2024 - Developing an innovative machine learning model for rainfall prediction in a 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+Location of the Weser estuary and available water-level monitoring stations. diff --git "a/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_02.jpg" "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..24081c2e0c3a958400ba4215ad3fb5cfd0734059 --- /dev/null +++ "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3aeffdaecd8559d027eff19875ada5b36e4df020768a101ca1903666e5f1885c +size 76615 diff --git "a/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_02.txt" "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..c9c38b6d613149c47102393ac0a87c0e8608f32d --- /dev/null +++ "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_02.txt" @@ -0,0 +1 @@ +Two-step workflow (blue/grey) for three regression models (* ¼ LR, NLR, ANN). In the blue fields, the model fitting is done by training with values from 3 years (2,116 data from July 2000 to June 2003). In the grey fields, the final trained model is used to approximate data for a period of 19 years (13,410 data from January 2000 to December 2018). The performance (①: training, ②: test) of both steps can be determined using the RMSE by comparing the actual measured values (target) to the individual regression model output. This workflow was used 22 times (2 targets at 11 stations) for each regression approach. diff --git "a/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_03.jpg" "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..f65872df8ee52f1d4165dd28b95edbcdf0efe811 --- /dev/null +++ "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:09469963d3ceb1e91f5bf5ea5acb45c3cc9ba1a9a93a188ef8a0fd9466012707 +size 183664 diff --git "a/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_03.txt" "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..f0e907d19f5cfd7a0fc2db16e3997d60669ae941 --- /dev/null +++ "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_03.txt" @@ -0,0 +1 @@ +Pearson correlation coefficient (PCC, subplot (a,b)) and relief weights with 75 for the integer of the nearest neighbours (k ¼ 75, subplot (c,d)) for each of the 11 inner-estuary stations (x-axes: no. 12 to no. 2) correlated with the given 10 predictors (y-axes). For better comparability, the relief weights have been enlarged by *102. Both correlation procedures were done column-wise separately for the respective tlw-target variables (left side: subplot (a,c)) and thw-target variables (right side: subplot (b,d)). diff --git "a/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_04.jpg" "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..dc5cb610a03d7a39992794b8752e554d0a56155c --- /dev/null +++ "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:457cb3384623de448070f0a15f82d4ae9c6216bff42c1703617903fe8f442627 +size 116627 diff --git "a/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_04.txt" "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..8c93f352f224f3fe4571dbb08cc05b95b3777ecc --- /dev/null +++ "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_04.txt" @@ -0,0 +1 @@ +Station-wise representation of training quality for three regression models – linear (LR: blue), non-linear (NLR: red) and artificial neural networks (ANNs: yellow) regression. The RMSEs are shown in cm for the approximation of the two target variables: tidal low (tlw) and tidal high (thw) water. The regression coefficients respective ANN-nodes were fitted using a 3-year time period (July 2000 to June 2003). diff --git "a/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_05.jpg" "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..5bb0a89c3c889b2b557985d1422471550b8be7cf --- /dev/null +++ "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:776e295822dd185998399cbabdf74f82ea3d4b95d7313d3bb018f2603713e09d +size 139861 diff --git "a/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_05.txt" "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..4b9afb8b245d360c5ede8a2739564cd9fdf29fc6 --- /dev/null +++ "b/Figures/Lauer and K\303\266sters - 2024 - Using statistical and machine learning approaches to describe estuarine tidal dynamics/figure_05.txt" @@ -0,0 +1 @@ +Model performance for training (filled bars) and test (patterned bars) given by the RMSE values in % based on the station-specific measured range shown exemplarily at station nos. 2, 4, 7, 10, and 12; front row: selected percentage values for training (according to Figure 4); back row: proportional RMSEs, when testing the regression models with a data matrix of 19 years (13,410 data). 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Four collection sites are identified in Lingayen shorelines, while five are in Manila Bay Mariveles, Bataan shorelines. All collection sites are chosen based on purposive sampling with criteria including accessibility, anthropogenic activity, and presence of aquaculture. diff --git a/Figures/Layson et al. - 2024 - Isolates of Acanthamoeba species in the marine environment in the Philippines/figure_02.jpg b/Figures/Layson et al. - 2024 - Isolates of Acanthamoeba species in the marine environment in the Philippines/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4743b47ef2db6101f0cdd5a303c5a535105b3948 --- /dev/null +++ b/Figures/Layson et al. - 2024 - Isolates of Acanthamoeba species in the marine environment in the Philippines/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4938e245cb8b0ce4244dbadee1da2df2664fd56f689ee89f168db0d6b0078b24 +size 182126 diff --git a/Figures/Layson et al. - 2024 - Isolates of Acanthamoeba species in the marine environment in the Philippines/figure_02.txt b/Figures/Layson et al. - 2024 - Isolates of Acanthamoeba species in the marine environment in the Philippines/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..14292dd1033b895aee57bf0a2d00d77201b83e07 --- /dev/null +++ b/Figures/Layson et al. - 2024 - Isolates of Acanthamoeba species in the marine environment in the Philippines/figure_02.txt @@ -0,0 +1 @@ +Photomicrographs of cystic stages isolated in different sampling sites in this study. FLA isolates in Mariveles, Bataan sampling site (I) and FLA isolates in Lingayen Gulf (II). Cystic stages (blue arrows) show different morphologic appearances. Some cysts show irregular walls (IA-IE, IIA, and IIC), while others appear circular (IF, IG, and IIB). Vegetative forms (black arrows) are observed in Lingayen Gulf isolates IID. Hyphal structures are also observed in some of the culture-grown plates (red arrow). Irregular-walled cystic stages are double-walled, and circular forms are single-walled. 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355.41, + 688.2, + 391.78, + 696.21 + ] + }, + { + "text": "þ", + "bbox_points": [ + 448.89, + 687.92, + 455.05, + 695.92 + ] + } + ] + }, + { + "text": "(þ) positive growth; ( ) no observed growth", + "bbox_points": [ + 64.01, + 704.48, + 194.16, + 710.52 + ], + "words": [ + { + "text": "(þ)", + "bbox_points": [ + 64.01, + 704.48, + 71.86, + 710.52 + ] + }, + { + "text": "positive", + "bbox_points": [ + 78.86, + 704.52, + 99.84, + 710.52 + ] + }, + { + "text": "growth;", + "bbox_points": [ + 101.76, + 704.52, + 122.42, + 710.52 + ] + }, + { + "text": "(", + "bbox_points": [ + 124.44, + 704.52, + 126.06, + 710.52 + ] + }, + { + "text": ")", + "bbox_points": [ + 130.68, + 704.52, + 132.3, + 710.52 + ] + }, + { + "text": "no", + "bbox_points": [ + 139.29, + 704.52, + 146.16, + 710.52 + ] + }, + { + "text": "observed", + "bbox_points": [ + 148.19, + 704.52, + 173.17, + 710.52 + ] + }, + { + "text": "growth", + "bbox_points": [ + 175.12, + 704.52, + 194.16, + 710.52 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Layson et al. - 2024 - Isolates of Acanthamoeba species in the marine environment in the Philippines/table_02.txt b/Figures/Layson et al. - 2024 - Isolates of Acanthamoeba species in the marine environment in the Philippines/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..13e13a64fb97ab9ae76265a70a6e5f7ab15cced2 --- /dev/null +++ b/Figures/Layson et al. - 2024 - Isolates of Acanthamoeba species in the marine environment in the Philippines/table_02.txt @@ -0,0 +1 @@ +Initial BLAST result Acanthamoeba isolates in Mariveles, Bataan, and Lingayen Gulf shorelines diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_01.jpg" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_01.jpg" new file mode 100644 index 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@@ -0,0 +1 @@ +Sketch of the numerical model and notations. diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_02.jpg" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..a2908dbf83afd1af59a409b2b4de717f2e29b43f --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd5d69cc88c2794331bd32c05c99caf1577e0a982758c9ce16eeaa011e26385a +size 81223 diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_02.txt" "b/Figures/Le et al. - 2024 - 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air\342\200\223water stratified flow in sewer pipes/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ce565c3974624aac4c5c2aa82ce5763e67e9cf9805cc93f4299a5731b8bd5cf +size 26809 diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_03.txt" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..0f7633aa7f7c5e9d6d57688161761d26925e5cfe --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_03.txt" @@ -0,0 +1 @@ +Variation of daily sewage flow (Yu 2020). diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_04.jpg" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..a0742ee822a9ac1d2fa9a27e98f08f76318394b1 --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:42abcfc11511a4902463834fbd6bf63b86c05d03e4416a28242791a676810ff7 +size 150900 diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_04.txt" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_04.txt" new file mode 100644 index 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+1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:efcf7d175e196c7868db538a6ef586282cf0ff573a932e52bdf680aa32777d20 +size 58021 diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_05.txt" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..1d447919f891654e8d2aa55a928749a5db01008b --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_05.txt" @@ -0,0 +1 @@ +Comparison of spatial distribution simulation results in Scenario A: (a) air velocity and (b) air pressure. diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_06.jpg" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..e9dca4738396e291aaa34124dc48a2e64a171203 --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:218674953eeaea91a90b868009ee7ba5557b53c9aed0be53d2c3cfa591ddda9d +size 56727 diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_06.txt" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d74b8830249012b60f225e460be82c7f12f54eff --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_06.txt" @@ -0,0 +1 @@ +Influence of the drag coefficient on the airflow field in Scenario A: (a) air velocity and (b) pressure gradient. diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_07.jpg" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_07.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..bfdb2d0f820a2b271981a47d8d5bdc67b32694e7 --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_07.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0e4caeb0c3085187a70ec6fc56355ac18a99539d203555aea4fa13d97ab911fe +size 61992 diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_07.txt" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_07.txt" new file mode 100644 index 0000000000000000000000000000000000000000..75cede5bfb84c995e28ba142476222c56b2032d2 --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_07.txt" @@ -0,0 +1 @@ +Comparison of simulation results between the present model and that in Yu (2020): (a) air velocity and (b) air pressure. diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_08.jpg" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_08.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..5ece3c8aa55ea02790fb3a0e27b19c3f80edd0fb --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_08.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b306bbbf1c6b5f617e91c83e8e3e18de361eb3cbfeb730e35f5cd9ebb3f8d81a +size 40636 diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_08.txt" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_08.txt" new file mode 100644 index 0000000000000000000000000000000000000000..1369ab3f1a85a4dfc73277904b3cf4006f2bb118 --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_08.txt" @@ -0,0 +1 @@ +Comparison of water flow simulations under conditions of large inflow gradients in Scenario M0: (a) IDSVM and (b) the present model. diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_09.jpg" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_09.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..6d1c0772f3247499d2a452d56ded9588c6604d5f --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_09.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6d604d0f42c80abbca1a44c56fc4720c4a066ad86b5e27bf605d9c68a3640d9e +size 37004 diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_09.txt" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_09.txt" new file mode 100644 index 0000000000000000000000000000000000000000..c702b1051c6731ce0617b2d1cce44b1380fc5585 --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_09.txt" @@ -0,0 +1 @@ +The airflow simulating results of the present model in Scenario M0: (a) air velocity and (b) air pressure. diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_10.jpg" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_10.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..3279d45a11a02979e3db9b3dcb73802b2a300e90 --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_10.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:41c68cb82a74ef1dc15dc27eb1ef3fb4c3b6b656605ac30b145a3b03ee705b9f +size 99981 diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_10.txt" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_10.txt" new file mode 100644 index 0000000000000000000000000000000000000000..1b62b339e0028ce3cdf679f30f8eeccf2e59c413 --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_10.txt" @@ -0,0 +1 @@ +Influence of parameters on the air-to-water flow ratio in Scenarios B, C, and D: (a) pipe diameter; (b) pipe slope; and (c) water inflow. diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_11.jpg" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_11.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..acd66e6f9388aa0fd0fefd999f265e3d64e4ff54 --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_11.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:34e1c090c36e6cbe9a0344026c1fbfdcf945d0c5e63461b606e1206cdcff105c +size 84512 diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_11.txt" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_11.txt" new file mode 100644 index 0000000000000000000000000000000000000000..761f15962177b05a0774eba3eb88c3e9bef10056 --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_11.txt" @@ -0,0 +1 @@ +Influence of parameters on the air-to-water flow ratio and the filling ratio in Scenarios B, C, and D: (a, d) pipe diameter; (b, e) slope; and (c, f) water inflow. diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_12.jpg" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_12.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..65397f717107ef1328f9940b1a929b3aee104157 --- /dev/null +++ "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_12.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1949852b20c58e280e15b89981647c7e64dd8606a7af4c96f62914eeb9eaeb98 +size 33400 diff --git "a/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer pipes/figure_12.txt" "b/Figures/Le et al. - 2024 - A dynamic one-dimensional model for simulating unsteady air\342\200\223water stratified flow in sewer 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260.6, + 354.26 + ], + "words": [ + { + "text": "aThe", + "bbox_points": [ + 64.01, + 347.0, + 76.19, + 354.26 + ] + }, + { + "text": "number", + "bbox_points": [ + 78.18, + 348.26, + 99.28, + 354.26 + ] + }, + { + "text": "of", + "bbox_points": [ + 101.25, + 348.26, + 106.56, + 354.26 + ] + }, + { + "text": "units", + "bbox_points": [ + 108.57, + 348.26, + 121.8, + 354.26 + ] + }, + { + "text": "per", + "bbox_points": [ + 123.76, + 348.26, + 132.69, + 354.26 + ] + }, + { + "text": "respective", + "bbox_points": [ + 134.7, + 348.26, + 162.56, + 354.26 + ] + }, + { + "text": "hidden", + "bbox_points": [ + 164.58, + 348.26, + 183.05, + 354.26 + ] + }, + { + "text": "layer", + "bbox_points": [ + 185.04, + 348.26, + 198.02, + 354.26 + ] + }, + { + "text": "for", + "bbox_points": [ + 200.01, + 348.26, + 207.5, + 354.26 + ] + }, + { + "text": "ANN", + "bbox_points": [ + 209.53, + 348.26, + 221.89, + 354.26 + ] + }, + { + "text": "is", + "bbox_points": [ + 223.88, + 348.26, + 228.18, + 354.26 + ] + }, + { + "text": "128", + "bbox_points": [ + 230.23, + 348.26, + 240.16, + 354.26 + ] + }, + { + "text": "64", + "bbox_points": [ + 243.78, + 348.26, + 250.4, + 354.26 + ] + }, + { + "text": "64", + "bbox_points": [ + 253.98, + 348.26, + 260.6, + 354.26 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Le et al. - 2024 - Benchmarking the performance and uncertainty of machine learning models in estimating scour depth at/table_03.txt b/Figures/Le et al. - 2024 - Benchmarking the performance and uncertainty of machine learning models in estimating scour depth at/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5a63e940d3e639b9af8ecf5294edf95ef90e9fb --- /dev/null +++ b/Figures/Le et al. - 2024 - Benchmarking the performance and uncertainty of machine learning models in estimating scour depth at/table_03.txt @@ -0,0 +1 @@ +Descriptive summary of the hyperparameters and their ranges diff --git a/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_01.jpg b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..83edb005cf1415a805b664e962e1638b2624fb11 --- /dev/null +++ b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:252ba20f2deea6f9845c8f1d1080215221cb24ba93ac127499217daf1b3eccd2 +size 24439 diff --git a/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_01.txt b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba38d98ec19eadc61dc3b1606e197f020a107fb8 --- /dev/null +++ b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_01.txt @@ -0,0 +1 @@ +Schedule of OVA challenges for the induction of asthma in mice. diff --git a/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_02.jpg b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d602275b8e9666b1f39d9d0f0f4ed8dae55c99c3 --- /dev/null +++ b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:92ab26eb192c3b9db6906ec02278db211c290118d3703c1c15200831f9118892 +size 131808 diff --git a/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_02.txt b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..07fdf577c3053e767a6cfb018e72542d17c6a335 --- /dev/null +++ b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_02.txt @@ -0,0 +1 @@ +Changes in immune cells by the inhalation of DBPs and swimming exercise. Immune cells were harvested from the mice under the specified conditions outlined in the ‘Materials and Methods’ section. The cells were analyzed with the FACS system, and the data are expressed in the bar graph: (a) Lymphocytes, (b) monocytes, (c) leukocytes, (d) eosinophils, (e) basophils, and (f) neutrophils. Data are expressed as the mean + SD (n ¼ 15–20 for each group). diff --git a/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03.jpg b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..70b4f4a2e77ac8344e6ad968493e4857505d0194 --- /dev/null +++ b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c7b92880aa16854634c6203b6cc7055738f9e1bb4b174425112da793ef08ccf9 +size 182551 diff --git a/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03.txt b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc28f46c5df204c7d6c34aaaf2ca21a98ddd4120 --- /dev/null +++ b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03.txt @@ -0,0 +1 @@ +Changes in T-cell populations by the inhalation of DBPs and swimming exercise. T cells harvested from each tissue of the investigated mice were analyzed with the FACS system: (a) BALF, (b) lymph node, (c) spleen, and (d) thymus. Data are expressed as the mean + SD (n ¼ 15–20 for each group). (continued.). diff --git a/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03_part_2.jpg b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03_part_2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6db9b496954f7930e24dc245a3ac8d99fdeea679 --- /dev/null +++ b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03_part_2.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:abfb96ae946396ccc7a8540550e7ca7ab33564919e6154d3687e52e8834cda3e +size 181905 diff --git a/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03_part_2.txt b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03_part_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..75b9ca4918baa3c02d50f379b31163a652a91d2c --- /dev/null +++ b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_03_part_2.txt @@ -0,0 +1 @@ +Continued. diff --git a/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_04.jpg b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d601487f7e7938e4b00c9b3a1cc2e3d3f343dc96 --- /dev/null +++ b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6c4797f348fc2e6ad390fc2c2ab0aec27e14b9b5ab5cfdb506ae3adc7a5b74ec +size 133281 diff --git a/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_04.txt b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..e74cdad1d05e14ef0aca597450e9cb0cd2f06e5a --- /dev/null +++ b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/figure_04.txt @@ -0,0 +1 @@ +Analysis of cytokines involved in asthma by the inhalation of DBPs and swimming. Secreted cytokines in indicated fluids were analyzed with ELISA: (a) BALF and (b) blood. Data are expressed as the mean + SD (n ¼ 15–20 for each group). diff --git a/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/manifest.json b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..2a7e9f616a15310a0cd0cd14bd0bd050a93eee94 --- /dev/null +++ b/Figures/Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res/manifest.json @@ -0,0 +1,150 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Lee - 2024 - Effect of exposure to disinfection by-products during swimming exercise on asthma-related immune res.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 5, + "items": [ + { + "kind": "figure", + "label": "figure_01", + "page": 2, + "caption": "Schedule of OVA challenges for the induction of asthma in mice.", + "image": "figure_01.jpg", + "caption_file": "figure_01.txt", + "figure_bbox_points": [ + 79.1, + 628.28, + 510.0, + 701.34 + ], + "caption_bbox_points": [ + 43.43, + 702.82, + 318.93, + 711.05 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 24439, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_02", + "page": 4, + "caption": "Changes in immune cells by the inhalation of DBPs and swimming exercise. Immune cells were harvested from the mice under the specified conditions outlined in the ‘Materials and Methods’ section. The cells were analyzed with the FACS system, and the data are expressed in the bar graph: (a) Lymphocytes, (b) monocytes, (c) leukocytes, (d) eosinophils, (e) basophils, and (f) neutrophils. Data are expressed as the mean + SD (n ¼ 15–20 for each group).", + "image": "figure_02.jpg", + "caption_file": "figure_02.txt", + "figure_bbox_points": [ + 54.38, + 77.28, + 534.7, + 546.11 + ], + "caption_bbox_points": [ + 43.43, + 547.6, + 545.5, + 585.81 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 131808, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_03", + "page": 5, + "caption": "Changes in T-cell populations by the inhalation of DBPs and swimming exercise. 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(continued.).", + "image": "figure_03.jpg", + "caption_file": "figure_03.txt", + "figure_bbox_points": [ + 74.67, + 77.28, + 555.29, + 702.36 + ], + "caption_bbox_points": [ + 64.01, + 703.84, + 557.23, + 732.03 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 182551, + "jpeg_quality": 84, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_03_part_2", + "page": 6, + "caption": "Continued.", + "image": "figure_03_part_2.jpg", + "caption_file": "figure_03_part_2.txt", + "figure_bbox_points": [ + 55.06, + 77.28, + 534.03, + 700.77 + ], + "caption_bbox_points": [ + 43.43, + 702.26, + 123.23, + 710.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 181905, + "jpeg_quality": 86, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_04", + "page": 8, + "caption": "Analysis of cytokines involved in asthma by the inhalation of DBPs and swimming. Secreted cytokines in indicated fluids were analyzed with ELISA: (a) BALF and (b) blood. 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(a) Grids; (b) elevation without steel sheet piles; (c) elevation with north steel sheet piles; (d) elevation with north and south steel sheet piles. diff --git a/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_03.jpg b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e94f71c5dcef20b8073eb1af9ef64680d51db693 --- /dev/null +++ b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d85b732e0aa5b2e2b8dd98157dae8cbea339aaa56b0c1020a3f077cee02f1f24 +size 120345 diff --git a/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_03.txt b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..3220d0ad4152aaa29ac1354c7b3f46cca30e4871 --- /dev/null +++ b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_03.txt @@ -0,0 +1 @@ +Comparison of simulated and measured data of typhoons (a) Fanapi, (b) Talim, (c) Megi, and (d) Nesat. 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(a) Case 1, (b) Case 2, (c) Case 3, and (d) Case 4. diff --git a/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_05.jpg b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..af9413ea8b49d79fd37c247a7bb68e53830fe5cf --- /dev/null +++ b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:60cf544e88ef1bba7064ef258c4a48b76a7ca47ce478f7b3b9edffaa4abbe523 +size 181766 diff --git a/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_05.txt b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec94d622f4f8c6f3f8ee66b4746880aabe40cde6 --- /dev/null +++ b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_05.txt @@ -0,0 +1 @@ +Simulated velocity, concentration, and shear stress distribution of initial water level of 28 m under the Q10 flow scenario at peak inflow discharge. (a) Case 1, (b) Case 2, (c) Case 3, and (d) Case 4. diff --git a/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_06.jpg b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c7add3769eab80c095cb44b68f06555020473d35 --- /dev/null +++ b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7f05808b3814c5945178e5f5252c4b7697568638e533309ba41040699b90af1a +size 183838 diff --git a/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_06.txt b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..b4c7a4342d56136d4198181fa1e368d13ab52875 --- /dev/null +++ b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/figure_06.txt @@ -0,0 +1 @@ +Simulated velocity, concentration, and shear stress distribution of initial water level of 28 m under the Q1000 flow scenario at peak inflow discharge. 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"19.44", + "bbox_points": [ + 498.95, + 677.71, + 518.62, + 685.72 + ] + } + ] + }, + { + "text": "Case4-3 165.19 128.94 26,389 78.06 13.11", + "bbox_points": [ + 64.01, + 691.71, + 518.62, + 699.73 + ], + "words": [ + { + "text": "Case4-3", + "bbox_points": [ + 64.01, + 691.71, + 92.15, + 699.73 + ] + }, + { + "text": "165.19", + "bbox_points": [ + 102.67, + 691.71, + 126.75, + 699.73 + ] + }, + { + "text": "128.94", + "bbox_points": [ + 174.73, + 691.71, + 198.81, + 699.73 + ] + }, + { + "text": "26,389", + "bbox_points": [ + 248.82, + 691.71, + 272.9, + 699.73 + ] + }, + { + "text": "78.06", + "bbox_points": [ + 331.71, + 691.71, + 351.37, + 699.73 + ] + }, + { + "text": "13.11", + "bbox_points": [ + 498.95, + 691.71, + 518.62, + 699.73 + ] + } + ] + }, + { + "text": "Case4-4 539.75 394.34 29,333 73.06 6.20", + "bbox_points": [ + 64.01, + 705.71, + 514.2, + 713.73 + ], + "words": [ + { + "text": "Case4-4", + "bbox_points": [ + 64.01, + 705.71, + 92.15, + 713.73 + ] + }, + { + "text": "539.75", + "bbox_points": [ + 102.67, + 705.71, + 126.75, + 713.73 + ] + }, + { + "text": "394.34", + "bbox_points": [ + 174.73, + 705.71, + 198.81, + 713.73 + ] + }, + { + "text": "29,333", + "bbox_points": [ + 248.82, + 705.71, + 272.9, + 713.73 + ] + }, + { + "text": "73.06", + "bbox_points": [ + 331.71, + 705.71, + 351.37, + 713.73 + ] + }, + { + "text": "6.20", + "bbox_points": [ + 498.95, + 705.71, + 514.2, + 713.73 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/table_03.txt b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e7719bdc4be131ee3889bd36623c6453fd9c43c --- /dev/null +++ b/Figures/Lee and Huynh Nguyen - 2024 - Application of artificial countermeasures to enhance desilting efficiency in a reservoir under norma/table_03.txt @@ -0,0 +1 @@ +Simulated results of outflow items and desilting efficiency diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_01.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..505bd29bbfe2f992312e0bca58e54e41764ed530 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f53338a7ac11b61544957ab9ecda6cc0376741a6564e9c9873af89936201538e +size 181013 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers 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(a) Purpose at each dam. (b) Inflow and release at each dam. diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_02.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d3237b315f736ed6d24c6f40e4ef644f7eeb0c72 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5c041e58e05ddd08924de9fd8bfd36bbb0dc008c5416465ab8f86fb2cd733336 +size 78212 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_02.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..5beda1e217f72945da91c5be50432d4bc5b35c85 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_02.txt @@ -0,0 +1 @@ +Description of dams in the Imjin River basins. (a) Purpose and specification at each dam. (b) Dam inflow and release at each dam. diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_03.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e5aa3dc8582922c0392b106cfd55ce78b7044014 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a0b21ccd43f51afbe026aba641a661dddd1eec7f8775da29b47c69384678ad8f +size 102676 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_03.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7d386db02c3485141ed5dd8b59101cb8691987a --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_03.txt @@ -0,0 +1 @@ +Geographical location of the North Han River and Imjin River as shared rivers. diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_04.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b298f7a3b483ce55c5529617d5572368a9691983 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7e7feb4890a4ed9430e1f698166fd8d51e34097b10a4dcb4eee7498a746acf70 +size 180598 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_04.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ba97c49721d045f662f52e3e0976d76f8bae813 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_04.txt @@ -0,0 +1 @@ +Examination of dam operations using hourly and daily average data in the North Han River basins. (a) Time unit: hourly data. (b) Time unit: daily data. diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_05.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5abac9c21259ea72e0b6b7f2c8de959aaf6cba46 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d5d0dbaab6fb142d4d4a6120efbc6e6a9c30a76c350ab85c22c0e6ea15b4f29f +size 183815 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_05.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bb0c5185ca7b44cc9b02405829c0386cfb8eab5 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_05.txt @@ -0,0 +1 @@ +Comparison of time series of instream flow storage using hourly and daily data in the Hwacheon Dam. (a) Comparison of time series of inflow, total release, and instream flow using hourly data. (b) Time series of instream flow shortage using hourly data. (c) Time series of dam storage water level and instream flow using daily average data. diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_06.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..90f6fe719888e889f9a2d2b0f6f40c458cfd3b58 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:539a2bdbdce33e5776c952e94569efa9708e2f591bf7a3e1d05c68cd8cb288d3 +size 109051 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_06.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..8209f03af67b9a6539c1d9a9d94d0cf61e79b573 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_06.txt @@ -0,0 +1 @@ +Comparison of the average shortage ratios for each dam considering the dam linkage operations in the North Han River basin. diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_07.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f918bb88d118a1d7de8613f3a0301fa6f42a985b --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:efbafee635c1882c79d3246c8a208273033b601a3daf29a95c15e7fd802ad1a3 +size 83992 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_07.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..955643ed5afe871c2f14e7fc3a13e235ff89eccb --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_07.txt @@ -0,0 +1 @@ +Comparison of streamflow, instream flow, and shortage of instream flow in the Imnam bridge and Biryong bridge stations. (a) Time series of streamflow and instream flow in the Imnam bridge station. (b) Time series of shortage of instream flow in the Imnam bridge station. (c) Time series of streamflow and instream flow in the Biryong bridge station. (d) Time series of shortage of instream flow in the Biryong bridge station. diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_08.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ef93325a775629a338430e58dbc1fc42b2155c48 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c74b1d58f2effa2b36265146b60199be2a7528370a669690b6d16b6c4b50d312 +size 62343 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_08.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..718620904e1c2c9b5481a90c673638834a6b9fdc --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_08.txt @@ -0,0 +1 @@ +Comparison of instream flow shortages in the Biryong bridge station during the dry seasons (2014–2015). (a) Time series of shortage of instream flow in the Biryong bridge and Sarang þ Imjin bridge stations. (b) Time series of shortage of instream flow in the Sarang þ Imjin bridge stations and Biryong bridge station þ basin inflow. diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_09.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b2f6ccc0f1d786562a7f20b799a99c1d6c3197f9 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1c2ab113e28f77c2ab768ae9a458f5c3248865271f2181df9da62465fbd1cd83 +size 45072 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_09.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..f611b44d59058ecf3248bb24d51b0de924e9eb0e --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_09.txt @@ -0,0 +1 @@ +Effective storage utilization plan to secure instream flow in the North Han River basins by the linkage operation of the Peace Dam to Hwacheon Dam. diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_10.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f65630e537fc40f5800192a9fe58a967161c8e68 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:48a7a938fbed3a4bf3d55743a58b05d8f1b0976de8b858835b909adab78ed634 +size 72216 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_10.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..af420f3026c231e59ac7399248602ca267da8e62 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_10.txt @@ -0,0 +1 @@ +The plan of the flood water level change of the Hwacheon Dam to secure daily shortage amounts of instream flow. (a) Dam cross- sectional diagram for the flood water level change plan. (b) Water level-storage relation. diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_11.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_11.jpg new file mode 100644 index 0000000000000000000000000000000000000000..81358bf3ebec9ce34860dcff8e71c691993d33d8 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_11.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e0ba8b0b4b1bb19cbe0e0c055a30fbe8946fa63f4e24b96b2aaf19fdc66cfeb4 +size 121424 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_11.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_11.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c691548fb2835dc23fe1d987a9b6560b7362777 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_11.txt @@ -0,0 +1 @@ +Description of the flood water level change plan based on the linkage operation of the Peace Dam and Hwacheon Dam to secure the daily shortage amounts of instream flow. (a) Dam cross-sectional diagram for flood water level changes based on the linkage operation of the Peace Dam and Hwacheon Dam. (b) Water level-storage relations of the Peace Dam (left) and Hwacheon Dam (right). diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_12.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_12.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cb60d09825523b8fb942bdd103cdc374c9bafc11 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_12.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dd176a0486095d585b8d163494601a5e93386048110ec1b43ab472402d465068 +size 56233 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_12.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_12.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d455ba669da9fe7f161e7e4448b92c7c4453e95 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/figure_12.txt @@ -0,0 +1 @@ +The concept of the application of payments for ecosystem services (PES) to secure the shortage amounts of instream flow. diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/graphic_abstract.jpg b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a8afc731f88dc5fc56689b757fe18fb7b39d27be --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:36bbd502bc9c613f7bec77c07a92223f9c3d78f36a47bb3399d802b66967927c +size 183447 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/manifest.json b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9f2212d25a83482786866c6c37d2dfd20a042331 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/manifest.json @@ -0,0 +1,766 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 27, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 37.43, + 84.99, + 530.8, + 406.2 + ], + "caption_bbox_points": [ + 43.43, + 79.48, + 131.21, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 183447, + "jpeg_quality": 82, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_01", + "page": 4, + "caption": "Description of the North Han River basins", + "image": "table_01.jpg", + "caption_file": "table_01.txt", + "figure_bbox_points": [ + 40.43, + 85.16, + 548.44, + 217.01 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 231.77, + 85.16 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 37953, + "jpeg_quality": 88, + "data_file": "table_01.json", + "structure_extracted": false, + "row_count": 6, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 4, + "caption": "Purpose and specification and inflow and release at each dam in the North Han River basins. 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44.6", + "bbox_points": [ + 128.75, + 695.4, + 502.92, + 703.7 + ], + "words": [ + { + "text": "After", + "bbox_points": [ + 128.75, + 695.68, + 146.98, + 703.7 + ] + }, + { + "text": "(2008∼)", + "bbox_points": [ + 149.39, + 695.4, + 177.87, + 703.7 + ] + }, + { + "text": "200.7⇩", + "bbox_points": [ + 252.23, + 695.4, + 277.26, + 703.7 + ] + }, + { + "text": "117.36", + "bbox_points": [ + 324.91, + 695.68, + 348.99, + 703.7 + ] + }, + { + "text": "52.4⇩", + "bbox_points": [ + 414.99, + 695.4, + 435.6, + 703.7 + ] + }, + { + "text": "44.6", + "bbox_points": [ + 487.67, + 695.68, + 502.92, + 703.7 + ] + } + ] + }, + { + "text": "Total period (2001–2020) 223.0 119.4 71.9 46.0", + "bbox_points": [ + 128.75, + 705.89, + 502.92, + 714.18 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 128.75, + 706.17, + 147.21, + 714.18 + ] + }, + { + "text": "period", + "bbox_points": [ + 149.61, + 706.17, + 172.83, + 714.18 + ] + }, + { + "text": "(2001–2020)", + "bbox_points": [ + 175.18, 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621.01, + 545.47, + 627.01 + ], + "words": [ + { + "text": "Item", + "bbox_points": [ + 43.43, + 621.01, + 57.67, + 627.01 + ] + }, + { + "text": "Imjin", + "bbox_points": [ + 329.67, + 621.01, + 345.28, + 627.01 + ] + }, + { + "text": "bridge", + "bbox_points": [ + 347.3, + 621.01, + 367.29, + 627.01 + ] + }, + { + "text": "Sarang", + "bbox_points": [ + 411.87, + 621.01, + 433.36, + 627.01 + ] + }, + { + "text": "bridge", + "bbox_points": [ + 435.29, + 621.01, + 455.27, + 627.01 + ] + }, + { + "text": "Biryong", + "bbox_points": [ + 499.86, + 621.01, + 523.53, + 627.01 + ] + }, + { + "text": "bridge", + "bbox_points": [ + 525.48, + 621.01, + 545.47, + 627.01 + ] + } + ] + }, + { + "text": "Station code 1,021,680 1,022,680 1,023,660", + "bbox_points": [ + 43.43, + 636.15, + 534.77, + 644.17 + ], + "words": [ + { + "text": "Station", + "bbox_points": [ + 43.43, + 636.15, + 68.99, + 644.17 + ] + }, + { + "text": "code", + "bbox_points": [ + 71.38, + 636.15, + 88.53, + 644.17 + ] + }, + { + "text": "1,021,680", + "bbox_points": [ + 329.67, + 636.15, + 364.58, + 644.17 + ] + }, + { + "text": "1,022,680", + "bbox_points": [ + 411.87, + 636.15, + 446.78, + 644.17 + ] + }, + { + "text": "1,023,660", + "bbox_points": [ + 499.86, + 636.15, + 534.77, + 644.17 + ] + } + ] + }, + { + "text": "Official instream flow (m3/s) 7.32 6.04 11.84", + "bbox_points": [ + 43.43, + 648.68, + 519.52, + 658.17 + ], + "words": [ + { + "text": "Official", + "bbox_points": [ + 43.43, + 649.88, + 70.25, + 658.17 + ] + }, + { + "text": "instream", + "bbox_points": [ + 72.62, + 650.16, + 103.54, + 658.17 + ] + }, + { + "text": "flow", + "bbox_points": [ + 105.9, + 649.88, + 121.36, + 658.17 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 123.76, + 648.68, + 146.45, + 658.17 + ] + }, + { + "text": "7.32", + "bbox_points": [ + 329.67, + 650.16, + 344.92, + 658.17 + ] + }, + { + "text": "6.04", + "bbox_points": [ + 411.87, + 650.16, + 427.12, + 658.17 + ] + }, + { + "text": "11.84", + "bbox_points": [ + 499.86, + 650.16, + 519.52, + 658.17 + ] + } + ] + }, + { + "text": "Total shortage amounts of instream flow (m3/s) 2,612.2 1,132.7 450.2", + "bbox_points": [ + 43.43, + 662.69, + 525.65, + 672.18 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 664.16, + 61.89, + 672.18 + ] + }, + { + "text": "shortage", + "bbox_points": [ + 64.29, + 664.16, + 94.83, + 672.18 + ] + }, + { + "text": "amounts", + "bbox_points": [ + 97.17, + 664.16, + 128.13, + 672.18 + ] + }, + { + "text": "of", + "bbox_points": [ + 130.51, + 664.16, + 137.58, + 672.18 + ] + }, + { + "text": "instream", + "bbox_points": [ + 139.92, + 664.16, + 170.9, + 672.18 + ] + }, + { + "text": "flow", + "bbox_points": [ + 173.25, + 663.88, + 188.71, + 672.18 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 191.11, + 662.69, + 213.8, + 672.18 + ] + }, + { + "text": "2,612.2", + "bbox_points": [ + 335.85, + 664.16, + 361.93, + 672.18 + ] + }, + { + "text": "1,132.7", + "bbox_points": [ + 418.0, + 664.16, + 444.08, + 672.18 + ] + }, + { + "text": "450.2", + "bbox_points": [ + 505.98, + 664.16, + 525.65, + 672.18 + ] + } + ] + }, + { + "text": "Total period of instream flow shortage (day) 784 402 169", + "bbox_points": [ + 43.43, + 677.88, + 519.23, + 686.18 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 678.16, + 61.89, + 686.18 + ] + }, + { + "text": "period", + "bbox_points": [ + 64.29, + 678.16, + 87.51, + 686.18 + ] + }, + { + "text": "of", + "bbox_points": [ + 89.86, + 678.16, + 96.93, + 686.18 + ] + }, + { + "text": "instream", + "bbox_points": [ + 99.33, + 678.16, + 130.25, + 686.18 + ] + }, + { + "text": "flow", + "bbox_points": [ + 132.61, + 677.88, + 148.12, + 686.18 + ] + }, + { + "text": "shortage", + "bbox_points": [ + 150.46, + 678.16, + 181.01, + 686.18 + ] + }, + { + "text": "(day)", + "bbox_points": [ + 183.35, + 678.16, + 201.43, + 686.18 + ] + }, + { + "text": "784", + "bbox_points": [ + 335.85, + 678.16, + 349.1, + 686.18 + ] + }, + { + "text": "402", + "bbox_points": [ + 418.0, + 678.16, + 431.24, + 686.18 + ] + }, + { + "text": "169", + "bbox_points": [ + 505.98, + 678.16, + 519.23, + 686.18 + ] + } + ] + }, + { + "text": "Average shortage amounts of instream flow (m3/s) 3.3 2.8 2.7", + "bbox_points": [ + 43.43, + 690.64, + 516.82, + 700.18 + ], + "words": [ + { + "text": "Average", + "bbox_points": [ + 43.43, + 692.17, + 72.2, + 700.18 + ] + }, + { + "text": "shortage", + "bbox_points": [ + 74.61, + 692.17, + 105.15, + 700.18 + ] + }, + { + "text": "amounts", + "bbox_points": [ + 107.49, + 692.17, + 138.37, + 700.18 + ] + }, + { + "text": "of", + "bbox_points": [ + 140.77, + 692.17, + 147.84, + 700.18 + ] + }, + { + "text": "instream", + "bbox_points": [ + 150.24, + 692.17, + 181.22, + 700.18 + ] + }, + { + "text": "flow", + "bbox_points": [ + 183.57, + 691.89, + 199.03, + 700.18 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 201.38, + 690.64, + 224.06, + 700.18 + ] + }, + { + "text": "3.3", + "bbox_points": [ + 335.85, + 692.17, + 346.68, + 700.18 + ] + }, + { + "text": "2.8", + "bbox_points": [ + 418.0, + 692.17, + 428.83, + 700.18 + ] + }, + { + "text": "2.7", + "bbox_points": [ + 505.98, + 692.17, + 516.82, + 700.18 + ] + } + ] + }, + { + "text": "Annual total shortage amounts of instream flow (million tons/year) 4.38 3.70 3.50", + "bbox_points": [ + 43.43, + 705.89, + 515.11, + 714.19 + ], + "words": [ + { + "text": "Annual", + "bbox_points": [ + 43.43, + 706.17, + 69.98, + 714.19 + ] + }, + { + "text": "total", + "bbox_points": [ + 72.34, + 706.17, + 88.56, + 714.19 + ] + }, + { + "text": "shortage", + "bbox_points": [ + 90.94, + 706.17, + 121.48, + 714.19 + ] + }, + { + "text": "amounts", + "bbox_points": [ + 123.82, + 706.17, + 154.78, + 714.19 + ] + }, + { + "text": "of", + "bbox_points": [ + 157.15, + 706.17, + 164.23, + 714.19 + ] + }, + { + "text": "instream", + "bbox_points": [ + 166.62, + 706.17, + 197.54, + 714.19 + ] + }, + { + "text": "flow", + "bbox_points": [ + 199.9, + 705.89, + 215.36, + 714.19 + ] + }, + { + "text": "(million", + "bbox_points": [ + 217.76, + 706.17, + 246.13, + 714.19 + ] + }, + { + "text": "tons/year)", + "bbox_points": [ + 248.49, + 706.17, + 285.11, + 714.19 + ] + }, + { + "text": "4.38", + "bbox_points": [ + 329.67, + 706.17, + 344.92, + 714.19 + ] + }, + { + "text": "3.70", + "bbox_points": [ + 411.87, + 706.17, + 427.12, + 714.19 + ] + }, + { + "text": "3.50", + "bbox_points": [ + 499.86, + 706.17, + 515.11, + 714.19 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/table_10.txt b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/table_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa8301cbb87e08b0500b43c2f168b55556c2bada --- /dev/null +++ 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Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/table_11.json b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/table_11.json new file mode 100644 index 0000000000000000000000000000000000000000..acfcc869805185cd87dc27af2b45a1417739cc0a --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/table_11.json @@ -0,0 +1,1036 @@ +{ + "kind": "table", + "label": "table_11", + "number": 11, + "caption": "Shortage amounts of instream flow at each station in the Imjin River basins according to the Hwanggang dam operation in North", + "page": 17, + "table_bbox_points": [ + 61.01, + 546.75, + 569.02, + 725.09 + ], + "caption_bbox_points": [ + 64.01, + 538.53, + 566.05, + 546.75 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 13, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Korea", + "bbox_points": [ + 105.39, + 548.73, + 126.07, + 556.73 + ], + "words": [ + { + "text": "Korea", + "bbox_points": [ + 105.39, + 548.73, + 126.07, + 556.73 + ] + } + ] + }, + { + "text": "Imjin bridge station Biryong bridge station", + "bbox_points": [ + 223.03, + 571.35, + 473.14, + 577.35 + ], + "words": [ + { + "text": "Imjin", + "bbox_points": [ + 223.03, + 571.35, + 238.64, + 577.35 + ] + }, + { + "text": "bridge", + "bbox_points": [ + 240.6, + 571.35, + 260.59, + 577.35 + ] + }, + { + "text": "station", + "bbox_points": [ + 262.6, + 571.35, + 284.37, + 577.35 + ] + }, + { + "text": "Biryong", + "bbox_points": [ + 403.76, + 571.35, + 427.44, + 577.35 + ] + }, + { + "text": "bridge", + "bbox_points": [ + 429.39, + 571.35, + 449.38, + 577.35 + ] + }, + { + "text": "station", + "bbox_points": [ + 451.33, + 571.35, + 473.14, + 577.35 + ] + } + ] + }, + { + "text": "Sarang Before After Before After", + "bbox_points": [ + 181.81, + 586.32, + 500.88, + 592.32 + ], + "words": [ + { + "text": "Sarang", + "bbox_points": [ + 181.81, + 586.32, + 203.3, + 592.32 + ] + }, + { + "text": "Before", + "bbox_points": [ + 258.18, + 586.32, + 278.67, + 592.32 + ] + }, + { + "text": "After", + "bbox_points": [ + 310.56, + 586.32, + 326.49, + 592.32 + ] + }, + { + "text": "Before", + "bbox_points": [ + 432.51, + 586.32, + 453.0, + 592.32 + ] + }, + { + "text": "After", + "bbox_points": [ + 484.95, + 586.32, + 500.88, + 592.32 + ] + } + ] + }, + { + "text": "bridge Hwanggang Hwanggang Change ratio Hwanggang Hwanggang Change", + "bbox_points": [ + 181.81, + 595.33, + 558.31, + 601.33 + ], + "words": [ + { + "text": "bridge", + "bbox_points": [ + 181.81, + 595.33, + 201.8, + 601.33 + ] + }, + { + "text": "Hwanggang", + "bbox_points": [ + 258.18, + 595.33, + 294.93, + 601.33 + ] + }, + { + "text": "Hwanggang", + "bbox_points": [ + 310.56, + 595.33, + 347.43, + 601.33 + ] + }, + { + "text": "Change", + "bbox_points": [ + 360.68, + 595.33, + 383.98, + 601.33 + ] + }, + { + "text": "ratio", + "bbox_points": [ + 385.97, + 595.33, + 400.45, + 601.33 + ] + }, + { + "text": "Hwanggang", + "bbox_points": [ + 432.51, + 595.33, + 469.38, + 601.33 + ] + }, + { + "text": "Hwanggang", + "bbox_points": [ + 484.95, + 595.33, + 521.7, + 601.33 + ] + }, + { + "text": "Change", + "bbox_points": [ + 535.01, + 595.33, + 558.31, + 601.33 + ] + } + ] + }, + { + "text": "Item station Total Dam Dam (%) Total Dam Dam ratio (%)", + "bbox_points": [ + 64.01, + 604.34, + 560.68, + 610.35 + ], + "words": [ + { + "text": "Item", + "bbox_points": [ + 64.01, + 604.35, + 78.25, + 610.35 + ] + }, + { + "text": "station", + "bbox_points": [ + 181.81, + 604.35, + 203.58, + 610.35 + ] + }, + { + "text": "Total", + "bbox_points": [ + 223.03, + 604.35, + 238.45, + 610.35 + ] + }, + { + "text": "Dam", + "bbox_points": [ + 258.18, + 604.35, + 272.18, + 610.35 + ] + }, + { + "text": "Dam", + "bbox_points": [ + 310.56, + 604.34, + 324.56, + 610.34 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 360.68, + 604.34, + 369.85, + 610.34 + ] + }, + { + "text": "Total", + "bbox_points": [ + 403.77, + 604.34, + 419.19, + 610.34 + ] + }, + { + "text": "Dam", + "bbox_points": [ + 432.51, + 604.34, + 446.51, + 610.34 + ] + }, + { + "text": "Dam", + "bbox_points": [ + 484.95, + 604.34, + 498.95, + 610.34 + ] + }, + { + "text": "ratio", + "bbox_points": [ + 535.01, + 604.34, + 549.5, + 610.34 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 551.51, + 604.34, + 560.68, + 610.34 + ] + } + ] + }, + { + "text": "Streamflow (m3/s) 75.8 110.7 147.4 93.0 36.9% 207.6 269.1 174.0 35.3%", + "bbox_points": [ + 64.01, + 617.96, + 563.38, + 627.5 + ], + "words": [ + { + "text": "Streamflow", + "bbox_points": [ + 64.01, + 619.21, + 104.86, + 627.5 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 107.26, + 617.96, + 129.95, + 627.5 + ] + }, + { + "text": "75.8", + "bbox_points": [ + 181.81, + 619.49, + 197.06, + 627.5 + ] + }, + { + "text": "110.7", + "bbox_points": [ + 223.03, + 619.49, + 242.69, + 627.5 + ] + }, + { + "text": "147.4", + "bbox_points": [ + 258.18, + 619.49, + 277.84, + 627.5 + ] + }, + { + "text": "93.0", + "bbox_points": [ + 310.56, + 619.49, + 325.81, + 627.5 + ] + }, + { + "text": "36.9%", + "bbox_points": [ + 366.8, + 619.49, + 389.05, + 627.5 + ] + }, + { + "text": "207.6", + "bbox_points": [ + 403.77, + 619.49, + 423.43, + 627.5 + ] + }, + { + "text": "269.1", + "bbox_points": [ + 432.51, + 619.49, + 452.17, + 627.5 + ] + }, + { + "text": "174.0", + "bbox_points": [ + 484.95, + 619.49, + 504.61, + 627.5 + ] + }, + { + "text": "35.3%", + "bbox_points": [ + 541.13, + 619.49, + 563.38, + 627.5 + ] + } + ] + }, + { + "text": "Instream flow (m3/s) 6.04 7.32 7.32 7.32 11.84 11.84 11.84", + "bbox_points": [ + 64.01, + 631.96, + 504.61, + 641.51 + ], + "words": [ + { + "text": "Instream", + "bbox_points": [ + 64.01, + 633.49, + 95.78, + 641.51 + ] + }, + { + "text": "flow", + "bbox_points": [ + 98.14, + 633.21, + 113.59, + 641.51 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 115.99, + 631.96, + 138.68, + 641.51 + ] + }, + { + "text": "6.04", + "bbox_points": [ + 181.81, + 633.49, + 197.06, + 641.51 + ] + }, + { + "text": "7.32", + "bbox_points": [ + 223.03, + 633.49, + 238.28, + 641.51 + ] + }, + { + "text": "7.32", + "bbox_points": [ + 258.18, + 633.49, + 273.43, + 641.51 + ] + }, + { + "text": "7.32", + "bbox_points": [ + 310.56, + 633.49, + 325.81, + 641.51 + ] + }, + { + "text": "11.84", + "bbox_points": [ + 403.77, + 633.49, + 423.43, + 641.51 + ] + }, + { + "text": "11.84", + "bbox_points": [ + 432.51, + 633.49, + 452.17, + 641.51 + ] + }, + { + "text": "11.84", + "bbox_points": [ + 484.95, + 633.49, + 504.61, + 641.51 + ] + } + ] + }, + { + "text": "Total shortage amounts of 1,132.7 2,612.2 0 2,612.2 450.2 3.1 447.11 14,516%", + "bbox_points": [ + 64.01, + 647.49, + 566.09, + 655.51 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 647.49, + 82.47, + 655.51 + ] + }, + { + "text": "shortage", + "bbox_points": [ + 84.87, + 647.49, + 115.41, + 655.51 + ] + }, + { + "text": "amounts", + "bbox_points": [ + 117.75, + 647.49, + 148.63, + 655.51 + ] + }, + { + "text": "of", + "bbox_points": [ + 151.03, + 647.49, + 158.1, + 655.51 + ] + }, + { + "text": "1,132.7", + "bbox_points": [ + 187.94, + 647.49, + 214.02, + 655.51 + ] + }, + { + "text": "2,612.2", + "bbox_points": [ + 229.15, + 647.49, + 255.23, + 655.51 + ] + }, + { + "text": "0", + "bbox_points": [ + 258.18, + 647.49, + 262.6, + 655.51 + ] + }, + { + "text": "2,612.2", + "bbox_points": [ + 316.74, + 647.49, + 342.82, + 655.51 + ] + }, + { + "text": "450.2", + "bbox_points": [ + 409.89, + 647.49, + 429.55, + 655.51 + ] + }, + { + "text": "3.1", + "bbox_points": [ + 438.69, + 647.49, + 449.52, + 655.51 + ] + }, + { + "text": "447.11", + "bbox_points": [ + 491.07, + 647.49, + 515.15, + 655.51 + ] + }, + { + "text": "14,516%", + "bbox_points": [ + 535.01, + 647.49, + 566.09, + 655.51 + ] + } + ] + }, + { + "text": "instream flow (m3/s)", + "bbox_points": [ + 72.0, + 656.45, + 145.82, + 666.0 + ], + "words": [ + { + "text": "instream", + "bbox_points": [ + 72.0, + 657.98, + 102.92, + 666.0 + ] + }, + { + "text": "flow", + "bbox_points": [ + 105.28, + 657.7, + 120.79, + 666.0 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 123.14, + 656.45, + 145.82, + 666.0 + ] + } + ] + }, + { + "text": "Total period of instream flow 402 784 0 784 169 1 168 16,800%", + "bbox_points": [ + 64.01, + 671.7, + 566.09, + 680.0 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 671.98, + 82.47, + 680.0 + ] + }, + { + "text": "period", + "bbox_points": [ + 84.87, + 671.98, + 108.09, + 680.0 + ] + }, + { + "text": "of", + "bbox_points": [ + 110.44, + 671.98, + 117.51, + 680.0 + ] + }, + { + "text": "instream", + "bbox_points": [ + 119.91, + 671.98, 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"bbox_points": [ + 153.81, + 222.86, + 173.47, + 230.88 + ] + }, + { + "text": "260.72", + "bbox_points": [ + 267.65, + 222.86, + 291.73, + 230.88 + ] + }, + { + "text": "10.51", + "bbox_points": [ + 394.52, + 222.86, + 414.19, + 230.88 + ] + }, + { + "text": "28.17", + "bbox_points": [ + 508.42, + 222.86, + 528.08, + 230.88 + ] + } + ] + }, + { + "text": "8 36 96.4 8.69 23.27", + "bbox_points": [ + 43.43, + 236.87, + 528.08, + 244.88 + ], + "words": [ + { + "text": "8", + "bbox_points": [ + 43.43, + 236.87, + 47.84, + 244.88 + ] + }, + { + "text": "36", + "bbox_points": [ + 153.81, + 236.87, + 162.64, + 244.88 + ] + }, + { + "text": "96.4", + "bbox_points": [ + 267.65, + 236.87, + 282.89, + 244.88 + ] + }, + { + "text": "8.69", + "bbox_points": [ + 394.52, + 236.87, + 409.77, + 244.88 + ] + }, + { + "text": "23.27", + "bbox_points": [ + 508.42, + 236.87, + 528.08, + 244.88 + ] + } + ] + }, + { + "text": "9 33.34 86.43 10.4 26.96", + "bbox_points": [ + 43.43, + 250.87, + 528.08, + 258.88 + ], + "words": [ + { + "text": "9", + "bbox_points": [ + 43.43, + 250.87, + 47.84, + 258.88 + ] + }, + { + "text": "33.34", + "bbox_points": [ + 153.81, + 250.87, + 173.47, + 258.88 + ] + }, + { + "text": "86.43", + "bbox_points": [ + 267.65, + 250.87, + 287.31, + 258.88 + ] + }, + { + "text": "10.4", + "bbox_points": [ + 394.52, + 250.87, + 409.77, + 258.88 + ] + }, + { + "text": "26.96", + "bbox_points": [ + 508.42, + 250.87, + 528.08, + 258.88 + ] + } + ] + }, + { + "text": "10 40.26 107.81 10.2 27.32", + "bbox_points": [ + 43.43, + 264.87, + 528.08, + 272.89 + ], + "words": [ + { + "text": "10", + "bbox_points": [ + 43.43, + 264.87, + 52.26, + 272.89 + ] + }, + { + "text": "40.26", + "bbox_points": [ + 153.81, + 264.87, + 173.47, + 272.89 + ] + }, + { + "text": "107.81", + "bbox_points": [ + 267.65, + 264.87, + 291.73, + 272.89 + ] + }, + { + "text": "10.2", + "bbox_points": [ + 394.52, + 264.87, + 409.77, + 272.89 + ] + }, + { + "text": "27.32", + "bbox_points": [ + 508.42, + 264.87, + 528.08, + 272.89 + ] + } + ] + }, + { + "text": "11 85.69 222.11 10 25.92", + "bbox_points": [ + 43.43, + 278.87, + 528.08, + 286.89 + ], + "words": [ + { + "text": "11", + "bbox_points": [ + 43.43, + 278.87, + 52.26, + 286.89 + ] + }, + { + "text": "85.69", + "bbox_points": [ + 153.81, + 278.87, + 173.47, + 286.89 + ] + }, + { + "text": "222.11", + "bbox_points": [ + 267.65, + 278.87, + 291.73, + 286.89 + ] + }, + { + "text": "10", + "bbox_points": [ + 394.52, + 278.87, + 403.36, + 286.89 + ] + }, + { + "text": "25.92", + "bbox_points": [ + 508.42, + 278.87, + 528.08, + 286.89 + ] + } + ] + }, + { + "text": "12 31.89 85.38 9.66 25.85", + "bbox_points": [ + 43.43, + 292.88, + 528.08, + 300.89 + ], + "words": [ + { + "text": "12", + "bbox_points": [ + 43.43, + 292.88, + 52.26, + 300.89 + ] + }, + { + "text": "31.89", + "bbox_points": [ + 153.81, + 292.88, + 173.47, + 300.89 + ] + }, + { + "text": "85.38", + "bbox_points": [ + 267.65, + 292.88, + 287.31, + 300.89 + ] 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"words": [ + { + "text": "Recreation/Ecotourism", + "bbox_points": [ + 64.01, + 534.84, + 147.67, + 542.86 + ] + }, + { + "text": "3.8", + "bbox_points": [ + 197.4, + 534.84, + 208.24, + 542.86 + ] + }, + { + "text": "107.7", + "bbox_points": [ + 331.82, + 534.84, + 351.49, + 542.86 + ] + }, + { + "text": "758.4", + "bbox_points": [ + 479.85, + 534.84, + 499.51, + 542.86 + ] + } + ] + }, + { + "text": "Summation 83.2 720.1 2,370.5", + "bbox_points": [ + 64.01, + 548.85, + 505.93, + 556.86 + ], + "words": [ + { + "text": "Summation", + "bbox_points": [ + 64.01, + 548.85, + 105.44, + 556.86 + ] + }, + { + "text": "83.2", + "bbox_points": [ + 197.4, + 548.85, + 212.65, + 556.86 + ] + }, + { + "text": "720.1", + "bbox_points": [ + 331.82, + 548.85, + 351.49, + 556.86 + ] + }, + { + "text": "2,370.5", + "bbox_points": [ + 479.85, + 548.85, + 505.93, + 556.86 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream 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0000000000000000000000000000000000000000..de8e435f0f523442a1680b3f1fe4ed4fe6c11ad5 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/table_14.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2366cb9669e93294449fee12805c66ee8d729395ee6dedf0dfa575cb5a06e46 +size 48854 diff --git a/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/table_14.json b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/table_14.json new file mode 100644 index 0000000000000000000000000000000000000000..04fd6c656cf26282437c1268671731dfdfa66627 --- /dev/null +++ b/Figures/Lee and Jang - 2024 - Evaluation of water shortage and instream flows of shared rivers in South Korea according to the dam/table_14.json @@ -0,0 +1,747 @@ +{ + "kind": "table", + "label": "table_14", + "number": 14, + "caption": "Estimated costs for each plan to secure the shortage amount of instream flow in the North Han River basins based on the demand", + "page": 21, + "table_bbox_points": [ + 61.01, + 606.96, + 569.02, + 724.3 + ], + "caption_bbox_points": [ + 64.01, + 598.73, + 566.07, + 606.96 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 8, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "PES side", + "bbox_points": [ + 104.71, + 608.94, + 135.61, + 616.94 + ], + "words": [ + { + "text": "PES", + "bbox_points": [ + 104.71, + 608.94, + 118.21, + 616.94 + ] + }, + { + "text": "side", + "bbox_points": [ + 120.87, + 608.94, + 135.61, + 616.94 + ] + } + ] + }, + { + "text": "Plan Shortage amounts Cost", + "bbox_points": [ + 64.01, + 631.56, + 500.33, + 637.56 + ], + "words": [ + { + "text": "Plan", + 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Modclark model. diff --git a/Figures/Lee et al. - 2024 - Effect of mountainous rainfall on uncertainty in flood model parameter estimation/figure_03.jpg b/Figures/Lee et al. - 2024 - Effect of mountainous rainfall on uncertainty in flood model parameter estimation/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..501822748f2e11a2ddbe91d11d3d1853352c0b32 --- /dev/null +++ b/Figures/Lee et al. - 2024 - Effect of mountainous rainfall on uncertainty in flood model parameter estimation/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:34c73270c4e6be45c7b6d9fe544ebb8fa8a8ac791c4ba1799778c298a7806c42 +size 174684 diff --git a/Figures/Lee et al. - 2024 - Effect of mountainous rainfall on uncertainty in flood model parameter estimation/figure_03.txt b/Figures/Lee et al. - 2024 - Effect of mountainous rainfall on uncertainty in flood model parameter estimation/figure_03.txt new file mode 100644 index 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+ { + "text": "tourism,", + "bbox_points": [ + 386.81, + 526.39, + 416.36, + 534.41 + ] + }, + { + "text": "and", + "bbox_points": [ + 418.73, + 526.39, + 432.21, + 534.41 + ] + }, + { + "text": "other", + "bbox_points": [ + 434.61, + 526.39, + 453.66, + 534.41 + ] + }, + { + "text": "activities", + "bbox_points": [ + 455.87, + 526.39, + 487.46, + 534.41 + ] + } + ] + }, + { + "text": "Terrestrial Ecological Forest coverage rate Abundance of forest resources in the region 0.2", + "bbox_points": [ + 64.01, + 540.4, + 551.57, + 548.41 + ], + "words": [ + { + "text": "Terrestrial", + "bbox_points": [ + 64.01, + 540.4, + 100.55, + 548.41 + ] + }, + { + "text": "Ecological", + "bbox_points": [ + 127.45, + 540.4, + 165.15, + 548.41 + ] + }, + { + "text": "Forest", + "bbox_points": [ + 192.87, + 540.4, + 214.72, + 548.41 + ] + }, + { + "text": "coverage", + "bbox_points": [ + 217.13, + 540.4, + 248.62, + 548.41 + ] + }, + { + "text": "rate", + "bbox_points": [ + 250.98, + 540.4, + 264.58, + 548.41 + ] + }, + { + "text": "Abundance", + "bbox_points": [ + 343.9, + 540.4, + 385.01, + 548.41 + ] + }, + { + "text": "of", + "bbox_points": [ + 387.38, + 540.4, + 394.45, + 548.41 + ] + }, + { + "text": "forest", + "bbox_points": [ + 396.85, + 540.4, + 416.6, + 548.41 + ] + }, + { + "text": "resources", + "bbox_points": [ + 419.02, + 540.4, + 452.79, + 548.41 + ] + }, + { + "text": "in", + "bbox_points": [ + 455.13, + 540.4, + 462.2, + 548.41 + ] + }, + { + "text": "the", + "bbox_points": [ + 464.6, + 540.4, + 475.92, + 548.41 + ] + }, + { + "text": "region", + "bbox_points": [ + 478.32, + 540.4, + 500.97, + 548.41 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 540.74, + 540.4, + 551.57, + 548.41 + ] + } + ] + }, + { + "text": "ecosystem pattern (0.3) Landscape fragmentation Degree of fragmentation of ecosystems within the 0.2", + "bbox_points": [ + 72.0, + 550.94, + 551.57, + 558.96 + ], + "words": [ + { + "text": "ecosystem", + "bbox_points": [ + 72.0, + 550.94, + 108.25, + 558.96 + ] + }, + { + "text": "pattern", + "bbox_points": [ + 135.44, + 550.94, + 161.06, + 558.96 + ] + }, + { + "text": "(0.3)", + "bbox_points": [ + 163.45, + 550.94, + 179.76, + 558.96 + ] + }, + { + "text": "Landscape", + "bbox_points": [ + 192.87, + 550.94, + 231.66, + 558.96 + ] + }, + { + "text": "fragmentation", + "bbox_points": [ + 234.08, + 550.94, + 284.19, + 558.96 + ] + }, + { + "text": "Degree", + "bbox_points": [ + 343.9, + 550.94, + 369.42, + 558.96 + ] + }, + { + "text": "of", + "bbox_points": [ + 371.79, + 550.94, + 378.86, + 558.96 + ] + }, + { + "text": "fragmentation", + "bbox_points": [ + 381.26, + 550.94, + 431.37, + 558.96 + ] + }, + { + "text": "of", + "bbox_points": [ + 433.7, + 550.94, + 440.77, + 558.96 + ] + }, + { + "text": "ecosystems", + "bbox_points": [ + 443.17, + 550.94, + 482.75, + 558.96 + ] + }, + { + "text": "within", + "bbox_points": [ + 485.12, + 550.94, + 508.17, + 558.96 + ] + }, + { + "text": "the", + "bbox_points": [ + 510.52, + 550.94, + 521.84, + 558.96 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 540.73, + 550.94, + 551.57, + 558.96 + ] + } + ] + }, + { + "text": "(0.6) region", + "bbox_points": [ + 72.0, + 561.43, + 374.49, + 569.45 + ], + "words": [ + { + "text": "(0.6)", + "bbox_points": [ + 72.0, + 561.43, + 88.32, + 569.45 + ] + }, + { + "text": "region", + "bbox_points": [ + 351.89, + 561.43, + 374.49, + 569.45 + ] + } + ] + }, + { + "text": "Rate of important habitat conservation Riparian zone conditions in the region 0.6", + "bbox_points": [ + 192.87, + 571.92, + 551.57, + 579.93 + ], + "words": [ + { + "text": "Rate", + "bbox_points": [ + 192.87, + 571.92, + 209.03, + 579.93 + ] + }, + { + "text": "of", + "bbox_points": [ + 211.41, + 571.92, + 218.48, + 579.93 + ] + }, + { + "text": "important", + "bbox_points": [ + 220.88, + 571.92, + 256.49, + 579.93 + ] + }, + { + "text": "habitat", + "bbox_points": [ + 258.86, + 571.92, + 283.66, + 579.93 + ] + }, + { + "text": "conservation", + "bbox_points": [ + 286.02, + 571.92, + 332.16, + 579.93 + ] + }, + { + "text": "Riparian", + "bbox_points": [ + 343.9, + 571.92, + 374.93, + 579.93 + ] + }, + { + "text": "zone", + "bbox_points": [ + 377.23, + 571.92, + 394.55, + 579.93 + ] + }, + { + "text": "conditions", + "bbox_points": [ + 396.96, + 571.92, + 434.65, + 579.93 + ] + }, + { + "text": "in", + "bbox_points": [ + 437.05, + 571.92, + 444.12, + 579.93 + ] + }, + { + "text": "the", + "bbox_points": [ + 446.51, + 571.92, + 457.83, + 579.93 + ] + }, + { + "text": "region", + "bbox_points": [ + 460.23, + 571.92, + 482.83, + 579.93 + ] + }, + { + "text": "0.6", + "bbox_points": [ + 540.74, + 571.92, + 551.57, + 579.93 + ] + } + ] + }, + { + "text": "Ecological Water source containment function Hydrological status of the ecosystem in the area 0.4", + "bbox_points": [ + 127.45, + 582.41, + 551.57, + 590.42 + ], + "words": [ + { + "text": "Ecological", + "bbox_points": [ + 127.45, + 582.41, + 165.15, + 590.42 + ] + }, + { + "text": "Water", + "bbox_points": [ + 192.87, + 582.41, + 214.68, + 590.42 + ] + }, + { + "text": "source", + "bbox_points": [ + 217.02, + 582.41, + 240.5, + 590.42 + ] + }, + { + "text": "containment", + "bbox_points": [ + 242.87, + 582.41, + 288.24, + 590.42 + ] + }, + { + "text": "function", + "bbox_points": [ + 290.61, + 582.41, + 320.65, + 590.42 + ] + }, + { + "text": "Hydrological", + "bbox_points": [ + 343.9, + 582.41, + 390.68, + 590.42 + ] + }, + { + "text": "status", + "bbox_points": [ + 393.05, + 582.41, + 413.23, + 590.42 + ] + }, + { + "text": "of", + "bbox_points": [ + 415.62, + 582.41, + 422.69, + 590.42 + ] + }, + { + "text": "the", + "bbox_points": [ + 425.08, + 582.41, + 436.4, + 590.42 + ] + }, + { + "text": "ecosystem", + "bbox_points": [ + 438.8, + 582.41, + 475.06, + 590.42 + ] + }, + { + "text": "in", + "bbox_points": [ + 477.41, + 582.41, + 484.48, + 590.42 + ] + }, + { + "text": "the", + "bbox_points": [ + 486.88, + 582.41, + 498.2, + 590.42 + ] + }, + { + "text": "area", + "bbox_points": [ + 500.54, + 582.41, + 515.85, + 590.42 + ] + }, + { + "text": "0.4", + "bbox_points": [ + 540.74, + 582.41, + 551.57, + 590.42 + ] + } + ] + }, + { + "text": "function (0.3) index", + "bbox_points": [ + 135.44, + 592.89, + 220.5, + 600.91 + ], + "words": [ + { + "text": "function", + "bbox_points": [ + 135.44, + 592.89, + 165.48, + 600.91 + ] + }, + { + "text": "(0.3)", + "bbox_points": [ + 167.87, + 592.89, + 184.19, + 600.91 + ] + }, + { + "text": "index", + "bbox_points": [ + 200.86, + 592.89, + 220.5, + 600.91 + ] + } + ] + }, + { + "text": "Soil conservation function index Soil erosion status within the region 0.3", + "bbox_points": [ + 192.87, + 603.44, + 551.57, + 611.45 + ], + "words": [ + { + "text": "Soil", + "bbox_points": [ + 192.87, + 603.44, + 206.84, + 611.45 + ] + }, + { + "text": "conservation", + "bbox_points": [ + 209.25, + 603.44, + 255.34, + 611.45 + ] + }, + { + "text": "function", + "bbox_points": [ + 257.73, + 603.44, + 287.77, + 611.45 + ] + }, + { + "text": "index", + "bbox_points": [ + 290.1, + 603.44, + 309.73, + 611.45 + ] + }, + { + "text": "Soil", + "bbox_points": [ + 343.9, + 603.44, + 357.87, + 611.45 + ] + }, + { + "text": "erosion", + "bbox_points": [ + 360.23, + 603.44, + 386.75, + 611.45 + ] + }, + { + "text": "status", + "bbox_points": [ + 389.14, + 603.44, + 409.32, + 611.45 + ] + }, + { + "text": "within", + "bbox_points": [ + 411.71, + 603.44, + 434.75, + 611.45 + ] + }, + { + "text": "the", + "bbox_points": [ + 437.1, + 603.44, + 448.42, + 611.45 + ] + }, + { + "text": "region", + "bbox_points": [ + 450.82, + 603.44, + 473.48, + 611.45 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 540.74, + 603.44, + 551.57, + 611.45 + ] + } + ] + }, + { + "text": "Proportion of the area of protected Reflects the extent to which the basin is protected 0.3", + "bbox_points": [ + 192.87, + 613.65, + 551.57, + 621.94 + ], + "words": [ + { + "text": "Proportion", + "bbox_points": [ + 192.87, + 613.93, + 231.97, + 621.94 + ] + }, + { + "text": "of", + "bbox_points": [ + 234.31, + 613.93, + 241.38, + 621.94 + ] + }, + { + "text": "the", + "bbox_points": [ + 243.78, + 613.93, + 255.1, + 621.94 + ] + }, + { + "text": "area", + "bbox_points": [ + 257.5, + 613.93, + 272.8, + 621.94 + ] + }, + { + "text": "of", + "bbox_points": [ + 275.19, + 613.93, + 282.26, + 621.94 + ] + }, + { + "text": "protected", + "bbox_points": [ + 284.6, + 613.93, + 318.5, + 621.94 + ] + }, + { + "text": "Reflects", + "bbox_points": [ + 343.9, + 613.65, + 371.92, + 621.94 + ] + }, + { + "text": "the", + "bbox_points": [ + 374.12, + 613.93, + 385.44, + 621.94 + ] + }, + { + "text": "extent", + "bbox_points": [ + 387.78, + 613.93, + 409.69, + 621.94 + ] + }, + { + "text": "to", + "bbox_points": [ + 412.04, + 613.93, + 419.19, + 621.94 + ] + }, + { + "text": "which", + "bbox_points": [ + 421.4, + 613.93, + 443.54, + 621.94 + ] + }, + { + "text": "the", + "bbox_points": [ + 445.94, + 613.93, + 457.26, + 621.94 + ] + }, + { + "text": "basin", + "bbox_points": [ + 459.61, + 613.93, + 478.58, + 621.94 + ] + }, + { + "text": "is", + "bbox_points": [ + 480.98, + 613.93, + 486.64, + 621.94 + ] + }, + { + "text": "protected", + "bbox_points": [ + 489.03, + 613.93, + 522.87, + 621.94 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 540.73, + 613.93, + 551.57, + 621.94 + ] + } + ] + }, + { + "text": "areas to the national territory", + "bbox_points": [ + 200.86, + 624.41, + 306.31, + 632.43 + ], + "words": [ + { + "text": "areas", + "bbox_points": [ + 200.86, + 624.41, + 219.49, + 632.43 + ] + }, + { + "text": "to", + "bbox_points": [ + 221.73, + 624.41, + 228.88, + 632.43 + ] + }, + { + "text": "the", + "bbox_points": [ + 231.25, + 624.41, + 242.57, + 632.43 + ] + }, + { + "text": "national", + "bbox_points": [ + 244.97, + 624.41, + 274.41, + 632.43 + ] + }, + { + "text": "territory", + "bbox_points": [ + 276.77, + 624.41, + 306.31, + 632.43 + ] + } + ] + }, + { + "text": "Ecological Proportion of construction land Reflects the degree of obstruction to the material 0.4", + "bbox_points": [ + 127.45, + 634.62, + 551.57, + 642.92 + ], + "words": [ + { + "text": "Ecological", + "bbox_points": [ + 127.45, + 634.9, + 165.15, + 642.92 + ] + }, + { + "text": "Proportion", + "bbox_points": [ + 192.87, + 634.9, + 231.97, + 642.92 + ] + }, + { + "text": "of", + "bbox_points": [ + 234.31, + 634.9, + 241.38, + 642.92 + ] + }, + { + "text": "construction", + "bbox_points": [ + 243.78, + 634.9, + 288.76, + 642.92 + ] + }, + { + "text": "land", + "bbox_points": [ + 291.12, + 634.9, + 306.93, + 642.92 + ] + }, + { + "text": "Reflects", + "bbox_points": [ + 343.9, + 634.62, + 371.92, + 642.92 + ] + }, + { + "text": "the", + "bbox_points": [ + 374.12, + 634.9, + 385.43, + 642.92 + ] + }, + { + "text": "degree", + "bbox_points": [ + 387.78, + 634.9, + 411.31, + 642.92 + ] + }, + { + "text": "of", + "bbox_points": [ + 413.69, + 634.9, + 420.76, + 642.92 + ] + }, + { + "text": "obstruction", + "bbox_points": [ + 423.16, + 634.9, + 463.82, + 642.92 + ] + }, + { + "text": "to", + "bbox_points": [ + 466.19, + 634.9, + 473.34, + 642.92 + ] + }, + { + "text": "the", + "bbox_points": [ + 475.71, + 634.9, + 487.03, + 642.92 + ] + }, + { + "text": "material", + "bbox_points": [ + 489.43, + 634.9, + 518.92, + 642.92 + ] + }, + { + "text": "0.4", + "bbox_points": [ + 540.73, + 634.9, + 551.57, + 642.92 + ] + } + ] + }, + { + "text": "pressure (0.4) cycle and energy flow of natural ecosystems", + "bbox_points": [ + 135.44, + 645.17, + 509.28, + 653.46 + ], + "words": [ + { + "text": "pressure", + "bbox_points": [ + 135.44, + 645.45, + 165.23, + 653.46 + ] + }, + { + "text": "(0.4)", + "bbox_points": [ + 167.58, + 645.45, + 183.9, + 653.46 + ] + }, + { + "text": "cycle", + "bbox_points": [ + 351.89, + 645.45, + 370.22, + 653.46 + ] + }, + { + "text": "and", + "bbox_points": [ + 372.53, + 645.45, + 386.01, + 653.46 + ] + }, + { + "text": "energy", + "bbox_points": [ + 388.4, + 645.45, + 412.31, + 653.46 + ] + }, + { + "text": "flow", + "bbox_points": [ + 414.65, + 645.17, + 430.11, + 653.46 + ] + }, + { + "text": "of", + "bbox_points": [ + 432.51, + 645.45, + 439.58, + 653.46 + ] + }, + { + "text": "natural", + "bbox_points": [ + 441.98, + 645.45, + 467.29, + 653.46 + ] + }, + { + "text": "ecosystems", + "bbox_points": [ + 469.7, + 645.45, + 509.28, + 653.46 + ] + } + ] + }, + { + "text": "Point source pollution load emission Reflects the pressure of pollutants emitted by human 0.3", + "bbox_points": [ + 192.87, + 655.66, + 551.57, + 663.95 + ], + "words": [ + { + "text": "Point", + "bbox_points": [ + 192.87, + 655.94, + 211.91, + 663.95 + ] + }, + { + "text": "source", + "bbox_points": [ + 214.3, + 655.94, + 237.72, + 663.95 + ] + }, + { + "text": "pollution", + "bbox_points": [ + 240.09, + 655.94, + 272.7, + 663.95 + ] + }, + { + "text": "load", + "bbox_points": [ + 275.07, + 655.94, + 290.71, + 663.95 + ] + }, + { + "text": "emission", + "bbox_points": [ + 293.1, + 655.94, + 324.73, 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450.85 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Lemma et al. - 2024 - Removal of river water turbidity and total dissolved solids using natural coagulants derived from ba/table_08.txt b/Figures/Lemma et al. - 2024 - Removal of river water turbidity and total dissolved solids using natural coagulants derived from ba/table_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..821ab3a5a5ef94d071803776135e32459f210274 --- /dev/null +++ b/Figures/Lemma et al. - 2024 - Removal of river water turbidity and total dissolved solids using natural coagulants derived from ba/table_08.txt @@ -0,0 +1 @@ +Constraints for optimization condition of all factors in banana peel powder diff --git a/Figures/Lemma et al. - 2024 - Removal of river water turbidity and total dissolved solids using natural coagulants derived from ba/table_09.jpg b/Figures/Lemma et al. - 2024 - Removal of river water turbidity and total dissolved solids using natural coagulants 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"October", + "bbox_points": [ + 137.48, + 499.75, + 166.95, + 507.77 + ] + }, + { + "text": "2017", + "bbox_points": [ + 169.28, + 499.75, + 186.95, + 507.77 + ] + } + ] + }, + { + "text": "Capsule 16 October 2017 to 243 620.6 0.7 434.4 0.95 412.7 247.5 165.2 349 183.8 11", + "bbox_points": [ + 64.01, + 513.75, + 527.68, + 521.77 + ], + "words": [ + { + "text": "Capsule", + "bbox_points": [ + 64.01, + 513.75, + 92.72, + 521.77 + ] + }, + { + "text": "16", + "bbox_points": [ + 129.49, + 513.75, + 138.32, + 521.77 + ] + }, + { + "text": "October", + "bbox_points": [ + 140.65, + 513.75, + 170.13, + 521.77 + ] + }, + { + "text": "2017", + "bbox_points": [ + 172.46, + 513.75, + 190.12, + 521.77 + ] + }, + { + "text": "to", + "bbox_points": [ + 192.47, + 513.75, + 199.62, + 521.77 + ] + }, + { + "text": "243", + "bbox_points": [ + 204.26, + 513.75, + 217.51, + 521.77 + ] + }, + { + "text": "620.6", + "bbox_points": [ + 245.08, + 513.75, + 264.75, + 521.77 + ] + }, + { + "text": "0.7", + 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Microsprinkler irrigation in combination with nutrient management influences crop and water producti/table_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..117cd80b1ad0438792b8b6d3ae17b4f8af1f71f1 --- /dev/null +++ b/Figures/Lepcha et al. - 2024 - Microsprinkler irrigation in combination with nutrient management influences crop and water producti/table_05.txt @@ -0,0 +1 @@ +Available macronutrient contents in surface (0–15 cm) soils at various phenological stages of large cardamom as influenced by diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_01.jpg b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3b7ccb622bec3c3c5d16e288bf19d802322da6d5 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e3fa7af437e8b918fd7187f4086d071fb9291d0da1b9721ac95b410822658f9b +size 180555 diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_01.txt b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..6341fe5284a0736f56065251ed21e48fa1efde0e --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_01.txt @@ -0,0 +1 @@ +(a) Overview map of the location of the Ems catchment in Germany. (b) Detailed view on the topography of the three sub- catchments used to train the regional LSTM and the location of the most upstream sub-catchment, which we will evaluate in depth. Fur- thermore, the long-term seasonal dynamics of streamflow (c), precipitation (d), temperature (e), and climatic water balance (f) are shown. diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_02.jpg b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e66463a5a736aff54012513792fd69ae1c2fcbe3 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6bc93267fdbd11292c650b81075ddf718b16f75e9382eb00fd12325f03d7c792 +size 52828 diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_02.txt b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..b7d19b79383f3f8079ace438f4e76c753b745acf --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_02.txt @@ -0,0 +1 @@ +Scheme that explains the method to use attributions resulting from the XAI methods to calculate the TSOI for a particular day. Input timestep 250 is the previous day of the actual modeled day. diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_03.jpg b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0971daa0767b4bf941a6d945ce6fdb7bd95b00f5 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:66ecd85c79354eed707f30b4fe38678bffb5e618b11490110c33cc97fd94b77f +size 67945 diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_03.txt b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..f354afc1d39a8090e1cedc03e33f23d66a3fa4b6 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_03.txt @@ -0,0 +1 @@ +Hydrographs of the single model (a) and regional model (b) exemplarily for the year 1998 in the test period with their corre- sponding NSE and KGE. diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_04.jpg b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..03ed15e1d76ebf051fd2d98cbca91364a4b7ce60 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0a499efb96bc0fb791f858b494fcd8d7e5895818d07fb1fa8fefa6936abb8de5 +size 160456 diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_04.txt b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f74e381e0b398f25df212f14acc1a1debdaa991 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_04.txt @@ -0,0 +1 @@ +(a) Heatmap for the correlation of ERA5-Land soil moisture (0.28–1 m) and the cell states within the LSTM cells on a monthly scale. All cells with an absolute correlation of above 0.6 are displayed. (b) Sorted cell state of the highest correlated cells for each model. The corresponding months with the 20 highest and lowest values of the ERA5-Land soil moisture are marked for each model. diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_05.jpg b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c2ded073db7834be308eeeff1ee56ee3016b20a3 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2a2a55eba9646d2d5f7e8d2d0e6ecb99aeb28476527e82d6e558d109c6da2e41 +size 171618 diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_05.txt b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..831305aa2237881a5c92760da33c095d88b35097 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_05.txt @@ -0,0 +1 @@ +Seasonal dynamics of the TSOI plotted for every day of the year for the single model (a) and regional model (b) for every day of the year, the median and 25th and 75th percentile TSOI are plotted. diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_06.jpg b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2bd80373e83d24401a380a217e842cf50ce6a207 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ac74a48580ec7086a50fe1774bc32531e070c412f2d4627adbe33e473dabff2 +size 181515 diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_06.txt b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..b94a736d8c68781317271d2e4cee09ae96f746db --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_06.txt @@ -0,0 +1 @@ +Overview of ERA5-Land soil moisture, the highest correlated cells in both models, the deviation of precipitation compared to the long-term mean, and TSOI development of both models. The results are presented for the driest year 1971 (a) and wettest year 1998 within the test period (b). diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_07.jpg b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..636bde21fa96ae934923b6832b3f9f522f41f2b4 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d5519fcf8e91c495611ad4897dc65b7ff4ed208f1a24b7818504cbc205549bab +size 123116 diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_07.txt b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f46adcd3f5e8acf3a8e32bb961f5947dd9195e3 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_07.txt @@ -0,0 +1 @@ +ERA5-Land soil moisture dynamics (monthly) and the TSOI (daily) calculated with the IG methods for the single and regional model plotted for the period 1990–2000. The first peak reaching above a value of 0.30 in every winter half year was evaluated for soil moisture dynamics and plotted also in the TSOI time series. diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_08.jpg b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8160bc8f63e5a68ab79bc18d2a37a6cb88c0a466 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ec5b3e9f6ff64cde30e78960da5c56f6f15df5fcc8f5c6a35fbf4b56ea952371 +size 55969 diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_08.txt b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b79f5a5f8b4560f6c155548479fdc18fe9d9df5 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/figure_08.txt @@ -0,0 +1 @@ +(a) Soil moisture storage dynamics of a calibrated HBV model in the same catchment (Ley et al. 2023) compared to the highest correlated cell states in the single model (b) and regional model (c). diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/graphic_abstract.jpg b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9ae5d9d6b9aab0ba0e80ab53a64b053468e33ce3 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c858627c7cd98e9ffdb1491c7d6af673a4e3e91f3d7482d9ec22f7e255e37942 +size 131586 diff --git a/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/manifest.json b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..9dcc3ce72713fe824f9be56f90790d4124690c74 --- /dev/null +++ b/Figures/Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf/manifest.json @@ -0,0 +1,262 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Ley et al. - 2024 - Linking explainable artificial intelligence and soil moisture dynamics in a machine learning streamf.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 9, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 37.43, + 89.24, + 530.8, + 371.44 + ], + "caption_bbox_points": [ + 43.43, + 79.48, + 131.21, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 131586, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 4, + "caption": "(a) Overview map of the location of the Ems catchment in Germany. (b) Detailed view on the topography of the three sub- catchments used to train the regional LSTM and the location of the most upstream sub-catchment, which we will evaluate in depth. Fur- thermore, the long-term seasonal dynamics of streamflow (c), precipitation (d), temperature (e), and climatic water balance (f) are shown.", + "image": "figure_01.jpg", + "caption_file": "figure_01.txt", + "figure_bbox_points": [ + 47.86, + 77.28, + 541.23, + 507.11 + ], + "caption_bbox_points": [ + 43.43, + 508.59, + 543.88, + 536.77 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 180555, + "jpeg_quality": 84, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_02", + "page": 6, + "caption": "Scheme that explains the method to use attributions resulting from the XAI methods to calculate the TSOI for a particular day. Input timestep 250 is the previous day of the actual modeled day.", + "image": "figure_02.jpg", + "caption_file": "figure_02.txt", + "figure_bbox_points": [ + 47.86, + 534.4, + 541.23, + 702.24 + ], + "caption_bbox_points": [ + 43.43, + 703.73, + 544.26, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 52828, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_03", + "page": 7, + "caption": "Hydrographs of the single model (a) and regional model (b) exemplarily for the year 1998 in the test period with their corre- sponding NSE and KGE.", + "image": "figure_03.jpg", + "caption_file": "figure_03.txt", + "figure_bbox_points": [ + 99.0, + 527.82, + 531.19, + 702.24 + ], + "caption_bbox_points": [ + 64.01, + 703.73, + 554.42, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 67945, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_04", + "page": 8, + "caption": "(a) Heatmap for the correlation of ERA5-Land soil moisture (0.28–1 m) and the cell states within the LSTM cells on a monthly scale. All cells with an absolute correlation of above 0.6 are displayed. (b) Sorted cell state of the highest correlated cells for each model. The corresponding months with the 20 highest and lowest values of the ERA5-Land soil moisture are marked for each model.", + "image": "figure_04.jpg", + "caption_file": "figure_04.txt", + "figure_bbox_points": [ + 78.47, + 77.28, + 510.67, + 543.11 + ], + "caption_bbox_points": [ + 43.43, + 544.59, + 545.51, + 572.77 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 160456, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_05", + "page": 9, + "caption": "Seasonal dynamics of the TSOI plotted for every day of the year for the single model (a) and regional model (b) for every day of the year, the median and 25th and 75th percentile TSOI are plotted.", + "image": "figure_05.jpg", + "caption_file": "figure_05.txt", + "figure_bbox_points": [ + 103.47, + 77.28, + 526.49, + 690.45 + ], + "caption_bbox_points": [ + 64.01, + 691.94, + 566.03, + 710.14 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 171618, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_06", + "page": 10, + "caption": "Overview of ERA5-Land soil moisture, the highest correlated cells in both models, the deviation of precipitation compared to the long-term mean, and TSOI development of both models. The results are presented for the driest year 1971 (a) and wettest year 1998 within the test period (b).", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 47.86, + 140.44, + 541.23, + 692.27 + ], + "caption_bbox_points": [ + 43.43, + 693.75, + 545.5, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 181515, + "jpeg_quality": 72, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_07", + "page": 11, + "caption": "ERA5-Land soil moisture dynamics (monthly) and the TSOI (daily) calculated with the IG methods for the single and regional model plotted for the period 1990–2000. The first peak reaching above a value of 0.30 in every winter half year was evaluated for soil moisture dynamics and plotted also in the TSOI time series.", + "image": "figure_07.jpg", + "caption_file": "figure_07.txt", + "figure_bbox_points": [ + 68.38, + 459.85, + 561.75, + 692.27 + ], + "caption_bbox_points": [ + 64.01, + 693.75, + 566.08, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 123116, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_08", + "page": 12, + "caption": "(a) Soil moisture storage dynamics of a calibrated HBV model in the same catchment (Ley et al. 2023) compared to the highest correlated cell states in the single model (b) and regional model (c).", + "image": "figure_08.jpg", + "caption_file": "figure_08.txt", + "figure_bbox_points": [ + 47.86, + 555.77, + 541.23, + 702.24 + ], + "caption_bbox_points": [ + 43.43, + 703.73, + 545.41, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 55969, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of file diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_01.jpg" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..e1af084be214278cb3c84e78a5dac278f4314e36 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f9ea0b1b6cdafc5ecc4b637302fa3f826c7910f33ab7c82e5b4d523354c3185f +size 119747 diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_01.txt" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..49cd24c983e214e8b4770c198a75fa47769f0f86 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_01.txt" @@ -0,0 +1 @@ +As-built plan of the studied Pf. Distances referenced by letters are detailed in Table 1. The salt injection site for the SDG method is also shown. diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_02.jpg" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..71b4dd162a0f8a787a2d6416fb703d0116521702 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5d58257890fbedd47dc809a67ab3d0008e9209eb59276190cae17097769d6905 +size 86684 diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_02.txt" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..82adf326be985ce0baf46d5cc748a8d4d3941f79 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_02.txt" @@ -0,0 +1 @@ +Finite volume mesh. It includes a section of the raw water channel entrance to the plant, the Pf, and the diverging section where the hydraulic jump occurs. diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_03.jpg" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..632d9c21d4be6069bf7e970828e7e66481b27a35 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ef24b0d307ad9b26af6de6d8a83305bbb3f0972000bdff45053fd6482d9ac45 +size 95056 diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_03.txt" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..b676abc6118f67a9bd6b22989523928d690d2de8 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_03.txt" @@ -0,0 +1 @@ +Record of the temporal variation of EC in one of the probes during tracer solution injection tests for estimating Q using SDG. The main figure shows peaks corresponding to six consecutive injections. The inset displays a seemingly homo- geneous section of the time series on a smaller time scale, where the high resolution of the equipment can be observed. diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_04.jpg" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..18da36d0399f4a9485b1231b35e8e5f2a0fd21a3 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:94a0b3f05614444eeb81cb4fee00f47b6967a92fa632d5979724cebe417dddea +size 72364 diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_04.txt" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..09eef56e06b9abe8a97a4ef91718f409b3b74291 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_04.txt" @@ -0,0 +1 @@ +Simulation of the velocity field and particle trajectory through the Pf. diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_05.jpg" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..11907a9161d24a8fcb1b57bcd877363ba4566d61 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:28ff7e3836a6a2994b91cad9ce92d82691f6c6a58b8131e9f6cfa5d4f5ac0d5a +size 106263 diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_05.txt" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..21493faa30bac5d6304f40ab02bd822257af9c9e --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_05.txt" @@ -0,0 +1 @@ +RCs for the Pf at the intake of the CBWTP and their fitting to respective power functions. The corrected SRC (Heiner et al. 2011) for a 0.61 m wide throat Pf (standard) is shown, with the +10% interval shaded in red. (a) RC currently used in the CBWTP; (b) RC fitted to SDG data, including error bars; (c) RC fitted to ADV tests, also including error bars; and (d) RC obtained from numerical modeling (CFD). diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_06.jpg" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..d443e6574bb4c3d8a960e747c96f84a21de58549 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:96dd58e2e3f318f3ab010acd748d9ce74f137147b49a082f0d1a4d642bbffd92 +size 52153 diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_06.txt" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..26d44ed8aa2595d361bcdbeaa9a03cb346396841 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/figure_06.txt" @@ -0,0 +1 @@ +Longitudinal section of the throat and divergent section of the studied Pf (axis labels in meters. x-axis starting at the convergent section and y-axis at the floor of the outflow channel). Shading represents the velocity gradient (G) along the section, as estimated by CFD modeling. diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/graphic_abstract.jpg" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/graphic_abstract.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..e71cbc0563d03fa58abc5337b361007e1f234f2a --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/graphic_abstract.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fcb3336a5267742b7d9e0e36fab79e0bd57f1126cc9eb6a78787ca3e2663c203 +size 97005 diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/manifest.json" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/manifest.json" new file mode 100644 index 0000000000000000000000000000000000000000..03b3b1d4408edf119eadf78a398dd517ed5d0584 --- /dev/null +++ "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/manifest.json" @@ -0,0 +1,430 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "León et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 15, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 64.87, + 84.94, + 502.3, + 323.71 + ], + "caption_bbox_points": [ + 70.87, + 79.48, + 158.65, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 97005, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 4, + "caption": "As-built plan of the studied Pf. Distances referenced by letters are detailed in Table 1. 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It includes a section of the raw water channel entrance to the plant, the Pf, and the diverging section where the hydraulic jump occurs.", + "image": "figure_02.jpg", + "caption_file": "figure_02.txt", + "figure_bbox_points": [ + 100.3, + 77.28, + 495.21, + 369.69 + ], + "caption_bbox_points": [ + 70.87, + 371.17, + 524.44, + 389.37 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 86684, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_02", + "page": 7, + "caption": "Boundary conditions of the k–ω SST-RANS numerical model", + "image": "table_02.jpg", + "caption_file": "table_02.txt", + "figure_bbox_points": [ + 67.87, + 422.75, + 527.41, + 540.44 + ], + "caption_bbox_points": [ + 70.87, + 413.75, + 324.45, + 422.75 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 30955, + "jpeg_quality": 88, + "data_file": "table_02.json", + "structure_extracted": false, + "row_count": 10, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_03", + "page": 9, + "caption": "Record of the temporal variation of EC in one of the probes during tracer solution injection tests for estimating Q using SDG. The main figure shows peaks corresponding to six consecutive injections. The inset displays a seemingly homo- geneous section of the time series on a smaller time scale, where the high resolution of the equipment can be observed.", + "image": "figure_03.jpg", + "caption_file": "figure_03.txt", + "figure_bbox_points": [ + 81.93, + 77.28, + 513.45, + 335.84 + ], + "caption_bbox_points": [ + 70.87, + 337.32, + 523.01, + 365.51 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 95056, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_03", + "page": 9, + "caption": "Flow rate estimations using the SDG in the Pf at the Cuesta Blanca Plant", + "image": "table_03.jpg", + "caption_file": "table_03.txt", + "figure_bbox_points": [ + 67.87, + 409.27, + 527.41, + 476.1 + ], + "caption_bbox_points": [ + 70.87, + 401.05, + 372.7, + 409.27 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 22062, + "jpeg_quality": 88, + "data_file": "table_03.json", + "structure_extracted": false, + "row_count": 3, + "column_count": null + }, + { + "kind": "table", + "label": "table_04", + "page": 9, + "caption": "Flow rate estimations conducted with ADV at the head measurement section of the Pf", + "image": "table_04.jpg", + "caption_file": "table_04.txt", + "figure_bbox_points": [ + 67.87, + 509.39, + 527.41, + 754.23 + ], + "caption_bbox_points": [ + 70.87, + 501.22, + 423.74, + 509.39 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 97765, + "jpeg_quality": 88, + "data_file": "table_04.json", + "structure_extracted": false, + "row_count": 18, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_04", + "page": 10, + "caption": "Simulation of the velocity field and particle trajectory through the Pf.", + "image": "figure_04.jpg", + "caption_file": "figure_04.txt", + "figure_bbox_points": [ + 72.69, + 187.1, + 522.54, + 316.45 + ], + "caption_bbox_points": [ + 70.87, + 317.93, + 361.1, + 326.1 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 72364, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_05", + "page": 10, + "caption": "Flow rate (Q) estimations in the Pf using five rating curves (RCs)", + "image": "table_05.jpg", + "caption_file": "table_05.txt", + "figure_bbox_points": [ + 67.87, + 460.07, + 527.41, + 634.9 + ], + "caption_bbox_points": [ + 70.87, + 451.84, + 339.88, + 460.07 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 58025, + "jpeg_quality": 88, + "data_file": "table_05.json", + "structure_extracted": false, + "row_count": 13, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_05", + "page": 11, + "caption": "RCs for the Pf at the intake of the CBWTP and their fitting to respective power functions. The corrected SRC (Heiner et al. 2011) for a 0.61 m wide throat Pf (standard) is shown, with the +10% interval shaded in red. (a) RC currently used in the CBWTP; (b) RC fitted to SDG data, including error bars; (c) RC fitted to ADV tests, also including error bars; and (d) RC obtained from numerical modeling (CFD).", + "image": "figure_05.jpg", + "caption_file": "figure_05.txt", + "figure_bbox_points": [ + 75.64, + 77.28, + 519.64, + 350.01 + ], + "caption_bbox_points": [ + 70.87, + 351.5, + 524.45, + 389.66 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 106263, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_06", + "page": 11, + "caption": "Values of rapid mixing parameters in a standard Pf and in the studied device (as-built device) at Q ¼ 400 L/s", + "image": "table_06.jpg", + "caption_file": "table_06.txt", + "figure_bbox_points": [ + 67.87, + 496.58, + 527.41, + 572.42 + ], + "caption_bbox_points": [ + 70.87, + 488.35, + 499.89, + 496.58 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 20876, + "jpeg_quality": 88, + "data_file": "table_06.json", + "structure_extracted": false, + "row_count": 9, + "column_count": null + }, + { + "kind": "table", + "label": "table_07", + "page": 11, + "caption": "Simulations results for meshes 1, 2, and 3", + "image": "table_07.jpg", + "caption_file": "table_07.txt", + "figure_bbox_points": [ + 67.87, + 678.39, + 527.41, + 754.23 + ], + "caption_bbox_points": [ + 70.87, + 670.22, + 261.74, + 678.39 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 20768, + "jpeg_quality": 88, + "data_file": "table_07.json", + "structure_extracted": false, + "row_count": 11, + "column_count": null + }, + { + "kind": "table", + "label": "table_08", + "page": 12, + "caption": "Mesh convergence analysis parameters computed from mesh 1", + "image": "table_08.jpg", + "caption_file": "table_08.txt", + "figure_bbox_points": [ + 67.87, + 161.53, + 527.41, + 237.36 + ], + "caption_bbox_points": [ + 70.87, + 153.3, + 340.21, + 161.53 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 14454, + "jpeg_quality": 88, + "data_file": "table_08.json", + "structure_extracted": false, + "row_count": 5, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_06", + "page": 12, + "caption": "Longitudinal section of the throat and divergent section of the studied Pf (axis labels in meters. x-axis starting at the convergent section and y-axis at the floor of the outflow channel). Shading represents the velocity gradient (G) along the section, as estimated by CFD modeling.", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 72.58, + 347.59, + 522.74, + 464.93 + ], + "caption_bbox_points": [ + 70.87, + 466.41, + 524.41, + 494.6 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 52153, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of file diff --git "a/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/table_01.jpg" "b/Figures/Le\303\263n et al. - 2024 - Performance evaluation of a nonstandard Parshall flume and comparison of experimental techniques for/table_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..98d29d66b2045e9fc5630c17ba0a2e4f9ab13e07 --- 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- Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_02.txt" @@ -0,0 +1 @@ +The mean daily discharges of the Danube River at Bratislava (1876–2020). diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_03.jpg" "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..41676e3c81e2d38ed5f532d78ff6e77305818148 --- /dev/null +++ "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d38fa9d29f3d28ce4afcf26c20d6e0a043aca2ca6487fcaeccb6566d40865d2c +size 184303 diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_03.txt" "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..14e3709db7eff0e44cc0fe505bf56a398c82dcdb --- /dev/null +++ "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_03.txt" @@ -0,0 +1 @@ +Observed peaks (dots) above 80 percentiles (dotted line) with 15-day criteria applied for summer (upper graph) and winter (lower graph) season. diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_04.jpg" 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0000000000000000000000000000000000000000..0adbee320e5409e209bffd30004cbd137686de32 --- /dev/null +++ "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_04.txt" @@ -0,0 +1 @@ +Percentage of floods per months for summer (left) and winter season (right). diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_05.jpg" "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..fb249eac4f46c22f5fd0c42b4e229e87c79a5cba --- /dev/null +++ "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bcc3b765fd0a9b1b7c74e2127236a238103da95aeb228bdacf2a65a1652dc6fd +size 47975 diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_05.txt" "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..45c6a94e4ae42abb4456b022c4e17e0bf0155529 --- /dev/null +++ "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_05.txt" @@ -0,0 +1 @@ +Time series of discharge values per decade at Bratislava station with fitted LOWESS curves, for the summer season (left) and the winter season (right). diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_06.jpg" "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..e02918a0b0748c75a1a9ba760bf3d429cb66dc18 --- /dev/null +++ "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9dd88b8359d5d1dd2f91666ab7ea989edaf442a5f201d82954461b0ffae84801 +size 114777 diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_06.txt" "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d97b40664c3a48d64e37d6099837b853d8f4e515 --- /dev/null +++ "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/figure_06.txt" @@ -0,0 +1 @@ +Occurrence rates (solid lines) of Danube River floods at Bratislava station for three flood magnitudes with bootstrap 90% confi- dence band (shaded). Kernel estimation using bandwidth of 40 years is applied to the flood dates, with the results of the Cox–Lewis test (u, statistics; p, one-sided p-value) (upper left corner of each graph). For more details on the statistical methodology, see Mudelsee (2020). diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/graphic_abstract.jpg" "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/graphic_abstract.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..068f9166cf18707e444420b8fe869f1a41c5b365 --- /dev/null +++ "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/graphic_abstract.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:42556acfa7170a43e1765e5a6e1505935b7d05bb66e578d9cdf49376efc5ce68 +size 116516 diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River 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"image": "figure_04.jpg", + "caption_file": "figure_04.txt", + "figure_bbox_points": [ + 48.42, + 557.13, + 540.5, + 713.13 + ], + "caption_bbox_points": [ + 43.43, + 714.61, + 362.35, + 722.78 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 48516, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_05", + "page": 8, + "caption": "Time series of discharge values per decade at Bratislava station with fitted LOWESS curves, for the summer season (left) and the winter season (right).", + "image": "figure_05.jpg", + "caption_file": "figure_05.txt", + "figure_bbox_points": [ + 69.0, + 77.28, + 561.08, + 214.8 + ], + "caption_bbox_points": [ + 64.01, + 216.28, + 566.02, + 234.49 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 47975, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_06", + "page": 8, + "caption": "Occurrence rates (solid lines) of Danube River floods at Bratislava station for three flood magnitudes with bootstrap 90% confi- dence band (shaded). Kernel estimation using bandwidth of 40 years is applied to the flood dates, with the results of the Cox–Lewis test (u, statistics; p, one-sided p-value) (upper left corner of each graph). For more details on the statistical methodology, see Mudelsee (2020).", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 69.0, + 260.51, + 561.08, + 628.89 + ], + "caption_bbox_points": [ + 64.01, + 630.37, + 566.03, + 658.55 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 114777, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of file diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/table_01.jpg" "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/table_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..6d51011efdb278a426464de0b4d3111557f8244c --- 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"kind": "table", + "label": "table_01", + "number": 1, + "caption": "Descriptive statistics of mean daily streamflows (m3/s) for hydrological seasons (the number of data points for summer is 509 and", + "page": 4, + "table_bbox_points": [ + 61.01, + 583.6, + 569.02, + 725.49 + ], + "caption_bbox_points": [ + 64.01, + 573.95, + 566.04, + 583.6 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 9, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "for winter 461)", + "bbox_points": [ + 100.69, + 585.64, + 154.42, + 593.64 + ], + "words": [ + { + "text": "for", + "bbox_points": [ + 100.69, + 585.64, + 110.67, + 593.64 + ] + }, + { + "text": "winter", + "bbox_points": [ + 113.33, + 585.64, + 136.39, + 593.64 + ] + }, + { + "text": "461)", + "bbox_points": [ + 139.01, + 585.64, + 154.42, + 593.64 + ] + } + ] + }, + { + "text": "Hydrological summer Hydrological winter", + "bbox_points": [ + 300.59, + 608.2, + 566.0, + 614.2 + ], + "words": [ + { + "text": "Hydrological", + "bbox_points": [ + 300.59, + 608.2, + 339.25, + 614.2 + ] + }, + { + "text": "summer", + "bbox_points": [ + 341.29, + 608.2, + 366.59, + 614.2 + ] + }, + { + "text": "Hydrological", + "bbox_points": [ + 504.56, + 608.2, + 543.34, + 614.2 + ] + }, + { + "text": "winter", + "bbox_points": [ + 545.27, + 608.2, + 566.0, + 614.2 + ] + } + ] + }, + { + "text": "Mean (m3/s) 4,207.13 3,379.61", + "bbox_points": [ + 64.01, + 621.81, + 534.95, + 631.36 + ], + "words": [ + { + "text": "Mean", + "bbox_points": [ + 64.01, + 623.34, + 84.65, + 631.36 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 87.02, + 621.81, + 109.65, + 631.36 + ] + }, + { + "text": "4,207.13", + "bbox_points": [ + 300.58, + 623.34, + 330.97, + 631.36 + ] + }, + { + "text": "3,379.61", + "bbox_points": [ + 504.56, + 623.34, + 534.95, + 631.36 + ] + } + ] + }, + { + "text": "Median (m3/s) 3,799.5 2,889", + "bbox_points": [ + 64.01, + 635.81, + 524.23, + 645.36 + ], + "words": [ + { + "text": "Median", + "bbox_points": [ + 64.01, + 637.34, + 91.56, + 645.36 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 93.88, + 635.81, + 116.57, + 645.36 + ] + }, + { + "text": "3,799.5", + "bbox_points": [ + 300.59, + 637.34, + 326.66, + 645.36 + ] + }, + { + "text": "2,889", + "bbox_points": [ + 504.57, + 637.34, + 524.23, + 645.36 + ] + } + ] + }, + { + "text": "Standard dev (m3/s) 1,275.18 1,233.25", + "bbox_points": [ + 64.01, + 649.82, + 534.95, + 659.36 + ], + "words": [ + { + "text": "Standard", + "bbox_points": [ + 64.01, + 651.35, + 96.7, + 659.36 + ] + }, + { + "text": "dev", + "bbox_points": [ + 99.04, + 651.35, + 111.78, + 659.36 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 114.18, + 649.82, + 136.81, + 659.36 + ] + }, + { + "text": "1,275.18", + "bbox_points": [ + 300.58, + 651.35, + 330.97, + 659.36 + ] + }, + { + "text": "1,233.25", + "bbox_points": [ + 504.56, + 651.35, + 534.95, + 659.36 + ] + } + ] + }, + { + "text": "Kurtosis 0.90 0.85", + "bbox_points": [ + 64.01, + 665.35, + 519.81, + 673.37 + ], + "words": [ + { + "text": "Kurtosis", + "bbox_points": [ + 64.01, + 665.35, + 93.88, + 673.37 + ] + }, + { + "text": "0.90", + "bbox_points": [ + 300.59, + 665.35, + 315.83, + 673.37 + ] + }, + { + "text": "0.85", + "bbox_points": [ + 504.57, + 665.35, + 519.81, + 673.37 + ] + } + ] + }, + { + "text": "Skewness 2.16 1.64", + "bbox_points": [ + 64.01, + 679.35, + 519.81, + 687.37 + ], + "words": [ + { + "text": "Skewness", + "bbox_points": [ + 64.01, + 679.35, + 98.66, + 687.37 + ] + }, + { + "text": "2.16", + "bbox_points": [ + 300.59, + 679.35, + 315.83, + 687.37 + ] + }, + { + "text": "1.64", + "bbox_points": [ + 504.57, + 679.35, + 519.81, + 687.37 + ] + } + ] + }, + { + "text": "Minimum discharge (m3/s) 3,050 2,139", + "bbox_points": [ + 64.01, + 691.83, + 524.23, + 701.37 + ], + "words": [ + { + "text": "Minimum", + "bbox_points": [ + 64.01, + 693.36, + 99.64, + 701.37 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 102.05, + 693.36, + 136.27, + 701.37 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 138.67, + 691.83, + 161.36, + 701.37 + ] + }, + { + "text": "3,050", + "bbox_points": [ + 300.59, + 693.36, + 320.25, + 701.37 + ] + }, + { + "text": "2,139", + "bbox_points": [ + 504.57, + 693.36, + 524.23, + 701.37 + ] + } + ] + }, + { + "text": "Maximum discharge (m3/s) 10,810 8,770", + "bbox_points": [ + 64.01, + 705.83, + 524.23, + 715.38 + ], + "words": [ + { + "text": "Maximum", + "bbox_points": [ + 64.01, + 707.36, + 100.88, + 715.38 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 103.29, + 707.36, + 137.51, + 715.38 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 139.92, + 705.83, + 162.61, + 715.38 + ] + }, + { + "text": "10,810", + "bbox_points": [ + 300.59, + 707.36, + 324.66, + 715.38 + ] + }, + { + "text": "8,770", + "bbox_points": [ + 504.57, + 707.36, + 524.23, + 715.38 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/table_01.txt" "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/table_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..a3e6ebaf06224cb107608320cb1774d4ad198911 --- /dev/null +++ "b/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Are extreme floods on the Danube River becoming more frequent A case study of Bratislava station/table_01.txt" @@ -0,0 +1 @@ +Descriptive statistics of mean daily streamflows (m3/s) for hydrological seasons (the number of data points for summer is 509 and diff --git "a/Figures/Le\305\241\304\215e\305\241en et al. - 2024 - Hydrological drought assessment of the Sava River basin in South-Eastern Europe/figure_01.jpg" 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techniques and resource recovery of source-separated urine a bibliometric analysis and li/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0e516f691eb543c91b01616de8147ceb51e421c0fb0e012df5a7c07bc10c218e +size 73594 diff --git a/Figures/Li and Li - 2024 - Treatment techniques and resource recovery of source-separated urine a bibliometric analysis and li/figure_02.txt b/Figures/Li and Li - 2024 - Treatment techniques and resource recovery of source-separated urine a bibliometric analysis and li/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f729282160a3244b96b4f165c1e701ba26e6e77 --- /dev/null +++ b/Figures/Li and Li - 2024 - Treatment techniques and resource recovery of source-separated urine a bibliometric analysis and li/figure_02.txt @@ -0,0 +1 @@ +The number of publications related to treatment and resource recovery of SSU from January 2000 to December 2023. diff --git a/Figures/Li and Li - 2024 - Treatment 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+ "caption_bbox_points": [ + 43.43, + 555.19, + 177.23, + 563.36 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 10, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Piping parameters Numerical value", + "bbox_points": [ + 43.43, + 577.98, + 531.78, + 583.98 + ], + "words": [ + { + "text": "Piping", + "bbox_points": [ + 43.43, + 577.98, + 62.78, + 583.98 + ] + }, + { + "text": "parameters", + "bbox_points": [ + 64.8, + 577.98, + 100.6, + 583.98 + ] + }, + { + "text": "Numerical", + "bbox_points": [ + 481.49, + 577.98, + 513.16, + 583.98 + ] + }, + { + "text": "value", + "bbox_points": [ + 515.17, + 577.98, + 531.78, + 583.98 + ] + } + ] + }, + { + "text": "Pipe length l ¼ 2, 000 m", + "bbox_points": [ + 43.43, + 592.84, + 524.77, + 601.14 + ], + "words": [ + { + "text": "Pipe", + "bbox_points": [ + 43.43, + 593.12, + 59.33, + 601.14 + ] + }, + { + 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] + }, + { + "text": "Downstream reservoir head H2 ¼ 20 m", + "bbox_points": [ + 43.43, + 634.85, + 519.56, + 643.77 + ], + "words": [ + { + "text": "Downstream", + "bbox_points": [ + 43.43, + 635.13, + 89.37, + 643.15 + ] + }, + { + "text": "reservoir", + "bbox_points": [ + 91.73, + 635.13, + 123.22, + 643.15 + ] + }, + { + "text": "head", + "bbox_points": [ + 125.58, + 635.13, + 143.06, + 643.15 + ] + }, + { + "text": "H2", + "bbox_points": [ + 481.49, + 635.03, + 491.33, + 643.77 + ] + }, + { + "text": "¼", + "bbox_points": [ + 494.02, + 634.85, + 500.18, + 642.85 + ] + }, + { + "text": "20", + "bbox_points": [ + 502.41, + 635.13, + 511.24, + 643.15 + ] + }, + { + "text": "m", + "bbox_points": [ + 512.56, + 635.13, + 519.56, + 643.15 + ] + } + ] + }, + { + "text": "Pipe diameter D ¼ 0:5 m", + "bbox_points": [ + 43.43, + 648.8, + 517.97, + 657.1 + ], + "words": [ + { + "text": "Pipe", + "bbox_points": [ + 43.43, + 649.08, + 59.33, + 657.1 + ] + }, + { + "text": "diameter", + 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"text": "Steady-state discharge Q0 ¼ 0:0153 m3=s", + "bbox_points": [ + 43.43, + 676.99, + 545.48, + 686.69 + ], + "words": [ + { + "text": "Steady-state", + "bbox_points": [ + 43.43, + 677.26, + 85.83, + 685.27 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 88.22, + 677.26, + 122.43, + 685.27 + ] + }, + { + "text": "Q0", + "bbox_points": [ + 481.49, + 677.95, + 490.99, + 686.69 + ] + }, + { + "text": "¼", + "bbox_points": [ + 493.68, + 677.77, + 499.84, + 685.77 + ] + }, + { + "text": "0:0153", + "bbox_points": [ + 502.07, + 677.77, + 526.31, + 686.07 + ] + }, + { + "text": "m3=s", + "bbox_points": [ + 527.58, + 676.99, + 545.48, + 686.07 + ] + } + ] + }, + { + "text": "Upstream boundary head h(xu) ¼ 0", + "bbox_points": [ + 43.43, + 691.83, + 514.88, + 700.67 + ], + "words": [ + { + "text": "Upstream", + "bbox_points": [ + 43.43, + 692.05, + 78.21, + 700.07 + ] + }, + { + "text": "boundary", + "bbox_points": [ + 80.56, + 692.05, + 114.77, + 700.07 + ] + }, + { + "text": 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+ 714.19 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Li and Zhang - 2024 - Pipeline leakage localization method based on transient signal detection and data fusion from multi-/table_01.txt b/Figures/Li and Zhang - 2024 - Pipeline leakage localization method based on transient signal detection and data fusion from multi-/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..8d89ac401d632679a0889364354a0e9e185c7155 --- /dev/null +++ b/Figures/Li and Zhang - 2024 - Pipeline leakage localization method based on transient signal detection and data fusion from multi-/table_01.txt @@ -0,0 +1 @@ +Parameters of the pipeline diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_01.jpg b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8235fb290b5af109ad29813c582ce29b44ec86ce --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:893a8e786c77dfac09bc8f072728c6382af74a29e64b8beafdc2b627851b1532 +size 134883 diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_01.txt b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..8579638b1aa01a55e6e6bb92846e0c5d35b535bc --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_01.txt @@ -0,0 +1 @@ +Distribution map of the studied 34 lakes in China. The gray lines indicate the lake region boundaries, and the blue shaded area indicates the extent of all lakes. The circled numbers indicate all lakes studied in China. diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_02.jpg b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..be5631287f1c388095c39ed0413bef539eadb13c --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1929e45ca8276995780b08ed6666395b0ab630147fc1519f386e2c898fbf1bc4 +size 74119 diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_02.txt b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2e8e259ab78f65dca3b55098a91057c1c3eaa8c --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_02.txt @@ -0,0 +1 @@ +The flowchart for lake water volume estimation with two different methods (satellite altimetry-based and DEM-based) in this study. diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_03.jpg b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1d215888505407fa2715d0465cf1cfa3f2b57512 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a75a44ed7a7ab661200be38d295b922ab3a710c1e320ae7b75feb0aaa0a988de +size 53229 diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_03.txt b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c60dc59423e27492d44ef0c564feecba5bfbf84 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_03.txt @@ -0,0 +1 @@ +Schematic diagram of the water level height difference method based on lake shore terrain simulation. The blue and red lines represent the extent of Aqqikkol Lake in 2015 and 2020, respectively. diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_04.jpg b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..14875d7ecd80e0d719bbdb48d4bf593141bbe6ce --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e547dceaacb49aad47c641a32e9331e71e2acc785b11cf774c8982b7237ecdb7 +size 20549 diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_04.txt b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..7cfc61791f36a80ead631e3aa9d2f1ebf52c8d1e --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_04.txt @@ -0,0 +1 @@ +Regression of lake surface area change and lake water volume change for Aqqikkol Lake. diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_05.jpg b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0321ce73e750a594c5b4011d6f16a64b3f4de0a5 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:96f3e529d746e4b8348f96df29282d73d2c43e7152eca344566e855808f99b8b +size 69153 diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_05.txt b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..ff5b2e0cc7c4548154552837b6d17de1b6ed3a15 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_05.txt @@ -0,0 +1 @@ +Spatial distribution of lake water volume change from 2015 to 2020 based on DEM. Lakes that cannot have their water volume changes estimated using DEM-based methods are represented using estimation results based on satellite altimetry-based methods. The red and blue color triangles indicate a decrease and increase in lake volume, respectively. The red line indicates the boundary of the lake region. Tai Lake is not shown in this figure as it lacks DAHITI data and DEM-based methods cannot be used to estimate its water volume change. diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_06.jpg b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fc0bbd22226821c220886c7d57c8e28167f98e7b --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:01fa60e3c87daab432c1d4f90a671338a2af84d08dd3cc5c3b60e12974f47015 +size 26324 diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_06.txt b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ebffbe0ce95a59f2074252d7f09994713bf9c25 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_06.txt @@ -0,0 +1 @@ +Correlation analysis and confidence interval map of water volume change estimated by two different methods. The white circles represent the calculation results of every lake studied. The red strip indicates the confidence interval of 95%. diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_07.jpg b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1ca787c3d98c568f0544741b97c501783227b378 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:adf65ea30496252afca94b4ed5f89960e975ee40117c5b3252e4b5d184aa2da1 +size 103411 diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_07.txt b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fa8356ef4dce70fe2bcab60b3a538f44ef37faf --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_07.txt @@ -0,0 +1 @@ +Deviation of the estimated results of water volume changes in 29 lakes. The blue histogram and red line represent the estimated results using the DEM-based method and satellite altimetry-based method with the DAHITI data, respectively. The black short line represents the deviation of water volume changes obtained using the two methods. diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_08.jpg b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..822e7bfa4564e1ee94d9074461752ea4ee89e6e4 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:71addd44e463abd604c11d7d9306cb96e459e75bf2517a4f0b2fdbafc1b43001 +size 183579 diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_08.txt b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..37ccaf10c243bbff6a821fc0cc8aa91ea2f319d1 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_08.txt @@ -0,0 +1 @@ +Threshold setting for extracting the contour lines of the Chao Lake shore. (a,b) represent the surrounding terrain and slope of Chao Lake, respectively. (c) represents the slope threshold setting for accurately extracting the lake shore using contour lines (gray and black areas represent areas with slopes , and .1.5°, respectively). The red lines represent the contour lines, and the area circled by the purple dashed line represents the relatively accurate area of the lake shoreline extracted by the contour lines. diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_09.jpg b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c4564ba50287d8e401caca414057c669ddb6eda0 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:63fb60dfcee62cca3f1dff7fb58d569a9434c10457b296a189b5514bf958da0b +size 156708 diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_09.txt b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..11e339eeaccc19cf8fab39a90d395b5a023e378f --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/figure_09.txt @@ -0,0 +1 @@ +The contour line cannot describe the lake shore extent. (a) Gongzhu Lake and (b) Boston Lake. The blue area and red line represent the lake extent and contour line of the lake shore, respectively. diff --git a/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/manifest.json b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a0455d55a7745e294aa1753c567d7dd1a60c547c --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol/manifest.json @@ -0,0 +1,374 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Li et al. - 2024 - A comparative study of satellite altimetry-based and DEM-based methods for estimating lake water vol.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 13, + "items": [ + { + "kind": "figure", + "label": "figure_01", + "page": 3, + "caption": "Distribution map of the studied 34 lakes in China. 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al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_01.jpg b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e565d7e4fa66c0c999018de425df8570578fa566 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9beee1f632d662e3209fa3732ef4aa106512d2d7bc7d84e9d28f1516c3a523e4 +size 110575 diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_01.txt b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..189fd2f61c11c1b97ac00d99ae86629eabe160aa --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_01.txt @@ -0,0 +1 @@ +All radiosondes launch locations in mainland China and Mongolia east of 100°E. Black crosses indicate the stations with poor- quality data, and red circles and triangles mark the stations with good-quality data. Red circles indicate the stations along a north–south transect (red line) selected in this study to characterise the thermodynamic structure of the EASM. diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_02.jpg b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..42ad161b56002b8b8507c647c49ebd253f60e888 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d2d3f8258aeec6e297df9bc3ffa0b4d3d6ce7ceb80a5aa9481b20d356dfc529f +size 198779 diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_02.txt b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..61c967c657513957eda15c4496579f3ac46076d3 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_02.txt @@ -0,0 +1 @@ +Latitude-time Hovmöller plots of the frequency of monsoon front location (left), days of RHREs (middle), and daily mean rainfall (right), averaged over 110–115°E for April–September for all days (a, d, g), non-TC days (b, e, h), and TC days (c, f, i). All panels are normalised by the total number of days (a, d, g), the number of non-TC days (b, e, h), and the number of TC days (c, f, i). The two dashed lines mark the southerly and northerly boundaries of the YRB region, the black lines represent the contours at 15% of the normalised frequency of monsoon front location, and the red lines are the 7% contour of normalised RHRE days. diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_03.jpg b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f8cdaa5ebc14cf9aa68dfae37b4ed856b6bb4d94 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3ebf67bafe21aa2b7b107300f72532f075a67a33ceafe481f5c4ab2f1da41a12 +size 85583 diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_03.txt b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..74261e6f0178c6437544222c36d59619ad504ebf --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_03.txt @@ -0,0 +1 @@ +Distribution of the frequency of RHREs over the YRB during the monsoon progression (mid-June to mid-July) and monsoon retreat (mid-August to mid-September) periods on a logarithmic scale for (a) duration (D), (b) impact area (A), and (c) accumulated rainfall amount (P). diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_04.jpg b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4f0cb0cb494f24da2ef9dfce363cf38c3b3f7628 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4d583fdbae47e76cf5b71034ccbedb3e95a91423ebca1418676393c89b7e05aa +size 359045 diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_04.txt b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c000f564ef18f7f68b8ad813146152c21dbaf89 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_04.txt @@ -0,0 +1 @@ +Mean ERA-Interim relative humidity (%, shaded) and horizontal wind (m s1, arrows) at 850 hPa for every half month from April to September between 1998 and 2017. White regions indicate areas where the pressure level is below the orography. diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_05.jpg b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5671c6725c17a979e0dc9b328114da7773322ff2 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:32ebc123f7fb02680dbca46c263590724b33e2a99569786b5244ff11e6336476 +size 223062 diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_05.txt b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..728190860f9b6c477a244bc08be63835921a2f8d --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_05.txt @@ -0,0 +1 @@ +Meridional transects of zonal wind (shading and arrows, m s1) from radiosonde data averaged between 1998 and 2017 for days without landfalling TCs for: (a) 1–15 April, (b) 16–30 April, (c) 1–15 May, (d) 16–31 May, (e) 1–15 June, (f) 16–30 June, (g) 1– 15 July, (h) 16–31 July, (i) 1–15 August, (j) 16–31 August, (k) 1–15 September, and (l) 16–30 September. The zero-value zonal wind is marked by the solid black contour. Positive zonal wind values (westerly flow) are displayed in green and blue, and negative values (easterly flow) in yellow. The oro- graphy surface is marked by the dotted grey line. diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_06.jpg b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ee19b7a97bb686605d4d6573bd05f80dd24a9456 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9819d4d8b8c244f56708a30f43a387175f251c67a7147722f757e60b441b44b6 +size 290927 diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_06.txt b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..b95161ae56fb7c74c608bbbaf4769af7fbb5ed84 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_06.txt @@ -0,0 +1 @@ +Same as Figure 6, but for the meridional wind. Positive meridional wind values (southerly flow) are shown in green and blue, and negative values (northerly flow) are shown in yellow and red. diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_07.jpg b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c095cc0a54083a8e8aeed56ab247e8c0b1a272d7 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:804ea52b456d19ca74d10493caf3c4490131384a86239e8e3649f97b96bb3dc0 +size 301090 diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_07.txt b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..905441a71ff92234f209f1b793c383981de50579 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_07.txt @@ -0,0 +1 @@ +Same as Figure 6, but shading represents relative humidity (%). The solid blue, solid black, and dashed black lines indicate the relative humidity at 80, 65, and 50%, respectively. The arrows show the meridional wind (m s1). diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_08.jpg b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9ef4bbeadcd923e77cf60b86b6f4b5da8c0f3718 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4f00ecf7f51fb572b6e3a1170fe25edd4aeaec212efbabf8f67b6c8762cb9c1a +size 285280 diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_08.txt b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..80f038ec4f7e9291a7071e08737e9fcc0b25423c --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_08.txt @@ -0,0 +1 @@ +Same as Figure 6, but for equivalent potential temperature (θE, K). Dashed lines represent values above 335 K and solid lines indicate values below this threshold. The arrows show the meridional wind (m s1). diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_09.jpg b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..64997faf1b18e6793787913befc0514dc41d2160 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2d7857240d054e91421de093be417ae8a485f17f2faf9a8fe2502c8a90977c12 +size 179607 diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_09.txt b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..c87aa185f2900250741a278c0a1fc84317c78fbc --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/figure_09.txt @@ -0,0 +1 @@ +Latitude-time sections along the radiosonde transect averaged over 110–115°E for April–September 1998 and 2017 for days without landfalling TCs, (a) CAPE, (b) CIN, and (c) PW. The black lines are the 15% contours for the normalised frequency of the monsoon front location. The red lines are the 7% contour of normalised days of RHREs. The dotted black horizontal lines mark the southerly and northerly boundaries of the YRB region. diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/graphic_abstract.jpg b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e34d9e22c479cec9595b2908904c240af3fd49fa --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5bcbe4f90175c84d2f2951db06fd2c880af9f95a49ca7f100dd4e49429c6f0cd +size 172542 diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/manifest.json b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..14f1a047863bc94b9662b3db0bd5d53ddacd6d23 --- /dev/null +++ b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/manifest.json @@ -0,0 +1,318 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 11, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 58.01, + 84.99, + 560.23, + 355.34 + ], + "caption_bbox_points": [ + 64.01, + 79.48, + 151.73, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 172542, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 4, + "caption": "All radiosondes launch locations in mainland China and Mongolia east of 100°E. 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White regions indicate areas where the pressure level is below the orography.", + "image": "figure_04.jpg", + "caption_file": "figure_04.txt", + "figure_bbox_points": [ + 63.9, + 77.28, + 566.12, + 617.04 + ], + "caption_bbox_points": [ + 64.01, + 616.27, + 566.03, + 636.72 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 359045, + "jpeg_quality": 50, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_05", + "page": 11, + "caption": "Meridional transects of zonal wind (shading and arrows, m s\u00031) from radiosonde data averaged between 1998 and 2017 for days without landfalling TCs for: (a) 1–15 April, (b) 16–30 April, (c) 1–15 May, (d) 16–31 May, (e) 1–15 June, (f) 16–30 June, (g) 1– 15 July, (h) 16–31 July, (i) 1–15 August, (j) 16–31 August, (k) 1–15 September, and (l) 16–30 September. The zero-value zonal wind is marked by the solid black contour. Positive zonal wind values (westerly flow) are displayed in green and blue, and negative values (easterly flow) in yellow. The oro- graphy surface is marked by the dotted grey line.", + "image": "figure_05.jpg", + "caption_file": "figure_05.txt", + "figure_bbox_points": [ + 43.32, + 77.28, + 545.54, + 657.57 + ], + "caption_bbox_points": [ + 43.43, + 656.81, + 545.49, + 707.25 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 223062, + "jpeg_quality": 50, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_06", + "page": 12, + "caption": "Same as Figure 6, but for the meridional wind. Positive meridional wind values (southerly flow) are shown in green and blue, and negative values (northerly flow) are shown in yellow and red.", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 63.9, + 77.28, + 566.12, + 655.87 + ], + "caption_bbox_points": [ + 64.01, + 657.41, + 566.04, + 675.62 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 290927, + "jpeg_quality": 50, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_07", + "page": 13, + "caption": "Same as Figure 6, but shading represents relative humidity (%). The solid blue, solid black, and dashed black lines indicate the relative humidity at 80, 65, and 50%, respectively. The arrows show the meridional wind (m s\u00031).", + "image": "figure_07.jpg", + "caption_file": "figure_07.txt", + "figure_bbox_points": [ + 43.32, + 77.28, + 545.54, + 659.95 + ], + "caption_bbox_points": [ + 43.43, + 661.49, + 543.12, + 679.7 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 301090, + "jpeg_quality": 50, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_08", + "page": 14, + "caption": "Same as Figure 6, but for equivalent potential temperature (θE, K). Dashed lines represent values above 335 K and solid lines indicate values below this threshold. The arrows show the meridional wind (m s\u00031).", + "image": "figure_08.jpg", + "caption_file": "figure_08.txt", + "figure_bbox_points": [ + 63.9, + 77.28, + 566.12, + 658.65 + ], + "caption_bbox_points": [ + 64.01, + 659.51, + 558.12, + 678.34 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 285280, + "jpeg_quality": 50, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_09", + "page": 17, + "caption": "Latitude-time sections along the radiosonde transect averaged over 110–115°E for April–September 1998 and 2017 for days without landfalling TCs, (a) CAPE, (b) CIN, and (c) PW. The black lines are the 15% contours for the normalised frequency of the monsoon front location. The red lines are the 7% contour of normalised days of RHREs. The dotted black horizontal lines mark the southerly and northerly boundaries of the YRB region.", + "image": "figure_09.jpg", + "caption_file": "figure_09.txt", + "figure_bbox_points": [ + 168.9, + 77.28, + 420.1, + 532.39 + ], + "caption_bbox_points": [ + 43.43, + 533.93, + 545.52, + 572.09 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 179607, + "jpeg_quality": 85, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of file diff --git a/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/table_01.jpg b/Figures/Li et al. - 2024 - A comparison of intense rainfall characteristics and mechanisms between monsoon onset and retreat ov/table_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..690030485da41cbb6ca704fb5c92a161f062e0af --- /dev/null +++ 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brackets) of RHREs and variables characterising the monsoon conditions for the radiosonde", + "page": 9, + "table_bbox_points": [ + 40.43, + 85.16, + 548.44, + 382.67 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 545.48, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 22, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "stations located over the Yangtze River Basin (YRB) during the monsoon progression (mid-June to mid-July), and monsoon retreat", + "bbox_points": [ + 81.35, + 87.14, + 545.57, + 95.14 + ], + "words": [ + { + "text": "stations", + "bbox_points": [ + 81.35, + 87.14, + 109.6, + 95.14 + ] + }, + { + "text": "located", + "bbox_points": [ + 111.97, + 87.14, + 138.42, + 95.14 + ] + }, + { + "text": "over", + "bbox_points": [ + 140.77, + 87.14, + 156.49, + 95.14 + ] + }, + { + "text": "the", + "bbox_points": [ + 158.85, + 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"text": "Mean rainfall (mm)* 6.87 ( + 18.67) 4.29 ( + 11.97)", + "bbox_points": [ + 43.43, + 199.62, + 424.76, + 207.92 + ], + "words": [ + { + "text": "Mean", + "bbox_points": [ + 43.43, + 199.9, + 64.08, + 207.92 + ] + }, + { + "text": "rainfall", + "bbox_points": [ + 66.45, + 199.9, + 91.99, + 207.92 + ] + }, + { + "text": "(mm)*", + "bbox_points": [ + 94.34, + 199.9, + 117.99, + 207.92 + ] + }, + { + "text": "6.87", + "bbox_points": [ + 200.01, + 199.9, + 215.26, + 207.92 + ] + }, + { + "text": "(", + "bbox_points": [ + 217.65, + 199.9, + 220.39, + 207.92 + ] + }, + { + "text": "+", + "bbox_points": [ + 221.95, + 199.62, + 229.95, + 207.62 + ] + }, + { + "text": "18.67)", + "bbox_points": [ + 231.53, + 199.9, + 253.94, + 207.92 + ] + }, + { + "text": "4.29", + "bbox_points": [ + 370.88, + 199.9, + 386.13, + 207.92 + ] + }, + { + "text": "(", + "bbox_points": [ + 388.46, + 199.9, + 391.2, + 207.92 + ] + }, + { + "text": "+", + "bbox_points": [ + 392.77, + 199.62, + 400.77, + 207.62 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448.88, + 655.45 + ] + }, + { + "text": "respectively", + "bbox_points": [ + 451.22, + 647.44, + 493.3, + 655.45 + ] + } + ] + }, + { + "text": "Prediction error The prediction error of the water Gaussian distribution m ¼ +1:25%D1", + "bbox_points": [ + 43.43, + 661.29, + 460.32, + 670.36 + ], + "words": [ + { + "text": "Prediction", + "bbox_points": [ + 43.43, + 661.5, + 80.55, + 669.51 + ] + }, + { + "text": "error", + "bbox_points": [ + 82.89, + 661.5, + 100.77, + 669.51 + ] + }, + { + "text": "The", + "bbox_points": [ + 149.79, + 661.5, + 163.53, + 669.51 + ] + }, + { + "text": "prediction", + "bbox_points": [ + 165.89, + 661.5, + 202.61, + 669.51 + ] + }, + { + "text": "error", + "bbox_points": [ + 204.95, + 661.5, + 222.83, + 669.51 + ] + }, + { + "text": "of", + "bbox_points": [ + 225.02, + 661.5, + 232.09, + 669.51 + ] + }, + { + "text": "the", + "bbox_points": [ + 234.49, + 661.5, + 245.8, + 669.51 + ] + }, + { + "text": "water", + "bbox_points": [ + 248.03, + 661.5, + 267.92, 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leakage localization method applying the strategy of dynamic area narrowing down for/table_03.txt b/Figures/Li et al. - 2024 - A stepwise fast leakage localization method applying the strategy of dynamic area narrowing down for/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f29e12df3859908b938539da81c20c92ed4d807 --- /dev/null +++ b/Figures/Li et al. - 2024 - A stepwise fast leakage localization method applying the strategy of dynamic area narrowing down for/table_03.txt @@ -0,0 +1 @@ +Information and overall localization results of the three burst leak events diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_01.jpg b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a27934cbe6f710ca27a3892a0854441c4b5fac89 --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b04a3d449c377066962019219892b2b901135a699a67e80c69a936acb5dca454 +size 50546 diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_01.txt b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..df990ac3c38942b0c303dba422b628697762d68d --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_01.txt @@ -0,0 +1 @@ +The CO2 m/z 44 (a) and δ13CGB values (b) of potassium hydrogen phthalate solutions with different DOC contents (3, 6, and 9 mg L1) and variable volumes (10, 20, 30, and 40 mL) were compared. The shaded part is the deviation range of δ13CEA values produced by solid potassium hydrogen phthalate. diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_02.jpg b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..da55a872bc37378700e295c273a56af7354c5c0e --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a3199d2b38fb3b2477b3095bbdc7c9725b079c096883289429a469969da91c57 +size 23112 diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_02.txt b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..a47f95107a0afcff8688607589a2606b998b4c8e --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_02.txt @@ -0,0 +1 @@ +The δ13CGB values (‰) of DIC reference solutions with nitrogen purge for 1 and 2 h in an ice bath under 4 °C (a). The shaded part is the δ13C value obtained from the distilled water samples without DIC after purging for 2 h. After purging for 2 h, the average δ13CCO2 value of solutions was close to that in the distilled water samples. diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_03.jpg b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e5a4cac97375b2522ba0375da887bc7874c2bd1a --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1025011fa42712a66fcb93631187db07be14acf4867d079239cf22be7ab5399 +size 47817 diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_03.txt b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..41494121da6a51feddd8b28d2b4e3c8bac16ecbe --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_03.txt @@ -0,0 +1 @@ +The CO2 m/z 44 values (a) and δ13CCO2 (b) of the mixed solutions of KHP and sodium bicarbonate were obtained by the optimized method. The shaded part is the deviation range of δ13CEA values produced by solid potassium hydrogen phthalate. The δ13C ratios of residual DOC closed to their δ13C values determined by EA-IRMS (b). The CO2 (m/z 44) peak values had a good linear relationship with DOC content. diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_04.jpg b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..28401bc375fdfe463b4a778299097c9403437299 --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:20168390ec841ac3ff301e3e23b2fb09250a05ef3f7b7bc93ca85ceca728fafb +size 68072 diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_04.txt b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..b67a240b42a1b78a39118e35b044b8f41c4dc530 --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_04.txt @@ -0,0 +1 @@ +CO2 peak values (a) and δ13CGB values (b) of the four reference materials vary with carbon content. For this analysis, reference solutions had the same concentration of carbon (1–6 mg L1). The shaded parts in figure (b) represent their δ13CEA values. diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_05.jpg b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8b6ecb5928a4d09b547afb6838a371f16eaa0091 --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:79eb2893bd580dfa7e7fd5679ed7273b41bd060c3af2d4620a30b7df60e8c32b +size 85601 diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_05.txt b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..d19f62535f6e59d7df49ecab36430906352fa085 --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_05.txt @@ -0,0 +1 @@ +The established procedure for DOC content and δ13C value determination. Schematic showing the various steps involved in the improved pre-treatment conditions and the GasBench-IRMS injection procedure used in our laboratory. diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_06.jpg b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2ed289e2a752ca212e7af6156fb2d02f1a3122a6 --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:98f3ddd78d4133e370b5188ebf842391915df40daa041202c16b4d6c0d433bd0 +size 63793 diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_06.txt b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..99b0781de76a2d1e4f430b9f12df66c766af6963 --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/figure_06.txt @@ -0,0 +1 @@ +The δ13CGB values of DOC standard samples (KHP and SUC) obtained by the improved method (a) and the traditional method (b) varied with carbon content. In this analysis, the carbon concentration of the reference solution was the same (0.2–6 mg L1). The shadow parts in the figure represent its δ13CEA values. The lower the δ13C values, the greater the impact of the blank. diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/graphic_abstract.jpg b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ee13a0197b1e58c7a21d4e697e1251e8fae55cb6 --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c2bf99d85fd0824ca995ae1259b5b3672452cc60d1f40e1ed382bb376948c817 +size 123790 diff --git a/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/manifest.json b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..f7574be83ce5412e242e464c97413807f7c8da73 --- /dev/null +++ b/Figures/Li et al. - 2024 - An improved method for isotopic and quantitative a/manifest.json @@ -0,0 +1,234 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Li et al. - 2024 - An improved method for isotopic and quantitative a.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 8, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 58.01, + 88.0, + 550.08, + 463.34 + ], + "caption_bbox_points": [ + 64.01, + 79.48, + 151.73, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 123790, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_01", + "page": 3, + "caption": "The selected DOC and DIC references and their δ13C ratios", + "image": "table_01.jpg", + "caption_file": "table_01.txt", + "figure_bbox_points": [ + 40.43, + 612.55, + 548.44, + 725.26 + ], + "caption_bbox_points": [ + 43.43, + 602.69, + 294.66, + 612.55 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 50193, + "jpeg_quality": 88, + "data_file": "table_01.json", + "structure_extracted": false, + "row_count": 7, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 6, + "caption": "The CO2 m/z 44 (a) and δ13CGB values (b) of potassium hydrogen phthalate solutions with different DOC contents (3, 6, and 9 mg L\u00031) and variable volumes (10, 20, 30, and 40 mL) were compared. 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treatment of aniline and phenol in water by electrochemical copolymerization. diff --git a/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_03.jpg b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1a8f069e3697ce0d4d34ead5a4a009b86fc68ad0 --- /dev/null +++ b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:77f62e4a07ecf6c6af04f2160dd012a695e3a4a7fb59e296f6fb18f021bd36ca +size 40107 diff --git a/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_03.txt b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical 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of aniline and phenol in water by electrochemical copolymerization/figure_06.jpg b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0b875c30052f0f0686c3befa76eff234c0f98a54 --- /dev/null +++ b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8196a65e03739b69be4066e882539c7e30e4a53b3d4c0de70a29ee856321f8ba +size 40792 diff --git a/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_06.txt b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..f07d92c86e50507176d104cb81321b8ad20e92f3 --- /dev/null +++ b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_06.txt @@ -0,0 +1 @@ +FTIR spectra of aniline, phenol, and poly(aniline-co-phenol). diff --git a/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_07.jpg b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b7183e6cee4e5c9076fc592645c7ccbf409a9845 --- /dev/null +++ b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:581bfbb9957e4788c6c021b1fbfcf5cb45212ae9928965cf33ba4fa91d266494 +size 42239 diff --git a/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_07.txt b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf7283efbf1f82fdedc03b8c856efb6facfa586e --- /dev/null +++ b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_07.txt @@ -0,0 +1 @@ +1H NMR spectra of poly(aniline-co-phenol). diff --git a/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_08.jpg b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1258595db853ac15d39a039b0430cbc8120e8a3b --- /dev/null +++ b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_08.jpg @@ 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(a) background; (b) 0.05 mol/L aniline; (c) 0.05 mol/L phenol; and (d) 0.05 mol/L aniline and 0.05 mol/L phenol. diff --git a/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_09.jpg b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d6805ce07a5f198451b47ef4349a5cedf2773d8c --- /dev/null +++ b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:00539a89c8066953c34d93ff576231b4bf8275c9dc0c91ecff73cd373a237a4b +size 28676 diff --git a/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in water by electrochemical copolymerization/figure_09.txt b/Figures/Li et al. - 2024 - Coupled treatment of aniline and phenol in 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(a) Training stage and (b) testing stage. diff --git a/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_05.jpg b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e83bde7809429f7c96b91169994a5d7e02951558 --- /dev/null +++ b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ddc79fe6598c14ca8033d20604f8577217f5638619169ce8634dc42ef4c7f2bf +size 105472 diff --git a/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_05.txt b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..e38d0e2e3823a320d868f292d610f0779fbe4299 --- /dev/null +++ b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_05.txt @@ -0,0 +1 @@ +The Taylor diagram for all models. (a) Training stage and (b) testing stage. diff --git a/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_06.jpg b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4f5bd11169c81ef3883d73222dd3bf158b758711 --- /dev/null +++ b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:51df93566ee687c4050a200d77cc40f3cab7047b3ec374c2af2d5a9a065494a5 +size 15104 diff --git a/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_06.txt b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe18b7ede662e5f4a31523da119a426b95a493fe --- /dev/null +++ b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_06.txt @@ -0,0 +1 @@ +DDR values for all models. diff --git a/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_07.jpg b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8cb7d2fcca7e7bb3406646dfc7cc4c07c801d83f --- /dev/null +++ b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:047de48268947394295f6a25a7fa795c1b6d825263256e36c8e7694ec1f7af10 +size 24788 diff --git a/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_07.txt b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..08f96c76e92b1472d4a14b11d1f4f5ccb8836d25 --- /dev/null +++ b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_07.txt @@ -0,0 +1 @@ +Error density plot of GA-SVM in the testing phase. diff --git a/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_08.jpg b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ac00ebef10c789f3e4af38c962ca66ae13baff2a --- /dev/null +++ b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ced87239cbc82145eb52749d53ac3e71bef9cacc79e5fbc5179a99e41bcfd2fd +size 23239 diff --git a/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_08.txt b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..a92f049723d6d4359ac1fed900294857d3f92c65 --- /dev/null +++ b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_08.txt @@ -0,0 +1 @@ +Sensitivity coefficients of dimensionless parameters. diff --git a/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_09.jpg b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e10c6547e0aa9504c3e0ab059bba893c560acf18 --- /dev/null +++ b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:89ddd9d76e9867e1ee2e172051d991816bc929f6d2894266f5c818eb9e3169e8 +size 58388 diff --git a/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_09.txt b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..57af64be6400bd110425a2d35c9f574320daa390 --- /dev/null +++ b/Figures/Li et al. - 2024 - Discharge modeling and characteristic analysis of_/figure_09.txt @@ -0,0 +1 @@ +Variation of the dimensionless parameters versus predicted discharge coefficient. 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Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/figure_03.jpg" "b/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..b728e0637058a75d3da5a2975700bdf862d582ab --- /dev/null +++ "b/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:70fb40cc6e449034086e2b8baeb2fc06b0584c6f5a899b54ca8942710faf0079 +size 45674 diff --git "a/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/figure_03.txt" "b/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali 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(a) and the pH changes before and after sludge hydrolysis under different alkaline addition dosages (b). diff --git "a/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/figure_05.jpg" "b/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..24b0bea58a6d6b4c74133a365324fb50baacc54b --- /dev/null +++ "b/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3af8654e08f2bbb154bf89c3a6cf802bc52a4931b3cbe40ff484f6155d11dee5 +size 74354 diff --git "a/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a 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Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/table_01.txt" "b/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/table_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..53ea2a403c74a2c76e709831fa5c977788d9a356 --- /dev/null +++ "b/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/table_01.txt" @@ -0,0 +1 @@ +Pilot-scale study on enhanced anaerobic digestion of sludge by heat or alkali pretreatment diff --git "a/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/table_02.jpg" "b/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/table_02.jpg" new file 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anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/table_03.txt" "b/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/table_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..c23eaaac9b1a1aeeba56081084f7590bbee107aa --- /dev/null +++ "b/Figures/Li et al. - 2024 - Enhanced anaerobic digestion of waste-activated sludge by thermal\342\200\223alkali pretreatment a pilot-scale/table_03.txt" @@ -0,0 +1 @@ +Comparison of energy balance of different sludge AD processes (calculated by biogas price of 2.0 Yuan/m3, NaOH price of diff --git a/Figures/Li et al. - 2024 - Hydrodynamic model-driven evolutionary algorithm-based operation optimization of an experimental dra/figure_01.jpg b/Figures/Li et al. - 2024 - Hydrodynamic model-driven evolutionary algorithm-based operation optimization of an experimental dra/figure_01.jpg new file 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2024 - Hydrodynamic model-driven evolutionary algorithm-based operation optimization of an experimental dra/figure_07.txt @@ -0,0 +1 @@ +Schematic diagram of the inner boundary method of the drainage pumps. diff --git a/Figures/Li et al. - 2024 - Hydrodynamic model-driven evolutionary algorithm-based operation optimization of an experimental dra/figure_08.jpg b/Figures/Li et al. - 2024 - Hydrodynamic model-driven evolutionary algorithm-based operation optimization of an experimental dra/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..159d8be8ca7daf29f56eaeefeeb10c901d3af198 --- /dev/null +++ b/Figures/Li et al. - 2024 - Hydrodynamic model-driven evolutionary algorithm-based operation optimization of an experimental dra/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:164c0a2226198d316fe41c4bf079fcd4729e3e43674c2557cf239e8c22e30785 +size 121991 diff --git a/Figures/Li et al. - 2024 - Hydrodynamic model-driven 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curve for the QH hydrograph. diff --git a/Figures/Li et al. - 2024 - Hydrodynamic model-driven evolutionary algorithm-based operation optimization of an experimental dra/figure_10.jpg b/Figures/Li et al. - 2024 - Hydrodynamic model-driven evolutionary algorithm-based operation optimization of an experimental dra/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2c6b4e55ea60704cf6d3d1bc8c3b15e1e98d77f2 --- /dev/null +++ b/Figures/Li et al. - 2024 - Hydrodynamic model-driven evolutionary algorithm-based operation optimization of an experimental dra/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:df86cc0519ab8aed0f7bd0675a57e37042bd5dee0ead21f4ae31050069d7b7a0 +size 118109 diff --git a/Figures/Li et al. - 2024 - Hydrodynamic model-driven evolutionary algorithm-based operation optimization of an experimental dra/figure_10.txt b/Figures/Li et al. - 2024 - Hydrodynamic model-driven evolutionary algorithm-based operation 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+ "detection_error": null +} diff --git a/Figures/Li et al. - 2024 - Implementing a completely autotrophic nitrogen removal over nitrite process using a novel umbrella b/table_03.txt b/Figures/Li et al. - 2024 - Implementing a completely autotrophic nitrogen removal over nitrite process using a novel umbrella b/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a153a2e34832333bc6eb6284b8a41e17a70bb43 --- /dev/null +++ b/Figures/Li et al. - 2024 - Implementing a completely autotrophic nitrogen removal over nitrite process using a novel umbrella b/table_03.txt @@ -0,0 +1 @@ +Species abundance and diversity of four sludge samples diff --git a/Figures/Li et al. - 2024 - The feasibility and applicability of sequential ex/figure_01.jpg b/Figures/Li et al. - 2024 - The feasibility and applicability of sequential ex/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..21a2d1584d476dec0aeb4cd354b13e490bac628f --- /dev/null +++ b/Figures/Li et al. - 2024 - The feasibility and applicability of sequential ex/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:780c9e7db927111e9cc38abf4c088c67414d4839757e96027265a158bb725389 +size 18269 diff --git a/Figures/Li et al. - 2024 - The feasibility and applicability of sequential ex/figure_01.txt b/Figures/Li et al. - 2024 - The feasibility and applicability of sequential ex/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c77c6a52c5f91cc0c89d9f7098c33cafde431a8 --- /dev/null +++ b/Figures/Li et al. - 2024 - The feasibility and applicability of sequential ex/figure_01.txt @@ -0,0 +1 @@ +Sequential extraction route for biogenic material. diff --git a/Figures/Li et al. - 2024 - The feasibility and applicability of sequential ex/figure_02.jpg b/Figures/Li et al. - 2024 - The feasibility and applicability of sequential ex/figure_02.jpg new file mode 100644 index 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(a) Different extraction methods’ EPS extraction amounts. (b) The proportion of various components in EPS extracted by different methods. (c) Different extraction methods’ ALE extraction amounts. (d) Proportion of various blocks in ALE extracted by different methods. (e) Protein extraction amounts by different extraction methods. 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"text": "content", + "bbox_points": [ + 88.16, + 605.09, + 115.28, + 613.1 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 118.03, + 605.09, + 143.43, + 613.1 + ] + }, + { + "text": "439.69", + "bbox_points": [ + 187.54, + 605.09, + 211.62, + 613.1 + ] + }, + { + "text": "137.87", + "bbox_points": [ + 267.42, + 605.09, + 291.5, + 613.1 + ] + }, + { + "text": "223.34", + "bbox_points": [ + 346.51, + 605.09, + 370.59, + 613.1 + ] + }, + { + "text": "332.85", + "bbox_points": [ + 421.06, + 605.09, + 445.14, + 613.1 + ] + }, + { + "text": "116.50", + "bbox_points": [ + 504.73, + 605.09, + 528.81, + 613.1 + ] + } + ] + }, + { + "text": "Fc (%) 206 133 146 184 129", + "bbox_points": [ + 43.43, + 618.99, + 517.98, + 627.77 + ], + "words": [ + { + "text": "Fc", + "bbox_points": [ + 43.43, + 618.99, + 50.83, + 627.77 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 53.23, + 619.09, + 65.72, + 627.11 + ] + }, + { + "text": "206", + "bbox_points": [ + 187.54, + 619.09, + 200.79, + 627.11 + ] + }, + { + "text": "133", + "bbox_points": [ + 267.42, + 619.09, + 280.67, + 627.11 + ] + }, + { + "text": "146", + "bbox_points": [ + 346.51, + 619.09, + 359.75, + 627.11 + ] + }, + { + "text": "184", + "bbox_points": [ + 421.06, + 619.09, + 434.3, + 627.11 + ] + }, + { + "text": "129", + "bbox_points": [ + 504.73, + 619.09, + 517.98, + 627.11 + ] + } + ] + }, + { + "text": "Fs (%) 74 52 62 66 53", + "bbox_points": [ + 43.43, + 632.99, + 513.57, + 641.77 + ], + "words": [ + { + "text": "Fs", + "bbox_points": [ + 43.43, + 632.99, + 50.58, + 641.77 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 52.95, + 633.09, + 65.44, + 641.11 + ] + }, + { + "text": "74", + "bbox_points": [ + 187.54, + 633.09, + 196.37, + 641.11 + ] + }, + { + "text": "52", + "bbox_points": [ + 267.42, + 633.09, + 276.25, + 641.11 + ] + }, + { + "text": "62", + "bbox_points": [ + 346.51, + 633.09, + 355.34, + 641.11 + ] + }, + { + "text": "66", + "bbox_points": [ + 421.06, + 633.09, + 429.89, + 641.11 + ] + }, + { + "text": "53", + "bbox_points": [ + 504.74, + 633.09, + 513.57, + 641.11 + ] + } + ] + }, + { + "text": "Method NaOHH2SO4 NaOHNaOH Na2CO3H Na2CO3H2S04 NA2CO3NaOH", + "bbox_points": [ + 43.43, + 646.92, + 545.47, + 653.58 + ], + "words": [ + { + "text": "Method", + "bbox_points": [ + 43.43, + 646.92, + 67.66, + 652.92 + ] + }, + { + "text": "NaOHH2SO4", + "bbox_points": [ + 187.54, + 646.92, + 223.22, + 653.58 + ] + }, + { + "text": "NaOHNaOH", + "bbox_points": [ + 267.42, + 646.92, + 302.4, + 652.92 + ] + }, + { + "text": "Na2CO3H", + "bbox_points": [ + 346.51, + 646.92, + 373.4, + 653.58 + ] + }, + { + "text": "Na2CO3H2S04", + "bbox_points": [ + 421.06, + 646.92, + 460.59, + 653.58 + ] + }, + { + "text": "NA2CO3NaOH", + "bbox_points": [ + 504.74, + 646.92, + 545.47, + 653.58 + ] + } + ] + }, + { + "text": "Protein content (mg/L) 1,381.76 1,309.17 3,370.87 3,370.87 5,447.08", + "bbox_points": [ + 43.43, + 665.58, + 535.12, + 673.59 + ], + "words": [ + { + "text": "Protein", + "bbox_points": [ + 43.43, + 665.58, + 69.64, + 673.59 + ] + }, + { + "text": "content", + "bbox_points": [ + 72.0, + 665.58, + 99.22, + 673.59 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 101.93, + 665.58, + 127.33, + 673.59 + ] + }, + { + "text": "1,381.76", + "bbox_points": [ + 187.54, + 665.58, + 217.92, + 673.59 + ] + }, + { + "text": "1,309.17", + "bbox_points": [ + 267.42, + 665.58, + 297.8, + 673.59 + ] + }, + { + "text": "3,370.87", + "bbox_points": [ + 346.51, + 665.58, + 377.0, + 673.59 + ] + }, + { + "text": "3,370.87", + "bbox_points": [ + 421.06, + 665.58, + 451.55, + 673.59 + ] + }, + { + "text": "5,447.08", + "bbox_points": [ + 504.74, + 665.58, + 535.12, + 673.59 + ] + } + ] + }, + { + "text": "Polypeptide content (mg/L) 132.52 167.25 156.56 143.21 412.65", + "bbox_points": [ + 43.43, + 679.58, + 528.81, + 687.6 + ], + "words": [ + { + "text": "Polypeptide", + "bbox_points": [ + 43.43, + 679.58, + 85.78, + 687.6 + ] + }, + { + "text": "content", + "bbox_points": [ + 88.16, + 679.58, + 115.28, + 687.6 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 118.03, + 679.58, + 143.43, + 687.6 + ] + }, + { + "text": "132.52", + "bbox_points": [ + 187.54, + 679.58, + 211.62, + 687.6 + ] + }, + { + "text": "167.25", + "bbox_points": [ + 267.42, + 679.58, + 291.5, + 687.6 + ] + }, + { + "text": "156.56", + "bbox_points": [ + 346.51, + 679.58, + 370.59, + 687.6 + ] + }, + { + "text": "143.21", + "bbox_points": [ + 421.06, + 679.58, + 445.14, + 687.6 + ] + }, + { + "text": "412.65", + "bbox_points": [ + 504.73, + 679.58, + 528.81, + 687.6 + ] + } + ] + }, + { + "text": "Fc (%) 136 132 165 159 210", + "bbox_points": [ + 43.43, + 693.48, + 517.98, + 702.27 + ], + "words": [ + { + "text": "Fc", + "bbox_points": [ + 43.43, + 693.48, + 50.83, + 702.27 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 53.23, + 693.58, + 65.72, + 701.6 + ] + }, + { + "text": "136", + "bbox_points": [ + 187.54, + 693.58, + 200.79, + 701.6 + ] + }, + { + "text": "132", + "bbox_points": [ + 267.42, + 693.58, + 280.67, + 701.6 + ] + }, + { + "text": "165", + "bbox_points": [ + 346.51, + 693.58, + 359.75, + 701.6 + ] + }, + { + "text": "159", + "bbox_points": [ + 421.06, + 693.58, + 434.3, + 701.6 + ] + }, + { + "text": "210", + "bbox_points": [ + 504.73, + 693.58, + 517.98, + 701.6 + ] + } + ] + }, + { + "text": "Fs (%) 58 56 67 63 78", + "bbox_points": [ + 43.43, + 707.49, + 513.57, + 716.27 + ], + "words": [ + { + "text": "Fs", + "bbox_points": [ + 43.43, + 707.49, + 50.58, + 716.27 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 52.95, + 707.59, + 65.44, + 715.6 + ] + }, + { + "text": "58", + "bbox_points": [ + 187.54, + 707.59, + 196.37, + 715.6 + ] + }, + { + "text": "56", + "bbox_points": [ + 267.42, + 707.59, + 276.25, + 715.6 + ] + }, + { + "text": "67", + "bbox_points": [ + 346.51, + 707.59, + 355.34, + 715.6 + ] + }, + { + "text": "63", + "bbox_points": [ + 421.06, + 707.59, + 429.89, + 715.6 + ] + }, + { + "text": "78", + "bbox_points": [ + 504.74, + 707.59, + 513.57, + 715.6 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Li et al. - 2024 - The feasibility and applicability of sequential ex/table_02.txt b/Figures/Li et al. - 2024 - The feasibility and applicability of sequential ex/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..12fa39ce90f2e52d887f6e49d97284745e3e2491 --- /dev/null +++ b/Figures/Li et al. - 2024 - The feasibility and applicability of sequential ex/table_02.txt @@ -0,0 +1 @@ +Protein foamability and stability diff --git a/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_01.jpg b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e36daef080442093111f8e37a83ffa7ada85428e --- /dev/null +++ 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of the influence of different flotation media in the dissolved air flot/figure_02.jpg b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..08464d50c2ae9f3171410d2773debd8696f12ed2 --- /dev/null +++ b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9619e3273a29e3043b202c65a70a9c181bdbc8b871f0dad478b5d7f85186fc0d +size 43083 diff --git a/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_02.txt b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..406ddce159cab0a814fb1c292dfce881126ae98a --- /dev/null +++ b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_02.txt @@ -0,0 +1 @@ +Gas content distribution against height with different gases. diff --git a/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_03.jpg b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9589854d396bfd8a02f6f9002af84be01726ea63 --- /dev/null +++ b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a9f77a162217ba8340bb93b94f7778b1a1c72c86eae0cc9f727a111e71d7b756 +size 71163 diff --git a/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_03.txt b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba33740b5b79702fe822c567976fc36c5ffefaed --- /dev/null +++ b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_03.txt @@ -0,0 +1 @@ +Air content at different heights along the vertical cross-sections of the separation zone when using and not using the aggregation and breakage models, with air being the flotation medium, as well as Lundh’s experimental results. (a) x ¼ 1.05 m and (b) x ¼ 0.65 m. diff --git a/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_04.jpg b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e224c7531af65ed921f33ccfa840427862f7d28c --- /dev/null +++ b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:97ca1303f5f4c94be2d67d921393ea38411c3bf52e26ae880cdabea557265080 +size 64581 diff --git a/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_04.txt b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c82e3096b355f36471a5d8a111fdd0bda5b22c3 --- /dev/null +++ b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_04.txt @@ -0,0 +1 @@ +Carbon dioxide content at different heights along the vertical cross-sections of the separation zone when using and not using the aggregation and breakage models, with carbon dioxide being the flotation medium. (a) x ¼ 1.05 m and (b) x ¼ 0.65 m. diff --git a/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_05.jpg b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..47b5fdcd95370f34addd27eab665363ff0608024 --- /dev/null +++ b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6682921eea8f502141403d03d65e7de6fb4a706e4a7ef27a95906d0ed95cfc2a +size 65346 diff --git a/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_05.txt b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3ec76b6fa487c714937f98d179d0cdef9a4ec90 --- /dev/null +++ b/Figures/Li et al. - 2024 - Three-dimensional simulation of the influence of different flotation media in the dissolved air flot/figure_05.txt @@ -0,0 +1 @@ +Chlorine content at different heights along the vertical cross-sections of the separation zone when using and not using the aggregation and breakage models, with chlorine being the flotation medium. 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(Note: (a): 1,2, … , | 12 means group I, group II, … , group XII. 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0.04256 0.9937", + "bbox_points": [ + 43.43, + 114.58, + 545.54, + 123.61 + ], + "words": [ + { + "text": "1-Butyl-3-methyl", + "bbox_points": [ + 43.43, + 114.86, + 102.12, + 122.88 + ] + }, + { + "text": "imidazolium", + "bbox_points": [ + 104.49, + 114.86, + 149.68, + 122.88 + ] + }, + { + "text": "hexafluorophosphate", + "bbox_points": [ + 151.99, + 114.58, + 227.17, + 122.88 + ] + }, + { + "text": "La0.25%Ce1.5%", + "bbox_points": [ + 260.62, + 114.86, + 309.65, + 123.61 + ] + }, + { + "text": "y", + "bbox_points": [ + 340.84, + 114.76, + 344.58, + 122.76 + ] + }, + { + "text": "¼", + "bbox_points": [ + 346.11, + 114.58, + 352.27, + 122.58 + ] + }, + { + "text": "0.04256x", + "bbox_points": [ + 360.0, + 114.76, + 392.56, + 122.88 + ] + }, + { + "text": "þ", + "bbox_points": [ + 394.13, + 114.58, + 400.29, + 122.58 + ] + }, + { + "text": "0.15204", + "bbox_points": [ + 401.9, + 114.86, + 430.39, + 122.88 + ] + }, + { + "text": "0.04256", + "bbox_points": [ + 461.42, + 114.86, + 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{ + "text": "La0.25%Ce2.5% y ¼ 0.02769x þ 0.04575 0.02769 0.9949", + "bbox_points": [ + 260.62, + 135.62, + 545.54, + 144.58 + ], + "words": [ + { + "text": "La0.25%Ce2.5%", + "bbox_points": [ + 260.62, + 135.9, + 309.65, + 144.58 + ] + }, + { + "text": "y", + "bbox_points": [ + 340.84, + 135.79, + 344.58, + 143.79 + ] + }, + { + "text": "¼", + "bbox_points": [ + 346.11, + 135.62, + 352.27, + 143.62 + ] + }, + { + "text": "0.02769x", + "bbox_points": [ + 360.0, + 135.79, + 392.56, + 143.91 + ] + }, + { + "text": "þ", + "bbox_points": [ + 394.13, + 135.62, + 400.29, + 143.62 + ] + }, + { + "text": "0.04575", + "bbox_points": [ + 401.9, + 135.9, + 430.39, + 143.91 + ] + }, + { + "text": "0.02769", + "bbox_points": [ + 461.42, + 135.9, + 489.92, + 143.91 + ] + }, + { + "text": "0.9949", + "bbox_points": [ + 521.46, + 135.9, + 545.54, + 143.91 + ] + } + ] + }, + { + "text": "1-Hexyl-3-methyl imidazolium hexafluorophosphate La0.25%Ce1.5% y ¼ 0.03072x þ 0.10431 0.03072 0.9915", + 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+ "text": "0.9915", + "bbox_points": [ + 521.46, + 149.9, + 545.54, + 157.91 + ] + } + ] + }, + { + "text": "La0.25%Ce0.5% y ¼ 0.0259x – 0.09543 0.2592 0.9951", + "bbox_points": [ + 260.62, + 160.11, + 545.54, + 169.07 + ], + "words": [ + { + "text": "La0.25%Ce0.5%", + "bbox_points": [ + 260.62, + 160.39, + 309.65, + 169.07 + ] + }, + { + "text": "y", + "bbox_points": [ + 340.84, + 160.29, + 344.58, + 168.29 + ] + }, + { + "text": "¼", + "bbox_points": [ + 346.11, + 160.11, + 352.27, + 168.11 + ] + }, + { + "text": "0.0259x", + "bbox_points": [ + 360.0, + 160.29, + 388.2, + 168.4 + ] + }, + { + "text": "–", + "bbox_points": [ + 389.76, + 160.11, + 393.76, + 168.11 + ] + }, + { + "text": "0.09543", + "bbox_points": [ + 395.32, + 160.39, + 423.82, + 168.4 + ] + }, + { + "text": "0.2592", + "bbox_points": [ + 461.42, + 160.39, + 485.5, + 168.4 + ] + }, + { + "text": "0.9951", + "bbox_points": [ + 521.46, + 160.39, + 545.54, + 168.4 + ] + } + ] + }, + { + "text": "La0.25%Ce2.5% y ¼ 0.02256x þ 0.07468 0.02256 0.9981", + "bbox_points": [ + 260.62, + 170.6, + 545.54, + 179.62 + ], + "words": [ + { + "text": "La0.25%Ce2.5%", + "bbox_points": [ + 260.62, + 170.87, + 309.65, + 179.62 + ] + }, + { + "text": "y", + "bbox_points": [ + 340.84, + 170.77, + 344.58, + 178.77 + ] + }, + { + "text": "¼", + "bbox_points": [ + 346.11, + 170.6, + 352.27, + 178.6 + ] + }, + { + "text": "0.02256x", + "bbox_points": [ + 360.0, + 170.77, + 392.56, + 178.89 + ] + }, + { + "text": "þ", + "bbox_points": [ + 394.13, + 170.6, + 400.29, + 178.6 + ] + }, + { + "text": "0.07468", + "bbox_points": [ + 401.9, + 170.88, + 430.39, + 178.89 + ] + }, + { + "text": "0.02256", + "bbox_points": [ + 461.42, + 170.88, + 489.92, + 178.89 + ] + }, + { + "text": "0.9981", + "bbox_points": [ + 521.46, + 170.88, + 545.54, + 178.89 + ] + } + ] + }, + { + "text": "1-Octyl-3-methyl imidazolium hexafluorophosphate La0.25%Ce1.5% y ¼ 0.0276x þ 0.11559 0.0276 0.9920", + "bbox_points": [ + 43.43, + 184.6, + 545.54, 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"bbox_points": [ + 260.62, + 205.57, + 545.54, + 214.6 + ], + "words": [ + { + "text": "La0.25%Ce2.5%", + "bbox_points": [ + 260.62, + 205.85, + 309.65, + 214.6 + ] + }, + { + "text": "y", + "bbox_points": [ + 340.84, + 205.75, + 344.58, + 213.75 + ] + }, + { + "text": "¼", + "bbox_points": [ + 346.11, + 205.57, + 352.27, + 213.57 + ] + }, + { + "text": "0.01981x", + "bbox_points": [ + 360.0, + 205.75, + 392.56, + 213.87 + ] + }, + { + "text": "þ", + "bbox_points": [ + 394.13, + 205.57, + 400.29, + 213.57 + ] + }, + { + "text": "0.05418", + "bbox_points": [ + 401.9, + 205.85, + 430.39, + 213.87 + ] + }, + { + "text": "0.01981", + "bbox_points": [ + 461.42, + 205.85, + 489.92, + 213.87 + ] + }, + { + "text": "0.9951", + "bbox_points": [ + 521.46, + 205.85, + 545.54, + 213.87 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Liang et al. - 2024 - Cheap and efficient strategy for photocatalytic degradation of ionic liquids by LaCe-codoped TiO2@P/table_01.txt 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contamination in Chongqing, Southwest China/figure_04.txt @@ -0,0 +1 @@ +The workflow for predicting groundwater vulnerability based on DRASTIC-LU, and machine learning models include data collec- tion, data process, model evaluation, and groundwater vulnerability prediction. diff --git a/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_05.jpg b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fed306e02cfbc95b3e01a0b1401febc3dc6fd560 --- /dev/null +++ b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eff453c33c0a159262bd06c3ce43415db11e310d77d76a64b75493143149bbb1 +size 47532 diff --git a/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_05.txt b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d04b0e0630fbf593c79ecf9ae031c90ac3225f1 --- /dev/null +++ b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_05.txt @@ -0,0 +1 @@ +ROC curve and AUC scores of three models for test dataset. diff --git a/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_06.jpg b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4c9a4a1fb882aa083ac8e81c36fc873b01eef757 --- /dev/null +++ b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ce6b44d7879f53ebe780582c5c9db1375e33944443a6295198b899ac16c2c54d +size 44034 diff --git a/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_06.txt b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..37ea7d293e88f3c6be7384e9c028388932bd1946 --- /dev/null +++ b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_06.txt @@ -0,0 +1 @@ +The distribution pattern of groundwater nitrate vulnerability index. 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The SHAP values are normalized to the mean training data prediction, positive SHAP values indicate the positive impact on predictions, and negative values indicate the negative impact. diff --git a/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_08.jpg b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4056a8b44a93519bfbb8e75bcbca7cb36ddfe016 --- /dev/null +++ b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a0a23a263f30198cbceba0a68017461a5460dbb3c66d30e24730940c8604e9cd +size 171344 diff --git a/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_08.txt b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ae88aae8c8f72afdb1d50c3b617fab6948dcdf2 --- /dev/null +++ b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_08.txt @@ -0,0 +1 @@ +The scatter plot results of the correlation analysis between the groundwater nitrate vulnerability index predicted by the three machine learning models and the traditional linear model, and the normalized index of groundwater nitrate concentration. diff --git a/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_09.jpg b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0ec67bd036740eff88799487337c834d8b7ca9b6 --- /dev/null +++ b/Figures/Liang et al. - 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2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_11.txt new file mode 100644 index 0000000000000000000000000000000000000000..8eaa53791cd6d2ea66b26b4be113476b24429f19 --- /dev/null +++ b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/figure_11.txt @@ -0,0 +1 @@ +The groundwater vulnerability (GWV) to nitrate distribution map constructed using RF, XGB, SVM models, and DRASTIC-LU weight model. The groundwater vulnerability is classified into five categories using the equal interval method in GIS, namely, ‘very low,’ ‘low,’ ‘middle,’ ‘high,’ and ‘very high’. diff --git a/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/graphic_abstract.jpg b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b02b6eb6e2b2feefa56a18bf186c0f39918ebc47 --- /dev/null +++ b/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability assessment to nitrate contamination in Chongqing, Southwest China/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:687693ee867da5269d96f31fed821d1734f965cb743d09a2c6186a19c81d104e +size 172899 diff --git a/Figures/Liang et al. - 2024 - Enhanced groundwater vulnerability 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"No", + "bbox_points": [ + 252.57, + 193.79, + 263.4, + 201.79 + ] + }, + { + "text": "data", + "bbox_points": [ + 265.78, + 193.79, + 281.55, + 201.79 + ] + }, + { + "text": "No", + "bbox_points": [ + 410.63, + 193.79, + 421.46, + 201.79 + ] + }, + { + "text": "data", + "bbox_points": [ + 423.83, + 193.79, + 439.61, + 201.79 + ] + } + ] + }, + { + "text": "Bacterial disease 2001 3 Plague Eastern Petauke", + "bbox_points": [ + 64.01, + 207.9, + 439.12, + 215.91 + ], + "words": [ + { + "text": "Bacterial", + "bbox_points": [ + 64.01, + 207.9, + 96.08, + 215.91 + ] + }, + { + "text": "disease", + "bbox_points": [ + 98.48, + 207.9, + 124.2, + 215.91 + ] + }, + { + "text": "2001", + "bbox_points": [ + 145.02, + 207.9, + 162.69, + 215.91 + ] + }, + { + "text": "3", + "bbox_points": [ + 176.37, + 207.9, + 180.79, + 215.91 + ] + }, + { + "text": "Plague", + "bbox_points": [ + 212.03, + 207.9, + 236.1, + 215.91 + ] + }, + { + "text": "Eastern", + "bbox_points": [ + 252.57, + 207.9, + 279.86, + 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+ ] + }, + { + "text": "Northern", + "bbox_points": [ + 364.59, + 221.9, + 398.3, + 229.91 + ] + }, + { + "text": "No", + "bbox_points": [ + 410.63, + 221.8, + 421.46, + 229.8 + ] + }, + { + "text": "data", + "bbox_points": [ + 423.83, + 221.8, + 439.61, + 229.8 + ] + } + ] + }, + { + "text": "and Central", + "bbox_points": [ + 260.56, + 232.39, + 302.76, + 240.4 + ], + "words": [ + { + "text": "and", + "bbox_points": [ + 260.56, + 232.39, + 274.04, + 240.4 + ] + }, + { + "text": "Central", + "bbox_points": [ + 276.43, + 232.39, + 302.76, + 240.4 + ] + } + ] + }, + { + "text": "Bacterial disease 2005 8 Cholera Lusaka, Central, Copperbelt, Southern, Lusaka, Kabwe, Chibombo, Kapiri", + "bbox_points": [ + 64.01, + 246.39, + 534.83, + 254.41 + ], + "words": [ + { + "text": "Bacterial", + "bbox_points": [ + 64.01, + 246.39, + 96.08, + 254.41 + ] + }, + { + "text": "disease", + "bbox_points": [ + 98.48, + 246.39, + 124.2, + 254.41 + ] + }, + { + "text": "2005", + "bbox_points": [ + 145.02, + 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Western Mposhi, Mufulira, and Kasempa. No", + "bbox_points": [ + 260.56, + 256.88, + 550.53, + 264.89 + ], + "words": [ + { + "text": "Luapula,", + "bbox_points": [ + 260.56, + 256.88, + 292.26, + 264.89 + ] + }, + { + "text": "Eastern,", + "bbox_points": [ + 294.63, + 256.88, + 323.87, + 264.89 + ] + }, + { + "text": "and", + "bbox_points": [ + 326.27, + 256.88, + 339.75, + 264.89 + ] + }, + { + "text": "Western", + "bbox_points": [ + 342.08, + 256.88, + 371.81, + 264.89 + ] + }, + { + "text": "Mposhi,", + "bbox_points": [ + 418.62, + 256.88, + 447.91, + 264.89 + ] + }, + { + "text": "Mufulira,", + "bbox_points": [ + 450.25, + 256.88, + 483.4, + 264.89 + ] + }, + { + "text": "and", + "bbox_points": [ + 485.8, + 256.88, + 499.28, + 264.89 + ] + }, + { + "text": "Kasempa.", + "bbox_points": [ + 501.67, + 256.88, + 536.9, + 264.89 + ] + }, + { + "text": "No", + "bbox_points": [ + 539.21, + 256.88, + 550.53, + 264.89 + ] + } + ] + }, + { + "text": "data for other provinces", + "bbox_points": [ + 418.62, + 267.36, + 504.56, + 275.38 + ], + "words": [ + { + "text": "data", + "bbox_points": [ + 418.62, + 267.36, + 433.92, + 275.38 + ] + }, + { + "text": "for", + "bbox_points": [ + 436.14, + 267.36, + 446.37, + 275.38 + ] + }, + { + "text": "other", + "bbox_points": [ + 448.61, + 267.36, + 467.67, + 275.38 + ] + }, + { + "text": "provinces", + "bbox_points": [ + 470.04, + 267.36, + 504.56, + 275.38 + ] + } + ] + }, + { + "text": "Bacterial disease 2006 10 Cholera Lusaka, Central, Copperbelt, Eastern, No data", + "bbox_points": [ + 64.01, + 281.27, + 439.61, + 289.38 + ], + "words": [ + { + "text": "Bacterial", + "bbox_points": [ + 64.01, + 281.37, + 96.08, + 289.38 + ] + }, + { + "text": "disease", + "bbox_points": [ + 98.48, + 281.37, + 124.2, + 289.38 + ] + }, + { + "text": "2006", + "bbox_points": [ + 145.02, + 281.37, + 162.69, + 289.38 + ] + }, + { + "text": "10", + "bbox_points": [ + 176.37, + 281.37, + 185.2, + 289.38 + ] + }, + { + "text": "Cholera", + "bbox_points": [ + 212.03, + 281.37, + 240.57, + 289.38 + ] + }, + { + "text": "Lusaka,", + "bbox_points": [ + 252.57, + 281.37, + 280.69, + 289.38 + ] + }, + { + "text": "Central,", + "bbox_points": [ + 283.01, + 281.37, + 311.4, + 289.38 + ] + }, + { + "text": "Copperbelt,", + "bbox_points": [ + 313.74, + 281.37, + 355.45, + 289.38 + ] + }, + { + "text": "Eastern,", + "bbox_points": [ + 357.85, + 281.37, + 387.14, + 289.38 + ] + }, + { + "text": "No", + "bbox_points": [ + 410.63, + 281.27, + 421.46, + 289.27 + ] + }, + { + "text": "data", + "bbox_points": [ + 423.83, + 281.27, + 439.61, + 289.27 + ] + } + ] + }, + { + "text": "Luapula, NorthWestern, and Southern", + "bbox_points": [ + 260.56, + 291.86, + 399.33, + 299.87 + ], + "words": [ + { + "text": "Luapula,", + "bbox_points": [ + 260.56, + 291.86, + 292.26, + 299.87 + ] + }, + { + "text": "NorthWestern,", + "bbox_points": [ + 294.63, + 291.86, + 348.08, + 299.87 + ] + }, + { + "text": "and", + "bbox_points": [ + 350.42, + 291.86, + 363.9, + 299.87 + ] + }, + { + "text": 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"(12.4–22.4)", + "bbox_points": [ + 403.88, + 228.99, + 443.81, + 237.28 + ] + }, + { + "text": "72.0", + "bbox_points": [ + 466.01, + 229.27, + 481.26, + 237.28 + ] + }, + { + "text": "100", + "bbox_points": [ + 502.01, + 229.27, + 515.26, + 237.28 + ] + } + ] + }, + { + "text": "TKN (mg l 1) 19.6 ±0.7 (16.1–25.5) 9.0 ± 0.2 (7.8–11.2) 54.0 9.4 ± 0.2 (8.2–10.3) 51.9 15", + "bbox_points": [ + 64.01, + 241.74, + 510.85, + 251.29 + ], + "words": [ + { + "text": "TKN", + "bbox_points": [ + 64.01, + 243.27, + 81.75, + 251.29 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 84.08, + 243.27, + 97.82, + 251.29 + ] + }, + { + "text": "l", + "bbox_points": [ + 99.78, + 243.27, + 102.11, + 251.29 + ] + }, + { + "text": "1)", + "bbox_points": [ + 106.75, + 241.74, + 112.78, + 251.29 + ] + }, + { + "text": "19.6", + "bbox_points": [ + 130.0, + 243.27, + 145.24, + 251.29 + ] + }, + { + "text": "±0.7", + "bbox_points": [ + 147.63, + 242.99, + 164.75, + 251.29 + ] + }, + { + "text": "(16.1–25.5)", + 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(4.6–5.3) 36.4 2", + "bbox_points": [ + 64.01, + 269.75, + 506.43, + 279.29 + ], + "words": [ + { + "text": "TP", + "bbox_points": [ + 64.01, + 271.28, + 74.01, + 279.29 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 76.37, + 271.28, + 90.11, + 279.29 + ] + }, + { + "text": "l", + "bbox_points": [ + 92.07, + 271.28, + 94.4, + 279.29 + ] + }, + { + "text": "1)", + "bbox_points": [ + 99.04, + 269.75, + 105.07, + 279.29 + ] + }, + { + "text": "7.7", + "bbox_points": [ + 130.0, + 271.28, + 140.83, + 279.29 + ] + }, + { + "text": "±", + "bbox_points": [ + 142.36, + 271.0, + 148.68, + 279.0 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 150.29, + 271.28, + 161.12, + 279.29 + ] + }, + { + "text": "(7.2–8.5)", + "bbox_points": [ + 163.45, + 271.0, + 194.6, + 279.29 + ] + }, + { + "text": "5.0", + "bbox_points": [ + 230.0, + 271.28, + 240.83, + 279.29 + ] + }, + { + "text": "±", + "bbox_points": [ + 242.36, + 271.0, + 248.69, + 279.0 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 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"0.3", + "bbox_points": [ + 267.31, + 164.3, + 278.14, + 172.31 + ] + }, + { + "text": "13.5", + "bbox_points": [ + 407.22, + 164.3, + 422.47, + 172.31 + ] + }, + { + "text": "±", + "bbox_points": [ + 424.0, + 164.02, + 430.33, + 172.02 + ] + }, + { + "text": "0.4", + "bbox_points": [ + 431.88, + 164.3, + 442.72, + 172.31 + ] + } + ] + }, + { + "text": "COD (mg l 1) 2.5 ± 0.9 14.6 ± 0.3 15.6 ± 0.7", + "bbox_points": [ + 43.43, + 176.77, + 442.72, + 186.32 + ], + "words": [ + { + "text": "COD", + "bbox_points": [ + 43.43, + 178.3, + 62.36, + 186.32 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 64.69, + 178.3, + 78.43, + 186.32 + ] + }, + { + "text": "l", + "bbox_points": [ + 80.39, + 178.3, + 82.72, + 186.32 + ] + }, + { + "text": "1)", + "bbox_points": [ + 87.36, + 176.77, + 93.4, + 186.32 + ] + }, + { + "text": "2.5", + "bbox_points": [ + 147.46, + 178.3, + 158.29, + 186.32 + ] + }, + { + "text": "±", + "bbox_points": [ + 159.87, + 178.02, + 166.2, + 186.02 + ] + }, + { + "text": "0.9", + "bbox_points": [ + 167.75, + 178.3, + 178.59, + 186.32 + ] + }, + { + "text": "14.6", + "bbox_points": [ + 242.64, + 178.3, + 257.89, + 186.32 + ] + }, + { + "text": "±", + "bbox_points": [ + 259.43, + 178.02, + 265.75, + 186.02 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 267.3, + 178.3, + 278.14, + 186.32 + ] + }, + { + "text": "15.6", + "bbox_points": [ + 407.22, + 178.3, + 422.47, + 186.32 + ] + }, + { + "text": "±", + "bbox_points": [ + 424.0, + 178.02, + 430.33, + 186.02 + ] + }, + { + "text": "0.7", + "bbox_points": [ + 431.88, + 178.3, + 442.72, + 186.32 + ] + } + ] + }, + { + "text": "TSS (mg L 1) Not detected 10.4 ± 0.2 12.2 ± 0.5", + "bbox_points": [ + 43.43, + 190.77, + 442.72, + 200.32 + ], + "words": [ + { + "text": "TSS", + "bbox_points": [ + 43.43, + 192.31, + 57.91, + 200.32 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 60.32, + 192.31, + 74.06, + 200.32 + ] + }, + { + "text": "L", + "bbox_points": [ + 76.02, + 192.31, + 81.35, + 200.32 + ] + }, + { 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+ 215.0 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 71.43, + 206.31, + 85.18, + 214.32 + ] + }, + { + "text": "l", + "bbox_points": [ + 87.14, + 206.31, + 89.47, + 214.32 + ] + }, + { + "text": "1)", + "bbox_points": [ + 94.05, + 204.78, + 100.14, + 214.32 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 147.46, + 206.31, + 158.29, + 214.32 + ] + }, + { + "text": "±", + "bbox_points": [ + 159.87, + 206.03, + 166.2, + 214.03 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 167.75, + 206.31, + 178.59, + 214.32 + ] + }, + { + "text": "1.9", + "bbox_points": [ + 242.64, + 206.31, + 253.48, + 214.32 + ] + }, + { + "text": "±", + "bbox_points": [ + 255.06, + 206.03, + 261.39, + 214.03 + ] + }, + { + "text": "0.7", + "bbox_points": [ + 262.94, + 206.31, + 273.77, + 214.32 + ] + }, + { + "text": "2.1", + "bbox_points": [ + 407.22, + 206.31, + 418.06, + 214.32 + ] + }, + { + "text": "±", + "bbox_points": [ + 419.64, + 206.03, + 425.97, + 214.03 + ] + }, + { + "text": "0.4", + "bbox_points": [ + 427.52, + 206.31, + 438.35, + 214.32 + ] + } + ] + }, + { + "text": "TKN (mg l 1) 2.1 ± 1.1 9.0 ± 0.2 9.4 ± 0.2", + "bbox_points": [ + 43.43, + 218.78, + 438.35, + 228.27 + ], + "words": [ + { + "text": "TKN", + "bbox_points": [ + 43.43, + 220.25, + 61.17, + 228.27 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 63.55, + 220.25, + 77.3, + 228.27 + ] + }, + { + "text": "l", + "bbox_points": [ + 79.26, + 220.25, + 81.59, + 228.27 + ] + }, + { + "text": "1)", + "bbox_points": [ + 86.17, + 218.78, + 92.26, + 228.27 + ] + }, + { + "text": "2.1", + "bbox_points": [ + 147.46, + 220.25, + 158.29, + 228.27 + ] + }, + { + "text": "±", + "bbox_points": [ + 159.87, + 219.97, + 166.2, + 227.97 + ] + }, + { + "text": "1.1", + "bbox_points": [ + 167.75, + 220.25, + 178.59, + 228.27 + ] + }, + { + "text": "9.0", + "bbox_points": [ + 242.64, + 220.25, + 253.48, + 228.27 + ] + }, + { + "text": "±", + "bbox_points": [ + 255.06, + 219.97, + 261.39, + 227.97 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 262.94, + 220.25, + 273.77, + 228.27 + ] + }, + { + "text": "9.4", + "bbox_points": [ + 407.22, + 220.25, + 418.06, + 228.27 + ] + }, + { + "text": "±", + "bbox_points": [ + 419.64, + 219.97, + 425.97, + 227.97 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 427.52, + 220.25, + 438.35, + 228.27 + ] + } + ] + }, + { + "text": "N-NH4 (mg l 1) 0.9 ± 1.3 5.4 ± 0.1 5.7 ± 0.2", + "bbox_points": [ + 43.43, + 232.78, + 438.35, + 243.0 + ], + "words": [ + { + "text": "N-NH4", + "bbox_points": [ + 43.43, + 234.26, + 69.25, + 243.0 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 71.66, + 234.26, + 85.4, + 242.27 + ] + }, + { + "text": "l", + "bbox_points": [ + 87.36, + 234.26, + 89.69, + 242.27 + ] + }, + { + "text": "1)", + "bbox_points": [ + 94.34, + 232.78, + 100.37, + 242.27 + ] + }, + { + "text": "0.9", + "bbox_points": [ + 147.46, + 234.26, + 158.29, + 242.27 + ] + }, + { + "text": "±", + "bbox_points": [ + 159.87, + 233.98, + 166.2, + 241.98 + ] + }, + { + "text": "1.3", + "bbox_points": [ + 167.75, + 234.26, + 178.59, + 242.27 + ] + }, + { + "text": "5.4", + "bbox_points": [ + 242.64, + 234.26, + 253.48, + 242.27 + ] + }, + { + "text": "±", + "bbox_points": [ + 255.06, + 233.98, + 261.39, + 241.98 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 262.94, + 234.26, + 273.77, + 242.27 + ] + }, + { + "text": "5.7", + "bbox_points": [ + 407.22, + 234.26, + 418.06, + 242.27 + ] + }, + { + "text": "±", + "bbox_points": [ + 419.64, + 233.98, + 425.97, + 241.98 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 427.52, + 234.26, + 438.35, + 242.27 + ] + } + ] + }, + { + "text": "TP (mg l 1) 0.9 ± 0.8 5.0 ± 0.05 4.9 ± 0.05", + "bbox_points": [ + 43.43, + 246.79, + 442.77, + 256.28 + ], + "words": [ + { + "text": "TP", + "bbox_points": [ + 43.43, + 248.26, + 53.43, + 256.28 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 55.84, + 248.26, + 69.59, + 256.28 + ] + }, + { + "text": "l", + "bbox_points": [ + 71.55, + 248.26, + 73.88, + 256.28 + ] + }, + { + "text": "1)", + "bbox_points": [ + 78.46, + 246.79, + 84.5, + 256.28 + ] + }, + { + "text": "0.9", + "bbox_points": [ + 147.46, + 248.26, + 158.29, + 256.28 + ] + }, + { + "text": "±", + "bbox_points": [ + 159.87, + 247.98, + 166.2, + 255.98 + ] + }, + { + "text": "0.8", + "bbox_points": [ + 167.75, + 248.26, + 178.59, + 256.28 + ] + }, + { + "text": "5.0", + "bbox_points": [ + 242.64, + 248.26, + 253.48, + 256.28 + ] + }, + { + "text": "±", + "bbox_points": [ + 255.06, + 247.98, + 261.39, + 255.98 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 262.94, + 248.26, + 278.19, + 256.28 + ] + }, + { + "text": "4.9", + "bbox_points": [ + 407.22, + 248.26, + 418.06, + 256.28 + ] + }, + { + "text": "±", + "bbox_points": [ + 419.64, + 247.98, + 425.97, + 255.98 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 427.52, + 248.26, + 442.77, + 256.28 + ] + } + ] + }, + { + "text": "Cl (mg l 1) 16.1 ± 0.3 114.9 ± 0.9 115.2 ± 0.6", + "bbox_points": [ + 43.43, + 260.79, + 447.14, + 270.28 + ], + "words": [ + { + "text": "Cl", + "bbox_points": [ + 43.43, + 262.26, + 51.5, + 270.28 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 53.91, + 262.26, + 67.66, + 270.28 + ] + }, + { + "text": "l", + "bbox_points": [ + 69.62, + 262.26, + 71.95, + 270.28 + ] + }, + { + "text": "1)", + "bbox_points": [ + 76.54, + 260.79, + 82.62, + 270.28 + ] + }, + { + "text": "16.1", + "bbox_points": [ + 147.46, + 262.26, + 162.71, + 270.28 + ] + }, + { + "text": "±", + "bbox_points": [ + 164.24, + 261.98, + 170.57, + 269.98 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 172.12, + 262.26, + 182.95, + 270.28 + ] + }, + { + "text": "114.9", + "bbox_points": [ + 242.64, + 262.26, + 262.31, + 270.28 + ] + }, + { + "text": "±", + "bbox_points": [ + 263.85, + 261.98, + 270.18, + 269.98 + ] + }, + { + "text": "0.9", + "bbox_points": [ + 271.73, + 262.26, + 282.56, + 270.28 + ] + }, + { + "text": "115.2", + "bbox_points": [ + 407.22, + 262.26, + 426.89, + 270.28 + ] + }, + { + "text": "±", + "bbox_points": [ + 428.43, + 261.98, + 434.75, + 269.98 + ] + }, + { + "text": "0.6", + "bbox_points": [ + 436.31, + 262.26, + 447.14, + 270.28 + ] + } + ] + }, + { + "text": "Ca (mg l 1) 24.1 ± 0.3 58.0 ± 0.5 59.7 ± 0.6", + "bbox_points": [ + 43.43, + 274.79, + 442.72, + 284.28 + ], + "words": [ + { + "text": "Ca", + "bbox_points": [ + 43.43, + 276.27, + 53.33, + 284.28 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 55.73, + 276.27, + 69.47, + 284.28 + ] + }, + { + "text": "l", + "bbox_points": [ + 71.43, + 276.27, + 73.76, + 284.28 + ] + }, + { + "text": "1)", + "bbox_points": [ + 78.41, + 274.79, + 84.44, + 284.28 + ] + }, + { + "text": "24.1", + "bbox_points": [ + 147.46, + 276.27, + 162.71, + 284.28 + ] + }, + { + "text": "±", + "bbox_points": [ + 164.24, + 275.99, + 170.57, + 283.99 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 172.12, + 276.27, + 182.95, + 284.28 + ] + }, + { + "text": "58.0", + "bbox_points": [ + 242.64, + 276.27, + 257.89, + 284.28 + ] + }, + { + "text": "±", + "bbox_points": [ + 259.43, + 275.99, + 265.75, + 283.99 + ] + }, + { + "text": "0.5", + "bbox_points": [ + 267.31, + 276.27, + 278.14, + 284.28 + ] + }, + { + "text": "59.7", + "bbox_points": [ + 407.22, + 276.27, + 422.47, + 284.28 + ] + }, + { + "text": "±", + "bbox_points": [ + 424.0, + 275.99, + 430.33, + 283.99 + ] + }, + { + "text": "0.6", + "bbox_points": [ + 431.89, + 276.27, + 442.72, + 284.28 + ] + } + ] + }, + { + "text": "K (mg l 1) 2.9 ± 1.0 68.5 ± 0.4 73.5 ± 1.2", + "bbox_points": [ + 43.43, + 288.74, + 442.72, + 298.29 + ], + "words": [ + { + "text": "K", + "bbox_points": [ + 43.43, + 290.27, + 49.43, + 298.29 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 51.82, + 290.27, + 65.56, + 298.29 + ] + }, + { + "text": "l", + "bbox_points": [ + 67.52, + 290.27, + 69.85, + 298.29 + ] + }, + { + "text": "1)", + "bbox_points": [ + 74.49, + 288.74, + 80.53, + 298.29 + ] + }, + { + "text": "2.9", + "bbox_points": [ + 147.46, + 290.27, + 158.29, + 298.29 + ] + }, + { + "text": "±", + "bbox_points": [ + 159.87, + 289.99, + 166.2, + 297.99 + ] + }, + { + "text": "1.0", + "bbox_points": [ + 167.75, + 290.27, + 178.59, + 298.29 + ] + }, + { + "text": "68.5", + "bbox_points": [ + 242.64, + 290.27, + 257.89, + 298.29 + ] + }, + { + "text": "±", + "bbox_points": [ + 259.43, + 289.99, + 265.75, + 297.99 + ] + }, + { + "text": "0.4", + "bbox_points": [ + 267.31, + 290.27, + 278.14, + 298.29 + ] + }, + { + "text": "73.5", + "bbox_points": [ + 407.22, + 290.27, + 422.47, + 298.29 + ] + }, + { + "text": "±", + "bbox_points": [ + 424.0, + 289.99, + 430.33, + 297.99 + ] + }, + { + "text": "1.2", + "bbox_points": [ + 431.88, + 290.27, + 442.72, + 298.29 + ] + } + ] + }, + { + "text": "Mg (mg l 1) 12.2 ± 1.4 20.3 ± 0.3 21.5 ± 0.2", + "bbox_points": [ + 43.43, + 302.74, + 442.72, + 312.29 + ], + "words": [ + { + "text": "Mg", + "bbox_points": [ + 43.43, + 304.27, + 55.17, + 312.29 + ] + }, + { + "text": "(mg", + "bbox_points": [ + 57.54, + 304.27, + 71.29, + 312.29 + ] + }, + { + "text": "l", + "bbox_points": [ + 73.25, + 304.27, + 75.57, + 312.29 + ] + }, + { + "text": "1)", + "bbox_points": [ + 80.22, + 302.74, + 86.25, + 312.29 + ] + }, + { + "text": "12.2", + "bbox_points": [ + 147.46, + 304.27, + 162.71, + 312.29 + ] + }, + { + "text": "±", + "bbox_points": [ + 164.24, + 303.99, + 170.57, + 311.99 + ] + }, + { + "text": "1.4", + "bbox_points": [ + 172.12, + 304.27, + 182.95, + 312.29 + ] + }, + { + "text": "20.3", + "bbox_points": [ + 242.64, + 304.27, + 257.89, + 312.29 + ] + }, + { + "text": "±", + "bbox_points": [ + 259.43, + 303.99, + 265.75, + 311.99 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 267.31, + 304.27, + 278.14, + 312.29 + ] + }, + { + "text": "21.5", + "bbox_points": [ + 407.22, + 304.27, + 422.47, + 312.29 + ] + }, + { + "text": "±", + "bbox_points": [ + 424.0, + 303.99, + 430.33, + 311.99 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 431.89, + 304.27, + 442.72, + 312.29 + ] + } + ] + }, + { + "text": "Na 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"(þ20.34)", + "bbox_points": [ + 249.84, + 419.99, + 281.15, + 428.28 + ] + } + ] + }, + { + "text": "August 40 0.0 (þ14.43) 0.0 (þ15.24)", + "bbox_points": [ + 51.42, + 433.99, + 281.15, + 442.29 + ], + "words": [ + { + "text": "August", + "bbox_points": [ + 51.42, + 434.27, + 76.28, + 442.29 + ] + }, + { + "text": "40", + "bbox_points": [ + 127.9, + 434.27, + 136.73, + 442.29 + ] + }, + { + "text": "0.0", + "bbox_points": [ + 177.33, + 434.27, + 188.17, + 442.29 + ] + }, + { + "text": "(þ14.43)", + "bbox_points": [ + 190.54, + 433.99, + 221.85, + 442.29 + ] + }, + { + "text": "0.0", + "bbox_points": [ + 236.63, + 434.27, + 247.47, + 442.29 + ] + }, + { + "text": "(þ15.24)", + "bbox_points": [ + 249.84, + 433.99, + 281.15, + 442.29 + ] + } + ] + }, + { + "text": "September 40 0.0 (þ16.13) 0.0 (þ15.16", + "bbox_points": [ + 51.42, + 447.99, + 278.41, + 456.29 + ], + "words": [ + { + "text": "September", + "bbox_points": [ + 51.42, + 448.27, + 89.78, + 456.29 + ] + }, + { + "text": "40", + "bbox_points": [ + 127.9, + 448.27, + 136.73, + 456.29 + ] + }, + { + "text": "0.0", + "bbox_points": [ + 177.33, + 448.27, + 188.16, + 456.29 + ] + }, + { + "text": "(þ16.13)", + "bbox_points": [ + 190.54, + 447.99, + 221.85, + 456.29 + ] + }, + { + "text": "0.0", + "bbox_points": [ + 236.63, + 448.27, + 247.46, + 456.29 + ] + }, + { + "text": "(þ15.16", + "bbox_points": [ + 249.84, + 447.99, + 278.41, + 456.29 + ] + } + ] + }, + { + "text": "Total potassium 240.0 1.5 (þ59.90)) 0.0 (þ80.89)", + "bbox_points": [ + 51.42, + 462.0, + 281.15, + 470.29 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 51.42, + 462.28, + 69.88, + 470.29 + ] + }, + { + "text": "potassium", + "bbox_points": [ + 72.28, + 462.28, + 108.65, + 470.29 + ] + }, + { + "text": "240.0", + "bbox_points": [ + 127.9, + 462.28, + 147.56, + 470.29 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 177.33, + 462.28, + 188.16, + 470.29 + ] + }, + { + "text": "(þ59.90))", + "bbox_points": [ + 190.54, + 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Filled symbols (●) show deter- mined removal rates and unfilled symbols (○) show that the removal was higher than the indicated level (due to reduction below the quantification limit).", + "image": "figure_05.jpg", + "caption_file": "figure_05.txt", + "figure_bbox_points": [ + 87.66, + 342.32, + 507.73, + 611.48 + ], + "caption_bbox_points": [ + 70.87, + 612.96, + 524.45, + 641.15 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 69262, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_06", + "page": 8, + "caption": "Reduction of dissolved organic matter (DOC) at different PAC doses with or without the addition of ozone.", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 141.63, + 77.28, + 453.7, + 336.8 + ], + "caption_bbox_points": [ + 70.87, + 338.29, + 497.58, + 346.46 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 34889, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of file diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_01.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..586a4bba1f6d6f025b5f13b09e57306a5b3dc829 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3c4f4235ebd456b35c4d19765c606f9f15e14518e7739fadbcd801905ecef876 +size 109128 diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_01.txt b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf82699959258b264f5085ab6e6cd6ed3111fefb --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_01.txt @@ -0,0 +1 @@ +Distribution of flux sites used in this study. diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_02.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cbdee74220bbfde12dc46fa35ba873b234ac443d --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:af1336590f0c101921805e14698df71c42a2228810c290e01f3cbf8802d26684 +size 65323 diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_02.txt b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7d6d3dfb17a460555a78ed09d0d05cd9602fc5b --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_02.txt @@ -0,0 +1 @@ +Comparison of potential evaporation estimated by different potential evaporation models and observations at seven Taihu Lake sites. (a) Epo estimated by P-T (α¼1.26); (b) Epo estimated by YR2019; (c) Epo estimated by ABL2021. diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_03.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..35427419187736d3f3d202f37ed5e6ff02dfbde8 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a38fc395e31cfd944ad1c8914a2a1dfb93f973a7d8e1b3159649bc11041cd54 +size 21209 diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_03.txt b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..03153966b4935feb08b86c03107ac30d14dc4443 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_03.txt @@ -0,0 +1 @@ +Comparison of potential evaporation estimated using different models for all study sites. diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_04.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6909d9d313db3f3f62e20d11332524215cef14a0 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a6989352c1899d13c78731b23820b8b93840bc61350de7c00240b60bd0eade58 +size 80436 diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_04.txt b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b7438361cd593ad00c77fc31d59fd862b6d1216 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_04.txt @@ -0,0 +1 @@ +The accuracy of actual evaporation estimated by B2015 with different potential evaporation models. (a) MAE by using P-T(α¼1.26) in B2015; (b) MAE by using YR2019 in B2015; (c)MAE by using ABL2021 in B2015; (d) RMSE by using P-T(α¼1.26) in B2015; (e) RMSE by using YR2019 in B2015; (f) RMSE by using ABL2021in B2015. diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_05.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cc674e282f50bc5854d2a928aeebbb428d2478c5 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:39b2936f491064ae1e3e81306e1af63e9e1a45bc991fff3ca40607fc0c7a9d8e +size 83059 diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_05.txt b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..133fcd8d87eec02a56a1a90797dbdddbcab74a83 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_05.txt @@ -0,0 +1 @@ +The accuracy of actual evaporation estimation by G2021 with different potential evaporation models. (a) MAE by using P-T(α¼1.26) in G2021; (b) MAE by using YR2019 in G2021; (c)MAE by using ABL2021 in G2021; (d) RMSE by using P-T(α¼1.26) in G2021; (e) RMSE by using YR2019 in G2021; (f) RMSE by using ABL2021 in G2021. diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_06.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ff54c24774db8e7e8affc96901483bcf20e047ac --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:feed87274093f3fd900804c1cdbad2790fdf5f327ea269dd29367eb047558b88 +size 68073 diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_06.txt b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd52eb62a1deffa616c50ab0d7a4c8570c2a6479 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_06.txt @@ -0,0 +1 @@ +Comparison of the accuracy of various potential evaporation models applied to the B2015 and G2021 functions. (a) MAE of B2015; (b) MAE of G2021; (c) RMSE of B2015; (d) RMSE of G2021. diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_07.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b2eccede03ebb9270fb7e1f929629f9dcce78f81 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:77d8e3a0da666ed8e3a288b06c3a9999440bebb97cbb4877321d005f7d926679 +size 120469 diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_07.txt b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0dab16e6f857e13ad94aede146d7a1efb1bfe54 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_07.txt @@ -0,0 +1 @@ +RMSE and MAE of B2015 and G2021 using three potential evaporation models with different underlying surface types. (a) MAE of B2015; (b) MAE of G2021; (c) RMSE of B2015; (d) RMSE of G2021. diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_08.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4c40796f179e3e83c8c866322052b0968926758a --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a56b809b07d52ed264104b835a26b7aef053b6a14ee980d5b768f2d49ca0006b +size 67259 diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_08.txt b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..6683bc684cd2a50ed00d04e460fe2004774fba3a --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_08.txt @@ -0,0 +1 @@ +RMSE and MAE of complementary functions using three Epo models. (a) MAE by using P-T(α=1.26); (b) MAE by using YR2019; (c) MAE by using ABL2021; (d)RMSE by using P-T(α=1.26); (e) RMSE by using YR2019; (f) RMSE by using ABL2021. diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_09.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c433bc47be7a93ef33c1e2b95daf6cc0f232ea32 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ec649e907b207e06794386ea665e9088a5cc797e3fcedca7d12767c21afde65a +size 121206 diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_09.txt b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..3eca60567a074f3e586e5a15499624ad3c5b5a53 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_09.txt @@ -0,0 +1 @@ +Trends in the accuracy of the B2015 and G2021 functions when potential evaporation is calculated by the three models as the varied aridity index. (a) MAE by using P-T(α¼1.26); (b) MAE by using YR2019; (c) MAE by using ABL2021; (d)RMSE by using P-T(α¼1.26); (e) RMSE by using YR2019; (f) RMSE by using ABL2021. diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_10.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..991727c548f4e8d3b0965af203d9d5ce1d2e611f --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5599a042c1a6516baa461fd3f02d93d3dae11d44dab2c2ddf3ae07f12787e6d4 +size 30832 diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_10.txt b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..91647210d62e212aeda13e08277e79b845574d19 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_10.txt @@ -0,0 +1 @@ +Changes of parameter c with aridity index in the B2015 using different models to calculate potential evaporation. diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_11.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_11.jpg new file mode 100644 index 0000000000000000000000000000000000000000..13fe9b5074a6bb82e05312db89d2e9c70a033e20 --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_11.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:136e2c5978e928e706e1fcd0eb57c365e78da643d9d6a2ef6383b96a808ebfe1 +size 33055 diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_11.txt b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_11.txt new file mode 100644 index 0000000000000000000000000000000000000000..788cce51def80113a91b16b711b644ffe65235db --- /dev/null +++ b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_11.txt @@ -0,0 +1 @@ +Changes of parameter d with aridity index in the G2021 using different models to calculate potential evaporation. diff --git a/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_12.jpg b/Figures/Liu and Gao - 2024 - Can the atmospheric boundary layer-based potential evaporation model increase the accuracy of genera/figure_12.jpg new file mode 100644 index 0000000000000000000000000000000000000000..405a52af912dcc8cd9b24182580c46e4181f331c --- /dev/null +++ b/Figures/Liu and Gao - 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River, China/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e81ff28b89e5d7362212010454e24797d537315f993b55a375c3fdcf6b197a41 +size 182853 diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_01.txt b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..4e72a28c797985a7f1a87d4fbd4c8af7a6193c72 --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_01.txt @@ -0,0 +1 @@ +Study roadmap. diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_02.jpg b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..76c7a97fe75cfe7dbbdf29de3ad1c0ff1ea59e78 --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5749075e50b76f6335a7b5a787d18801715f00eb5af94d5849562c0682536d59 +size 140206 diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_02.txt b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..4eb4af0660ccda51767e9665b7a62656f61c2875 --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_02.txt @@ -0,0 +1 @@ +Location of the Qinglong River watershed. diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_03.jpg b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b0db0ab11d866dd13ff496323d70bf04549521cb --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ac4c36929e8a3f53c09d5f299374e126e98a15d9c968383759cf928dffc4849e +size 181694 diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_03.txt b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7f9e6a6d5f0a324becb37e42c65183c74cf5f93 --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_03.txt @@ -0,0 +1 @@ +Daily precipitation variability under historical phase, RCP4.5 and RCP8.5. Short-term P1 (2021–2030), medium-term P2 (2031– 2050), and long-term P3 (2051–2100). diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_04.jpg b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f046f56ffdd829f15541d09efa5bce574194003f --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:92d339da83a5403769188aee3b9b5596a5bd6dc464aa297d694c21c66969bcc6 +size 142526 diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_04.txt b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..74065eb2132a35c045f208c0193567fc34ff8207 --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_04.txt @@ -0,0 +1 @@ +Annual seasonal precipitation variation over time under the RCP4.5 scenario. Baseline phase P0 (2001–2020), short-term P1 (2021–2030), medium-term P2 (2031–2050), and long-term P3 (2051–2100). diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_05.jpg b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..dfdc36d2212e1828aa5f8753c62be4c1ffd4a492 --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f80fd1775c06fd71de9e261bd6b7177197d5fc762303a7ee91c7c572bc4286ea +size 151106 diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_05.txt b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd4c5e301446b8fe40ffecfebdda0e5aff11cc49 --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_05.txt @@ -0,0 +1 @@ +Annual seasonal precipitation variation over time under the RCP8.5 scenario. Baseline period P0 (2001–2020), short-term P1 (2021–2030), medium-term P2 (2031–2050), and long-term P3 (2051–2100). diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_06.jpg b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..aa41e9bf148a93ab4fd24227d22fce8ed2065f4b --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b4d517f454ee488407a4b40d6f506d9cf551f703b580b20c6196ca3a6eb2bb34 +size 63644 diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_06.txt b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5690cca0736177103c40742b074650370e3c6cf --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_06.txt @@ -0,0 +1 @@ +Variation in annual precipitation (%) from the baseline phase mean is depicted. The solid line to the left of the dashed line illustrates the variation in annual precipitation relative to the baseline phase annual mean precipitation. On the right side of the dashed line, the solid line represents the variation in the future annual precipitation MME mean relative to the baseline phase mean annual precipitation. The shaded area represents one inter-model standard deviation around the MME mean (solid line). diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_07.jpg b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..756042d6fc2ae49ec638e4314fb1268f8bde7e10 --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bc83089a2702ddec4797cca53d252d4571734c75d160698dabfc4c37e2de4942 +size 93389 diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_07.txt b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3ca7e1724329b19551dc3485f9d3c00d7e698e6 --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_07.txt @@ -0,0 +1 @@ +Change in (a) Tmax (°C) and (b) Tmin (°C) from the baseline phase average. The solid line indicates the temperature departure, illustrating the extent to which the temperature deviates from the mean temperature of the baseline phase. The shaded area represents one inter-model standard deviation from the MME mean (solid line). diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_08.jpg b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c63b168418251651f4092ac7a1e3bf7903a5fb26 --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:56dd9ef64df9f90a3c36f56b241ac3bf9e08d71630004c5d66e3dc7cc2cc1836 +size 118733 diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_08.txt b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c0fc87cc2a48fd0c9ad7546f24ba98596c3a4fa --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_08.txt @@ -0,0 +1 @@ +Monthly changes in Tmax, Tmin for RCP4.5, and Tmax, Tmin for RCP8.5 over time. diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_09.jpg b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a10c78616a502e6d8c9ff4d0813cbe24594e60ff --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1d642c7907d10ce7a13769fcb8ba729462e7430451620f3fa296460d1dc3d9de +size 35423 diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_09.txt b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..61eff6c032ca4cb6534b3e4f3fef6269651be3ce --- /dev/null +++ b/Figures/Liu and Tang - 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Short-term P1 (2021–2030), medium-term P2 (2031–2050), and long-term P3 (2051–2100). diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_13.jpg b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_13.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5d8af22fe8995276bca72d8fbee36cdf47e7779f --- /dev/null +++ b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_13.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:486f7cd23c7647e8813e2c56c2f3980f0ab36201eeaa60c9e20757ab1bde174e +size 134783 diff --git a/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_13.txt b/Figures/Liu and Tang - 2024 - Impacts of climate change on streamflow of Qinglong River, China/figure_13.txt new file mode 100644 index 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{ + "text": "m", + "bbox_points": [ + 245.15, + 442.49, + 252.15, + 450.51 + ] + }, + { + "text": "2", + "bbox_points": [ + 274.17, + 442.49, + 278.59, + 450.51 + ] + }, + { + "text": "n6", + "bbox_points": [ + 298.78, + 442.39, + 307.9, + 450.51 + ] + }, + { + "text": "Manning", + "bbox_points": [ + 339.77, + 442.49, + 372.23, + 450.51 + ] + }, + { + "text": "roughness", + "bbox_points": [ + 374.58, + 442.49, + 410.79, + 450.51 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 413.18, + 442.21, + 450.62, + 450.51 + ] + }, + { + "text": "of", + "bbox_points": [ + 452.98, + 442.49, + 460.05, + 450.51 + ] + }, + { + "text": "/", + "bbox_points": [ + 481.78, + 442.49, + 485.36, + 450.51 + ] + }, + { + "text": "0.012", + "bbox_points": [ + 503.44, + 442.49, + 523.1, + 450.51 + ] + } + ] + }, + { + "text": "pipe 6", + "bbox_points": [ + 347.76, + 452.98, + 370.03, + 460.99 + ], + "words": [ + { + "text": "pipe", + "bbox_points": [ + 347.76, + 452.98, + 363.24, + 460.99 + ] + }, + { + "text": "6", + "bbox_points": [ + 365.62, + 452.98, + 370.03, + 460.99 + ] + } + ] + }, + { + "text": "L7 Length of pipe 7 m 4,050 D7 Diameter of pipe 7 m 2.2", + "bbox_points": [ + 43.43, + 466.88, + 514.27, + 475.0 + ], + "words": [ + { + "text": "L7", + "bbox_points": [ + 43.43, + 466.88, + 53.01, + 475.0 + ] + }, + { + "text": "Length", + "bbox_points": [ + 84.93, + 466.98, + 110.32, + 475.0 + ] + }, + { + "text": "of", + "bbox_points": [ + 112.66, + 466.98, + 119.73, + 475.0 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 122.12, + 466.98, + 137.6, + 475.0 + ] + }, + { + "text": "7", + "bbox_points": [ + 139.98, + 466.98, + 144.4, + 475.0 + ] + }, + { + "text": "m", + "bbox_points": [ + 245.15, + 466.98, + 252.15, + 475.0 + ] + }, + { + "text": "4,050", + "bbox_points": [ + 274.17, + 466.98, + 293.84, + 475.0 + ] + }, + { + "text": "D7", + "bbox_points": [ + 298.78, + 466.88, + 309.77, + 475.0 + ] + }, + { + "text": "Diameter", + "bbox_points": [ + 339.77, + 466.98, + 373.57, + 475.0 + ] + }, + { + "text": "of", + "bbox_points": [ + 375.71, + 466.98, + 382.78, + 475.0 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 385.18, + 466.98, + 400.66, + 475.0 + ] + }, + { + "text": "7", + "bbox_points": [ + 403.04, + 466.98, + 407.45, + 475.0 + ] + }, + { + "text": "m", + "bbox_points": [ + 481.78, + 466.98, + 488.78, + 475.0 + ] + }, + { + "text": "2.2", + "bbox_points": [ + 503.44, + 466.98, + 514.27, + 475.0 + ] + } + ] + }, + { + "text": "n7 Manning roughness coefficient of pipe 7 / 0.012 L8 Length of pipe 8 m 2,140", + "bbox_points": [ + 43.43, + 480.7, + 523.1, + 489.0 + ], + "words": [ + { + "text": "n7", + "bbox_points": [ + 43.43, + 480.88, + 52.61, + 489.0 + ] + }, + { + "text": "Manning", + "bbox_points": [ + 84.93, + 480.98, + 117.4, + 489.0 + ] + }, + { + "text": "roughness", + "bbox_points": [ + 119.74, + 480.98, + 155.95, + 489.0 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 158.35, + 480.7, + 195.78, + 489.0 + ] + }, + { + "text": "of", + "bbox_points": [ + 198.15, + 480.98, + 205.22, + 489.0 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 207.62, + 480.98, + 223.1, + 489.0 + ] + }, + { + "text": "7", + "bbox_points": [ + 225.48, + 480.98, + 229.89, + 489.0 + ] + }, + { + "text": "/", + "bbox_points": [ + 245.15, + 480.98, + 248.72, + 489.0 + ] + }, + { + "text": "0.012", + "bbox_points": [ + 274.17, + 480.98, + 293.84, + 489.0 + ] + }, + { + "text": "L8", + "bbox_points": [ + 298.78, + 480.88, + 308.35, + 489.0 + ] + }, + { + "text": "Length", + "bbox_points": [ + 339.77, + 480.98, + 365.16, + 489.0 + ] + }, + { + "text": "of", + "bbox_points": [ + 367.49, + 480.98, + 374.56, + 489.0 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 376.96, + 480.98, + 392.44, + 489.0 + ] + }, + { + "text": "8", + "bbox_points": [ + 394.82, + 480.98, + 399.23, + 489.0 + ] + }, + { + "text": "m", + "bbox_points": [ + 481.78, + 480.98, + 488.78, + 489.0 + ] + }, + { + "text": "2,140", + "bbox_points": [ + 503.44, + 480.98, + 523.1, + 489.0 + ] + } + ] + }, + { + "text": "D8 Diameter of pipe 8 m 2 n8 Manning roughness coefficient of / 0.012", + "bbox_points": [ + 43.44, + 494.71, + 523.1, + 503.0 + ], + "words": [ + { + "text": "D8", + "bbox_points": [ + 43.44, + 494.88, + 54.43, + 503.0 + ] + }, + { + "text": "Diameter", + "bbox_points": [ + 84.93, + 494.99, + 118.73, + 503.0 + ] + }, + { + "text": "of", + "bbox_points": [ + 120.88, + 494.99, + 127.95, + 503.0 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 130.35, + 494.99, + 145.83, + 503.0 + ] + }, + { + "text": "8", + "bbox_points": [ + 148.2, + 494.99, + 152.62, + 503.0 + ] + }, + { + "text": "m", + "bbox_points": [ + 245.15, + 494.99, + 252.15, + 503.0 + ] + }, + { + "text": "2", + "bbox_points": [ + 274.18, + 494.99, + 278.59, + 503.0 + ] + }, + { + "text": "n8", + "bbox_points": [ + 298.78, + 494.88, + 307.9, + 503.0 + ] + }, + { + "text": "Manning", + "bbox_points": [ + 339.77, + 494.99, + 372.23, + 503.0 + ] + }, + { + "text": "roughness", + "bbox_points": [ + 374.58, + 494.99, + 410.79, + 503.0 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 413.19, + 494.71, + 450.62, + 503.0 + ] + }, + { + "text": "of", + "bbox_points": [ + 452.98, + 494.99, + 460.06, + 503.0 + ] + }, + { + "text": "/", + "bbox_points": [ + 481.78, + 494.99, + 485.36, + 503.0 + ] + }, + { + "text": "0.012", + "bbox_points": [ + 503.44, + 494.99, + 523.1, + 503.0 + ] + } + ] + }, + { + "text": "pipe 8", + "bbox_points": [ + 347.76, + 505.47, + 370.04, + 513.49 + ], + "words": [ + { + "text": "pipe", + "bbox_points": [ + 347.76, + 505.47, + 363.24, + 513.49 + ] + }, + { + "text": "8", + "bbox_points": [ + 365.62, + 505.47, + 370.04, + 513.49 + ] + } + ] + }, + { + "text": "Q1 Discharge before the branch pipe m3/s 5.5 Q2 Discharge after the branch pipe m3/ 4.8", + "bbox_points": [ + 43.44, + 517.95, + 514.26, + 527.5 + ], + "words": [ + { + "text": "Q1", + "bbox_points": [ + 43.44, + 519.38, + 54.26, + 527.49 + ] + }, + { + "text": "Discharge", + "bbox_points": [ + 84.93, + 519.48, + 121.23, + 527.49 + ] + }, + { + "text": "before", + "bbox_points": [ + 123.54, + 519.48, + 146.03, + 527.49 + ] + }, + { + "text": "the", + "bbox_points": [ + 148.37, + 519.48, + 159.69, + 527.49 + ] + }, + { + "text": "branch", + "bbox_points": [ + 162.09, + 519.48, + 187.11, + 527.49 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 189.48, + 519.48, + 204.96, + 527.49 + ] + }, + { + "text": "m3/s", + "bbox_points": [ + 245.15, + 517.95, + 262.36, + 527.5 + ] + }, + { + "text": "5.5", + "bbox_points": [ + 274.17, + 519.48, + 285.0, + 527.5 + ] + }, + { + "text": "Q2", + "bbox_points": [ + 298.77, + 519.38, + 309.59, + 527.5 + ] + }, + { + "text": "Discharge", + "bbox_points": [ + 339.76, + 519.48, + 376.06, + 527.5 + ] + }, + { + "text": "after", + "bbox_points": [ + 378.37, + 519.48, + 394.63, + 527.5 + ] + }, + { + "text": "the", + "bbox_points": [ + 396.96, + 519.48, + 408.28, + 527.5 + ] + }, + { + "text": "branch", + "bbox_points": [ + 410.68, + 519.48, + 435.7, + 527.5 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 438.07, + 519.48, + 453.55, + 527.5 + ] + }, + { + "text": "m3/", + "bbox_points": [ + 481.78, + 517.95, + 495.67, + 527.5 + ] + }, + { + "text": "4.8", + "bbox_points": [ + 503.43, + 519.48, + 514.26, + 527.5 + ] + } + ] + }, + { + "text": "s", + "bbox_points": [ + 489.83, + 529.97, + 493.15, + 537.98 + ], + "words": [ + { + "text": "s", + "bbox_points": [ + 489.83, + 529.97, + 493.15, + 537.98 + ] + } + ] + }, + { + "text": "Qr Pump rated discharge m3/s 1.86 Hr Pump rated water head m 65.69", + "bbox_points": [ + 43.43, + 542.44, + 523.1, + 551.99 + ], + "words": [ + { + "text": "Qr", + "bbox_points": [ + 43.43, + 543.87, + 53.0, + 551.99 + ] + }, + { + "text": "Pump", + "bbox_points": [ + 84.93, + 543.97, + 106.08, + 551.99 + ] + }, + { + "text": "rated", + "bbox_points": [ + 108.46, + 543.97, + 126.58, + 551.99 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 128.92, + 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], + "words": [ + { + "text": "Nr", + "bbox_points": [ + 43.43, + 557.87, + 52.99, + 565.99 + ] + }, + { + "text": "Pump", + "bbox_points": [ + 84.93, + 557.97, + 106.08, + 565.99 + ] + }, + { + "text": "rated", + "bbox_points": [ + 108.45, + 557.97, + 126.58, + 565.99 + ] + }, + { + "text": "speed", + "bbox_points": [ + 128.92, + 557.97, + 149.4, + 565.99 + ] + }, + { + "text": "r/min", + "bbox_points": [ + 245.14, + 557.97, + 265.95, + 565.99 + ] + }, + { + "text": "750", + "bbox_points": [ + 274.17, + 557.97, + 287.41, + 565.99 + ] + }, + { + "text": "LZ1·WZ1", + "bbox_points": [ + 298.77, + 557.87, + 334.33, + 565.99 + ] + }, + { + "text": "Long·wide", + "bbox_points": [ + 339.76, + 557.97, + 377.55, + 565.99 + ] + }, + { + "text": "of", + "bbox_points": [ + 379.95, + 557.97, + 387.03, + 565.99 + ] + }, + { + "text": "the", + "bbox_points": [ + 389.42, + 557.97, + 400.74, + 565.99 + ] + }, + { + "text": "high-level", + "bbox_points": [ + 403.14, + 557.97, + 437.59, + 565.99 + ] + }, + { + "text": "water", + "bbox_points": [ + 439.99, + 557.97, + 459.88, + 565.99 + ] + }, + { + "text": "m·m", + "bbox_points": [ + 481.78, + 557.97, + 497.78, + 565.99 + ] + }, + { + "text": "20", + "bbox_points": [ + 503.43, + 557.97, + 512.26, + 565.99 + ] + }, + { + "text": "10", + "bbox_points": [ + 521.57, + 557.97, + 530.41, + 565.99 + ] + } + ] + }, + { + "text": "pool", + "bbox_points": [ + 347.75, + 568.46, + 363.81, + 576.48 + ], + "words": [ + { + "text": "pool", + "bbox_points": [ + 347.75, + 568.46, + 363.81, + 576.48 + ] + } + ] + }, + { + "text": "Z1smax Allowable highest water level for the high- m 93.5 Z1s Design water level for the high-level m 87.53", + "bbox_points": [ + 43.43, + 582.36, + 523.1, + 590.48 + ], + "words": [ + { + "text": "Z1smax", + "bbox_points": [ + 43.43, + 582.47, + 72.24, + 590.48 + ] + }, + { + "text": "Allowable", + "bbox_points": [ + 84.93, + 582.47, + 121.03, + 590.48 + ] + }, + { + "text": "highest", + "bbox_points": [ + 123.37, + 582.47, + 148.9, + 590.48 + ] + }, + { + "text": "water", + "bbox_points": [ + 151.31, + 582.47, + 171.14, + 590.48 + ] + }, + { + "text": "level", + "bbox_points": [ + 173.54, + 582.47, + 190.19, + 590.48 + ] + }, + { + "text": "for", + "bbox_points": [ + 192.59, + 582.47, + 202.82, + 590.48 + ] + }, + { + "text": "the", + "bbox_points": [ + 205.17, + 582.47, + 216.49, + 590.48 + ] + }, + { + "text": "high-", + "bbox_points": [ + 218.89, + 582.47, + 236.79, + 590.48 + ] + }, + { + "text": "m", + "bbox_points": [ + 245.14, + 582.47, + 252.14, + 590.48 + ] + }, + { + "text": "93.5", + "bbox_points": [ + 274.17, + 582.47, + 289.42, + 590.48 + ] + }, + { + "text": "Z1s", + "bbox_points": [ + 298.77, + 582.36, + 312.02, + 590.48 + ] + }, + { + "text": "Design", + "bbox_points": [ + 339.76, + 582.47, + 364.74, + 590.48 + ] + }, + { + "text": "water", + "bbox_points": [ + 367.09, + 582.47, + 386.97, + 590.48 + ] + }, + { + "text": "level", + "bbox_points": [ + 389.37, + 582.47, + 405.96, + 590.48 + ] + }, + { + "text": "for", + "bbox_points": [ + 408.36, + 582.47, + 418.59, + 590.48 + ] + }, + { + "text": "the", + "bbox_points": [ + 420.95, + 582.47, + 432.27, + 590.48 + ] + }, + { + "text": "high-level", + "bbox_points": [ + 434.67, + 582.47, + 469.17, + 590.48 + ] + }, + { + "text": "m", + "bbox_points": [ + 481.78, + 582.47, + 488.78, + 590.48 + ] + }, + { + "text": "87.53", + "bbox_points": [ + 503.43, + 582.47, + 523.1, + 590.48 + ] + } + ] + }, + { + "text": "level water pool water pool", + "bbox_points": [ + 92.92, + 592.95, + 386.09, + 600.97 + ], + "words": [ + { + "text": "level", + "bbox_points": [ + 92.92, + 592.95, + 109.57, + 600.97 + ] + }, + { + "text": "water", + "bbox_points": [ + 111.97, + 592.95, + 131.8, + 600.97 + ] + }, + { + "text": "pool", + "bbox_points": [ + 134.19, + 592.95, + 150.25, + 600.97 + ] + }, + { + "text": "water", + "bbox_points": [ + 347.75, + 592.95, + 367.64, + 600.97 + ] + }, + { + "text": "pool", + "bbox_points": [ + 370.03, + 592.95, + 386.09, + 600.97 + ] + } + ] + }, + { + "text": "Z1smin Allowable lowest allowable water level for m 86.8 LZ2·WZ2 Long·wide of the regulating pool m·m 19.8 19.8", + "bbox_points": [ + 43.43, + 606.85, + 543.23, + 614.97 + ], + "words": [ + { + "text": "Z1smin", + "bbox_points": [ + 43.43, + 606.85, + 70.74, + 614.97 + ] + }, + { + "text": "Allowable", + "bbox_points": [ + 84.93, + 606.96, + 121.04, + 614.97 + ] + }, + { + "text": "lowest", + "bbox_points": [ + 123.37, + 606.96, + 146.01, + 614.97 + ] + }, + { + "text": "allowable", + "bbox_points": [ + 148.37, + 606.96, + 182.66, + 614.97 + ] + }, + { + "text": "water", + "bbox_points": [ + 184.82, + 606.96, + 204.7, + 614.97 + ] + }, + { + "text": "level", + "bbox_points": [ + 207.1, + 606.96, + 223.75, + 614.97 + ] + }, + { + "text": "for", + "bbox_points": [ + 226.09, + 606.96, + 236.32, + 614.97 + ] + }, + { + "text": "m", + "bbox_points": [ + 245.14, + 606.96, + 252.14, + 614.97 + ] + }, + { + "text": "86.8", + 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"text": "54.52%", + "bbox_points": [ + 279.38, + 573.17, + 306.05, + 581.18 + ] + }, + { + "text": "58.24%", + "bbox_points": [ + 373.61, + 573.17, + 400.27, + 581.18 + ] + }, + { + "text": "57.08%", + "bbox_points": [ + 467.89, + 573.17, + 494.55, + 581.18 + ] + } + ] + }, + { + "text": "yrv_12 18.81% 16.24% 33.48% 20.04%", + "bbox_points": [ + 130.0, + 583.55, + 494.55, + 592.4 + ], + "words": [ + { + "text": "yrv_12", + "bbox_points": [ + 130.0, + 583.55, + 148.52, + 592.4 + ] + }, + { + "text": "18.81%", + "bbox_points": [ + 185.1, + 583.66, + 211.77, + 591.67 + ] + }, + { + "text": "16.24%", + "bbox_points": [ + 279.38, + 583.66, + 306.05, + 591.67 + ] + }, + { + "text": "33.48%", + "bbox_points": [ + 373.61, + 583.66, + 400.27, + 591.67 + ] + }, + { + "text": "20.04%", + "bbox_points": [ + 467.89, + 583.66, + 494.55, + 591.67 + ] + } + ] + }, + { + "text": "yrv_31 29.77% 31.94% 38.14% 40.80%", + "bbox_points": [ + 132.38, + 594.1, + 494.55, + 602.89 + ], + "words": [ + { + "text": "yrv_31", + "bbox_points": [ + 132.38, + 594.1, + 150.96, + 602.89 + ] + }, + { + "text": "29.77%", + "bbox_points": [ + 185.1, + 594.2, + 211.77, + 602.22 + ] + }, + { + "text": "31.94%", + "bbox_points": [ + 279.38, + 594.2, + 306.05, + 602.22 + ] + }, + { + "text": "38.14%", + "bbox_points": [ + 373.61, + 594.2, + 400.27, + 602.22 + ] + }, + { + "text": "40.80%", + "bbox_points": [ + 467.89, + 594.2, + 494.55, + 602.22 + ] + } + ] + }, + { + "text": "yrv_32 12.57% 10.89% 23.61% 9.58%", + "bbox_points": [ + 130.0, + 604.59, + 490.13, + 613.38 + ], + "words": [ + { + "text": "yrv_32", + "bbox_points": [ + 130.0, + 604.59, + 148.52, + 613.38 + ] + }, + { + "text": "12.57%", + "bbox_points": [ + 185.1, + 604.69, + 211.77, + 612.71 + ] + }, + { + "text": "10.89%", + "bbox_points": [ + 279.38, + 604.69, + 306.05, + 612.71 + ] + }, + { + "text": "23.61%", + "bbox_points": [ + 373.61, + 604.69, + 400.27, + 612.71 + ] + }, + { + "text": "9.58%", + "bbox_points": [ + 467.89, + 604.69, + 490.13, + 612.71 + ] + } + ] + }, + { + "text": "Response functions HPmax (m) 86.98 88.24 86.44 87.07", + "bbox_points": [ + 43.43, + 618.59, + 487.55, + 627.38 + ], + "words": [ + { + "text": "Response", + "bbox_points": [ + 43.43, + 618.69, + 77.42, + 626.71 + ] + }, + { + "text": "functions", + "bbox_points": [ + 79.77, + 618.69, + 113.05, + 626.71 + ] + }, + { + "text": "HPmax", + "bbox_points": [ + 130.0, + 618.59, + 153.56, + 627.38 + ] + }, + { + "text": "(m)", + "bbox_points": [ + 155.96, + 618.69, + 168.45, + 626.71 + ] + }, + { + "text": "86.98", + "bbox_points": [ + 185.1, + 618.69, + 204.77, + 626.71 + ] + }, + { + "text": "88.24", + "bbox_points": [ + 279.38, + 618.69, + 299.05, + 626.71 + ] + }, + { + "text": "86.44", + "bbox_points": [ + 373.61, + 618.69, + 393.27, + 626.71 + ] + }, + { + "text": "87.07", + "bbox_points": [ + 467.89, + 618.69, + 487.55, + 626.71 + ] + } + ] + }, + { + "text": "HPmin (m) 1.20 1.20 1.27 1.29", + "bbox_points": [ + 130.0, + 629.08, + 483.13, + 637.87 + ], + "words": [ + { + "text": "HPmin", + "bbox_points": [ + 130.0, + 629.08, + 152.63, + 637.87 + ] + }, + { + "text": "(m)", + "bbox_points": [ + 155.0, + 629.18, + 167.49, + 637.2 + ] + }, + { + "text": "1.20", + "bbox_points": [ + 185.1, + 629.18, + 200.35, + 637.2 + ] + }, + { + "text": "1.20", + "bbox_points": [ + 279.38, + 629.18, + 294.63, + 637.2 + ] + }, + { + "text": "1.27", + "bbox_points": [ + 373.61, + 629.18, + 388.85, + 637.2 + ] + }, + { + "text": "1.29", + "bbox_points": [ + 467.88, + 629.18, + 483.13, + 637.2 + ] + } + ] + }, + { + "text": "Z1max (m) 90.06 91.24 88.08 90.11", + "bbox_points": [ + 130.0, + 639.57, + 487.55, + 648.41 + ], + "words": [ + { + "text": "Z1max", + "bbox_points": [ + 130.0, + 639.57, + 150.3, + 648.41 + ] + }, + { + "text": "(m)", + "bbox_points": [ + 152.67, + 639.67, + 165.16, + 647.68 + ] + }, + { + "text": "90.06", + "bbox_points": [ + 185.1, + 639.67, + 204.77, + 647.68 + ] + }, + { + "text": "91.24", + "bbox_points": [ + 279.38, + 639.67, + 299.05, + 647.68 + ] + }, + { + "text": "88.08", + "bbox_points": [ + 373.61, + 639.67, + 393.27, + 647.68 + ] + }, + { + "text": "90.11", + "bbox_points": [ + 467.89, + 639.67, + 487.55, + 647.68 + ] + } + ] + }, + { + "text": "Z1min (m) 86.81 86.80 86.87 86.89", + "bbox_points": [ + 130.0, + 650.06, + 487.55, + 658.9 + ], + "words": [ + { + "text": "Z1min", + "bbox_points": [ + 130.0, + 650.06, + 149.36, + 658.9 + ] + }, + { + "text": "(m)", + "bbox_points": [ + 151.77, + 650.16, + 164.25, + 658.17 + ] + }, + { + "text": "86.81", + "bbox_points": [ + 185.1, + 650.16, + 204.77, + 658.17 + ] + }, + { + "text": "86.80", + "bbox_points": [ + 279.38, + 650.16, + 299.05, + 658.17 + ] + }, + { + "text": "86.87", + "bbox_points": [ + 373.61, + 650.16, + 393.27, + 658.17 + ] + }, + { + "text": "86.89", + "bbox_points": [ + 467.89, + 650.16, + 487.55, + 658.17 + ] + } + ] + }, + { + "text": "Z2max (m) 60.99 60.91 60.91 60.91", + "bbox_points": [ + 130.0, + 660.6, + 487.55, + 669.39 + ], + "words": [ + { + "text": "Z2max", + "bbox_points": [ + 130.0, + 660.6, + 150.3, + 669.39 + ] + }, + { + "text": "(m)", + "bbox_points": [ + 152.67, + 660.7, + 165.16, + 668.72 + ] + }, + { + "text": "60.99", + "bbox_points": [ + 185.1, + 660.7, + 204.77, + 668.72 + ] + }, + { + "text": "60.91", + "bbox_points": [ + 279.38, + 660.7, + 299.05, + 668.72 + ] + }, + { + "text": "60.91", + "bbox_points": [ + 373.61, + 660.7, + 393.27, + 668.72 + ] + }, + { + "text": "60.91", + "bbox_points": [ + 467.89, + 660.7, + 487.55, + 668.72 + ] + } + ] + }, + { + "text": "Z2min (m) 59.67 59.27 59.46 59.24", + "bbox_points": [ + 130.0, + 671.09, + 487.55, + 679.88 + ], + "words": [ + { + "text": "Z2min", + "bbox_points": [ + 130.0, + 671.09, + 149.36, + 679.88 + ] + }, + { + "text": "(m)", + "bbox_points": [ + 151.77, + 671.19, + 164.25, + 679.21 + ] + }, + { + "text": "59.67", + "bbox_points": [ + 185.1, + 671.19, + 204.77, + 679.21 + ] + }, + { + "text": "59.27", + "bbox_points": [ + 279.38, + 671.19, + 299.05, + 679.21 + ] + }, + { + "text": "59.46", + "bbox_points": [ + 373.61, + 671.19, + 393.27, + 679.21 + ] + }, + { + "text": "59.24", + "bbox_points": [ + 467.89, + 671.19, + 487.55, + 679.21 + ] + } + ] + }, + { + "text": "Ttotal (s) 1,675 1,563 1,522 1,435", + "bbox_points": [ + 130.0, + 681.58, + 487.55, + 690.37 + ], + "words": [ + { + "text": "Ttotal", + "bbox_points": [ + 130.0, + 681.58, + 146.92, + 690.37 + ] + }, + { + "text": "(s)", + "bbox_points": [ + 149.33, + 681.68, + 158.15, + 689.69 + ] + }, + { + "text": "1,675", + "bbox_points": [ + 185.1, + 681.68, + 204.77, + 689.69 + ] + }, + { + "text": "1,563", + "bbox_points": [ + 279.38, + 681.68, + 299.05, + 689.69 + ] + }, + { + "text": "1,522", + "bbox_points": [ + 373.61, + 681.68, + 393.27, + 689.69 + ] + }, + { + "text": "1,435", + "bbox_points": [ + 467.89, + 681.68, + 487.55, + 689.69 + ] + } + ] + }, + { + "text": "Objective functions Rtotal 1.37 1.64 1.11 1.45", + "bbox_points": [ + 43.43, + 695.58, + 483.13, + 704.37 + ], + "words": [ + { + "text": "Objective", + "bbox_points": [ + 43.43, + 695.68, + 77.59, + 703.7 + ] + }, + { + "text": "functions", + "bbox_points": [ + 79.99, + 695.68, + 113.36, + 703.7 + ] + }, + { + "text": "Rtotal", + "bbox_points": [ + 130.0, + 695.58, + 147.88, + 704.37 + ] + }, + { + "text": "1.37", + "bbox_points": [ + 185.1, + 695.68, + 200.35, + 703.7 + ] + }, + { + "text": "1.64", + "bbox_points": [ + 279.38, + 695.68, + 294.63, + 703.7 + ] + }, + { + "text": "1.11", + "bbox_points": [ + 373.61, + 695.68, + 388.85, + 703.7 + ] + }, + { + "text": "1.45", + "bbox_points": [ + 467.89, + 695.68, + 483.13, + 703.7 + ] + } + ] + }, + { + "text": "Ttotal (s) 1,675 1,563 1,522 1,435", + "bbox_points": [ + 130.0, + 706.07, + 487.55, + 714.91 + ], + "words": [ + { + "text": "Ttotal", + "bbox_points": [ + 130.0, + 706.07, + 146.92, + 714.91 + ] + }, + { + "text": "(s)", + "bbox_points": [ + 149.33, + 706.17, + 158.15, + 714.19 + ] + }, + { + "text": "1,675", + "bbox_points": [ + 185.1, + 706.17, + 204.77, + 714.19 + ] + }, + { + "text": "1,563", + "bbox_points": [ + 279.38, + 706.17, + 299.05, + 714.19 + ] + }, + { + "text": "1,522", + "bbox_points": [ + 373.61, + 706.17, + 393.27, + 714.19 + ] + }, + { + "text": "1,435", + "bbox_points": [ + 467.89, + 706.17, + 487.55, + 714.19 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Liu et al. - 2024 - A parallel multi-objective optimization based on adaptive surrogate model for combined operation of/table_06.txt b/Figures/Liu et al. - 2024 - A parallel multi-objective optimization based on adaptive surrogate model for combined operation of/table_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd8bf9175be6615ee73895e538bcbbf58ed93f6a --- /dev/null +++ b/Figures/Liu et al. - 2024 - A parallel multi-objective optimization based on adaptive surrogate model for combined operation of/table_06.txt @@ -0,0 +1 @@ +The schemes corresponding to the minimum value of each objective function in the Pareto fronts obtained by PMO-ASMO and diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_01.jpg b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..04b7590de8a60845609954fec9cbdfb470c5c844 --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:70ff0e4adf93931b0532a9a549b9814cdba27e2922bf518091a7eb6095223726 +size 158364 diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_01.txt b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d0e1f480b88a9a9018f6ef673f88723a119b7c0 --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_01.txt @@ -0,0 +1 @@ +Framework for dynamic water scarcity assessment integrating BW and GW. diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_02.jpg b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a97511e1908a486704b9d07c059e6134e2ea4a3e --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6b3ed1afbea4b0d714ac32bf3a604f67981ef6de2661d895b2d2827bd9d58f53 +size 80364 diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_02.txt b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..a27b636085ec2f6b59b17091030340d82cb9294b --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_02.txt @@ -0,0 +1 @@ +Geographic location and reservoir distribution in the TRB. diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_03.jpg b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e09c03244d79b845a380cd91f072a53db2f1d55b --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1fb8025a90a0d88cbbf8c524ee658fdd9b339226526c984e82f631cd0150e1f5 +size 108613 diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_03.txt b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..7e71677c336f83596bcede4711709a1e1c1897bf --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_03.txt @@ -0,0 +1 @@ +Simulation and observation of monthly streamflow at Solun and Charlson. diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_04.jpg b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..756292f8d61897cd0554d46a7d2129c2585133a3 --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b53fb072b3c47ef0dc4d7f73f0136c92c5edca5fc974722803b444a8565ef3df +size 68037 diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_04.txt b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..d9edd548bd1ce67681eedfaaa0fb2f5a7bcd7836 --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_04.txt @@ -0,0 +1 @@ +The annual variation of BW and GW in the TRB from 1979 to 2018. diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_05.jpg b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..473fca31bf86dcd2d8db5d2ae67d6563c3ad3131 --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2c1fea6d141286ea85c4d656d2902eeb78a5c146e27951fa575248edf21238bd +size 123892 diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_05.txt b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..f58f2486082a385c1b00d1e2f327b5416048e9bd --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_05.txt @@ -0,0 +1 @@ +Area ratio variation of different levels of BWS/GWS in TRB from 1979 to 2018. (a) BWS (Falkenmark indicator). (b) GWS. Note: Results are plotted from left to right for annual, wet, normal and dry years, respectively, in both Figure 5(a) and 5(b). diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_06.jpg b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c6b889c712974e8dd0c3ce5c917c0059999939e0 --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1724c41df729503d24c723ae3d68b016a847a98c626c600fa586aa6311d14cb +size 158238 diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_06.txt b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..110e5f1f60bf37d69d9c088c0460497f59e6e7b0 --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_06.txt @@ -0,0 +1 @@ +Evolutionary pattern of severe BWS in TRB in different typical reference years from 1980 to 2018. (a) Wet year. (b) Normal year. (c) Dry year. diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_07.jpg b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..84da1b0427a403622f90e3ff3f31584d39dbab2c --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:196e9f70a797727417ab6d2571716a786604e416a82cd4a2e48ab929880fbc6a +size 125996 diff --git a/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_07.txt b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe4f6c14ce67f73f909754a1c4c0530d5a431b64 --- /dev/null +++ b/Figures/Liu et al. - 2024 - A synergistic framework for dynamic water scarcity assessment integrated blue and green water/figure_07.txt @@ -0,0 +1 @@ +Evolutionary pattern of severe GWS in TRB in different typical reference years from 1980 to 2018. (a) Wet year. (b) Normal year. 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in migration of the severe BWS/GWS gravity centre diff --git a/Figures/Liu et al. - 2024 - Adsorption performance of MIL-121CA on lead and cadmium in acid mine drainage/figure_01.jpg b/Figures/Liu et al. - 2024 - Adsorption performance of MIL-121CA on lead and cadmium in acid mine drainage/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3ecd5ed59f864febbde75a7ce07ddef198064b45 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Adsorption performance of MIL-121CA on lead and cadmium in acid mine drainage/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:00435987df56de8abdcc9c9254d19beae97210f8bb7496828ca9a79b93b3a3e2 +size 172208 diff --git a/Figures/Liu et al. - 2024 - Adsorption performance of MIL-121CA on lead and cadmium in acid mine drainage/figure_01.txt b/Figures/Liu et al. - 2024 - Adsorption performance of MIL-121CA on lead and cadmium in acid mine drainage/figure_01.txt new file mode 100644 index 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sha256:f8899e23f003e70a51e4d920d726d0052d2c007ff7701b73f66c2e790ac565ea +size 43689 diff --git a/Figures/Liu et al. - 2024 - Analysis and numerical simulation of different flowmeters based on an open channel in an irrigation/figure_03.txt b/Figures/Liu et al. - 2024 - Analysis and numerical simulation of different flowmeters based on an open channel in an irrigation/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..509ecb1a514cb66156a4ab790b7da59cc3c25bfd --- /dev/null +++ b/Figures/Liu et al. - 2024 - Analysis and numerical simulation of different flowmeters based on an open channel in an irrigation/figure_03.txt @@ -0,0 +1 @@ +High-precision multifunctional double variable slope glass sinks. diff --git a/Figures/Liu et al. - 2024 - Analysis and numerical simulation of different flowmeters based on an open channel in an irrigation/figure_04.jpg b/Figures/Liu et al. - 2024 - Analysis and numerical simulation of different flowmeters based on an open 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conditions diff --git a/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_01.jpg b/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b628cee17fbe86ef42f10fa5f19cd9e13c92f7b9 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aedd40676014d50173ae458666de33cb77114db2add34f477f7ca53fe5051b72 +size 183756 diff --git a/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_01.txt b/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..edf2482467e54bfc5b5e3061f8fec403abc53d95 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_01.txt @@ -0,0 +1 @@ +Geographic location of the XXW, three-layer nested downscaling regions (D01, D02, D03) in the WRF model, location of meteorological and hydrological stations within the watershed, and spatial distribution of land use and soil texture. diff --git a/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_02.jpg b/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..70b830cf860711764031a140a80ac7b8b3c3f3b7 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:73bcd05048b20ff9b499d0f7727750edbc2ea1cca34c2d3526a968aae3dc8c7b +size 48123 diff --git a/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_02.txt b/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..04a02cc742d2f7e803e7ba0e1f088857e2c7fd1d --- /dev/null +++ b/Figures/Liu et al. - 2024 - Analysis of flood streamflow sensitivity to precipitation using the WRF-Hydro model in a humid envir/figure_02.txt @@ -0,0 +1 @@ +The hydrographs of the flood of 030721 simulated with different channel gridding time step Δt in the WRF-Hydro model. 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River Basin guided by SWAT mo/table_04.txt b/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b86f27363b16491ee8b327bfc13b213cdbef04d --- /dev/null +++ b/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_04.txt @@ -0,0 +1 @@ +Mann–Kendall analysis results of natural runoff in the SSR basin diff --git a/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_05.jpg b/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7dc541ba4c655c0f403a998daf603fbec0e8d8de --- /dev/null +++ b/Figures/Liu et al. - 2024 - 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scenarios in the SSR basin", + "page": 12, + "table_bbox_points": [ + 40.43, + 372.42, + 548.44, + 490.27 + ], + "caption_bbox_points": [ + 43.43, + 364.2, + 415.77, + 372.42 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 7, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Scenario Cultivated land/% Woodland/% Grassland/% Total", + "bbox_points": [ + 43.43, + 386.99, + 545.49, + 392.99 + ], + "words": [ + { + "text": "Scenario", + "bbox_points": [ + 43.43, + 386.99, + 70.46, + 392.99 + ] + }, + { + "text": "Cultivated", + "bbox_points": [ + 179.43, + 386.99, + 211.34, + 392.99 + ] + }, + { + "text": "land/%", + "bbox_points": [ + 213.28, + 386.99, + 234.26, + 392.99 + ] + }, + { + "text": "Woodland/%", + "bbox_points": [ + 307.22, + 386.99, + 345.99, + 392.99 + ] + }, + { + "text": "Grassland/%", + "bbox_points": [ + 418.9, + 386.99, + 457.19, + 392.99 + ] + }, + { + "text": "Total", + "bbox_points": [ + 530.07, + 386.99, + 545.49, + 392.99 + ] + } + ] + }, + { + "text": "Baseline scenario 39.7 13.6 39.1 92.4", + "bbox_points": [ + 43.43, + 402.13, + 545.33, + 410.14 + ], + "words": [ + { + "text": "Baseline", + "bbox_points": [ + 43.43, + 402.13, + 73.89, + 410.14 + ] + }, + { + "text": "scenario", + "bbox_points": [ + 76.25, + 402.13, + 106.55, + 410.14 + ] + }, + { + "text": "39.7", + "bbox_points": [ + 179.43, + 402.13, + 194.68, + 410.14 + ] + }, + { + "text": "13.6", + "bbox_points": [ + 307.22, + 402.13, + 322.47, + 410.14 + ] + }, + { + "text": "39.1", + "bbox_points": [ + 418.9, + 402.13, + 434.15, + 410.14 + ] + }, + { + "text": "92.4", + "bbox_points": [ + 530.08, + 402.13, + 545.33, + 410.14 + ] + } + ] + }, + { + "text": "Scenario 1 40.4 16.8 36.2 93.4", + "bbox_points": [ + 43.43, + 416.13, + 545.33, + 424.14 + ], + "words": [ + { + "text": "Scenario", + "bbox_points": [ + 43.43, + 416.13, + 75.14, + 424.14 + ] + 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472.14, + 543.32, + 480.16 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_05.txt b/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..2cdcd389faadd4577ce6de6396f061d82d779996 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_05.txt @@ -0,0 +1 @@ +Proportion of the main types of land use of six different land-use scenarios in the SSR basin diff --git a/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_06.jpg b/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6d701e659fef9d7fecec58ba73615351ed524c6b --- /dev/null +++ b/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c6b9856264597cba4776f5efe4a7d5d309fa05cd834dc4d40354677e08e99a44 +size 31705 diff --git a/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_06.json b/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_06.json new file mode 100644 index 0000000000000000000000000000000000000000..d93f4b7f4903c397e8a12984b64183fb326bdd2c --- /dev/null +++ b/Figures/Liu et al. - 2024 - Effects of climate and land use change on runoff of the Second Songhua River Basin guided by SWAT mo/table_06.json @@ -0,0 +1,669 @@ +{ + "kind": "table", + "label": "table_06", + "number": 6, + "caption": "Annual average flow under different wetland changes scenarios in the SSR basin", + "page": 12, + "table_bbox_points": [ + 40.43, + 639.45, + 548.44, + 715.28 + ], + "caption_bbox_points": [ + 43.43, + 631.28, + 374.27, + 639.45 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 5, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Average flow (m3/s) Wetland area*1 Wetland area*0.8 Wetland area*0.5 Wetland area*0.3", + "bbox_points": [ + 43.43, + 652.74, + 545.5, + 660.01 + ], + "words": [ + { + "text": "Average", + "bbox_points": [ + 43.43, + 654.01, + 68.75, + 660.01 + ] + }, + { + "text": "flow", + "bbox_points": [ + 70.7, + 653.97, + 84.75, + 660.01 + ] + }, + { + "text": "(m3/s)", + "bbox_points": [ + 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"text": "July 392.5 1.784 309.5 1.577 245.8 651.8 5.6", + "bbox_points": [ + 64.0, + 213.9, + 499.18, + 221.92 + ], + "words": [ + { + "text": "July", + "bbox_points": [ + 64.0, + 213.9, + 77.65, + 221.92 + ] + }, + { + "text": "392.5", + "bbox_points": [ + 161.06, + 213.9, + 180.73, + 221.92 + ] + }, + { + "text": "1.784", + "bbox_points": [ + 222.29, + 213.9, + 241.95, + 221.92 + ] + }, + { + "text": "309.5", + "bbox_points": [ + 274.39, + 213.9, + 294.05, + 221.92 + ] + }, + { + "text": "1.577", + "bbox_points": [ + 335.62, + 213.9, + 355.28, + 221.92 + ] + }, + { + "text": "245.8", + "bbox_points": [ + 387.66, + 213.9, + 407.33, + 221.92 + ] + }, + { + "text": "651.8", + "bbox_points": [ + 438.01, + 213.9, + 457.67, + 221.92 + ] + }, + { + "text": "5.6", + "bbox_points": [ + 488.35, + 213.9, + 499.18, + 221.92 + ] + } + ] + }, + { + "text": "August 203 2.016 268 1.173 141.7 365.6 10.6", + "bbox_points": [ + 64.0, + 227.91, + 509.78, + 235.92 + ], + "words": [ + { + "text": "August", + "bbox_points": [ + 64.0, + 227.91, + 88.86, + 235.92 + ] + }, + { + "text": "203", + "bbox_points": [ + 161.06, + 227.91, + 174.31, + 235.92 + ] + }, + { + "text": "2.016", + "bbox_points": [ + 222.29, + 227.91, + 241.95, + 235.92 + ] + }, + { + "text": "268", + "bbox_points": [ + 274.39, + 227.91, + 287.64, + 235.92 + ] + }, + { + "text": "1.173", + "bbox_points": [ + 335.62, + 227.91, + 355.28, + 235.92 + ] + }, + { + "text": "141.7", + "bbox_points": [ + 387.66, + 227.91, + 407.33, + 235.92 + ] + }, + { + "text": "365.6", + "bbox_points": [ + 438.01, + 227.91, + 457.67, + 235.92 + ] + }, + { + "text": "10.6", + "bbox_points": [ + 494.53, + 227.91, + 509.78, + 235.92 + ] + } + ] + }, + { + "text": "September 155.8 1.629 171.8 1.214 103.2 317.5 21.9", + "bbox_points": [ + 64.0, + 241.85, + 503.6, + 249.87 + ], + "words": [ + { + "text": "September", + "bbox_points": [ + 64.0, + 241.85, + 102.37, + 249.87 + ] + }, + { + "text": "155.8", + "bbox_points": [ + 161.06, + 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"82.65", + "bbox_points": [ + 274.39, + 255.86, + 294.05, + 263.87 + ] + }, + { + "text": "0.9628", + "bbox_points": [ + 335.62, + 255.86, + 359.7, + 263.87 + ] + }, + { + "text": "82.56", + "bbox_points": [ + 387.66, + 255.86, + 407.33, + 263.87 + ] + }, + { + "text": "220", + "bbox_points": [ + 438.01, + 255.86, + 451.25, + 263.87 + ] + }, + { + "text": "10.6", + "bbox_points": [ + 494.53, + 255.86, + 509.77, + 263.87 + ] + } + ] + }, + { + "text": "November 86.05 1.105 77.55 1.145 53.75 116.7 13.8", + "bbox_points": [ + 64.0, + 269.86, + 503.6, + 277.88 + ], + "words": [ + { + "text": "November", + "bbox_points": [ + 64.0, + 269.86, + 101.72, + 277.88 + ] + }, + { + "text": "86.05", + "bbox_points": [ + 161.06, + 269.86, + 180.72, + 277.88 + ] + }, + { + "text": "1.105", + "bbox_points": [ + 222.29, + 269.86, + 241.95, + 277.88 + ] + }, + { + "text": "77.55", + "bbox_points": [ + 274.39, + 269.86, + 294.05, + 277.88 + ] + }, + { + "text": "1.145", + "bbox_points": [ + 335.62, + 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"text": "73.24", + "bbox_points": [ + 438.0, + 283.86, + 457.67, + 291.88 + ] + }, + { + "text": "18.8", + "bbox_points": [ + 494.53, + 283.86, + 509.77, + 291.88 + ] + } + ] + }, + { + "text": "1-day minimum 16.05 1.77 22.25 1.097 7.843 25.85 10.6", + "bbox_points": [ + 64.0, + 297.87, + 509.77, + 305.88 + ], + "words": [ + { + "text": "1-day", + "bbox_points": [ + 64.0, + 297.87, + 83.03, + 305.88 + ] + }, + { + "text": "minimum", + "bbox_points": [ + 85.43, + 297.87, + 120.41, + 305.88 + ] + }, + { + "text": "16.05", + "bbox_points": [ + 161.06, + 297.87, + 180.72, + 305.88 + ] + }, + { + "text": "1.77", + "bbox_points": [ + 222.29, + 297.87, + 237.54, + 305.88 + ] + }, + { + "text": "22.25", + "bbox_points": [ + 274.39, + 297.87, + 294.05, + 305.88 + ] + }, + { + "text": "1.097", + "bbox_points": [ + 335.62, + 297.87, + 355.28, + 305.88 + ] + }, + { + "text": "7.843", + "bbox_points": [ + 387.66, + 297.87, + 407.32, + 305.88 + ] + }, + { + "text": "25.85", + "bbox_points": [ + 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"text": "1-day maximum 3,290 0.6922 2,650 0.9443 2,159 4,055 26.9", + "bbox_points": [ + 64.0, + 367.88, + 509.77, + 375.9 + ], + "words": [ + { + "text": "1-day", + "bbox_points": [ + 64.0, + 367.88, + 83.02, + 375.9 + ] + }, + { + "text": "maximum", + "bbox_points": [ + 85.43, + 367.88, + 121.55, + 375.9 + ] + }, + { + "text": "3,290", + "bbox_points": [ + 161.06, + 367.88, + 180.72, + 375.9 + ] + }, + { + "text": "0.6922", + "bbox_points": [ + 222.29, + 367.88, + 246.36, + 375.9 + ] + }, + { + "text": "2,650", + "bbox_points": [ + 274.39, + 367.88, + 294.05, + 375.9 + ] + }, + { + "text": "0.9443", + "bbox_points": [ + 335.61, + 367.88, + 359.69, + 375.9 + ] + }, + { + "text": "2,159", + "bbox_points": [ + 387.66, + 367.88, + 407.32, + 375.9 + ] + }, + { + "text": "4,055", + "bbox_points": [ + 438.0, + 367.88, + 457.67, + 375.9 + ] + }, + { + "text": "26.9", + "bbox_points": [ + 494.52, + 367.88, + 509.77, + 375.9 + ] + } + ] + }, + { + "text": "3-day maximum 2,980 0.6527 2,445 1.074 1,969 3,741 26.9", + "bbox_points": [ + 64.0, + 381.88, + 509.77, + 389.9 + ], + "words": [ + { + "text": "3-day", + "bbox_points": [ + 64.0, + 381.88, + 83.02, + 389.9 + ] + }, + { + "text": "maximum", + "bbox_points": [ + 85.43, + 381.88, + 121.55, + 389.9 + ] + }, + { + "text": "2,980", + "bbox_points": [ + 161.06, + 381.88, + 180.72, + 389.9 + ] + }, + { + "text": "0.6527", + "bbox_points": [ + 222.28, + 381.88, + 246.36, + 389.9 + ] + }, + { + "text": "2,445", + "bbox_points": [ + 274.39, + 381.88, + 294.05, + 389.9 + ] + }, + { + "text": "1.074", + "bbox_points": [ + 335.61, + 381.88, + 355.28, + 389.9 + ] + }, + { + "text": "1,969", + "bbox_points": [ + 387.66, + 381.88, + 407.32, + 389.9 + ] + }, + { + "text": "3,741", + "bbox_points": [ + 438.0, + 381.88, + 457.66, + 389.9 + ] + }, + { + "text": "26.9", + "bbox_points": [ + 494.52, + 381.88, + 509.77, + 389.9 + ] + } + ] + }, + { + "text": "7-day maximum 2,454 0.6751 1,812 1.205 1,527 2,882 43.1", + "bbox_points": [ + 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b/Figures/Liu et al. - 2024 - Evaluation of satellite-derived precipitation datasets a case study in the Ten Tributaries region o/table_03.txt @@ -0,0 +1 @@ +Accuracy evaluation indices of daily precipitation data from GSMaP-Gauge and GPM-IMERG at each station in the Ten Tributaries diff --git a/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_01.jpg b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..85664fa28b3678ecb10446a73b3d4b34e4dc4957 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:60bc5fe6d2aca22f08342303ad28546040df712f8a19ddee28fa42e219fc9acf +size 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Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..882a3777bf4c9c4d051e604387951a26c66c36d8 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_03.txt @@ -0,0 +1 @@ +Crystalline structures of the synthesized Fe-NPs analyzed by XRD. diff --git a/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_04.jpg b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..038bce8ee177c3fdf50577e5ad914baa181abd39 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:39b24469ac7adf9f6baf378ee2aac22063d1593cc626851de3dcf2821c40a443 +size 159848 diff --git a/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_04.txt b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..0bff28683b627021b2046c158da55395578b0b7a --- /dev/null +++ b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_04.txt @@ -0,0 +1 @@ +XPS spectra of the synthesized Fe-NPs sample: (a) full-range survey, (b) O 1s, (c) C 1s, (d) S 2p, and (e) Fe 2p. diff --git a/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_05.jpg b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9c3585700a3642a9eb6d75ee3db31da7309af16b --- /dev/null +++ b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0de11b0650c31310eaeb4fa7dac92b562016cbe1b39a0e3c475a42d780c18178 +size 147931 diff --git a/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_05.txt b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..a509e5ff32620e98cdb913aa755a3d596601f8b7 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_05.txt @@ -0,0 +1 @@ +Morphological images of the synthesized Fe-NPs by SEM (a–e), magnification from 10,000 to 50,000 times and TEM (g, h): (a) 10,000, (b) 30,000, (c, d) 50,000, (f) Fe mapping based on (e) image (g, h) TEM images (i) EDS spectrum. diff --git a/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_06.jpg b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fd9d3c58c7396392598460a7d448346ab99f2908 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f817e2672965ef951c9ffe591abae50858927c20f83f44e154904523c0de77c2 +size 158792 diff --git a/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_06.txt b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2afb5f3df3337a3af27562e4dbe7f080c1eaac9 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_06.txt @@ -0,0 +1 @@ +Degradation efficiency as a function of different operating conditions. (a) different dyes at 0.5 g L1 of Fe-NPs loading, 1 mL of 0.5% H2O2, and dyes concentration of 100 mg L1, (b) effect of reaction time at 0.5 g L1 of Fe-NPs loading, 1 mL of 0.5% H2O2, and 100 mg L1 of CR for blank (only H2O2), sole adsorption (Fe-NPs) and Fenton-like system (Fe-NPs/H2O2), (c) effect of Fe-NPs loading at 30 min, 1 mL of 0.5% H2O2, and 100 and 300 mg L1 of CR, (d) effect of solution pH at 30 min, 0.5 g L1 of Fe-NPs loading, 1 mL of 0.5% H2O2, and 100 mg L1 of CR. diff --git a/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_07.jpg b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..53b3f302c7c33fb1e2153dd48506099b5a24523e --- /dev/null +++ b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cc0b390f22bf09de1b8c036cb7b67c261685a987472c0c567d867788e78ddadd +size 162064 diff --git a/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_07.txt b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..6646075f4cf72bd7f6cbe42c783113376d6cf9e8 --- /dev/null +++ b/Figures/Liu et al. - 2024 - Green synthesis of Fe-nanoparticles using pruned tea leaf extract characterization and use for degr/figure_07.txt @@ -0,0 +1 @@ +Degradation efficiencyasafunctionofdifferentoperatingconditions.(a)Effectof theconcentration ofCRat298 K, 30 min,0.5 gL1 of Fe-NPs loading, and 1 mL of 0.5% H2O2, (b) effect of the concentration of H2O2 at 298 K, 30 min, 1 mL of H2O2, and 0.5 g L1 of Fe-NPs loading, (c) effect of reaction temperature at 30 min, 0.5 g L1 of Fe-NPs loading, 1 mL of 0.5% H2O2 and 100 mg L1 of CR, (d) reusability of Fe-NPs sample for five consecutive runs. diff --git a/Figures/Liu et al. - 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"with", + "bbox_points": [ + 375.99, + 181.36, + 391.96, + 189.38 + ] + }, + { + "text": "an", + "bbox_points": [ + 394.36, + 181.36, + 403.26, + 189.38 + ] + }, + { + "text": "operating", + "bbox_points": [ + 405.64, + 181.36, + 439.41, + 189.38 + ] + }, + { + "text": "water", + "bbox_points": [ + 441.75, + 181.36, + 461.64, + 189.38 + ] + }, + { + "text": "level", + "bbox_points": [ + 464.03, + 181.36, + 480.62, + 189.38 + ] + }, + { + "text": "of", + "bbox_points": [ + 483.02, + 181.36, + 490.1, + 189.38 + ] + }, + { + "text": "26", + "bbox_points": [ + 492.49, + 181.36, + 501.32, + 189.38 + ] + }, + { + "text": "m", + "bbox_points": [ + 503.32, + 181.36, + 510.32, + 189.38 + ] + } + ] + }, + { + "text": "Scheme 3 Based on Scheme 2, the water level of the Majiawan Based on Proposal 2, the operating water level is lowered to", + "bbox_points": [ + 43.43, + 195.37, + 527.82, + 203.38 + ], + "words": [ + { + "text": "Scheme", + "bbox_points": [ + 43.43, + 195.37, + 71.92, + 203.38 + ] 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lowered 25.7 m", + "bbox_points": [ + 95.64, + 205.85, + 344.55, + 213.87 + ], + "words": [ + { + "text": "Wetland", + "bbox_points": [ + 95.64, + 205.85, + 126.08, + 213.87 + ] + }, + { + "text": "is", + "bbox_points": [ + 128.47, + 205.85, + 134.12, + 213.87 + ] + }, + { + "text": "lowered", + "bbox_points": [ + 136.52, + 205.85, + 164.94, + 213.87 + ] + }, + { + "text": "25.7", + "bbox_points": [ + 320.37, + 205.85, + 335.62, + 213.87 + ] + }, + { + "text": "m", + "bbox_points": [ + 337.55, + 205.85, + 344.55, + 213.87 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Figures/Liu et al. - 2024 - Research on the connectivity of urban river network\342\200\223wetland and water quality simulation/table_03.txt" "b/Figures/Liu et al. - 2024 - Research on the connectivity of urban river network\342\200\223wetland and water quality simulation/table_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..dd52801632c8cb830849beda22486c7ed741d847 --- 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"bbox_points": [ + 71.83, + 692.17, + 106.18, + 700.18 + ] + }, + { + "text": "7", + "bbox_points": [ + 119.11, + 692.17, + 123.53, + 700.18 + ] + }, + { + "text": "days", + "bbox_points": [ + 125.92, + 692.17, + 141.6, + 700.18 + ] + }, + { + "text": "High", + "bbox_points": [ + 170.93, + 692.17, + 189.0, + 700.18 + ] + }, + { + "text": "environmental", + "bbox_points": [ + 191.34, + 692.17, + 243.66, + 700.18 + ] + }, + { + "text": "costs", + "bbox_points": [ + 245.99, + 692.17, + 263.63, + 700.18 + ] + }, + { + "text": "exist", + "bbox_points": [ + 266.0, + 692.17, + 282.07, + 700.18 + ] + }, + { + "text": "Outage", + "bbox_points": [ + 300.93, + 692.17, + 326.98, + 700.18 + ] + }, + { + "text": "operation", + "bbox_points": [ + 329.33, + 692.17, + 363.68, + 700.18 + ] + }, + { + "text": "—", + "bbox_points": [ + 376.55, + 691.89, + 382.05, + 699.89 + ] + }, + { + "text": "—", + "bbox_points": [ + 428.37, + 691.89, + 433.87, + 699.89 + ] + }, + { + "text": "—", + "bbox_points": [ + 492.21, + 691.89, + 497.7, + 699.89 + ] + } + ] + }, + { + "text": "Total costs 431,500 Total costs 255,000", + "bbox_points": [ + 43.43, + 706.17, + 456.87, + 714.18 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 706.17, + 61.89, + 714.18 + ] + }, + { + "text": "costs", + "bbox_points": [ + 64.29, + 706.17, + 81.93, + 714.18 + ] + }, + { + "text": "431,500", + "bbox_points": [ + 170.93, + 706.17, + 199.43, + 714.18 + ] + }, + { + "text": "Total", + "bbox_points": [ + 300.93, + 706.17, + 319.39, + 714.18 + ] + }, + { + "text": "costs", + "bbox_points": [ + 321.79, + 706.17, + 339.37, + 714.18 + ] + }, + { + "text": "255,000", + "bbox_points": [ + 428.37, + 706.17, + 456.87, + 714.18 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Liu et al. - 2024 - Research on the purification effect of major pollu/table_06.txt b/Figures/Liu et al. - 2024 - Research on the purification effect of major pollu/table_06.txt new file mode 100644 index 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attribution analysis of runoff\342\200\223sediment in the Upper Basin of Fenhe River, China/table_01.txt" "b/Figures/Liu et al. - 2024 - Simulation and attribution analysis of runoff\342\200\223sediment in the Upper Basin of Fenhe River, China/table_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..a0bb91a0ed3fa873fa69f7fb5a48e119bf2a8347 --- /dev/null +++ "b/Figures/Liu et al. - 2024 - Simulation and attribution analysis of runoff\342\200\223sediment in the Upper Basin of Fenhe River, China/table_01.txt" @@ -0,0 +1 @@ +Statistical characteristics of runoff and sediment diff --git "a/Figures/Liu et al. - 2024 - Simulation and attribution analysis of runoff\342\200\223sediment in the Upper Basin of Fenhe River, China/table_02.jpg" "b/Figures/Liu et al. - 2024 - Simulation and attribution analysis of runoff\342\200\223sediment in the Upper Basin of Fenhe River, China/table_02.jpg" new file mode 100644 index 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b/Figures/Liu et al. - 2025 - Leak detection in water distribution networks using micro-electromechanical systems-based accelerome/table_08.txt @@ -0,0 +1 @@ +Confusion matrix for detected results for pipes diff --git a/Figures/Liu et al. - 2025 - Leak detection in water distribution networks using micro-electromechanical systems-based accelerome/table_09.jpg b/Figures/Liu et al. - 2025 - Leak detection in water distribution networks using micro-electromechanical systems-based accelerome/table_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..eccf58d3707b9b733fb07f2189be6caeffbb3d91 --- /dev/null +++ b/Figures/Liu et al. - 2025 - Leak detection in water distribution networks using micro-electromechanical systems-based accelerome/table_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5bdce88be6915bb94558861a498bebd8ab140318daa5d6592d946207c5a05c90 +size 28916 diff --git a/Figures/Liu et al. - 2025 - Leak detection in water 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"text": "–", + "bbox_points": [ + 463.58, + 154.1, + 467.58, + 162.1 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 154.1, + 533.51, + 162.1 + ] + } + ] + }, + { + "text": "Anuradhapura Mahakanadara – – – – –", + "bbox_points": [ + 43.43, + 168.1, + 533.51, + 176.4 + ], + "words": [ + { + "text": "Anuradhapura", + "bbox_points": [ + 43.43, + 168.38, + 95.61, + 176.4 + ] + }, + { + "text": "Mahakanadara", + "bbox_points": [ + 138.05, + 168.38, + 192.32, + 176.4 + ] + }, + { + "text": "–", + "bbox_points": [ + 265.89, + 168.1, + 269.89, + 176.1 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.43, + 168.1, + 349.43, + 176.1 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 168.1, + 407.99, + 176.1 + ] + }, + { + "text": "–", + "bbox_points": [ + 463.58, + 168.1, + 467.58, + 176.1 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 168.1, + 533.51, + 176.1 + ] + } + ] + }, + { + "text": "Kala A, B, D – – – –", + "bbox_points": [ + 138.05, + 178.59, + 533.51, 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231.36, + 353.43, + 239.38 + ] + }, + { + "text": "C", + "bbox_points": [ + 355.8, + 231.36, + 361.55, + 239.38 + ] + }, + { + "text": "G,", + "bbox_points": [ + 403.99, + 231.36, + 412.74, + 239.38 + ] + }, + { + "text": "I", + "bbox_points": [ + 415.1, + 231.36, + 418.26, + 239.38 + ] + }, + { + "text": "C-B", + "bbox_points": [ + 463.58, + 231.36, + 476.98, + 239.38 + ] + }, + { + "text": "A", + "bbox_points": [ + 529.51, + 231.36, + 535.51, + 239.38 + ] + } + ] + }, + { + "text": "Padaviya A, C, G A, J A, G C, C-B A, B", + "bbox_points": [ + 138.05, + 241.85, + 545.46, + 249.87 + ], + "words": [ + { + "text": "Padaviya", + "bbox_points": [ + 138.05, + 241.85, + 170.04, + 249.87 + ] + }, + { + "text": "A,", + "bbox_points": [ + 265.89, + 241.85, + 273.89, + 249.87 + ] + }, + { + "text": "C,", + "bbox_points": [ + 276.26, + 241.85, + 284.01, + 249.87 + ] + }, + { + "text": "G", + "bbox_points": [ + 286.41, + 241.85, + 293.16, + 249.87 + ] + }, + { + "text": "A,", + "bbox_points": [ + 345.43, + 241.85, + 353.43, + 249.87 + ] + }, + { + "text": "J", + "bbox_points": [ + 355.8, + 241.85, + 358.55, + 249.87 + ] + }, + { + "text": "A,", + "bbox_points": [ + 403.99, + 241.85, + 411.99, + 249.87 + ] + }, + { + "text": "G", + "bbox_points": [ + 414.37, + 241.85, + 421.11, + 249.87 + ] + }, + { + "text": "C,", + "bbox_points": [ + 463.58, + 241.85, + 471.32, + 249.87 + ] + }, + { + "text": "C-B", + "bbox_points": [ + 473.67, + 241.85, + 487.07, + 249.87 + ] + }, + { + "text": "A,", + "bbox_points": [ + 529.51, + 241.85, + 537.51, + 249.87 + ] + }, + { + "text": "B", + "bbox_points": [ + 539.89, + 241.85, + 545.46, + 249.87 + ] + } + ] + }, + { + "text": "Wahalkada – – – – –", + "bbox_points": [ + 138.05, + 252.12, + 533.51, + 260.41 + ], + "words": [ + { + "text": "Wahalkada", + "bbox_points": [ + 138.05, + 252.4, + 178.96, + 260.41 + ] + }, + { + "text": "–", + "bbox_points": [ + 265.89, + 252.12, + 269.89, + 260.12 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.43, 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270.6 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 262.6, + 533.51, + 270.6 + ] + } + ] + }, + { + "text": "Polonnaruwa Ambagaswewa A, C, G A, B – C, C-B A, B", + "bbox_points": [ + 43.43, + 276.61, + 545.46, + 284.9 + ], + "words": [ + { + "text": "Polonnaruwa", + "bbox_points": [ + 43.43, + 276.89, + 91.41, + 284.9 + ] + }, + { + "text": "Ambagaswewa", + "bbox_points": [ + 138.05, + 276.89, + 191.3, + 284.9 + ] + }, + { + "text": "A,", + "bbox_points": [ + 265.89, + 276.89, + 273.89, + 284.9 + ] + }, + { + "text": "C,", + "bbox_points": [ + 276.27, + 276.89, + 284.01, + 284.9 + ] + }, + { + "text": "G", + "bbox_points": [ + 286.41, + 276.89, + 293.16, + 284.9 + ] + }, + { + "text": "A,", + "bbox_points": [ + 345.43, + 276.89, + 353.43, + 284.9 + ] + }, + { + "text": "B", + "bbox_points": [ + 355.81, + 276.89, + 361.38, + 284.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 276.61, + 407.99, + 284.61 + ] + }, + { + "text": "C,", + "bbox_points": [ + 463.58, + 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340.91 + ] + }, + { + "text": "–", + "bbox_points": [ + 265.89, + 332.62, + 269.89, + 340.62 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.43, + 332.62, + 349.43, + 340.62 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 332.62, + 407.99, + 340.62 + ] + }, + { + "text": "C,", + "bbox_points": [ + 463.57, + 332.9, + 471.32, + 340.91 + ] + }, + { + "text": "C-B", + "bbox_points": [ + 473.67, + 332.9, + 487.07, + 340.91 + ] + }, + { + "text": "B", + "bbox_points": [ + 529.51, + 332.9, + 535.08, + 340.91 + ] + } + ] + }, + { + "text": "Dambulu Oya – – – – –", + "bbox_points": [ + 138.04, + 343.11, + 533.51, + 351.4 + ], + "words": [ + { + "text": "Dambulu", + "bbox_points": [ + 138.04, + 343.39, + 171.68, + 351.4 + ] + }, + { + "text": "Oya", + "bbox_points": [ + 174.05, + 343.39, + 188.75, + 351.4 + ] + }, + { + "text": "–", + "bbox_points": [ + 265.89, + 343.11, + 269.89, + 351.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.43, + 343.11, + 349.43, + 351.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 343.11, + 407.99, + 351.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 463.57, + 343.11, + 467.57, + 351.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 343.11, + 533.51, + 351.11 + ] + } + ] + }, + { + "text": "Trincomalee Kanthale A, D – – – –", + "bbox_points": [ + 43.42, + 357.11, + 533.51, + 365.41 + ], + "words": [ + { + "text": "Trincomalee", + "bbox_points": [ + 43.42, + 357.39, + 88.54, + 365.41 + ] + }, + { + "text": "Kanthale", + "bbox_points": [ + 138.04, + 357.39, + 170.76, + 365.41 + ] + }, + { + "text": "A,", + "bbox_points": [ + 265.89, + 357.39, + 273.89, + 365.41 + ] + }, + { + "text": "D", + "bbox_points": [ + 276.26, + 357.39, + 282.84, + 365.41 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.43, + 357.11, + 349.43, + 365.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 357.11, + 407.99, + 365.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 463.57, + 357.11, + 467.57, + 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533.51, + 379.11 + ] + } + ] + }, + { + "text": "Ulhitiya A, C, D – A, I C A, B", + "bbox_points": [ + 138.04, + 381.6, + 545.46, + 389.9 + ], + "words": [ + { + "text": "Ulhitiya", + "bbox_points": [ + 138.04, + 381.88, + 166.64, + 389.9 + ] + }, + { + "text": "A,", + "bbox_points": [ + 265.89, + 381.88, + 273.89, + 389.9 + ] + }, + { + "text": "C,", + "bbox_points": [ + 276.26, + 381.88, + 284.01, + 389.9 + ] + }, + { + "text": "D", + "bbox_points": [ + 286.41, + 381.88, + 292.99, + 389.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.43, + 381.6, + 349.43, + 389.6 + ] + }, + { + "text": "A,", + "bbox_points": [ + 403.99, + 381.88, + 411.99, + 389.9 + ] + }, + { + "text": "I", + "bbox_points": [ + 414.36, + 381.88, + 417.52, + 389.9 + ] + }, + { + "text": "C", + "bbox_points": [ + 463.57, + 381.88, + 469.32, + 389.9 + ] + }, + { + "text": "A,", + "bbox_points": [ + 529.51, + 381.88, + 537.51, + 389.9 + ] + }, + { + "text": "B", + "bbox_points": [ + 539.88, + 381.88, + 545.46, + 389.9 + ] + } + ] + }, + { + "text": "Batticaloa Unnichchi A, D A, B A, G C, C-B A, B", + "bbox_points": [ + 43.42, + 395.88, + 545.46, + 403.9 + ], + "words": [ + { + "text": "Batticaloa", + "bbox_points": [ + 43.42, + 395.88, + 79.71, + 403.9 + ] + }, + { + "text": "Unnichchi", + "bbox_points": [ + 138.04, + 395.88, + 175.92, + 403.9 + ] + }, + { + "text": "A,", + "bbox_points": [ + 265.89, + 395.88, + 273.89, + 403.9 + ] + }, + { + "text": "D", + "bbox_points": [ + 276.26, + 395.88, + 282.84, + 403.9 + ] + }, + { + "text": "A,", + "bbox_points": [ + 345.43, + 395.88, + 353.43, + 403.9 + ] + }, + { + "text": "B", + "bbox_points": [ + 355.8, + 395.88, + 361.38, + 403.9 + ] + }, + { + "text": "A,", + "bbox_points": [ + 403.99, + 395.88, + 411.99, + 403.9 + ] + }, + { + "text": "G", + "bbox_points": [ + 414.37, + 395.88, + 421.11, + 403.9 + ] + }, + { + "text": "C,", + "bbox_points": [ + 463.58, + 395.88, + 471.32, + 403.9 + ] + }, + { + "text": "C-B", + "bbox_points": [ + 473.67, + 395.88, + 487.07, + 403.9 + ] + }, + { + "text": "A,", + "bbox_points": [ + 529.51, + 395.88, + 537.51, + 403.9 + ] + }, + { + "text": "B", + "bbox_points": [ + 539.88, + 395.88, + 545.46, + 403.9 + ] + } + ] + }, + { + "text": "Matale Kalu Gaga – – - – –", + "bbox_points": [ + 43.42, + 409.61, + 533.51, + 417.9 + ], + "words": [ + { + "text": "Matale", + "bbox_points": [ + 43.42, + 409.89, + 68.22, + 417.9 + ] + }, + { + "text": "Kalu", + "bbox_points": [ + 138.04, + 409.89, + 155.11, + 417.9 + ] + }, + { + "text": "Gaga", + "bbox_points": [ + 157.49, + 409.89, + 176.55, + 417.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 265.89, + 409.61, + 269.89, + 417.61 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.43, + 409.61, + 349.43, + 417.61 + ] + }, + { + "text": "-", + "bbox_points": [ + 403.99, + 409.89, + 406.07, + 417.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 463.57, + 409.61, + 467.57, + 417.61 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 409.61, + 533.51, + 417.61 + ] + } + ] + }, + { + "text": "Moragahakanda – – – – –", + "bbox_points": [ + 138.04, + 420.09, + 533.51, + 428.39 + ], + "words": [ + { + "text": "Moragahakanda", + "bbox_points": [ + 138.04, + 420.37, + 196.71, + 428.39 + ] + }, + { + "text": "–", + "bbox_points": [ + 265.89, + 420.09, + 269.89, + 428.09 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.43, + 420.09, + 349.43, + 428.09 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 420.09, + 407.99, + 428.09 + ] + }, + { + "text": "–", + "bbox_points": [ + 463.57, + 420.09, + 467.57, + 428.09 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 420.09, + 533.51, + 428.09 + ] + } + ] + }, + { + "text": "Ampara Maduru Oya A, B, G – – – –", + "bbox_points": [ + 43.42, + 434.1, + 533.51, + 442.39 + ], + "words": [ + { + "text": "Ampara", + "bbox_points": [ + 43.42, + 434.38, + 72.3, + 442.39 + ] + }, + { + "text": "Maduru", + "bbox_points": [ + 138.04, + 434.38, + 166.84, + 442.39 + ] + }, + { + "text": "Oya", + "bbox_points": [ + 169.23, + 434.38, + 183.93, + 442.39 + ] + }, + { + "text": "A,", + "bbox_points": [ + 265.89, + 434.38, + 273.89, + 442.39 + ] + }, + { + "text": "B,", + "bbox_points": [ + 276.26, + 434.38, + 283.84, + 442.39 + ] + }, + { + "text": "G", + "bbox_points": [ + 286.24, + 434.38, + 292.98, + 442.39 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.43, + 434.1, + 349.43, + 442.1 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 434.1, + 407.99, + 442.1 + ] + }, + { + "text": "–", + "bbox_points": [ + 463.57, + 434.1, + 467.57, + 442.1 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 434.1, + 533.51, + 442.1 + ] + } + ] + }, + { + "text": "Kondawatuwana A, B, E, G – – – –", + "bbox_points": [ + 138.04, + 444.59, + 533.51, + 452.88 + ], + "words": [ + { + "text": "Kondawatuwana", + "bbox_points": [ + 138.04, + 444.87, + 198.39, + 452.88 + ] + }, + { + "text": "A,", + "bbox_points": [ + 265.89, + 444.87, + 273.89, + 452.88 + ] + }, + { 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"text": "–", + "bbox_points": [ + 345.43, + 455.07, + 349.43, + 463.07 + ] + }, + { + "text": "A,", + "bbox_points": [ + 403.99, + 455.35, + 411.99, + 463.37 + ] + }, + { + "text": "G", + "bbox_points": [ + 414.36, + 455.35, + 421.11, + 463.37 + ] + }, + { + "text": "C", + "bbox_points": [ + 463.57, + 455.35, + 469.32, + 463.37 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 455.07, + 533.51, + 463.07 + ] + } + ] + }, + { + "text": "Himidurawa – – – – –", + "bbox_points": [ + 138.04, + 465.62, + 533.51, + 473.91 + ], + "words": [ + { + "text": "Himidurawa", + "bbox_points": [ + 138.04, + 465.9, + 183.08, + 473.91 + ] + }, + { + "text": "–", + "bbox_points": [ + 265.88, + 465.62, + 269.88, + 473.62 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.42, + 465.62, + 349.42, + 473.62 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 465.62, + 407.99, + 473.62 + ] + }, + { + "text": "–", + "bbox_points": [ + 463.57, + 465.62, + 467.57, + 473.62 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 465.62, + 533.51, + 473.62 + ] + } + ] + }, + { + "text": "Sagama tank – – – – –", + "bbox_points": [ + 138.04, + 476.11, + 533.51, + 484.4 + ], + "words": [ + { + "text": "Sagama", + "bbox_points": [ + 138.04, + 476.39, + 166.27, + 484.4 + ] + }, + { + "text": "tank", + "bbox_points": [ + 168.43, + 476.39, + 184.49, + 484.4 + ] + }, + { + "text": "–", + "bbox_points": [ + 265.88, + 476.11, + 269.88, + 484.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.42, + 476.11, + 349.42, + 484.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 476.11, + 407.99, + 484.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 463.57, + 476.11, + 467.57, + 484.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 476.11, + 533.51, + 484.11 + ] + } + ] + }, + { + "text": "Senanayaka Samudraya E – – – A, B", + "bbox_points": [ + 138.04, + 486.59, + 545.46, + 494.89 + ], + "words": [ + { + "text": "Senanayaka", + "bbox_points": [ + 138.04, + 486.87, + 181.1, + 494.89 + ] + }, + { + "text": "Samudraya", + "bbox_points": [ + 183.51, + 486.87, + 223.44, + 494.89 + ] + }, + { + "text": "E", + "bbox_points": [ + 265.88, + 486.87, + 271.38, + 494.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.42, + 486.59, + 349.42, + 494.59 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 486.59, + 407.99, + 494.59 + ] + }, + { + "text": "–", + "bbox_points": [ + 463.57, + 486.59, + 467.57, + 494.59 + ] + }, + { + "text": "A,", + "bbox_points": [ + 529.51, + 486.87, + 537.51, + 494.89 + ] + }, + { + "text": "B", + "bbox_points": [ + 539.88, + 486.87, + 545.46, + 494.89 + ] + } + ] + }, + { + "text": "Nuwara Eliya Castlereigh lake A, B, G – – – –", + "bbox_points": [ + 43.42, + 500.6, + 533.51, + 508.89 + ], + "words": [ + { + "text": "Nuwara", + "bbox_points": [ + 43.42, + 500.88, + 72.19, + 508.89 + ] + }, + { + "text": "Eliya", + "bbox_points": [ + 74.6, + 500.88, + 92.71, + 508.89 + ] + }, + { + "text": "Castlereigh", + "bbox_points": [ + 138.04, + 500.88, + 178.06, + 508.89 + ] + }, + { + "text": "lake", + "bbox_points": [ + 180.39, + 500.88, + 195.28, + 508.89 + ] + }, + { + "text": "A,", + "bbox_points": [ + 265.88, + 500.88, + 273.88, + 508.89 + ] + }, + { + "text": "B,", + "bbox_points": [ + 276.26, + 500.88, + 283.84, + 508.89 + ] + }, + { + "text": "G", + "bbox_points": [ + 286.24, + 500.88, + 292.98, + 508.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 345.42, + 500.6, + 349.42, + 508.6 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 500.6, + 407.99, + 508.6 + ] + }, + { + "text": "–", + "bbox_points": [ + 463.57, + 500.6, + 467.57, + 508.6 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 500.6, + 533.51, + 508.6 + ] + } + ] + }, + { + "text": "Maussakele – A, C – – –", + "bbox_points": [ + 138.04, + 511.08, + 533.51, + 519.38 + ], + "words": [ + { + "text": "Maussakele", + "bbox_points": [ + 138.04, + 511.36, + 180.06, + 519.38 + ] + }, + { + "text": "–", + "bbox_points": [ + 265.88, + 511.08, + 269.88, + 519.08 + ] + }, + { + "text": "A,", + "bbox_points": [ + 345.42, + 511.36, + 353.42, + 519.38 + ] + }, + { + "text": "C", + "bbox_points": [ + 355.8, + 511.36, + 361.54, + 519.38 + ] + }, + { + "text": "–", + "bbox_points": [ + 403.99, + 511.08, + 407.99, + 519.08 + ] + }, + { + "text": "–", + "bbox_points": [ + 463.57, + 511.08, + 467.57, + 519.08 + ] + }, + { + "text": "–", + "bbox_points": [ + 529.51, + 511.08, + 533.51, + 519.08 + ] + } + ] + }, + { + "text": "Gregory B, D, G – – – A, B", + "bbox_points": [ + 138.04, + 521.57, + 545.46, + 529.87 + ], + "words": [ + { + "text": "Gregory", + "bbox_points": [ + 138.04, + 521.85, + 167.53, + 529.87 + ] + }, + { + "text": "B,", + "bbox_points": [ + 265.88, + 521.85, + 273.46, + 529.87 + ] + }, + { + "text": "D,", + "bbox_points": [ + 275.86, + 521.85, + 284.44, + 529.87 + ] + }, + { + "text": "G", + "bbox_points": [ + 286.8, + 521.85, + 293.55, + 529.87 + ] + }, + { + "text": "–", + 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206.9 + ] + }, + { + "text": "13", + "bbox_points": [ + 449.46, + 198.88, + 458.29, + 206.9 + ] + }, + { + "text": "(8.0%)", + "bbox_points": [ + 460.69, + 198.88, + 484.01, + 206.9 + ] + } + ] + }, + { + "text": "Length of time in Uganda 0.987", + "bbox_points": [ + 64.01, + 212.88, + 552.12, + 220.9 + ], + "words": [ + { + "text": "Length", + "bbox_points": [ + 64.01, + 212.88, + 89.4, + 220.9 + ] + }, + { + "text": "of", + "bbox_points": [ + 91.73, + 212.88, + 98.8, + 220.9 + ] + }, + { + "text": "time", + "bbox_points": [ + 101.2, + 212.88, + 117.1, + 220.9 + ] + }, + { + "text": "in", + "bbox_points": [ + 119.45, + 212.88, + 126.52, + 220.9 + ] + }, + { + "text": "Uganda", + "bbox_points": [ + 128.92, + 212.88, + 156.89, + 220.9 + ] + }, + { + "text": "0.987", + "bbox_points": [ + 532.46, + 212.88, + 552.12, + 220.9 + ] + } + ] + }, + { + "text": "5 years 132 (38.8%) 68 (39.1%) 64 (38.6%)", + "bbox_points": [ + 79.71, + 226.89, + 488.42, + 234.9 + ], + "words": [ + { + "text": "5", + "bbox_points": [ + 79.71, + 226.89, + 84.13, + 234.9 + ] + }, + { + "text": "years", + "bbox_points": [ + 86.51, + 226.89, + 104.96, + 234.9 + ] + }, + { + "text": "132", + "bbox_points": [ + 259.14, + 226.89, + 272.39, + 234.9 + ] + }, + { + "text": "(38.8%)", + "bbox_points": [ + 274.79, + 226.89, + 302.53, + 234.9 + ] + }, + { + "text": "68", + "bbox_points": [ + 358.75, + 226.89, + 367.58, + 234.9 + ] + }, + { + "text": "(39.1%)", + "bbox_points": [ + 369.92, + 226.89, + 397.66, + 234.9 + ] + }, + { + "text": "64", + "bbox_points": [ + 449.46, + 226.89, + 458.29, + 234.9 + ] + }, + { + "text": "(38.6%)", + "bbox_points": [ + 460.69, + 226.89, + 488.42, + 234.9 + ] + } + ] + }, + { + "text": "6–10 years 123 (36.2%) 62 (35.6%) 61 (36.8%)", + "bbox_points": [ + 72.0, + 240.61, + 488.42, + 248.91 + ], + "words": [ + { + "text": "6–10", + "bbox_points": [ + 72.0, + 240.61, + 89.22, + 248.91 + ] + }, + { + "text": "years", + "bbox_points": [ + 91.56, + 240.89, + 110.06, + 248.91 + ] + }, + { + "text": "123", + "bbox_points": [ + 259.14, + 240.89, + 272.39, + 248.91 + ] + }, + { + "text": "(36.2%)", + "bbox_points": [ + 274.79, + 240.89, + 302.53, + 248.91 + ] + }, + { + "text": "62", + "bbox_points": [ + 358.75, + 240.89, + 367.59, + 248.91 + ] + }, + { + "text": "(35.6%)", + "bbox_points": [ + 369.92, + 240.89, + 397.66, + 248.91 + ] + }, + { + "text": "61", + "bbox_points": [ + 449.46, + 240.89, + 458.29, + 248.91 + ] + }, + { + "text": "(36.8%)", + "bbox_points": [ + 460.69, + 240.89, + 488.42, + 248.91 + ] + } + ] + }, + { + "text": ".10 years 85 (25.0%) 44 (25.3%) 41 (24.6%)", + "bbox_points": [ + 73.53, + 254.61, + 488.42, + 262.91 + ], + "words": [ + { + "text": ".10", + "bbox_points": [ + 73.53, + 254.61, + 89.05, + 262.91 + ] + }, + { + "text": "years", + "bbox_points": [ + 91.39, + 254.89, + 109.89, + 262.91 + ] + }, + { + "text": "85", + "bbox_points": [ + 259.14, + 254.89, + 267.98, + 262.91 + ] + }, + { + "text": "(25.0%)", + "bbox_points": [ + 270.37, + 254.89, + 298.11, + 262.91 + ] + }, + { + "text": "44", + "bbox_points": [ + 358.75, + 254.89, + 367.59, + 262.91 + ] + }, + { + "text": "(25.3%)", + "bbox_points": [ + 369.92, + 254.89, + 397.66, + 262.91 + ] + }, + { + "text": "41", + "bbox_points": [ + 449.46, + 254.89, + 458.29, + 262.91 + ] + }, + { + "text": "(24.6%)", + "bbox_points": [ + 460.69, + 254.89, + 488.42, + 262.91 + ] + } + ] + }, + { + "text": "Employment", + "bbox_points": [ + 64.01, + 268.9, + 110.19, + 276.91 + ], + "words": [ + { + "text": "Employment", + "bbox_points": [ + 64.01, + 268.9, + 110.19, + 276.91 + ] + } + ] + }, + { + "text": "No employment 174 (51.2%) 91 (52.3%) 83 (50.0%) 0.160", + "bbox_points": [ + 72.0, + 282.9, + 552.12, + 290.92 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 72.0, + 282.9, + 83.32, + 290.92 + ] + }, + { + "text": "employment", + "bbox_points": [ + 85.66, + 282.9, + 130.36, + 290.92 + ] + }, + { + "text": "174", + "bbox_points": [ + 259.14, + 282.9, + 272.39, + 290.92 + ] + }, + { + "text": "(51.2%)", + "bbox_points": [ + 274.79, + 282.9, + 302.53, + 290.92 + ] + }, + { + "text": "91", + "bbox_points": [ + 358.75, + 282.9, + 367.58, + 290.92 + ] + }, + { + "text": "(52.3%)", + "bbox_points": [ + 369.92, + 282.9, + 397.66, + 290.92 + ] + }, + { + "text": "83", + "bbox_points": [ + 449.46, + 282.9, + 458.29, + 290.92 + ] + }, + { + "text": "(50.0%)", + "bbox_points": [ + 460.69, + 282.9, + 488.42, + 290.92 + ] + }, + { + "text": "0.160", + "bbox_points": [ + 532.46, + 282.9, + 552.12, + 290.92 + ] + } + ] + }, + { + "text": "Student 78 (22.9%) 45 (25.9%) 33 (19.9%)", + "bbox_points": [ + 72.0, + 296.9, + 488.42, + 304.92 + ], + "words": [ + { + "text": "Student", + "bbox_points": [ + 72.0, + 296.9, + 99.79, + 304.92 + ] + }, + { + "text": "78", + "bbox_points": [ + 259.14, + 296.9, + 267.98, + 304.92 + ] + }, + { + "text": "(22.9%)", + "bbox_points": [ + 270.37, + 296.9, + 298.1, + 304.92 + ] + }, + { + "text": "45", + "bbox_points": [ + 358.75, + 296.9, + 367.58, + 304.92 + ] + }, + { + "text": "(25.9%)", + "bbox_points": [ + 369.92, + 296.9, + 397.66, + 304.92 + ] + }, + { + "text": "33", + "bbox_points": [ + 449.46, + 296.9, + 458.29, + 304.92 + ] + }, + { + "text": "(19.9%)", + "bbox_points": [ + 460.69, + 296.9, + 488.42, + 304.92 + ] + } + ] + }, + { + "text": "Employed (paid/unpaid) 88 (25.9%) 38 (21.8%) 50 (30.1%)", + "bbox_points": [ + 72.0, + 310.91, + 488.42, + 318.92 + ], + "words": [ + { + "text": "Employed", + "bbox_points": [ + 72.0, + 310.91, + 108.3, + 318.92 + ] + }, + { + "text": "(paid/unpaid)", + "bbox_points": [ + 110.67, + 310.91, + 160.93, + 318.92 + ] + }, + { + "text": "88", + "bbox_points": [ + 259.14, + 310.91, + 267.98, + 318.92 + ] + }, + { + "text": "(25.9%)", + "bbox_points": [ + 270.37, + 310.91, + 298.11, + 318.92 + ] + }, + { + "text": "38", + "bbox_points": [ + 358.75, + 310.91, + 367.59, + 318.92 + ] + }, + { + "text": "(21.8%)", + "bbox_points": [ + 369.92, + 310.91, + 397.66, + 318.92 + ] + }, + { + "text": "50", + "bbox_points": [ + 449.46, + 310.91, + 458.29, + 318.92 + ] + }, + { + "text": "(30.1%)", + "bbox_points": [ + 460.69, + 310.91, + 488.42, + 318.92 + ] + } + ] + }, + { + "text": "Highest level of education ◊n¼5 0.001*", + "bbox_points": [ + 64.01, + 322.97, + 556.18, + 332.87 + ], + "words": [ + { + "text": "Highest", + "bbox_points": [ + 64.01, + 324.85, + 91.75, + 332.87 + ] + }, + { + "text": "level", + "bbox_points": [ + 94.17, + 324.85, + 110.76, + 332.87 + ] + }, + { + "text": "of", + "bbox_points": [ + 113.16, + 324.85, + 120.23, + 332.87 + ] + }, + { + "text": "education", + "bbox_points": [ + 122.63, + 324.85, + 157.94, + 332.87 + ] + }, + { + "text": "◊n¼5", + "bbox_points": [ + 160.33, + 323.06, + 178.44, + 332.57 + ] + }, + { + "text": "0.001*", + "bbox_points": [ + 532.46, + 322.97, + 556.18, + 332.87 + ] + } + ] + }, + { + "text": "Less than secondary school 101 (30.2%) 67 (39.4%) 34 (20.6%)", + "bbox_points": [ + 72.0, + 338.86, + 488.42, + 346.87 + ], + "words": [ + { + "text": "Less", + "bbox_points": [ + 72.0, + 338.86, + 87.99, + 346.87 + ] + }, + { + "text": "than", + "bbox_points": [ + 90.14, + 338.86, + 106.37, + 346.87 + ] + }, + { + "text": "secondary", + "bbox_points": [ + 108.74, + 338.86, + 145.28, + 346.87 + ] + }, + { + "text": "school", + "bbox_points": [ + 147.46, + 338.86, + 171.01, + 346.87 + ] + }, + { + "text": "101", + "bbox_points": [ + 259.14, + 338.86, + 272.39, + 346.87 + ] + }, + { + "text": "(30.2%)", + "bbox_points": [ + 274.79, + 338.86, + 302.53, + 346.87 + ] + }, + { + "text": "67", + "bbox_points": [ + 358.75, + 338.86, + 367.59, + 346.87 + ] + }, + { + "text": "(39.4%)", + "bbox_points": [ + 369.92, + 338.86, + 397.66, + 346.87 + ] + }, + { + "text": "34", + "bbox_points": [ + 449.46, + 338.86, + 458.29, + 346.87 + ] + }, + { + "text": "(20.6%)", + "bbox_points": [ + 460.69, + 338.86, + 488.42, + 346.87 + ] + } + ] + }, + { + "text": "Some secondary school 206 (61.5%) 91 (53.5%) 115 (69.7%)", + "bbox_points": [ + 72.0, + 352.86, + 492.85, + 360.88 + ], + "words": [ + { + "text": "Some", + "bbox_points": [ + 72.0, + 352.86, + 92.32, + 360.88 + ] + }, + { + "text": "secondary", + "bbox_points": [ + 94.62, + 352.86, + 131.17, + 360.88 + ] + }, + { + "text": "school", + "bbox_points": [ + 133.34, + 352.86, + 156.9, + 360.88 + ] + }, + { + "text": "206", + "bbox_points": [ + 259.14, + 352.86, + 272.39, + 360.88 + ] + }, + { + "text": "(61.5%)", + "bbox_points": [ + 274.79, + 352.86, + 302.53, + 360.88 + ] + }, + { + "text": "91", + "bbox_points": [ + 358.75, + 352.86, + 367.59, + 360.88 + ] + }, + { + "text": "(53.5%)", + "bbox_points": [ + 369.92, + 352.86, + 397.66, + 360.88 + ] + }, + { + "text": "115", + "bbox_points": [ + 449.46, + 352.86, + 462.71, + 360.88 + ] + }, + { + "text": "(69.7%)", + "bbox_points": [ + 465.11, + 352.86, + 492.85, + 360.88 + ] + } + ] + }, + { + "text": "Secondary school or higher 28 (8.3%) 12 (7.1%) 16 (9.7%)", + "bbox_points": [ + 72.0, + 366.86, + 484.01, + 374.88 + ], + "words": [ + { + "text": "Secondary", + "bbox_points": [ + 72.0, + 366.86, + 109.85, + 374.88 + ] + }, + { + "text": "school", + "bbox_points": [ + 112.08, + 366.86, + 135.64, + 374.88 + ] + }, + { + "text": "or", + "bbox_points": [ + 137.99, + 366.86, + 145.73, + 374.88 + ] + }, + { + "text": "higher", + "bbox_points": [ + 148.14, + 366.86, + 171.12, + 374.88 + ] + }, + { + "text": "28", + "bbox_points": [ + 259.14, + 366.86, + 267.98, + 374.88 + ] + }, + { + "text": "(8.3%)", + "bbox_points": [ + 270.37, + 366.86, + 293.69, + 374.88 + ] + }, + { + "text": "12", + "bbox_points": [ + 358.75, + 366.86, + 367.59, + 374.88 + ] + }, + { + "text": "(7.1%)", + "bbox_points": [ + 369.92, + 366.86, + 393.24, + 374.88 + ] + }, + { + "text": "16", + "bbox_points": [ + 449.46, + 366.86, + 458.29, + 374.88 + ] + }, + { + "text": "(9.7%)", + "bbox_points": [ + 460.69, + 366.86, + 484.01, + 374.88 + ] + } + ] + }, + { + "text": "Structural factors", + "bbox_points": [ + 64.01, + 378.99, + 129.07, + 386.99 + ], + "words": [ + { + "text": "Structural", + "bbox_points": [ + 64.01, + 378.99, + 101.73, + 386.99 + ] + }, + { + "text": "factors", + "bbox_points": [ + 104.09, + 378.99, + 129.07, + 386.99 + ] + } + ] + }, + { + "text": "Food insecure 0.509", + "bbox_points": [ + 64.01, + 394.87, + 552.12, + 402.88 + ], + "words": [ + { + "text": "Food", + "bbox_points": [ + 64.01, + 394.87, + 82.27, + 402.88 + ] + }, + { + "text": "insecure", + "bbox_points": [ + 84.7, + 394.87, + 114.61, + 402.88 + ] + }, + { + "text": "0.509", + "bbox_points": [ + 532.46, + 394.87, + 552.12, + 402.88 + ] + } + ] + }, + { + "text": "No 119 (35.0%) 58 (33.3%) 61 (36.8%)", + "bbox_points": [ + 72.0, + 408.87, + 488.42, + 416.89 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 72.0, + 408.87, + 83.32, + 416.89 + ] + }, + { + "text": "119", + "bbox_points": [ + 259.15, + 408.87, + 272.39, + 416.89 + ] + }, + { + "text": "(35.0%)", + "bbox_points": [ + 274.79, + 408.87, + 302.53, + 416.89 + ] + }, + { + "text": "58", + "bbox_points": [ + 358.75, + 408.87, + 367.59, + 416.89 + ] + }, + { + "text": "(33.3%)", + "bbox_points": [ + 369.92, + 408.87, + 397.66, + 416.89 + ] + }, + { + "text": "61", + "bbox_points": [ + 449.46, + 408.87, + 458.3, + 416.89 + ] + }, + { + "text": "(36.8%)", + "bbox_points": [ + 460.69, + 408.87, + 488.42, + 416.89 + ] + } + ] + }, + { + "text": "Yes 221 (65.0%) 116 (66.7%) 105 (63.2%)", + "bbox_points": [ + 72.0, + 422.87, + 492.85, + 430.89 + ], + "words": [ + { + "text": "Yes", + "bbox_points": [ + 72.0, + 422.87, + 84.89, + 430.89 + ] + }, + { + "text": "221", + "bbox_points": [ + 259.15, + 422.87, + 272.39, + 430.89 + ] + }, + { + "text": "(65.0%)", + "bbox_points": [ + 274.79, + 422.87, + 302.53, + 430.89 + ] + }, + { + "text": "116", + "bbox_points": [ + 358.75, + 422.87, + 372.0, + 430.89 + ] + }, + { + "text": "(66.7%)", + "bbox_points": [ + 374.35, + 422.87, + 402.08, + 430.89 + ] + }, + { + "text": "105", + "bbox_points": [ + 449.46, + 422.87, + 462.71, + 430.89 + ] + }, + { + "text": "(63.2%)", + "bbox_points": [ + 465.11, + 422.87, + 492.85, + 430.89 + ] + } + ] + }, + { + "text": "Water insecure ◊n¼1 0.469", + "bbox_points": [ + 64.01, + 435.03, + 552.12, + 444.89 + ], + "words": [ + { + "text": "Water", + "bbox_points": [ + 64.01, + 436.88, + 85.76, + 444.89 + ] + }, + { + "text": "insecure", + "bbox_points": [ + 88.16, + 436.88, + 118.07, + 444.89 + ] + }, + { + "text": "◊n¼1", + "bbox_points": [ + 120.48, + 435.03, + 138.58, + 444.6 + ] + }, + { + "text": "0.469", + "bbox_points": [ + 532.46, + 436.88, + 552.12, + 444.89 + ] + } + ] + }, + { + "text": "No 177 (52.2%) 87 (50.3%) 90 (54.2%)", + "bbox_points": [ + 72.0, + 450.88, + 488.42, + 458.9 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 72.0, + 450.88, + 83.32, + 458.9 + ] + }, + { + "text": "177", + "bbox_points": [ + 259.14, + 450.88, + 272.39, + 458.9 + ] + }, + { + "text": "(52.2%)", + "bbox_points": [ + 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"bbox_points": [ + 449.46, + 464.88, + 458.29, + 472.9 + ] + }, + { + "text": "(45.8%)", + "bbox_points": [ + 460.69, + 464.88, + 488.42, + 472.9 + ] + } + ] + }, + { + "text": "Concurrent food and water insecurity ◊n¼1 0.339", + "bbox_points": [ + 64.01, + 477.04, + 552.12, + 486.9 + ], + "words": [ + { + "text": "Concurrent", + "bbox_points": [ + 64.01, + 478.89, + 104.92, + 486.9 + ] + }, + { + "text": "food", + "bbox_points": [ + 107.27, + 478.89, + 123.49, + 486.9 + ] + }, + { + "text": "and", + "bbox_points": [ + 125.86, + 478.89, + 139.34, + 486.9 + ] + }, + { + "text": "water", + "bbox_points": [ + 141.74, + 478.89, + 161.62, + 486.9 + ] + }, + { + "text": "insecurity", + "bbox_points": [ + 163.96, + 478.89, + 199.0, + 486.9 + ] + }, + { + "text": "◊n¼1", + "bbox_points": [ + 201.38, + 477.04, + 219.48, + 486.61 + ] + }, + { + "text": "0.339", + "bbox_points": [ + 532.46, + 478.89, + 552.12, + 486.9 + ] + } + ] + }, + { + "text": "No 216 (63.7%) 106 (61.3%) 110 (66.3%)", + 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"text": "Secure", + "bbox_points": [ + 72.0, + 534.9, + 96.24, + 542.92 + ] + }, + { + "text": "155", + "bbox_points": [ + 259.15, + 534.9, + 272.39, + 542.92 + ] + }, + { + "text": "(45.6%)", + "bbox_points": [ + 274.79, + 534.9, + 302.53, + 542.92 + ] + }, + { + "text": "82", + "bbox_points": [ + 358.76, + 534.9, + 367.59, + 542.92 + ] + }, + { + "text": "(47.1%)", + "bbox_points": [ + 369.92, + 534.9, + 397.66, + 542.92 + ] + }, + { + "text": "73", + "bbox_points": [ + 449.46, + 534.9, + 458.3, + 542.92 + ] + }, + { + "text": "(44.0%)", + "bbox_points": [ + 460.69, + 534.9, + 488.43, + 542.92 + ] + } + ] + }, + { + "text": "Insecure 185 (54.4%) 92 (52.9%) 93 (56.0%)", + "bbox_points": [ + 72.0, + 548.9, + 488.42, + 556.92 + ], + "words": [ + { + "text": "Insecure", + "bbox_points": [ + 72.0, + 548.9, + 102.71, + 556.92 + ] + }, + { + "text": "185", + "bbox_points": [ + 259.15, + 548.9, + 272.39, + 556.92 + ] + }, + { + "text": "(54.4%)", + "bbox_points": [ + 274.79, + 548.9, + 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}, + { + "text": "(dependents)", + "bbox_points": [ + 117.41, + 576.85, + 163.93, + 584.87 + ] + }, + { + "text": "0.001*", + "bbox_points": [ + 532.46, + 574.97, + 556.18, + 584.87 + ] + } + ] + }, + { + "text": "No 297 (87.4) 142 (81.6) 155 (93.4)", + "bbox_points": [ + 72.0, + 590.86, + 485.85, + 598.87 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 72.0, + 590.86, + 83.32, + 598.87 + ] + }, + { + "text": "297", + "bbox_points": [ + 259.15, + 590.86, + 272.39, + 598.87 + ] + }, + { + "text": "(87.4)", + "bbox_points": [ + 274.79, + 590.86, + 295.53, + 598.87 + ] + }, + { + "text": "142", + "bbox_points": [ + 358.76, + 590.86, + 372.0, + 598.87 + ] + }, + { + "text": "(81.6)", + "bbox_points": [ + 374.35, + 590.86, + 395.08, + 598.87 + ] + }, + { + "text": "155", + "bbox_points": [ + 449.46, + 590.86, + 462.71, + 598.87 + ] + }, + { + "text": "(93.4)", + "bbox_points": [ + 465.11, + 590.86, + 485.85, + 598.87 + ] + } + ] + }, + { + "text": "Yes 43 (12.6) 32 (18.4) 11 (6.6)", + "bbox_points": [ + 72.0, + 604.86, + 477.01, + 612.87 + ], + "words": [ + { + "text": "Yes", + "bbox_points": [ + 72.0, + 604.86, + 84.89, + 612.87 + ] + }, + { + "text": "43", + "bbox_points": [ + 259.15, + 604.86, + 267.98, + 612.87 + ] + }, + { + "text": "(12.6)", + "bbox_points": [ + 270.37, + 604.86, + 291.11, + 612.87 + ] + }, + { + "text": "32", + "bbox_points": [ + 358.76, + 604.86, + 367.59, + 612.87 + ] + }, + { + "text": "(18.4)", + "bbox_points": [ + 369.92, + 604.86, + 390.66, + 612.87 + ] + }, + { + "text": "11", + "bbox_points": [ + 449.46, + 604.86, + 458.3, + 612.87 + ] + }, + { + "text": "(6.6)", + "bbox_points": [ + 460.69, + 604.86, + 477.01, + 612.87 + ] + } + ] + }, + { + "text": "IPV in past 3-months", + "bbox_points": [ + 64.01, + 616.98, + 143.49, + 624.98 + ], + "words": [ + { + "text": "IPV", + "bbox_points": [ + 64.01, + 616.98, + 78.5, + 624.98 + ] + }, + { + "text": "in", + "bbox_points": [ + 80.85, + 616.98, + 88.34, + 624.98 + ] + }, + { + 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a/Figures/Logie et al. - 2024 - Water and food insecurity and linkages with physical and sexual intimate partner violence among urba/table_01.txt b/Figures/Logie et al. - 2024 - Water and food insecurity and linkages with physical and sexual intimate partner violence among urba/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..e855e40adfb1cec5061acdd8a9d0fcecab0e5e19 --- /dev/null +++ b/Figures/Logie et al. - 2024 - Water and food insecurity and linkages with physical and sexual intimate partner violence among urba/table_01.txt @@ -0,0 +1 @@ +Socio-demographic characteristics among Kukaa Salama urban refugee youth participants in Kampala, Uganda (N ¼ 340) diff --git a/Figures/Logie et al. - 2024 - Water and food insecurity and linkages with physical and sexual intimate partner violence among urba/table_02.jpg b/Figures/Logie et al. - 2024 - Water and food insecurity and linkages with physical and sexual intimate partner violence among urba/table_02.jpg 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"3.09", + "bbox_points": [ + 265.78, + 265.89, + 281.02, + 273.91 + ] + }, + { + "text": "(0.84,11.39)", + "bbox_points": [ + 283.35, + 265.89, + 325.75, + 273.91 + ] + }, + { + "text": "5.08", + "bbox_points": [ + 368.05, + 265.89, + 383.3, + 273.91 + ] + }, + { + "text": "(1.11,23.22)*", + "bbox_points": [ + 385.62, + 265.89, + 432.04, + 273.91 + ] + }, + { + "text": "5.14", + "bbox_points": [ + 477.58, + 264.01, + 492.83, + 272.01 + ] + }, + { + "text": "(1.11,", + "bbox_points": [ + 495.15, + 264.01, + 514.98, + 272.01 + ] + }, + { + "text": "23.82)*", + "bbox_points": [ + 517.32, + 264.01, + 543.98, + 272.01 + ] + } + ] + }, + { + "text": "Concurrent water and food insecurity", + "bbox_points": [ + 43.43, + 279.89, + 178.3, + 287.91 + ], + "words": [ + { + "text": "Concurrent", + "bbox_points": [ + 43.43, + 279.89, + 84.34, + 287.91 + ] + }, + { + "text": "water", + "bbox_points": [ + 86.74, + 279.89, + 106.57, + 287.91 + ] + }, + { + "text": "and", + "bbox_points": [ + 108.79, + 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"Yes 5.65 (1.96,16.31)** 4.62 (1.43,14.94)* 4.55 (1.49,13.86)** 4.36 (1.25,15.28)*", + "bbox_points": [ + 51.42, + 347.97, + 541.52, + 357.87 + ], + "words": [ + { + "text": "Yes", + "bbox_points": [ + 51.42, + 349.85, + 64.3, + 357.87 + ] + }, + { + "text": "5.65", + "bbox_points": [ + 156.25, + 349.85, + 171.49, + 357.87 + ] + }, + { + "text": "(1.96,16.31)**", + "bbox_points": [ + 173.82, + 349.85, + 224.43, + 357.87 + ] + }, + { + "text": "4.62", + "bbox_points": [ + 265.78, + 347.97, + 281.02, + 355.97 + ] + }, + { + "text": "(1.43,14.94)*", + "bbox_points": [ + 283.35, + 347.97, + 329.72, + 355.97 + ] + }, + { + "text": "4.55", + "bbox_points": [ + 368.05, + 349.85, + 383.3, + 357.87 + ] + }, + { + "text": "(1.49,13.86)**", + "bbox_points": [ + 385.62, + 349.85, + 436.2, + 357.87 + ] + }, + { + "text": "4.36", + "bbox_points": [ + 477.58, + 347.97, + 492.83, + 355.97 + ] + }, + { + "text": "(1.25,15.28)*", + "bbox_points": [ + 495.15, + 347.97, + 541.52, + 355.97 + ] + } + ] + }, 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"Kampala,", + "bbox_points": [ + 189.35, + 484.95, + 222.49, + 492.95 + ] + }, + { + "text": "Uganda", + "bbox_points": [ + 225.13, + 484.95, + 252.35, + 492.95 + ] + }, + { + "text": "(N", + "bbox_points": [ + 254.95, + 484.9, + 262.68, + 492.95 + ] + }, + { + "text": "¼", + "bbox_points": [ + 264.24, + 484.9, + 270.4, + 492.9 + ] + }, + { + "text": "340)", + "bbox_points": [ + 271.95, + 484.95, + 287.36, + 492.95 + ] + } + ] + }, + { + "text": "Sexual IPV Physical IPV", + "bbox_points": [ + 100.46, + 507.51, + 336.2, + 513.52 + ], + "words": [ + { + "text": "Sexual", + "bbox_points": [ + 100.46, + 507.51, + 121.2, + 513.52 + ] + }, + { + "text": "IPV", + "bbox_points": [ + 123.14, + 507.51, + 133.19, + 513.52 + ] + }, + { + "text": "Physical", + "bbox_points": [ + 298.77, + 507.51, + 324.14, + 513.52 + ] + }, + { + "text": "IPV", + "bbox_points": [ + 326.15, + 507.51, + 336.2, + 513.52 + ] + } + ] + }, + { + "text": "Variable Adjusted model OR (95% CI) Adjusted model OR (95% CI)", + 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- Water and food insecurity and linkages with physical and sexual intimate partner violence among urba/table_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..46302e2660a0b1ef1d9cfc24878a7843fc410051 --- /dev/null +++ b/Figures/Logie et al. - 2024 - Water and food insecurity and linkages with physical and sexual intimate partner violence among urba/table_04.txt @@ -0,0 +1 @@ +Comparisons between an IoV and constituent parts in predicting recent sexual and physical IPV among Kukaa Salama urban diff --git a/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_01.jpg b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..15fbdce41f8b9b92d5324c4c42df1c838cec7d49 --- /dev/null +++ b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:82ac815eb4370ac8d44a76d2fb0a6a9fdbbe5e6679314ff47bb7a189db14ed19 +size 80144 diff --git a/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_01.txt b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8d074275a5156a53a39494484fa8142c5050b6a --- /dev/null +++ b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_01.txt @@ -0,0 +1 @@ +Schematic (a) and photographs (b) of the module housing and pressure vessel of the MF modules in a serial connection. diff --git a/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_02.jpg b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a5f34153a43ae3398ee4cce64f728b3124b7e258 --- /dev/null +++ b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4bdd18220d1fee56fa2150ac82c3081f361643ff1527072b654e040be12fea1c +size 66694 diff --git a/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_02.txt b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..8364269bca58950070b8582f0e7e41a488b2e177 --- /dev/null +++ b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_02.txt @@ -0,0 +1 @@ +Schematic diagram of MF- and NF-integrated pilot systems. MF-1 and MF-2 – MF modules; VS-01,02,03 and 04 – electrically activated valves; NF – nanofiltration module; FI – flow indicators. diff --git a/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_03.jpg b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..dca50a4eb551a3dfba177e6600c9ff696bbf7f6d --- /dev/null +++ b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:575de601502f521c43678b9b4ffd32ed597cbb2424b79907cbc0198797a1cbff +size 141175 diff --git a/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_03.txt b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..ccdc236e9e1b358e3236169f75948113a9461568 --- /dev/null +++ b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_03.txt @@ -0,0 +1 @@ +Absorbance spectra of the samples before and after UV/H2O2 experiments (a) and A254 removal after UV/H2O2 application (b). diff --git a/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_04.jpg b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..39821a4927a57989ac976ecaba0520cfe4bdc7e3 --- /dev/null +++ b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1e8a517e8cb7bae68e1f7360d01de39a240ff86754609a1ac3ecbe53fe8281d9 +size 30525 diff --git a/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_04.txt b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ff2e8d52091e2825049b8adf354344516c0ecc4 --- /dev/null +++ b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_04.txt @@ -0,0 +1 @@ +MFI of treated seawater after cartridge filtration and UV/H2O2 treatment for different H2O2 concentrations. diff --git a/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_05.jpg b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6bbd7a64174a018855c854b943631b6265314938 --- /dev/null +++ b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dec7b235fc53597fdedec9c0c7e152e249774b491cdea1be7a69ea6b8360f827 +size 74815 diff --git a/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_05.txt b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..f91d77d74f051f8c134e31abe8b387e420a92f24 --- /dev/null +++ b/Figures/Loreti Hupsel et al. - 2024 - Evaluation of pretreatment routes for seawater desalination by nanofiltration/figure_05.txt @@ -0,0 +1 @@ +Microfiltration permeate flux decay (a) and water recovery (b) of samples 1 and 2. Backwashing and filtration: 35 s/15 min. 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"concentration", + "bbox_points": [ + 64.8, + 597.15, + 108.23, + 603.15 + ] + }, + { + "text": "Parameter", + "bbox_points": [ + 163.95, + 597.15, + 196.06, + 603.15 + ] + }, + { + "text": "10", + "bbox_points": [ + 270.65, + 597.15, + 277.65, + 603.15 + ] + }, + { + "text": "30", + "bbox_points": [ + 349.0, + 597.15, + 356.0, + 603.15 + ] + }, + { + "text": "60", + "bbox_points": [ + 427.29, + 597.15, + 434.29, + 603.15 + ] + }, + { + "text": "120", + "bbox_points": [ + 505.64, + 597.15, + 516.14, + 603.15 + ] + } + ] + }, + { + "text": "56.1 mg L", + "bbox_points": [ + 43.43, + 611.78, + 78.92, + 619.79 + ], + "words": [ + { + "text": "56.1", + "bbox_points": [ + 43.43, + 611.78, + 58.67, + 619.79 + ] + }, + { + "text": "mg", + "bbox_points": [ + 60.66, + 611.78, + 71.66, + 619.79 + ] + }, + { + "text": "L", + "bbox_points": [ + 73.59, + 611.78, + 78.92, + 619.79 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 83.57, + 610.24, + 86.88, + 615.59 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 83.57, + 610.24, + 86.88, + 615.59 + ] + } + ] + }, + { + "text": "NTP OC (g L", + "bbox_points": [ + 89.23, + 611.78, + 193.21, + 619.79 + ], + "words": [ + { + "text": "NTP", + "bbox_points": [ + 89.23, + 611.78, + 105.98, + 619.79 + ] + }, + { + "text": "OC", + "bbox_points": [ + 163.96, + 611.78, + 176.44, + 619.79 + ] + }, + { + "text": "(g", + "bbox_points": [ + 178.81, + 611.78, + 185.93, + 619.79 + ] + }, + { + "text": "L", + "bbox_points": [ + 187.88, + 611.78, + 193.21, + 619.79 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 197.8, + 610.24, + 201.11, + 615.59 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 197.8, + 610.24, + 201.11, + 615.59 + ] + } + ] + }, + { + "text": "liquid) 8.08 × 10", + "bbox_points": [ + 203.53, + 611.5, + 302.56, + 619.79 + ], + "words": [ + { + "text": "liquid)", + "bbox_points": [ + 203.53, + 611.78, + 226.82, + 619.79 + ] + }, + { + "text": "8.08", + "bbox_points": [ + 270.65, + 611.78, + 285.9, + 619.79 + ] + }, + { + "text": "×", + "bbox_points": [ + 287.43, + 611.5, + 292.18, + 619.5 + ] + }, + { + "text": "10", + "bbox_points": [ + 293.73, + 611.78, + 302.56, + 619.79 + ] + } + ] + }, + { + "text": "3", + "bbox_points": [ + 307.16, + 610.24, + 310.47, + 615.59 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 307.16, + 610.24, + 310.47, + 615.59 + ] + } + ] + }, + { + "text": "1.18 × 10", + "bbox_points": [ + 349.0, + 611.5, + 380.91, + 619.79 + ], + "words": [ + { + "text": "1.18", + "bbox_points": [ + 349.0, + 611.78, + 364.25, + 619.79 + ] + }, + { + "text": "×", + "bbox_points": [ + 365.73, + 611.5, + 370.47, + 619.5 + ] + }, + { + "text": "10", + "bbox_points": [ + 372.08, + 611.78, + 380.91, + 619.79 + ] + } + ] + }, + { + "text": "2", + "bbox_points": [ + 385.51, + 610.24, + 388.82, + 615.59 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 385.51, + 610.24, + 388.82, + 615.59 + ] + } + ] + }, + { + "text": "1.67 × 10", + "bbox_points": [ + 427.29, + 611.5, + 459.2, + 619.79 + ], + "words": [ + { + "text": "1.67", + "bbox_points": [ + 427.29, + 611.78, + 442.54, + 619.79 + ] + }, + { + "text": "×", + "bbox_points": [ + 444.08, + 611.5, + 448.82, + 619.5 + ] + }, + { + "text": "10", + "bbox_points": [ + 450.37, + 611.78, + 459.2, + 619.79 + ] + } + ] + }, + { + "text": "2", + "bbox_points": [ + 463.8, + 610.24, + 467.12, + 615.59 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 463.8, + 610.24, + 467.12, + 615.59 + ] + } + ] + }, + { + "text": "3.31 × 10", + "bbox_points": [ + 505.64, + 611.5, + 537.55, + 619.79 + ], + "words": [ + { + "text": "3.31", + "bbox_points": [ + 505.64, + 611.78, + 520.89, + 619.79 + ] + }, + { + "text": "×", + "bbox_points": [ + 522.42, + 611.5, + 527.17, + 619.5 + ] + }, + { + "text": "10", + "bbox_points": [ + 528.72, + 611.78, + 537.55, + 619.79 + ] + } + ] + }, + { + "text": "2", + "bbox_points": [ + 542.15, + 610.24, + 545.47, + 615.59 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 542.15, + 610.24, + 545.47, + 615.59 + ] + } + ] + }, + { + "text": "O3 dose ¼ 3.37 g h", + "bbox_points": [ + 51.48, + 621.98, + 117.56, + 631.01 + ], + "words": [ + { + "text": "O3", + "bbox_points": [ + 51.48, + 622.26, + 61.48, + 631.01 + ] + }, + { + "text": "dose", + "bbox_points": [ + 63.89, + 622.26, + 80.37, + 630.28 + ] + }, + { + "text": "¼", + "bbox_points": [ + 81.92, + 621.98, + 88.08, + 629.98 + ] + }, + { + "text": "3.37", + "bbox_points": [ + 89.63, + 622.26, + 104.88, + 630.28 + ] + }, + { + "text": "g", + "bbox_points": [ + 106.81, + 622.26, + 110.81, + 630.28 + ] + }, + { + "text": "h", + "bbox_points": [ + 112.82, + 622.26, + 117.56, + 630.28 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 122.17, + 620.73, + 125.48, + 626.08 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 122.17, + 620.73, + 125.48, + 626.08 + ] + } + ] + }, + { + "text": "RB19 removal (%) 99 100 100 100", + "bbox_points": [ + 163.96, + 622.26, + 518.89, + 630.28 + ], + "words": [ + { + "text": "RB19", + "bbox_points": [ + 163.96, + 622.26, + 183.94, + 630.28 + ] + }, + { + "text": "removal", + "bbox_points": [ + 186.29, + 622.26, + 215.31, + 630.28 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 217.7, + 622.26, + 230.19, + 630.28 + ] + }, + { + "text": "99", + "bbox_points": [ + 270.65, + 622.26, + 279.48, + 630.28 + ] + }, + { + "text": "100", + "bbox_points": [ + 349.0, + 622.26, + 362.25, + 630.28 + ] + }, + { + "text": "100", + "bbox_points": [ + 427.29, + 622.26, + 440.54, + 630.28 + ] + }, + { + "text": "100", + "bbox_points": [ + 505.64, + 622.26, + 518.89, + 630.28 + ] + } + ] + }, + { + "text": "TOC depletion (%) 5 18 34 52", + "bbox_points": [ + 163.96, + 632.75, + 514.47, + 640.77 + ], + "words": [ + { + "text": "TOC", + "bbox_points": [ + 163.96, + 632.75, + 181.26, + 640.77 + ] + }, + { + "text": "depletion", + "bbox_points": [ + 183.63, + 632.75, + 217.33, + 640.77 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 219.68, + 632.75, + 232.17, + 640.77 + ] + }, + { + "text": "5", + "bbox_points": [ + 270.65, + 632.75, + 275.07, + 640.77 + ] + }, + { + "text": "18", + "bbox_points": [ + 349.0, + 632.75, + 357.83, + 640.77 + ] + }, + { + "text": "34", + "bbox_points": [ + 427.29, + 632.75, + 436.13, + 640.77 + ] + }, + { + "text": "52", + "bbox_points": [ + 505.64, + 632.75, + 514.47, + 640.77 + ] + } + ] + }, + { + "text": "71.1 mg L", + "bbox_points": [ + 43.43, + 646.76, + 78.92, + 654.77 + ], + "words": [ + { + "text": "71.1", + "bbox_points": [ + 43.43, + 646.76, + 58.67, + 654.77 + ] + }, + { + "text": "mg", + "bbox_points": [ + 60.66, + 646.76, + 71.66, + 654.77 + ] + }, + { + "text": "L", + "bbox_points": [ + 73.59, + 646.76, + 78.92, + 654.77 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 83.57, + 645.28, + 86.88, + 650.62 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 83.57, + 645.28, + 86.88, + 650.62 + ] + } + ] + }, + { + "text": "NTP OC (g L", + "bbox_points": [ + 89.23, + 646.76, + 193.21, + 654.77 + ], + "words": [ + { + "text": "NTP", + "bbox_points": [ + 89.23, + 646.76, + 105.98, + 654.77 + ] + }, + { + "text": "OC", + "bbox_points": [ + 163.96, + 646.76, + 176.44, + 654.77 + ] + }, + { + "text": "(g", + "bbox_points": [ + 178.81, + 646.76, + 185.93, + 654.77 + ] + }, + { + "text": "L", + "bbox_points": [ + 187.88, + 646.76, + 193.21, + 654.77 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 197.8, + 645.28, + 201.11, + 650.62 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 197.8, + 645.28, + 201.11, + 650.62 + ] + } + ] + }, + { + "text": "liquid) 4.67 × 10", + "bbox_points": [ + 203.53, + 646.48, + 302.56, + 654.77 + ], + "words": [ + { + "text": "liquid)", + "bbox_points": [ + 203.53, + 646.76, + 226.82, + 654.77 + ] + }, + { + "text": "4.67", + "bbox_points": [ + 270.65, + 646.76, + 285.9, + 654.77 + ] + }, + { + "text": "×", + "bbox_points": [ + 287.43, + 646.48, + 292.18, + 654.48 + ] + }, + { + "text": "10", + "bbox_points": [ + 293.73, + 646.76, + 302.56, + 654.77 + ] + } + ] + }, + { + "text": "3", + "bbox_points": [ + 307.16, + 645.28, + 310.47, + 650.62 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 307.16, + 645.28, + 310.47, + 650.62 + ] + } + ] + }, + { + "text": "9.69 × 10", + "bbox_points": [ + 349.0, + 646.48, + 380.91, + 654.77 + ], + "words": [ + { + "text": "9.69", + "bbox_points": [ + 349.0, + 646.76, + 364.25, + 654.77 + ] + }, + { + "text": "×", + "bbox_points": [ + 365.73, + 646.48, + 370.47, + 654.48 + ] + }, + { + "text": "10", + "bbox_points": [ + 372.08, + 646.76, + 380.91, + 654.77 + ] + } + ] + }, + { + "text": "3", + "bbox_points": [ + 385.51, + 645.28, + 388.82, + 650.62 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 385.51, + 645.28, + 388.82, + 650.62 + ] + } + ] + }, + { + "text": "1.70 × 10", + "bbox_points": [ + 427.29, + 646.48, + 459.2, + 654.77 + ], + "words": [ + { + "text": "1.70", + "bbox_points": [ + 427.29, + 646.76, + 442.54, + 654.77 + ] + }, + { + "text": "×", + "bbox_points": [ + 444.08, + 646.48, + 448.82, + 654.48 + ] + }, + { + "text": "10", + "bbox_points": [ + 450.37, + 646.76, + 459.2, + 654.77 + ] + } + ] + }, + { + "text": "2", + "bbox_points": [ + 463.8, + 645.28, + 467.12, + 650.62 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 463.8, + 645.28, + 467.12, + 650.62 + ] + } + ] + }, + { + "text": "3.29 × 10", + "bbox_points": [ + 505.64, + 646.48, + 537.55, + 654.77 + ], + "words": [ + { + "text": "3.29", + "bbox_points": [ + 505.64, + 646.76, + 520.89, + 654.77 + ] + }, + { + "text": "×", + "bbox_points": [ + 522.42, + 646.48, + 527.17, + 654.48 + ] + }, + { + "text": "10", + "bbox_points": [ + 528.72, + 646.76, + 537.55, + 654.77 + ] + } + ] + }, + { + "text": "2", + "bbox_points": [ + 542.15, + 645.28, + 545.47, + 650.62 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 542.15, + 645.28, + 545.47, + 650.62 + ] + } + ] + }, + { + "text": "O3 dose ¼ 4.27 g h", + "bbox_points": [ + 51.48, + 657.02, + 117.56, + 665.99 + ], + "words": [ + { + "text": "O3", + "bbox_points": [ + 51.48, + 657.3, + 61.48, + 665.99 + ] + }, + { + "text": "dose", + "bbox_points": [ + 63.89, + 657.3, + 80.37, + 665.32 + ] + }, + { + "text": "¼", + "bbox_points": [ + 81.92, + 657.02, + 88.08, + 665.02 + ] + }, + { + "text": "4.27", + "bbox_points": [ + 89.63, + 657.3, + 104.88, + 665.32 + ] + }, + { + "text": "g", + "bbox_points": [ + 106.81, + 657.3, + 110.81, + 665.32 + ] + }, + { + "text": "h", + "bbox_points": [ + 112.82, + 657.3, + 117.56, + 665.32 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 122.17, + 655.77, + 125.48, + 661.11 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 122.17, + 655.77, + 125.48, + 661.11 + ] + } + ] + }, + { + "text": "RB19 removal (%) 100 100 100 100", + "bbox_points": [ + 163.96, + 657.3, + 518.89, + 665.32 + ], + "words": [ + { + "text": "RB19", + "bbox_points": [ + 163.96, + 657.3, + 183.94, + 665.32 + ] + }, + { + "text": "removal", + "bbox_points": [ + 186.29, + 657.3, + 215.31, + 665.32 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 217.7, + 657.3, + 230.19, + 665.32 + ] + }, + { + "text": "100", + "bbox_points": [ + 270.65, + 657.3, + 283.9, + 665.32 + ] + }, + { + "text": "100", + "bbox_points": [ + 349.0, + 657.3, + 362.25, + 665.32 + ] + }, + { + "text": "100", + "bbox_points": [ + 427.29, + 657.3, + 440.54, + 665.32 + ] + }, + { + "text": "100", + "bbox_points": [ + 505.64, + 657.3, + 518.89, + 665.32 + ] + } + ] + }, + { + "text": "TOC depletion (%) 5 27 39 66", + "bbox_points": [ + 163.96, + 667.79, + 514.47, + 675.8 + ], + "words": [ + { + "text": "TOC", + "bbox_points": [ + 163.96, + 667.79, + 181.26, + 675.8 + ] + }, + { + "text": "depletion", + "bbox_points": [ + 183.63, + 667.79, + 217.33, + 675.8 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 219.68, + 667.79, + 232.17, + 675.8 + ] + }, + { + "text": "5", + "bbox_points": [ + 270.65, + 667.79, + 275.07, + 675.8 + ] + }, + { + "text": "27", + "bbox_points": [ + 349.0, + 667.79, + 357.83, + 675.8 + ] + }, + { + "text": "39", + "bbox_points": [ + 427.29, + 667.79, + 436.13, + 675.8 + ] + }, + { + "text": "66", + "bbox_points": [ + 505.64, + 667.79, + 514.47, + 675.8 + ] + } + ] + }, + { + "text": "99.1 mg L", + "bbox_points": [ + 43.43, + 681.79, + 78.92, + 689.81 + ], + "words": [ + { + "text": "99.1", + "bbox_points": [ + 43.43, + 681.79, + 58.67, + 689.81 + ] + }, + { + "text": "mg", + "bbox_points": [ + 60.66, + 681.79, + 71.66, + 689.81 + ] + }, + { + "text": "L", + "bbox_points": [ + 73.59, + 681.79, + 78.92, + 689.81 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 83.57, + 680.26, + 86.88, + 685.6 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 83.57, + 680.26, + 86.88, + 685.6 + ] + } + ] + }, + { + "text": "NTP OC (g L", + "bbox_points": [ + 89.23, + 681.79, + 193.21, + 689.81 + ], + "words": [ + { + "text": "NTP", + "bbox_points": [ + 89.23, + 681.79, + 105.98, + 689.81 + ] + }, + { + "text": "OC", + "bbox_points": [ + 163.96, + 681.79, + 176.44, + 689.81 + ] + }, + { + "text": "(g", + "bbox_points": [ + 178.81, + 681.79, + 185.93, + 689.81 + ] + }, + { + "text": "L", + "bbox_points": [ + 187.88, + 681.79, + 193.21, + 689.81 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 197.8, + 680.26, + 201.11, + 685.6 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 197.8, + 680.26, + 201.11, + 685.6 + ] + } + ] + }, + { + "text": "liquid) 5.51 × 10", + "bbox_points": [ + 203.53, + 681.51, + 302.56, + 689.81 + ], + "words": [ + { + "text": "liquid)", + "bbox_points": [ + 203.53, + 681.79, + 226.82, + 689.81 + ] + }, + { + "text": "5.51", + "bbox_points": [ + 270.65, + 681.79, + 285.9, + 689.81 + ] + }, + { + "text": "×", + "bbox_points": [ + 287.43, + 681.51, + 292.18, + 689.51 + ] + }, + { + "text": "10", + "bbox_points": [ + 293.73, + 681.79, + 302.56, + 689.81 + ] + } + ] + }, + { + "text": "3", + "bbox_points": [ + 307.16, + 680.26, + 310.47, + 685.6 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 307.16, + 680.26, + 310.47, + 685.6 + ] + } + ] + }, + { + "text": "1.34 × 10", + "bbox_points": [ + 349.0, + 681.51, + 380.91, + 689.81 + ], + "words": [ + { + "text": "1.34", + "bbox_points": [ + 349.0, + 681.79, + 364.25, + 689.81 + ] + }, + { + "text": "×", + "bbox_points": [ + 365.73, + 681.51, + 370.47, + 689.51 + ] + }, + { + "text": "10", + "bbox_points": [ + 372.08, + 681.79, + 380.91, + 689.81 + ] + } + ] + }, + { + "text": "2", + "bbox_points": [ + 385.51, + 680.26, + 388.82, + 685.6 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 385.51, + 680.26, + 388.82, + 685.6 + ] + } + ] + }, + { + "text": "2.23 × 10", + "bbox_points": [ + 427.29, + 681.51, + 459.2, + 689.81 + ], + "words": [ + { + "text": "2.23", + "bbox_points": [ + 427.29, + 681.79, + 442.54, + 689.81 + ] + }, + { + "text": "×", + "bbox_points": [ + 444.08, + 681.51, + 448.82, + 689.51 + ] + }, + { + "text": "10", + "bbox_points": [ + 450.37, + 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leakage/figure_03.txt @@ -0,0 +1 @@ +The 60 cm long flexible curve ruler being positioned. 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The COD removal efficiency is more than 80%.", + "bbox_points": [ + 80.84, + 402.18, + 298.59, + 411.51 + ], + "words": [ + { + "text": "60", + "bbox_points": [ + 80.84, + 402.49, + 90.78, + 411.51 + ] + }, + { + "text": "h.", + "bbox_points": [ + 93.03, + 402.49, + 100.62, + 411.51 + ] + }, + { + "text": "The", + "bbox_points": [ + 103.63, + 402.49, + 119.1, + 411.51 + ] + }, + { + "text": "COD", + "bbox_points": [ + 122.06, + 402.49, + 143.51, + 411.51 + ] + }, + { + "text": "removal", + "bbox_points": [ + 146.44, + 402.49, + 179.38, + 411.51 + ] + }, + { + "text": "efficiency", + "bbox_points": [ + 182.33, + 402.18, + 220.92, + 411.51 + ] + }, + { + "text": "is", + "bbox_points": [ + 223.88, + 402.49, + 230.24, + 411.51 + ] + }, + { + "text": "more", + "bbox_points": [ + 233.29, + 402.49, + 254.37, + 411.51 + ] + }, + { + "text": "than", + "bbox_points": [ + 257.27, + 402.49, + 275.52, + 411.51 + ] + }, + { + "text": "80%.", + "bbox_points": [ + 278.53, + 402.49, + 298.59, + 411.51 + ] + } + ] + }, + { + "text": "(6) Air flotation is mainly used to separate and remove fine suspended particles with a density close to that of", + "bbox_points": [ + 70.86, + 415.16, + 524.38, + 424.5 + ], + "words": [ + { + "text": "(6)", + "bbox_points": [ + 70.86, + 415.48, + 82.01, + 424.5 + ] + }, + { + "text": "Air", + "bbox_points": [ + 85.21, + 415.48, + 98.13, + 424.5 + ] + }, + { + "text": "flotation", + "bbox_points": [ + 101.31, + 415.16, + 135.37, + 424.5 + ] + }, + { + "text": "is", + "bbox_points": [ + 138.5, + 415.48, + 144.86, + 424.5 + ] + }, + { + "text": "mainly", + "bbox_points": [ + 148.08, + 415.48, + 175.71, + 424.5 + ] + }, + { + "text": "used", + "bbox_points": [ + 178.87, + 415.48, + 197.41, + 424.5 + ] + }, + { + "text": "to", + "bbox_points": [ + 200.64, + 415.48, + 208.68, + 424.5 + ] + }, + { + "text": "separate", + "bbox_points": [ + 211.86, + 415.48, + 245.4, + 424.5 + ] + }, + { + "text": "and", + "bbox_points": [ + 248.6, + 415.48, + 263.77, + 424.5 + ] + }, + { + "text": "remove", + "bbox_points": [ + 266.97, + 415.48, + 296.93, + 424.5 + ] + }, + { + "text": "fine", + "bbox_points": [ + 300.13, + 415.16, + 315.3, + 424.5 + ] + }, + { + "text": "suspended", + "bbox_points": [ + 318.44, + 415.48, + 360.86, + 424.5 + ] + }, + { + "text": "particles", + "bbox_points": [ + 364.08, + 415.48, + 398.34, + 424.5 + ] + }, + { + "text": "with", + "bbox_points": [ + 401.56, + 415.48, + 419.53, + 424.5 + ] + }, + { + "text": "a", + "bbox_points": [ + 422.76, + 415.48, + 427.44, + 424.5 + ] + }, + { + "text": "density", + "bbox_points": [ + 430.58, + 415.48, + 459.33, + 424.5 + ] + }, + { + "text": "close", + "bbox_points": [ + 462.56, + 415.48, + 483.07, + 424.5 + ] + }, + { + "text": "to", + "bbox_points": [ + 486.26, + 415.48, + 494.3, + 424.5 + ] + }, + { + "text": "that", + "bbox_points": [ + 497.48, + 415.48, + 513.3, + 424.5 + ] + }, + { + "text": "of", + "bbox_points": [ + 516.42, + 415.48, + 524.38, + 424.5 + ] + } + ] + }, + { + "text": "water from the production wastewater. The air flotation tank is fabricated using a steel structure with a hydrau-", + "bbox_points": [ + 80.84, + 428.2, + 524.39, + 437.53 + ], + "words": [ + { + "text": "water", + "bbox_points": [ + 80.84, + 428.52, + 103.42, + 437.53 + ] + }, + { + "text": "from", + "bbox_points": [ + 105.73, + 428.52, + 124.99, + 437.53 + ] + }, + { + "text": "the", + "bbox_points": [ + 127.27, + 428.52, + 140.01, + 437.53 + ] + }, + { + "text": "production", + "bbox_points": [ + 142.3, + 428.52, + 186.84, + 437.53 + ] + }, + { + "text": "wastewater.", + "bbox_points": [ + 189.13, + 428.52, + 236.62, + 437.53 + ] + }, + { + "text": "The", + "bbox_points": [ + 238.9, + 428.52, + 254.37, + 437.53 + ] + }, + { + "text": "air", + "bbox_points": [ + 256.65, + 428.52, + 267.5, + 437.53 + ] + }, + { + "text": "flotation", + "bbox_points": [ + 269.8, + 428.2, + 303.77, + 437.53 + ] + }, + { + "text": "tank", + "bbox_points": [ + 306.03, + 428.52, + 324.09, + 437.53 + ] + }, + { + "text": "is", + "bbox_points": [ + 326.38, + 428.52, + 332.74, + 437.53 + ] + }, + { + "text": "fabricated", + "bbox_points": [ + 335.05, + 428.52, + 375.32, + 437.53 + ] + }, + { + "text": "using", + "bbox_points": [ + 377.57, + 428.52, + 398.92, + 437.53 + ] + }, + { + "text": "a", + "bbox_points": [ + 401.22, + 428.52, + 405.9, + 437.53 + ] + }, + { + "text": "steel", + "bbox_points": [ + 408.19, + 428.52, + 426.33, + 437.53 + ] + }, + { + "text": "structure", + "bbox_points": [ + 428.6, + 428.52, + 464.39, + 437.53 + ] + }, + { + "text": "with", + "bbox_points": [ + 466.58, + 428.52, + 484.56, + 437.53 + ] + }, + { + "text": "a", + "bbox_points": [ + 486.82, + 428.52, + 491.5, + 437.53 + ] + }, + { + "text": "hydrau-", + "bbox_points": [ + 493.8, + 428.52, + 524.39, + 437.53 + ] + } + ] + }, + { + "text": "lic retention time of 0.5 h.", + "bbox_points": [ + 80.84, + 441.5, + 187.19, + 450.52 + ], + "words": [ + { + "text": "lic", + "bbox_points": [ + 80.84, + 441.5, + 90.58, + 450.52 + ] + }, + { + "text": "retention", + "bbox_points": [ + 93.6, + 441.5, + 130.29, + 450.52 + ] + }, + { + "text": "time", + "bbox_points": [ + 133.34, + 441.5, + 151.23, + 450.52 + ] + }, + { + "text": "of", + "bbox_points": [ + 154.2, + 441.5, + 162.16, + 450.52 + ] + }, + { + "text": "0.5", + "bbox_points": [ + 165.2, + 441.5, + 177.39, + 450.52 + ] + }, + { + "text": "h.", + "bbox_points": [ + 179.6, + 441.5, + 187.19, + 450.52 + ] + } + ] + }, + { + "text": "(7) In a biological contact oxidation reactor, natural biota undergoes a contact oxidation reaction with the waste-", + "bbox_points": [ + 70.86, + 454.48, + 524.41, + 463.5 + ], + "words": [ + { + "text": "(7)", + "bbox_points": [ + 70.86, + 454.48, + 82.01, + 463.5 + ] + }, + { + "text": "In", + "bbox_points": [ + 84.41, + 454.48, + 93.31, + 463.5 + ] + }, + { + "text": "a", + "bbox_points": [ + 95.7, + 454.48, + 100.38, + 463.5 + ] + }, + { + "text": "biological", + "bbox_points": [ + 102.78, + 454.48, + 142.2, + 463.5 + ] + }, + { + "text": "contact", + "bbox_points": [ + 144.57, + 454.48, + 174.53, + 463.5 + ] + }, + { + "text": "oxidation", + "bbox_points": [ + 176.83, + 454.48, + 215.05, + 463.5 + ] + }, + { + "text": "reactor,", + "bbox_points": [ + 217.48, + 454.48, + 248.34, + 463.5 + ] + }, + { + "text": "natural", + "bbox_points": [ + 250.76, + 454.48, + 279.57, + 463.5 + ] + }, + { + "text": "biota", + "bbox_points": [ + 281.88, + 454.48, + 302.19, + 463.5 + ] + }, + { + "text": "undergoes", + "bbox_points": [ + 304.62, + 454.48, + 346.2, + 463.5 + ] + }, + { + "text": "a", + "bbox_points": [ + 348.61, + 454.48, + 353.29, + 463.5 + ] + }, + { + "text": "contact", + "bbox_points": [ + 355.58, + 454.48, + 385.43, + 463.5 + ] + }, + { + "text": "oxidation", + "bbox_points": [ + 387.84, + 454.48, + 426.05, + 463.5 + ] + }, + { + "text": "reaction", + "bbox_points": [ + 428.44, + 454.48, + 461.53, + 463.5 + ] + }, + { + "text": "with", + "bbox_points": [ + 463.93, + 454.48, + 481.9, + 463.5 + ] + }, + { + "text": "the", + "bbox_points": [ + 484.28, + 454.48, + 497.02, + 463.5 + ] + }, + { + "text": "waste-", + "bbox_points": [ + 499.31, + 454.48, + 524.41, + 463.5 + ] + } + ] + }, + { + "text": "water to degrade the organic matter. The contact oxidation reaction mainly refers to the elimination and", + "bbox_points": [ + 80.84, + 467.52, + 524.39, + 476.54 + ], + "words": [ + { + "text": "water", + "bbox_points": [ + 80.84, + 467.52, + 103.42, + 476.54 + ] + }, + { + "text": "to", + "bbox_points": [ + 107.49, + 467.52, + 115.53, + 476.54 + ] + }, + { + "text": "degrade", + "bbox_points": [ + 119.56, + 467.52, + 151.47, + 476.54 + ] + }, + { + "text": "the", + "bbox_points": [ + 155.51, + 467.52, + 168.24, + 476.54 + ] + }, + { + "text": "organic", + "bbox_points": [ + 172.29, + 467.52, + 202.63, + 476.54 + ] + }, + { + "text": "matter.", + "bbox_points": [ + 206.65, + 467.52, + 235.3, + 476.54 + ] + }, + { + "text": "The", + "bbox_points": [ + 239.25, + 467.52, + 254.71, + 476.54 + ] + }, + { + "text": "contact", + "bbox_points": [ + 258.75, + 467.52, + 288.71, + 476.54 + ] + }, + { + "text": "oxidation", + "bbox_points": [ + 292.65, + 467.52, + 330.86, + 476.54 + ] + }, + { + "text": "reaction", + "bbox_points": 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a/Figures/Lu - 2024 - An example of a wastewater treatment project for high concentrations of benzene, xylene, acetophenon/table_07.txt b/Figures/Lu - 2024 - An example of a wastewater treatment project for high concentrations of benzene, xylene, acetophenon/table_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..efc2ded29a991bdb9564cbabb5ababc5936fb082 --- /dev/null +++ b/Figures/Lu - 2024 - An example of a wastewater treatment project for high concentrations of benzene, xylene, acetophenon/table_07.txt @@ -0,0 +1 @@ +Operating costs diff --git a/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_01.jpg b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ecd3e99965df9078019d3b5e0154213034a36631 --- /dev/null +++ b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:812caead3be558cc8d92ae5b5cfa46a180a7fa3ed5be07082d5c49d633841142 +size 144694 diff --git a/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_01.txt b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e0ead19cb6126208561dacd595b0c7f4c0e1796 --- /dev/null +++ b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_01.txt @@ -0,0 +1 @@ +SEM images of the BC samples, PE, and PS. diff --git a/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_02.jpg b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..55f7a2a88b56ba81c8efd4febb5c874919fcf726 --- /dev/null +++ b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7e00e271dfb98918563c8879dfee8e1b0a2894df2386c404922910eff5ea1aa0 +size 49264 diff --git a/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_02.txt b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..6da2884b06fa0f3941b30955964a0380622d21b2 --- /dev/null +++ b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_02.txt @@ -0,0 +1 @@ +FTIR spectra of the BC samples, PE, and PS. diff --git a/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_03.jpg b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..da02f7163eaaecca8b228892713406925d06404a --- /dev/null +++ b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:592c09120b4452b233d7900a3e5c1f4104c73e2c72164f9b32c655de2c4c7435 +size 168873 diff --git a/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_03.txt b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..738563dbe0c2ee3f32fc252dcdc3ca8979828883 --- /dev/null +++ b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_03.txt @@ -0,0 +1 @@ +Sorption kinetics of TCE onto adsorbents. Sorption kinetics of TCE on BC as fitted by (a) pseudo-first-order, (c) pseudo-second- order, (e) Elovich, and (g) intraparticle diffusion models, and on the mixed adsorbents of BC þ PE/PS as fitted by (b) pseudo-first-order, (d) pseudo-second-order, (f) Elovich, and (h) intraparticle diffusion models. diff --git a/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_04.jpg b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6d985aee922debe0eb5112337b438f38b746d11d --- /dev/null +++ b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9eace3216b8cc433f7d7ee58326251ca4ca2b860a6c27980108d9f628ab1fd5e +size 183346 diff --git a/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_04.txt b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..ed74667ab97f3264ad64caa958248df78b7388d3 --- /dev/null +++ b/Figures/Lu - 2024 - Microplastic inhibits the sorption of trichloroethylene on modified biochar/figure_04.txt @@ -0,0 +1 @@ +Sorption isotherms of TCE onto adsorbents. Sorption isotherms of TCE on BC as fitted by the (a) Langmuir (solid curves) and Freundlich (dashed–dotted curves), (c) Sips, and (e) D–R models. 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acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_01.jpg" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..e20d648b4cec541b2cca11c5a9d8b7e25f185622 --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6f0a0c04c05c3afea6e138ad3e12bdfea9b71e742b52a705d7abdc3c7bd9511b +size 44254 diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_01.txt" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column 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https://git-lfs.github.com/spec/v1 +oid sha256:aa88a97c8ebfda1c6869aa6411183a9c103149ce987b386f799bc2d1f76f56fe +size 81404 diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_02.txt" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..f1e8d77f9ea38284e9033db1e2eb0f2c93529741 --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_02.txt" @@ -0,0 +1 @@ +The Cd(II) concentration and pH value of effluent from the column packed with RM–L at different initial concentrations. (a) Cd(II) concentration and (b) pH value. diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_03.jpg" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..c3e5687c0f91060a396842b9a468f8cb15595884 --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:41a7b218cab184c176dbef77affd1e7c34a7f418138a343d10d8f9f9c9965743 +size 84618 diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_03.txt" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..db5264b5fb36c2d77fa5739aba034ee854dce011 --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_03.txt" @@ -0,0 +1 @@ +The Cd(II) concentration and pH value of effluent from the column packed with RM–L at different flow rates. (a) Cd(II) concentration and (b) pH value. diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_04.jpg" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..261cca7406fe69702d584eba8c65394dd4beb68b --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:86ac54e112431dc1fab9ad01f30d8cb3c5d5fd7f34a27a0ce4442c198992afbb +size 92029 diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_04.txt" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..6e0e3bf78e2995bd7221fc96c63cf29607d2a3e2 --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_04.txt" @@ -0,0 +1 @@ +The Cd(II) concentration and pH value of effluent from the column packed with RM–L at different packing heights. (a) Cd(II) con- centration and (b) pH value. diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_05.jpg" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..78eca143174a3a2695db49745887ba7d9e1f9a6f --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:23a6ed1c8a5e09916145e5bc9a61e77c187a1b500ccaf2a658c1c25dcc8992f1 +size 35009 diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_05.txt" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..f2faf54e6b4a5d203f2441d8540fadab4ae6bda6 --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_05.txt" @@ -0,0 +1 @@ +Speciation of Cd on RM–L after acidic wastewater purification. diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_06.jpg" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..005063dd4a6ebfe4bcf8bffd6b8bff86c9b6cf7e --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:38b28a5118c05b711877b043f8111703a492280922fbb905e109550e1da69116 +size 181609 diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_06.txt" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..3aa21fce9fe93893821b15d3b4510e30e102a5a6 --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/figure_06.txt" @@ -0,0 +1 @@ +SEM images of RM–L under different operational conditions. (a-1) H2O  1,000, (a-2) H2O  5,000, (b-1) C100-Cd(II)  1,000, (b-2) C100-Cd(II)  5,000, (c-1) C300-Cd(II)  1,000, (c-2) C300-Cd(II)  5,000, (d-1) Q3-Cd(II)  1,000, and (d-2) Q3-Cd(II)  5,000. diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/graphic_abstract.jpg" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/graphic_abstract.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..6261c6dd1fea1302c9dee2715dddce34bae86f18 --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/graphic_abstract.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:78a06ed8d372796c877bab7f2a793167f0ad9517418f3a0e4db102b0746240c9 +size 180815 diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/manifest.json" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/manifest.json" new file mode 100644 index 0000000000000000000000000000000000000000..7b09ae859c20a6d459e8f7c4e10a6a12611a6a15 --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/manifest.json" @@ -0,0 +1,346 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud–loess mixture Column test, brea.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 12, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 58.01, + 84.99, + 532.11, + 482.79 + ], + "caption_bbox_points": [ + 64.01, + 79.48, + 151.73, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 180815, + "jpeg_quality": 77, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_01", + "page": 4, + "caption": "Contents of pollutants and leaching toxicity in red mud", + "image": "table_01.jpg", + "caption_file": "table_01.txt", + "figure_bbox_points": [ + 61.01, + 471.46, + 569.02, + 715.28 + ], + "caption_bbox_points": [ + 64.01, + 463.24, + 301.74, + 471.46 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 41542, + "jpeg_quality": 88, + "data_file": "table_01.json", + "structure_extracted": false, + "row_count": 21, + "column_count": null + }, + { + "kind": "table", + "label": "table_02", + "page": 5, + "caption": "Operational conditions for the column tests", + "image": "table_02.jpg", + "caption_file": "table_02.txt", + "figure_bbox_points": [ + 40.43, + 585.47, + 548.44, + 724.3 + ], + "caption_bbox_points": [ + 43.43, + 577.25, + 238.96, + 585.47 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 41231, + "jpeg_quality": 88, + "data_file": "table_02.json", + "structure_extracted": false, + "row_count": 10, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 6, + "caption": "A typical breakthrough curve.", + "image": "figure_01.jpg", + "caption_file": "figure_01.txt", + "figure_bbox_points": [ + 174.0, + 77.28, + 455.97, + 316.51 + ], + "caption_bbox_points": [ + 64.01, + 318.05, + 211.52, + 326.22 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 44254, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_02", + "page": 8, + "caption": "The Cd(II) concentration and pH value of effluent from the column packed with RM–L at different initial concentrations. 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(a) Cd(II) con- centration and (b) pH value.", + "image": "figure_04.jpg", + "caption_file": "figure_04.txt", + "figure_bbox_points": [ + 79.44, + 520.39, + 550.58, + 700.83 + ], + "caption_bbox_points": [ + 64.01, + 702.31, + 566.01, + 720.52 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 92029, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_03", + "page": 11, + "caption": "BDST model parameters for Cd(II) adsorption on RM–L under different operational conditions", + "image": "table_03.jpg", + "caption_file": "table_03.txt", + "figure_bbox_points": [ + 40.43, + 585.47, + 548.44, + 724.3 + ], + "caption_bbox_points": [ + 43.43, + 577.25, + 416.63, + 585.47 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 37159, + "jpeg_quality": 88, + "data_file": "table_03.json", + "structure_extracted": false, + "row_count": 10, + "column_count": null + }, + { + "kind": "table", + "label": "table_04", + "page": 12, + "caption": "Parameters of breakthrough curves for Cd(II) adsorption on RM–L in columns under different operational conditions", + "image": "table_04.jpg", + "caption_file": "table_04.txt", + "figure_bbox_points": [ + 61.01, + 564.44, + 569.02, + 724.3 + ], + "caption_bbox_points": [ + 64.01, + 556.27, + 519.96, + 564.44 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 61708, + "jpeg_quality": 88, + "data_file": "table_04.json", + "structure_extracted": false, + "row_count": 10, + "column_count": null + }, + { + "kind": "table", + "label": "table_05", + "page": 13, + "caption": "Calculated thicknesses and longevities of the PRB with RM–L under different operational conditions", + "image": "table_05.jpg", + "caption_file": "table_05.txt", + "figure_bbox_points": [ + 40.43, + 561.44, + 548.44, + 724.3 + ], + "caption_bbox_points": [ + 43.43, + 553.27, + 441.84, + 561.44 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 55979, + "jpeg_quality": 88, + "data_file": "table_05.json", + "structure_extracted": false, + "row_count": 12, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_05", + "page": 14, + "caption": "Speciation of Cd on RM–L after acidic wastewater purification.", + "image": "figure_05.jpg", + "caption_file": "figure_05.txt", + "figure_bbox_points": [ + 203.99, + 526.69, + 426.09, + 712.28 + ], + "caption_bbox_points": [ + 64.01, + 713.76, + 330.36, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 35009, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_06", + "page": 16, + "caption": "SEM images of RM–L under different operational conditions. (a-1) H2O \u0003 1,000, (a-2) H2O \u0003 5,000, (b-1) C100-Cd(II) \u0003 1,000, (b-2) C100-Cd(II) \u0003 5,000, (c-1) C300-Cd(II) \u0003 1,000, (c-2) C300-Cd(II) \u0003 5,000, (d-1) Q3-Cd(II) \u0003 1,000, and (d-2) Q3-Cd(II) \u0003 5,000.", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 141.35, + 77.28, + 488.74, + 688.19 + ], + "caption_bbox_points": [ + 64.01, + 689.67, + 566.01, + 707.87 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 181609, + "jpeg_quality": 64, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of file diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/table_01.jpg" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture 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] + } + ] + } + ], + "detection_error": null +} diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/table_01.txt" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/table_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..84b297cbb305f804f7f554409b3a2ffc9caebdfc --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/table_01.txt" @@ -0,0 +1 @@ +Contents of pollutants and leaching toxicity in red mud diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/table_02.jpg" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red 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mud\342\200\223loess mixture Column test, brea/table_03.txt" @@ -0,0 +1 @@ +BDST model parameters for Cd(II) adsorption on RM–L under different operational conditions diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/table_04.jpg" "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/table_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..9c8026705c4436a1dd299d63c029fd2777e955d8 --- /dev/null +++ "b/Figures/Lu et al. - 2024 - Purification of acidic wastewater containing Cd(II) using a red mud\342\200\223loess mixture Column test, brea/table_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1fdc4a5af1a3809d87aa384a8d02c7fe9f33ee69007b1928e10e535a68fc06f5 +size 61708 diff --git "a/Figures/Lu et al. - 2024 - Purification of acidic wastewater 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longevities of the PRB with RM–L under different operational conditions diff --git a/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_01.jpg b/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3f017f988408866b7cea8d6eeac3511b684cb8c4 --- /dev/null +++ b/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:260d9bae7b277c7a2ec971bae6aab5af5ea830fb4bfc4ff3a68a35ecc1260eb6 +size 86641 diff --git a/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_01.txt b/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..04cdd11bc04c7b753c26fa1ff042ae9af1e5d38e --- /dev/null +++ b/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_01.txt @@ -0,0 +1 @@ +Number of papers for sludge anaerobic per year. diff --git a/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_02.jpg b/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..45a018e670f24c889ff91cd8480d14dc90e2df9a --- /dev/null +++ b/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f9bbfb4eded4c97ac4f1f81fb287cc4bb5ed56313b7a27e2b9c081ab235570b7 +size 150378 diff --git a/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_02.txt b/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..decc7ce13fb0c139489e00695bf7f160b8aca499 --- /dev/null +++ b/Figures/Lu et al. - 2024 - Research progress and perspective on sludge anaerobic digestion technology A bibliometric analysis/figure_02.txt @@ -0,0 +1 @@ +A landscape view of the co-citation network, generated by the top 100 per slice between 1985 and 2022 (Link Retaining Factor (LRF)¼3, Look Back Years (LBY)¼5 and e ¼ 1.0). The colored curves represent co-citation links added in the year of the corresponding color. 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membrane us/figure_03.jpg b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5e14f61794f9808104f7e844ad478b5f6771c6b2 --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:17765d9666d00b595df43825453d88e23abab588a4a202f4eeb42fb71fa98742 +size 12820 diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_03.txt b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..5dd9ffc88bef38e76020ab5c4335c1ef85a40550 --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_03.txt @@ -0,0 +1 @@ +Water CAs of (a) PVDF-PA membrane, (b) PVDF-POMs#1 membrane, and (c) PVDF-POMs#2 membrane. diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_04.jpg b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b6872c90b6659454e70b171b79c5b51e88a98d4d --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:34ad88658c3364eff207ee5dd8af1c3ae34e1d95628a4b84775ee222fc2a3387 +size 52476 diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_04.txt b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..b74796f8d989906e1c660ca6c0f3623e33b2e220 --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_04.txt @@ -0,0 +1 @@ +Chemical composition analysis of the membranes. (a) EDX spectrum of PVDF-POMs#2 membrane. (b) FTIR spectra of PVDF membrane, PVDF-PA membrane, and PVDF-POMs#2 membrane. diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_05.jpg b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b4b74a5d075990753a59e17947dff33d770b338b --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ec4f423a68367cf20cea3327c54577dddb3fb3ce79bb093be615916e51e9a5d8 +size 48839 diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_05.txt b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..acebe8e8b8c1aa4d6bf0bc1e76759315e6e10049 --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_05.txt @@ -0,0 +1 @@ +Illustration of the reaction mechanism for POMs modification. diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_06.jpg b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8c14c163a5f2b64074f66648c7776d8c5ecf75c9 --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7120b0540bda4fe22c19c1a1d003f29125fb252b4c97c9a43d3d99ee54e71af4 +size 34256 diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_06.txt b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..fdddbc40dcf252b6be092c91a146078cbe89b716 --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_06.txt @@ -0,0 +1 @@ +Water flux and salt rejection of the PVDF-PA membrane, PVDF-POMs#1 membrane, and PVDF-POMs#2 membrane. diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_07.jpg b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5f5725869cd42a380a22b36c7b3224e034f1f9a5 --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9fe8366aa81c1899118bbe5fb0c100a0bedf3ca70d486b949e4313ad8adcc363 +size 59951 diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_07.txt b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..9baa428214e615f3683ade58ebfe2e32e34063ee --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_07.txt @@ -0,0 +1 @@ +Fouling propensity of the PVDF membrane, PVDF-PA membrane, and PVDF-POMs#2 membrane: (a) permeate flux of the membranes at different time intervals; (b) summary of the corresponding antifouling parameters of the membranes. diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_08.jpg b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1b7b90daf347d45aa11acdfe3d08f9046c7e2b0d --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d99f562d0d66ec006e7af08d16a3006b2bae5e3a2c21c2ffa4c55eb2ec9c2595 +size 132079 diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_08.txt b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..8759b8412eed13b8d8b8a382a286cb5a21cee2cf --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/figure_08.txt @@ -0,0 +1 @@ +Nyquist plots and Bode plots (impedance magnitude curves and the phase angle curves) of (a)–(c) PVDF membrane substrate, (d)–(f) PVDF-PA membrane, and (g)–(i) PVDF-POMs#2 membrane before and after the membrane fouling. diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/graphic_abstract.jpg b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1e4eb1b1b01465496d2c9b9c52666f7024f7e9a5 --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:10c62bb43ea4a1caa7a4c5caf7881bf0eaad47308ae755182d0f13648825b17a +size 92177 diff --git a/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/manifest.json b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..1b8ba4e7b6bd9af6e9ec93df64f78ff63d881e84 --- /dev/null +++ b/Figures/Lu et al. - 2024 - Surface modification of nanofiltration membrane us/manifest.json @@ -0,0 +1,290 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Lu et al. - 2024 - Surface modification of nanofiltration membrane us.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 10, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 1, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 37.43, + 509.96, + 529.5, + 693.29 + ], + "caption_bbox_points": [ + 43.43, + 500.77, + 131.21, + 508.77 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 92177, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 3, + "caption": "Preparation process of POMs-modified composite membranes.", + "image": "figure_01.jpg", + "caption_file": "figure_01.txt", + "figure_bbox_points": [ + 78.47, + 483.2, + 510.67, + 712.28 + ], + "caption_bbox_points": [ + 43.43, + 713.76, + 311.77, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 76110, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_02", + "page": 5, + "caption": "SEM images of the membrane surfaces: (a) PVDF membrane; 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(b) The major MIKE OPERATIONS com- ponents used in the digital twin. (c) The slow and fast response components in the MIKEþ RDI hydrological model. diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_02.jpg b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5513a19e6a8bf00718001dcfde30207ea668cd5f --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bf5fa5d032f46ca6f27d92bcc19bad3903b9efe403b1b8319918e286a16f0c4f +size 105691 diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_02.txt b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..c9db7753a125dc3946fc3862e7996dec9d24a13a --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_02.txt @@ -0,0 +1 @@ +Digital twin structure of the sewer collection system RTC used in the Future City Flow concept (enhanced after Grievson et al. 2022). On the left, the physical system and the system controlling it. On the right, are the components of the digital twin (DT) and GUI. diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_03.jpg b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..73b96e678e4448e42f9fe1521f16e6feeac365ad --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a6c893ddb5be91925ed9df4fd4d5ab0a8c871aab049792b0e6cc53f7cb438f0d +size 120999 diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_03.txt b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..9dea34c21f39e5078c43d65adfff43eac3053703 --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_03.txt @@ -0,0 +1 @@ +Future City Flow: (a) FCF implementations in the Nordic countries (red dots), the red arrow indicating the location of the case study, Gothenburg, Sweden. (b) A stylization of the Gothenburg regional catchment tunnel system that transports wastewater to the Ryaverket WRRF. diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_04.jpg b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..640e18e45ee16f52baf7aec35bd2e05dc69002b4 --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b031f98d1aa06d11af1f721c99b8a635db63577557419bc9ed1185561b84fb03 +size 136329 diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_04.txt b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..52d8567a0de03a4c51e26497dcffab756def4bc7 --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_04.txt @@ -0,0 +1 @@ +Comparison of flow prognosis with online measured flow data for rain events. (a) Agreement between 6-h prognosis (3–6 h – dark purple line) and online measured flow (light blue line). (b) As for (a) with an added 12-h prognosis (6–12 h – yellow line). diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05.jpg b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cc5d15562bc83ebfee9b5478babe47b5d0fe1e60 --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9ddcabcd05f227a6ee8864c28198036113a738655172ecfdbacd50bac5c8d5a6 +size 132859 diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05.txt b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..5637bb9f34e9d678ca1decd44bcf5e522aaaacf2 --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05.txt @@ -0,0 +1 @@ +Views from the FCF GUI for the Gothenburg catchment. (a) A catchment prognosis during a large rain event showing the measured flow and level up to the time of forecast, the flow and level forecast from the time of forecast with and without control, as well as all the flow forecast horizons (0–1 h, 1–3 h, 3–6 h, 6–12 h, 12–24 h). The control strategy number is also shown after the time of forecast. By examining the forecast horizons, the quality of the prognosis can be judged as well as the consequences of changes in the rain forecast over the forecast horizon. (b) A catchment prognosis during a minor rain event. As (a) but only showing two flow forecast horizons (0–1 and 12–24 h). Significant differences can be noted between these two flow forecast horizons due to rain that was not predicted in the 12–24 h horizon. (c) An animation of the control strategy for the WRRF pumping station. On the left, the flow (blue, upper line) and level conditions (green, lower line) up to the time of forecast (dashed vertical line at centre) and the flow and level prognosis as well as the control strategy number (brown line) after the time of forecast. On the right, the pumping station controls boundaries (hysteresis band for level variation for a given flow rate) and the state point (flow rate (x-axis) and level (y-axis)). When played, the animation runs through the state point for each point in time during the event. (d) Uncertainty in the ‘Prognos F2’ forecast illustrated by the MEPS ensemble forecast ‘Prognos F4’ (green shaded area). (e) A KNEP rain prognosis snapshot from the FCF GUI showing intensity and spatial distribution. In the GUI, playing the KNEP prognosis shows the past 36 h and the coming 36 h. Strategic levels and flows in the catchment are shown on the left. (continued.). diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05_part_2.jpg b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05_part_2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e70f1b3ed56e785d09a5cd6becbf8f408e1c747d --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05_part_2.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2ca970faef3fa181471a425adab1a15737c4268452de12fd132ad900953312c +size 92122 diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05_part_2.txt b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05_part_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..75b9ca4918baa3c02d50f379b31163a652a91d2c --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_05_part_2.txt @@ -0,0 +1 @@ +Continued. diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_06.jpg b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7aedb995cff342ee73b2d2be5e465a61342d0530 --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:82c61fc00479a142f0757899edd1acace677fe9c75120175a9dacba159bc0857 +size 180969 diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_06.txt b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..279f869deb90025e5ba4990d51e1656f51a3dd82 --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_06.txt @@ -0,0 +1 @@ +Views from the DCS for the Gothenburg catchment. (a) A DCS process view of the WRRF inlet pumping station. FCF setpoint forecasts seen in the lower right-hand corner. The blue text ‘FCF-Modellstyrning aktiv!’ on the left-hand side indicates that the DCS is directly applying the suggested FCF setpoints after a plausibility control without operator intervention. (b) A process historian view of a rain event where prognosed setpoints are time-lagged and presented at the prognosed time (i.e. for any given time the curves present what the prognosed setpoint was, e.g. the 6 h curve shows what was prognosed 6 h earlier), dark green line is the online measured flow. The time horizons are the same as those used in Figure 5(a) although here labelled 1, 2, 4, 7 and 13 h, respectively. As expected, there is good agreement in dry weather, but varying rain forecasts can result in significant differences in the time horizons. (c) A view of a WRRF control room console with DCS (lower monitors) and FCF (upper monitors) displayed. Operators have access to the same information, albeit on a single screen, when working from home on standby duty as the WRRF is only manned part-time. diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_07.jpg b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7d59d0a5663495d2b6ed12297193ad7a87a3a471 --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:767502889197098f526ae374aff7bfc86611455e0780d677f9ad51505a6b98fb +size 55869 diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_07.txt b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee217dbec9fe4fd118917c72d81fe317095d8814 --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/figure_07.txt @@ -0,0 +1 @@ +Illustration of the inlet pumping station control strategy for the Gothenburg catchment. Pertinent data for the control strategy are sent from the DCS to FCF and the control strategy is updated at each forecast. Thus, the illustration is dynamic and the position and shape of each condition change depending on the current status at the WRRF and in the tunnel system. diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/graphic_abstract.jpg b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d3619ea7324f254a9aad809f69e1f6c3c3c2af49 --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:94c25fe9bfeed00f4270cfffcaa01fb4f2912d5e8e2debabd0391e89108340e3 +size 73438 diff --git a/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/manifest.json b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..a0aafc8f52a232ddece282bc160c05e3e7f91ece --- /dev/null +++ b/Figures/Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system/manifest.json @@ -0,0 +1,346 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Lumley et al. - 2024 - Implementing a digital twin for optimized real-time control of Gothenburg_s regional sewage system.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 12, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 64.87, + 84.94, + 398.23, + 286.97 + ], + "caption_bbox_points": [ + 70.87, + 79.48, + 158.65, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 73438, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 3, + "caption": "The MIKEþ toolbox: (a) general features of the MIKE OPERATIONS package. 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(a) A catchment prognosis during a large rain event showing the measured flow and level up to the time of forecast, the flow and level forecast from the time of forecast with and without control, as well as all the flow forecast horizons (0–1 h, 1–3 h, 3–6 h, 6–12 h, 12–24 h). The control strategy number is also shown after the time of forecast. By examining the forecast horizons, the quality of the prognosis can be judged as well as the consequences of changes in the rain forecast over the forecast horizon. (b) A catchment prognosis during a minor rain event. As (a) but only showing two flow forecast horizons (0–1 and 12–24 h). Significant differences can be noted between these two flow forecast horizons due to rain that was not predicted in the 12–24 h horizon. (c) An animation of the control strategy for the WRRF pumping station. 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(continued.).", + "image": "figure_05.jpg", + "caption_file": "figure_05.txt", + "figure_bbox_points": [ + 119.75, + 77.28, + 475.69, + 613.18 + ], + "caption_bbox_points": [ + 70.87, + 614.61, + 524.54, + 762.81 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 132859, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_05_part_2", + "page": 9, + "caption": "Continued.", + "image": "figure_05_part_2.jpg", + "caption_file": "figure_05_part_2.txt", + "figure_bbox_points": [ + 141.63, + 77.28, + 453.7, + 398.88 + ], + "caption_bbox_points": [ + 70.87, + 400.31, + 150.62, + 408.54 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 92122, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_06", + "page": 10, + "caption": "Views from the DCS for the Gothenburg catchment. (a) A DCS process view of the WRRF inlet pumping station. FCF setpoint forecasts seen in the lower right-hand corner. The blue text ‘FCF-Modellstyrning aktiv!’ on the left-hand side indicates that the DCS is directly applying the suggested FCF setpoints after a plausibility control without operator intervention. (b) A process historian view of a rain event where prognosed setpoints are time-lagged and presented at the prognosed time (i.e. for any given time the curves present what the prognosed setpoint was, e.g. the 6 h curve shows what was prognosed 6 h earlier), dark green line is the online measured flow. The time horizons are the same as those used in Figure 5(a) although here labelled 1, 2, 4, 7 and 13 h, respectively. As expected, there is good agreement in dry weather, but varying rain forecasts can result in significant differences in the time horizons. (c) A view of a WRRF control room console with DCS (lower monitors) and FCF (upper monitors) displayed. Operators have access to the same information, albeit on a single screen, when working from home on standby duty as the WRRF is only manned part-time.", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 149.05, + 77.28, + 446.42, + 641.24 + ], + "caption_bbox_points": [ + 70.87, + 642.73, + 524.48, + 740.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 180969, + "jpeg_quality": 86, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_07", + "page": 11, + "caption": "Illustration of the inlet pumping station control strategy for the Gothenburg catchment. Pertinent data for the control strategy are sent from the DCS to FCF and the control strategy is updated at each forecast. Thus, the illustration is dynamic and the position and shape of each condition change depending on the current status at the WRRF and in the tunnel system.", + "image": "figure_07.jpg", + "caption_file": "figure_07.txt", + "figure_bbox_points": [ + 105.18, + 297.76, + 490.23, + 529.79 + ], + "caption_bbox_points": [ + 70.87, + 531.33, + 524.43, + 559.51 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 55869, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_03", + "page": 12, + "caption": "Examples of control strategy conditions and rules", + "image": "table_03.jpg", + "caption_file": "table_03.txt", + "figure_bbox_points": [ + 50.51, + 52.0, + 791.38, + 534.53 + ], + "caption_bbox_points": [ + 72.85, + 538.53, + 81.02, + 756.0 + ], + "crop_method": "fallback_band", + "position_relative_to_caption": "above", + 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"Impervious surface 20 km2", + "bbox_points": [ + 70.87, + 307.22, + 217.61, + 316.77 + ], + "words": [ + { + "text": "Impervious", + "bbox_points": [ + 70.87, + 308.75, + 111.65, + 316.77 + ] + }, + { + "text": "surface", + "bbox_points": [ + 114.07, + 308.75, + 139.59, + 316.77 + ] + }, + { + "text": "20", + "bbox_points": [ + 191.96, + 308.75, + 200.79, + 316.77 + ] + }, + { + "text": "km2", + "bbox_points": [ + 202.79, + 307.22, + 217.61, + 316.77 + ] + } + ] + }, + { + "text": "Total drainage area 250 km2 out of which approximately. 50% is drained to the system through leakage and", + "bbox_points": [ + 70.87, + 321.22, + 506.77, + 330.77 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 70.87, + 322.76, + 89.33, + 330.77 + ] + }, + { + "text": "drainage", + "bbox_points": [ + 91.73, + 322.76, + 122.66, + 330.77 + ] + }, + { + "text": "area", + "bbox_points": [ + 125.01, + 322.76, + 140.31, + 330.77 + ] + }, + { + "text": "250", + "bbox_points": [ + 191.96, + 322.76, + 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"Healthy", + "bbox_points": [ + 175.86, + 208.63, + 204.67, + 216.65 + ] + }, + { + "text": "and", + "bbox_points": [ + 206.82, + 208.63, + 220.3, + 216.65 + ] + }, + { + "text": "sustainable", + "bbox_points": [ + 222.69, + 208.63, + 262.46, + 216.65 + ] + }, + { + "text": "Vsur", + "bbox_points": [ + 274.0, + 208.53, + 287.18, + 217.55 + ] + }, + { + "text": "artificial", + "bbox_points": [ + 291.51, + 211.94, + 312.42, + 217.55 + ] + }, + { + "text": "0", + "bbox_points": [ + 359.32, + 208.63, + 363.74, + 216.65 + ] + }, + { + "text": "–", + "bbox_points": [ + 455.19, + 208.35, + 459.19, + 216.35 + ] + } + ] + }, + { + "text": "Vsub artificial ¼ Vsub sponge Vsub artificial", + "bbox_points": [ + 64.01, + 222.19, + 313.27, + 231.56 + ], + "words": [ + { + "text": "Vsub", + "bbox_points": [ + 64.01, + 222.53, + 78.13, + 231.56 + ] + }, + { + "text": "artificial", + "bbox_points": [ + 82.37, + 225.95, + 103.28, + 231.56 + ] + }, + { + "text": "¼", + "bbox_points": [ + 105.96, + 222.36, + 112.12, + 230.36 + ] + }, + { + "text": "Vsub", + "bbox_points": [ + 114.35, + 222.53, + 128.47, + 231.56 + ] + }, + { + "text": "sponge", + "bbox_points": [ + 132.72, + 225.95, + 150.37, + 231.56 + ] + }, + { + "text": "Vsub", + "bbox_points": [ + 274.0, + 222.19, + 288.06, + 231.22 + ] + }, + { + "text": "artificial", + "bbox_points": [ + 292.36, + 225.61, + 313.27, + 231.22 + ] + } + ] + }, + { + "text": "Vsur artificial . Vsur AWV Healthy and sustainable Vsur AWV 0 Floods", + "bbox_points": [ + 64.01, + 237.15, + 479.31, + 246.35 + ], + "words": [ + { + "text": "Vsur", + "bbox_points": [ + 64.01, + 237.33, + 77.25, + 246.35 + ] + }, + { + "text": "artificial", + "bbox_points": [ + 81.52, + 240.74, + 102.43, + 246.35 + ] + }, + { + "text": ".", + "bbox_points": [ + 105.11, + 237.15, + 111.77, + 245.15 + ] + }, + { + "text": "Vsur", + "bbox_points": [ + 114.01, + 237.33, + 127.2, + 246.18 + ] + }, + { + "text": "AWV", + "bbox_points": [ + 131.53, + 240.57, + 145.76, + 246.18 + ] + }, + { + "text": "Healthy", + "bbox_points": [ + 175.86, + 237.43, + 204.67, + 245.45 + ] + }, + { + "text": "and", + "bbox_points": [ + 206.82, + 237.43, + 220.3, + 245.45 + ] + }, + { + "text": "sustainable", + "bbox_points": [ + 222.69, + 237.43, + 262.46, + 245.45 + ] + }, + { + "text": "Vsur", + "bbox_points": [ + 274.0, + 237.33, + 287.18, + 246.18 + ] + }, + { + "text": "AWV", + "bbox_points": [ + 291.51, + 240.57, + 305.74, + 246.18 + ] + }, + { + "text": "0", + "bbox_points": [ + 359.32, + 237.43, + 363.74, + 245.45 + ] + }, + { + "text": "Floods", + "bbox_points": [ + 455.19, + 237.43, + 479.31, + 245.45 + ] + } + ] + }, + { + "text": "Vsub artificial . Vsub AWV Vsub AWV", + "bbox_points": [ + 64.01, + 251.16, + 306.59, + 260.36 + ], + "words": [ + { + "text": "Vsub", + "bbox_points": [ + 64.01, + 251.33, + 78.13, + 260.36 + ] + }, + { + "text": "artificial", + "bbox_points": [ + 82.37, + 254.75, + 103.28, + 260.36 + ] + }, + { + "text": ".", + "bbox_points": [ + 105.96, + 251.16, + 112.62, + 259.16 + ] + }, + { + "text": "Vsub", + "bbox_points": [ + 114.86, + 251.33, + 128.98, + 260.36 + ] + }, + { + "text": "AWV", + "bbox_points": [ + 133.23, + 254.75, + 147.46, + 260.36 + ] + }, + { + "text": "Vsub", + "bbox_points": [ + 274.0, + 251.33, + 288.06, + 260.36 + ] + }, + { + "text": "AWV", + "bbox_points": [ + 292.36, + 254.75, + 306.59, + 260.36 + ] + } + ] + }, + { + "text": "3 APPLICATION OF AWV CASE STUDY OF XI’AN URBAN AREA", + "bbox_points": [ + 64.01, + 288.56, + 371.17, + 298.62 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 64.01, + 288.62, + 69.84, + 298.62 + ] + }, + { + "text": "APPLICATION", + "bbox_points": [ + 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depth Sh and initial abstraction depth hia of the different land use in Xi’an", + "page": 10, + "table_bbox_points": [ + 61.01, + 86.46, + 569.02, + 217.01 + ], + "caption_bbox_points": [ + 64.01, + 76.93, + 536.46, + 86.46 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 8, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Serial number Land use Area (km2) CN Sh (mm) hia (mm)", + "bbox_points": [ + 64.01, + 98.45, + 566.01, + 106.31 + ], + "words": [ + { + "text": "Serial", + "bbox_points": [ + 64.01, + 99.72, + 81.62, + 105.72 + ] + }, + { + "text": "number", + "bbox_points": [ + 83.62, + 99.72, + 107.73, + 105.72 + ] + }, + { + "text": "Land", + "bbox_points": [ + 161.97, + 99.72, + 176.77, + 105.72 + ] + }, + { + "text": "use", + "bbox_points": [ + 178.75, + 99.72, + 189.68, + 105.72 + ] + }, + { + "text": "Area", + "bbox_points": [ + 306.42, + 99.72, + 320.92, + 105.72 + ] + }, + { + "text": "(km2)", + "bbox_points": [ + 322.81, + 98.45, + 339.32, + 105.72 + ] + }, + { + "text": "CN", + "bbox_points": [ + 393.56, + 99.72, + 402.49, + 105.72 + ] + }, + { + "text": "Sh", + "bbox_points": [ + 461.03, + 99.68, + 467.88, + 106.31 + ] + }, + { + "text": "(mm)", + "bbox_points": [ + 469.93, + 99.72, + 485.79, + 105.72 + ] + }, + { + "text": "hia", + "bbox_points": [ + 540.0, + 99.68, + 548.15, + 106.31 + ] + }, + { + "text": "(mm)", + "bbox_points": [ + 550.15, + 99.72, + 566.01, + 105.72 + ] + } + ] + }, + { + "text": "1 Rivers and lakes 16 100 0 0", + "bbox_points": [ + 64.01, + 114.86, + 544.41, + 122.88 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 64.01, + 114.86, + 68.42, + 122.88 + ] + }, + { + "text": "Rivers", + "bbox_points": [ + 161.97, + 114.86, + 184.31, + 122.88 + ] + }, + { + "text": "and", + "bbox_points": [ + 186.69, + 114.86, + 200.17, + 122.88 + ] + }, + { + "text": "lakes", + "bbox_points": [ + 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of available water volume for sustainable sponge city construction \342\200\223 A case st/table_02.txt" "b/Figures/Luo et al. - 2024 - Integrated assessment of available water volume for sustainable sponge city construction \342\200\223 A case st/table_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..f45015efa41943f2f5150503079a158951c7d867 --- /dev/null +++ "b/Figures/Luo et al. - 2024 - Integrated assessment of available water volume for sustainable sponge city construction \342\200\223 A case st/table_02.txt" @@ -0,0 +1 @@ +Area, CN value, potential maximum retention depth Sh and initial abstraction depth hia of the different land use in Xi’an diff --git "a/Figures/Luo et al. - 2024 - Integrated assessment of available water volume for sustainable sponge city construction \342\200\223 A case st/table_03.jpg" "b/Figures/Luo et al. - 2024 - Integrated assessment of available water volume for sustainable sponge city construction \342\200\223 A case 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0000000000000000000000000000000000000000..fc69bfcc3e49551248eba40e051a46faf11b11f2 --- /dev/null +++ "b/Figures/Luo et al. - 2024 - Integrated assessment of available water volume for sustainable sponge city construction \342\200\223 A case st/table_03.txt" @@ -0,0 +1 @@ +Results of the AWV evaluation (million m3) for Xi’an diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_01.jpg b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..122d8d3ff0d4e80323991e2417c4f2d6445adc84 --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:142e7a90f3497b65d9d26ed5022b1e86de7d18b3b6e855e3df5876c310eb6662 +size 95892 diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_01.txt b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..9870bc53dfa17dad403ebc6dd4865bdb8fa1f19f --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_01.txt @@ -0,0 +1 @@ +Samples supplies and data image obtained for the cropped image from the video recording: (a) clays used to make the samples, (b) container of 5  5  5 cm3, (c) a sample with the translucent container, (d) cropped image associated with a high TSS concentration, (e) cropped image associated with a medium TSS concentration, and (f) cropped image associated with a low TSS concentration. diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_02.jpg b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..91e4e3c10ce248a13d205dac936e17a7c1227d70 --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e75cf631b8131b87bbbb59830470888e45c23dd1b3d6c131010a1387310f8e81 +size 35059 diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_02.txt b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..9468413476a1b366d5124caf0da13e7b3e5d4393 --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_02.txt @@ -0,0 +1 @@ +Scheme of experimental setup (see text). Samples are put in a transparent cubic container on a magnetic stirrer, illuminated laterally using an 18-inch Ring Light Edge-Lit LED. Images were captured with an iPhone 12. diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_03.jpg b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..94af3fe41732fefd17cb0f6620a71b9622a92769 --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b66f439755c864fbe314d5259527a47f27be3bf9fcd7f333147edfc90e36d962 +size 84126 diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_03.txt b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e86d8a6ff81945b71adf381035307659535f003 --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_03.txt @@ -0,0 +1 @@ +AlexNet architecture. (a) Training with big data ImageNet (input image size 244  244  3). (b) Five convolutional layers with ReLu as activation function and max-pooling to size reduce. (c) Three FC layers and the last layer uses SoftMax as activation function to the classifier. diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_04.jpg b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..12f87087c563677c9a79000b54ad7ff501b5b737 --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:288730a19da6f60d5848f15d4995ef52a36bebfce42c79cd6a651834290a8b5d +size 112656 diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_04.txt b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f62889a53f08838590adcd161c831ba8c8855d8 --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_04.txt @@ -0,0 +1 @@ +Representation of the TL process in the CNN model used: (a) well-trained AlexNet CNN, (b) removing last layer classifier for a new task, (c) reuse of the pre-trained model, (d) new training dataset of water samples and modification of the CNN, and (e) classification result. diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_05.jpg b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cd3118958408df4f474efed08d4940307440dba7 --- /dev/null +++ b/Figures/Luviano Soto et al. - 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2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_06.jpg b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2549b06dee3c8ad768a921b667992ccd20807b4f --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2321a135f78b7795c6c53785694eb69e197c4381a3b56a4dcd1fd2094602fdb4 +size 44761 diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_06.txt b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9ea9d0a2bd9318c61e1cca9fdd7033956bcebcc --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_06.txt @@ -0,0 +1 @@ +Confusion matrix obtained by the validation dataset: (a) normalised confusion matrix and (b) confusion matrix without normalisation. diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_07.jpg b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0a60bf479d1e36e9d4e29739119320c4dea5d702 --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f45795e472e9c1524a66b62b253198639524f0626c5f1046be862f856d294bf5 +size 55895 diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_07.txt b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..4860c071ca73af53bba4c0fb3e4da06ba1a5bb1f --- /dev/null +++ b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_07.txt @@ -0,0 +1 @@ +ROC curve obtained from the evaluation of CNN performance: (a) ROC curve and AUC value for each class and (b) ROC curve and overall AUC value. diff --git a/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_08.jpg b/Figures/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4b80db8ee7d9e851e02470aba0bfbcaa1d6c54c4 --- /dev/null +++ b/Figures/Luviano Soto et al. - 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(a) Random input image. 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+ 573.17, + 133.6, + 581.18 + ] + }, + { + "text": "R", + "bbox_points": [ + 136.01, + 573.17, + 141.59, + 581.18 + ] + }, + { + "text": "River", + "bbox_points": [ + 204.78, + 573.17, + 223.79, + 581.18 + ] + }, + { + "text": "Lukicha", + "bbox_points": [ + 280.92, + 573.17, + 310.63, + 581.18 + ] + }, + { + "text": "8.2708409,", + "bbox_points": [ + 386.59, + 573.17, + 425.92, + 581.18 + ] + }, + { + "text": "36.118482", + "bbox_points": [ + 428.2, + 573.17, + 465.53, + 581.18 + ] + } + ] + }, + { + "text": "8 Ikule R River Ikule 8.4068467, 36.007040", + "bbox_points": [ + 43.43, + 587.17, + 465.53, + 595.19 + ], + "words": [ + { + "text": "8", + "bbox_points": [ + 43.43, + 587.17, + 47.85, + 595.19 + ] + }, + { + "text": "Ikule", + "bbox_points": [ + 97.23, + 587.17, + 115.87, + 595.19 + ] + }, + { + "text": "R", + "bbox_points": [ + 118.27, + 587.17, + 123.84, + 595.19 + ] + }, + { + "text": "River", + "bbox_points": [ + 204.78, + 587.17, + 223.79, + 595.19 + ] + }, + { + "text": "Ikule", + "bbox_points": [ + 280.92, + 587.17, + 299.56, + 595.19 + ] + }, + { + "text": "8.4068467,", + "bbox_points": [ + 386.59, + 587.17, + 425.92, + 595.19 + ] + }, + { + "text": "36.007040", + "bbox_points": [ + 428.21, + 587.17, + 465.53, + 595.19 + ] + } + ] + }, + { + "text": "9 Chita R River Chita 8.519132, 35.94123", + "bbox_points": [ + 43.43, + 601.17, + 456.75, + 609.19 + ], + "words": [ + { + "text": "9", + "bbox_points": [ + 43.43, + 601.17, + 47.85, + 609.19 + ] + }, + { + "text": "Chita", + "bbox_points": [ + 97.23, + 601.17, + 116.79, + 609.19 + ] + }, + { + "text": "R", + "bbox_points": [ + 119.18, + 601.17, + 124.75, + 609.19 + ] + }, + { + "text": "River", + "bbox_points": [ + 204.78, + 601.17, + 223.79, + 609.19 + ] + }, + { + "text": "Chita", + "bbox_points": [ + 280.92, + 601.17, + 300.47, + 609.19 + ] + }, + { + "text": "8.519132,", + "bbox_points": [ + 386.59, + 601.17, + 421.51, + 609.19 + ] + }, + { + "text": "35.94123", + "bbox_points": [ + 423.84, + 601.17, + 456.75, + 609.19 + ] + } + ] + }, + { + "text": "Groundwater", + "bbox_points": [ + 97.23, + 615.07, + 144.51, + 623.07 + ], + "words": [ + { + "text": "Groundwater", + "bbox_points": [ + 97.23, + 615.07, + 144.51, + 623.07 + ] + } + ] + }, + { + "text": "10 Signal BH Borehole Signal 7.99053199, 36.8323305", + "bbox_points": [ + 43.43, + 629.18, + 468.11, + 637.2 + ], + "words": [ + { + "text": "10", + "bbox_points": [ + 43.43, + 629.18, + 52.26, + 637.2 + ] + }, + { + "text": "Signal", + "bbox_points": [ + 97.23, + 629.18, + 119.54, + 637.2 + ] + }, + { + "text": "BH", + "bbox_points": [ + 121.9, + 629.18, + 134.47, + 637.2 + ] + }, + { + "text": "Borehole", + "bbox_points": [ + 204.78, + 629.18, + 237.52, + 637.2 + ] + }, + { + "text": "Signal", + "bbox_points": [ + 280.92, + 629.18, + 303.22, + 637.2 + ] + }, + { + "text": "7.99053199,", + "bbox_points": [ + 380.47, + 629.18, + 424.08, + 637.2 + ] + }, + { + "text": "36.8323305", + "bbox_points": [ + 426.51, + 629.18, + 468.11, + 637.2 + ] + } + ] + }, + { + "text": "11 Kibaoni BH Borehole Kibaoni 8.096525, 36.684714", + "bbox_points": [ + 43.43, + 643.18, + 461.03, + 651.2 + ], + "words": [ + { + "text": "11", + "bbox_points": [ + 43.43, + 643.18, + 52.26, + 651.2 + ] + }, + { + "text": "Kibaoni", + "bbox_points": [ + 97.23, + 643.18, + 125.79, + 651.2 + ] + }, + { + "text": "BH", + "bbox_points": [ + 128.13, + 643.18, + 140.71, + 651.2 + ] + }, + { + "text": "Borehole", + "bbox_points": [ + 204.78, + 643.18, + 237.52, + 651.2 + ] + }, + { + "text": "Kibaoni", + "bbox_points": [ + 280.92, + 643.18, + 309.38, + 651.2 + ] + }, + { + "text": "8.096525,", + "bbox_points": [ + 386.59, + 643.18, + 421.51, + 651.2 + ] + }, + { + "text": "36.684714", + "bbox_points": [ + 423.84, + 643.18, + 461.03, + 651.2 + ] + } + ] + }, + { + "text": "12 Sagamaganga BH Borehole Sagamaganga 8.0726118, 36.7903491", + "bbox_points": [ + 43.43, + 657.19, + 469.95, + 665.2 + ], + "words": [ + { + "text": "12", + "bbox_points": [ + 43.43, + 657.19, + 52.27, + 665.2 + ] + }, + { + "text": "Sagamaganga", + "bbox_points": [ + 97.24, + 657.19, + 146.42, + 665.2 + ] + }, + { + "text": "BH", + "bbox_points": [ + 148.83, + 657.19, + 161.4, + 665.2 + ] + }, + { + "text": "Borehole", + "bbox_points": [ + 204.78, + 657.19, + 237.52, + 665.2 + ] + }, + { + "text": "Sagamaganga", + "bbox_points": [ + 280.92, + 657.19, + 330.11, + 665.2 + ] + }, + { + "text": "8.0726118,", + "bbox_points": [ + 386.6, + 657.19, + 425.92, + 665.2 + ] + }, + { + "text": "36.7903491", + "bbox_points": [ + 428.21, + 657.19, + 469.95, + 665.2 + ] + } + ] + }, + { + "text": "13 Mikoroshini BH Borehole Mlimba 8.782157, 35.814662", + "bbox_points": [ + 43.43, + 671.19, + 461.03, + 679.2 + ], + "words": [ + { + "text": "13", + "bbox_points": [ + 43.43, + 671.19, + 52.27, + 679.2 + ] + }, + { + "text": "Mikoroshini", + "bbox_points": [ + 97.24, + 671.19, + 141.28, + 679.2 + ] + }, + { + "text": "BH", + "bbox_points": [ + 143.67, + 671.19, + 156.24, + 679.2 + ] + }, + { + "text": "Borehole", + "bbox_points": [ + 204.78, + 671.19, + 237.53, + 679.2 + ] + }, + { + "text": "Mlimba", + "bbox_points": [ + 280.92, + 671.19, + 308.9, + 679.2 + ] + }, + { + "text": "8.782157,", + "bbox_points": [ + 386.6, + 671.19, + 421.51, + 679.2 + ] + }, + { + "text": "35.814662", + "bbox_points": [ + 423.84, + 671.19, + 461.03, + 679.2 + ] + } + ] + }, + { + "text": "14 Tanesco BH Borehole Mlimba 8.775964, 35.813228", + "bbox_points": [ + 43.44, + 685.19, + 461.03, + 693.21 + ], + "words": [ + { + "text": "14", + "bbox_points": [ + 43.44, + 685.19, + 52.27, + 693.21 + ] + }, + { + "text": "Tanesco", + "bbox_points": [ + 97.24, + 685.19, + 126.86, + 693.21 + ] + }, + { + "text": "BH", + "bbox_points": [ + 129.21, + 685.19, + 141.79, + 693.21 + ] + }, + { + "text": "Borehole", + "bbox_points": [ + 204.78, + 685.19, + 237.53, + 693.21 + ] + }, + { + "text": "Mlimba", + "bbox_points": [ + 280.92, + 685.19, + 308.9, + 693.21 + ] + }, + { + "text": "8.775964,", + "bbox_points": [ + 386.6, + 685.19, + 421.51, + 693.21 + ] + }, + { + "text": "35.813228", + "bbox_points": [ + 423.84, + 685.19, + 461.03, + 693.21 + ] + } + ] + }, + { + "text": "15 Kalengakelu BH Borehole Kalengakelu 8.756378, 35.850931", + "bbox_points": [ + 43.44, + 699.19, + 461.03, + 707.21 + ], + "words": [ + { + "text": "15", + "bbox_points": [ + 43.44, + 699.19, + 52.27, + 707.21 + ] + }, + { + "text": "Kalengakelu", + "bbox_points": [ + 97.24, + 699.19, + 141.87, + 707.21 + ] + }, + { + "text": "BH", + "bbox_points": [ + 144.24, + 699.19, + 156.81, + 707.21 + ] + }, + { + "text": "Borehole", + "bbox_points": [ + 204.78, + 699.19, + 237.53, + 707.21 + ] + }, + { + "text": "Kalengakelu", + "bbox_points": [ + 280.92, + 699.19, + 325.56, + 707.21 + ] + }, + { + "text": "8.756378,", + "bbox_points": [ + 386.6, + 699.19, + 421.51, + 707.21 + ] + }, + { + "text": "35.850931", + "bbox_points": [ + 423.85, + 699.19, + 461.03, + 707.21 + ] + } + ] + }, + { + "text": "Key: R river; BH borehole", + "bbox_points": [ + 43.43, + 714.28, + 114.85, + 721.52 + ], + "words": [ + { + "text": "Key:", + "bbox_points": [ + 43.43, + 714.28, + 54.8, + 721.52 + ] + }, + { + "text": "R", + "bbox_points": [ + 56.81, + 715.52, + 60.3, + 721.52 + ] + }, + { + "text": "river;", + "bbox_points": [ + 63.95, + 715.52, + 77.68, + 721.52 + ] + }, + { + "text": "BH", + "bbox_points": [ + 79.6, + 715.52, + 87.22, + 721.52 + ] + }, + { + "text": "borehole", + "bbox_points": [ + 90.88, + 715.52, + 114.85, + 721.52 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Lwinga et al. - 2024 - Evaluating the potability of domestic water supply sources using water quality index in Kilombero di/table_01.txt b/Figures/Lwinga et al. - 2024 - Evaluating the potability of domestic water supply sources using water quality index in Kilombero di/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa04d5512095482dfd26a6a252cb0858b8b1498c --- 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"detected_table_bbox_points": null, + "row_count": 4, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Parameter Turbidity (NTU) Colour (TCU) pH EC (μS/cm) TDS (mg/L) TH (mg/L) Ca2þ (mg/L) Mg2þ (mg/L) Fe2þ/Fe3þ (mg/L)", + "bbox_points": [ + 43.43, + 98.45, + 545.47, + 105.72 + ], + "words": [ + { + "text": "Parameter", + "bbox_points": [ + 43.43, + 99.72, + 75.67, + 105.72 + ] + }, + { + "text": "Turbidity", + "bbox_points": [ + 111.85, + 99.72, + 139.63, + 105.72 + ] + }, + { + "text": "(NTU)", + "bbox_points": [ + 141.56, + 99.72, + 158.29, + 105.72 + ] + }, + { + "text": "Colour", + "bbox_points": [ + 170.08, + 99.72, + 190.36, + 105.72 + ] + }, + { + "text": "(TCU)", + "bbox_points": [ + 192.3, + 99.72, + 208.46, + 105.72 + ] + }, + { + "text": "pH", + "bbox_points": [ + 220.19, + 99.72, + 228.69, + 105.72 + ] + }, + { + "text": "EC", + "bbox_points": [ + 266.45, + 99.72, + 274.38, + 105.72 + ] + }, + { + "text": "(μS/cm)", + "bbox_points": [ + 276.37, + 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100 0.3", + "bbox_points": [ + 43.43, + 114.58, + 504.85, + 122.88 + ], + "words": [ + { + "text": "Prescribed", + "bbox_points": [ + 43.43, + 114.86, + 81.23, + 122.88 + ] + }, + { + "text": "limit", + "bbox_points": [ + 83.57, + 114.86, + 100.13, + 122.88 + ] + }, + { + "text": "25", + "bbox_points": [ + 111.86, + 114.86, + 120.69, + 122.88 + ] + }, + { + "text": "50", + "bbox_points": [ + 170.08, + 114.86, + 178.91, + 122.88 + ] + }, + { + "text": "5.5–9.5", + "bbox_points": [ + 220.19, + 114.58, + 245.82, + 122.88 + ] + }, + { + "text": "2,500", + "bbox_points": [ + 266.46, + 114.86, + 286.12, + 122.88 + ] + }, + { + "text": "1,500", + "bbox_points": [ + 311.24, + 114.86, + 330.91, + 122.88 + ] + }, + { + "text": "600", + "bbox_points": [ + 356.14, + 114.86, + 369.39, + 122.88 + ] + }, + { + "text": "150", + "bbox_points": [ + 397.25, + 114.86, + 410.49, + 122.88 + ] + }, + { + "text": "100", + "bbox_points": [ + 444.64, + 114.86, + 457.89, + 122.88 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 494.02, + 114.86, + 504.85, + 122.88 + ] + } + ] + }, + { + "text": "Parameter Cl (mg/L) F (mg/L) NO 3 (mg/L) NO 2 (mg/L) SO2 4 (mg/L) PO3 4 (mg/L)", + "bbox_points": [ + 43.43, + 127.46, + 480.67, + 136.02 + ], + "words": [ + { + "text": "Parameter", + "bbox_points": [ + 43.43, + 128.75, + 75.67, + 134.75 + ] + }, + { + "text": "Cl", + "bbox_points": [ + 111.85, + 128.75, + 117.91, + 134.75 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 123.42, + 128.75, + 142.78, + 134.75 + ] + }, + { + "text": "F", + "bbox_points": [ + 170.08, + 128.75, + 173.7, + 134.75 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 179.21, + 128.75, + 198.57, + 134.75 + ] + }, + { + "text": "NO", + "bbox_points": [ + 220.19, + 128.75, + 229.56, + 134.75 + ] + }, + { + "text": "3", + "bbox_points": [ + 229.55, + 131.82, + 232.0, + 136.02 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 235.33, + 128.75, + 254.69, + 134.75 + ] + }, + { + "text": "NO", + "bbox_points": [ + 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"limit", + "bbox_points": [ + 83.57, + 147.4, + 100.13, + 155.42 + ] + }, + { + "text": "250", + "bbox_points": [ + 111.86, + 147.4, + 125.1, + 155.42 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 170.08, + 147.4, + 180.91, + 155.42 + ] + }, + { + "text": "45", + "bbox_points": [ + 220.19, + 147.4, + 229.03, + 155.42 + ] + }, + { + "text": "0.9", + "bbox_points": [ + 266.46, + 147.4, + 277.29, + 155.42 + ] + }, + { + "text": "400", + "bbox_points": [ + 356.14, + 147.4, + 369.39, + 155.42 + ] + }, + { + "text": "2.2", + "bbox_points": [ + 444.64, + 147.4, + 455.47, + 155.42 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Lwinga et al. - 2024 - Evaluating the potability of domestic water supply sources using water quality index in Kilombero di/table_02.txt b/Figures/Lwinga et al. - 2024 - Evaluating the potability of domestic water supply sources using water quality index in Kilombero di/table_02.txt new file mode 100644 index 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"text": "96", + "bbox_points": [ + 299.22, + 199.9, + 308.06, + 207.92 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 338.51, + 199.9, + 372.14, + 207.92 + ] + }, + { + "text": "95.7", + "bbox_points": [ + 396.17, + 199.9, + 411.42, + 207.92 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 435.46, + 199.9, + 469.09, + 207.92 + ] + }, + { + "text": "100", + "bbox_points": [ + 493.11, + 199.9, + 506.36, + 207.92 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 532.46, + 199.9, + 565.99, + 207.92 + ] + } + ] + }, + { + "text": "Lukicha R 2020–2023 100 Excellent 100 Excellent 100 Excellent", + "bbox_points": [ + 64.01, + 213.62, + 565.99, + 221.92 + ], + "words": [ + { + "text": "Lukicha", + "bbox_points": [ + 64.01, + 213.9, + 93.72, + 221.92 + ] + }, + { + "text": "R", + "bbox_points": [ + 96.04, + 213.9, + 101.61, + 221.92 + ] + }, + { + "text": "2020–2023", + "bbox_points": [ + 235.9, + 213.62, + 275.16, + 221.92 + ] + }, + { + "text": "100", + "bbox_points": [ + 299.22, + 213.9, + 312.47, + 221.92 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 338.51, + 213.9, + 372.14, + 221.92 + ] + }, + { + "text": "100", + "bbox_points": [ + 396.17, + 213.9, + 409.42, + 221.92 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 435.46, + 213.9, + 469.09, + 221.92 + ] + }, + { + "text": "100", + "bbox_points": [ + 493.11, + 213.9, + 506.36, + 221.92 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 532.46, + 213.9, + 565.99, + 221.92 + ] + } + ] + }, + { + "text": "Mwaya R 2020–2023 100 Excellent 100 Excellent 100 Excellent", + "bbox_points": [ + 64.01, + 227.63, + 565.99, + 235.92 + ], + "words": [ + { + "text": "Mwaya", + "bbox_points": [ + 64.01, + 227.91, + 89.82, + 235.92 + ] + }, + { + "text": "R", + "bbox_points": [ + 92.24, + 227.91, + 97.82, + 235.92 + ] + }, + { + "text": "2020–2023", + "bbox_points": [ + 235.9, + 227.63, + 275.16, + 235.92 + ] + }, + { + "text": "100", + "bbox_points": [ + 299.22, + 227.91, + 312.47, + 235.92 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 338.51, + 227.91, + 372.14, + 235.92 + ] + }, + { + "text": "100", + "bbox_points": [ + 396.17, + 227.91, + 409.42, + 235.92 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 435.46, + 227.91, + 469.09, + 235.92 + ] + }, + { + "text": "100", + "bbox_points": [ + 493.11, + 227.91, + 506.36, + 235.92 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 532.46, + 227.91, + 565.99, + 235.92 + ] + } + ] + }, + { + "text": "Sanje (Nalumangala R) 2020–2023 91.9 Good 91.4 Good 95.9 Excellent", + "bbox_points": [ + 64.01, + 241.57, + 565.99, + 249.87 + ], + "words": [ + { + "text": "Sanje", + "bbox_points": [ + 64.01, + 241.85, + 83.81, + 249.87 + ] + }, + { + "text": "(Nalumangala", + "bbox_points": [ + 86.17, + 241.85, + 137.2, + 249.87 + ] + }, + { + "text": "R)", + "bbox_points": [ + 139.58, + 241.85, + 147.9, + 249.87 + ] + }, + { + "text": "2020–2023", + "bbox_points": [ + 235.9, + 241.57, + 275.16, + 249.87 + ] + }, + { + "text": "91.9", + "bbox_points": [ + 299.22, + 241.85, + 314.47, + 249.87 + ] + }, + { + "text": "Good", + "bbox_points": [ + 338.51, + 241.85, + 358.98, + 249.87 + ] + }, + { + "text": "91.4", + "bbox_points": [ + 396.17, + 241.85, + 411.42, + 249.87 + ] + }, + { + "text": "Good", + "bbox_points": [ + 435.46, + 241.85, + 455.93, + 249.87 + ] + }, + { + "text": "95.9", + "bbox_points": [ + 493.11, + 241.85, + 508.36, + 249.87 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 532.46, + 241.85, + 565.99, + 249.87 + ] + } + ] + }, + { + "text": "Sonjo R 2020–2023 91.6 Good 95.7 Excellent 93.9 Good", + "bbox_points": [ + 64.01, + 255.58, + 552.93, + 263.87 + ], + "words": [ + { + "text": "Sonjo", + "bbox_points": [ + 64.01, + 255.86, + 84.81, + 263.87 + ] + }, + { + "text": "R", + "bbox_points": [ + 87.19, + 255.86, + 92.77, + 263.87 + ] + }, + { + "text": "2020–2023", + "bbox_points": [ + 235.9, + 255.58, + 275.16, + 263.87 + ] + }, + { + "text": "91.6", + "bbox_points": [ + 299.22, + 255.86, + 314.47, + 263.87 + ] + }, + { + "text": "Good", + "bbox_points": [ + 338.51, + 255.86, + 358.98, + 263.87 + ] + }, + { + "text": "95.7", + "bbox_points": [ + 396.17, + 255.86, + 411.42, + 263.87 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 435.46, + 255.86, + 469.09, + 263.87 + ] + }, + { + "text": "93.9", + "bbox_points": [ + 493.11, + 255.86, + 508.36, + 263.87 + ] + }, + { + "text": "Good", + "bbox_points": [ + 532.46, + 255.86, + 552.93, + 263.87 + ] + } + ] + }, + { + "text": "Groundwater", + "bbox_points": [ + 64.01, + 269.76, + 111.28, + 277.76 + ], + "words": [ + { + "text": "Groundwater", + "bbox_points": [ + 64.01, + 269.76, + 111.28, + 277.76 + ] + } + ] + }, + { + "text": "Mlimba (Mikoroshini BH) 2020–2023 95.8 Excellent 100 Excellent 94.5 Good", + "bbox_points": [ + 64.01, + 283.58, + 552.93, + 291.88 + ], + "words": [ + { + "text": "Mlimba", + "bbox_points": [ + 64.01, + 283.86, + 91.98, + 291.88 + ] + }, + { + "text": "(Mikoroshini", + "bbox_points": [ + 94.34, + 283.86, + 141.1, + 291.88 + ] + }, + { + "text": "BH)", + "bbox_points": [ + 143.49, + 283.86, + 158.81, + 291.88 + ] + }, + { + "text": "2020–2023", + "bbox_points": [ + 235.9, + 283.58, + 275.16, + 291.88 + ] + }, + { + "text": "95.8", + "bbox_points": [ + 299.22, + 283.86, + 314.47, + 291.88 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 338.51, + 283.86, + 372.14, + 291.88 + ] + }, + { + "text": "100", + "bbox_points": [ + 396.17, + 283.86, + 409.42, + 291.88 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 435.46, + 283.86, + 469.09, + 291.88 + ] + }, + { + "text": "94.5", + "bbox_points": [ + 493.11, + 283.86, + 508.36, + 291.88 + ] + }, + { + "text": "Good", + "bbox_points": [ + 532.46, + 283.86, + 552.93, + 291.88 + ] + } + ] + }, + { + "text": "Mlimba (Tanesco BH) 2020–2023 100 Excellent 100 Excellent 100 Excellent", + "bbox_points": [ + 64.01, + 297.59, + 565.99, + 305.88 + ], + "words": [ + { + "text": "Mlimba", + "bbox_points": [ + 64.01, + 297.87, + 91.98, + 305.88 + ] + }, + { + "text": "(Tanesco", + "bbox_points": [ + 94.34, + 297.87, + 126.69, + 305.88 + ] + }, + { + "text": "BH)", + "bbox_points": [ + 129.03, + 297.87, + 144.35, + 305.88 + ] + }, + { + "text": "2020–2023", + "bbox_points": [ + 235.9, + 297.59, + 275.16, + 305.88 + ] + }, + { + "text": "100", + "bbox_points": [ + 299.22, + 297.87, + 312.47, + 305.88 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 338.51, + 297.87, + 372.14, + 305.88 + ] + }, + { + "text": "100", + "bbox_points": [ + 396.17, + 297.87, + 409.42, + 305.88 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 435.46, + 297.87, + 469.09, + 305.88 + ] + }, + { + "text": "100", + "bbox_points": [ + 493.11, + 297.87, + 506.36, + 305.88 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 532.46, + 297.87, + 565.99, + 305.88 + ] + } + ] + }, + { + "text": "Kalengakelu BH 2020–2023 90.4 Good 89.1 Good 94.5 Good", + "bbox_points": [ + 64.01, + 311.59, + 552.93, + 319.88 + ], + "words": [ + { + "text": "Kalengakelu", + "bbox_points": [ + 64.01, + 311.87, + 108.64, + 319.88 + ] + }, + { + "text": "BH", + "bbox_points": [ + 111.01, + 311.87, + 123.58, + 319.88 + ] + }, + { + "text": "2020–2023", + "bbox_points": [ + 235.9, + 311.59, + 275.16, + 319.88 + ] + }, + { + "text": "90.4", + "bbox_points": [ + 299.22, + 311.87, + 314.47, + 319.88 + ] + }, + { + "text": "Good", + "bbox_points": [ + 338.51, + 311.87, + 358.98, + 319.88 + ] + }, + { + "text": "89.1", + "bbox_points": [ + 396.17, + 311.87, + 411.42, + 319.88 + ] + }, + { + "text": "Good", + "bbox_points": [ + 435.46, + 311.87, + 455.93, + 319.88 + ] + }, + { + "text": "94.5", + "bbox_points": [ + 493.11, + 311.87, + 508.36, + 319.88 + ] + }, + { + "text": "Good", + "bbox_points": [ + 532.46, + 311.87, + 552.93, + 319.88 + ] + } + ] + }, + { + "text": "Kibaoni BH 2020–2023 100 Excellent 100 Excellent 100 Excellent", + "bbox_points": [ + 64.01, + 325.59, + 565.99, + 333.89 + ], + "words": [ + { + "text": "Kibaoni", + "bbox_points": [ + 64.01, + 325.87, + 92.47, + 333.89 + ] + }, + { + "text": "BH", + "bbox_points": [ + 94.9, + 325.87, + 107.48, + 333.89 + ] + }, + { + "text": "2020–2023", + "bbox_points": [ + 235.9, + 325.59, + 275.16, + 333.89 + ] + }, + { + "text": "100", + "bbox_points": [ + 299.22, + 325.87, + 312.47, + 333.89 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 338.51, + 325.87, + 372.14, + 333.89 + ] + }, + { + "text": "100", + "bbox_points": [ + 396.17, + 325.87, + 409.42, + 333.89 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 435.46, + 325.87, + 469.09, + 333.89 + ] + }, + { + "text": "100", + "bbox_points": [ + 493.11, + 325.87, + 506.36, + 333.89 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 532.46, + 325.87, + 565.99, + 333.89 + ] + } + ] + }, + { + "text": "Sagamaganga BH 2020–2023 96.1 Excellent 95.7 Excellent 100 Excellent", + "bbox_points": [ + 64.01, + 339.6, + 565.99, + 347.89 + ], + "words": [ + { + "text": "Sagamaganga", + "bbox_points": [ + 64.01, + 339.88, + 113.19, + 347.89 + ] + }, + { + "text": "BH", + "bbox_points": [ + 115.6, + 339.88, + 128.17, + 347.89 + ] + }, + { + "text": "2020–2023", + "bbox_points": [ + 235.9, + 339.6, + 275.16, + 347.89 + ] + }, + { + "text": "96.1", + "bbox_points": [ + 299.22, + 339.88, + 314.47, + 347.89 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 338.51, + 339.88, + 372.14, + 347.89 + ] + }, + { + "text": "95.7", + "bbox_points": [ + 396.17, + 339.88, + 411.42, + 347.89 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 435.46, + 339.88, + 469.09, + 347.89 + ] + }, + { + "text": "100", + "bbox_points": [ + 493.11, + 339.88, + 506.36, + 347.89 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 532.46, + 339.88, + 565.99, + 347.89 + ] + } + ] + }, + { + "text": "Signal BH 2020–2023 91.8 Good 100 Excellent 90.3 Good", + "bbox_points": [ + 64.01, + 353.6, + 552.93, + 361.89 + ], + "words": [ + { + "text": "Signal", + "bbox_points": [ + 64.01, + 353.88, + 86.31, + 361.89 + ] + }, + { + "text": "BH", + "bbox_points": [ + 88.67, + 353.88, + 101.24, + 361.89 + ] + }, + { + "text": "2020–2023", + "bbox_points": [ + 235.9, + 353.6, + 275.16, + 361.89 + ] + }, + { + "text": "91.8", + "bbox_points": [ + 299.22, + 353.88, + 314.47, + 361.89 + ] + }, + { + "text": "Good", + "bbox_points": [ + 338.51, + 353.88, + 358.98, + 361.89 + ] + }, + { + "text": "100", + "bbox_points": [ + 396.17, + 353.88, + 409.42, + 361.89 + ] + }, + { + "text": "Excellent", + "bbox_points": [ + 435.46, + 353.88, + 469.09, + 361.89 + ] + }, + { + "text": "90.3", + "bbox_points": [ + 493.11, + 353.88, + 508.36, + 361.89 + ] + }, + { + "text": "Good", + "bbox_points": [ + 532.46, + 353.88, + 552.93, + 361.89 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Lwinga et al. - 2024 - Evaluating the potability of domestic water supply sources using water quality index in Kilombero di/table_06.txt b/Figures/Lwinga et al. - 2024 - Evaluating the potability of domestic water supply sources using water quality index in Kilombero di/table_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..0c38eb5a74544e180c56708291b9fb531505bd9c --- /dev/null +++ b/Figures/Lwinga et al. - 2024 - Evaluating the potability of domestic water supply sources using water quality index in Kilombero di/table_06.txt @@ -0,0 +1 @@ +The computed CCME WQI values diff --git "a/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_01.jpg" "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..38a3071d1dd601e0431e0fbde24a55628cffbdab --- /dev/null +++ "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:64ad4cf7b50b04f23df265982e52943174a7ec35f652db76316e5239ca9f7915 +size 101460 diff --git "a/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_01.txt" "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..b3a278465be7fbd0adca964d79cbf4581a2fee7c --- /dev/null +++ "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_01.txt" @@ -0,0 +1 @@ +Sampling sites within the Cañuela river catchment in Concepción of San Ramón, Costa Rica. diff --git "a/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_02.jpg" "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..336e0cf6a8883bb5bb84832fbac0ac3fedd1da3f --- /dev/null +++ "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fb14a07eb2130d6ea56d52762b7ca2ee31f0349a3cc90777d1deb4153dd246e7 +size 112254 diff --git "a/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_02.txt" "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..a63fcf966415a084c3b8a41f406ea5db3a7bfd7b --- /dev/null +++ "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_02.txt" @@ -0,0 +1 @@ +Boxplots showing the concentration of several parameters in the households (H), springs (S), and river (R) in the Cañuela river catchment in Concepción of San Ramón, Costa Rica. diff --git "a/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_03.jpg" "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..98f43541150c9358253c84a514f581b7c1b5b28f --- /dev/null +++ "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:adfa748f4a99ad2a1494e46ee426c9fe037f3718b94c403f0c992118dc086400 +size 108810 diff --git "a/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_03.txt" "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..8b10add77ae6ef0f5099248fcd22bc8e92444740 --- /dev/null +++ "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_03.txt" @@ -0,0 +1 @@ +Relations of (a) [Ca2þ þ Mg2þ]/[HCO diff --git "a/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_04.jpg" "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..37238702259d76d8de97287c80cdda45b40a0d1b --- /dev/null +++ "b/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water management organisation using integrated water qua/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a3a22299aecc29b0a938a89c564fbdf3ce0e51592e542612fb25fae494840d7c +size 55142 diff --git "a/Figures/L\303\263pez-Esquivel et al. - 2024 - Performance evaluation of a community-based water 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Presentation of values as box plots (indicating quartiles, the horizontal line denoting the median). Each dot represents a single measured value. 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process water quality (depending on the presence of process water systems) in car wash/table_02.txt" @@ -0,0 +1 @@ +Data of facilities with filter treatment from data set a (survey data) diff --git "a/Figures/L\303\266ffler et al. - 2024 - Assessment of process water quality (depending on the presence of process water systems) in car wash/table_03.jpg" "b/Figures/L\303\266ffler et al. - 2024 - Assessment of process water quality (depending on the presence of process water systems) in car wash/table_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..efcffc4798fce472047c4dc28d95a7054e17c7e8 --- /dev/null +++ "b/Figures/L\303\266ffler et al. - 2024 - Assessment of process water quality (depending on the presence of process water systems) in car wash/table_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f3454d8769be79e35bca4a81d16b85c9357dea66394ebe4ddc65c7f02a9ea87e +size 38742 diff --git "a/Figures/L\303\266ffler et al. - 2024 - 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(depending on the presence of process water systems) in car wash/table_03.txt" "b/Figures/L\303\266ffler et al. - 2024 - Assessment of process water quality (depending on the presence of process water systems) in car wash/table_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..9ef2dc06164217c3117b343f20cc9161f896e28c --- /dev/null +++ "b/Figures/L\303\266ffler et al. - 2024 - Assessment of process water quality (depending on the presence of process water systems) in car wash/table_03.txt" @@ -0,0 +1 @@ +Data of facilities with biological treatment from data set a (survey data) diff --git "a/Figures/L\303\266ffler et al. - 2024 - Assessment of process water quality (depending on the presence of process water systems) in car wash/table_04.jpg" "b/Figures/L\303\266ffler et al. - 2024 - Assessment of process water quality (depending on the presence of process water systems) in car wash/table_04.jpg" new file mode 100644 index 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systems) in car wash/table_06.txt" @@ -0,0 +1 @@ +Determined values of chosen parameters in process water from Dinslaken after replenishment of the facility with washing water diff --git a/Figures/M. et al. - 2024 - Effect of climate change on soil erosion rate in a tropical Indian catchment/figure_01.jpg b/Figures/M. et al. - 2024 - Effect of climate change on soil erosion rate in a tropical Indian catchment/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..963c1b2bab2c5ba1ae7321596751c595b693f3fb --- /dev/null +++ b/Figures/M. et al. - 2024 - Effect of climate change on soil erosion rate in a tropical Indian catchment/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b841910ed63b294e0650db9b33d23ab8abcfa1affbd2b8cca68b5576f579480b +size 60844 diff --git a/Figures/M. et al. - 2024 - Effect of climate change on soil erosion rate in a tropical Indian catchment/figure_01.txt b/Figures/M. et al. - 2024 - Effect of climate change on soil erosion rate in a tropical Indian catchment/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f97aba72e6c333be80a0b177aa0a308e20d9b69 --- /dev/null +++ b/Figures/M. et al. - 2024 - Effect of climate change on soil erosion rate in a tropical Indian catchment/figure_01.txt @@ -0,0 +1 @@ +Location map of the Bhadra catchment. diff --git a/Figures/M. et al. - 2024 - Effect of climate change on soil erosion rate in a tropical Indian catchment/figure_02.jpg b/Figures/M. et al. - 2024 - Effect of climate change on soil erosion rate in a tropical Indian catchment/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..89731811bf0594bd59dd7eb8d863d3485d6e2586 --- /dev/null +++ b/Figures/M. et al. - 2024 - Effect of climate change on soil erosion rate in a tropical Indian catchment/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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2024 - Temporal dynamics of water level and water sources analyses of karst tidal springs in Guilin, China/table_02.txt b/Figures/Ma et al. - 2024 - Temporal dynamics of water level and water sources analyses of karst tidal springs in Guilin, China/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..4433a446c6665a27ccfa61430ae79bcf89a501ac --- /dev/null +++ b/Figures/Ma et al. - 2024 - Temporal dynamics of water level and water sources analyses of karst tidal springs in Guilin, China/table_02.txt @@ -0,0 +1 @@ +Proportions of peak area, annual average flow, and total runoff diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_01.jpg b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8b2b0dc653c82ea763b90706b96ac6ade6b99284 --- /dev/null +++ b/Figures/Maaliou et al. - 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(1) Tank of 600 l; (2) soil tray with artificial rill; (3) measuring stand; (4) mixture (water–sediment) collector; (5) metallic portico; (6) excess water drainage; (7) barrel for evacuation of excess waters; (8) sprinkler unit (nozzle). diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_02.jpg b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c212c6e30c9eee9878344ad30f2151bd344c8b52 --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:620da63b59c8221a76e9451c9cecaee7b20516aadbbe656fc491d6b1dab25139 +size 25061 diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_02.txt b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..c514dcdb8ea094ee43a2678fcd133f976442119d --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_02.txt @@ -0,0 +1 @@ +Front view of the rill. diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_03.jpg b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fd726b124e9aed4925eac35130207289ede91cc1 --- /dev/null +++ b/Figures/Maaliou et al. - 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2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8dd6a24b0ca5ec3f6799c2905d6dea8f4237ff3b --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:64832247f0feca4cff983eca0437f09470221968f967765c1e7362be200fe82b +size 105939 diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_04.txt b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0b4ffab80e596afba2219145263f896bf28fb6f --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_04.txt @@ -0,0 +1 @@ +Particle size distribution curve. diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_05.jpg b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..73448177141c2eec93459571f80731e68f12b39e --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1b5f39f28f38813d87b48300151d8d16cd1548b0f548e12db484583b0f3a6e93 +size 64476 diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_05.txt b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6e1802d20b1adf9c00f0c2cfd93c38eea2cd821 --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_05.txt @@ -0,0 +1 @@ +Reynolds number distribution with different slope values and rainfall intensity. (3%; 15%): the 3% slope is for the rill and the 15% slope is for the interrill banks. (3%; 22.5%): the 3% slope is for the rill and the 22.5% slope is for the interrill banks. (5%; 15%): the 5% slope is for the rill and the 15% slope is for the interrill banks. (5%; 22.5%): the 5% slope is for the rill and the 22.5% slope is for the interrill banks. diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_06.jpg b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7d3bc00e8abf3935cd07554edb922193271917c5 --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:35742110428b6ae38c0a547d95b9c1efc8f4620f45f3be9b9e461d7dfcbca01a +size 58773 diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_06.txt b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fedd186267844695f33b2212b628ef4dabd4f82 --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_06.txt @@ -0,0 +1 @@ +The rainfall intensity and overland flow power relationship. (The 3 and 5% slopes are for the rill and [15 and 22.5%] slopes are for the interrill banks). diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_07.jpg b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fc789b53525d321765054a3629b39fd0fd791caa --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2cea8d751016623290c4d20d83f828c05505457cd3fac25fb733a5aae7be6314 +size 56107 diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_07.txt b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8f8c213eed35dfdb8e5229560a6e9acabacf26c --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_07.txt @@ -0,0 +1 @@ +The rainfall intensity and flow depth in the rill relationship. (The 3 and 5% slopes are for the rill and [15 and 22.5%] slopes are for the interrill banks.) diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_08.jpg b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cf9f03777ba6774a80dd70f2aff77f33a6d03b0e --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:03d2444f55e174d87a634bba2fc9f3f873694b24d25aecb83d1d11f56de4ca3c +size 64416 diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_08.txt b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a56f143827b1927690d9df547472036af9d0928 --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_08.txt @@ -0,0 +1 @@ +The overland flow power and the flow depth relationship. (The 3 and 5% slopes are for the rill and [5 and 22.5%] slopes are for the interrill banks). diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_09.jpg b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8fda6e679c0ccbe1f1733ad22a57e51e79a85033 --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3a91da92c0fa2027cb53e5dbbc5ce3e6aca41e7a4daa48a724697eae3e643fe8 +size 66865 diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_09.txt b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..db91335e87b0c4cff8cb35600e5d1b476c229062 --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_09.txt @@ -0,0 +1 @@ +The theoretical flow discharge and the flow depth relationship. (The 3 and 5% slopes are for the rill and [15% and 22.5%] slopes are for the interrill banks.) diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_10.jpg b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..39bfdf6e6a6442b760001056aecd6ec6a549548c --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e637e38668a00dcc86ec3855d46cfef8f35328ee97c5a00928c101644bd6018 +size 64508 diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_10.txt b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..660970928837346840c192986e83d971ba6c53ca --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_10.txt @@ -0,0 +1 @@ +The theoretical flow discharge and the overland flow power relationship. (The 3 and 5% slopes are for the rill and [15 and 22.5%] slopes are for the interrill banks). diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_11.jpg b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_11.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2c55318e70e7d7129d181c25b3595213565fc425 --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_11.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5ba20a805d71e748c618fab79a5e400a6e03b009fb146fb652345ff40f4f7f61 +size 56689 diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_11.txt b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_11.txt new file mode 100644 index 0000000000000000000000000000000000000000..10bb38a2a1058b334e36c095605e1b72a4cf4016 --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_11.txt @@ -0,0 +1 @@ +The sediment concentration and overland flow power relationship. (The 3 and 5% slopes are for the rill and [15 and 22.5%] slopes are for the interrill banks). diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_12.jpg b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_12.jpg new file mode 100644 index 0000000000000000000000000000000000000000..999ff2be63a768564f14233208669d92043fcb0b --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_12.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:36939eeb43efeac11a0fb046deca3af17f0c43ad2b22503bab8661a1ecc5b9f3 +size 57400 diff --git a/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_12.txt b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_12.txt new file mode 100644 index 0000000000000000000000000000000000000000..83466f4b497437bacb07ec9cc956be982a9df720 --- /dev/null +++ b/Figures/Maaliou et al. - 2024 - Investigation of hydraulic parameters influencing interrill erosion under simulated rainfall conditi/figure_12.txt @@ -0,0 +1 @@ +The sediment concentration and soil erodibility relationship. 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"(cases/100,000/year)", + "bbox_points": [ + 51.48, + 154.38, + 126.43, + 162.39 + ], + "words": [ + { + "text": "(cases/100,000/year)", + "bbox_points": [ + 51.48, + 154.38, + 126.43, + 162.39 + ] + } + ] + }, + { + "text": "Median incidence rate per town 76.2 26.4 14.7 31.2 ,0.01", + "bbox_points": [ + 43.43, + 168.1, + 489.82, + 176.4 + ], + "words": [ + { + "text": "Median", + "bbox_points": [ + 43.43, + 168.38, + 70.98, + 176.4 + ] + }, + { + "text": "incidence", + "bbox_points": [ + 73.36, + 168.38, + 107.98, + 176.4 + ] + }, + { + "text": "rate", + "bbox_points": [ + 110.38, + 168.38, + 123.93, + 176.4 + ] + }, + { + "text": "per", + "bbox_points": [ + 126.31, + 168.38, + 138.05, + 176.4 + ] + }, + { + "text": "town", + "bbox_points": [ + 140.43, + 168.38, + 158.47, + 176.4 + ] + }, + { + "text": "76.2", + "bbox_points": [ + 171.33, + 168.38, + 186.58, + 176.4 + ] + }, + { + "text": "26.4", + "bbox_points": [ + 243.67, + 168.38, + 258.92, + 176.4 + ] + }, + { + "text": "14.7", + 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197.44, + 168.93, + 204.77 + ], + "words": [ + { + "text": "aData", + "bbox_points": [ + 43.43, + 197.44, + 58.29, + 204.77 + ] + }, + { + "text": "from", + "bbox_points": [ + 60.15, + 198.77, + 72.95, + 204.77 + ] + }, + { + "text": "Maine", + "bbox_points": [ + 74.89, + 198.77, + 91.44, + 204.77 + ] + }, + { + "text": "Cancer", + "bbox_points": [ + 93.43, + 198.77, + 112.47, + 204.77 + ] + }, + { + "text": "Registry", + "bbox_points": [ + 114.46, + 198.77, + 135.88, + 204.77 + ] + }, + { + "text": "1995", + "bbox_points": [ + 139.46, + 198.77, + 152.71, + 204.77 + ] + }, + { + "text": "2020", + "bbox_points": [ + 155.68, + 198.77, + 168.93, + 204.77 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/MacRae et al. - 2024 - Cancer incidence associations with drinking water arsenic levels and disinfection methods in Maine,/table_01.txt b/Figures/MacRae et al. - 2024 - Cancer incidence associations with drinking water arsenic levels and disinfection methods in Maine,/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..7812018f2a87ca594d40244186d51646047e7e71 --- /dev/null +++ b/Figures/MacRae et al. - 2024 - Cancer incidence associations with drinking water arsenic levels and disinfection methods in Maine,/table_01.txt @@ -0,0 +1 @@ +Summary of MCR cancer data diff --git a/Figures/MacRae et al. - 2024 - Cancer incidence associations with drinking water arsenic levels and disinfection methods in Maine,/table_02.jpg b/Figures/MacRae et al. - 2024 - Cancer incidence associations with drinking water arsenic levels and disinfection methods in Maine,/table_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7276720c093f11ed8ccabc96ceb9cadc181fe652 --- /dev/null +++ b/Figures/MacRae et al. - 2024 - Cancer incidence associations with drinking water arsenic levels and disinfection methods in Maine,/table_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1255fb3f988592355acd2a5f1d1823977380f4b35bbe442caa0a4981215b34a3 +size 74100 diff --git a/Figures/MacRae et al. - 2024 - Cancer incidence associations with drinking water arsenic levels and disinfection methods in Maine,/table_02.json b/Figures/MacRae et al. - 2024 - Cancer incidence associations with drinking water arsenic levels and disinfection methods in Maine,/table_02.json new file mode 100644 index 0000000000000000000000000000000000000000..158c6f830acff6d4a1284545137c8eb697238808 --- /dev/null +++ b/Figures/MacRae et al. - 2024 - Cancer incidence associations with drinking water arsenic levels and disinfection methods in Maine,/table_02.json @@ -0,0 +1,1335 @@ +{ + "kind": "table", + "label": "table_02", + "number": 2, + "caption": "Comparison of mean cancer incidence with disinfection type, additional oxidant use, and source type", + "page": 7, + "table_bbox_points": [ + 40.43, + 85.16, + 548.44, + 288.5 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 450.17, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 14, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Cancer type", + "bbox_points": [ + 167.24, + 105.8, + 208.94, + 113.8 + ], + "words": [ + { + "text": "Cancer", + "bbox_points": [ + 167.24, + 105.8, + 192.13, + 113.8 + ] + }, + { + "text": "type", + "bbox_points": [ + 194.46, + 105.8, + 208.94, + 113.8 + ] + } + ] + }, + { + "text": "Incidence rate (cases/100,000/ Lung and Urinary and Kidney and Melanoma of the Other non-epithelial", + "bbox_points": [ + 43.43, + 119.91, + 537.21, + 127.92 + ], + "words": [ + { + "text": "Incidence", + "bbox_points": [ + 43.43, + 119.91, + 78.98, + 127.92 + ] + }, + { + "text": "rate", + "bbox_points": [ + 81.3, + 119.91, + 94.9, + 127.92 + ] + }, + { + "text": "(cases/100,000/", + "bbox_points": [ + 97.28, + 119.91, + 154.37, + 127.92 + ] + }, + { + "text": "Lung", + "bbox_points": [ + 167.24, + 119.91, + 185.89, + 127.92 + ] + }, + { + "text": "and", + "bbox_points": [ + 188.28, + 119.91, + 201.76, + 127.92 + ] + }, + { + "text": "Urinary", + "bbox_points": [ + 240.26, + 119.91, + 268.14, + 127.92 + ] + }, + { + "text": "and", + "bbox_points": [ + 270.37, + 119.91, + 283.85, + 127.92 + ] + }, + { + "text": "Kidney", + "bbox_points": [ + 315.27, + 119.91, + 340.7, + 127.92 + ] + }, + { + "text": "and", + "bbox_points": [ + 342.88, + 119.91, + 356.36, + 127.92 + ] + }, + { + "text": "Melanoma", + "bbox_points": [ + 382.39, + 119.91, + 421.02, + 127.92 + ] + }, + { + "text": "of", + "bbox_points": [ + 423.44, + 119.91, + 430.51, + 127.92 + ] + }, + { + "text": "the", + "bbox_points": [ + 432.85, + 119.91, + 444.17, + 127.92 + ] + }, + { + "text": "Other", + "bbox_points": [ + 464.2, + 119.91, + 485.42, + 127.92 + ] + }, + { + "text": "non-epithelial", + "bbox_points": [ + 487.78, + 119.91, + 537.21, + 127.92 + ] + } + ] + }, + { + "text": "year) bronchus bladder pelvis skin skin", + "bbox_points": [ + 51.48, + 130.4, + 487.17, + 138.41 + ], + "words": [ + { + "text": "year)", + "bbox_points": [ + 51.48, + 130.4, + 69.34, + 138.41 + ] + }, + { + "text": "bronchus", + "bbox_points": [ + 175.24, + 130.4, + 208.63, + 138.41 + ] + }, + { + "text": "bladder", + "bbox_points": [ + 248.31, + 130.4, + 275.53, + 138.41 + ] + }, + { + "text": "pelvis", + "bbox_points": [ + 323.26, + 130.4, + 343.98, + 138.41 + ] + }, + { + "text": "skin", + "bbox_points": [ + 390.38, + 130.4, + 405.36, + 138.41 + ] + }, + { + "text": "skin", + "bbox_points": [ + 472.19, + 130.4, + 487.17, + 138.41 + ] + } + ] + }, + { + "text": "Disinfection type", + "bbox_points": [ + 167.24, + 144.3, + 227.98, + 152.3 + ], + "words": [ + { + "text": "Disinfection", + "bbox_points": [ + 167.24, + 144.3, + 211.1, + 152.3 + ] + }, + { + "text": "type", + "bbox_points": [ + 213.5, + 144.3, + 227.98, + 152.3 + ] + } + ] + }, + { + "text": "No disinfection (n ¼ 308) 81.1 25.8a 14.3 32.2c 1.1e", + "bbox_points": [ + 43.43, + 156.87, + 477.97, + 166.42 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 43.43, + 158.4, + 54.75, + 166.42 + ] + }, + { + "text": "disinfection", + "bbox_points": [ + 57.15, + 158.4, + 99.08, + 166.42 + ] + }, + { + "text": "(n", + "bbox_points": [ + 101.48, + 158.3, + 109.0, + 166.42 + ] + }, + { + "text": "¼", + "bbox_points": [ + 110.55, + 158.12, + 116.71, + 166.12 + ] + }, + { + "text": "308)", + "bbox_points": [ + 118.26, + 158.4, + 134.25, + 166.42 + ] + }, + { + "text": "81.1", + "bbox_points": [ + 167.24, + 158.4, + 182.49, + 166.42 + ] + }, + { + "text": "25.8a", + "bbox_points": [ + 240.26, + 156.87, + 258.63, + 166.42 + ] + }, + { + "text": "14.3", + "bbox_points": [ + 315.27, + 158.4, + 330.52, + 166.42 + ] + }, + { + "text": "32.2c", + "bbox_points": [ + 382.39, + 156.87, + 400.59, + 166.42 + ] + }, + { + "text": "1.1e", + "bbox_points": [ + 464.2, + 156.87, + 477.97, + 166.42 + ] + } + ] + }, + { + "text": "Chlorine (n ¼ 167) 88.0 31.9b 17.0 36.1c 2.3f", + "bbox_points": [ + 43.43, + 170.87, + 476.85, + 180.42 + ], + "words": [ + { + "text": "Chlorine", + "bbox_points": [ + 43.43, + 172.41, + 75.05, + 180.42 + ] + }, + { + "text": "(n", + "bbox_points": [ + 77.44, + 172.3, + 84.91, + 180.42 + ] + }, + { + "text": "¼", + "bbox_points": [ + 86.46, + 172.13, + 92.62, + 180.13 + ] + }, + { + "text": "167)", + "bbox_points": [ + 94.22, + 172.41, + 110.22, + 180.42 + ] + }, + { + "text": "88.0", + "bbox_points": [ + 167.24, + 172.41, + 182.49, + 180.42 + ] + }, + { + "text": "31.9b", + "bbox_points": [ + 240.26, + 170.87, + 258.83, + 180.42 + ] + }, + { + "text": "17.0", + "bbox_points": [ + 315.27, + 172.41, + 330.52, + 180.42 + ] + }, + { + "text": "36.1c", + "bbox_points": [ + 382.39, + 170.87, + 400.59, + 180.42 + ] + }, + { + "text": "2.3f", + "bbox_points": [ + 464.2, + 170.87, + 476.85, + 180.42 + ] + } + ] + }, + { + "text": "Chloramine (n ¼ 44) 75.2 30.1ab 16.7 47.7d 2.4f", + "bbox_points": [ + 43.43, + 184.88, + 476.85, + 194.37 + ], + "words": [ + { + "text": "Chloramine", + "bbox_points": [ + 43.43, + 186.35, + 86.01, + 194.37 + ] + }, + { + "text": "(n", + "bbox_points": [ + 88.38, + 186.25, + 95.85, + 194.37 + ] + }, + { + "text": "¼", + "bbox_points": [ + 97.45, + 186.07, + 103.61, + 194.07 + ] + }, + { + "text": "44)", + "bbox_points": [ + 105.17, + 186.35, + 116.74, + 194.37 + ] + }, + { + "text": "75.2", + "bbox_points": [ + 167.24, + 186.35, + 182.49, + 194.37 + ] + }, + { + "text": "30.1ab", + "bbox_points": [ + 240.26, + 184.88, + 261.95, + 194.37 + ] + }, + { + "text": "16.7", + "bbox_points": [ + 315.27, + 186.35, + 330.52, + 194.37 + ] + }, + { + "text": "47.7d", + "bbox_points": [ + 382.39, + 184.88, + 401.02, + 194.37 + ] + }, + { + "text": "2.4f", + "bbox_points": [ + 464.2, + 184.88, + 476.85, + 194.37 + ] + } + ] + }, + { + "text": "Use of additional oxidant", + "bbox_points": [ + 167.24, + 200.25, + 259.14, + 208.25 + ], + "words": [ + { + "text": "Use", + "bbox_points": [ + 167.24, + 200.25, + 180.56, + 208.25 + ] + }, + { + "text": "of", + "bbox_points": [ + 182.95, + 200.25, + 189.86, + 208.25 + ] + }, + { + "text": "additional", + "bbox_points": [ + 192.25, + 200.25, + 229.37, + 208.25 + ] + }, + { + "text": "oxidant", + "bbox_points": [ + 231.76, + 200.25, + 259.14, + 208.25 + ] + } + ] + }, + { + "text": "No other oxidant (n ¼ 489) 83.4 28.1 15.3 34.0a 1.59a", + "bbox_points": [ + 43.43, + 212.88, + 482.52, + 222.37 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 43.43, + 214.36, + 54.75, + 222.37 + ] + }, + { + "text": "other", + "bbox_points": [ + 57.15, + 214.36, + 76.2, + 222.37 + ] + }, + { + "text": "oxidant", + "bbox_points": [ + 78.41, + 214.36, + 105.53, + 222.37 + ] + }, + { + "text": "(n", + "bbox_points": [ + 108.23, + 214.26, + 115.69, + 222.37 + ] + }, + { + "text": "¼", + "bbox_points": [ + 117.3, + 214.08, + 123.46, + 222.08 + ] + }, + { + "text": "489)", + "bbox_points": [ + 125.01, + 214.36, + 141.0, + 222.37 + ] + }, + { + "text": "83.4", + "bbox_points": [ + 167.24, + 214.36, + 182.49, + 222.37 + ] + }, + { + "text": "28.1", + "bbox_points": [ + 240.26, + 214.36, + 255.51, + 222.37 + ] + }, + { + "text": "15.3", + "bbox_points": [ + 315.27, + 214.36, + 330.52, + 222.37 + ] + }, + { + "text": "34.0a", + "bbox_points": [ + 382.39, + 212.88, + 400.71, + 222.37 + ] + }, + { + "text": "1.59a", + "bbox_points": [ + 464.2, + 212.88, + 482.52, + 222.37 + ] + } + ] + }, + { + "text": "UV and/or ozone (n ¼ 30) 73.1 28.2 16.3 48.0a 1.65a", + "bbox_points": [ + 43.43, + 226.89, + 482.52, + 236.38 + ], + "words": [ + { + "text": "UV", + "bbox_points": [ + 43.43, + 228.36, + 55.75, + 236.38 + ] + }, + { + "text": "and/or", + "bbox_points": [ + 58.0, + 228.36, + 82.79, + 236.38 + ] + }, + { + "text": "ozone", + "bbox_points": [ + 84.98, + 228.36, + 106.88, + 236.38 + ] + }, + { + "text": "(n", + "bbox_points": [ + 109.19, + 228.26, + 116.71, + 236.38 + ] + }, + { + "text": "¼", + "bbox_points": [ + 118.26, + 228.08, + 124.42, + 236.08 + ] + }, + { + "text": "30)", + "bbox_points": [ + 125.97, + 228.36, + 137.55, + 236.38 + ] + }, + { + "text": "73.1", + "bbox_points": [ + 167.24, + 228.36, + 182.49, + 236.38 + ] + }, + { + "text": "28.2", + "bbox_points": [ + 240.26, + 228.36, + 255.51, + 236.38 + ] + }, + { + "text": "16.3", + "bbox_points": [ + 315.27, + 228.36, + 330.52, + 236.38 + ] + }, + { + "text": "48.0a", + "bbox_points": [ + 382.39, + 226.89, + 400.71, + 236.38 + ] + }, + { + "text": "1.65a", + "bbox_points": [ + 464.2, + 226.89, + 482.52, + 236.38 + ] + } + ] + }, + { + "text": "Source water type", + "bbox_points": [ + 167.24, + 242.26, + 229.63, + 250.26 + ], + "words": [ + { + "text": "Source", + "bbox_points": [ + 167.24, + 242.26, + 191.12, + 250.26 + ] + }, + { + "text": "water", + "bbox_points": [ + 193.32, + 242.26, + 212.76, + 250.26 + ] + }, + { + "text": "type", + "bbox_points": [ + 215.15, + 242.26, + 229.63, + 250.26 + ] + } + ] + }, + { + "text": "Ground water (n ¼ 443) 83.0 27.5a 15.1a 32.7a 1.5a", + "bbox_points": [ + 43.43, + 254.89, + 478.09, + 264.38 + ], + "words": [ + { + "text": "Ground", + "bbox_points": [ + 43.43, + 256.37, + 71.65, + 264.38 + ] + }, + { + "text": "water", + "bbox_points": [ + 73.98, + 256.37, + 93.87, + 264.38 + ] + }, + { + "text": "(n", + "bbox_points": [ + 96.26, + 256.27, + 103.73, + 264.38 + ] + }, + { + "text": "¼", + "bbox_points": [ + 105.34, + 256.09, + 111.5, + 264.09 + ] + }, + { + "text": "443)", + "bbox_points": [ + 113.05, + 256.37, + 129.04, + 264.38 + ] + }, + { + "text": "83.0", + "bbox_points": [ + 167.24, + 256.37, + 182.49, + 264.38 + ] + }, + { + "text": "27.5a", + "bbox_points": [ + 240.26, + 254.89, + 258.63, + 264.38 + ] + }, + { + "text": "15.1a", + "bbox_points": [ + 315.27, + 254.89, + 333.58, + 264.38 + ] + }, + { + "text": "32.7a", + "bbox_points": [ + 382.39, + 254.89, + 400.71, + 264.38 + ] + }, + { + "text": "1.5a", + "bbox_points": [ + 464.2, + 254.89, + 478.09, + 264.38 + ] + } + ] + }, + { + "text": "Surface water (n ¼ 76) 81.7 31.6a 17.0a 46.6a 2.1a", + "bbox_points": [ + 43.43, + 268.84, + 478.09, + 278.39 + ], + "words": [ + { + "text": "Surface", + "bbox_points": [ + 43.43, + 270.37, + 70.36, + 278.39 + ] + }, + { + "text": "water", + "bbox_points": [ + 72.62, + 270.37, + 92.45, + 278.39 + ] + }, + { + "text": "(n", + "bbox_points": [ + 94.85, + 270.27, + 102.31, + 278.39 + ] + }, + { + "text": "¼", + "bbox_points": [ + 103.92, + 270.09, + 110.08, + 278.09 + ] + }, + { + "text": "76)", + "bbox_points": [ + 111.63, + 270.37, + 123.2, + 278.39 + ] + }, + { + "text": "81.7", + "bbox_points": [ + 167.24, + 270.37, + 182.49, + 278.39 + ] + }, + { + "text": "31.6a", + "bbox_points": [ + 240.26, + 268.84, + 258.63, + 278.39 + ] + }, + { + "text": "17.0a", + "bbox_points": [ + 315.27, + 268.84, + 333.58, + 278.39 + ] + }, + { + "text": "46.6a", + "bbox_points": [ + 382.39, + 268.84, + 400.71, + 278.39 + ] + }, + { + "text": 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composite kinetics and isotherms study/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c0608d3372a860e496f35a4155c6479debc0d1f9 --- /dev/null +++ b/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d69a85a00db276e9b6c7f4cb216a7e7fd3a129d50ff878bc05e23d4920755267 +size 54954 diff --git a/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_04.txt b/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..e877c314c872745018d0839bdc13f03a1a65b041 --- /dev/null +++ b/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_04.txt @@ -0,0 +1 @@ +Adsorption isotherms of MB onto (a) SBE@C (500 °C) at 25, 35, and 45 °C; (b) SBE and SBE@C (500 °C) at 45 °C. diff --git a/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_05.jpg b/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..dcb84d89296429e6d68b67b684e26b2739ed38dd --- /dev/null +++ b/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e67309d9108761fdd9b61d1a26f2d8a86f8c2d5e0e7bc10cf8f937115b8ce0c9 +size 113008 diff --git a/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_05.txt b/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ac32c89b0bd8e0280a37eae31c20de7eead8eb8 --- /dev/null +++ b/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_05.txt @@ -0,0 +1 @@ +Effects of (a) coexisting cations and (b) ionic strength (Naþ) for MB adsorption by SBE and SBE@C (500 °C) (T ¼ 25 °C, C0 ¼ 10 mg/L, dosage ¼ 0.6 g/L, and V ¼ 100 mL). diff --git a/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_06.jpg b/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon composite kinetics and isotherms study/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b5d9ecc85232584e6ce59710661d696adcb49e50 --- /dev/null +++ b/Figures/Madhau et al. - 2024 - Adsorption of methylene blue onto claycarbon 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a/Figures/Madhav and Gilmore - 2024 - Identification of oil contamination in process water using fluorescence excitation emission matrix (/table_01.txt b/Figures/Madhav and Gilmore - 2024 - Identification of oil contamination in process water using fluorescence excitation emission matrix (/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..37f2864cdb0fd54f5c909432327dacb0ceae52cb --- /dev/null +++ b/Figures/Madhav and Gilmore - 2024 - Identification of oil contamination in process water using fluorescence excitation emission matrix (/table_01.txt @@ -0,0 +1 @@ +Preparation of samplesa diff --git a/Figures/Madhav and Gilmore - 2024 - Identification of oil contamination in process water using fluorescence excitation emission matrix (/table_02.jpg b/Figures/Madhav and Gilmore - 2024 - Identification of oil contamination in process water using fluorescence excitation emission matrix (/table_02.jpg new file mode 100644 index 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- 2024 - Identification of oil contamination in process water using fluorescence excitation emission matrix (/table_05.json @@ -0,0 +1,3573 @@ +{ + "kind": "table", + "label": "table_05", + "number": 5, + "caption": "Results for samples analysed for DOC, BTEX and naphthalene", + "page": 10, + "table_bbox_points": [ + 61.01, + 85.16, + 569.02, + 469.01 + ], + "caption_bbox_points": [ + 64.01, + 76.93, + 324.71, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 26, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Sample DOC (ppm) BTEX (ppb) Naphthalene (ppb) Total PAHs (ppb)", + "bbox_points": [ + 64.01, + 99.72, + 566.0, + 105.72 + ], + "words": [ + { + "text": "Sample", + "bbox_points": [ + 64.01, + 99.72, + 86.99, + 105.72 + ] + }, + { + "text": "DOC", + "bbox_points": [ + 332.28, + 99.72, + 345.58, + 105.72 + ] + }, + { + "text": "(ppm)", 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Station A: DWD recovery þ 30 mL crude oil stock 23.5 81.36 189.93 271.29", + "bbox_points": [ + 64.01, + 142.59, + 538.23, + 150.88 + ], + "words": [ + { + "text": "3.", + "bbox_points": [ + 64.01, + 142.87, + 70.42, + 150.88 + ] + }, + { + "text": "Station", + "bbox_points": [ + 72.79, + 142.87, + 98.3, + 150.88 + ] + }, + { + "text": "A:", + "bbox_points": [ + 100.69, + 142.87, + 109.01, + 150.88 + ] + }, + { + "text": "DWD", + "bbox_points": [ + 111.4, + 142.87, + 132.88, + 150.88 + ] + }, + { + "text": "recovery", + "bbox_points": [ + 135.21, + 142.87, + 165.76, + 150.88 + ] + }, + { + "text": "þ", + "bbox_points": [ + 167.3, + 142.59, + 173.46, + 150.59 + ] + }, + { + "text": "30", + "bbox_points": [ + 175.01, + 142.87, + 183.84, + 150.88 + ] + }, + { + "text": "mL", + "bbox_points": [ + 185.84, + 142.87, + 198.17, + 150.88 + ] + }, + { + "text": "crude", + "bbox_points": [ + 200.52, + 142.87, + 220.83, + 150.88 + ] + }, + { + "text": "oil", + "bbox_points": [ + 223.2, + 142.87, + 232.43, + 150.88 + ] + }, + { + "text": "stock", + "bbox_points": [ + 234.82, + 142.87, + 253.67, + 150.88 + ] + }, + { + "text": "23.5", + "bbox_points": [ + 332.28, + 142.87, + 347.53, + 150.88 + ] + }, + { + "text": "81.36", + "bbox_points": [ + 384.49, + 142.87, + 404.15, + 150.88 + ] + }, + { + "text": "189.93", + "bbox_points": [ + 437.1, + 142.87, + 461.18, + 150.88 + ] + }, + { + "text": "271.29", + "bbox_points": [ + 514.15, + 142.87, + 538.23, + 150.88 + ] + } + ] + }, + { + "text": "4. Station A: Mine water recovery þ 5 mL crude oil stock 13.2 16.22 37.4 53.62", + "bbox_points": [ + 64.01, + 156.59, + 533.81, + 164.89 + ], + "words": [ + { + "text": "4.", + "bbox_points": [ + 64.01, + 156.87, + 70.42, + 164.89 + ] + }, + { + "text": "Station", + "bbox_points": [ + 72.79, + 156.87, + 98.3, + 164.89 + ] + }, + { + "text": "A:", + "bbox_points": [ + 100.69, + 156.87, + 109.01, + 164.89 + ] + }, + { + "text": "Mine", + "bbox_points": [ + 111.4, + 156.87, + 130.22, + 164.89 + ] + }, + { + "text": "water", + "bbox_points": [ + 132.44, + 156.87, + 152.26, + 164.89 + ] + }, + { + "text": "recovery", + "bbox_points": [ + 154.66, + 156.87, + 185.21, + 164.89 + ] + }, + { + "text": "þ", + "bbox_points": [ + 186.75, + 156.59, + 192.91, + 164.59 + ] + }, + { + "text": "5", + "bbox_points": [ + 194.46, + 156.87, + 198.87, + 164.89 + ] + }, + { + "text": "mL", + "bbox_points": [ + 200.86, + 156.87, + 213.19, + 164.89 + ] + }, + { + "text": "crude", + "bbox_points": [ + 215.55, + 156.87, + 235.86, + 164.89 + ] + }, + { + "text": "oil", + "bbox_points": [ + 238.22, + 156.87, + 247.46, + 164.89 + ] + }, + { + "text": "stock", + "bbox_points": [ + 249.85, + 156.87, + 268.75, + 164.89 + ] + }, + { + "text": "13.2", + "bbox_points": [ + 332.28, + 156.87, + 347.53, + 164.89 + ] + }, + { + "text": "16.22", + "bbox_points": [ + 384.49, + 156.87, + 404.15, + 164.89 + ] + }, + { + "text": "37.4", + "bbox_points": [ + 437.1, + 156.87, + 452.35, + 164.89 + ] + }, + { + "text": "53.62", + "bbox_points": [ + 514.15, + 156.87, + 533.81, + 164.89 + ] + } + ] + }, + { + "text": "5. Station A: Mine water recovery þ10 mL crude oil stock 14.8 25.81 58.6 84.41", + "bbox_points": [ + 64.01, + 170.6, + 533.81, + 178.89 + ], + "words": [ + { + "text": "5.", + "bbox_points": [ + 64.01, + 170.88, + 70.42, + 178.89 + ] + }, + { + "text": "Station", + "bbox_points": [ + 72.79, + 170.88, + 98.3, + 178.89 + ] + }, + { + "text": "A:", + "bbox_points": [ + 100.69, + 170.88, + 109.01, + 178.89 + ] + }, + { + "text": "Mine", + "bbox_points": [ + 111.4, + 170.88, + 130.22, + 178.89 + ] + }, + { + "text": "water", + "bbox_points": [ + 132.44, + 170.88, + 152.26, + 178.89 + ] + }, + { + "text": "recovery", + "bbox_points": [ + 154.66, + 170.88, + 185.21, + 178.89 + ] + }, + { + "text": "þ10", + "bbox_points": [ + 187.54, + 170.6, + 202.55, + 178.89 + ] + }, + { + "text": "mL", + "bbox_points": [ + 204.49, + 170.88, + 216.82, + 178.89 + ] + }, + { + "text": "crude", + "bbox_points": [ + 219.17, + 170.88, + 239.49, + 178.89 + ] + }, + { + "text": "oil", + "bbox_points": [ + 241.85, + 170.88, + 251.08, + 178.89 + ] + }, + { + "text": "stock", + "bbox_points": [ + 253.47, + 170.88, + 272.38, + 178.89 + ] + }, + { + "text": "14.8", + "bbox_points": [ + 332.28, + 170.88, + 347.53, + 178.89 + ] + }, + { + "text": "25.81", + "bbox_points": [ + 384.49, + 170.88, + 404.15, + 178.89 + ] + }, + { + "text": "58.6", + "bbox_points": [ + 437.1, + 170.88, + 452.35, + 178.89 + ] + }, + { + "text": "84.41", + "bbox_points": [ + 514.15, + 170.88, + 533.81, + 178.89 + ] + } + ] + }, + { + "text": "6. Station A: Mine water recovery þ 30 mL crude oil stock 14.0 72.81 185.92 258.73", + "bbox_points": [ + 64.01, + 184.6, + 538.23, + 192.89 + ], + "words": [ + { + "text": "6.", + "bbox_points": [ + 64.01, + 184.88, + 70.42, + 192.89 + ] + }, + { + "text": "Station", + "bbox_points": [ + 72.79, + 184.88, + 98.3, + 192.89 + ] + }, + { + "text": "A:", + "bbox_points": [ + 100.69, + 184.88, + 109.01, + 192.89 + ] + }, + { + "text": "Mine", + "bbox_points": [ + 111.4, + 184.88, + 130.22, + 192.89 + ] + }, + { + "text": "water", + "bbox_points": [ + 132.44, + 184.88, + 152.26, + 192.89 + ] + }, + { + "text": "recovery", + "bbox_points": [ + 154.66, + 184.88, + 185.21, + 192.89 + ] + }, + { + "text": "þ", + "bbox_points": [ + 186.75, + 184.6, + 192.91, + 192.6 + ] + }, + { + "text": "30", + "bbox_points": [ + 194.46, + 184.88, + 203.29, + 192.89 + ] + }, + { + "text": "mL", + "bbox_points": [ + 205.28, + 184.88, + 217.61, + 192.89 + ] + }, + { + "text": "crude", + "bbox_points": [ + 219.97, + 184.88, + 240.28, + 192.89 + ] + }, + { + "text": "oil", + "bbox_points": [ + 242.65, + 184.88, + 251.88, + 192.89 + ] + }, + { + "text": "stock", + "bbox_points": [ + 254.27, + 184.88, + 273.11, + 192.89 + ] + }, + { + "text": "14.0", + "bbox_points": [ + 332.28, + 184.88, + 347.53, + 192.89 + ] + }, + { + "text": "72.81", + "bbox_points": [ + 384.49, + 184.88, + 404.15, + 192.89 + ] + }, + { + "text": "185.92", + "bbox_points": [ + 437.1, + 184.88, + 461.18, + 192.89 + ] + }, + { + "text": "258.73", + "bbox_points": [ + 514.15, + 184.88, + 538.23, + 192.89 + ] + } + ] + }, + { + "text": "7. Station A: CW East þ 5 mL crude oil stock 71.7 13.49 37.7 51.19", + "bbox_points": [ + 64.01, + 198.6, + 533.81, + 206.9 + ], + "words": [ + { + "text": "7.", + "bbox_points": [ + 64.01, + 198.88, + 70.42, + 206.9 + ] + }, + { + "text": "Station", + "bbox_points": [ + 72.79, + 198.88, + 98.3, + 206.9 + ] + }, + { + "text": "A:", + "bbox_points": [ + 100.69, + 198.88, + 109.01, + 206.9 + ] + }, + { + "text": "CW", + "bbox_points": [ + 111.4, + 198.88, + 125.47, + 206.9 + ] + }, + { + "text": "East", + "bbox_points": [ + 127.84, + 198.88, + 143.23, + 206.9 + ] + }, + { + "text": "þ", + "bbox_points": [ + 144.79, + 198.6, + 150.95, + 206.6 + ] + }, + { + "text": "5", + "bbox_points": [ + 152.5, + 198.88, + 156.92, + 206.9 + ] + }, + { + "text": "mL", + "bbox_points": [ + 158.91, + 198.88, + 171.24, + 206.9 + ] + }, + { + "text": "crude", + "bbox_points": [ + 173.59, + 198.88, + 193.91, + 206.9 + ] + }, + { + "text": "oil", + "bbox_points": [ + 196.27, + 198.88, + 205.5, + 206.9 + ] + }, + { + "text": "stock", + "bbox_points": [ + 207.89, + 198.88, + 226.8, + 206.9 + ] + }, + { + "text": "71.7", + "bbox_points": [ + 332.28, + 198.88, + 347.53, + 206.9 + ] + }, + { + "text": "13.49", + "bbox_points": [ + 384.49, + 198.88, + 404.15, + 206.9 + ] + }, + { + "text": "37.7", + "bbox_points": [ + 437.1, + 198.88, + 452.35, + 206.9 + ] + }, + { + "text": "51.19", + "bbox_points": [ + 514.15, + 198.88, + 533.81, + 206.9 + ] + } + ] + }, + { + "text": "8. Station A: CW East þ 10 mL crude oil stock 68.4 22.94 54.07 77.01", + "bbox_points": [ + 64.01, + 212.6, + 533.81, + 220.9 + ], + "words": [ + { + "text": "8.", + "bbox_points": [ + 64.01, + 212.88, + 70.42, + 220.9 + ] + }, + { + "text": "Station", + "bbox_points": [ + 72.79, + 212.88, + 98.3, + 220.9 + ] + }, + { + "text": "A:", + "bbox_points": [ + 100.69, + 212.88, + 109.01, + 220.9 + ] + }, + { + "text": "CW", + "bbox_points": [ + 111.4, + 212.88, + 125.47, + 220.9 + ] + }, + { + "text": "East", + "bbox_points": [ + 127.84, + 212.88, + 143.23, + 220.9 + ] + }, + { + "text": "þ", + "bbox_points": [ + 144.79, + 212.6, + 150.95, + 220.6 + ] + }, + { + "text": "10", + "bbox_points": [ + 152.5, + 212.88, + 161.34, + 220.9 + ] + }, + { + "text": "mL", + "bbox_points": [ + 163.33, + 212.88, + 175.66, + 220.9 + ] + }, + { + "text": "crude", + "bbox_points": [ + 178.02, + 212.88, + 198.33, + 220.9 + ] + }, + { + "text": "oil", + "bbox_points": [ + 200.69, + 212.88, + 209.93, + 220.9 + ] + }, + { + "text": "stock", + "bbox_points": [ + 212.32, + 212.88, + 231.16, + 220.9 + ] + }, + { + "text": "68.4", + "bbox_points": [ + 332.28, + 212.88, + 347.53, + 220.9 + ] + }, + { + "text": "22.94", + "bbox_points": [ + 384.49, + 212.88, + 404.15, + 220.9 + ] + }, + { + "text": "54.07", + "bbox_points": [ + 437.1, + 212.88, + 456.77, + 220.9 + ] + }, + { + "text": "77.01", + "bbox_points": [ + 514.15, + 212.88, + 533.81, + 220.9 + ] + } + ] + }, + { + "text": "9. Station A: CW East þ 30 mL crude oil stock 56.3 69.99 164.23 234.22", + "bbox_points": [ + 64.01, + 226.61, + 538.23, + 234.9 + ], + "words": [ + { + "text": "9.", + "bbox_points": [ + 64.01, + 226.89, + 70.42, + 234.9 + ] + }, + { + "text": "Station", + "bbox_points": [ + 72.79, + 226.89, + 98.3, + 234.9 + ] + }, + { + "text": "A:", + "bbox_points": [ + 100.69, + 226.89, + 109.01, + 234.9 + ] + }, + { + "text": "CW", + "bbox_points": [ + 111.4, + 226.89, + 125.47, + 234.9 + ] + }, + { + "text": "East", + "bbox_points": [ + 127.84, + 226.89, + 143.23, + 234.9 + ] + }, + { + "text": "þ", + "bbox_points": [ + 144.79, + 226.61, + 150.95, + 234.61 + ] + }, + { + "text": "30", + "bbox_points": [ + 152.5, + 226.89, + 161.34, + 234.9 + ] + }, + { + "text": "mL", + "bbox_points": [ + 163.33, + 226.89, + 175.66, + 234.9 + ] + }, + { + "text": "crude", + "bbox_points": [ + 178.02, + 226.89, + 198.33, + 234.9 + ] + }, + { + "text": "oil", + "bbox_points": [ + 200.69, + 226.89, + 209.93, + 234.9 + ] + }, + { + "text": "stock", + "bbox_points": [ + 212.32, + 226.89, + 231.16, + 234.9 + ] + }, + { + "text": "56.3", + "bbox_points": [ + 332.28, + 226.89, + 347.53, + 234.9 + ] + }, + { + "text": "69.99", + "bbox_points": [ + 384.49, + 226.89, + 404.15, + 234.9 + ] + }, + { + "text": "164.23", + "bbox_points": [ + 437.1, + 226.89, + 461.18, + 234.9 + ] + }, + { + "text": "234.22", + "bbox_points": [ + 514.15, + 226.89, + 538.23, + 234.9 + ] + } + ] + }, + { + "text": "10. 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Station A: CW West þ 10 mL crude oil stock 23.7 8.83 32.31 41.14", + "bbox_points": [ + 64.01, + 254.61, + 533.81, + 262.91 + ], + "words": [ + { + "text": "11.", + "bbox_points": [ + 64.01, + 254.89, + 74.84, + 262.91 + ] + }, + { + "text": "Station", + "bbox_points": [ + 77.22, + 254.89, + 102.72, + 262.91 + ] + }, + { + "text": "A:", + "bbox_points": [ + 105.11, + 254.89, + 113.44, + 262.91 + ] + }, + { + "text": "CW", + "bbox_points": [ + 115.82, + 254.89, + 129.9, + 262.91 + ] + }, + { + "text": "West", + "bbox_points": [ + 132.26, + 254.89, + 150.03, + 262.91 + ] + }, + { + "text": "þ", + "bbox_points": [ + 151.6, + 254.61, + 157.76, + 262.61 + ] + }, + { + "text": "10", + "bbox_points": [ + 159.31, + 254.89, + 168.14, + 262.91 + ] + }, + { + "text": "mL", + "bbox_points": [ + 170.14, + 254.89, + 182.46, + 262.91 + ] + }, + { + "text": "crude", + "bbox_points": [ + 184.82, + 254.89, + 205.13, + 262.91 + ] + }, + { + "text": "oil", + "bbox_points": [ + 207.5, + 254.89, + 216.73, + 262.91 + ] + }, + { + "text": "stock", + "bbox_points": [ + 219.12, + 254.89, + 238.02, + 262.91 + ] + }, + { + "text": "23.7", + "bbox_points": [ + 332.28, + 254.89, + 347.53, + 262.91 + ] + }, + { + "text": "8.83", + "bbox_points": [ + 384.49, + 254.89, + 399.74, + 262.91 + ] + }, + { + "text": "32.31", + "bbox_points": [ + 437.1, + 254.89, + 456.77, + 262.91 + ] + }, + { + "text": "41.14", + "bbox_points": [ + 514.15, + 254.89, + 533.81, + 262.91 + ] + } + ] + }, + { + "text": "12. Station A: CW West þ 30 mL crude oil stock 18.4 30.12 107.41 137.53", + "bbox_points": [ + 64.01, + 268.62, + 538.23, + 276.91 + ], + "words": [ + { + "text": "12.", + "bbox_points": [ + 64.01, + 268.9, + 74.84, + 276.91 + ] + }, + { + "text": "Station", + "bbox_points": [ + 77.22, + 268.9, + 102.72, + 276.91 + ] + }, + { + "text": "A:", + "bbox_points": [ + 105.11, + 268.9, + 113.44, + 276.91 + ] + }, + { + "text": "CW", + "bbox_points": [ + 115.82, + 268.9, + 129.9, + 276.91 + ] + }, + { + "text": "West", + "bbox_points": [ + 132.26, + 268.9, + 150.03, + 276.91 + ] + }, + { + "text": "þ", + "bbox_points": [ + 151.6, + 268.62, + 157.76, + 276.62 + ] + }, + { + "text": "30", + "bbox_points": [ + 159.31, + 268.9, + 168.14, + 276.91 + ] + }, + { + "text": "mL", + "bbox_points": [ + 170.14, + 268.9, + 182.46, + 276.91 + ] + }, + { + "text": "crude", + "bbox_points": [ + 184.82, + 268.9, + 205.13, + 276.91 + ] + }, + { + "text": "oil", + "bbox_points": [ + 207.5, + 268.9, + 216.73, + 276.91 + ] + }, + { + "text": "stock", + "bbox_points": [ + 219.12, + 268.9, + 238.02, + 276.91 + ] + }, + { + "text": "18.4", + "bbox_points": [ + 332.28, + 268.9, + 347.53, + 276.91 + ] + }, + { + "text": "30.12", + "bbox_points": [ + 384.49, + 268.9, + 404.15, + 276.91 + ] + }, + { + "text": "107.41", + "bbox_points": [ + 437.1, + 268.9, + 461.18, + 276.91 + ] + }, + { + "text": "137.53", + "bbox_points": [ + 514.15, + 268.9, + 538.23, + 276.91 + ] + } + ] + }, + { + "text": "13. Station A: RO feed þ 5 mL crude oil stock 12.1 4.11 18.74 22.85", + "bbox_points": [ + 64.01, + 282.62, + 533.81, + 290.92 + ], + "words": [ + { + "text": "13.", + "bbox_points": [ + 64.01, + 282.9, + 74.84, + 290.92 + ] + }, + { + "text": "Station", + "bbox_points": [ + 77.22, + 282.9, + 102.72, + 290.92 + ] + }, + { + "text": "A:", + "bbox_points": [ + 105.11, + 282.9, + 113.44, + 290.92 + ] + }, + { + "text": "RO", + "bbox_points": [ + 115.82, + 282.9, + 127.95, + 290.92 + ] + }, + { + "text": "feed", + "bbox_points": [ + 130.34, + 282.9, + 145.41, + 290.92 + ] + }, + { + "text": "þ", + "bbox_points": [ + 146.95, + 282.62, + 153.11, + 290.62 + ] + }, + { + "text": "5", + "bbox_points": [ + 154.66, + 282.9, + 159.07, + 290.92 + ] + }, + { + "text": "mL", + "bbox_points": [ + 161.06, + 282.9, + 173.39, + 290.92 + ] + }, + { + "text": "crude", + "bbox_points": [ + 175.75, + 282.9, + 196.06, + 290.92 + ] + }, + { + "text": "oil", + "bbox_points": [ + 198.43, + 282.9, + 207.66, + 290.92 + ] + }, + { + "text": "stock", + "bbox_points": [ + 210.05, + 282.9, + 228.95, + 290.92 + ] + }, + { + "text": "12.1", + "bbox_points": [ + 332.28, + 282.9, + 347.53, + 290.92 + ] + }, + { + "text": "4.11", + "bbox_points": [ + 384.49, + 282.9, + 399.74, + 290.92 + ] + }, + { + "text": "18.74", + "bbox_points": [ + 437.1, + 282.9, + 456.77, + 290.92 + ] + }, + { + "text": "22.85", + "bbox_points": [ + 514.15, + 282.9, + 533.81, + 290.92 + ] + } + ] + }, + { + "text": "14. Station A: RO feed þ 10 mL crude oil stock 11.5 9.12 37.21 46.33", + "bbox_points": [ + 64.01, + 296.62, + 533.81, + 304.92 + ], + "words": [ + { + "text": "14.", + "bbox_points": [ + 64.01, + 296.9, + 74.84, + 304.92 + ] + }, + { + "text": "Station", + "bbox_points": [ + 77.22, + 296.9, + 102.72, + 304.92 + ] + }, + { + "text": "A:", + "bbox_points": [ + 105.11, + 296.9, + 113.44, + 304.92 + ] + }, + { + "text": "RO", + "bbox_points": [ + 115.82, + 296.9, + 127.95, + 304.92 + ] + }, + { + "text": "feed", + "bbox_points": [ + 130.34, + 296.9, + 145.41, + 304.92 + ] + }, + { + "text": "þ", + "bbox_points": [ + 146.95, + 296.62, + 153.11, + 304.62 + ] + }, + { + "text": "10", + "bbox_points": [ + 154.66, + 296.9, + 163.49, + 304.92 + ] + }, + { + "text": "mL", + "bbox_points": [ + 165.49, + 296.9, + 177.81, + 304.92 + ] + }, + { + "text": "crude", + "bbox_points": [ + 180.17, + 296.9, + 200.48, + 304.92 + ] + }, + { + "text": "oil", + "bbox_points": [ + 202.85, + 296.9, + 212.08, + 304.92 + ] + }, + { + "text": "stock", + "bbox_points": [ + 214.47, + 296.9, + 233.32, + 304.92 + ] + }, + { + "text": "11.5", + "bbox_points": [ + 332.28, + 296.9, + 347.53, + 304.92 + ] + }, + { + "text": "9.12", + "bbox_points": [ + 384.49, + 296.9, + 399.74, + 304.92 + ] + }, + { + "text": "37.21", + "bbox_points": [ + 437.1, + 296.9, + 456.77, + 304.92 + ] + }, + { + "text": "46.33", + "bbox_points": [ + 514.15, + 296.9, + 533.81, + 304.92 + ] + } + ] + }, + { + "text": "15. Station A: RO feed þ 30 mL crude oil stock 10.1 47.41 126.84 174.25", + "bbox_points": [ + 64.01, + 310.63, + 538.23, + 318.92 + ], + "words": [ + { + "text": "15.", + "bbox_points": [ + 64.01, + 310.91, + 74.84, + 318.92 + ] + }, + { + "text": "Station", + "bbox_points": [ + 77.22, + 310.91, + 102.72, + 318.92 + ] + }, + { + "text": "A:", + "bbox_points": [ + 105.11, + 310.91, + 113.44, + 318.92 + ] + }, + { + "text": "RO", + "bbox_points": [ + 115.82, + 310.91, + 127.95, + 318.92 + ] + }, + { + "text": "feed", + "bbox_points": [ + 130.34, + 310.91, + 145.41, + 318.92 + ] + }, + { + "text": "þ", + "bbox_points": [ + 146.95, + 310.63, + 153.11, + 318.63 + ] + }, + { + "text": "30", + "bbox_points": [ + 154.66, + 310.91, + 163.49, + 318.92 + ] + }, + { + "text": "mL", + "bbox_points": [ + 165.49, + 310.91, + 177.81, + 318.92 + ] + }, + { + "text": "crude", + "bbox_points": [ + 180.17, + 310.91, + 200.48, + 318.92 + ] + }, + { + "text": "oil", + "bbox_points": [ + 202.85, + 310.91, + 212.08, + 318.92 + ] + }, + { + "text": "stock", + "bbox_points": [ + 214.47, + 310.91, + 233.32, + 318.92 + ] + }, + { + "text": "10.1", + "bbox_points": [ + 332.28, + 310.91, + 347.53, + 318.92 + ] + }, + { + "text": "47.41", + "bbox_points": [ + 384.49, + 310.91, + 404.15, + 318.92 + ] + }, + { + "text": "126.84", + "bbox_points": [ + 437.1, + 310.91, + 461.18, + 318.92 + ] + }, + { + "text": "174.25", + "bbox_points": [ + 514.15, + 310.91, + 538.23, + 318.92 + ] + } + ] + }, + { + "text": "16. Station B: Dirty water dam after clean-up þ 5 mL crude oil stock 8.7 5.35 23.43 28.78", + "bbox_points": [ + 64.01, + 324.57, + 533.81, + 332.87 + ], + "words": [ + { + "text": "16.", + "bbox_points": [ + 64.01, + 324.85, + 74.84, + 332.87 + ] + }, + { + "text": "Station", + "bbox_points": [ + 77.22, + 324.85, + 102.72, + 332.87 + ] + }, + { + "text": "B:", + "bbox_points": [ + 105.11, + 324.85, + 113.01, + 332.87 + ] + }, + { + "text": "Dirty", + "bbox_points": [ + 115.37, + 324.85, + 134.01, + 332.87 + ] + }, + { + "text": "water", + "bbox_points": [ + 136.4, + 324.85, + 156.29, + 332.87 + ] + }, + { + "text": "dam", + "bbox_points": [ + 158.63, + 324.85, + 174.36, + 332.87 + ] + }, + { + "text": "after", + "bbox_points": [ + 176.77, + 324.85, + 192.97, + 332.87 + ] + }, + { + "text": "clean-up", + "bbox_points": [ + 195.19, + 324.85, + 225.66, + 332.87 + ] + }, + { + "text": "þ", + "bbox_points": [ + 227.17, + 324.57, + 233.33, + 332.57 + ] + }, + { + "text": "5", + "bbox_points": [ + 234.88, + 324.85, + 239.29, + 332.87 + ] + }, + { + "text": "mL", + "bbox_points": [ + 241.28, + 324.85, + 253.61, + 332.87 + ] + }, + { + "text": "crude", + "bbox_points": [ + 255.97, + 324.85, + 276.28, + 332.87 + ] + }, + { + "text": "oil", + "bbox_points": [ + 278.65, + 324.85, + 287.88, + 332.87 + ] + }, + { + "text": "stock", + "bbox_points": [ + 290.27, + 324.85, + 309.17, + 332.87 + ] + }, + { + "text": "8.7", + "bbox_points": [ + 332.28, + 324.85, + 343.11, + 332.87 + ] + }, + { + "text": "5.35", + "bbox_points": [ + 384.49, + 324.85, + 399.74, + 332.87 + ] + }, + { + "text": "23.43", + "bbox_points": [ + 437.1, + 324.85, + 456.77, + 332.87 + ] + }, + { + "text": "28.78", + "bbox_points": [ + 514.15, + 324.85, + 533.81, + 332.87 + ] + } + ] + }, + { + "text": "17. Station B: Dirty water dam after clean-up þ 10 mL crude oil stock 9.8 20.36 53.10 73.46", + "bbox_points": [ + 64.01, + 338.57, + 533.81, + 346.87 + ], + "words": [ + { + "text": "17.", + "bbox_points": [ + 64.01, + 338.85, + 74.84, + 346.87 + ] + }, + { + "text": "Station", + "bbox_points": [ + 77.22, + 338.85, + 102.72, + 346.87 + ] + }, + { + "text": "B:", + "bbox_points": [ + 105.11, + 338.85, + 113.01, + 346.87 + ] + }, + { + "text": "Dirty", + "bbox_points": [ + 115.37, + 338.85, + 134.01, + 346.87 + ] + }, + { + "text": "water", + "bbox_points": [ + 136.4, + 338.85, + 156.29, + 346.87 + ] + }, + { + "text": "dam", + "bbox_points": [ + 158.63, + 338.85, + 174.36, + 346.87 + ] + }, + { + "text": "after", + "bbox_points": [ + 176.77, + 338.85, + 192.97, + 346.87 + ] + }, + { + "text": "clean-up", + "bbox_points": [ + 195.19, + 338.85, + 225.66, + 346.87 + ] + }, + { + "text": "þ", + "bbox_points": [ + 227.17, + 338.57, + 233.33, + 346.57 + ] + }, + { + "text": "10", + "bbox_points": [ + 234.88, + 338.85, + 243.71, + 346.87 + ] + }, + { + "text": "mL", + "bbox_points": [ + 245.71, + 338.85, + 258.03, + 346.87 + ] + }, + { + "text": "crude", + "bbox_points": [ + 260.39, + 338.85, + 280.7, + 346.87 + ] + }, + { + "text": "oil", + "bbox_points": [ + 283.07, + 338.85, + 292.3, + 346.87 + ] + }, + { + "text": "stock", + "bbox_points": [ + 294.69, + 338.85, + 313.54, + 346.87 + ] + }, + { + "text": "9.8", + "bbox_points": [ + 332.28, + 338.85, + 343.11, + 346.87 + ] + }, + { + "text": "20.36", + "bbox_points": [ + 384.49, + 338.85, + 404.15, + 346.87 + ] + }, + { + "text": "53.10", + "bbox_points": [ + 437.1, + 338.85, + 456.77, + 346.87 + ] + }, + { + "text": "73.46", + "bbox_points": [ + 514.15, + 338.85, + 533.81, + 346.87 + ] + } + ] + }, + { + "text": "18. Station B: Dirty water dam after clean-up þ 30 mL crude oil stock 10.3 32.2 99.45 131.65", + "bbox_points": [ + 64.01, + 352.58, + 538.23, + 360.87 + ], + "words": [ + { + "text": "18.", + "bbox_points": [ + 64.01, + 352.86, + 74.84, + 360.87 + ] + }, + { + "text": "Station", + "bbox_points": [ + 77.22, + 352.86, + 102.72, + 360.87 + ] + }, + { + "text": "B:", + "bbox_points": [ + 105.11, + 352.86, + 113.01, + 360.87 + ] + }, + { + "text": "Dirty", + "bbox_points": [ + 115.37, + 352.86, + 134.01, + 360.87 + ] + }, + { + "text": "water", + "bbox_points": [ + 136.4, + 352.86, + 156.29, + 360.87 + ] + }, + { + "text": "dam", + "bbox_points": [ + 158.63, + 352.86, + 174.36, + 360.87 + ] + }, + { + "text": "after", + "bbox_points": [ + 176.77, + 352.86, + 192.97, + 360.87 + ] + }, + { + "text": "clean-up", + "bbox_points": [ + 195.19, + 352.86, + 225.66, + 360.87 + ] + }, + { + "text": "þ", + "bbox_points": [ + 227.17, + 352.58, + 233.33, + 360.58 + ] + }, + { + "text": "30", + "bbox_points": [ + 234.88, + 352.86, + 243.71, + 360.87 + ] + }, + { + "text": "mL", + "bbox_points": [ + 245.71, + 352.86, + 258.03, + 360.87 + ] + }, + { + "text": "crude", + "bbox_points": [ + 260.39, + 352.86, + 280.7, + 360.87 + ] + }, + { + "text": "oil", + "bbox_points": [ + 283.07, + 352.86, + 292.3, + 360.87 + ] + }, + { + "text": "stock", + "bbox_points": [ + 294.69, + 352.86, + 313.54, + 360.87 + ] + }, + { + "text": "10.3", + "bbox_points": [ + 332.28, + 352.86, + 347.52, + 360.87 + ] + }, + { + "text": "32.2", + "bbox_points": [ + 384.49, + 352.86, + 399.74, + 360.87 + ] + }, + { + "text": "99.45", + "bbox_points": [ + 437.1, + 352.86, + 456.77, + 360.87 + ] + }, + { + "text": "131.65", + "bbox_points": [ + 514.15, + 352.86, + 538.23, + 360.87 + ] + } + ] + }, + { + "text": "19. Station A: DWD recovery 24.0 ND ND ND", + "bbox_points": [ + 64.01, + 366.86, + 527.47, + 374.88 + ], + "words": [ + { + "text": "19.", + "bbox_points": [ + 64.01, + 366.86, + 74.84, + 374.88 + ] + }, + { + "text": "Station", + "bbox_points": [ + 77.22, + 366.86, + 102.72, + 374.88 + ] + }, + { + "text": "A:", + "bbox_points": [ + 105.11, + 366.86, + 113.44, + 374.88 + ] + }, + { + "text": "DWD", + "bbox_points": [ + 115.82, + 366.86, + 137.3, + 374.88 + ] + }, + { + "text": "recovery", + "bbox_points": [ + 139.63, + 366.86, + 170.13, + 374.88 + ] + }, + { + "text": "24.0", + "bbox_points": [ + 332.28, + 366.86, + 347.53, + 374.88 + ] + }, + { + "text": "ND", + "bbox_points": [ + 384.49, + 366.86, + 397.81, + 374.88 + ] + }, + { + "text": "ND", + "bbox_points": [ + 437.1, + 366.86, + 450.42, + 374.88 + ] + }, + { + "text": "ND", + "bbox_points": [ + 514.15, + 366.86, + 527.47, + 374.88 + ] + } + ] + }, + { + "text": "20. 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94.34, + 373.4 + ], + "words": [ + { + "text": "fuel", + "bbox_points": [ + 51.48, + 365.39, + 64.88, + 373.4 + ] + }, + { + "text": "oil", + "bbox_points": [ + 67.24, + 365.39, + 76.47, + 373.4 + ] + }, + { + "text": "(R0)", + "bbox_points": [ + 78.86, + 365.39, + 94.34, + 373.4 + ] + } + ] + }, + { + "text": "Dirty dam spiked with 10 mL crude 1.05 63.25", + "bbox_points": [ + 43.43, + 379.39, + 273.76, + 387.4 + ], + "words": [ + { + "text": "Dirty", + "bbox_points": [ + 43.43, + 379.39, + 62.07, + 387.4 + ] + }, + { + "text": "dam", + "bbox_points": [ + 64.46, + 379.39, + 80.2, + 387.4 + ] + }, + { + "text": "spiked", + "bbox_points": [ + 82.55, + 379.39, + 105.75, + 387.4 + ] + }, + { + "text": "with", + "bbox_points": [ + 108.11, + 379.39, + 124.09, + 387.4 + ] + }, + { + "text": "10", + "bbox_points": [ + 126.48, + 379.39, + 135.31, + 387.4 + ] + }, + { + "text": "mL", + "bbox_points": [ + 137.31, + 379.39, + 149.64, + 387.4 + ] + }, + { + "text": "crude", + "bbox_points": [ + 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"bbox_points": [ + 182.44, + 452.86, + 197.68, + 460.88 + ] + }, + { + "text": "60.24", + "bbox_points": [ + 254.1, + 452.86, + 273.76, + 460.88 + ] + } + ] + }, + { + "text": "fuel oil (R4)", + "bbox_points": [ + 51.48, + 463.35, + 94.34, + 471.36 + ], + "words": [ + { + "text": "fuel", + "bbox_points": [ + 51.48, + 463.35, + 64.88, + 471.36 + ] + }, + { + "text": "oil", + "bbox_points": [ + 67.24, + 463.35, + 76.47, + 471.36 + ] + }, + { + "text": "(R4)", + "bbox_points": [ + 78.86, + 463.35, + 94.34, + 471.36 + ] + } + ] + }, + { + "text": "Dirty dam spiked with 10 mL crude 1.00 60.24", + "bbox_points": [ + 43.43, + 477.35, + 273.76, + 485.37 + ], + "words": [ + { + "text": "Dirty", + "bbox_points": [ + 43.43, + 477.35, + 62.07, + 485.37 + ] + }, + { + "text": "dam", + "bbox_points": [ + 64.46, + 477.35, + 80.2, + 485.37 + ] + }, + { + "text": "spiked", + "bbox_points": [ + 82.55, + 477.35, + 105.75, + 485.37 + ] + }, + { + "text": "with", + "bbox_points": [ + 108.11, + 477.35, + 124.09, + 485.37 + ] + }, + { + "text": "10", + "bbox_points": [ + 126.48, + 477.35, + 135.31, + 485.37 + ] + }, + { + "text": "mL", + "bbox_points": [ + 137.31, + 477.35, + 149.64, + 485.37 + ] + }, + { + "text": "crude", + "bbox_points": [ + 152.0, + 477.35, + 172.31, + 485.37 + ] + }, + { + "text": "1.00", + "bbox_points": [ + 182.44, + 477.35, + 197.68, + 485.37 + ] + }, + { + "text": "60.24", + "bbox_points": [ + 254.1, + 477.35, + 273.76, + 485.37 + ] + } + ] + }, + { + "text": "fuel oil (R5)", + "bbox_points": [ + 51.48, + 487.9, + 94.34, + 495.91 + ], + "words": [ + { + "text": "fuel", + "bbox_points": [ + 51.48, + 487.9, + 64.88, + 495.91 + ] + }, + { + "text": "oil", + "bbox_points": [ + 67.24, + 487.9, + 76.47, + 495.91 + ] + }, + { + "text": "(R5)", + "bbox_points": [ + 78.86, + 487.9, + 94.34, + 495.91 + ] + } + ] + }, + { + "text": "Dirty dam spiked with 30 mL crude 3.10 186.75 178.31 (2.96) 5.29 (0.089) 2.97", + "bbox_points": [ + 43.43, + 501.9, + 495.61, + 509.92 + ], + "words": [ + { + "text": "Dirty", + "bbox_points": [ + 43.43, + 501.9, + 62.07, + 509.92 + ] + }, + { + "text": "dam", + "bbox_points": [ + 64.46, + 501.9, + 80.2, + 509.92 + ] + }, + { + "text": "spiked", + "bbox_points": [ + 82.55, + 501.9, + 105.75, + 509.92 + ] + }, + { + "text": "with", + "bbox_points": [ + 108.11, + 501.9, + 124.09, + 509.92 + ] + }, + { + "text": "30", + "bbox_points": [ + 126.48, + 501.9, + 135.31, + 509.92 + ] + }, + { + "text": "mL", + "bbox_points": [ + 137.31, + 501.9, + 149.64, + 509.92 + ] + }, + { + "text": "crude", + "bbox_points": [ + 152.0, + 501.9, + 172.31, + 509.92 + ] + }, + { + "text": "3.10", + "bbox_points": [ + 182.44, + 501.9, + 197.68, + 509.92 + ] + }, + { + "text": "186.75", + "bbox_points": [ + 254.1, + 501.9, + 278.18, + 509.92 + ] + }, + { + "text": "178.31", + "bbox_points": [ + 287.83, + 501.9, + 311.91, + 509.92 + ] + }, + { + "text": "(2.96)", + "bbox_points": [ + 314.25, + 501.9, + 334.98, + 509.92 + ] + }, + { + "text": "5.29", + "bbox_points": [ + 355.07, + 501.9, + 370.31, + 509.92 + ] + }, + { + "text": "(0.089)", + "bbox_points": [ + 372.7, + 501.9, + 397.85, + 509.92 + ] + }, + { + "text": "2.97", + "bbox_points": [ + 480.36, + 501.9, + 495.61, + 509.92 + ] + } + ] + }, + { + "text": "fuel oil (R0)", + "bbox_points": [ + 51.48, + 512.39, + 94.34, + 520.4 + ], + "words": [ + { + "text": "fuel", + "bbox_points": [ + 51.48, + 512.39, + 64.88, + 520.4 + ] + }, + { + "text": "oil", + "bbox_points": [ + 67.24, + 512.39, + 76.47, + 520.4 + ] + }, + { + "text": "(R0)", + "bbox_points": [ + 78.86, + 512.39, + 94.34, + 520.4 + ] + } + ] + }, + { + "text": "Dirty dam spiked with 30 mL crude 3.04 183.13", + "bbox_points": [ + 43.43, + 526.39, + 278.18, + 534.41 + ], + "words": [ + { + "text": "Dirty", + "bbox_points": [ + 43.43, + 526.39, + 62.07, + 534.41 + ] + }, + { + "text": "dam", + "bbox_points": [ + 64.46, + 526.39, + 80.2, + 534.41 + ] + }, + { + "text": "spiked", + "bbox_points": [ + 82.55, + 526.39, + 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+ "bbox_points": [ + 43.43, + 550.88, + 278.18, + 558.9 + ], + "words": [ + { + "text": "Dirty", + "bbox_points": [ + 43.43, + 550.88, + 62.07, + 558.9 + ] + }, + { + "text": "dam", + "bbox_points": [ + 64.46, + 550.88, + 80.2, + 558.9 + ] + }, + { + "text": "spiked", + "bbox_points": [ + 82.55, + 550.88, + 105.75, + 558.9 + ] + }, + { + "text": "with", + "bbox_points": [ + 108.11, + 550.88, + 124.09, + 558.9 + ] + }, + { + "text": "30", + "bbox_points": [ + 126.48, + 550.88, + 135.31, + 558.9 + ] + }, + { + "text": "mL", + "bbox_points": [ + 137.31, + 550.88, + 149.64, + 558.9 + ] + }, + { + "text": "crude", + "bbox_points": [ + 152.0, + 550.88, + 172.31, + 558.9 + ] + }, + { + "text": "2.98", + "bbox_points": [ + 182.44, + 550.88, + 197.68, + 558.9 + ] + }, + { + "text": "179.52", + "bbox_points": [ + 254.1, + 550.88, + 278.18, + 558.9 + ] + } + ] + }, + { + "text": "fuel oil (R2)", + "bbox_points": [ + 51.48, + 561.37, + 94.34, + 569.39 + ], + "words": [ + { + "text": "fuel", + "bbox_points": [ + 51.48, + 561.37, + 64.88, + 569.39 + ] + }, + { + "text": "oil", + "bbox_points": [ + 67.24, + 561.37, + 76.47, + 569.39 + ] + }, + { + "text": "(R2)", + "bbox_points": [ + 78.86, + 561.37, + 94.34, + 569.39 + ] + } + ] + }, + { + "text": "Dirty dam spiked with 130 mL 2.90 174.70", + "bbox_points": [ + 43.43, + 575.37, + 278.18, + 583.39 + ], + "words": [ + { + "text": "Dirty", + "bbox_points": [ + 43.43, + 575.37, + 62.07, + 583.39 + ] + }, + { + "text": "dam", + "bbox_points": [ + 64.46, + 575.37, + 80.2, + 583.39 + ] + }, + { + "text": "spiked", + "bbox_points": [ + 82.55, + 575.37, + 105.75, + 583.39 + ] + }, + { + "text": "with", + "bbox_points": [ + 108.11, + 575.37, + 124.09, + 583.39 + ] + }, + { + "text": "130", + "bbox_points": [ + 126.48, + 575.37, + 139.73, + 583.39 + ] + }, + { + "text": "mL", + "bbox_points": [ + 141.68, + 575.37, + 154.0, + 583.39 + ] + }, + { + "text": "2.90", + "bbox_points": [ + 182.44, + 575.37, + 197.68, + 583.39 + ] + }, + { + "text": "174.70", + "bbox_points": [ + 254.1, + 575.37, + 278.18, + 583.39 + ] + } + ] + }, + { + "text": "crude fuel oil (R3)", + "bbox_points": [ + 51.48, + 585.86, + 117.02, + 593.88 + ], + "words": [ + { + "text": "crude", + "bbox_points": [ + 51.48, + 585.86, + 71.79, + 593.88 + ] + }, + { + "text": "fuel", + "bbox_points": [ + 74.1, + 585.86, + 87.5, + 593.88 + ] + }, + { + "text": "oil", + "bbox_points": [ + 89.92, + 585.86, + 99.15, + 593.88 + ] + }, + { + "text": "(R3)", + "bbox_points": [ + 101.54, + 585.86, + 117.02, + 593.88 + ] + } + ] + }, + { + "text": "Dirty dam spiked with 30 mL crude 2.87 172.89", + "bbox_points": [ + 43.43, + 599.86, + 278.18, + 607.88 + ], + "words": [ + { + "text": "Dirty", + "bbox_points": [ + 43.43, + 599.86, + 62.07, + 607.88 + ] + }, + { + "text": "dam", + "bbox_points": [ + 64.46, + 599.86, + 80.2, + 607.88 + ] + }, + { + "text": "spiked", + "bbox_points": [ + 82.55, + 599.86, + 105.75, + 607.88 + ] + }, + { + "text": "with", + "bbox_points": 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(a–c) subplots show the rainfall variation of Aralaganwila, Angamedilla, and Polonnaruwa_Agri, respectively. (d) exhibits the water level of Manampitiya. (e, f) boxplots illustrate the annual and monthly water level variation of Manampitiya, respectively. diff --git a/Figures/Madhushanka et al. - 2024 - Behavior of LSTM and Transformer deep learning models in flood simulation considering South Asian tr/figure_03.jpg b/Figures/Madhushanka et al. - 2024 - Behavior of LSTM and Transformer deep learning models in flood simulation considering South Asian tr/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3e96d87eca950403630c8eb24dad922defa9893e --- /dev/null +++ b/Figures/Madhushanka et al. - 2024 - Behavior of LSTM and Transformer deep learning models in flood simulation considering South Asian tr/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:79961536eea3afff804561f0301282758035e76bd957887fa0b502b9c3755471 +size 61910 diff --git a/Figures/Madhushanka et al. - 2024 - Behavior of LSTM and Transformer deep learning models in flood simulation considering South Asian tr/figure_03.txt b/Figures/Madhushanka et al. - 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2024 - Behavior of LSTM and Transformer deep learning models in flood simulation considering South Asian tr/figure_09.txt @@ -0,0 +1 @@ +Scatter plots of predicted and observed water levels during the training period, with NSE representing the Nash–Sutcliffe efficiency. diff --git a/Figures/Madhushanka et al. - 2024 - Behavior of LSTM and Transformer deep learning models in flood simulation considering South Asian tr/figure_10.jpg b/Figures/Madhushanka et al. - 2024 - Behavior of LSTM and Transformer deep learning models in flood simulation considering South Asian tr/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..09c27d54f68eee64641384b556a500a831d3216c --- /dev/null +++ b/Figures/Madhushanka et al. - 2024 - Behavior of LSTM and Transformer deep learning models in flood simulation considering South Asian tr/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ce92ec8442364d769c61ee99316eb1788bff6ecb11c8e1582160414f4a05b825 +size 179649 diff --git a/Figures/Madhushanka et al. - 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"text": "7.00", + "bbox_points": [ + 357.96, + 170.88, + 373.21, + 178.89 + ] + }, + { + "text": "6.10–7.30", + "bbox_points": [ + 404.11, + 170.6, + 438.52, + 178.89 + ] + }, + { + "text": "22%", + "bbox_points": [ + 465.79, + 170.88, + 481.62, + 178.89 + ] + } + ] + }, + { + "text": "Nitrite (mg/L) 18 0.01 0.01 0.00 0.00–0.03 N/A", + "bbox_points": [ + 124.1, + 184.6, + 482.11, + 192.89 + ], + "words": [ + { + "text": "Nitrite", + "bbox_points": [ + 124.1, + 184.88, + 147.81, + 192.89 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 150.18, + 184.88, + 175.57, + 192.89 + ] + }, + { + "text": "18", + "bbox_points": [ + 205.0, + 184.88, + 213.83, + 192.89 + ] + }, + { + "text": "0.01", + "bbox_points": [ + 275.19, + 184.88, + 290.44, + 192.89 + ] + }, + { + "text": "0.01", + "bbox_points": [ + 315.5, + 184.88, + 330.74, + 192.89 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 357.96, + 184.88, + 373.21, + 192.89 + ] + }, + { + "text": "0.00–0.03", + "bbox_points": [ + 404.11, + 184.6, + 438.52, + 192.89 + ] + }, + { + "text": "N/A", + "bbox_points": [ + 465.79, + 184.88, + 482.11, + 192.89 + ] + } + ] + }, + { + "text": "Nitrate (mg/L) 18 1.90 1.57 1.45 0.15–5.20 0%", + "bbox_points": [ + 124.1, + 198.6, + 477.2, + 206.9 + ], + "words": [ + { + "text": "Nitrate", + "bbox_points": [ + 124.1, + 198.88, + 149.27, + 206.9 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 151.65, + 198.88, + 177.05, + 206.9 + ] + }, + { + "text": "18", + "bbox_points": [ + 205.0, + 198.88, + 213.83, + 206.9 + ] + }, + { + "text": "1.90", + "bbox_points": [ + 275.19, + 198.88, + 290.44, + 206.9 + ] + }, + { + "text": "1.57", + "bbox_points": [ + 315.5, + 198.88, + 330.74, + 206.9 + ] + }, + { + "text": "1.45", + "bbox_points": [ + 357.96, + 198.88, + 373.21, + 206.9 + ] + }, + { + "text": "0.15–5.20", + "bbox_points": [ + 404.11, + 198.6, + 438.52, + 206.9 + ] + }, + { + "text": "0%", + "bbox_points": [ + 465.79, + 198.88, + 477.2, + 206.9 + ] + } + ] + }, + { + "text": "Fluoride (mg/L) 18 0.16 0.10 0.20 0.00–0.40 0%", + "bbox_points": [ + 124.1, + 212.6, + 477.2, + 220.9 + ], + "words": [ + { + "text": "Fluoride", + "bbox_points": [ + 124.1, + 212.88, + 154.39, + 220.9 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 156.76, + 212.88, + 182.15, + 220.9 + ] + }, + { + "text": "18", + "bbox_points": [ + 205.0, + 212.88, + 213.83, + 220.9 + ] + }, + { + "text": "0.16", + "bbox_points": [ + 275.19, + 212.88, + 290.44, + 220.9 + ] + }, + { + "text": "0.10", + "bbox_points": [ + 315.5, + 212.88, + 330.74, + 220.9 + ] + }, + { + "text": "0.20", + "bbox_points": [ + 357.96, + 212.88, + 373.21, + 220.9 + ] + }, + { + "text": "0.00–0.40", + "bbox_points": [ + 404.11, + 212.6, + 438.52, + 220.9 + ] + }, + { + "text": "0%", + "bbox_points": [ + 465.79, + 212.88, + 477.2, + 220.9 + ] + } + ] + }, + { + "text": "3 pH 22 5.93 0.28 5.90 5.50–6.40 100%", + "bbox_points": [ + 64.01, + 226.61, + 486.04, + 234.9 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 64.01, + 226.89, + 68.42, + 234.9 + ] + }, + { + "text": "pH", + "bbox_points": [ + 124.1, + 226.89, + 135.68, + 234.9 + ] + }, + { + "text": "22", + "bbox_points": [ + 205.0, + 226.89, + 213.83, + 234.9 + ] + }, + { + "text": "5.93", + "bbox_points": [ + 275.19, + 226.89, + 290.44, + 234.9 + ] + }, + { + "text": "0.28", + "bbox_points": [ + 315.5, + 226.89, + 330.74, + 234.9 + ] + }, + { + "text": "5.90", + "bbox_points": [ + 357.96, + 226.89, + 373.21, + 234.9 + ] + }, + { + "text": "5.50–6.40", + "bbox_points": [ + 404.11, + 226.61, + 438.52, + 234.9 + ] + }, + { + "text": "100%", + "bbox_points": [ + 465.79, + 226.89, + 486.04, + 234.9 + ] + } + ] + }, + { + "text": "Nitrite (mg/L) 22 0.03 0.06 0.02 0.00–0.13 N/A", + "bbox_points": [ + 124.1, + 240.61, + 482.11, + 248.91 + ], + "words": [ + { + "text": "Nitrite", + "bbox_points": [ + 124.1, + 240.89, + 147.81, + 248.91 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 150.18, + 240.89, + 175.57, + 248.91 + ] + }, + { + "text": "22", + "bbox_points": [ + 205.0, + 240.89, + 213.83, + 248.91 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 275.19, + 240.89, + 290.44, + 248.91 + ] + }, + { + "text": "0.06", + "bbox_points": [ + 315.5, + 240.89, + 330.74, + 248.91 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 357.96, + 240.89, + 373.21, + 248.91 + ] + }, + { + "text": "0.00–0.13", + "bbox_points": [ + 404.11, + 240.61, + 438.52, + 248.91 + ] + }, + { + "text": "N/A", + "bbox_points": [ + 465.79, + 240.89, + 482.11, + 248.91 + ] + } + ] + }, + { + "text": "Nitrate (mg/L) 22 3.27 6.34 2.05 0.02–30.50 5%", + "bbox_points": [ + 124.1, + 254.61, + 477.21, + 262.91 + ], + "words": [ + { + "text": "Nitrate", + "bbox_points": [ + 124.1, + 254.89, + 149.27, + 262.91 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 151.66, + 254.89, + 177.05, + 262.91 + ] + }, + { + "text": "22", + "bbox_points": [ + 205.0, + 254.89, + 213.84, + 262.91 + ] + }, + { + "text": "3.27", + "bbox_points": [ + 275.19, + 254.89, + 290.44, + 262.91 + ] + }, + { + "text": "6.34", + "bbox_points": [ + 315.5, + 254.89, + 330.75, + 262.91 + ] + }, + { + "text": "2.05", + "bbox_points": [ + 357.96, + 254.89, + 373.21, + 262.91 + ] + }, + { + "text": "0.02–30.50", + "bbox_points": [ + 404.11, + 254.61, + 442.93, + 262.91 + ] + }, + { + "text": "5%", + "bbox_points": [ + 465.79, + 254.89, + 477.21, + 262.91 + ] + } + ] + }, + { + "text": "Fluoride (mg/L) 22 0.08 0.22 0.00 0.00–1.00 0%", + "bbox_points": [ + 124.1, + 268.62, + 477.21, + 276.91 + ], + "words": [ + { + "text": "Fluoride", + "bbox_points": [ + 124.1, + 268.9, + 154.39, + 276.91 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 156.76, + 268.9, + 182.15, + 276.91 + ] + }, + { + "text": "22", + "bbox_points": [ + 205.0, + 268.9, + 213.83, + 276.91 + ] + }, + { + "text": "0.08", + "bbox_points": [ + 275.19, + 268.9, + 290.44, + 276.91 + ] + }, + { + "text": "0.22", + "bbox_points": [ + 315.5, + 268.9, + 330.74, + 276.91 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 357.96, + 268.9, + 373.21, + 276.91 + ] + }, + { + "text": "0.00–1.00", + "bbox_points": [ + 404.11, + 268.62, + 438.52, + 276.91 + ] + }, + { + "text": "0%", + "bbox_points": [ + 465.79, + 268.9, + 477.21, + 276.91 + ] + } + ] + }, + { + "text": "4 pH 21 7.34 0.57 7.30 6.10–8.30 5%", + "bbox_points": [ + 64.01, + 282.62, + 477.21, + 290.92 + ], + "words": [ + { + "text": "4", + "bbox_points": [ + 64.01, + 282.9, + 68.42, + 290.92 + ] + }, + { + "text": "pH", + "bbox_points": [ + 124.1, + 282.9, + 135.68, + 290.92 + ] + }, + { + "text": "21", + "bbox_points": [ + 205.0, + 282.9, + 213.84, + 290.92 + ] + }, + { + "text": "7.34", + "bbox_points": [ + 275.19, + 282.9, + 290.44, + 290.92 + ] + }, + { + "text": "0.57", + "bbox_points": [ + 315.5, + 282.9, + 330.75, + 290.92 + ] + }, + { + "text": "7.30", + "bbox_points": [ + 357.96, + 282.9, + 373.21, + 290.92 + ] + }, + { + "text": "6.10–8.30", + "bbox_points": [ + 404.11, + 282.62, + 438.52, + 290.92 + ] + }, 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0.15–22.10 5%", + "bbox_points": [ + 124.1, + 310.63, + 477.21, + 318.92 + ], + "words": [ + { + "text": "Nitrate", + "bbox_points": [ + 124.1, + 310.91, + 149.27, + 318.92 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 151.66, + 310.91, + 177.05, + 318.92 + ] + }, + { + "text": "21", + "bbox_points": [ + 205.0, + 310.91, + 213.84, + 318.92 + ] + }, + { + "text": "2.13", + "bbox_points": [ + 275.19, + 310.91, + 290.44, + 318.92 + ] + }, + { + "text": "4.62", + "bbox_points": [ + 315.5, + 310.91, + 330.75, + 318.92 + ] + }, + { + "text": "1.40", + "bbox_points": [ + 357.96, + 310.91, + 373.21, + 318.92 + ] + }, + { + "text": "0.15–22.10", + "bbox_points": [ + 404.11, + 310.63, + 442.93, + 318.92 + ] + }, + { + "text": "5%", + "bbox_points": [ + 465.79, + 310.91, + 477.21, + 318.92 + ] + } + ] + }, + { + "text": "Fluoride (mg/L) 21 0.50 0.26 0.50 0.06–1.00 0%", + "bbox_points": [ + 124.1, + 324.57, + 477.21, + 332.87 + ], + "words": [ + { + "text": "Fluoride", + "bbox_points": [ + 124.1, + 324.85, + 154.39, + 332.87 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 156.76, + 324.85, + 182.15, + 332.87 + ] + }, + { + "text": "21", + "bbox_points": [ + 205.0, + 324.85, + 213.84, + 332.87 + ] + }, + { + "text": "0.50", + "bbox_points": [ + 275.19, + 324.85, + 290.44, + 332.87 + ] + }, + { + "text": "0.26", + "bbox_points": [ + 315.5, + 324.85, + 330.75, + 332.87 + ] + }, + { + "text": "0.50", + "bbox_points": [ + 357.96, + 324.85, + 373.21, + 332.87 + ] + }, + { + "text": "0.06–1.00", + "bbox_points": [ + 404.11, + 324.57, + 438.52, + 332.87 + ] + }, + { + "text": "0%", + "bbox_points": [ + 465.79, + 324.85, + 477.21, + 332.87 + ] + } + ] + }, + { + "text": "5 pH 20 8.43 0.17 8.40 8.00–8.70 25%", + "bbox_points": [ + 64.01, + 338.57, + 481.62, + 346.87 + ], + "words": [ + { + "text": "5", + "bbox_points": [ + 64.01, + 338.85, + 68.43, + 346.87 + ] + }, + { + "text": "pH", + "bbox_points": [ + 124.1, + 338.85, + 135.68, + 346.87 + ] + }, + { + "text": "20", + "bbox_points": [ + 205.0, + 338.85, + 213.84, + 346.87 + ] + }, + { + "text": "8.43", + "bbox_points": [ + 275.19, + 338.85, + 290.44, + 346.87 + ] + }, + { + "text": "0.17", + "bbox_points": [ + 315.5, + 338.85, + 330.75, + 346.87 + ] + }, + { + "text": "8.40", + "bbox_points": [ + 357.96, + 338.85, + 373.21, + 346.87 + ] + }, + { + "text": "8.00–8.70", + "bbox_points": [ + 404.11, + 338.57, + 438.52, + 346.87 + ] + }, + { + "text": "25%", + "bbox_points": [ + 465.79, + 338.85, + 481.62, + 346.87 + ] + } + ] + }, + { + "text": "Nitrite (mg/L) 20 0.01 0.02 0.00 0.00–0.09 N/A", + "bbox_points": [ + 124.1, + 352.58, + 482.11, + 360.87 + ], + "words": [ + { + "text": "Nitrite", + "bbox_points": [ + 124.1, + 352.86, + 147.82, + 360.87 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 150.18, + 352.86, + 175.57, + 360.87 + ] + }, + { + "text": "20", + "bbox_points": [ + 205.0, + 352.86, + 213.84, + 360.87 + ] + }, + { + "text": "0.01", + "bbox_points": [ + 275.19, + 352.86, + 290.44, + 360.87 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 315.5, + 352.86, + 330.75, + 360.87 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 357.96, + 352.86, + 373.21, + 360.87 + ] + }, + { + "text": "0.00–0.09", + "bbox_points": [ + 404.11, + 352.58, + 438.52, + 360.87 + ] + }, + { + "text": "N/A", + "bbox_points": [ + 465.79, + 352.86, + 482.11, + 360.87 + ] + } + ] + }, + { + "text": "Nitrate (mg/L) 20 1.41 1.74 1.00 0.15–6.80 0%", + "bbox_points": [ + 124.1, + 366.58, + 477.21, + 374.88 + ], + "words": [ + { + "text": "Nitrate", + "bbox_points": [ + 124.1, + 366.86, + 149.28, + 374.88 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 151.66, + 366.86, + 177.05, + 374.88 + ] + }, + { + "text": "20", + "bbox_points": [ + 205.01, + 366.86, + 213.84, + 374.88 + ] + }, + { + "text": "1.41", + "bbox_points": [ + 275.19, + 366.86, + 290.44, + 374.88 + ] + }, + { + "text": "1.74", + "bbox_points": [ + 315.5, + 366.86, + 330.75, + 374.88 + ] + }, + { + "text": "1.00", + "bbox_points": [ + 357.96, + 366.86, + 373.21, + 374.88 + ] + }, + { + "text": "0.15–6.80", + "bbox_points": [ + 404.11, + 366.58, + 438.52, + 374.88 + ] + }, + { + "text": "0%", + "bbox_points": [ + 465.79, + 366.86, + 477.21, + 374.88 + ] + } + ] + }, + { + "text": "Fluoride (mg/L) 20 3.53 0.57 3.50 3.00–5.00 100%", + "bbox_points": [ + 124.1, + 380.58, + 486.04, + 388.88 + ], + "words": [ + { + "text": "Fluoride", + "bbox_points": [ + 124.1, + 380.86, + 154.39, + 388.88 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 156.76, + 380.86, + 182.15, + 388.88 + ] + }, + { + "text": "20", + "bbox_points": [ + 205.0, + 380.86, + 213.84, + 388.88 + ] + }, + { + "text": "3.53", + "bbox_points": [ + 275.19, + 380.86, + 290.44, + 388.88 + ] + }, + { + "text": "0.57", + "bbox_points": [ + 315.5, + 380.86, + 330.75, + 388.88 + ] + }, + { + "text": "3.50", + "bbox_points": [ + 357.96, + 380.86, + 373.21, + 388.88 + ] + }, + { + "text": "3.00–5.00", + "bbox_points": [ + 404.11, + 380.58, + 438.52, + 388.88 + ] + }, + { + "text": "100%", + "bbox_points": [ + 465.79, + 380.86, + 486.04, + 388.88 + ] + } + ] + }, + { + "text": "6 pH 21 6.26 0.48 6.20 5.40–7.10 62%", + "bbox_points": [ + 64.01, + 394.59, + 481.62, + 402.88 + ], + "words": [ + { + "text": "6", + "bbox_points": [ + 64.01, + 394.87, + 68.43, + 402.88 + ] + }, + { + "text": "pH", + "bbox_points": [ + 124.1, + 394.87, + 135.68, + 402.88 + ] + }, + { + "text": "21", + "bbox_points": [ + 205.01, + 394.87, + 213.84, + 402.88 + ] + }, + { + "text": "6.26", + "bbox_points": [ + 275.19, + 394.87, + 290.44, + 402.88 + ] + }, + { + "text": "0.48", + "bbox_points": [ + 315.5, + 394.87, + 330.75, + 402.88 + ] + }, + { + "text": "6.20", + "bbox_points": [ + 357.96, + 394.87, + 373.21, + 402.88 + ] + }, + { + "text": "5.40–7.10", + "bbox_points": [ + 404.11, + 394.59, + 438.52, + 402.88 + ] + }, + { + "text": "62%", + "bbox_points": [ + 465.79, + 394.87, + 481.62, + 402.88 + ] + } + ] + }, + { + "text": "Nitrite (mg/L) 21 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"bbox_points": [ + 124.1, + 422.87, + 149.28, + 430.89 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 151.66, + 422.87, + 177.05, + 430.89 + ] + }, + { + "text": "21", + "bbox_points": [ + 205.01, + 422.87, + 213.84, + 430.89 + ] + }, + { + "text": "0.79", + "bbox_points": [ + 275.19, + 422.87, + 290.44, + 430.89 + ] + }, + { + "text": "1.24", + "bbox_points": [ + 315.5, + 422.87, + 330.75, + 430.89 + ] + }, + { + "text": "0.15", + "bbox_points": [ + 357.96, + 422.87, + 373.21, + 430.89 + ] + }, + { + "text": "0.10–4.90", + "bbox_points": [ + 404.11, + 422.59, + 438.52, + 430.89 + ] + }, + { + "text": "0%", + "bbox_points": [ + 465.79, + 422.87, + 477.21, + 430.89 + ] + } + ] + }, + { + "text": "Fluoride (mg/L) 21 0.09 0.13 0.00 0.00–0.40 0%", + "bbox_points": [ + 124.1, + 436.6, + 477.21, + 444.89 + ], + "words": [ + { + "text": "Fluoride", + "bbox_points": [ + 124.1, + 436.88, + 154.39, + 444.89 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 156.76, + 436.88, + 182.15, + 444.89 + ] + }, + { + "text": "21", + "bbox_points": [ + 205.01, + 436.88, + 213.84, + 444.89 + ] + }, + { + "text": "0.09", + "bbox_points": [ + 275.19, + 436.88, + 290.44, + 444.89 + ] + }, + { + "text": "0.13", + "bbox_points": [ + 315.5, + 436.88, + 330.75, + 444.89 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 357.96, + 436.88, + 373.21, + 444.89 + ] + }, + { + "text": "0.00–0.40", + "bbox_points": [ + 404.11, + 436.6, + 438.52, + 444.89 + ] + }, + { + "text": "0%", + "bbox_points": [ + 465.79, + 436.88, + 477.21, + 444.89 + ] + } + ] + }, + { + "text": "7 pH 15 7.33 0.56 7.50 6.40–8.30 7%", + "bbox_points": [ + 64.01, + 450.6, + 477.21, + 458.89 + ], + "words": [ + { + "text": "7", + "bbox_points": [ + 64.01, + 450.88, + 68.43, + 458.89 + ] + }, + { + "text": "pH", + "bbox_points": [ + 124.11, + 450.88, + 135.68, + 458.89 + ] + }, + { + "text": "15", + "bbox_points": [ + 205.01, + 450.88, + 213.84, + 458.89 + ] + }, + { + "text": "7.33", + "bbox_points": [ + 275.19, + 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"0.01", + "bbox_points": [ + 357.96, + 464.88, + 373.21, + 472.9 + ] + }, + { + "text": "0.00–0.04", + "bbox_points": [ + 404.11, + 464.6, + 438.52, + 472.9 + ] + }, + { + "text": "N/A", + "bbox_points": [ + 465.79, + 464.88, + 482.11, + 472.9 + ] + } + ] + }, + { + "text": "Nitrate (mg/L) 15 3.70 10.98 0.15 0.10–43.00 7%", + "bbox_points": [ + 124.11, + 478.6, + 477.21, + 486.9 + ], + "words": [ + { + "text": "Nitrate", + "bbox_points": [ + 124.11, + 478.88, + 149.28, + 486.9 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 151.66, + 478.88, + 177.05, + 486.9 + ] + }, + { + "text": "15", + "bbox_points": [ + 205.01, + 478.88, + 213.84, + 486.9 + ] + }, + { + "text": "3.70", + "bbox_points": [ + 275.19, + 478.88, + 290.44, + 486.9 + ] + }, + { + "text": "10.98", + "bbox_points": [ + 315.5, + 478.88, + 335.16, + 486.9 + ] + }, + { + "text": "0.15", + "bbox_points": [ + 357.96, + 478.88, + 373.21, + 486.9 + ] + }, + { + "text": "0.10–43.00", + "bbox_points": [ + 404.11, + 478.6, + 442.94, + 486.9 + ] + }, + { + "text": "7%", + "bbox_points": [ + 465.79, + 478.88, + 477.21, + 486.9 + ] + } + ] + }, + { + "text": "Fluoride (mg/L) 15 0.08 0.09 0.10 0.00–0.20 0%", + "bbox_points": [ + 124.11, + 492.61, + 477.21, + 500.9 + ], + "words": [ + { + "text": "Fluoride", + "bbox_points": [ + 124.11, + 492.89, + 154.39, + 500.9 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 156.76, + 492.89, + 182.15, + 500.9 + ] + }, + { + "text": "15", + "bbox_points": [ + 205.01, + 492.89, + 213.84, + 500.9 + ] + }, + { + "text": "0.08", + "bbox_points": [ + 275.19, + 492.89, + 290.44, + 500.9 + ] + }, + { + "text": "0.09", + "bbox_points": [ + 315.5, + 492.89, + 330.75, + 500.9 + ] + }, + { + "text": "0.10", + "bbox_points": [ + 357.96, + 492.89, + 373.21, + 500.9 + ] + }, + { + "text": "0.00–0.20", + "bbox_points": [ + 404.11, + 492.61, + 438.52, + 500.9 + ] + }, + { + "text": "0%", + "bbox_points": [ + 465.79, + 492.89, + 477.21, + 500.9 + ] + } + ] + }, + { + "text": "8 pH 19 6.68 0.76 6.50 6.00–9.60 37%", + "bbox_points": [ + 64.01, + 506.61, + 481.63, + 514.91 + ], + "words": [ + { + "text": "8", + "bbox_points": [ + 64.01, + 506.89, + 68.43, + 514.91 + ] + }, + { + "text": "pH", + "bbox_points": [ + 124.11, + 506.89, + 135.68, + 514.91 + ] + }, + { + "text": "19", + "bbox_points": [ + 205.01, + 506.89, + 213.84, + 514.91 + ] + }, + { + "text": "6.68", + "bbox_points": [ + 275.19, + 506.89, + 290.44, + 514.91 + ] + }, + { + "text": "0.76", + "bbox_points": [ + 315.5, + 506.89, + 330.75, + 514.91 + ] + }, + { + "text": "6.50", + "bbox_points": [ + 357.96, + 506.89, + 373.21, + 514.91 + ] + }, + { + "text": "6.00–9.60", + "bbox_points": [ + 404.11, + 506.61, + 438.52, + 514.91 + ] + }, + { + "text": "37%", + "bbox_points": [ + 465.79, + 506.89, + 481.63, + 514.91 + ] + } + ] + }, + { + "text": "Nitrite (mg/L) 19 0.01 0.02 0.01 0.00–0.09 N/A", + "bbox_points": [ + 124.11, + 520.61, + 482.11, + 528.91 + ], + "words": [ + { + "text": "Nitrite", + "bbox_points": [ + 124.11, + 520.89, + 147.82, + 528.91 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 150.19, + 520.89, + 175.58, + 528.91 + ] + }, + { + "text": "19", + "bbox_points": [ + 205.01, + 520.89, + 213.84, + 528.91 + ] + }, + { + "text": "0.01", + "bbox_points": [ + 275.19, + 520.89, + 290.44, + 528.91 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 315.5, + 520.89, + 330.75, + 528.91 + ] + }, + { + "text": "0.01", + "bbox_points": [ + 357.96, + 520.89, + 373.21, + 528.91 + ] + }, + { + "text": "0.00–0.09", + "bbox_points": [ + 404.11, + 520.61, + 438.52, + 528.91 + ] + }, + { + "text": "N/A", + "bbox_points": [ + 465.79, + 520.89, + 482.11, + 528.91 + ] + } + ] + }, + { + "text": "Nitrate (mg/L) 19 0.82 0.99 0.30 0.15–3.50 0%", + "bbox_points": [ + 124.11, + 534.62, + 477.21, + 542.91 + ], + "words": [ + { + "text": "Nitrate", + "bbox_points": [ + 124.11, + 534.9, + 149.28, + 542.91 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 151.66, + 534.9, + 177.05, 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drinking water limit is defined as a pH range of 6 5 8 5 a maximum nitrate concentration of 10 mg/L and a maximum fluoride concentration of 1 5 mg/L (WASREB 2008)", + "bbox_points": [ + 64.01, + 619.97, + 560.84, + 627.24 + ], + "words": [ + { + "text": "aThe", + "bbox_points": [ + 64.01, + 619.97, + 76.19, + 627.24 + ] + }, + { + "text": "bottled", + "bbox_points": [ + 78.18, + 621.24, + 97.34, + 627.24 + ] + }, + { + "text": "drinking", + "bbox_points": [ + 99.38, + 621.24, + 120.98, + 627.24 + ] + }, + { + "text": "water", + "bbox_points": [ + 122.97, + 621.24, + 138.46, + 627.24 + ] + }, + { + "text": "limit", + "bbox_points": [ + 140.48, + 621.24, + 152.15, + 627.24 + ] + }, + { + "text": "is", + "bbox_points": [ + 154.15, + 621.24, + 158.45, + 627.24 + ] + }, + { + "text": "defined", + "bbox_points": [ + 160.44, + 621.2, + 180.65, + 627.24 + ] + }, + { + "text": "as", + "bbox_points": [ + 182.66, + 621.24, + 188.72, + 627.24 + ] + }, + { + "text": "a", + "bbox_points": [ + 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538.13, + 123.71, + 546.15 + ] + }, + { + "text": "$", + "bbox_points": [ + 347.19, + 538.13, + 351.76, + 546.15 + ] + }, + { + "text": "24.10", + "bbox_points": [ + 389.65, + 538.13, + 409.31, + 546.15 + ] + }, + { + "text": "66.72", + "bbox_points": [ + 477.18, + 538.13, + 496.85, + 546.15 + ] + }, + { + "text": "39.42", + "bbox_points": [ + 530.87, + 538.13, + 550.54, + 546.15 + ] + } + ] + }, + { + "text": "Annual cancellation fee – 0.350 0.992 0.589", + "bbox_points": [ + 64.01, + 551.85, + 550.54, + 560.15 + ], + "words": [ + { + "text": "Annual", + "bbox_points": [ + 64.01, + 552.13, + 90.56, + 560.15 + ] + }, + { + "text": "cancellation", + "bbox_points": [ + 92.92, + 552.13, + 136.63, + 560.15 + ] + }, + { + "text": "fee", + "bbox_points": [ + 139.01, + 552.13, + 149.51, + 560.15 + ] + }, + { + "text": "–", + "bbox_points": [ + 347.19, + 551.85, + 351.19, + 559.85 + ] + }, + { + "text": "0.350", + "bbox_points": [ + 389.65, + 552.13, + 409.31, + 560.15 + ] + }, + { + "text": "0.992", + "bbox_points": [ + 477.18, + 552.13, + 496.85, + 560.15 + ] + }, + { + "text": "0.589", + "bbox_points": [ + 530.87, + 552.13, + 550.54, + 560.15 + ] + } + ] + }, + { + "text": "Annual maintenance and repair cost (15% of the annual fixed cost) $ 3.61 10.01 5.91", + "bbox_points": [ + 64.01, + 565.86, + 546.12, + 574.15 + ], + "words": [ + { + "text": "Annual", + "bbox_points": [ + 64.01, + 566.14, + 90.56, + 574.15 + ] + }, + { + "text": "maintenance", + "bbox_points": [ + 92.92, + 566.14, + 139.29, + 574.15 + ] + }, + { + "text": "and", + "bbox_points": [ + 141.68, + 566.14, + 155.16, + 574.15 + ] + }, + { + "text": "repair", + "bbox_points": [ + 157.49, + 566.14, + 178.72, + 574.15 + ] + }, + { + "text": "cost", + "bbox_points": [ + 180.91, + 566.14, + 195.22, + 574.15 + ] + }, + { + "text": "(15%", + "bbox_points": [ + 197.97, + 566.14, + 216.55, + 574.15 + ] + }, + { + "text": "of", + "bbox_points": [ + 218.89, + 566.14, + 225.96, + 574.15 + ] + }, + { + "text": "the", + "bbox_points": [ + 228.36, + 566.14, + 239.68, + 574.15 + ] + }, + { + "text": "annual", + "bbox_points": [ + 242.02, + 566.14, + 266.74, + 574.15 + ] + }, + { + "text": "fixed", + "bbox_points": [ + 269.12, + 565.86, + 286.56, + 574.15 + ] + }, + { + "text": "cost)", + "bbox_points": [ + 288.96, + 566.14, + 305.96, + 574.15 + ] + }, + { + "text": "$", + "bbox_points": [ + 347.19, + 566.14, + 351.76, + 574.15 + ] + }, + { + "text": "3.61", + "bbox_points": [ + 389.65, + 566.14, + 404.9, + 574.15 + ] + }, + { + "text": "10.01", + "bbox_points": [ + 477.18, + 566.14, + 496.85, + 574.15 + ] + }, + { + "text": "5.91", + "bbox_points": [ + 530.87, + 566.14, + 546.12, + 574.15 + ] + } + ] + }, + { + "text": "Annual cost per square meter (annual fixed cost þ maintenance cost – $ 27.36 75.73 44.74", + "bbox_points": [ + 64.01, + 579.86, + 550.54, + 588.16 + ], + "words": [ + { + "text": "Annual", + "bbox_points": [ + 64.01, + 580.14, + 90.56, + 588.16 + ] + }, + { + "text": "cost", + "bbox_points": [ + 92.92, + 580.14, + 107.18, + 588.16 + ] + }, + { + "text": "per", + "bbox_points": [ + 109.59, + 580.14, + 121.32, + 588.16 + ] + }, + { + "text": "square", + "bbox_points": [ + 123.71, + 580.14, + 147.15, + 588.16 + ] + }, + { + "text": "meter", + "bbox_points": [ + 149.5, + 580.14, + 170.24, + 588.16 + ] + }, + { + "text": "(annual", + "bbox_points": [ + 172.63, + 580.14, + 200.09, + 588.16 + ] + }, + { + "text": "fixed", + "bbox_points": [ + 202.45, + 579.86, + 219.89, + 588.16 + ] + }, + { + "text": "cost", + "bbox_points": [ + 222.29, + 580.14, + 236.55, + 588.16 + ] + }, + { + "text": "þ", + "bbox_points": [ + 238.11, + 579.86, + 244.27, + 587.86 + ] + }, + { + "text": "maintenance", + "bbox_points": [ + 245.88, + 580.14, + 292.24, + 588.16 + ] + }, + { + "text": "cost", + "bbox_points": [ + 294.63, + 580.14, + 308.89, + 588.16 + ] + }, + { + "text": "–", + "bbox_points": [ + 311.3, + 579.86, + 315.3, + 587.86 + ] + }, + { + "text": "$", + "bbox_points": [ + 347.19, + 580.14, + 351.76, + 588.16 + ] + }, + { + "text": "27.36", + "bbox_points": [ + 389.65, + 580.14, + 409.31, + 588.16 + ] + }, + { + "text": "75.73", + "bbox_points": [ + 477.18, + 580.14, + 496.85, + 588.16 + ] + }, + { + "text": "44.74", + "bbox_points": [ + 530.87, + 580.14, + 550.54, + 588.16 + ] + } + ] + }, + { + "text": "annual scrapping cost)", + "bbox_points": [ + 72.0, + 590.63, + 153.12, + 598.64 + ], + "words": [ + { + "text": "annual", + "bbox_points": [ + 72.0, + 590.63, + 96.71, + 598.64 + ] + }, + { + "text": "scrapping", + "bbox_points": [ + 99.1, + 590.63, + 133.75, + 598.64 + ] + }, + { + "text": "cost)", + "bbox_points": [ + 136.12, + 590.63, + 153.12, + 598.64 + ] + } + ] + }, + { + "text": "Daily production of fresh water l/m2 3.52 4.03 3.9", + "bbox_points": [ + 64.01, + 603.1, + 541.7, + 612.65 + ], + "words": [ + { + "text": "Daily", + "bbox_points": [ + 64.01, + 604.63, + 83.4, + 612.65 + ] + }, + { + "text": "production", + "bbox_points": [ + 85.78, + 604.63, + 125.27, + 612.65 + ] + }, + { + "text": "of", + "bbox_points": [ + 127.62, + 604.63, + 134.69, + 612.65 + ] + }, + { + "text": "fresh", + "bbox_points": [ + 137.09, + 604.63, + 154.66, + 612.65 + ] + }, + { + "text": "water", + "bbox_points": [ + 156.98, + 604.63, + 176.87, + 612.65 + ] + }, + { + "text": "l/m2", + "bbox_points": [ + 347.19, + 603.1, + 363.43, + 612.65 + ] + }, + { + "text": "3.52", + "bbox_points": [ + 389.65, + 604.63, + 404.9, + 612.65 + ] + }, + { + "text": "4.03", + "bbox_points": [ + 477.18, + 604.63, + 492.43, + 612.65 + ] + }, + { + "text": "3.9", + "bbox_points": [ + 530.87, + 604.63, + 541.7, + 612.65 + ] + } + ] + }, + { + "text": "Annual production (daily production 365) l/m2 1,288.15 1,585.7 1,423.5", + "bbox_points": [ + 64.01, + 617.1, + 556.95, + 626.65 + ], + "words": [ + { + "text": "Annual", + "bbox_points": [ + 64.01, + 618.64, + 90.56, + 626.65 + ] + }, + { + "text": "production", + "bbox_points": [ + 92.92, + 618.64, + 132.41, + 626.65 + ] + }, + { + "text": "(daily", + "bbox_points": [ + 134.76, + 618.64, + 154.9, + 626.65 + ] + }, + { + "text": "production", + "bbox_points": [ + 157.27, + 618.64, + 196.76, + 626.65 + ] + }, + { + "text": "365)", + "bbox_points": [ + 206.02, + 618.64, + 222.01, + 626.65 + ] + }, + { + "text": "l/m2", + "bbox_points": [ + 347.19, + 617.1, + 363.43, + 626.65 + ] + }, + { + "text": "1,288.15", + "bbox_points": [ + 389.65, + 618.64, + 420.15, + 626.65 + ] + }, + { + "text": "1,585.7", + "bbox_points": [ + 477.18, + 618.64, + 503.26, + 626.65 + ] + }, + { + "text": "1,423.5", + "bbox_points": [ + 530.87, + 618.64, + 556.95, + 626.65 + ] + } + ] + }, + { + "text": "Annual useful energy per surface unit (annual production latent heat of kW·h/m2 837.3 1,030.7 925.2", + "bbox_points": [ + 64.01, + 631.11, + 550.54, + 640.65 + ], + "words": [ + { + "text": "Annual", + "bbox_points": [ + 64.01, + 632.64, + 90.56, + 640.65 + ] + }, + { + "text": "useful", + "bbox_points": [ + 92.92, + 632.64, + 114.22, + 640.65 + ] + }, + { + "text": "energy", + "bbox_points": [ + 116.56, + 632.64, + 140.47, + 640.65 + ] + }, + { + "text": "per", + "bbox_points": [ + 142.81, + 632.64, + 154.55, + 640.65 + ] + }, + { + "text": "surface", + "bbox_points": [ + 156.93, + 632.64, + 182.45, + 640.65 + ] + }, + { + "text": "unit", + "bbox_points": [ + 184.82, + 632.64, + 199.04, + 640.65 + ] + }, + { + "text": "(annual", + "bbox_points": [ + 201.77, + 632.64, + 229.23, + 640.65 + ] + }, + { + "text": "production", + "bbox_points": [ + 231.59, + 632.64, + 271.08, + 640.65 + ] + }, + { + "text": "latent", + "bbox_points": [ + 280.35, + 632.64, + 300.54, + 640.65 + ] + }, + { + "text": "heat", + "bbox_points": [ + 302.91, + 632.64, + 318.19, + 640.65 + ] + }, + { + "text": "of", + "bbox_points": [ + 320.6, + 632.64, + 327.67, + 640.65 + ] + }, + { + "text": "kW·h/m2", + "bbox_points": [ + 347.19, + 631.11, + 380.66, + 640.65 + ] + }, + { + "text": "837.3", + "bbox_points": [ + 389.65, + 632.64, + 409.31, + 640.65 + ] + }, + { + "text": "1,030.7", + "bbox_points": [ + 477.18, + 632.64, + 503.26, + 640.65 + ] + }, + { + "text": "925.2", + "bbox_points": [ + 530.87, + 632.64, + 550.54, + 640.65 + ] + } + ] + }, + { + "text": "water vapor) (latent heat of water vapor – kWh/L 0.65)", + "bbox_points": [ + 72.0, + 642.85, + 271.01, + 651.14 + ], + "words": [ + { + "text": "water", + "bbox_points": [ + 72.0, + 643.13, + 91.89, + 651.14 + ] + }, + { + "text": "vapor)", + "bbox_points": [ + 94.28, + 643.13, + 117.66, + 651.14 + ] + }, + { + "text": "(latent", + "bbox_points": [ + 120.02, + 643.13, + 142.93, + 651.14 + ] + }, + { + "text": "heat", + "bbox_points": [ + 145.31, + 643.13, + 160.64, + 651.14 + ] + }, + { + "text": "of", + "bbox_points": [ + 162.99, + 643.13, + 170.07, + 651.14 + ] + }, + { + "text": "water", + "bbox_points": [ + 172.46, + 643.13, + 192.35, + 651.14 + ] + }, + { + "text": "vapor", + "bbox_points": [ + 194.74, + 643.13, + 215.37, + 651.14 + ] + }, + { + "text": "–", + "bbox_points": [ + 217.7, + 642.85, + 221.7, + 650.85 + ] + }, + { + "text": "kWh/L", + "bbox_points": [ + 224.11, + 643.13, + 250.66, + 651.14 + ] + }, + { + "text": "0.65)", + "bbox_points": [ + 253.02, + 643.13, + 271.01, + 651.14 + ] + } + ] + }, + { + "text": "Distilled water cost as per liter in square meter of heat absorption plate $ 0.0187 0.0421 0.0276", + "bbox_points": [ + 64.01, + 657.13, + 554.95, + 665.15 + ], + "words": [ + { + "text": "Distilled", + "bbox_points": [ + 64.01, + 657.13, + 94.16, + 665.15 + ] + }, + { + "text": "water", + "bbox_points": [ + 96.55, + 657.13, + 116.43, + 665.15 + ] + }, + { + "text": "cost", + "bbox_points": [ + 118.66, + 657.13, + 132.92, + 665.15 + ] + }, + { + "text": "as", + "bbox_points": [ + 135.33, + 657.13, + 142.82, + 665.15 + ] + }, + { + "text": "per", + "bbox_points": [ + 145.19, + 657.13, + 156.93, + 665.15 + ] + }, + { + "text": "liter", + "bbox_points": [ + 159.31, + 657.13, + 173.7, + 665.15 + ] + }, + { + "text": "in", + "bbox_points": [ + 176.09, + 657.13, + 183.16, + 665.15 + ] + }, + { + "text": "square", + "bbox_points": [ + 185.56, + 657.13, + 209.0, + 665.15 + ] + }, + { + "text": "meter", + "bbox_points": [ + 211.35, + 657.13, + 232.09, + 665.15 + ] + }, + { + "text": "of", + "bbox_points": [ + 234.31, + 657.13, + 241.39, + 665.15 + ] + }, + { + "text": "heat", + "bbox_points": [ + 243.78, + 657.13, + 259.06, + 665.15 + ] + }, + { + "text": "absorption", + "bbox_points": [ + 261.47, + 657.13, + 299.82, + 665.15 + ] + }, + { + "text": "plate", + "bbox_points": [ + 302.23, + 657.13, + 319.69, + 665.15 + ] + }, + { + "text": "$", + "bbox_points": [ + 347.19, + 657.13, + 351.76, + 665.15 + ] + }, + { + "text": "0.0187", + "bbox_points": [ + 389.65, + 657.13, + 413.73, + 665.15 + ] + }, + { + "text": "0.0421", + "bbox_points": [ + 477.18, + 657.13, + 501.26, + 665.15 + ] + }, + { + "text": "0.0276", + "bbox_points": [ + 530.87, + 657.13, + 554.95, + 665.15 + ] + } + ] + }, + { + "text": "(year fixed cost on yearly production)", + "bbox_points": [ + 72.0, + 667.34, + 206.84, + 675.63 + ], + "words": [ + { + "text": "(year", + "bbox_points": [ + 72.0, + 667.62, + 90.24, + 675.63 + ] + }, + { + "text": "fixed", + "bbox_points": [ + 92.58, + 667.34, + 110.08, + 675.63 + ] + }, + { + "text": "cost", + "bbox_points": [ + 112.42, + 667.62, + 126.74, + 675.63 + ] + }, + { + "text": "on", + "bbox_points": [ + 129.15, + 667.62, + 138.47, + 675.63 + ] + }, + { + "text": "yearly", + "bbox_points": [ + 140.83, + 667.62, + 162.27, + 675.63 + ] + }, + { + "text": "production)", + "bbox_points": [ + 164.64, + 667.62, + 206.84, + 675.63 + ] + } + ] + }, + { + "text": "Distilled water cost for kilowatt hour in square meter of heat absorption $ 0.0287 0.0647 0.426", + "bbox_points": [ + 64.01, + 681.62, + 550.54, + 689.64 + ], + "words": [ + { + "text": "Distilled", + "bbox_points": [ + 64.01, + 681.62, + 94.16, + 689.64 + ] + }, + { + "text": "water", + "bbox_points": [ + 96.55, + 681.62, + 116.43, + 689.64 + ] + }, + { + "text": "cost", + "bbox_points": [ + 118.66, + 681.62, + 132.92, + 689.64 + ] + }, + { + "text": "for", + "bbox_points": [ + 135.33, + 681.62, + 145.56, + 689.64 + ] + }, + { + "text": "kilowatt", + "bbox_points": [ + 147.97, + 681.62, + 176.88, + 689.64 + ] + }, + { + "text": "hour", + "bbox_points": [ + 179.27, + 681.62, + 196.32, + 689.64 + ] + }, + { + "text": "in", + "bbox_points": [ + 198.71, + 681.62, + 205.78, + 689.64 + ] + }, + { + "text": "square", + "bbox_points": [ + 208.12, + 681.62, + 231.57, + 689.64 + ] + }, + { + "text": "meter", + "bbox_points": [ + 233.97, + 681.62, + 254.71, + 689.64 + ] + }, + { + "text": "of", + "bbox_points": [ + 256.88, + 681.62, + 263.95, + 689.64 + ] + }, + { + "text": "heat", + "bbox_points": [ + 266.35, + 681.62, + 281.62, + 689.64 + ] + }, + { + "text": "absorption", + "bbox_points": [ + 284.03, + 681.62, + 322.47, + 689.64 + ] + }, + { + "text": "$", + "bbox_points": [ + 347.19, + 681.62, + 351.76, + 689.64 + ] + }, + { + "text": "0.0287", + "bbox_points": [ + 389.65, + 681.62, + 413.73, + 689.64 + ] + }, + { + "text": "0.0647", + "bbox_points": [ + 477.18, + 681.62, + 501.26, + 689.64 + ] + }, + { + "text": "0.426", + "bbox_points": [ + 530.87, + 681.62, + 550.54, + 689.64 + ] + } + ] + }, + { + "text": "plate (year fixed cost on yearly operable energy level)", + "bbox_points": [ + 72.0, + 691.83, + 263.65, + 700.12 + ], + "words": [ + { + "text": "plate", + "bbox_points": [ + 72.0, + 692.11, + 89.46, + 700.12 + ] + }, + { + "text": "(year", + "bbox_points": [ + 91.84, + 692.11, + 110.08, + 700.12 + ] + }, + { + "text": "fixed", + "bbox_points": [ + 112.42, + 691.83, + 129.92, + 700.12 + ] + }, + { + "text": "cost", + "bbox_points": [ + 132.27, + 692.11, + 146.58, + 700.12 + ] + }, + { + "text": "on", + "bbox_points": [ + 148.99, + 692.11, + 158.31, + 700.12 + ] + }, + { + "text": "yearly", + "bbox_points": [ + 160.67, + 692.11, + 182.17, + 700.12 + ] + }, + { + "text": 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change nanomate/table_03.txt @@ -0,0 +1 @@ +Economic analysis of the present study and comparison with other studies diff --git "a/Figures/Mahanta et al. - 2024 - Accounting for solidarity trust and results as a replacement of contracts in water operators\342\200\231 partn/figure_01.jpg" "b/Figures/Mahanta et al. - 2024 - Accounting for solidarity trust and results as a replacement of contracts in water operators\342\200\231 partn/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..40d406807ac3a6ad7c7c17827040c56fa8c4e4f1 --- /dev/null +++ "b/Figures/Mahanta et al. - 2024 - Accounting for solidarity trust and results as a replacement of contracts in water operators\342\200\231 partn/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0256c6be7b1805fb60922b1c8493ede8f18fd819dcc4b8136053a2389e8a4301 +size 36289 diff --git "a/Figures/Mahanta et al. - 2024 - Accounting for solidarity trust and results as a replacement of 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+} diff --git "a/Figures/Mahanta et al. - 2024 - Accounting for solidarity trust and results as a replacement of contracts in water operators\342\200\231 partn/table_01.txt" "b/Figures/Mahanta et al. - 2024 - Accounting for solidarity trust and results as a replacement of contracts in water operators\342\200\231 partn/table_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..6fd4b340d625dbac6649e2626bc678d753d6d1be --- /dev/null +++ "b/Figures/Mahanta et al. - 2024 - Accounting for solidarity trust and results as a replacement of contracts in water operators\342\200\231 partn/table_01.txt" @@ -0,0 +1 @@ +Conceptual framework adapted from Acar & Robertson (2004) diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_01.jpg b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..da50e247e02550a02c01bf099ddd64edc778b592 --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:122a938d302c66e223a12e74d49cc47d73b7f71695b7bf0743ee9038d9dee24f +size 182562 diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_01.txt b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ac3280dcfc0708b64e4f845a9922f1837694e21 --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_01.txt @@ -0,0 +1 @@ +The climatological rainfall bias (mm/day) of the (a–v) regional climate model experiments with respect to IMD observation over Odisha for the historical period (1986–2005). diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_02.jpg b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9dccce6fc7203d9ef16720505871b0ce00ede0af --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:024a49afe9cd317d013ecd6dee584427b24d9422f6d0833e4a9f097b36d924cd +size 174751 diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_02.txt b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..a51f5dd8165dada6ff08732c1094377d771d776e --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_02.txt @@ -0,0 +1 @@ +(a) Mean annual cycle of the rainfall (mm/day) of the IMD observation and regional climate model experiments averaged over the grid points of Odisha for the historical period (1986–2005). (b) Climatological averaged JJAS mean rainfall (mm/day) of the IMD observation and regional climate model experiments averaged over the grid points of Odisha for the historical period (1986–2005). The red box represents the mean values of the model experiments, the green lines represent the standard error or standard deviation. The black line represents the mean of the IMD observation. The dashed gray lines around the black line represent the mean + 1 standard deviation of the IMD observation. diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_03.jpg b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..dabef1b22521e0063bc8bcc66d1ab29a40d008f2 --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:79efa060db598e900d1619d4e02eefc08e3a4e7d9f0bc91ec3458f93f33ed61d +size 182091 diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_03.txt b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1c82f4a3850f52e71c6da8a998e2d8364704993 --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_03.txt @@ -0,0 +1 @@ +The performance index of the (a–v) regional climate model experiments with respect to IMD observation over Odisha for the historical period (1986–2005). diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_04.jpg b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..171a4d7e97e0c7c61e1ff6345e25be859ddf1153 --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ec57d8c05e3a6edf62d507d8ee079657005b10343462f67b4959f1ffe6c5677 +size 121220 diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_04.txt b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..052a839430002ffb816c283b027092d6496c924c --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_04.txt @@ -0,0 +1 @@ +Change in the daily rainfall anomaly at different SWLs with reference to the mean of the historical period under RCP4.5 and RCP8.5. diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_05.jpg b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f553de4fdfa607166402bb5da7901684b3c992c8 --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f8ba4e043f8e297292c08e982e0de1c4a88ddbea2b13516d18967957aec58313 +size 153668 diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_05.txt b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..225da804a3d183293177fc3d9fd8bdd9716878a5 --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_05.txt @@ -0,0 +1 @@ +The JJAS rainfall during the (a) historical period and (b–g) 1.5, 2, and 3 °C SWTs under RCP4.5 and RCP8.5 and (e–g) the percentage changes w.r.t. the historical period. The regions with 0.05% significance levels are marked with black dots. diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_06.jpg b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9c864ff5e2655ed8339a0896c9c41b05a0017836 --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fdeab26b7ed140ec8179c18376ae41a6cbb84f947ba0dcc37d084f708a11fa35 +size 173478 diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_06.txt b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..90e9aaec0c265126518fbf42250883f2b14855ef --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_06.txt @@ -0,0 +1 @@ +The consecutive dry days (CDD) during the (a) historical period and (b–d) 1.5, 2, and 3 °C SWLs under RCP4.5 and RCP8.5 and (e–g) the changes w.r.t. the historical period. The regions with 0.05% significance levels are marked with black dots. diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_07.jpg b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4e792a26b3518ed8ce6555be9717ab2646e185e9 --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:16028560052d059d447b673831d5454108768d587419929c11d2ca9c5ebbb267 +size 174190 diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_07.txt b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..8be2323f048ed824d41a64c44dcfce4b1742676a --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_07.txt @@ -0,0 +1 @@ +The consecutive wet days (CWD) during the (a) historical period and (b–g) 1.5, 2, and 3 °C SWLs under RCP4.5 and RCP8.5 and (h–m) the changes w.r.t. the historical period. The regions with 0.05% significance levels are marked with black dots. diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_08.jpg b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fb346515d1b7aaf64901995f7e299d6732d5011c --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5787a5993be629b6b1f364bf1f415cb78b966e26c223f6941daf752a5415697e +size 173934 diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_08.txt b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf655c1f8c83e6b579a19959aca8480d11807bbc --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_08.txt @@ -0,0 +1 @@ +The number of days (when rainfall is more than 5 mm/day; R5) during the (a) historical period and (b–g) 1.5, 2, and 3 °C SWLs under RCP4.5 and RCP8.5 and (h–m) the changes w.r.t. the historical period. The regions with 0.05% significance levels are marked with black dots. diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_09.jpg b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5fa7816bd3fbdef4d90e4177bbc81eead812d54a --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:75927f61976f2170cd9eb83243891e8e7308af2eadcc0417c54e433c0ce2e45c +size 178084 diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_09.txt b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ac1041c0eae2485aab89ca9fa2fa4098aa1c2b3 --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_09.txt @@ -0,0 +1 @@ +The moderate wet days (w.r.t. the 75th percentile of the historical period; MWD) during the (a) historical period and (b–g) 1.5, 2, and 3 °C SWLs under RCP4.5 and RCP8.5 and (h–m) the changes w.r.t. the historical period. The regions with 0.05% significance levels are marked with black dots. diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_10.jpg b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ab444f74a29a1d7dc156b86aa6f09f2d7865b27b --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a1e9cfc8f22075b6cf77e168dd4aa3c6572109c3e162b9fcd3d4456c9f571a8 +size 177906 diff --git a/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_10.txt b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..c59c9d353f113c1cbe87f8d85ad3285fb6260a15 --- /dev/null +++ b/Figures/Maharana - 2024 - Projected change in the rainfall behaviour over Odisha/figure_10.txt @@ -0,0 +1 @@ +The number of days (when rainfall is more than 20 mm/day; R20) during the (a) historical period and (b–g) 1.5, 2, and 3 °C SWLs under RCP4.5 and RCP8.5 and (h–m) the changes w.r.t. the historical period. 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2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8aa53a35b4b73bff6b1c86c9869e6a09d1272c28e7da03bd47db9f0a424e588f +size 180132 diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_01.txt b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..02d2d2fc3a5732b090f15c89672f4c59a397b535 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_01.txt @@ -0,0 +1 @@ +The topography map of North America. The zoom section shows the study area of WNA covering the northwest and western states of the United States and the southwest and western provinces and territories of Canada. diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_02.jpg b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..40603dd8acb41253fe17e410e6578eb817076881 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:72d1a3ce977666ea617d17ea5800dddebb5627059a5ae21c2c6e9bef56811881 +size 97994 diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_02.txt b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac429c0a3c9542babc9fe1aa087b5bb7310ef8e3 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_02.txt @@ -0,0 +1 @@ +RGCM-run reduction workflow. The workflow includes two main sections: (a) GCM-runs preparation where we select RCPs, and (b) GCM-runs reduction where we select the RGCM-runs by evaluating their performance on three criteria: (i) capturing changes in the clima- tology of precipitation and temperature, (ii) capturing changes in the extreme indices, and (iii) matching the historical and reference datasets (i.e., history matching). diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_03.jpg b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2e4c6ef32565540dd853ac871279a7f5c3e38780 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cc253a789fdd8847ac2412c7d7939a74506df5f131d35d67bfbb777d7c62a5e6 +size 38343 diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_03.txt b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..997a22be4bee94d7fb6f3d756e059bafa67715fa --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_03.txt @@ -0,0 +1 @@ +Schematic distribution of GCM-runs in two-dimensional DT-DP space. Calculating DT and DP involves determining differences in the average monthly mean climate variables between the second and first 30-year periods and dividing these differences by the average values of the initial 30-year period (Lutz et al. 2016a). diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_04.jpg b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..99a7e24ece1903ace344f14172937612caf58f48 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:53271d83493c474d1e970ae392a9e95ee1cbac6cd110ba5adbf28421b06564ae +size 74318 diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_04.txt b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..4377088174c34ccdc33973b582f293b41916c2a8 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_04.txt @@ -0,0 +1 @@ +Scatter plots of changes in mean air temperature (DT) versus changes in precipitation (DP) projected for the GCM-runs in (a) RCP4.5 and (b) RCP8.5 between 2071 and 2100, and 1981 and 2010. The variation in projected DT and DP is significantly greater for the RCP8.5 model pool compared to the RCP4.5 model pool. The 10th and 90th percentile values (corners of the full climatic spectrum) for DT and DP are highlighted by red symbols. Gray circles reflect the model-runs that were not chosen for the next stage of GCM reduction. The GCM- runs are selected that demonstrate minimum distance from the 10th and 90th percentile values of DT (C) and DP (%), while possessing daily data. From the 105 GCM-runs of RCP4.5 and 77 GCM-runs of RCP8.5, we selected a total of 20 model-runs for each RCP. diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_05.jpg b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..71e149263a70fca8d7f63ff8cb03abf508bf14ed --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c25fdefe8ed142c99432be257fad52e7d8c7cc397187ebc5aad12317b51a9e68 +size 170669 diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_05.txt b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..30ff4a60ccaf2dd6900d1ab531c2f08c24208ccc --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_05.txt @@ -0,0 +1 @@ +Refined selection of the GCM-runs from the ensembles of RCP4.5 (a)–(d), and RCP8.5 (e)–(h) based on the relevant indices. To obtain the final score for each GCM-run, the two relevant indices are scored and averaged (shown in black color). The two highest final scores are then used to choose two or three GCM-runs from a total of five GCM-runs in each corner. Calculating the average rank helps to eliminate models that exhibit the greatest change in one ETCCDI index but the lowest change in another. During the refined selection, 10 GCM-runs were selected out of 20. diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_06.jpg b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ee163b0cfa54c20817d6b463565bb25c01b87890 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a26de241af98037c623791eca2b7c2f2ab092324fc411d0c94455c59aedd01d +size 181159 diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_06.txt b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..9909e471ce7355e6adcfa0252886414ddc2b5efb --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_06.txt @@ -0,0 +1 @@ +Changes in projected DT, DWSDI, and DCSDI between 2071–2100 and 1981–2010 for RCP4.5 and RCP8.5 across the full-set of GCM-runs ((a), (c), (e), and (g)) and the 20 GCM-runs from the initial selection ((b), (d), (f), and (h)). The extent of change in the indices, as indicated by the shadow colors in the figure, is closely associated with changes in temperature and precipitation in both GCM-run sets. In both RCPs from the 20 GCM-runs and the full-set, models that project the greatest increases in mean air temperature show the largest increases in warm spells and the most significant declines in cold spells, see (a), (b), (e), and (f). For precipitation, the general correlation between models that exhibit a larger increase in total precipitation and those that predict a greater increase in precipitation on extremely wet days holds for both RCPs, see (c), (d), (g), and (h). diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_07.jpg b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1d49d6a5df6a72990633072d73a2f9754dc43325 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4b67baf6cac53b66d964e122b29032b80d9b8e56936e027e7dfd2b42b900969d +size 182637 diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_07.txt b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..59a729e68040f2556b735ea8f86762151c725b78 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_07.txt @@ -0,0 +1 @@ +The seasonal mean changes in temperature and precipitation between 1981–2010 and 2071–2100 for three sets of GCMruns: (i) full ensemble GCM-runs, including 77 and 105 GCM-runs for RCP8.5 and RCP4.5, respectively; (ii) 20 GCM-runs for each RCP obtained from the initial selection process based on the changes in climatic means; and (iii) 10 GCM-runs for each RCP obtained from the refined selection process based on the changes in extreme indices. The mean air temperature change for the sets of GCM-runs is about the same for the months for RCP4.5 and RCP8.5 ((a) and (c)). The analysis of the results shows that the average change in precipitation during the period from August to December is approximately the same for both RCPs ((b) and (d)). diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_08.jpg b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..902c4ac133c35cbb7695fbc5a8f2603de99e9171 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:130785977427970a7589ef6e839ddfed32e42e77656d21131fdbe659a6d9b331 +size 150406 diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_08.txt b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..33ae8a5ff83862b9b4fa95b2d94bdc85b0d9a2df --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_08.txt @@ -0,0 +1 @@ +Monthly averages of (a) mean air temperature (T) and (b) precipitation (P) for the reference and the sets of GCM-runs. The reference data sets used for this evaluation include temperature data from ERA5 and precipitation data from GPCP-version 2.3. The GCM-runs obtained from the refined selection step properly captured the full behavior and uncertainty domain of the full-set ensembles. There is also relatively considerable divergence among the models in terms of precipitation compared to temperature, showing a broader range of uncertainty in precipitation and the difficulty of accurate model projection for precipitation. diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_09.jpg b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ce845a48c0cfbd197a5cfd86fc77a3ebfd110a91 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:27c0586fd3cb2cb7edcb850e39613e05dada4ee391d43b7a1559e00774b3033c +size 140150 diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_09.txt b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ec271a23a68b0284ef561979076c0bbbc0d8307 --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/figure_09.txt @@ -0,0 +1 @@ +(a) Average T for the model-run sets from RCP4.5. (b) Average P for the model-run sets from RCP4.5. (c) Average T for the model- run sets from RCP8.5. (d) Average P for the model-run sets from RCP4.8. The monthly climatic behavior of four RGCM-runs from each RCP is closer to the reference. diff --git a/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/manifest.json b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..13bc22d12f3a7d09cceeedca8fb252e429a7804b --- /dev/null +++ b/Figures/Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North/manifest.json @@ -0,0 +1,290 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Mahjour et al. - 2024 - Selection of representative general circulation models under climatic uncertainty for Western North.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 10, + "items": [ + { + "kind": "figure", + "label": "figure_01", + "page": 3, + "caption": "The topography map of North America. The zoom section shows the study area of WNA covering the northwest and western states of the United States and the southwest and western provinces and territories of Canada.", + "image": "figure_01.jpg", + "caption_file": "figure_01.txt", + "figure_bbox_points": [ + 75.47, + 77.28, + 513.57, + 372.58 + ], + "caption_bbox_points": [ + 43.43, + 374.06, + 539.51, + 392.27 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 180132, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_02", + "page": 4, + "caption": "RGCM-run reduction workflow. The workflow includes two main sections: (a) GCM-runs preparation where we select RCPs, and (b) GCM-runs reduction where we select the RGCM-runs by evaluating their performance on three criteria: (i) capturing changes in the clima- tology of precipitation and temperature, (ii) capturing changes in the extreme indices, and (iii) matching the historical and reference datasets (i.e., history matching).", + "image": "figure_02.jpg", + "caption_file": "figure_02.txt", + "figure_bbox_points": [ + 95.99, + 77.28, + 534.09, + 449.73 + ], + "caption_bbox_points": [ + 64.01, + 451.22, + 566.04, + 489.44 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 97994, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_03", + "page": 6, + "caption": "Schematic distribution of GCM-runs in two-dimensional DT-DP space. Calculating DT and DP involves determining differences in the average monthly mean climate variables between the second and first 30-year periods and dividing these differences by the average values of the initial 30-year period (Lutz et al. 2016a).", + "image": "figure_03.jpg", + "caption_file": "figure_03.txt", + "figure_bbox_points": [ + 197.98, + 76.54, + 432.15, + 289.75 + ], + "caption_bbox_points": [ + 64.0, + 291.23, + 565.99, + 319.41 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 38343, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_04", + "page": 8, + "caption": "Scatter plots of changes in mean air temperature (DT) versus changes in precipitation (DP) projected for the GCM-runs in (a) RCP4.5 and (b) RCP8.5 between 2071 and 2100, and 1981 and 2010. The variation in projected DT and DP is significantly greater for the RCP8.5 model pool compared to the RCP4.5 model pool. The 10th and 90th percentile values (corners of the full climatic spectrum) for DT and DP are highlighted by red symbols. Gray circles reflect the model-runs that were not chosen for the next stage of GCM reduction. The GCM- runs are selected that demonstrate minimum distance from the 10th and 90th percentile values of DT (\u0003C) and DP (%), while possessing daily data. From the 105 GCM-runs of RCP4.5 and 77 GCM-runs of RCP8.5, we selected a total of 20 model-runs for each RCP.", + "image": "figure_04.jpg", + "caption_file": "figure_04.txt", + "figure_bbox_points": [ + 78.02, + 77.28, + 552.12, + 313.05 + ], + "caption_bbox_points": [ + 64.0, + 314.53, + 566.06, + 372.76 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 74318, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_05", + "page": 9, + "caption": "Refined selection of the GCM-runs from the ensembles of RCP4.5 (a)–(d), and RCP8.5 (e)–(h) based on the relevant indices. To obtain the final score for each GCM-run, the two relevant indices are scored and averaged (shown in black color). The two highest final scores are then used to choose two or three GCM-runs from a total of five GCM-runs in each corner. 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The extent of change in the indices, as indicated by the shadow colors in the figure, is closely associated with changes in temperature and precipitation in both GCM-run sets. In both RCPs from the 20 GCM-runs and the full-set, models that project the greatest increases in mean air temperature show the largest increases in warm spells and the most significant declines in cold spells, see (a), (b), (e), and (f). For precipitation, the general correlation between models that exhibit a larger increase in total precipitation and those that predict a greater increase in precipitation on extremely wet days holds for both RCPs, see (c), (d), (g), and (h).", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 95.99, + 77.28, + 534.09, + 650.37 + ], + "caption_bbox_points": [ + 64.01, + 651.85, + 565.99, + 720.06 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 181159, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_07", + "page": 11, + "caption": "The seasonal mean changes in temperature and precipitation between 1981–2010 and 2071–2100 for three sets of GCMruns: (i) full ensemble GCM-runs, including 77 and 105 GCM-runs for RCP8.5 and RCP4.5, respectively; (ii) 20 GCM-runs for each RCP obtained from the initial selection process based on the changes in climatic means; and (iii) 10 GCM-runs for each RCP obtained from the refined selection process based on the changes in extreme indices. The mean air temperature change for the sets of GCM-runs is about the same for the months for RCP4.5 and RCP8.5 ((a) and (c)). The analysis of the results shows that the average change in precipitation during the period from August to December is approximately the same for both RCPs ((b) and (d)).", + "image": "figure_07.jpg", + "caption_file": "figure_07.txt", + "figure_bbox_points": [ + 75.47, + 77.28, + 513.57, + 496.17 + ], + "caption_bbox_points": [ + 43.43, + 497.65, + 545.56, + 555.88 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 182637, + "jpeg_quality": 87, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_08", + "page": 12, + "caption": "Monthly averages of (a) mean air temperature (\u0001T) and (b) precipitation (\u0001P) for the reference and the sets of GCM-runs. 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"Pure error 3.19 5 0.6387", + "bbox_points": [ + 43.43, + 367.88, + 349.55, + 375.9 + ], + "words": [ + { + "text": "Pure", + "bbox_points": [ + 43.43, + 367.88, + 60.01, + 375.9 + ] + }, + { + "text": "error", + "bbox_points": [ + 62.36, + 367.88, + 80.25, + 375.9 + ] + }, + { + "text": "3.19", + "bbox_points": [ + 162.71, + 367.88, + 177.96, + 375.9 + ] + }, + { + "text": "5", + "bbox_points": [ + 240.49, + 367.88, + 244.91, + 375.9 + ] + }, + { + "text": "0.6387", + "bbox_points": [ + 325.47, + 367.88, + 349.55, + 375.9 + ] + } + ] + }, + { + "text": "Cor total 14,644.03 29", + "bbox_points": [ + 43.43, + 380.0, + 249.32, + 389.9 + ], + "words": [ + { + "text": "Cor", + "bbox_points": [ + 43.43, + 380.0, + 57.34, + 388.0 + ] + }, + { + "text": "total", + "bbox_points": [ + 59.7, + 380.0, + 76.59, + 388.0 + ] + }, + { + "text": "14,644.03", + "bbox_points": [ + 162.71, + 381.88, + 197.62, + 389.9 + ] + }, + { + "text": "29", + "bbox_points": [ + 240.49, + 381.88, + 249.32, + 389.9 + ] + } + ] + }, + { + "text": "Fit statistics", + "bbox_points": [ + 43.43, + 394.01, + 86.92, + 402.01 + ], + "words": [ + { + "text": "Fit", + "bbox_points": [ + 43.43, + 394.01, + 53.24, + 402.01 + ] + }, + { + "text": "statistics", + "bbox_points": [ + 55.67, + 394.01, + 86.92, + 402.01 + ] + } + ] + }, + { + "text": "Std. dev. 5.26 R² 0.9716", + "bbox_points": [ + 43.43, + 408.01, + 349.55, + 417.91 + ], + "words": [ + { + "text": "Std.", + "bbox_points": [ + 43.43, + 408.01, + 57.91, + 416.01 + ] + }, + { + "text": "dev.", + "bbox_points": [ + 60.32, + 408.01, + 75.38, + 416.01 + ] + }, + { + "text": "5.26", + "bbox_points": [ + 162.71, + 409.89, + 177.96, + 417.91 + ] + }, + { + "text": "R²", + "bbox_points": [ + 240.49, + 408.01, + 248.99, + 417.61 + ] + }, + { + "text": "0.9716", + "bbox_points": [ + 325.47, + 409.89, + 349.55, + 417.91 + ] + } + ] + }, + { + "text": "Mean 79.51 Adjusted R² 0.9452", + "bbox_points": [ + 43.43, + 422.01, + 349.55, + 431.91 + ], + "words": [ + { 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] + } + ] + }, + { + "text": "Scenario 1 (Maruba bathymetric survey) Average sediment load Qs (Mt/a) 9.9 5.9 15.8", + "bbox_points": [ + 64.01, + 646.6, + 524.74, + 654.71 + ], + "words": [ + { + "text": "Scenario", + "bbox_points": [ + 64.01, + 646.7, + 95.72, + 654.71 + ] + }, + { + "text": "1", + "bbox_points": [ + 98.02, + 646.7, + 102.44, + 654.71 + ] + }, + { + "text": "(Maruba", + "bbox_points": [ + 104.83, + 646.7, + 135.78, + 654.71 + ] + }, + { + "text": "bathymetric", + "bbox_points": [ + 138.16, + 646.7, + 180.93, + 654.71 + ] + }, + { + "text": "survey)", + "bbox_points": [ + 183.23, + 646.7, + 208.85, + 654.71 + ] + }, + { + "text": "Average", + "bbox_points": [ + 229.1, + 646.7, + 257.87, + 654.71 + ] + }, + { + "text": "sediment", + "bbox_points": [ + 260.22, + 646.7, + 292.77, + 654.71 + ] + }, + { + "text": "load", + "bbox_points": [ + 295.14, + 646.7, + 310.78, + 654.71 + ] + }, + { + "text": "Qs", + "bbox_points": [ + 313.11, + 646.6, + 322.95, + 654.6 + ] + }, + { + "text": "(Mt/a)", + "bbox_points": [ + 325.36, + 646.7, + 348.9, + 654.71 + ] + }, + { + "text": "9.9", + "bbox_points": [ + 373.83, + 646.7, + 384.66, + 654.71 + ] + }, + { + "text": "5.9", + "bbox_points": [ + 440.05, + 646.7, + 450.88, + 654.71 + ] + }, + { + "text": "15.8", + "bbox_points": [ + 509.5, + 646.7, + 524.74, + 654.71 + ] + } + ] + }, + { + "text": "Estimated sediment yield (t/km2/a) 1,405", + "bbox_points": [ + 229.1, + 655.66, + 393.5, + 665.2 + ], + "words": [ + { + "text": "Estimated", + "bbox_points": [ + 229.1, + 657.19, + 264.74, + 665.2 + ] + }, + { + "text": "sediment", + "bbox_points": [ + 267.14, + 657.19, + 299.59, + 665.2 + ] + }, + { + "text": "yield", + "bbox_points": [ + 302.0, + 657.19, + 319.23, + 665.2 + ] + }, + { + "text": "(t/km2/a)", + "bbox_points": [ + 321.62, + 655.66, + 355.85, + 665.2 + ] + }, + { + "text": "1,405", + "bbox_points": [ + 373.83, + 657.19, + 393.5, + 665.2 + ] + } + ] + }, + { + "text": "Scenario 2 (Masinga bathymetric survey) Average sediment load Qs (Mt/a) 9.5 5.4 14.4", + "bbox_points": [ + 64.01, + 671.09, + 524.75, + 679.21 + ], + "words": [ + { + "text": "Scenario", + "bbox_points": [ + 64.01, + 671.19, + 95.72, + 679.21 + ] + }, + { + "text": "2", + "bbox_points": [ + 98.02, + 671.19, + 102.44, + 679.21 + ] + }, + { + "text": "(Masinga", + "bbox_points": [ + 104.83, + 671.19, + 138.03, + 679.21 + ] + }, + { + "text": "bathymetric", + "bbox_points": [ + 140.37, + 671.19, + 183.15, + 679.21 + ] + }, + { + "text": "survey)", + "bbox_points": [ + 185.5, + 671.19, + 211.12, + 679.21 + ] + }, + { + "text": "Average", + "bbox_points": [ + 229.1, + 671.19, + 257.87, + 679.21 + ] + }, + { + "text": "sediment", + "bbox_points": [ + 260.22, + 671.19, + 292.77, + 679.21 + ] + }, + { + "text": "load", + "bbox_points": [ + 295.15, + 671.19, + 310.79, + 679.21 + ] + }, + { + "text": "Qs", + "bbox_points": [ + 313.12, + 671.09, + 322.95, + 679.09 + ] + }, + { + "text": "(Mt/a)", + "bbox_points": [ + 325.36, + 671.19, + 348.9, + 679.21 + ] + }, + { + "text": "9.5", + "bbox_points": [ + 373.83, + 671.19, + 384.66, + 679.21 + ] + }, + { + "text": "5.4", + "bbox_points": [ + 440.05, + 671.19, + 450.88, + 679.21 + ] + }, + { + "text": "14.4", + "bbox_points": [ + 509.5, + 671.19, + 524.75, + 679.21 + ] + } + ] + }, + { + "text": "Estimated sediment yield (t/km2/a) 1,260", + "bbox_points": [ + 229.1, + 680.15, + 393.5, + 689.69 + ], + "words": [ + { + "text": "Estimated", + "bbox_points": [ + 229.1, + 681.68, + 264.74, + 689.69 + ] + }, + { + "text": "sediment", + "bbox_points": [ + 267.14, + 681.68, + 299.59, + 689.69 + ] + }, + { + "text": "yield", + "bbox_points": [ + 302.0, + 681.68, + 319.23, + 689.69 + ] + }, + { + "text": "(t/km2/a)", + "bbox_points": [ + 321.62, + 680.15, + 355.85, + 689.69 + ] + }, + { + "text": "1,260", + "bbox_points": [ + 373.83, + 681.68, + 393.5, + 689.69 + ] + } + ] + }, + { + "text": "Scenario 3 (RUSLE þ climate factor) Average sediment load Qs (Mt/a) 16.5 9.8 26.3", + "bbox_points": [ + 64.01, + 695.4, + 524.75, + 703.7 + ], + "words": [ + { + "text": "Scenario", + "bbox_points": [ + 64.01, + 695.68, + 95.72, + 703.7 + ] + }, + { + "text": "3", + "bbox_points": [ + 98.02, + 695.68, + 102.44, + 703.7 + ] + }, + { + "text": "(RUSLE", + "bbox_points": [ + 104.83, + 695.68, + 135.04, + 703.7 + ] + }, + { + "text": "þ", + "bbox_points": [ + 136.57, + 695.4, + 142.73, + 703.4 + ] + }, + { + "text": "climate", + "bbox_points": [ + 144.28, + 695.68, + 170.48, + 703.7 + ] + }, + { + "text": "factor)", + "bbox_points": [ + 172.86, + 695.68, + 196.43, + 703.7 + ] + }, + { + "text": "Average", + "bbox_points": [ + 229.1, + 695.68, + 257.87, + 703.7 + ] + }, + { + "text": "sediment", + "bbox_points": [ + 260.22, + 695.68, + 292.77, + 703.7 + ] + }, + { + "text": "load", + "bbox_points": [ + 295.14, + 695.68, + 310.78, + 703.7 + ] + }, + { + "text": "Qs", + "bbox_points": [ + 313.12, + 695.58, + 322.95, + 703.58 + ] + }, + { + "text": "(Mt/a)", + "bbox_points": [ + 325.36, + 695.68, + 348.9, + 703.7 + ] + }, + { + "text": "16.5", + "bbox_points": [ + 373.83, + 695.68, + 389.08, + 703.7 + ] + }, + { + "text": "9.8", + "bbox_points": [ + 440.05, + 695.68, + 450.88, + 703.7 + ] + }, + { + "text": "26.3", + "bbox_points": [ + 509.5, + 695.68, + 524.75, + 703.7 + ] + } + ] + }, + { + "text": "Estimated sediment yield (t/km2/a) 2,327", + "bbox_points": [ + 229.1, + 704.64, + 393.5, + 714.19 + ], + "words": [ + { + "text": "Estimated", + "bbox_points": [ + 229.1, + 706.17, + 264.74, + 714.19 + ] + }, + { + "text": "sediment", + "bbox_points": [ + 267.14, + 706.17, + 299.59, + 714.19 + ] + }, + { + "text": "yield", + "bbox_points": [ + 302.0, + 706.17, + 319.23, + 714.19 + ] + }, + { + "text": "(t/km2/a)", + "bbox_points": [ + 321.62, + 704.64, + 355.85, + 714.19 + ] + }, + { + "text": "2,327", + "bbox_points": [ + 373.83, + 706.17, + 393.5, + 714.19 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Maiyo et al. - 2024 - Evaluation of sediment generation and transport a case study of Thwake Dam in Kenya/table_01.txt b/Figures/Maiyo et al. - 2024 - Evaluation of sediment generation and transport a case study of Thwake Dam in Kenya/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..7cd58ecaac4bba4f77ab81f134d5e5a5f22d61f4 --- /dev/null +++ b/Figures/Maiyo et al. - 2024 - Evaluation of sediment generation and transport a case study of Thwake Dam in Kenya/table_01.txt @@ -0,0 +1 @@ +Summary of reservoir loss calculation diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_01.jpg b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..49570bbb091ea9cacf76da41ed50445262634118 --- /dev/null +++ b/Figures/Majidi et al. - 2024 - 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river and urban footprint, and (c) elevation map. diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_02.jpg b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7224afcc7f086ffca567a1fe0ecba841f4dd3fce --- /dev/null +++ b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:11586488caab63dbc8984f75a4736702c55e1f79eda07bbb33c742b07b8997fb +size 124778 diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_02.txt b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the 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https://git-lfs.github.com/spec/v1 +oid sha256:59e53c504009e70e9e67ed70878947bff03fa57cf7bc0849d90399f1b00019ea +size 73694 diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_03.txt b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..5f91b1db501f860494b3d496013b97982c082b3e --- /dev/null +++ b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_03.txt @@ -0,0 +1 @@ +Meteorological data and anticipation for three SSP scenarios: (a) temperature values for the period of 2040–2060 and 2070–2090, and (b) annual total precipitation in periods of 2040–2060 and 2070–2090; all compared with the baseline. diff --git a/Figures/Majidi et al. - 2024 - 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mode 100644 index 0000000000000000000000000000000000000000..eb800ebfa54a2951807ceed0427c9301a30895b6 --- /dev/null +++ b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_04.txt @@ -0,0 +1 @@ +(a) Projected land use maps and (b) proportion of each classification for the years 2018, 2050, and 2080. diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_05.jpg b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ff06e04c67d06752c099537005d5a19db4af119c --- /dev/null +++ b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:797b82eb1d3db9f156aa5fdb840a5a5caa71fcb7dae7cea2b1e530dbedcb071e +size 87173 diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_05.txt b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac7f495019e36641c319d496366a0fa9b66137f8 --- /dev/null +++ b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_05.txt @@ -0,0 +1 @@ +Flood hydrograph in 15 scenarios in the 100-year RP. diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_06.jpg b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a120174228ceb95ad99cd0ff154407623afe9a30 --- /dev/null +++ b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f5fe44ac54c348c4715ef2648fb7875323216abdecc5310f15ef0d9cf7ea3721 +size 180236 diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_06.txt b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..04d1415735bff99182713a6a6111c12cbd443154 --- /dev/null +++ b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_06.txt @@ -0,0 +1 @@ +Flood inundation map for the 25-, 50-, and 100-year RPs in the present situation scenario (a) in different land use areas and (b) the depth of water in inundation areas. diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_07.jpg b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1cc4364ea8d648d9d90b10638ae15e13551818de --- /dev/null +++ b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a7e2851e8fe318ec643fc1c1e6e60fd3f768b6e790620285f5f1d6ca23e794c8 +size 182839 diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_07.txt b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..a408126815cf935a5106511cb68b973bf842751f --- /dev/null +++ b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_07.txt @@ -0,0 +1 @@ +Flood inundation map for the 25-, 50-, and 100-year RPs in the maximum flood scenario (a) flood-affected areas based on land use type, and (b) according to the flood depth. diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_08.jpg b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fe255e6a424e4d5094c5578271c7738e94296e42 --- /dev/null +++ b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9b1904f22f212a6a613ed401da2153963e94a1bb294c666f3702f1c6507b0ac3 +size 79592 diff --git a/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_08.txt b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts of climate and land use changes on flood damage (Case study A/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ec24a1d9e3f3e2501be76b37da872e028849d5a --- /dev/null +++ b/Figures/Majidi et al. - 2024 - Comprehensive analysis of the impacts 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"bbox_points": [ + 298.38, + 235.84, + 323.35, + 243.86 + ] + } + ] + }, + { + "text": "0.35–0.40 0.59–0.65 Marked settling of gravels and cobbles; spreading nearly complete on horizontal", + "bbox_points": [ + 125.92, + 246.05, + 504.8, + 254.35 + ], + "words": [ + { + "text": "0.35–0.40", + "bbox_points": [ + 125.92, + 246.05, + 160.33, + 254.35 + ] + }, + { + "text": "0.59–0.65", + "bbox_points": [ + 171.16, + 246.05, + 205.57, + 254.35 + ] + }, + { + "text": "Marked", + "bbox_points": [ + 216.06, + 246.33, + 244.08, + 254.35 + ] + }, + { + "text": "settling", + "bbox_points": [ + 246.5, + 246.33, + 272.38, + 254.35 + ] + }, + { + "text": "of", + "bbox_points": [ + 274.74, + 246.33, + 281.81, + 254.35 + ] + }, + { + "text": "gravels", + "bbox_points": [ + 284.15, + 246.33, + 308.77, + 254.35 + ] + }, + { + "text": "and", + "bbox_points": [ + 311.13, + 246.33, + 324.61, + 254.35 + ] + }, + { + "text": "cobbles;", + "bbox_points": [ + 327.01, + 246.33, + 356.4, + 254.35 + ] + }, + { + "text": "spreading", + "bbox_points": [ + 358.76, + 246.33, + 393.45, + 254.35 + ] + }, + { + "text": "nearly", + "bbox_points": [ + 395.78, + 246.33, + 418.17, + 254.35 + ] + }, + { + "text": "complete", + "bbox_points": [ + 420.55, + 246.33, + 453.61, + 254.35 + ] + }, + { + "text": "on", + "bbox_points": [ + 455.93, + 246.33, + 465.25, + 254.35 + ] + }, + { + "text": "horizontal", + "bbox_points": [ + 467.61, + 246.33, + 504.8, + 254.35 + ] + } + ] + }, + { + "text": "surface; liquid surface with two fluid phases appears; waves travel on surface", + "bbox_points": [ + 224.05, + 256.54, + 500.04, + 264.84 + ], + "words": [ + { + "text": "surface;", + "bbox_points": [ + 224.05, + 256.82, + 251.96, + 264.84 + ] + }, + { + "text": "liquid", + "bbox_points": [ + 254.33, + 256.82, + 274.88, + 264.84 + ] + }, + { + "text": "surface", + "bbox_points": [ + 277.23, + 256.82, + 302.75, + 264.84 + ] + }, + { + "text": "with", + "bbox_points": [ + 304.95, + 256.82, + 320.93, + 264.84 + ] + }, + { + "text": "two", + "bbox_points": [ + 323.32, + 256.82, + 336.8, + 264.84 + ] + }, + { + "text": "fluid", + "bbox_points": [ + 339.2, + 256.54, + 355.38, + 264.84 + ] + }, + { + "text": "phases", + "bbox_points": [ + 357.79, + 256.82, + 381.93, + 264.84 + ] + }, + { + "text": "appears;", + "bbox_points": [ + 384.27, + 256.82, + 414.55, + 264.84 + ] + }, + { + "text": "waves", + "bbox_points": [ + 416.92, + 256.82, + 438.37, + 264.84 + ] + }, + { + "text": "travel", + "bbox_points": [ + 440.56, + 256.82, + 460.44, + 264.84 + ] + }, + { + "text": "on", + "bbox_points": [ + 462.85, + 256.82, + 472.17, + 264.84 + ] + }, + { + "text": "surface", + "bbox_points": [ + 474.52, + 256.82, + 500.04, + 264.84 + ] + } + ] + }, + { + "text": "0.30–0.35 0.54–0.59 Separation of water on surface; waves travel easily; most sand and gravel have settled", + "bbox_points": [ + 125.92, + 267.08, + 522.23, + 275.38 + ], + "words": [ + { + "text": "0.30–0.35", + "bbox_points": [ + 125.92, + 267.08, + 160.33, + 275.38 + ] + }, + { + "text": "0.54–0.59", + "bbox_points": [ + 171.16, + 267.08, + 205.57, + 275.38 + ] + }, + { + "text": "Separation", + "bbox_points": [ + 216.06, + 267.36, + 254.72, + 275.38 + ] + }, + { + "text": "of", + "bbox_points": [ + 257.11, + 267.36, + 264.18, + 275.38 + ] + }, + { + "text": "water", + "bbox_points": [ + 266.57, + 267.36, + 286.46, + 275.38 + ] + }, + { + "text": "on", + "bbox_points": [ + 288.69, + 267.36, + 298.01, + 275.38 + ] + }, + { + "text": "surface;", + "bbox_points": [ + 300.36, + 267.36, + 328.21, + 275.38 + ] + }, + { + "text": "waves", + "bbox_points": [ + 330.58, + 267.36, + 352.03, + 275.38 + ] + }, + { + "text": "travel", + "bbox_points": [ + 354.28, + 267.36, + 374.1, + 275.38 + ] + }, + { + "text": "easily;", + "bbox_points": [ + 376.5, + 267.36, + 398.98, + 275.38 + ] + }, + { + "text": "most", + "bbox_points": [ + 401.34, + 267.36, + 418.6, + 275.38 + ] + }, + { + "text": "sand", + "bbox_points": [ + 421.01, + 267.36, + 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Distinct wave action; fluid surface; all particles resting on bed in quiescent fluid", + "bbox_points": [ + 125.92, + 288.06, + 502.16, + 296.36 + ], + "words": [ + { + "text": "0.20–0.30", + "bbox_points": [ + 125.92, + 288.06, + 160.33, + 296.36 + ] + }, + { + "text": "0.41–0.54", + "bbox_points": [ + 171.16, + 288.06, + 205.57, + 296.36 + ] + }, + { + "text": "Distinct", + "bbox_points": [ + 216.06, + 288.34, + 244.36, + 296.36 + ] + }, + { + "text": "wave", + "bbox_points": [ + 246.73, + 288.34, + 264.85, + 296.36 + ] + }, + { + "text": "action;", + "bbox_points": [ + 267.26, + 288.34, + 291.78, + 296.36 + ] + }, + { + "text": "fluid", + "bbox_points": [ + 294.13, + 288.06, + 310.37, + 296.36 + ] + }, + { + "text": "surface;", + "bbox_points": [ + 312.72, + 288.34, + 340.57, + 296.36 + ] + }, + { + "text": "all", + "bbox_points": [ + 343.0, + 288.34, + 351.81, + 296.36 + ] + }, + { + "text": "particles", + "bbox_points": [ + 354.17, + 288.34, + 384.62, + 296.36 + ] + }, + { + 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}, + { + "text": "flood", + "bbox_points": [ + 95.02, + 312.55, + 113.51, + 320.85 + ] + }, + { + "text": ",0.20", + "bbox_points": [ + 125.92, + 312.55, + 147.8, + 320.85 + ] + }, + { + "text": ",0.41", + "bbox_points": [ + 171.16, + 312.55, + 193.04, + 320.85 + ] + }, + { + "text": "Water", + "bbox_points": [ + 216.06, + 312.83, + 237.87, + 320.85 + ] + }, + { + "text": "flood", + "bbox_points": [ + 240.27, + 312.55, + 258.7, + 320.85 + ] + }, + { + "text": "with", + "bbox_points": [ + 261.07, + 312.83, + 277.05, + 320.85 + ] + }, + { + "text": "conventional", + "bbox_points": [ + 279.44, + 312.83, + 326.11, + 320.85 + ] + }, + { + "text": "suspended", + "bbox_points": [ + 328.54, + 312.83, + 366.17, + 320.85 + ] + }, + { + "text": "load", + "bbox_points": [ + 368.57, + 312.83, + 384.21, + 320.85 + ] + }, + { + "text": "and", + "bbox_points": [ + 386.59, + 312.83, + 400.07, + 320.85 + ] + }, + { + "text": "bedload", + "bbox_points": [ + 402.41, + 312.83, + 431.04, + 320.85 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Majumdar et al. - 2025 - Probabilistic assessment of peak discharge and debris flow concentration in the Surma River using Mo/table_01.txt b/Figures/Majumdar et al. - 2025 - Probabilistic assessment of peak discharge and debris flow concentration in the Surma River using Mo/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..db1b37cd0742bee00cdca19a02c7869754fe8ee6 --- /dev/null +++ b/Figures/Majumdar et al. - 2025 - Probabilistic assessment of peak discharge and debris flow concentration in the Surma River using Mo/table_01.txt @@ -0,0 +1 @@ +Classification of mudflow sediment concentration in the N.R.C (O’Brien 2009; FLO-2D reference manual) diff --git a/Figures/Majumdar et al. - 2025 - Probabilistic assessment of peak discharge and debris flow concentration in the Surma River using Mo/table_02.jpg b/Figures/Majumdar et al. - 2025 - Probabilistic assessment of peak discharge and debris flow 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and debris flow concentration in the Surma River using Mo/table_02.json @@ -0,0 +1,1874 @@ +{ + "kind": "table", + "label": "table_02", + "number": 2, + "caption": "Water level and discharge data from the BWDB", + "page": 9, + "table_bbox_points": [ + 67.87, + 85.1, + 527.41, + 484.94 + ], + "caption_bbox_points": [ + 70.87, + 76.93, + 279.23, + 85.1 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 27, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Station: Sylhet", + "bbox_points": [ + 70.87, + 99.72, + 116.67, + 105.72 + ], + "words": [ + { + "text": "Station:", + "bbox_points": [ + 70.87, + 99.72, + 95.09, + 105.72 + ] + }, + { + "text": "Sylhet", + "bbox_points": [ + 97.06, + 99.72, + 116.67, + 105.72 + ] + } + ] + }, + { + "text": "Maximum annual water level and discharge", + "bbox_points": [ + 70.87, + 114.69, + 207.69, + 120.69 + ], + 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USD", + "page": 11, + "table_bbox_points": [ + 40.43, + 85.16, + 548.44, + 181.97 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 294.91, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 7, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Payments 2015 2016 2017 2018 2019 2020", + "bbox_points": [ + 43.43, + 99.72, + 545.43, + 105.72 + ], + "words": [ + { + "text": "Payments", + "bbox_points": [ + 43.43, + 99.72, + 73.85, + 105.72 + ] + }, + { + "text": "2015", + "bbox_points": [ + 416.52, + 99.72, + 430.52, + 105.72 + ] + }, + { + "text": "2016", + "bbox_points": [ + 439.54, + 99.72, + 453.53, + 105.72 + ] + }, + { + "text": "2017", + "bbox_points": [ + 462.5, + 99.72, + 476.49, + 105.72 + ] + }, + { + "text": "2018", + "bbox_points": [ + 485.46, + 99.72, + 499.45, + 105.72 + ] + }, + { + "text": "2019", + "bbox_points": [ + 508.48, + 99.72, + 522.47, + 105.72 + ] + }, + { + "text": "2020", + "bbox_points": [ + 531.44, + 99.72, + 545.43, + 105.72 + ] + } + ] + }, + { + "text": "Corporate income tax 34 39 62 51 69 109", + "bbox_points": [ + 43.43, + 114.86, + 544.69, + 122.88 + ], + "words": [ + { + "text": "Corporate", + "bbox_points": [ + 43.43, + 114.86, + 79.43, + 122.88 + ] + }, + { + "text": "income", + "bbox_points": [ + 81.81, + 114.86, + 108.46, + 122.88 + ] + }, + { + "text": "tax", + "bbox_points": [ + 110.78, + 114.86, + 121.67, + 122.88 + ] + }, + { + "text": "34", + "bbox_points": [ + 416.52, + 114.86, + 425.35, + 122.88 + ] + }, + { + "text": "39", + "bbox_points": [ + 439.54, + 114.86, + 448.37, + 122.88 + ] + }, + { + "text": "62", + "bbox_points": [ + 462.5, + 114.86, + 471.33, + 122.88 + ] + }, + { + "text": "51", + "bbox_points": [ + 485.46, + 114.86, + 494.29, + 122.88 + ] + }, + { + "text": "69", + "bbox_points": [ + 508.48, + 114.86, + 517.31, + 122.88 + ] + }, + { + "text": "109", + "bbox_points": [ + 531.44, + 114.86, + 544.69, + 122.88 + ] + } + ] + }, + { + "text": "The Mineral Extraction Tax and royalties (MET is payable in Kazakhstan on the value of the mineral 58 115 183 199 201 106", + "bbox_points": [ + 43.43, + 128.87, + 544.69, + 136.88 + ], + "words": [ + { + "text": "The", + "bbox_points": [ + 43.43, + 128.87, + 57.17, + 136.88 + ] + }, + { + "text": "Mineral", + "bbox_points": [ + 59.58, + 128.87, + 87.79, + 136.88 + ] + }, + { + "text": "Extraction", + "bbox_points": [ + 90.2, + 128.87, + 127.64, + 136.88 + ] + }, + { + "text": "Tax", + "bbox_points": [ + 130.0, + 128.87, + 143.14, + 136.88 + ] + }, + { + "text": "and", + "bbox_points": [ + 145.53, + 128.87, + 159.01, + 136.88 + ] + }, + { + "text": "royalties", + "bbox_points": [ + 161.35, + 128.87, + 191.46, + 136.88 + ] + }, + { + "text": "(MET", + "bbox_points": [ + 193.83, + 128.87, + 214.82, + 136.88 + ] + }, + { + "text": "is", + "bbox_points": [ + 217.19, + 128.87, + 222.85, + 136.88 + ] + }, + { + "text": "payable", + "bbox_points": [ + 225.24, + 128.87, + 252.5, + 136.88 + ] + }, + { + "text": "in", + "bbox_points": [ + 254.89, + 128.87, + 261.96, + 136.88 + ] + }, + { + "text": "Kazakhstan", + "bbox_points": [ + 264.3, + 128.87, + 306.57, + 136.88 + ] + }, + { + "text": "on", + "bbox_points": [ + 308.92, + 128.87, + 318.24, + 136.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 320.66, + 128.87, + 331.98, + 136.88 + ] + }, + { + "text": "value", + "bbox_points": [ + 334.32, + 128.87, + 353.54, + 136.88 + ] + }, + { + "text": "of", + "bbox_points": [ + 355.92, + 128.87, + 362.99, + 136.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 365.39, + 128.87, + 376.71, + 136.88 + ] + }, + { + "text": "mineral", + "bbox_points": [ + 379.05, + 128.87, + 406.57, + 136.88 + ] + }, + { + "text": "58", + "bbox_points": [ + 416.52, + 128.87, + 425.35, + 136.88 + ] + }, + { + "text": "115", + "bbox_points": [ + 439.54, + 128.87, + 452.79, + 136.88 + ] + }, + { + "text": "183", + "bbox_points": [ + 462.5, + 128.87, + 475.75, + 136.88 + ] + }, + { + "text": "199", + "bbox_points": [ + 485.46, + 128.87, + 498.71, + 136.88 + ] + }, + { + "text": "201", + "bbox_points": [ + 508.48, + 128.87, + 521.72, + 136.88 + ] + }, + { + "text": "106", + "bbox_points": [ + 531.44, + 128.87, + 544.69, + 136.88 + ] + } + ] + }, + { + "text": "resources extracted based on the average price of the minerals on the London Metal Exchange,", + "bbox_points": [ + 51.48, + 139.35, + 393.81, + 147.37 + ], + "words": [ + { + "text": "resources", + "bbox_points": [ + 51.48, + 139.35, + 85.2, + 147.37 + ] + }, + { + "text": "extracted", + "bbox_points": [ + 87.59, + 139.35, + 120.26, + 147.37 + ] + }, + { + "text": "based", + "bbox_points": [ + 122.63, + 139.35, + 143.11, + 147.37 + ] + }, + { + "text": "on", + "bbox_points": [ + 145.47, + 139.35, + 154.79, + 147.37 + ] + }, + { + "text": "the", + "bbox_points": [ + 157.15, + 139.35, + 168.47, + 147.37 + ] + }, + { + "text": "average", + "bbox_points": [ + 170.87, + 139.35, + 198.0, + 147.37 + ] + }, + { + "text": "price", + "bbox_points": [ + 200.35, + 139.35, + 218.42, + 147.37 + ] + }, + { + "text": "of", + "bbox_points": [ + 220.76, + 139.35, + 227.83, + 147.37 + ] + }, + { + "text": "the", + "bbox_points": [ + 230.23, + 139.35, + 241.55, + 147.37 + ] + }, + { + "text": "minerals", + "bbox_points": [ + 243.95, + 139.35, + 274.74, + 147.37 + ] + }, + { + "text": "on", + "bbox_points": [ + 277.17, + 139.35, + 286.49, + 147.37 + ] + }, + { + "text": "the", + "bbox_points": [ + 288.85, + 139.35, + 300.17, + 147.37 + ] + }, + { + "text": "London", + "bbox_points": [ + 302.57, + 139.35, + 331.12, + 147.37 + ] + }, + { + "text": "Metal", + "bbox_points": [ + 333.47, + 139.35, + 354.28, + 147.37 + ] + }, + { + "text": "Exchange,", + "bbox_points": [ + 356.6, + 139.35, + 393.81, + 147.37 + ] + } + ] + }, + { + "text": "MET includes taxes paid on water extraction)", + "bbox_points": [ + 51.48, + 149.9, + 214.97, + 157.91 + ], + "words": [ + { + "text": "MET", + "bbox_points": [ + 51.48, + 149.9, + 69.72, + 157.91 + ] + }, + { + "text": "includes", + "bbox_points": [ + 72.06, + 149.9, + 101.94, + 157.91 + ] + }, + { + "text": "taxes", + "bbox_points": [ + 104.09, + 149.9, + 122.31, + 157.91 + ] + }, + { + "text": "paid", + "bbox_points": [ + 124.67, + 149.9, + 140.31, + 157.91 + ] + }, + { + "text": "on", + "bbox_points": [ + 142.7, + 149.9, + 152.02, + 157.91 + ] + }, + { + "text": "water", + "bbox_points": [ + 154.43, + 149.9, + 174.26, + 157.91 + ] + }, + { + "text": "extraction)", + "bbox_points": [ + 176.49, + 149.9, + 214.97, + 157.91 + ] + } + ] + }, + { + "text": "Total payments to the state 120 165 305 302 314 244", + "bbox_points": [ + 43.43, + 163.9, + 544.69, + 171.92 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 163.9, + 61.89, + 171.92 + ] + }, + { + "text": "payments", + "bbox_points": [ + 64.29, + 163.9, + 98.5, + 171.92 + ] + }, + { + "text": "to", + "bbox_points": [ + 100.69, + 163.9, + 107.84, + 171.92 + ] + }, + { + "text": "the", + "bbox_points": [ + 110.21, + 163.9, + 121.53, + 171.92 + ] + }, + { + "text": "state", + "bbox_points": [ + 123.93, + 163.9, + 140.2, + 171.92 + ] + }, + { + "text": "120", + "bbox_points": [ + 416.52, + 163.9, + 429.77, + 171.92 + ] + }, + { + "text": "165", + "bbox_points": [ + 439.54, + 163.9, + 452.79, + 171.92 + ] + }, + { + "text": "305", + "bbox_points": [ + 462.5, + 163.9, + 475.75, + 171.92 + ] + }, + { + "text": "302", + "bbox_points": [ + 485.46, + 163.9, + 498.71, + 171.92 + ] + }, + { + "text": "314", + "bbox_points": [ + 508.48, + 163.9, + 521.72, + 171.92 + ] + }, + { + "text": "244", + "bbox_points": [ + 531.44, + 163.9, + 544.69, + 171.92 + ] + } + ] + }, + { + "text": "Source: State Revenue Committee Ministry of Finance of the Republic of Kazakhstan (2024)", + "bbox_points": [ + 43.43, + 180.19, + 292.35, + 186.23 + ], + "words": [ + { + "text": "Source:", + "bbox_points": [ + 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and Eimeria spp. (Apicomplexa Eimeriorina) of freshwater Cyprini/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:86bf473110542b86d10e6af629631a81cd7edc5273e73dbb6d3d61ba5724f957 +size 160697 diff --git a/Figures/Mamedova and Karanis - 2024 - Cryptosporidium spp. and Eimeria spp. (Apicomplexa Eimeriorina) of freshwater Cyprini/figure_02.txt b/Figures/Mamedova and Karanis - 2024 - Cryptosporidium spp. and Eimeria spp. (Apicomplexa Eimeriorina) of freshwater Cyprini/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..139df88bb3f6fcde6f4f36751c92c0fd643a481a --- /dev/null +++ b/Figures/Mamedova and Karanis - 2024 - Cryptosporidium spp. and Eimeria spp. (Apicomplexa Eimeriorina) of freshwater Cyprini/figure_02.txt @@ -0,0 +1 @@ +Some of the investigated fish species from the Kura River basin in Azerbaijan territory: (a) Silver Prussian carp (Carassius gibelio Bloch, 1782), (b) Freshwater bream (Abramis brama orientalis Berg, 1949), (c) Kura bleak (Alburnus filippi Kessler, 1877), (d) Common carp (Cyprinus carpio Linnaeus, 1758), European perch (Persa fluviatilis Linnaeus, 1758), (e) golden grey mullet (Mugil cephalus Linnaeus, 1758). diff --git a/Figures/Mamedova and Karanis - 2024 - Cryptosporidium spp. and Eimeria spp. (Apicomplexa Eimeriorina) of freshwater Cyprini/figure_03.jpg b/Figures/Mamedova and Karanis - 2024 - Cryptosporidium spp. and Eimeria spp. (Apicomplexa Eimeriorina) of freshwater Cyprini/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e15ab14d75a41f66539a6feb30c6013d99c9c91d --- /dev/null +++ b/Figures/Mamedova and Karanis - 2024 - Cryptosporidium spp. and Eimeria spp. (Apicomplexa Eimeriorina) of freshwater Cyprini/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ce1af91ecae54cacc2294eb121f21235c1963ba411c33e995747111eea0e694 +size 63781 diff --git a/Figures/Mamedova and Karanis - 2024 - Cryptosporidium spp. and Eimeria spp. (Apicomplexa Eimeriorina) of freshwater Cyprini/figure_03.txt b/Figures/Mamedova and Karanis - 2024 - Cryptosporidium spp. and Eimeria spp. (Apicomplexa Eimeriorina) of freshwater Cyprini/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..e603e1c6abf1b83451bea461ab0197d1905f352a --- /dev/null +++ b/Figures/Mamedova and Karanis - 2024 - Cryptosporidium spp. and Eimeria spp. (Apicomplexa Eimeriorina) of freshwater Cyprini/figure_03.txt @@ -0,0 +1 @@ +(a, b) Cryptosporidium spp. oocysts (stained with modified Ziehl-Neelsen stain (mZN)) from Abramis brama intestinal contents (intestinal mucosa and faeces) coughed in the Mingachevir reservoir (100). 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242.98, + 514.68 + ] + }, + { + "text": "of", + "bbox_points": [ + 245.14, + 506.67, + 252.21, + 514.68 + ] + }, + { + "text": "the", + "bbox_points": [ + 254.6, + 506.67, + 265.92, + 514.68 + ] + }, + { + "text": "20.85", + "bbox_points": [ + 283.01, + 506.67, + 302.67, + 514.68 + ] + }, + { + "text": "+", + "bbox_points": [ + 305.8, + 506.39, + 313.8, + 514.39 + ] + }, + { + "text": "6.3", + "bbox_points": [ + 315.32, + 506.67, + 326.15, + 514.68 + ] + }, + { + "text": "2", + "bbox_points": [ + 340.04, + 506.67, + 344.46, + 514.68 + ] + }, + { + "text": "0", + "bbox_points": [ + 407.16, + 506.67, + 411.58, + 514.68 + ] + }, + { + "text": "0", + "bbox_points": [ + 494.41, + 506.67, + 498.83, + 514.68 + ] + } + ] + }, + { + "text": "Kura River estuary", + "bbox_points": [ + 205.34, + 517.15, + 272.28, + 525.17 + ], + "words": [ + { + "text": "Kura", + "bbox_points": [ + 205.34, + 517.15, + 223.05, + 525.17 + ] + }, + { + "text": "River", + "bbox_points": [ + 225.41, + 517.15, + 244.47, 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It proposes developing", + "bbox_points": [ + 247.92, + 296.84, + 485.59, + 304.86 + ], + "words": [ + { + "text": "government", + "bbox_points": [ + 247.92, + 296.84, + 290.46, + 304.86 + ] + }, + { + "text": "(federal,", + "bbox_points": [ + 293.21, + 296.84, + 322.96, + 304.86 + ] + }, + { + "text": "provincal,", + "bbox_points": [ + 325.36, + 296.84, + 361.04, + 304.86 + ] + }, + { + "text": "and", + "bbox_points": [ + 363.34, + 296.84, + 376.82, + 304.86 + ] + }, + { + "text": "local).", + "bbox_points": [ + 379.22, + 296.84, + 401.65, + 304.86 + ] + }, + { + "text": "It", + "bbox_points": [ + 404.05, + 296.84, + 409.79, + 304.86 + ] + }, + { + "text": "proposes", + "bbox_points": [ + 412.21, + 296.84, + 444.14, + 304.86 + ] + }, + { + "text": "developing", + "bbox_points": [ + 446.51, + 296.84, + 485.59, + 304.86 + ] + } + ] + }, + { + "text": "municipality-wide inclusive sanitation plans as an integral part of the", + "bbox_points": [ + 247.92, + 307.33, + 495.93, + 315.35 + ], + "words": [ + { + "text": "municipality-wide", + "bbox_points": [ + 247.92, + 307.33, + 312.1, + 315.35 + ] + }, + { + "text": "inclusive", + "bbox_points": [ + 314.47, + 307.33, + 346.03, + 315.35 + ] + }, + { + "text": "sanitation", + "bbox_points": [ + 348.43, + 307.33, + 383.75, + 315.35 + ] + }, + { + "text": "plans", + "bbox_points": [ + 386.13, + 307.33, + 405.27, + 315.35 + ] + }, + { + "text": "as", + "bbox_points": [ + 407.62, + 307.33, + 415.11, + 315.35 + ] + }, + { + "text": "an", + "bbox_points": [ + 417.49, + 307.33, + 426.39, + 315.35 + ] + }, + { + "text": "integral", + "bbox_points": [ + 428.82, + 307.33, + 455.89, + 315.35 + ] + }, + { + "text": "part", + "bbox_points": [ + 458.3, + 307.33, + 472.78, + 315.35 + ] + }, + { + "text": "of", + "bbox_points": [ + 475.14, + 307.33, + 482.21, + 315.35 + ] + }, + { + "text": "the", + "bbox_points": [ + 484.61, + 307.33, + 495.93, + 315.35 + ] + } + ] + }, + { + "text": "WASH plan", + "bbox_points": [ + 247.92, + 317.82, + 291.45, + 325.83 + ], + "words": [ + { + "text": "WASH", + "bbox_points": [ + 247.92, + 317.82, + 273.31, + 325.83 + ] + }, + { + "text": "plan", + "bbox_points": [ + 275.64, + 317.82, + 291.45, + 325.83 + ] + } + ] + }, + { + "text": "4. Highlights the need for enhancing the capacity of communities and the", + "bbox_points": [ + 237.94, + 328.36, + 502.79, + 336.38 + ], + "words": [ + { + "text": "4.", + "bbox_points": [ + 237.94, + 328.36, + 244.35, + 336.38 + ] + }, + { + "text": "Highlights", + "bbox_points": [ + 246.73, + 328.36, + 284.01, + 336.38 + ] + }, + { + "text": "the", + "bbox_points": [ + 286.24, + 328.36, + 297.56, + 336.38 + ] + }, + { + "text": "need", + "bbox_points": [ + 299.96, + 328.36, + 317.28, + 336.38 + ] + }, + { + "text": "for", + "bbox_points": [ + 319.63, + 328.36, + 329.86, + 336.38 + ] + }, + { + "text": "enhancing", + "bbox_points": [ + 332.11, + 328.36, + 369.48, + 336.38 + ] + }, + { + "text": "the", + "bbox_points": [ + 371.85, + 328.36, + 383.17, + 336.38 + ] + }, + { + "text": "capacity", + "bbox_points": [ + 385.57, + 328.36, + 415.14, + 336.38 + ] + }, + { + "text": "of", + "bbox_points": [ + 417.37, + 328.36, + 424.44, + 336.38 + ] + }, + { + "text": "communities", + "bbox_points": [ + 426.84, + 328.36, + 473.2, + 336.38 + ] + }, + { + "text": "and", + "bbox_points": [ + 475.6, + 328.36, + 489.08, + 336.38 + ] + }, + { + "text": "the", + "bbox_points": [ + 491.47, + 328.36, + 502.79, + 336.38 + ] + } + ] + }, + { + "text": "local governments to implement measures for both mitigating and", + "bbox_points": [ + 247.92, + 338.85, + 484.88, + 346.87 + ], + "words": [ + { + "text": "local", + "bbox_points": [ + 247.92, + 338.85, + 265.31, + 346.87 + ] + }, + { + "text": "governments", + "bbox_points": [ + 267.7, + 338.85, + 313.61, + 346.87 + ] + }, + { + "text": "to", + "bbox_points": [ + 315.78, + 338.85, + 322.93, + 346.87 + ] + }, + { + "text": "implement", + "bbox_points": [ + 325.3, + 338.85, + 363.85, + 346.87 + ] + }, + { + "text": "measures", + "bbox_points": [ + 366.18, + 338.85, + 399.53, + 346.87 + ] + }, + { + "text": "for", + "bbox_points": [ + 401.89, + 338.85, + 412.13, + 346.87 + ] + }, + { + "text": "both", + "bbox_points": [ + 414.54, + 338.85, + 430.85, + 346.87 + ] + }, + { + "text": "mitigating", + "bbox_points": [ + 433.19, + 338.85, + 469.0, + 346.87 + ] + }, + { + "text": "and", + "bbox_points": [ + 471.4, + 338.85, + 484.88, + 346.87 + ] + } + ] + }, + { + "text": "adapting to natural disasters and climate change impacts", + "bbox_points": [ + 247.92, + 349.34, + 451.82, + 357.35 + ], + "words": [ + { + "text": "adapting", + "bbox_points": [ + 247.92, + 349.34, + 279.04, + 357.35 + ] + }, + { + "text": "to", + "bbox_points": [ + 281.42, + 349.34, + 288.57, + 357.35 + ] + }, + { + "text": "natural", + "bbox_points": [ + 290.95, + 349.34, + 316.31, + 357.35 + ] + }, + { + "text": "disasters", + "bbox_points": [ + 318.67, + 349.34, + 349.25, + 357.35 + ] + }, + { + "text": "and", + "bbox_points": [ + 351.67, + 349.34, + 365.14, + 357.35 + ] + }, + { + "text": "climate", + "bbox_points": [ + 367.48, + 349.34, + 393.67, + 357.35 + ] + }, + { + "text": "change", + "bbox_points": [ + 396.06, + 349.34, + 421.7, + 357.35 + ] + }, + { + "text": "impacts", + "bbox_points": [ + 424.06, + 349.34, + 451.82, + 357.35 + ] + } + ] + }, + { + "text": "5. Mentions about maintaining resilience of services by including climate", + "bbox_points": [ + 237.94, + 359.83, + 500.6, + 367.84 + ], + "words": [ + { + "text": "5.", + "bbox_points": [ + 237.94, + 359.83, + 244.35, + 367.84 + ] + }, + { + "text": "Mentions", + "bbox_points": [ + 246.73, + 359.83, + 280.77, + 367.84 + ] + }, + { + "text": "about", + "bbox_points": [ + 283.12, + 359.83, + 303.43, + 367.84 + ] + }, + { + "text": "maintaining", + "bbox_points": [ + 305.74, + 359.83, + 348.85, + 367.84 + ] + }, + { + "text": "resilience", + "bbox_points": [ + 351.21, + 359.83, + 385.18, + 367.84 + ] + }, + { + "text": "of", + "bbox_points": [ + 387.55, + 359.83, + 394.62, + 367.84 + ] + }, + { + "text": "services", + "bbox_points": [ + 397.02, + 359.83, + 425.32, + 367.84 + ] + }, + { + "text": "by", + "bbox_points": [ + 427.69, + 359.83, + 436.11, + 367.84 + ] + }, + { + "text": "including", + "bbox_points": [ + 438.46, + 359.83, + 472.09, + 367.84 + ] + }, + { + "text": "climate", + "bbox_points": [ + 474.41, + 359.83, + 500.6, + 367.84 + ] + } + ] + }, + { + "text": "change and disaster risk reduction management in the WASH service", + "bbox_points": [ + 247.92, + 370.31, + 498.42, + 378.33 + ], + "words": [ + { + "text": "change", + "bbox_points": [ + 247.92, + 370.31, + 273.56, + 378.33 + ] + }, + { + "text": "and", + "bbox_points": [ + 275.92, + 370.31, + 289.4, + 378.33 + ] + }, + { + "text": "disaster", + "bbox_points": [ + 291.8, + 370.31, + 319.05, + 378.33 + ] + }, + { + "text": "risk", + "bbox_points": [ + 321.45, + 370.31, + 334.84, + 378.33 + ] + }, + { + "text": "reduction", + "bbox_points": [ + 337.21, + 370.31, + 371.49, + 378.33 + ] + }, + { + "text": "management", + "bbox_points": [ + 373.89, + 370.31, + 420.16, + 378.33 + ] + }, + { + "text": "in", + "bbox_points": [ + 422.59, + 370.31, + 429.66, + 378.33 + ] + }, + { + "text": "the", + "bbox_points": [ + 432.06, + 370.31, + 443.38, + 378.33 + ] + }, + { + "text": "WASH", + "bbox_points": [ + 445.72, + 370.31, + 471.12, + 378.33 + ] + }, + { + "text": "service", + "bbox_points": [ + 473.44, + 370.31, + 498.42, + 378.33 + ] + } + ] + }, + { + "text": "6. Makes reference to use of climate friendly technologies for WASH-", + "bbox_points": [ + 237.94, + 380.86, + 487.71, + 388.87 + ], + "words": [ + { + "text": "6.", + "bbox_points": [ + 237.94, + 380.86, + 244.35, + 388.87 + ] + }, + { + "text": "Makes", + "bbox_points": [ + 246.73, + 380.86, + 270.32, + 388.87 + ] + }, + { + "text": "reference", + "bbox_points": [ + 272.69, + 380.86, + 305.93, + 388.87 + ] + }, + { + "text": "to", + "bbox_points": [ + 308.24, + 380.86, + 315.39, + 388.87 + ] + }, + { + "text": "use", + "bbox_points": [ + 317.82, + 380.86, + 329.72, + 388.87 + ] + }, + { + "text": "of", + "bbox_points": [ + 332.1, + 380.86, + 339.18, + 388.87 + ] + }, + { + "text": "climate", + "bbox_points": [ + 341.57, + 380.86, + 367.71, + 388.87 + ] + }, + { + "text": "friendly", + "bbox_points": [ + 370.09, + 380.86, + 397.72, + 388.87 + ] + }, + { + "text": "technologies", + "bbox_points": [ + 400.08, + 380.86, + 445.19, + 388.87 + ] + }, + { + "text": "for", + "bbox_points": [ + 447.59, + 380.86, + 457.82, + 388.87 + ] + }, + { + "text": "WASH-", + "bbox_points": [ + 460.23, + 380.86, + 487.71, + 388.87 + ] + } + ] + }, + { + "text": "related infrastructure design, construction, and operation", + "bbox_points": [ + 247.92, + 391.35, + 452.23, + 399.36 + ], + "words": [ + { + "text": "related", + "bbox_points": [ + 247.92, + 391.35, + 272.39, + 399.36 + ] + }, + { + "text": "infrastructure", + "bbox_points": [ + 274.73, + 391.35, + 323.01, + 399.36 + ] + }, + { + "text": "design,", + "bbox_points": [ + 325.42, + 391.35, + 350.39, + 399.36 + ] + }, + { + "text": "construction,", + "bbox_points": [ + 352.74, + 391.35, + 399.72, + 399.36 + ] + }, + { + "text": "and", + "bbox_points": [ + 402.07, + 391.35, + 415.55, + 399.36 + ] + }, + { + "text": "operation", + "bbox_points": [ + 417.94, + 391.35, + 452.23, + 399.36 + ] + } + ] + }, + { + "text": "7. Under financing mechanism, mentions establishment of climate", + "bbox_points": [ + 237.94, + 401.55, + 476.22, + 409.85 + ], + "words": [ + { + "text": "7.", + "bbox_points": [ + 237.94, + 401.83, + 244.35, + 409.85 + ] + }, + { + "text": "Under", + "bbox_points": [ + 246.73, + 401.83, + 269.53, + 409.85 + ] + }, + { + "text": "financing", + "bbox_points": [ + 271.9, + 401.55, + 305.32, + 409.85 + ] + }, + { + "text": "mechanism,", + "bbox_points": [ + 307.67, + 401.83, + 350.89, + 409.85 + ] + }, + { + "text": "mentions", + "bbox_points": [ + 353.25, + 401.83, + 386.55, + 409.85 + ] + }, + { + "text": "establishment", + "bbox_points": [ + 388.91, + 401.83, + 438.14, + 409.85 + ] + }, + { + "text": "of", + "bbox_points": [ + 440.56, + 401.83, + 447.63, + 409.85 + ] + }, + { + "text": "climate", + "bbox_points": [ + 450.03, + 401.83, + 476.22, + 409.85 + ] + } + ] + }, + { + "text": "adaptation and disaster management fund to implement climate change", + "bbox_points": [ + 247.92, + 412.32, + 506.12, + 420.34 + ], + "words": [ + { + "text": "adaptation", + "bbox_points": [ + 247.92, + 412.32, + 286.18, + 420.34 + ] + }, + { + "text": "and", + "bbox_points": [ + 288.57, + 412.32, + 302.05, + 420.34 + ] + }, + { + "text": "disaster", + "bbox_points": [ + 304.38, + 412.32, + 331.64, + 420.34 + ] + }, + { + "text": "management", + "bbox_points": [ + 334.03, + 412.32, + 380.3, + 420.34 + ] + }, + { + "text": "fund", + "bbox_points": [ + 382.73, + 412.32, + 399.12, + 420.34 + ] + }, + { + "text": "to", + "bbox_points": [ + 401.5, + 412.32, + 408.65, + 420.34 + ] + }, + { + "text": "implement", + "bbox_points": [ + 411.02, + 412.32, + 449.57, + 420.34 + ] + }, + { + "text": "climate", + "bbox_points": [ + 451.9, + 412.32, + 478.09, + 420.34 + ] + }, + { + "text": "change", + "bbox_points": [ + 480.47, + 412.32, + 506.12, + 420.34 + ] + } + ] + }, + { + "text": "and disaster-related projects", + "bbox_points": [ + 247.92, + 422.81, + 348.15, + 430.83 + ], + "words": [ + { + "text": "and", + "bbox_points": [ + 247.92, + 422.81, + 261.4, + 430.83 + ] + }, + { + "text": "disaster-related", + "bbox_points": [ + 263.79, + 422.81, + 317.58, + 430.83 + ] + }, + { + "text": "projects", + "bbox_points": [ + 319.92, + 422.81, + 348.15, + 430.83 + ] + } + ] + }, + { + "text": "8. Refers to inter-sectoral coordination to make the service effective and to", + "bbox_points": [ + 237.94, + 433.35, + 506.22, + 441.37 + ], + "words": [ + { + "text": "8.", + "bbox_points": [ + 237.94, + 433.35, + 244.35, + 441.37 + ] + }, + { + "text": "Refers", + "bbox_points": [ + 246.72, + 433.35, + 269.09, + 441.37 + ] + }, + { + "text": "to", + "bbox_points": [ + 271.33, + 433.35, + 278.48, + 441.37 + ] + }, + { + "text": "inter-sectoral", + "bbox_points": [ + 280.85, + 433.35, + 327.65, + 441.37 + ] + }, + { + "text": "coordination", + "bbox_points": [ + 330.01, + 433.35, + 376.15, + 441.37 + ] + }, + { + "text": "to", + "bbox_points": [ + 378.54, + 433.35, + 385.69, + 441.37 + ] + }, + { + "text": "make", + "bbox_points": [ + 388.06, + 433.35, + 407.59, + 441.37 + ] + }, + { + "text": "the", + "bbox_points": [ + 410.0, + 433.35, + 421.32, + 441.37 + ] + }, + { + "text": "service", + "bbox_points": [ + 423.66, + 433.35, + 448.64, + 441.37 + ] + }, + { + "text": "effective", + "bbox_points": [ + 450.99, + 433.35, + 480.84, + 441.37 + ] + }, + { + "text": "and", + "bbox_points": [ + 483.25, + 433.35, + 496.73, + 441.37 + ] + }, + { + "text": "to", + "bbox_points": [ + 499.07, + 433.35, + 506.22, + 441.37 + ] + } + ] + }, + { + "text": "optimise benefits from WASH services", + "bbox_points": [ + 247.92, + 443.56, + 386.6, + 451.86 + ], + "words": [ + { + "text": "optimise", + "bbox_points": [ + 247.92, + 443.84, + 278.63, + 451.86 + ] + }, + { + "text": "benefits", + "bbox_points": [ + 280.97, + 443.56, + 308.76, + 451.86 + ] + }, + { + "text": "from", + "bbox_points": [ + 311.13, + 443.84, + 328.2, + 451.86 + ] + }, + { + "text": "WASH", + "bbox_points": [ + 330.57, + 443.84, + 355.91, + 451.86 + ] + }, + { + "text": "services", + "bbox_points": [ + 358.3, + 443.84, + 386.6, + 451.86 + ] + } + ] + }, + { + "text": "Water Supply, Sanitation and Hygiene Sector 1. 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2024 - Review of policies for building climate resilience in urban sanitation systems and services in Nepal/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..eafdade59de30d58ced4de83032208cc245ac61f --- /dev/null +++ b/Figures/Manandhar-Sherpa et al. - 2024 - Review of policies for building climate resilience in urban sanitation systems and services in Nepal/table_03.txt @@ -0,0 +1 @@ +Level of adequacy of policies and plans on sanitation and their resilience to climate change. diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_01.jpg b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..71a86917e5a57906679fb0fe8ab7e18be016aa01 --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual 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X and Y axes display the day of treatment and absorption (Abs) at 730 nm wavelength in UV–visible spectrophotometer. Error bars represent the standard error. diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_02.jpg b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5a76380813865f7c6be5665711a6dcada4606df8 --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a20a8b2286a63de713a29370b6af638a8ed9bd37ec324df11537b4f1911fd5f +size 96567 diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_02.txt b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..a867248a5f6f0f8bf42567c942b60ffd4e92faf8 --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_02.txt @@ -0,0 +1 @@ +Mean values of OD730 measurements in absorbance units (Abs) at day – 03 and day – 05 of each treatment of monensin (a), lasalocid (b), and monensin: lasalocid 1:1 mix (c) tests. Error bars represent the standard error. Significant differences compared to the control are indicated as * for (p , 0.05) and ** for (p , 0.01). diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_03.jpg b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e1058923a6cef6bbe14f5716dbf875f1c765a2d9 --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:29f16c073b537e0bcd489252c4ae85cf86ffe75645ad27b78f074c9b75cee426 +size 88437 diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_03.txt b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..bab31b71550046e9403d0889d421da7792caee2d --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_03.txt @@ -0,0 +1 @@ +Mean values of OD730 measurements in absorbance units (Abs) at day – 07 of each treatment of monensin (a), lasalocid (b), and monensin: lasalocid {w/w} 1:1 test (c) treatments. Error bars represent the standard error. Significant differences compared to the control are indicated as * for (p , 0.05) and ** for (p , 0.01). diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_04.jpg b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9ee5b52ca9105d01d2b7bf7d08ed40f747a516c7 --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c05b4e87a2ed86ab2a7c3ce6388726b9288dcabe1afdf18fb18a24a75c8ef5e1 +size 62888 diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_04.txt b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..66f7c2961e418bfc83a7348f1363e1c80fc293e0 --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_04.txt @@ -0,0 +1 @@ +The mean values of cellular protein content (μg/mL) of each treatment of M. aeruginosa cultures harvested at the end of the one- week treatment period in monensin (a), lasalocid (b), and the monensin: lasalocid 1:1 (w/w) mix (c) tests. Error bars represent the standard error. Significant differences compared to the control are indicated as * for (p , 0.05). diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_05.jpg b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d0eef5c2c3e87c77f674c4850b3c49e752c964db --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9d4f9b19232903a306c743935722b92ac4920fe5408757062d7bac6b6a010534 +size 87042 diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_05.txt b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..c8997fba365a02365d5a120e475a1da559eab483 --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_05.txt @@ -0,0 +1 @@ +The mean values of Chl. ‘a’ content (μg/mL)/cellular protein (μg/mL) ratio of each treatment of M. aeruginosa harvested at the end of the one-week treatment period in each monensin (a), lasalocid (b), and the monensin: lasalocid 1:1 (w/w) mix (c) tests. Error bars represent the standard error. Significant differences compared to the control are indicated as * for (p , 0.05). diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_06.jpg b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3f683430dc420b8aa50a1b0f8fd86855c2274305 --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f848bf710189d27b0dd70721bf9a4a413c9e36bb0a0e31a0a23af50d2a7df1c +size 70173 diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_06.txt b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..eaf0ef5813f32454ffcd18f98ba10435129745f7 --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_06.txt @@ -0,0 +1 @@ +The mean values of H2O2 concentration (mM) /cellular protein (μg/mL) ratio of each treatment of M. aeruginosa harvested at the end of the one-week treatment period in each monensin (a), lasalocid (b), and the monensin:lasalocid 1:1 (w/w) mix (c) tests. Error bars represent the standard error. Significant differences compared to the control are indicated as * for (p , 0.05). diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_07.jpg b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..bbecbc832e65ae98ff6b5a13958f799d46911ecc --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9d184d578337ab9efb928715121ab1d5c3bbf0baa2e3157c1464e1e5f53b223b +size 75851 diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_07.txt b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..a262226e325d932700940e4197c01da2b6c86943 --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_07.txt @@ -0,0 +1 @@ +The mean values of CAT activity (△Abs/sec/mL)/cellular protein (μg/mL) ratio of each treatment of M. aeruginosa harvested at the end of the one-week treatment period in each monensin (a), lasalocid (b), and the monensin:lasalocid 1:1 (w/w) mix (c) tests. Error bars represent the standard error. Significant differences compared to the control are indicated as * for (p , 0.05). diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_08.jpg b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..862e6fa9d5bce49472a217e1dd4737dc7335c6b2 --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:17570e5dbf2c91caf05bdcfb0472d1e18da035fe4c09f62ab80ce87d2ea9d65b +size 68138 diff --git a/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_08.txt b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..22b1d5cbfce7822f2f1f7df775b28f61a825c77b --- /dev/null +++ b/Figures/Manawadu et al. - 2024 - Individual and combined effects of ionophore antibiotics monensin and lasalocid on growth, oxidative/figure_08.txt @@ -0,0 +1 @@ +The mean values of GPX activity (△Abs/sec/mL)/cellular protein (μg/mL) ratio of each treatment of M. aeruginosa harvested at the end of the one-week treatment period in each monensin (a), lasalocid (b), and the monensin:lasalocid 1:1 (w/w) mix (c) tests. 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Significant differences compared to the control are indicated as * for (p , 0.05).", + "image": "figure_04.jpg", + "caption_file": "figure_04.txt", + "figure_bbox_points": [ + 54.44, + 77.28, + 534.43, + 402.11 + ], + "caption_bbox_points": [ + 43.43, + 403.6, + 545.48, + 431.78 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 62888, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_05", + "page": 11, + "caption": "The mean values of Chl. ‘a’ content (μg/mL)/cellular protein (μg/mL) ratio of each treatment of M. aeruginosa harvested at the end of the one-week treatment period in each monensin (a), lasalocid (b), and the monensin: lasalocid 1:1 (w/w) mix (c) tests. Error bars represent the standard error. Significant differences compared to the control are indicated as * for (p , 0.05).", + "image": "figure_05.jpg", + "caption_file": "figure_05.txt", + "figure_bbox_points": [ + 75.01, + 77.28, + 555.01, + 383.97 + ], + "caption_bbox_points": [ + 64.01, + 385.46, + 566.04, + 413.69 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 87042, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_06", + "page": 12, + "caption": "The mean values of H2O2 concentration (mM) /cellular protein (μg/mL) ratio of each treatment of M. aeruginosa harvested at the end of the one-week treatment period in each monensin (a), lasalocid (b), and the monensin:lasalocid 1:1 (w/w) mix (c) tests. Error bars represent the standard error. Significant differences compared to the control are indicated as * for (p , 0.05).", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 54.44, + 77.28, + 534.43, + 386.01 + ], + "caption_bbox_points": [ + 43.43, + 387.5, + 545.5, + 415.74 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 70173, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_07", + "page": 13, + "caption": "The mean values of CAT activity (△Abs/sec/mL)/cellular protein (μg/mL) ratio of each treatment of M. aeruginosa harvested at the end of the one-week treatment period in each monensin (a), lasalocid (b), and the monensin:lasalocid 1:1 (w/w) mix (c) tests. Error bars represent the standard error. Significant differences compared to the control are indicated as * for (p , 0.05).", + "image": "figure_07.jpg", + "caption_file": "figure_07.txt", + "figure_bbox_points": [ + 75.18, + 77.28, + 554.82, + 384.31 + ], + "caption_bbox_points": [ + 64.01, + 385.85, + 566.02, + 414.03 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 75851, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_08", + "page": 14, + "caption": "The mean values of GPX activity (△Abs/sec/mL)/cellular protein (μg/mL) ratio of each treatment of M. aeruginosa harvested at the end of the one-week treatment period in each monensin (a), lasalocid (b), and the monensin:lasalocid 1:1 (w/w) mix (c) tests. Error bars represent the standard error. 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(2022)", + "bbox_points": [ + 70.87, + 282.74, + 507.03, + 290.86 + ], + "words": [ + { + "text": "Drinking", + "bbox_points": [ + 70.87, + 282.84, + 103.32, + 290.86 + ] + }, + { + "text": "water", + "bbox_points": [ + 105.68, + 282.84, + 125.56, + 290.86 + ] + }, + { + "text": "DDT", + "bbox_points": [ + 174.22, + 282.84, + 192.37, + 290.86 + ] + }, + { + "text": "0.07", + "bbox_points": [ + 330.07, + 282.84, + 345.32, + 290.86 + ] + }, + { + "text": "ppb", + "bbox_points": [ + 347.64, + 282.84, + 361.21, + 290.86 + ] + }, + { + "text": "Panis", + "bbox_points": [ + 442.09, + 282.84, + 461.47, + 290.86 + ] + }, + { + "text": "et", + "bbox_points": [ + 463.86, + 282.74, + 470.18, + 290.74 + ] + }, + { + "text": "al.", + "bbox_points": [ + 472.59, + 282.74, + 481.51, + 290.74 + ] + }, + { + "text": "(2022)", + "bbox_points": [ + 483.87, + 282.84, + 507.03, + 290.86 + ] + } + ] + }, + { + "text": "Drinking water Chlordane 0.181 ppb Panis et al. (2022)", + "bbox_points": [ + 70.87, + 296.74, + 507.03, + 304.86 + ], + "words": [ + { + "text": "Drinking", + "bbox_points": [ + 70.87, + 296.85, + 103.32, + 304.86 + ] + }, + { + "text": "water", + "bbox_points": [ + 105.68, + 296.85, + 125.56, + 304.86 + ] + }, + { + "text": "Chlordane", + "bbox_points": [ + 174.22, + 296.85, + 212.18, + 304.86 + ] + }, + { + "text": "0.181", + "bbox_points": [ + 330.07, + 296.85, + 349.73, + 304.86 + ] + }, + { + "text": "ppb", + "bbox_points": [ + 352.06, + 296.85, + 365.63, + 304.86 + ] + }, + { + "text": "Panis", + "bbox_points": [ + 442.09, + 296.85, + 461.47, + 304.86 + ] + }, + { + "text": "et", + "bbox_points": [ + 463.86, + 296.74, + 470.18, + 304.74 + ] + }, + { + "text": "al.", + "bbox_points": [ + 472.59, + 296.74, + 481.51, + 304.74 + ] + }, + { + "text": "(2022)", + "bbox_points": [ + 483.87, + 296.85, + 507.03, + 304.86 + ] + } + ] + }, + { + "text": "Drinking water Lindane 2.17 ppb Panis et al. (2022)", + "bbox_points": [ + 70.87, + 310.75, + 507.03, + 318.87 + ], + "words": [ + { + "text": "Drinking", + "bbox_points": [ + 70.87, + 310.85, + 103.32, + 318.87 + ] + }, + { + "text": "water", + "bbox_points": [ + 105.68, + 310.85, + 125.56, + 318.87 + ] + }, + { + "text": "Lindane", + "bbox_points": [ + 174.22, + 310.85, + 204.1, + 318.87 + ] + }, + { + "text": "2.17", + "bbox_points": [ + 330.07, + 310.85, + 345.32, + 318.87 + ] + }, + { + "text": "ppb", + "bbox_points": [ + 347.64, + 310.85, + 361.21, + 318.87 + ] + }, + { + "text": "Panis", + "bbox_points": [ + 442.09, + 310.85, + 461.47, + 318.87 + ] + }, + { + "text": "et", + "bbox_points": [ + 463.86, + 310.75, + 470.18, + 318.75 + ] + }, + { + "text": "al.", + "bbox_points": [ + 472.59, + 310.75, + 481.51, + 318.75 + ] + }, + { + "text": "(2022)", + "bbox_points": [ + 483.87, + 310.85, + 507.03, + 318.87 + ] + } + ] + }, + { + "text": "Sediment DDT 1.58–51.0 ng/g Peng et al. (2020)", + "bbox_points": [ + 70.87, + 324.57, + 505.21, + 332.87 + ], + "words": [ + { + "text": "Sediment", + "bbox_points": [ + 70.87, + 324.85, + 104.74, + 332.87 + ] + }, + { + "text": "DDT", + "bbox_points": [ + 174.22, + 324.85, + 192.37, + 332.87 + ] + }, + { + "text": "1.58–51.0", + "bbox_points": [ + 330.07, + 324.57, + 364.48, + 332.87 + ] + }, + { + "text": "ng/g", + "bbox_points": [ + 366.41, + 324.85, + 382.73, + 332.87 + ] + }, + { + "text": "Peng", + "bbox_points": [ + 442.09, + 324.85, + 459.66, + 332.87 + ] + }, + { + "text": "et", + "bbox_points": [ + 462.05, + 324.75, + 468.37, + 332.75 + ] + }, + { + "text": "al.", + "bbox_points": [ + 470.78, + 324.75, + 479.69, + 332.75 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 482.06, + 324.85, + 505.21, + 332.87 + ] + } + ] + }, + { + "text": "Porewater DDT 66.3–250 ng/L Peng et al. (2020)", + "bbox_points": [ + 70.87, + 338.58, + 505.21, + 346.87 + ], + "words": [ + { + "text": "Porewater", + "bbox_points": [ + 70.87, + 338.86, + 106.91, + 346.87 + ] + }, + { + "text": "DDT", + "bbox_points": [ + 174.22, + 338.86, + 192.37, + 346.87 + ] + }, + { + "text": "66.3–250", + "bbox_points": [ + 330.07, + 338.58, + 362.48, + 346.87 + ] + }, + { + "text": "ng/L", + "bbox_points": [ + 364.42, + 338.86, + 382.07, + 346.87 + ] + }, + { + "text": "Peng", + "bbox_points": [ + 442.09, + 338.86, + 459.66, + 346.87 + ] + }, + { + "text": "et", + "bbox_points": [ + 462.05, + 338.75, + 468.37, + 346.75 + ] + }, + { + "text": "al.", + "bbox_points": [ + 470.78, + 338.75, + 479.69, + 346.75 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 482.06, + 338.86, + 505.21, + 346.87 + ] + } + ] + }, + { + "text": "Rivers DDT 0.9669 + 0.2994 μg/L Nyaundi et al. (2023)", + "bbox_points": [ + 70.87, + 352.58, + 518.59, + 360.87 + ], + "words": [ + { + "text": "Rivers", + "bbox_points": [ + 70.87, + 352.86, + 93.26, + 360.87 + ] + }, + { + "text": "DDT", + "bbox_points": [ + 174.22, + 352.86, + 192.37, + 360.87 + ] + }, + { + "text": "0.9669", + "bbox_points": [ + 330.07, + 352.86, + 354.15, + 360.87 + ] + }, + { + "text": "+", + "bbox_points": [ + 355.64, + 352.58, + 363.64, + 360.58 + ] + }, + { + "text": "0.2994", + "bbox_points": [ + 365.22, + 352.86, + 389.3, + 360.87 + ] + }, + { + "text": "μg/L", + "bbox_points": [ + 391.18, + 352.58, + 408.17, + 360.87 + ] + }, + { + "text": "Nyaundi", + "bbox_points": [ + 442.09, + 352.86, + 473.02, + 360.87 + ] + }, + { + "text": "et", + "bbox_points": [ + 475.43, + 352.76, + 481.75, + 360.76 + ] + }, + { + "text": "al.", + "bbox_points": [ + 484.1, + 352.76, + 493.02, + 360.76 + ] + }, + { + "text": "(2023)", + "bbox_points": [ + 495.44, + 352.86, + 518.59, + 360.87 + ] + } + ] + }, + { + "text": "Surface water Aldrin 2–37 μg/L Oginawati et al. (2021)", + "bbox_points": [ + 70.87, + 366.58, + 524.49, + 374.88 + ], + "words": [ + { + "text": "Surface", + "bbox_points": [ + 70.87, + 366.86, + 97.81, + 374.88 + ] + }, + { + "text": "water", + "bbox_points": [ + 100.01, + 366.86, + 119.89, + 374.88 + ] + }, + { + "text": "Aldrin", + "bbox_points": [ + 174.22, + 366.86, + 197.36, + 374.88 + ] + }, + { + "text": "2–37", + "bbox_points": [ + 330.07, + 366.58, + 347.29, + 374.88 + ] + }, + { + "text": "μg/L", + "bbox_points": [ + 349.63, + 366.58, + 366.61, + 374.88 + ] + }, + { + "text": "Oginawati", + "bbox_points": [ + 442.09, + 366.86, + 478.92, + 374.88 + ] + }, + { + "text": "et", + "bbox_points": [ + 481.32, + 366.76, + 487.64, + 374.76 + ] + }, + { + "text": "al.", + "bbox_points": [ + 490.06, + 366.76, + 498.97, + 374.76 + ] + }, + { + "text": "(2021)", + "bbox_points": [ + 501.34, + 366.86, + 524.49, + 374.88 + ] + } + ] + }, + { + "text": "Sediment Aldrin 2–1,438 μg/L Oginawati et al. 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(2019)", + "bbox_points": [ + 117.86, + 125.25, + 418.07, + 133.37 + ], + "words": [ + { + "text": "CUPs", + "bbox_points": [ + 117.86, + 125.35, + 138.26, + 133.37 + ] + }, + { + "text": "(2011);", + "bbox_points": [ + 326.27, + 125.35, + 351.67, + 133.37 + ] + }, + { + "text": "Rigét", + "bbox_points": [ + 354.05, + 125.35, + 372.53, + 133.37 + ] + }, + { + "text": "et", + "bbox_points": [ + 374.91, + 125.25, + 381.23, + 133.25 + ] + }, + { + "text": "al.", + "bbox_points": [ + 383.64, + 125.25, + 392.55, + 133.25 + ] + }, + { + "text": "(2019)", + "bbox_points": [ + 394.92, + 125.35, + 418.07, + 133.37 + ] + } + ] + }, + { + "text": "2 PFOA, PFOS Tap and surface Waggott & Wheatland (1978); Lien et al. (2006); Ikehata", + "bbox_points": [ + 70.87, + 139.25, + 523.43, + 147.37 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 70.87, + 139.35, + 75.28, + 147.37 + ] + }, + { + "text": "PFOA,", + "bbox_points": [ + 109.87, + 139.35, + 133.97, + 147.37 + ] + }, + { + "text": "PFOS", + "bbox_points": [ + 136.35, + 139.35, + 157.42, + 147.37 + ] + }, + { + "text": "Tap", + "bbox_points": [ + 236.01, + 139.35, + 249.57, + 147.37 + ] + }, + { + "text": "and", + "bbox_points": [ + 251.94, + 139.35, + 265.42, + 147.37 + ] + }, + { + "text": "surface", + "bbox_points": [ + 267.82, + 139.35, + 293.34, + 147.37 + ] + }, + { + "text": "Waggott", + "bbox_points": [ + 318.22, + 139.35, + 348.12, + 147.37 + ] + }, + { + "text": "&", + "bbox_points": [ + 350.53, + 139.35, + 357.86, + 147.37 + ] + }, + { + "text": "Wheatland", + "bbox_points": [ + 360.28, + 139.35, + 399.64, + 147.37 + ] + }, + { + "text": "(1978);", + "bbox_points": [ + 402.01, + 139.35, + 427.47, + 147.37 + ] + }, + { + "text": "Lien", + "bbox_points": [ + 429.84, + 139.35, + 446.24, + 147.37 + ] + }, + { + "text": "et", + "bbox_points": [ + 448.61, + 139.25, + 454.93, + 147.25 + ] + }, + { + "text": "al.", + "bbox_points": [ + 457.34, + 139.25, + 466.25, + 147.25 + ] + }, + { + "text": "(2006);", + "bbox_points": [ + 468.62, + 139.35, + 494.02, + 147.37 + ] + }, + { + "text": "Ikehata", + "bbox_points": [ + 496.46, + 139.35, + 523.43, + 147.37 + ] + } + ] + }, + { + "text": "water of several et al. (2008); Bao et al. (2012); Meffe & de", + "bbox_points": [ + 244.01, + 149.74, + 479.92, + 157.86 + ], + "words": [ + { + "text": "water", + "bbox_points": [ + 244.01, + 149.84, + 263.89, + 157.86 + ] + }, + { + "text": "of", + "bbox_points": [ + 266.12, + 149.84, + 273.19, + 157.86 + ] + }, + { + "text": "several", + "bbox_points": [ + 275.58, + 149.84, + 300.33, + 157.86 + ] + }, + { + "text": "et", + "bbox_points": [ + 326.27, + 149.74, + 332.59, + 157.74 + ] + }, + { + "text": "al.", + "bbox_points": [ + 334.94, + 149.74, + 343.85, + 157.74 + ] + }, + { + "text": "(2008);", + "bbox_points": [ + 346.22, + 149.84, + 371.68, + 157.86 + ] + }, + { + "text": "Bao", + "bbox_points": [ + 374.06, + 149.84, + 388.37, + 157.86 + ] + }, + { + "text": "et", + "bbox_points": [ + 390.73, + 149.74, + 397.05, + 157.74 + ] + }, + { + "text": "al.", + "bbox_points": [ + 399.46, + 149.74, + 408.37, + 157.74 + ] + }, + { + "text": "(2012);", + "bbox_points": [ + 410.74, + 149.84, + 436.2, + 157.86 + ] + }, + { + "text": "Meffe", + "bbox_points": [ + 438.58, + 149.84, + 459.31, + 157.86 + ] + }, + { + "text": "&", + "bbox_points": [ + 461.65, + 149.84, + 468.98, + 157.86 + ] + }, + { + "text": "de", + "bbox_points": [ + 471.35, + 149.84, + 479.92, + 157.86 + ] + } + ] + }, + { + "text": "countries Bustamante (2014); Han & Currell (2017)", + "bbox_points": [ + 244.01, + 160.33, + 477.54, + 168.35 + ], + "words": [ + { + "text": "countries", + "bbox_points": [ + 244.01, + 160.33, + 277.29, + 168.35 + ] + }, + { + "text": "Bustamante", + "bbox_points": [ + 326.27, + 160.33, + 368.75, + 168.34 + ] + }, + { + "text": "(2014);", + "bbox_points": [ + 371.11, + 160.33, + 396.51, + 168.34 + ] + }, + { + "text": "Han", + "bbox_points": [ + 398.89, + 160.33, + 414.8, + 168.34 + ] + }, + { + "text": "&", + "bbox_points": [ + 417.2, + 160.33, + 424.53, + 168.34 + ] + }, + { + "text": "Currell", + "bbox_points": [ + 426.9, + 160.33, + 451.99, + 168.34 + ] + }, + { + "text": "(2017)", + "bbox_points": [ + 454.39, + 160.33, + 477.54, + 168.34 + ] + } + ] + }, + { + "text": "3 Chlordane, DDT, endosulfan, Rivers Inam et al. (2015); Unyimadu et al. (2017); Zhang et al.", + "bbox_points": [ + 70.87, + 174.23, + 518.69, + 182.35 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 70.87, + 174.33, + 75.28, + 182.35 + ] + }, + { + "text": "Chlordane,", + "bbox_points": [ + 109.87, + 174.33, + 149.83, + 182.35 + ] + }, + { + "text": "DDT,", + "bbox_points": [ + 152.22, + 174.33, + 172.02, + 182.35 + ] + }, + { + "text": "endosulfan,", + "bbox_points": [ + 174.39, + 174.33, + 215.85, + 182.35 + ] + }, + { + "text": "Rivers", + "bbox_points": [ + 236.01, + 174.33, + 258.41, + 182.35 + ] + }, + { + "text": "Inam", + "bbox_points": [ + 318.22, + 174.33, + 337.28, + 182.35 + ] + }, + { + "text": "et", + "bbox_points": [ + 339.65, + 174.23, + 345.97, + 182.23 + ] + }, + { + "text": "al.", + "bbox_points": [ + 348.38, + 174.23, + 357.29, + 182.23 + ] + }, + { + "text": "(2015);", + "bbox_points": [ + 359.66, + 174.33, + 385.06, + 182.35 + ] + }, + { + "text": "Unyimadu", + "bbox_points": [ + 387.5, + 174.33, + 425.11, + 182.35 + ] + }, + { + "text": "et", + "bbox_points": [ + 427.52, + 174.23, + 433.84, + 182.23 + ] + }, + { + "text": "al.", + "bbox_points": [ + 436.25, + 174.23, + 445.16, + 182.23 + ] + }, + { + "text": "(2017);", + "bbox_points": [ + 447.53, + 174.33, + 472.94, + 182.35 + ] + }, + { + "text": "Zhang", + "bbox_points": [ + 475.31, + 174.33, + 498.71, + 182.35 + ] + }, + { + "text": "et", + "bbox_points": [ + 501.05, + 174.23, + 507.37, + 182.23 + ] + }, + { + "text": "al.", + "bbox_points": [ + 509.78, + 174.23, + 518.69, + 182.23 + ] + } + ] + }, + { + "text": "endrin, dieldrin, HCH, PBDEs, (2018); Sevin et al. (2018); Moslen et al. (2019); Suami", + "bbox_points": [ + 117.87, + 184.72, + 523.92, + 192.84 + ], + "words": [ + { + "text": "endrin,", + "bbox_points": [ + 117.87, + 184.82, + 143.42, + 192.84 + ] + }, + { + "text": "dieldrin,", + "bbox_points": [ + 145.76, + 184.82, + 175.8, + 192.84 + ] + }, + { + "text": "HCH,", + "bbox_points": [ + 178.13, + 184.82, + 199.87, + 192.84 + ] + }, + { + "text": "PBDEs,", + "bbox_points": [ + 202.23, + 184.82, + 230.2, + 192.84 + ] + }, + { + "text": "(2018);", + "bbox_points": [ + 326.27, + 184.82, + 351.67, + 192.83 + ] + }, + { + "text": "Sevin", + "bbox_points": [ + 354.05, + 184.82, + 374.02, + 192.83 + ] + }, + { + "text": "et", + "bbox_points": [ + 376.38, + 184.72, + 382.7, + 192.72 + ] + }, + { + "text": "al.", + "bbox_points": [ + 385.12, + 184.72, + 394.03, + 192.72 + ] + }, + { + "text": "(2018);", + "bbox_points": [ + 396.4, + 184.82, + 421.8, + 192.83 + ] + }, + { + "text": "Moslen", + "bbox_points": [ + 424.23, + 184.82, + 450.95, + 192.83 + ] + }, + { + "text": "et", + "bbox_points": [ + 453.26, + 184.72, + 459.58, + 192.72 + ] + }, + { + "text": "al.", + "bbox_points": [ + 461.99, + 184.72, + 470.9, + 192.72 + ] + }, + { + "text": "(2019);", + "bbox_points": [ + 473.27, + 184.82, + 498.73, + 192.83 + ] + }, + { + "text": "Suami", + "bbox_points": [ + 501.11, + 184.82, + 523.92, + 192.83 + ] + } + ] + }, + { + "text": "PCBs et al. (2020); Rex & Chakraborty (2022)", + "bbox_points": [ + 117.87, + 195.26, + 470.12, + 203.38 + ], + "words": [ + { + "text": "PCBs", + "bbox_points": [ + 117.87, + 195.36, + 137.51, + 203.38 + ] + }, + { + "text": "et", + "bbox_points": [ + 326.27, + 195.26, + 332.59, + 203.26 + ] + }, + { + "text": "al.", + "bbox_points": [ + 334.94, + 195.26, + 343.86, + 203.26 + ] + }, + { + "text": "(2020);", + "bbox_points": [ + 346.22, + 195.36, + 371.68, + 203.38 + ] + }, + { + "text": "Rex", + "bbox_points": [ + 374.06, + 195.36, + 387.46, + 203.38 + ] + }, + { + "text": "&", + "bbox_points": [ + 389.82, + 195.36, + 397.15, + 203.38 + ] + }, + { + "text": "Chakraborty", + "bbox_points": [ + 399.57, + 195.36, + 444.63, + 203.38 + ] + }, + { + "text": "(2022)", + "bbox_points": [ + 446.97, + 195.36, + 470.12, + 203.38 + ] + } + ] + }, + { + "text": "4 OCPs, PAHs Ologe Lagoon, Lagos Aderinola et al. (2018); Yusuf et al. (2018); Obanya et al.", + "bbox_points": [ + 70.87, + 209.27, + 523.18, + 217.38 + ], + "words": [ + { + "text": "4", + "bbox_points": [ + 70.87, + 209.37, + 75.29, + 217.38 + ] + }, + { + "text": "OCPs,", + "bbox_points": [ + 109.87, + 209.37, + 132.69, + 217.38 + ] + }, + { + "text": "PAHs", + "bbox_points": [ + 135.05, + 209.37, + 156.19, + 217.38 + ] + }, + { + "text": "Ologe", + "bbox_points": [ + 236.02, + 209.37, + 257.66, + 217.38 + ] + }, + { + "text": "Lagoon,", + "bbox_points": [ + 260.0, + 209.37, + 289.38, + 217.38 + ] + }, + { + "text": "Lagos", + "bbox_points": [ + 291.74, + 209.37, + 313.14, + 217.38 + ] + }, + { + "text": "Aderinola", + "bbox_points": [ + 318.22, + 209.37, + 354.09, + 217.38 + ] + }, + { + "text": "et", + "bbox_points": [ + 356.43, + 209.27, + 362.75, + 217.27 + ] + }, + { + "text": "al.", + "bbox_points": [ + 365.16, + 209.27, + 374.07, + 217.27 + ] + }, + { + "text": "(2018);", + "bbox_points": [ + 376.44, + 209.37, + 401.85, + 217.38 + ] + }, + { + "text": "Yusuf", + "bbox_points": [ + 404.28, + 209.37, + 425.0, + 217.38 + ] + }, + { + "text": "et", + "bbox_points": [ + 427.35, + 209.27, + 433.67, + 217.27 + ] + }, + { + "text": "al.", + "bbox_points": [ + 436.08, + 209.27, + 445.0, + 217.27 + ] + }, + { + "text": "(2018);", + "bbox_points": [ + 447.37, + 209.37, + 472.77, + 217.38 + ] + }, + { + "text": "Obanya", + "bbox_points": [ + 475.15, + 209.37, + 503.17, + 217.38 + ] + }, + { + "text": "et", + "bbox_points": [ + 505.59, + 209.27, + 511.91, + 217.27 + ] + }, + { + "text": "al.", + "bbox_points": [ + 514.26, + 209.27, + 523.18, + 217.27 + ] + } + ] + }, + { + "text": "Nigeria (2019a, (2019b)", + "bbox_points": [ + 244.01, + 219.85, + 382.69, + 227.87 + ], + "words": [ + { + "text": "Nigeria", + "bbox_points": [ + 244.01, + 219.85, + 270.73, + 227.87 + ] + }, + { + "text": "(2019a,", + "bbox_points": [ + 326.27, + 219.85, + 352.76, + 227.87 + ] + }, + { + "text": "(2019b)", + "bbox_points": [ + 355.13, + 219.85, + 382.69, + 227.87 + ] + } + ] + }, + { + "text": "5 OCPs, PCBs, PBDEs, PCDDs, Drinking water Bao et al. (2012); Hossain et al. (2012); Shakeri et al.", + "bbox_points": [ + 70.87, + 233.76, + 509.91, + 241.87 + ], + "words": [ + { + "text": "5", + "bbox_points": [ + 70.87, + 233.86, + 75.29, + 241.87 + ] + }, + { + "text": "OCPs,", + "bbox_points": [ + 109.87, + 233.86, + 132.69, + 241.87 + ] + }, + { + "text": "PCBs,", + "bbox_points": [ + 135.05, + 233.86, + 156.69, + 241.87 + ] + }, + { + "text": "PBDEs,", + "bbox_points": [ + 159.03, + 233.86, + 187.0, + 241.87 + ] + }, + { + "text": "PCDDs,", + "bbox_points": [ + 189.36, + 233.86, + 218.58, + 241.87 + ] + }, + { + "text": "Drinking", + "bbox_points": [ + 236.02, + 233.86, + 268.47, + 241.87 + ] + }, + { + "text": "water", + "bbox_points": [ + 270.82, + 233.86, + 290.71, + 241.87 + ] + }, + { + "text": "Bao", + "bbox_points": [ + 318.22, + 233.86, + 332.53, + 241.87 + ] + }, + { + "text": "et", + "bbox_points": [ + 334.94, + 233.76, + 341.26, + 241.76 + ] + }, + { + "text": "al.", + "bbox_points": [ + 343.62, + 233.76, + 352.53, + 241.76 + ] + }, + { + "text": "(2012);", + "bbox_points": [ + 354.96, + 233.86, + 380.36, + 241.87 + ] + }, + { + "text": "Hossain", + "bbox_points": [ + 382.74, + 233.86, + 412.2, + 241.87 + ] + }, + { + "text": "et", + "bbox_points": [ + 414.54, + 233.76, + 420.86, + 241.76 + ] + }, + { + "text": "al.", + "bbox_points": [ + 423.27, + 233.76, + 432.18, + 241.76 + ] + }, + { + "text": "(2012);", + "bbox_points": [ + 434.55, + 233.86, + 459.96, + 241.87 + ] + }, + { + "text": "Shakeri", + "bbox_points": [ + 462.39, + 233.86, + 489.91, + 241.87 + ] + }, + { + "text": "et", + "bbox_points": [ + 492.27, + 233.76, + 498.59, + 241.76 + ] + }, + { + "text": "al.", + "bbox_points": [ + 501.0, + 233.76, + 509.91, + 241.76 + ] + } + ] + }, + { + "text": "PCDFs, PFOS, PFOA sources (2015)", + "bbox_points": [ + 117.87, + 244.35, + 349.42, + 252.36 + ], + "words": [ + { + "text": "PCDFs,", + "bbox_points": [ + 117.87, + 244.35, + 145.26, + 252.36 + ] + }, + { + "text": "PFOS,", + "bbox_points": [ + 147.57, + 244.35, + 170.64, + 252.36 + ] + }, + { + "text": "PFOA", + "bbox_points": [ + 173.03, + 244.35, + 195.13, + 252.36 + ] + }, + { + "text": "sources", + "bbox_points": [ + 244.01, + 244.35, + 270.81, + 252.36 + ] + }, + { + "text": "(2015)", + "bbox_points": [ + 326.27, + 244.35, + 349.42, + 252.36 + ] + } + ] + }, + { + "text": "6 PCBs, OCPs, PBDEs, PAHs South America, Kucklick et al. (2011); Luek et al. (2017); Barletta et al.", + "bbox_points": [ + 70.87, + 258.25, + 517.62, + 266.37 + ], + "words": [ + { + "text": "6", + "bbox_points": [ + 70.87, + 258.35, + 75.29, + 266.36 + ] + }, + { + "text": "PCBs,", + "bbox_points": [ + 109.88, + 258.35, + 131.52, + 266.36 + ] + }, + { + "text": "OCPs,", + "bbox_points": [ + 133.86, + 258.35, + 156.67, + 266.36 + ] + }, + { + "text": "PBDEs,", + "bbox_points": [ + 159.03, + 258.35, + 187.0, + 266.36 + ] + }, + { + "text": "PAHs", + "bbox_points": [ + 189.36, + 258.35, + 210.51, + 266.36 + ] + }, + { + "text": "South", + "bbox_points": [ + 236.02, + 258.35, + 257.23, + 266.36 + ] + }, + { + "text": "America,", + "bbox_points": [ + 259.6, + 258.35, + 292.25, + 266.36 + ] + }, + { + "text": "Kucklick", + "bbox_points": [ + 318.22, + 258.35, + 350.6, + 266.36 + ] + }, + { + "text": "et", + "bbox_points": [ + 352.8, + 258.25, + 359.12, + 266.25 + ] + }, + { + "text": "al.", + "bbox_points": [ + 361.48, + 258.25, + 370.39, + 266.25 + ] + }, + { + "text": "(2011);", + "bbox_points": [ + 372.82, + 258.35, + 398.22, + 266.36 + ] + }, + { + "text": "Luek", + "bbox_points": [ + 400.59, + 258.35, + 419.07, + 266.37 + ] + }, + { + "text": "et", + "bbox_points": [ + 421.28, + 258.25, + 427.6, + 266.25 + ] + }, + { + "text": "al.", + "bbox_points": [ + 430.01, + 258.25, + 438.93, + 266.25 + ] + }, + { + "text": "(2017);", + "bbox_points": [ + 441.3, + 258.35, + 466.7, + 266.37 + ] + }, + { + "text": "Barletta", + "bbox_points": [ + 469.13, + 258.35, + 497.58, + 266.37 + ] + }, + { + "text": "et", + "bbox_points": [ + 499.97, + 258.25, + 506.29, + 266.25 + ] + }, + { + "text": "al.", + "bbox_points": [ + 508.7, + 258.25, + 517.62, + 266.25 + ] + } + ] + }, + { + "text": "Western Atlantic (2019)", + "bbox_points": [ + 244.01, + 268.84, + 349.42, + 276.86 + ], + "words": [ + { + "text": "Western", + "bbox_points": [ + 244.01, + 268.84, + 273.68, + 276.85 + ] + }, + { + "text": "Atlantic", + "bbox_points": [ + 276.1, + 268.84, + 304.81, + 276.85 + ] + }, + { + "text": "(2019)", + "bbox_points": [ + 326.27, + 268.84, + 349.42, + 276.86 + ] + } + ] + }, + { + "text": "Ocean", + "bbox_points": [ + 244.01, + 279.32, + 267.66, + 287.34 + ], + "words": [ + { + "text": "Ocean", + "bbox_points": [ + 244.01, + 279.32, + 267.66, + 287.34 + ] + } + ] + }, + { + "text": "7 PCDDs, PCDFs, PCBs, HCB Lagoon of Venice Bettiol et al. (2005); Guerzoni et al. 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(2000); Kubal et al.", + "bbox_points": [ + 70.87, + 515.63, + 523.91, + 523.92 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 70.87, + 515.91, + 75.28, + 523.92 + ] + }, + { + "text": "Base-catalysed", + "bbox_points": [ + 91.84, + 515.91, + 143.72, + 523.92 + ] + }, + { + "text": "DDT,", + "bbox_points": [ + 176.94, + 515.91, + 196.74, + 523.92 + ] + }, + { + "text": "HCB,", + "bbox_points": [ + 199.11, + 515.91, + 219.43, + 523.92 + ] + }, + { + "text": "PCBs,", + "bbox_points": [ + 221.78, + 515.91, + 243.43, + 523.92 + ] + }, + { + "text": "PCDDs,", + "bbox_points": [ + 245.76, + 515.91, + 274.99, + 523.92 + ] + }, + { + "text": "and", + "bbox_points": [ + 277.34, + 515.91, + 290.82, + 523.92 + ] + }, + { + "text": "300–350", + "bbox_points": [ + 311.98, + 515.63, + 342.46, + 523.92 + ] + }, + { + "text": "°C", + "bbox_points": [ + 344.81, + 515.91, + 353.29, + 523.92 + ] + }, + { + "text": "Rahuman", + "bbox_points": [ + 397.3, + 515.91, + 432.26, + 523.92 + ] + }, + { + "text": "et", + "bbox_points": [ + 434.61, + 515.81, + 440.93, + 523.81 + ] + }, + { + "text": "al.", + "bbox_points": [ + 443.34, + 515.81, + 452.25, + 523.81 + ] + }, + { + "text": "(2000);", + "bbox_points": [ + 454.62, + 515.91, + 480.02, + 523.92 + ] + }, + { + "text": "Kubal", + "bbox_points": [ + 482.46, + 515.91, + 503.94, + 523.92 + ] + }, + { + "text": "et", + "bbox_points": [ + 506.27, + 515.81, + 512.59, + 523.81 + ] + }, + { + "text": "al.", + "bbox_points": [ + 515.0, + 515.81, + 523.91, + 523.81 + ] + } + ] + }, + { + "text": "decomposition PCDFs (2004); Weber (2007)", + "bbox_points": [ + 99.84, + 526.45, + 482.31, + 534.47 + ], + "words": [ + { + "text": "decomposition", + "bbox_points": [ + 99.84, + 526.45, + 152.93, + 534.47 + ] + }, + { + "text": "PCDFs", + "bbox_points": [ + 184.93, + 526.45, + 210.32, + 534.47 + ] + }, + { + "text": "(2004);", + "bbox_points": [ + 405.3, + 526.45, + 430.76, + 534.47 + ] + }, + { + "text": "Weber", + "bbox_points": [ + 433.13, + 526.45, + 456.76, + 534.47 + ] + }, + { + "text": "(2007)", + "bbox_points": [ + 459.16, + 526.45, + 482.31, + 534.47 + ] + } + ] + }, + { + "text": "3 Catalytic HCB, PCDDs, PCDFs 1 atm, 180–260 °C, Ohno (1997); Noma et al. (2002,", + "bbox_points": [ + 70.87, + 540.18, + 515.47, + 548.47 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 70.87, + 540.46, + 75.28, + 548.47 + ] + }, + { + "text": "Catalytic", + "bbox_points": [ + 91.84, + 540.46, + 123.56, + 548.47 + ] + }, + { + "text": "HCB,", + "bbox_points": [ + 176.94, + 540.46, + 197.26, + 548.47 + ] + }, + { + "text": "PCDDs,", + "bbox_points": [ + 199.62, + 540.46, + 228.84, + 548.47 + ] + }, + { + "text": "PCDFs", + "bbox_points": [ + 231.2, + 540.46, + 256.59, + 548.47 + ] + }, + { + "text": "1", + "bbox_points": [ + 311.98, + 540.46, + 316.4, + 548.47 + ] + }, + { + "text": "atm,", + "bbox_points": [ + 318.79, + 540.46, + 334.39, + 548.47 + ] + }, + { + "text": "180–260", + "bbox_points": [ + 336.76, + 540.18, + 367.18, + 548.47 + ] + }, + { + "text": "°C,", + "bbox_points": [ + 369.52, + 540.46, + 380.01, + 548.47 + ] + }, + { + "text": "Ohno", + "bbox_points": [ + 397.3, + 540.45, + 418.11, + 548.47 + ] + }, + { + "text": "(1997);", + "bbox_points": [ + 420.49, + 540.45, + 445.89, + 548.47 + ] + }, + { + "text": "Noma", + "bbox_points": [ + 448.33, + 540.45, + 470.81, + 548.47 + ] + }, + { + "text": "et", + "bbox_points": [ + 473.16, + 540.35, + 479.48, + 548.35 + ] + }, + { + "text": "al.", + "bbox_points": [ + 481.83, + 540.35, + 490.75, + 548.35 + ] + }, + { + "text": "(2002,", + "bbox_points": [ + 493.12, + 540.45, + 515.47, + 548.47 + ] + } + ] + }, + { + "text": "hydrodechlorination Pd/C catalyst, 2003)", + "bbox_points": [ + 99.84, + 550.94, + 425.67, + 558.96 + ], + "words": [ + { + "text": "hydrodechlorination", + "bbox_points": [ + 99.84, + 550.94, + 173.31, + 558.96 + ] + }, + { + "text": "Pd/C", + "bbox_points": [ + 319.98, + 550.94, + 338.87, + 558.96 + ] + }, + { + "text": "catalyst,", + "bbox_points": [ + 341.24, + 550.94, + 369.85, + 558.96 + ] + }, + { + "text": "2003)", + "bbox_points": [ + 405.3, + 550.94, + 425.67, + 558.96 + ] + } + ] + }, + { + "text": "paraffin oil as", + "bbox_points": [ + 319.98, + 561.15, + 369.19, + 569.45 + ], + "words": [ + { + "text": "paraffin", + "bbox_points": [ + 319.98, + 561.15, + 347.68, + 569.45 + ] + }, + { + "text": "oil", + "bbox_points": [ + 350.08, + 561.43, + 359.31, + 569.45 + ] + }, + { + "text": "as", + "bbox_points": [ + 361.7, + 561.43, + 369.19, + 569.45 + ] + } + ] + }, + { + "text": "reaction solvent,", + "bbox_points": [ + 319.98, + 571.92, + 379.1, + 579.94 + ], + "words": [ + { + "text": "reaction", + "bbox_points": [ + 319.98, + 571.92, + 349.2, + 579.94 + ] + }, + { + "text": "solvent,", + "bbox_points": [ + 351.55, + 571.92, + 379.1, + 579.94 + ] + } + ] + }, + { + "text": "4 Gas-phase chemical PCBs, PCDDs, PCDFs, aldrin, .850 °C Kummling et al. 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Barkdoll et al. 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(Gupta et al. 2006a, — 0.14–0.18 0.225–0.405 0.06 0.18 1 30–50°", + "bbox_points": [ + 70.87, + 358.81, + 515.24, + 367.11 + ], + "words": [ + { + "text": "7.", + "bbox_points": [ + 70.87, + 359.09, + 77.29, + 367.11 + ] + }, + { + "text": "(Gupta", + "bbox_points": [ + 91.85, + 359.09, + 117.26, + 367.11 + ] + }, + { + "text": "et", + "bbox_points": [ + 119.57, + 358.99, + 125.89, + 366.99 + ] + }, + { + "text": "al.", + "bbox_points": [ + 128.3, + 358.99, + 137.22, + 366.99 + ] + }, + { + "text": "2006a,", + "bbox_points": [ + 139.59, + 359.09, + 163.36, + 367.11 + ] + }, + { + "text": "—", + "bbox_points": [ + 190.21, + 358.81, + 195.71, + 366.81 + ] + }, + { + "text": "0.14–0.18", + "bbox_points": [ + 240.22, + 358.81, + 274.63, + 367.11 + ] + }, + { + "text": "0.225–0.405", + "bbox_points": [ + 290.22, + 358.81, + 333.47, + 367.11 + ] + }, + { + "text": "0.06", + "bbox_points": [ + 340.22, + 359.09, + 355.47, + 367.11 + ] + }, + { + "text": "0.18", + "bbox_points": [ + 382.23, + 359.09, + 397.48, + 367.11 + ] + }, + { + "text": "1", + "bbox_points": [ + 424.18, + 359.09, + 428.6, + 367.11 + ] + }, + { + "text": "30–50°", + "bbox_points": [ + 490.85, + 358.81, + 515.24, + 367.11 + ] + } + ] + }, + { + "text": "2006b, 2007, 2010)", + "bbox_points": [ + 99.84, + 369.58, + 168.64, + 377.6 + ], + "words": [ + { + "text": "2006b,", + "bbox_points": [ + 99.84, + 369.58, + 123.9, + 377.6 + ] + }, + { + "text": "2007,", + "bbox_points": [ + 126.26, + 369.58, + 145.89, + 377.6 + ] + }, + { + "text": "2010)", + "bbox_points": [ + 148.26, + 369.58, + 168.64, + 377.6 + ] + } + ] + }, + { + "text": "8. Tan et al. (2005) 0.4 0.2–0.6 10–20 0.05–0.15 1–4 1 30°", + "bbox_points": [ + 70.88, + 383.3, + 502.43, + 391.6 + ], + "words": [ + { + "text": "8.", + "bbox_points": [ + 70.88, + 383.58, + 77.29, + 391.6 + ] + }, + { + "text": "Tan", + "bbox_points": [ + 91.85, + 383.58, + 105.58, + 391.6 + ] + }, + { + "text": "et", + "bbox_points": [ + 107.95, + 383.48, + 114.27, + 391.48 + ] + }, + { + "text": "al.", + "bbox_points": [ + 116.68, + 383.48, + 125.6, + 391.48 + ] + }, + { + "text": "(2005)", + "bbox_points": [ + 127.97, + 383.58, + 151.12, + 391.6 + ] + }, + { + "text": "0.4", + "bbox_points": [ + 190.21, + 383.58, + 201.05, + 391.6 + ] + }, + { + "text": "0.2–0.6", + "bbox_points": [ + 240.22, + 383.3, + 265.85, + 391.6 + ] + }, + { + "text": "10–20", + "bbox_points": [ + 290.22, + 383.3, + 311.81, + 391.6 + ] + }, + { + "text": "0.05–0.15", + "bbox_points": [ + 340.22, + 383.3, + 374.63, + 391.6 + ] + }, + { + "text": "1–4", + "bbox_points": [ + 382.23, + 383.3, + 395.04, + 391.6 + ] + }, + { + "text": "1", + "bbox_points": [ + 424.19, + 383.58, + 428.6, + 391.6 + ] + }, + { + "text": "30°", + "bbox_points": [ + 490.86, + 383.58, + 502.43, + 391.6 + ] + } + ] + }, + { + "text": "9. Aware et al. (2005) — — 0.3 0.03–0.10 0.07–0.17 Single and 30°", + "bbox_points": [ + 70.88, + 397.31, + 502.43, + 405.6 + ], + "words": [ + { + "text": "9.", + "bbox_points": [ + 70.88, + 397.59, + 77.29, + 405.6 + ] + }, + { + "text": "Aware", + "bbox_points": [ + 91.85, + 397.59, + 114.79, + 405.6 + ] + }, + { + "text": "et", + "bbox_points": [ + 117.2, + 397.49, + 123.52, + 405.49 + ] + }, + { + "text": "al.", + "bbox_points": [ + 125.93, + 397.49, + 134.84, + 405.49 + ] + }, + { + "text": "(2005)", + "bbox_points": [ + 137.21, + 397.59, + 160.36, + 405.6 + ] + }, + { + "text": "—", + "bbox_points": [ + 190.22, + 397.31, + 195.71, + 405.31 + ] + }, + { + "text": "—", + "bbox_points": [ + 240.22, + 397.31, + 245.71, + 405.31 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 290.22, + 397.59, + 301.05, + 405.6 + ] + }, + { + "text": "0.03–0.10", + "bbox_points": [ + 340.22, + 397.31, + 374.64, + 405.6 + ] + }, + { + "text": "0.07–0.17", + "bbox_points": [ + 382.23, + 397.31, + 416.64, + 405.6 + ] + }, + { + "text": "Single", + "bbox_points": [ + 424.19, + 397.59, + 446.33, + 405.6 + ] + }, + { + "text": "and", + "bbox_points": [ + 448.68, + 397.59, + 462.16, + 405.6 + ] + }, + { + "text": "30°", + "bbox_points": [ + 490.86, + 397.59, + 502.43, + 405.6 + ] + } + ] + }, + { + "text": "double array", + "bbox_points": [ + 432.18, + 408.08, + 477.34, + 416.09 + ], + "words": [ + { + "text": "double", + "bbox_points": [ + 432.18, + 408.08, + 456.65, + 416.09 + ] + }, + { + "text": "array", + "bbox_points": [ + 459.05, + 408.08, + 477.34, + 416.09 + ] + } + ] + }, + { + "text": "10. Bejestan & Azizi (2012) — 0.25 0.5 0.25 0.075 1 20°", + "bbox_points": [ + 70.88, + 421.8, + 502.42, + 430.1 + ], + "words": [ + { + "text": "10.", + "bbox_points": [ + 70.88, + 422.08, + 81.71, + 430.09 + ] + }, + { + "text": "Bejestan", + "bbox_points": [ + 91.86, + 422.08, + 122.21, + 430.09 + ] + }, + { + "text": "&", + "bbox_points": [ + 124.57, + 422.08, + 131.9, + 430.09 + ] + }, + { + "text": "Azizi", + "bbox_points": [ + 134.32, + 422.08, + 152.98, + 430.09 + ] + }, + { + "text": "(2012)", + "bbox_points": [ + 155.64, + 422.08, + 178.79, + 430.09 + ] + }, + { + "text": "—", + "bbox_points": [ + 190.22, + 421.8, + 195.71, + 429.8 + ] + }, + { + "text": "0.25", + "bbox_points": [ + 240.21, + 422.08, + 255.46, + 430.1 + ] + }, + { + "text": "0.5", + "bbox_points": [ + 290.21, + 422.08, + 301.04, + 430.1 + ] + }, + { + "text": "0.25", + "bbox_points": [ + 340.21, + 422.08, + 355.46, + 430.1 + ] + }, + { + "text": "0.075", + "bbox_points": [ + 382.22, + 422.08, + 401.89, + 430.1 + ] + }, + { + "text": "1", + "bbox_points": [ + 424.18, + 422.08, + 428.59, + 430.1 + ] + }, + { + "text": "20°", + "bbox_points": [ + 490.85, + 422.08, + 502.42, + 430.1 + ] + } + ] + }, + { + "text": "11. Biswas & Bharbhuiya 0.05 0.288 0.28 0.075 0.27 18–36 15°", + "bbox_points": [ + 70.87, + 435.8, + 502.42, + 444.1 + ], + "words": [ + { + "text": "11.", + "bbox_points": [ + 70.87, + 436.08, + 81.7, + 444.1 + ] + }, + { + "text": "Biswas", + "bbox_points": [ + 91.84, + 436.08, + 116.68, + 444.1 + ] + }, + { + "text": "&", + "bbox_points": [ + 119.11, + 436.08, + 126.44, + 444.1 + ] + }, + { + "text": "Bharbhuiya", + "bbox_points": [ + 128.81, + 436.08, + 170.44, + 444.1 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 190.21, + 436.08, + 205.45, + 444.1 + ] + }, + { + "text": "0.288", + "bbox_points": [ + 240.21, + 436.08, + 259.87, + 444.1 + ] + }, + { + "text": "0.28", + "bbox_points": [ + 290.21, + 436.08, + 305.46, + 444.1 + ] + }, + { + "text": "0.075", + "bbox_points": [ + 340.21, + 436.08, + 359.88, + 444.1 + ] + }, + { + "text": "0.27", + "bbox_points": [ + 382.22, + 436.08, + 397.47, + 444.1 + ] + }, + { + "text": "18–36", + "bbox_points": [ + 424.18, + 435.8, + 445.82, + 444.1 + ] + }, + { + "text": "15°", + "bbox_points": [ + 490.85, + 436.08, + 502.42, + 444.1 + ] + } + ] + }, + { + "text": "(2018)", + "bbox_points": [ + 99.84, + 446.63, + 122.99, + 454.65 + ], + "words": [ + { + "text": "(2018)", + "bbox_points": [ + 99.84, + 446.63, + 122.99, + 454.65 + ] + } + ] + }, + { + "text": "12. Sharma & Ahmad (2020) 0.024–0.052 0.09–0.1241 — 0.05–0.12 0.02–0.06 28–76 vanes in 30°", + "bbox_points": [ + 70.87, + 460.35, + 502.42, + 468.65 + ], + "words": [ + { + "text": "12.", + "bbox_points": [ + 70.87, + 460.63, + 81.7, + 468.65 + ] + }, + { + "text": "Sharma", + "bbox_points": [ + 91.84, + 460.63, + 119.81, + 468.65 + ] + }, + { + "text": "&", + "bbox_points": [ + 122.17, + 460.63, + 129.5, + 468.65 + ] + }, + { + "text": "Ahmad", + "bbox_points": [ + 131.87, + 460.63, + 158.35, + 468.65 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 160.67, + 460.63, + 183.82, + 468.65 + ] + }, + { + "text": "0.024–0.052", + "bbox_points": [ + 190.21, + 460.35, + 233.45, + 468.65 + ] + }, + { + "text": "0.09–0.1241", + "bbox_points": [ + 240.21, + 460.35, + 283.45, + 468.65 + ] + }, + { + "text": "—", + "bbox_points": [ + 290.21, + 460.35, + 295.71, + 468.35 + ] + }, + { + "text": "0.05–0.12", + "bbox_points": [ + 340.21, + 460.35, + 374.62, + 468.65 + ] + }, + { + "text": "0.02–0.06", + "bbox_points": [ + 382.22, + 460.35, + 416.63, + 468.65 + ] + }, + { + "text": "28–76", + "bbox_points": [ + 424.18, + 460.35, + 445.82, + 468.65 + ] + }, + { + "text": "vanes", + "bbox_points": [ + 448.22, + 460.63, + 468.61, + 468.65 + ] + }, + { + "text": "in", + "bbox_points": [ + 470.95, + 460.63, + 478.02, + 468.65 + ] + }, + { + "text": "30°", + "bbox_points": [ + 490.85, + 460.63, + 502.42, + 468.65 + ] + } + ] + }, + { + "text": "four rows", + "bbox_points": [ + 432.17, + 471.12, + 466.43, + 479.14 + ], + "words": [ + { + "text": "four", + "bbox_points": [ + 432.17, + 471.12, + 446.98, + 479.14 + ] + }, + { + "text": "rows", + "bbox_points": [ + 449.41, + 471.12, + 466.43, + 479.14 + ] + } + ] + }, + { + "text": "13. Azizipour et al. (2020) — 0.14 1.5 0.14 — 1 23–60°", + "bbox_points": [ + 70.87, + 484.84, + 515.24, + 493.14 + ], + "words": [ + { + "text": "13.", + "bbox_points": [ + 70.87, + 485.12, + 81.7, + 493.14 + ] + }, + { + "text": "Azizipour", + "bbox_points": [ + 91.85, + 485.12, + 127.39, + 493.14 + ] + }, + { + "text": "et", + "bbox_points": [ + 129.55, + 485.02, + 135.87, + 493.02 + ] + }, + { + "text": "al.", + "bbox_points": [ + 138.28, + 485.02, + 147.19, + 493.02 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 149.56, + 485.12, + 172.71, + 493.14 + ] + }, + { + "text": "—", + "bbox_points": [ + 190.21, + 484.84, + 195.7, + 492.84 + ] + }, + { + "text": "0.14", + "bbox_points": [ + 240.21, + 485.12, + 255.46, + 493.14 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 290.21, + 485.12, + 301.04, + 493.14 + ] + }, + { + "text": "0.14", + "bbox_points": [ + 340.22, + 485.12, + 355.46, + 493.14 + ] + }, + { + "text": "—", + "bbox_points": [ + 382.22, + 484.84, + 387.72, + 492.84 + ] + }, + { + "text": "1", + "bbox_points": [ + 424.18, + 485.12, + 428.59, + 493.14 + ] + }, + { + "text": "23–60°", + "bbox_points": [ + 490.85, + 484.84, + 515.24, + 493.14 + ] + } + ] + }, + { + "text": "14. Safaripour et al. (2020) 0.07 0.18 1.5 0.075 — 2 25°", + "bbox_points": [ + 70.87, + 498.85, + 502.42, + 507.14 + ], + "words": [ + { + "text": "14.", + "bbox_points": [ + 70.87, + 499.13, + 81.7, + 507.14 + ] + }, + { + "text": "Safaripour", + "bbox_points": [ + 91.85, + 499.13, + 129.61, + 507.14 + ] + }, + { + "text": "et", + "bbox_points": [ + 131.81, + 499.03, + 138.13, + 507.03 + ] + }, + { + "text": "al.", + "bbox_points": [ + 140.54, + 499.03, + 149.46, + 507.03 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 151.83, + 499.13, + 174.98, + 507.14 + ] + }, + { + "text": "0.07", + "bbox_points": [ + 190.21, + 499.13, + 205.46, + 507.14 + ] + }, + { + "text": "0.18", + "bbox_points": [ + 240.21, + 499.13, + 255.46, + 507.14 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 290.21, + 499.13, + 301.05, + 507.14 + ] + }, + { + "text": "0.075", + "bbox_points": [ + 340.22, + 499.13, + 359.88, + 507.14 + ] + }, + { + "text": "—", + "bbox_points": [ + 382.23, + 498.85, + 387.72, + 506.85 + ] + }, + { + "text": "2", + "bbox_points": [ + 424.18, + 499.13, + 428.59, + 507.14 + ] + }, + { + "text": "25°", + "bbox_points": [ + 490.85, + 499.13, + 502.42, + 507.14 + ] + } + ] + }, + { + "text": "15. Baltazar et al. (2021) 0.029 0.1 0.86 0.1 0.03 7 vane in two 20°", + "bbox_points": [ + 70.87, + 513.03, + 502.43, + 521.15 + ], + "words": [ + { + "text": "15.", + "bbox_points": [ + 70.87, + 513.13, + 81.7, + 521.15 + ] + }, + { + "text": "Baltazar", + "bbox_points": [ + 91.85, + 513.13, + 121.97, + 521.15 + ] + }, + { + "text": "et", + "bbox_points": [ + 124.16, + 513.03, + 130.48, + 521.03 + ] + }, + { + "text": "al.", + "bbox_points": [ + 132.89, + 513.03, + 141.8, + 521.03 + ] + }, + { + "text": "(2021)", + "bbox_points": [ + 144.17, + 513.13, + 167.33, + 521.15 + ] + }, + { + "text": "0.029", + "bbox_points": [ + 190.21, + 513.13, + 209.87, + 521.15 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 240.21, + 513.13, + 251.04, + 521.15 + ] + }, + { + "text": "0.86", + "bbox_points": [ + 290.21, + 513.13, + 305.46, + 521.15 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 340.22, + 513.13, + 351.05, + 521.15 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 382.23, + 513.13, + 397.47, + 521.15 + ] + }, + { + "text": "7", + "bbox_points": [ + 424.18, + 513.13, + 428.59, + 521.15 + ] + }, + { + "text": "vane", + "bbox_points": [ + 430.98, + 513.13, + 448.05, + 521.15 + ] + }, + { + "text": "in", + "bbox_points": [ + 450.43, + 513.13, + 457.5, + 521.15 + ] + }, + { + "text": "two", + "bbox_points": [ + 459.89, + 513.13, + 473.37, + 521.15 + ] + }, + { + "text": "20°", + "bbox_points": [ + 490.85, + 513.13, + 502.43, + 521.15 + ] + } + ] + }, + { + "text": "row", + "bbox_points": [ + 432.17, + 523.62, + 445.93, + 531.63 + ], + "words": [ + { + "text": "row", + "bbox_points": [ + 432.17, + 523.62, + 445.93, + 531.63 + ] + } + ] + }, + { + "text": "16. Gumgum & Cardoso 0.029 0.1 0.86 0.1 0.02–0.04 3,6 in a row 10–50°", + "bbox_points": [ + 70.87, + 537.34, + 515.24, + 545.64 + ], + "words": [ + { + "text": "16.", + "bbox_points": [ + 70.87, + 537.62, + 81.7, + 545.64 + ] + }, + { + "text": "Gumgum", + "bbox_points": [ + 91.85, + 537.62, + 125.74, + 545.64 + ] + }, + { + "text": "&", + "bbox_points": [ + 128.07, + 537.62, + 135.4, + 545.64 + ] + }, + { + "text": "Cardoso", + "bbox_points": [ + 137.77, + 537.62, + 167.89, + 545.64 + ] + }, + { + "text": "0.029", + "bbox_points": [ + 190.21, + 537.62, + 209.87, + 545.64 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 240.21, + 537.62, + 251.04, + 545.64 + ] + }, + { + "text": "0.86", + "bbox_points": [ + 290.22, + 537.62, + 305.46, + 545.64 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 340.22, + 537.62, + 351.05, + 545.64 + ] + }, + { + "text": "0.02–0.04", + "bbox_points": [ + 382.23, + 537.34, + 416.64, + 545.64 + ] + }, + { + "text": "3,6", + "bbox_points": [ + 424.18, + 537.62, + 435.01, + 545.64 + ] + }, + { + "text": "in", + "bbox_points": [ + 437.39, + 537.62, + 444.46, + 545.64 + ] + }, + { + "text": "a", + "bbox_points": [ + 446.86, + 537.62, + 451.02, + 545.64 + ] + }, + { + "text": "row", + "bbox_points": [ + 453.43, + 537.62, + 467.13, + 545.64 + ] + }, + { + "text": "10–50°", + "bbox_points": [ + 490.85, + 537.34, + 515.24, + 545.64 + ] + } + ] + }, + { + "text": "(2022)", + "bbox_points": [ + 99.84, + 548.11, + 122.99, + 556.12 + ], + "words": [ + { + "text": "(2022)", + "bbox_points": [ + 99.84, + 548.11, + 122.99, + 556.12 + ] + } + ] + }, + { + "text": "17. Bor (2022) 0.045 0.12 0.85 0.09 0.03 3 vane in single 20°", + "bbox_points": [ + 70.87, + 562.11, + 502.43, + 570.13 + ], + "words": [ + { + "text": "17.", + "bbox_points": [ + 70.87, + 562.11, + 81.7, + 570.13 + ] + }, + { + "text": "Bor", + "bbox_points": [ + 91.85, + 562.11, + 105.16, + 570.13 + ] + }, + { + "text": "(2022)", + "bbox_points": [ + 107.55, + 562.11, + 130.7, + 570.13 + ] + }, + { + "text": "0.045", + "bbox_points": [ + 190.21, + 562.11, + 209.87, + 570.13 + ] + }, + { + "text": "0.12", + "bbox_points": [ + 240.21, + 562.11, + 255.46, + 570.13 + ] + }, + { + "text": "0.85", + "bbox_points": [ + 290.22, + 562.11, + 305.47, + 570.13 + ] + }, + { + "text": "0.09", + "bbox_points": [ + 340.22, + 562.11, + 355.47, + 570.13 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 382.23, + 562.11, + 397.48, + 570.13 + ] + }, + { + "text": "3", + "bbox_points": [ + 424.18, + 562.11, + 428.6, + 570.13 + ] + }, + { + "text": "vane", + "bbox_points": [ + 430.98, + 562.11, + 448.05, + 570.13 + ] + }, + { + "text": "in", + "bbox_points": [ + 450.43, + 562.11, + 457.5, + 570.13 + ] + }, + { + "text": "single", + "bbox_points": [ + 459.9, + 562.11, + 480.63, + 570.13 + ] + }, + { + "text": "20°", + "bbox_points": [ + 490.85, + 562.11, + 502.43, + 570.13 + ] + } + ] + }, + { + "text": "column", + "bbox_points": [ + 432.17, + 572.6, + 459.4, + 580.62 + ], + "words": [ + { + "text": "column", + "bbox_points": [ + 432.17, + 572.6, + 459.4, + 580.62 + ] + } + ] + }, + { + "text": "18. Sarlak et al. 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Vaghefiet al. 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{ + "text": "mg/L", + "bbox_points": [ + 166.28, + 123.88, + 186.18, + 131.89 + ] + }, + { + "text": "no", + "bbox_points": [ + 256.48, + 123.88, + 265.8, + 131.89 + ] + }, + { + "text": "mention", + "bbox_points": [ + 268.21, + 123.88, + 298.18, + 131.89 + ] + }, + { + "text": "84.0", + "bbox_points": [ + 403.26, + 123.88, + 418.5, + 131.89 + ] + }, + { + "text": "123.0", + "bbox_points": [ + 448.72, + 123.88, + 468.39, + 131.89 + ] + }, + { + "text": "99.5", + "bbox_points": [ + 495.66, + 123.88, + 510.91, + 131.89 + ] + }, + { + "text": "9.0", + "bbox_points": [ + 536.94, + 123.88, + 547.77, + 131.89 + ] + } + ] + }, + { + "text": "Total hardness (CaCO3) mg/L 500 no mention 500 4 32.0 58.0 46.5 6.3", + "bbox_points": [ + 64.01, + 137.78, + 547.77, + 146.62 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 137.88, + 82.47, + 145.9 + ] + }, + { + "text": "hardness", + "bbox_points": [ + 84.87, + 137.88, + 116.81, + 145.9 + ] + }, + { + "text": "(CaCO3)", + "bbox_points": [ + 119.23, + 137.88, + 150.2, + 146.62 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 166.28, + 137.88, + 186.18, + 145.9 + ] + }, + { + "text": "500", + "bbox_points": [ + 202.22, + 137.88, + 215.47, + 145.9 + ] + }, + { + "text": "no", + "bbox_points": [ + 256.48, + 137.88, + 265.8, + 145.9 + ] + }, + { + "text": "mention", + "bbox_points": [ + 268.21, + 137.88, + 298.18, + 145.9 + ] + }, + { + "text": "500", + "bbox_points": [ + 331.82, + 137.88, + 345.07, + 145.9 + ] + }, + { + "text": "4", + "bbox_points": [ + 382.79, + 137.78, + 387.2, + 145.78 + ] + }, + { + "text": "32.0", + "bbox_points": [ + 403.26, + 137.88, + 418.5, + 145.9 + ] + }, + { + "text": "58.0", + "bbox_points": [ + 448.72, + 137.88, + 463.97, + 145.9 + ] + }, + { + "text": "46.5", + "bbox_points": [ + 495.66, + 137.88, + 510.91, + 145.9 + ] + }, + { + "text": "6.3", + "bbox_points": [ + 536.94, + 137.88, + 547.77, + 145.9 + ] + } + ] + }, + { + "text": ".500 0", + "bbox_points": [ + 325.64, + 148.09, + 387.2, + 156.38 + ], + "words": [ + { + "text": ".500", + "bbox_points": [ + 325.64, + 148.09, + 345.52, + 156.38 + ] + }, + { + "text": "0", + "bbox_points": [ + 382.79, + 148.27, + 387.2, + 156.27 + ] + } + ] + }, + { + "text": "Calcium (Ca2 þ) mg/L 100 200 100 4 12.6 21.0 15.8 1.8", + "bbox_points": [ + 64.01, + 160.65, + 547.77, + 171.12 + ], + "words": [ + { + "text": "Calcium", + "bbox_points": [ + 64.01, + 162.37, + 94.14, + 170.39 + ] + }, + { + "text": "(Ca2", + "bbox_points": [ + 96.49, + 162.37, + 112.39, + 171.12 + ] + }, + { + "text": "þ)", + "bbox_points": [ + 109.08, + 160.65, + 116.47, + 170.39 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 166.28, + 162.37, + 186.18, + 170.39 + ] + }, + { + "text": "100", + "bbox_points": [ + 202.22, + 162.37, + 215.47, + 170.39 + ] + }, + { + "text": "200", + "bbox_points": [ + 256.48, + 162.37, + 269.73, + 170.39 + ] + }, + { + "text": "100", + "bbox_points": [ + 331.82, + 162.37, + 345.07, + 170.39 + ] + }, + { + "text": "4", + "bbox_points": [ + 382.79, + 162.27, + 387.2, + 170.27 + ] + }, + { + "text": "12.6", + "bbox_points": [ + 403.26, + 162.37, + 418.5, + 170.39 + ] + }, + { + "text": "21.0", + "bbox_points": [ + 448.72, + 162.37, + 463.97, + 170.39 + ] + }, + { + "text": "15.8", + "bbox_points": [ + 495.66, + 162.37, + 510.91, + 170.39 + ] + }, + { + "text": "1.8", + "bbox_points": [ + 536.94, + 162.37, + 547.77, + 170.39 + ] + } + ] + }, + { + "text": ".100 0", + "bbox_points": [ + 325.64, + 172.58, + 387.2, + 180.88 + ], + "words": [ + { + "text": ".100", + "bbox_points": [ + 325.64, + 172.58, + 345.52, + 180.88 + ] + }, + { + "text": "0", + "bbox_points": [ + 382.79, + 172.76, + 387.2, + 180.76 + ] + } + ] + }, + { + "text": "Magnesium (Mg2 þ) mg/L 50 50 50 4 0.1 4.4 1.7 0.9", + "bbox_points": [ + 64.01, + 185.2, + 547.77, + 195.61 + ], + "words": [ + { + "text": "Magnesium", + "bbox_points": [ + 64.01, + 186.86, + 105.8, + 194.88 + ] + }, + { + "text": "(Mg2", + "bbox_points": [ + 108.17, + 186.86, + 125.94, + 195.61 + ] + }, + { + "text": "þ)", + "bbox_points": [ + 122.63, + 185.2, + 130.02, + 194.88 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 166.28, + 186.86, + 186.18, + 194.88 + ] + }, + { + "text": "50", + "bbox_points": [ + 202.22, + 186.86, + 211.06, + 194.88 + ] + }, + { + "text": "50", + "bbox_points": [ + 256.48, + 186.86, + 265.31, + 194.88 + ] + }, + { + "text": "50", + "bbox_points": [ + 331.82, + 186.86, + 340.65, + 194.88 + ] + }, + { + "text": "4", + "bbox_points": [ + 382.79, + 186.76, + 387.21, + 194.76 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 403.26, + 186.86, + 414.09, + 194.88 + ] + }, + { + "text": "4.4", + "bbox_points": [ + 448.72, + 186.86, + 459.55, + 194.88 + ] + }, + { + "text": "1.7", + "bbox_points": [ + 495.66, + 186.86, + 506.5, + 194.88 + ] + }, + { + "text": "0.9", + "bbox_points": [ + 536.94, + 186.86, + 547.77, + 194.88 + ] + } + ] + }, + { + "text": ".50 0", + "bbox_points": [ + 325.64, + 197.13, + 387.21, + 205.42 + ], + "words": [ + { + "text": ".50", + "bbox_points": [ + 325.64, + 197.13, + 341.11, + 205.42 + ] + }, + { + "text": "0", + "bbox_points": [ + 382.79, + 197.31, + 387.21, + 205.31 + ] + } + ] + }, + { + "text": "Potassium (Kþ) mg/L 12 1.2 2.0 1.6 0.2", + "bbox_points": [ + 64.01, + 209.69, + 547.77, + 219.37 + ], + "words": [ + { + "text": "Potassium", + "bbox_points": [ + 64.01, + 211.35, + 100.7, + 219.37 + ] + }, + { + "text": "(Kþ)", + "bbox_points": [ + 103.01, + 209.69, + 119.13, + 219.37 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 166.28, + 211.35, + 186.18, + 219.37 + ] + }, + { + "text": "12", + "bbox_points": [ + 256.48, + 211.35, + 265.31, + 219.37 + ] + }, + { + "text": "1.2", + "bbox_points": [ + 403.26, + 211.35, + 414.09, + 219.37 + ] + }, + { + "text": "2.0", + "bbox_points": [ + 448.72, + 211.35, + 459.56, + 219.37 + ] + }, + { + "text": "1.6", + "bbox_points": [ + 495.67, + 211.35, + 506.5, + 219.37 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 536.94, + 211.35, + 547.77, + 219.37 + ] + } + ] + }, + { + "text": "Sodium (Naþ) mg/L 200 13.0 23.0 17.8 2.3", + "bbox_points": [ + 64.01, + 223.7, + 547.77, + 233.37 + ], + "words": [ + { + "text": "Sodium", + "bbox_points": [ + 64.01, + 225.36, + 91.81, + 233.37 + ] + }, + { + "text": "(Naþ)", + "bbox_points": [ + 94.17, + 223.7, + 115.11, + 233.37 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 166.28, + 225.36, + 186.18, + 233.37 + ] + }, + { + "text": "200", + "bbox_points": [ + 256.48, + 225.36, + 269.73, + 233.37 + ] + }, + { + "text": "13.0", + "bbox_points": [ + 403.26, + 225.36, + 418.5, + 233.37 + ] + }, + { + "text": "23.0", + "bbox_points": [ + 448.72, + 225.36, + 463.97, + 233.37 + ] + }, + { + "text": "17.8", + "bbox_points": [ + 495.67, + 225.36, + 510.91, + 233.37 + ] + }, + { + "text": "2.3", + "bbox_points": [ + 536.94, + 225.36, + 547.77, + 233.37 + ] + } + ] + }, + { + "text": "Bicarbonates (HCO3 ) mg/L no mention 39.0 70.8 56.7 7.7", + "bbox_points": [ + 64.01, + 239.36, + 547.77, + 248.1 + ], + "words": [ + { + "text": "Bicarbonates", + "bbox_points": [ + 64.01, + 239.36, + 110.76, + 247.38 + ] + }, + { + "text": "(HCO3", + "bbox_points": [ + 113.16, + 239.36, + 138.47, + 248.1 + ] + }, + { + "text": ")", + "bbox_points": [ + 139.8, + 239.36, + 142.55, + 247.38 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 166.28, + 239.36, + 186.18, + 247.38 + ] + }, + { + "text": "no", + "bbox_points": [ + 256.48, + 239.36, + 265.8, + 247.38 + ] + }, + { + "text": "mention", + "bbox_points": [ + 268.21, + 239.36, + 298.18, + 247.38 + ] + }, + { + "text": "39.0", + "bbox_points": [ + 403.26, + 239.36, + 418.5, + 247.38 + ] + }, + { + "text": "70.8", + "bbox_points": [ + 448.72, + 239.36, + 463.97, + 247.38 + ] + }, + { + "text": "56.7", + "bbox_points": [ + 495.67, + 239.36, + 510.91, + 247.38 + ] + }, + { + "text": "7.7", + "bbox_points": [ + 536.94, + 239.36, + 547.77, + 247.38 + ] + } + ] + }, + { + "text": "Chlorides (Cl ) mg/L 250 250 250 4 12.0 20.0 16.0 1.8", + "bbox_points": [ + 64.01, + 253.26, + 547.77, + 261.38 + ], + "words": [ + { + "text": "Chlorides", + "bbox_points": [ + 64.01, + 253.36, + 98.72, + 261.38 + ] + }, + { + "text": "(Cl", + "bbox_points": [ + 101.14, + 253.36, + 111.96, + 261.38 + ] + }, + { + "text": ")", + "bbox_points": [ + 116.9, + 253.36, + 119.64, + 261.38 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 166.28, + 253.36, + 186.18, + 261.38 + ] + }, + { + "text": "250", + "bbox_points": [ + 202.22, + 253.36, + 215.47, + 261.38 + ] + }, + { + "text": "250", + "bbox_points": [ + 256.48, + 253.36, + 269.73, + 261.38 + ] + }, + { + "text": "250", + "bbox_points": [ + 331.82, + 253.36, + 345.07, + 261.38 + ] + }, + { + "text": "4", + "bbox_points": [ + 382.79, + 253.26, + 387.2, + 261.26 + ] + }, + { + "text": "12.0", + "bbox_points": [ + 403.25, + 253.36, + 418.5, + 261.38 + ] + }, + { + "text": "20.0", + "bbox_points": [ + 448.72, + 253.36, + 463.97, + 261.38 + ] + }, + { + "text": "16.0", + "bbox_points": [ + 495.66, + 253.36, + 510.91, + 261.38 + ] + }, + { + "text": "1.8", + "bbox_points": [ + 536.94, + 253.36, + 547.77, + 261.38 + ] + } + ] + }, + { + "text": ".250 0", + "bbox_points": [ + 325.64, + 263.63, + 387.2, + 271.92 + ], + "words": [ + { + "text": ".250", + "bbox_points": [ + 325.64, + 263.63, + 345.52, + 271.92 + ] + }, + { + "text": "0", + "bbox_points": [ + 382.79, + 263.81, + 387.2, + 271.81 + ] + } + ] + }, + { + "text": "Sulfates (SO4", + "bbox_points": [ + 64.01, + 277.85, + 111.94, + 286.6 + ], + "words": [ + { + "text": "Sulfates", + "bbox_points": [ + 64.01, + 277.85, + 92.0, + 285.87 + ] + }, + { + "text": "(SO4", + "bbox_points": [ + 94.39, + 277.85, + 111.94, + 286.6 + ] + } + ] + }, + { + "text": "2", + "bbox_points": [ + 108.62, + 276.38, + 111.94, + 281.72 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 108.62, + 276.38, + 111.94, + 281.72 + ] + } + ] + }, + { + "text": ") mg/L 500 250 500 4 6.0 12.0 8.5 1.3", + "bbox_points": [ + 116.5, + 277.75, + 547.77, + 285.87 + ], + "words": [ + { + "text": ")", + "bbox_points": [ + 116.5, + 277.85, + 119.25, + 285.87 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 166.28, + 277.85, + 186.18, + 285.87 + ] + }, + { + "text": "500", + "bbox_points": [ + 202.22, + 277.85, + 215.47, + 285.87 + ] + }, + { + "text": "250", + "bbox_points": [ + 256.48, + 277.85, + 269.73, + 285.87 + ] + }, + { + "text": "500", + "bbox_points": [ + 331.82, + 277.85, + 345.07, + 285.87 + ] + }, + { + "text": "4", + "bbox_points": [ + 382.79, + 277.75, + 387.2, + 285.75 + ] + }, + { + "text": "6.0", + "bbox_points": [ + 403.25, + 277.85, + 414.09, + 285.87 + ] + }, + { + "text": "12.0", + "bbox_points": [ + 448.72, + 277.85, + 463.97, + 285.87 + ] + }, + { + "text": "8.5", + "bbox_points": [ + 495.66, + 277.85, + 506.5, + 285.87 + ] + }, + { + "text": "1.3", + "bbox_points": [ + 536.94, + 277.85, + 547.77, + 285.87 + ] + } + ] + }, + { + "text": ".500 0", + "bbox_points": [ + 325.64, + 288.12, + 387.2, + 296.42 + ], + "words": [ + { + "text": ".500", + "bbox_points": [ + 325.64, + 288.12, + 345.52, + 296.42 + ] + }, + { + "text": "0", + "bbox_points": [ + 382.79, + 288.3, + 387.2, + 296.3 + ] + } + ] + }, + { + "text": "Nitrates (NO3 ) mg/L 50 50 50 4 3.8 9.0 6.0 1.1", + "bbox_points": [ + 64.01, + 302.3, + 547.77, + 311.09 + ], + "words": [ + { + "text": "Nitrates", + "bbox_points": [ + 64.01, + 302.4, + 92.51, + 310.42 + ] + }, + { + "text": "(NO3", + "bbox_points": [ + 94.9, + 302.4, + 114.43, + 311.09 + ] + }, + { + "text": ")", + "bbox_points": [ + 115.71, + 302.4, + 118.45, + 310.42 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 166.28, + 302.4, + 186.18, + 310.42 + ] + }, + { + "text": "50", + "bbox_points": [ + 202.22, + 302.4, + 211.06, + 310.42 + ] + }, + { + "text": "50", + "bbox_points": [ + 256.48, + 302.4, + 265.31, + 310.42 + ] + }, + { + "text": "50", + "bbox_points": [ + 331.82, + 302.4, + 340.65, + 310.42 + ] + }, + { + "text": "4", + "bbox_points": [ 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+ 554.69, + 550.54, + 562.7 + ] + } + ] + }, + { + "text": "Total coliforms UFC/100 mL 00 00 .100 .100 .100 .100", + "bbox_points": [ + 64.01, + 568.41, + 566.06, + 576.71 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 568.69, + 82.47, + 576.71 + ] + }, + { + "text": "coliforms", + "bbox_points": [ + 84.87, + 568.69, + 118.66, + 576.71 + ] + }, + { + "text": "UFC/100", + "bbox_points": [ + 173.88, + 568.69, + 207.52, + 576.71 + ] + }, + { + "text": "mL", + "bbox_points": [ + 209.42, + 568.69, + 221.75, + 576.71 + ] + }, + { + "text": "00", + "bbox_points": [ + 247.81, + 568.69, + 256.64, + 576.71 + ] + }, + { + "text": "00", + "bbox_points": [ + 323.09, + 568.69, + 331.93, + 576.71 + ] + }, + { + "text": ".100", + "bbox_points": [ + 408.36, + 568.41, + 428.24, + 576.71 + ] + }, + { + "text": ".100", + "bbox_points": [ + 454.28, + 568.41, + 474.16, + 576.71 + ] + }, + { + "text": ".100", + "bbox_points": [ + 500.2, + 568.41, + 520.08, + 576.71 + ] + }, + { + "text": ".100", + "bbox_points": [ + 546.12, + 568.41, + 566.06, + 576.71 + ] + } + ] + }, + { + "text": "Fecal Enterococci UFC/100 mL 00 00 0 0 0 0", + "bbox_points": [ + 64.01, + 582.69, + 550.54, + 590.71 + ], + "words": [ + { + "text": "Fecal", + "bbox_points": [ + 64.01, + 582.69, + 83.03, + 590.71 + ] + }, + { + "text": "Enterococci", + "bbox_points": [ + 85.44, + 582.69, + 128.7, + 590.71 + ] + }, + { + "text": "UFC/100", + "bbox_points": [ + 173.88, + 582.69, + 207.52, + 590.71 + ] + }, + { + "text": "mL", + "bbox_points": [ + 209.42, + 582.69, + 221.75, + 590.71 + ] + }, + { + "text": "00", + "bbox_points": [ + 247.8, + 582.69, + 256.64, + 590.71 + ] + }, + { + "text": "00", + "bbox_points": [ + 323.09, + 582.69, + 331.92, + 590.71 + ] + }, + { + "text": "0", + "bbox_points": [ + 408.36, + 582.69, + 412.77, + 590.71 + ] + }, + { + "text": "0", + "bbox_points": [ + 454.28, + 582.69, + 458.69, + 590.71 + ] + }, + { + "text": "0", + "bbox_points": [ + 500.2, + 582.69, + 504.62, + 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b/Figures/Maqbool et al. - 2024 - Relation of organic fractions in fresh and stored fecal sludge and foodwaste to biogas production/table_02.txt @@ -0,0 +1 @@ +Metrics of stabilization (VS/TS, TOC/TN, BOD/COD) for BMP tests time 0, hydrolysis rate coefficients for COD (KCOD), sCOD (KsCOD) PS diff --git a/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_01.jpg b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cec2ad263edb43e18fd41162ec84bdbdfc422c06 --- /dev/null +++ b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d61996deb63eec47620d8d6d27d83bd4ee5adb4879099bbe9018a3f71c96e85f +size 87027 diff --git a/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_01.txt b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1f4c9f4dcb3ae5f4a0a0808b24a31a2d19158bf --- /dev/null +++ b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_01.txt @@ -0,0 +1 @@ +Digitized topographic map showing the position of the envisioned LERIB facility at the iThemba LABS with sampling points located around the facility. In terms of the climate and weather conditions, Cape Town has a Mediterranean climate, that consists of warm summers with a maximum average of 26 °C. The region experiences cool winters with an average minimum of 7 °C. Regional studies have shown that there is very little rainfall between late spring and early autumn (October–March) (Adelana et al., 2006). However, most of the annual rainfall occurs in the middle of winter (June) with a mean annual precipitation of 619 mm (Olivier .& Xu 2019). diff --git a/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_02.jpg b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..49e5564d0d88ad6e004125513f05d627a295aadc --- /dev/null +++ b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:65f973315e434ca177a38654aed287bc443b74063ba753d24727420a33603089 +size 97910 diff --git a/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_02.txt b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a78a8027fddbd6470301eb3eaff7dfa2f64a427 --- /dev/null +++ b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_02.txt @@ -0,0 +1 @@ +Geological setting of the Cape Super Group. Source: Tankard et al. 1982. diff --git a/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_03.jpg b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c7cf283432c2d7d401a5a82a108410acc7a1bb4f --- /dev/null +++ b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:88f67d22f6e8e37ea1d922fc8680148f7e2be1a6a23503a3649142f0d50d6066 +size 95213 diff --git a/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_03.txt b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..dce9060c6eadf7b002928d3ecf6b77042147f5e5 --- /dev/null +++ b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_03.txt @@ -0,0 +1 @@ +Photograph of the HPGe detector setup with a lead castle on the left housing the detector and supported on a mechanically rigid cryostat connected to a liquid nitrogen Dewar and a sketch of an experimental setup on the right. diff --git a/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_04.jpg b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..63382cd865d2ae00d5cbe4788a70e225f56cfca7 --- /dev/null +++ b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1c5b75267ac413303e162d8f2f045533689c8fbe26de1fa48e64de549a54b05c +size 56833 diff --git a/Figures/Marazula et al. - 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"bbox_points": [ + 64.01, + 217.36, + 553.34, + 225.38 + ], + "words": [ + { + "text": "Basement", + "bbox_points": [ + 64.01, + 217.36, + 99.3, + 225.38 + ] + }, + { + "text": "Underlying", + "bbox_points": [ + 183.41, + 217.36, + 223.52, + 225.38 + ] + }, + { + "text": "the", + "bbox_points": [ + 225.93, + 217.36, + 237.24, + 225.38 + ] + }, + { + "text": "TMG", + "bbox_points": [ + 239.59, + 217.36, + 259.08, + 225.38 + ] + }, + { + "text": "are", + "bbox_points": [ + 261.47, + 217.36, + 272.61, + 225.38 + ] + }, + { + "text": "the", + "bbox_points": [ + 274.96, + 217.36, + 286.28, + 225.38 + ] + }, + { + "text": "Malmesbury", + "bbox_points": [ + 288.68, + 217.36, + 333.3, + 225.38 + ] + }, + { + "text": "shales,", + "bbox_points": [ + 335.51, + 217.36, + 359.4, + 225.38 + ] + }, + { + "text": "the", + "bbox_points": [ + 361.76, + 217.36, + 373.08, + 225.38 + ] + }, + { + "text": "Gamtoos", + "bbox_points": [ + 375.48, + 217.36, + 408.35, + 225.38 + ] + }, + { + "text": "and", + "bbox_points": [ + 410.74, + 217.36, + 424.22, + 225.38 + ] + }, + { + "text": "the", + "bbox_points": [ + 426.62, + 217.36, + 437.94, + 225.38 + ] + }, + { + "text": "Kaaimans", + "bbox_points": [ + 440.28, + 217.36, + 476.16, + 225.38 + ] + }, + { + "text": "argillites,", + "bbox_points": [ + 478.49, + 217.36, + 511.03, + 225.38 + ] + }, + { + "text": "comprising", + "bbox_points": [ + 513.41, + 217.36, + 553.34, + 225.38 + ] + } + ] + }, + { + "text": "moderately to lightly metamorphic sedimentary rocks; and cape granite suite.", + "bbox_points": [ + 191.4, + 227.91, + 469.63, + 235.92 + ], + "words": [ + { + "text": "moderately", + "bbox_points": [ + 191.4, + 227.91, + 231.35, + 235.92 + ] + }, + { + "text": "to", + "bbox_points": [ + 233.75, + 227.91, + 240.9, + 235.92 + ] + }, + { + "text": "lightly", + "bbox_points": [ + 243.27, + 227.91, + 265.58, + 235.92 + ] + }, + { + "text": "metamorphic", + "bbox_points": [ + 267.93, + 227.91, + 315.97, + 235.92 + ] + }, + { + "text": "sedimentary", + "bbox_points": [ + 318.39, + 227.91, + 362.16, + 235.92 + ] + }, + { + "text": "rocks;", + "bbox_points": [ + 364.54, + 227.91, + 386.35, + 235.92 + ] + }, + { + "text": "and", + "bbox_points": [ + 388.69, + 227.91, + 402.17, + 235.92 + ] + }, + { + "text": "cape", + "bbox_points": [ + 404.56, + 227.91, + 421.3, + 235.92 + ] + }, + { + "text": "granite", + "bbox_points": [ + 423.67, + 227.91, + 448.45, + 235.92 + ] + }, + { + "text": "suite.", + "bbox_points": [ + 450.83, + 227.91, + 469.63, + 235.92 + ] + } + ] + }, + { + "text": "Source: Duah & Xu 2010", + "bbox_points": [ + 64.01, + 244.2, + 130.83, + 250.23 + ], + "words": [ + { + "text": "Source:", + "bbox_points": [ + 64.01, + 244.2, + 84.36, + 250.2 + ] + }, + { + "text": "Duah", + "bbox_points": [ + 86.29, + 244.23, + 100.33, + 250.23 + ] + }, + { + "text": "&", + "bbox_points": [ + 102.33, + 244.23, + 106.39, + 250.23 + ] + }, + { + "text": "Xu", + "bbox_points": [ + 108.4, + 244.23, + 115.58, + 250.23 + ] + }, + { + "text": "2010", + "bbox_points": [ + 117.58, + 244.23, + 130.83, + 250.23 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/table_01.txt b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..129b4a0c692b150a8b59b63a6b17c18cc6df41e2 --- /dev/null +++ b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/table_01.txt @@ -0,0 +1 @@ +Stratigraphy of the TMG diff --git a/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil and groundwater from a radionuclide production facilit/table_02.jpg b/Figures/Marazula et al. - 2024 - Neutron activation of stable isotopes in soil 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inequalities using a multi-scale approach/figure_01.jpg b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f9ec369daa2931f2eaebd6a23b7240a3545943c1 --- /dev/null +++ b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5ed48918c9e26eb23974b2b7655e210716af12e76315f4d1f8ac5e30d3e61bde +size 181490 diff --git a/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_01.txt b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..a6748a7464ce8f02484a10e042a5aa577c3a9c55 --- 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approach/figure_04.jpg b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e92331adbcc06586d2badced1a85426318829779 --- /dev/null +++ b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6613fe0be985b19fa3e9256f4d7a9262d77bd1cc478d21b8d4b13953f25a4b85 +size 98319 diff --git a/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_04.txt b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c495267d5851f7accc44295d1c71ab891d89a74 --- /dev/null +++ b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_04.txt @@ -0,0 +1 @@ +Urban water security assessment scores at the city scale (grey bars) and sample size (n, blue markers) for all the indicators in the framework. The red shaded region shows indicators for which sample size is smaller than 5. diff --git a/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_05.jpg b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5d4e89e403b8e246e0c705b838a1a309a5eea86f --- /dev/null +++ b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:33abdf9d717c917e212b6eb77edea13523edd49f6b26f77fc4a6ea15a960b48b +size 52981 diff --git a/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_05.txt b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..52a44870895d2a0014a1618fd3bed5b7aa87d257 --- /dev/null +++ b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_05.txt @@ -0,0 +1 @@ +Final aggregated scores of the urban water security assessment for the different scales along the four dimensions: Drinking water and well-being (A, blue); ecosystems (B, green); water-related hazards and climate change (C, red) and economic and social development (D, yellow). diff --git a/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_06.jpg b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..37cfe416affcd60a3b7fa39614f249259f6bd25e --- /dev/null +++ b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a523c656c217abfd3d8d1cb21f8c32c232344d77af7b14548b474827b1e267e3 +size 105509 diff --git a/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_06.txt b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..158a1d5c753baa40c18a80e1222322743a45bd41 --- /dev/null +++ b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_06.txt @@ -0,0 +1 @@ +Map visualisation of resulting aggregated scores of dimensions (a) A: Drinking water and well-being, (b) B: Ecosystems, (c) C: Water-related hazards and climate change and (d) D: Economic and social development, for the three considered scales (city, regions and sectors). diff --git a/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_07.jpg b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..20f9cc75aad3f18ec70f2587e27074d259d877e7 --- /dev/null +++ b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cad2335db809b3003800dfc91264b61cd98e19f5fc1209ba8db260530d08c67b +size 182900 diff --git a/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_07.txt b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3a5977a040d050d8c93a8c86794c52c85c179f7 --- /dev/null +++ b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_07.txt @@ -0,0 +1 @@ +Resulting urban water security assessment scores for indicators at: (a) the city (bars) and region (hexagon markers) scales and (b) city (bars) and sector (round markers) scales. The resulting assessment scores aggregated by categories are also presented in (c) for city and region and (d) for city and sector scales. diff --git a/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_08.jpg b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c365562cecea6d5bc3393c927b7c38f23ceab99b --- /dev/null +++ b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cb3d1f0cba50d436ececbac0954c48131496213ef335fb724619e5784a75b1ab +size 83480 diff --git a/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_08.txt b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..202918e02fb6888eb0192b3e14007b79d2a77514 --- /dev/null +++ b/Figures/Marcal et al. - 2024 - Urban water security assessment investigating inequalities using a multi-scale approach/figure_08.txt @@ -0,0 +1 @@ +Normalised Theil index per indicator at the region (blue line, square markers) and sector (purple line, diamond markers) scales. 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+Online survey question: How is the relationship of your city with its water systems?. diff --git a/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_05.jpg b/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b793fbc82ef348fa39752cf08b21231d0834d1db --- /dev/null +++ b/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f3bf1b8cbdbb0687a671d2f78d0bba5b5edfa186100fc34f9619e4fefe15ac7d +size 32983 diff --git a/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_05.txt b/Figures/Marino et al. - 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potential for climate change adaptation in three Colombian cities nature/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ac4d356a517f3f0c7ea41ebc961fe5c45890b53c214b8a7d1b3551265e0a8fd +size 21119 diff --git a/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_06.txt b/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..a32999d7dc9a8473cc0709d5ef9fc8d3401c1b63 --- /dev/null +++ b/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_06.txt @@ -0,0 +1 @@ +Survey questions: Knowledge of GI potential to recover ecosystem services. Q14: Did you know about GI strategies for ecosystem service conservation in your city? diff --git a/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_07.jpg b/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5ce1e6093deea68fda5d7a1a9333a01cc6513864 --- /dev/null +++ b/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2cbf2ba5506d0fe8db41ee3edbe0c92e28c5a9f86fd756714d8c9431a1d3e67a +size 17995 diff --git a/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_07.txt b/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..31330f6b6f292471924d030e69e602f16a5587af --- /dev/null +++ b/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_07.txt @@ -0,0 +1 @@ +Inclusion of SUDS into public space design manuals for the selected cities. Q21: Did you know if your city has guidelines for SUDS adoption in public space? diff --git a/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_08.jpg b/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d5c4107ee7ade910604f2f71ed618f6d734ea5a7 --- /dev/null +++ b/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e95e740140cc4895bde7dd61463bfc326ed571b759637460b043c51ececece97 +size 63492 diff --git a/Figures/Marino et al. - 2024 - Assessment of public space potential for climate change adaptation in three Colombian cities nature/figure_08.txt b/Figures/Marino et al. - 2024 - 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in/figure_01.txt" @@ -0,0 +1 @@ +HYDROLAB HL7 multiparameter sonde installation site in the Durrës Bay, Albania. diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_02.jpg" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..b30673efd5fc2e7f849457f6b6177e9e73af169a --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8c41b2d27fa320f46f9cb947b4410a7f2e2c0e2253d6f57a121ac476dc976672 +size 53361 diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_02.txt" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..dcd8c21bbbf206a22ffe8d3910b845c90c345566 --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_02.txt" @@ -0,0 +1 @@ +The boxplot diagrams of descriptive statistical data. diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_03.jpg" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..4eb1a6b5edefecd9dc6980399ca9010d9a43c1e3 --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fd840a17efd209974cf55201e5886839a79981ea7009d08764c7bc9aab47a738 +size 110359 diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_03.txt" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..95a6e3e7609c41be22734048f1ff0e69bf71bfdb --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_03.txt" @@ -0,0 +1 @@ +The variation of water temperature (in °C) measured in Durrës site from December 2022 to November 2023. diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_04.jpg" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..077f92464fa3cb9a379f0a02e8be91f5b00e0c8c --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:52bb68fb4c00c10b54ce949b5fb1c3b2b9ef84d17b2d76225304d9bfe26bb3c4 +size 140283 diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_04.txt" "b/Figures/Marku et al. - 2024 - Application of 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multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_06.jpg" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..9cad0bcfb57038fac5923a282574ef45735cee7f --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:416e63a78ef77dd627ae26c1ed34d609018b749386708e58d79ff8218175b849 +size 96358 diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_06.txt" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..44d7608fd262761f9440cd1e92db1bfa69f015b8 --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_06.txt" @@ -0,0 +1 @@ +Temporal trend of DO (mg/L) measured in the Durrës site during December 2022 to November 2023. diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_07.jpg" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_07.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..e0ff27be9fdf77062fab44fc981aba6d7693885c --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay 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quality in Durr\303\253s Bay in/figure_08.jpg" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_08.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..eee5b04756c6b10ba05f8e8d96813f72a906bb84 --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_08.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ffe6907b941d83ad70413f9534c5e2e2ebaed13017ade4df5495f2f3efbacb3 +size 125976 diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_08.txt" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/figure_08.txt" new file mode 100644 index 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"text": "TDS (g/L) versus EC (mS/cm) TDS ¼ 0.00391 þ 0.6401 EC S R2 R2 (adj)", + "bbox_points": [ + 43.43, + 672.1, + 545.46, + 681.64 + ], + "words": [ + { + "text": "TDS", + "bbox_points": [ + 43.43, + 673.63, + 59.75, + 681.64 + ] + }, + { + "text": "(g/L)", + "bbox_points": [ + 62.14, + 673.63, + 80.84, + 681.64 + ] + }, + { + "text": "versus", + "bbox_points": [ + 83.23, + 673.63, + 105.59, + 681.64 + ] + }, + { + "text": "EC", + "bbox_points": [ + 107.94, + 673.63, + 119.18, + 681.64 + ] + }, + { + "text": "(mS/cm)", + "bbox_points": [ + 121.61, + 673.63, + 153.41, + 681.64 + ] + }, + { + "text": "TDS", + "bbox_points": [ + 214.58, + 673.63, + 230.9, + 681.64 + ] + }, + { + "text": "¼", + "bbox_points": [ + 232.44, + 673.35, + 238.6, + 681.35 + ] + }, + { + "text": "0.00391", + "bbox_points": [ + 246.27, + 673.63, + 274.77, + 681.64 + ] + }, + { + "text": "þ", + "bbox_points": [ + 276.26, + 673.35, + 282.42, + 681.35 + ] + }, + { + "text": "0.6401", + "bbox_points": [ + 284.03, + 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256.14, + 136.88 + ] + }, + { + "text": "12", + "bbox_points": [ + 283.24, + 128.87, + 292.07, + 136.88 + ] + }, + { + "text": "10.3", + "bbox_points": [ + 314.59, + 128.87, + 329.84, + 136.88 + ] + }, + { + "text": "25", + "bbox_points": [ + 347.7, + 128.87, + 356.53, + 136.88 + ] + }, + { + "text": "27", + "bbox_points": [ + 380.86, + 128.87, + 389.69, + 136.88 + ] + }, + { + "text": "29", + "bbox_points": [ + 422.02, + 128.87, + 430.85, + 136.88 + ] + }, + { + "text": "33", + "bbox_points": [ + 453.14, + 128.87, + 461.98, + 136.88 + ] + }, + { + "text": "0.64", + "bbox_points": [ + 496.8, + 128.87, + 512.05, + 136.88 + ] + }, + { + "text": "0.96", + "bbox_points": [ + 540.23, + 128.87, + 555.47, + 136.88 + ] + } + ] + }, + { + "text": "EC (mS/cm) 31,263 5 42 + 4.9 12 16.2 39 42 46 52 0.64 0.96", + "bbox_points": [ + 64.01, + 142.59, + 555.47, + 150.88 + ], + "words": [ + { + "text": "EC", + "bbox_points": [ + 64.01, + 142.87, + 75.25, + 150.88 + ] + }, + { + "text": "(mS/cm)", + 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461.98, + 150.88 + ] + }, + { + "text": "0.64", + "bbox_points": [ + 496.8, + 142.87, + 512.05, + 150.88 + ] + }, + { + "text": "0.96", + "bbox_points": [ + 540.23, + 142.87, + 555.47, + 150.88 + ] + } + ] + }, + { + "text": "Salinity (PSU) 31,263 5 27 + 3.5 13 9.5 25 27 30 34 0.55 0.65", + "bbox_points": [ + 64.01, + 156.59, + 555.47, + 164.89 + ], + "words": [ + { + "text": "Salinity", + "bbox_points": [ + 64.01, + 156.87, + 91.22, + 164.89 + ] + }, + { + "text": "(PSU)", + "bbox_points": [ + 93.55, + 156.87, + 115.1, + 164.89 + ] + }, + { + "text": "31,263", + "bbox_points": [ + 142.7, + 156.87, + 166.78, + 164.89 + ] + }, + { + "text": "5", + "bbox_points": [ + 184.65, + 156.87, + 189.07, + 164.89 + ] + }, + { + "text": "27", + "bbox_points": [ + 222.18, + 156.87, + 231.01, + 164.89 + ] + }, + { + "text": "+", + "bbox_points": [ + 234.14, + 156.59, + 242.14, + 164.59 + ] + }, + { + "text": "3.5", + "bbox_points": [ + 245.31, + 156.87, + 256.14, + 164.89 + ] + }, + { + "text": "13", + "bbox_points": [ + 283.24, + 156.87, + 292.07, + 164.89 + ] + }, + { + "text": "9.5", + "bbox_points": [ + 314.59, + 156.87, + 325.42, + 164.89 + ] + }, + { + "text": "25", + "bbox_points": [ + 347.7, + 156.87, + 356.53, + 164.89 + ] + }, + { + "text": "27", + "bbox_points": [ + 380.86, + 156.87, + 389.7, + 164.89 + ] + }, + { + "text": "30", + "bbox_points": [ + 422.02, + 156.87, + 430.85, + 164.89 + ] + }, + { + "text": "34", + "bbox_points": [ + 453.15, + 156.87, + 461.98, + 164.89 + ] + }, + { + "text": "0.55", + "bbox_points": [ + 496.8, + 156.87, + 512.05, + 164.89 + ] + }, + { + "text": "0.65", + "bbox_points": [ + 540.23, + 156.87, + 555.47, + 164.89 + ] + } + ] + }, + { + "text": "pH 31,262 6 8.8 + 0.08 1 8.5 8.7 8.8 8.8 9.1 0.09 0.17", + "bbox_points": [ + 64.01, + 170.6, + 561.6, + 178.89 + ], + "words": [ + { + "text": "pH", + "bbox_points": [ + 64.01, + 170.88, + 75.58, + 178.89 + ] + }, + { + "text": "31,262", + "bbox_points": [ + 142.7, + 170.88, + 166.78, + 178.89 + ] 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+ 319.01, + 192.89 + ] + }, + { + "text": "26", + "bbox_points": [ + 347.7, + 184.88, + 356.53, + 192.89 + ] + }, + { + "text": "52", + "bbox_points": [ + 380.86, + 184.88, + 389.7, + 192.89 + ] + }, + { + "text": "179", + "bbox_points": [ + 422.02, + 184.88, + 435.27, + 192.89 + ] + }, + { + "text": "2,000", + "bbox_points": [ + 453.15, + 184.88, + 472.81, + 192.89 + ] + }, + { + "text": "2.63", + "bbox_points": [ + 490.68, + 184.88, + 505.93, + 192.89 + ] + }, + { + "text": "6.54", + "bbox_points": [ + 540.23, + 184.88, + 555.48, + 192.89 + ] + } + ] + }, + { + "text": "Water Temp (°C) 31,266 2 18.7 + 4.7 25 10.3 14.1 19 23 29 0.11 1.22", + "bbox_points": [ + 64.01, + 198.6, + 561.6, + 206.9 + ], + "words": [ + { + "text": "Water", + "bbox_points": [ + 64.01, + 198.88, + 85.76, + 206.9 + ] + }, + { + "text": "Temp", + "bbox_points": [ + 88.16, + 198.88, + 108.5, + 206.9 + ] + }, + { + "text": "(°C)", + "bbox_points": [ + 110.84, + 198.88, + 124.81, + 206.9 + ] + }, + { + "text": "31,266", + "bbox_points": [ + 142.7, + 198.88, + 166.78, + 206.9 + ] + }, + { + "text": "2", + "bbox_points": [ + 184.65, + 198.88, + 189.07, + 206.9 + ] + }, + { + "text": "18.7", + "bbox_points": [ + 222.18, + 198.88, + 237.43, + 206.9 + ] + }, + { + "text": "+", + "bbox_points": [ + 240.55, + 198.6, + 248.55, + 206.6 + ] + }, + { + "text": "4.7", + "bbox_points": [ + 251.66, + 198.88, + 262.49, + 206.9 + ] + }, + { + "text": "25", + "bbox_points": [ + 283.24, + 198.88, + 292.07, + 206.9 + ] + }, + { + "text": "10.3", + "bbox_points": [ + 314.59, + 198.88, + 329.84, + 206.9 + ] + }, + { + "text": "14.1", + "bbox_points": [ + 347.7, + 198.88, + 362.95, + 206.9 + ] + }, + { + "text": "19", + "bbox_points": [ + 380.86, + 198.88, + 389.7, + 206.9 + ] + }, + { + "text": "23", + "bbox_points": [ + 422.02, + 198.88, + 430.86, + 206.9 + ] + }, + { + "text": "29", + "bbox_points": [ + 453.15, + 198.88, + 461.98, + 206.9 + ] + }, + { + "text": "0.11", + "bbox_points": [ + 490.68, + 198.88, + 505.93, + 206.9 + ] + }, + { + "text": "1.22", + "bbox_points": [ + 546.35, + 198.88, + 561.6, + 206.9 + ] + } + ] + }, + { + "text": "Depth (m) 31,252 16 3.0 + 0.125 4 2.63 2.95 3.0 3.1 3.6 0.28 055", + "bbox_points": [ + 64.01, + 212.6, + 553.48, + 220.9 + ], + "words": [ + { + "text": "Depth", + "bbox_points": [ + 64.01, + 212.88, + 86.48, + 220.9 + ] + }, + { + "text": "(m)", + "bbox_points": [ + 88.84, + 212.88, + 101.33, + 220.9 + ] + }, + { + "text": "31,252", + "bbox_points": [ + 142.7, + 212.88, + 166.78, + 220.9 + ] + }, + { + "text": "16", + "bbox_points": [ + 184.65, + 212.88, + 193.48, + 220.9 + ] + }, + { + "text": "3.0", + "bbox_points": [ + 222.18, + 212.88, + 233.02, + 220.9 + ] + }, + { + "text": "+", + "bbox_points": [ + 236.13, + 212.6, + 244.13, + 220.6 + ] + }, + { + "text": "0.125", + "bbox_points": [ + 245.71, + 212.88, + 265.37, + 220.9 + ] + }, + { + "text": "4", + "bbox_points": [ + 283.24, + 212.88, + 287.66, + 220.9 + ] + }, + { + "text": "2.63", + "bbox_points": [ + 314.59, + 212.88, + 329.84, + 220.9 + ] + }, + { + "text": "2.95", + "bbox_points": [ + 347.7, + 212.88, + 362.95, + 220.9 + ] + }, + { + "text": "3.0", + "bbox_points": [ + 380.86, + 212.88, + 391.7, + 220.9 + ] + }, + { + "text": "3.1", + "bbox_points": [ + 422.02, + 212.88, + 432.86, + 220.9 + ] + }, + { + "text": "3.6", + "bbox_points": [ + 453.15, + 212.88, + 463.98, + 220.9 + ] + }, + { + "text": "0.28", + "bbox_points": [ + 490.68, + 212.88, + 505.93, + 220.9 + ] + }, + { + "text": "055", + "bbox_points": [ + 540.23, + 212.88, + 553.48, + 220.9 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_02.txt" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..cdbc1333335595cf1534868e137e46d582f2c856 --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_02.txt" @@ -0,0 +1 @@ +Descriptive statistical analysis of the obtained data diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_03.jpg" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..87f3b4cf00a7bd9cb7b14d5f1ad58be53613aa9a --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a8be5d1d90988e9a9d090e2949f08742059dcfee49959949ba9302b0ac18bbf2 +size 44036 diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_03.json" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_03.json" new file mode 100644 index 0000000000000000000000000000000000000000..db90e8601896906dfa2f734ea523ef84800cbd62 --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_03.json" @@ -0,0 +1,758 @@ +{ + "kind": "table", + "label": "table_03", + "number": 3, + "caption": "Accuracy data of trend analysis linear model", + "page": 13, + "table_bbox_points": [ + 40.43, + 85.16, + 548.44, + 231.01 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 242.81, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 9, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Parameters CV% MAPE (%) Linear equation models", + "bbox_points": [ + 43.43, + 99.72, + 509.44, + 105.72 + ], + "words": [ + { + "text": "Parameters", + "bbox_points": [ + 43.43, + 99.72, + 78.98, + 105.72 + ] + }, + { + "text": "CV%", + "bbox_points": [ + 205.06, + 99.72, + 218.48, + 105.72 + ] + }, + { + "text": "MAPE", + "bbox_points": [ + 312.72, + 99.72, + 330.84, + 105.72 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 332.79, + 99.72, + 341.96, + 105.72 + ] + }, + { + "text": "Linear", + "bbox_points": [ + 436.19, + 99.72, + 455.24, + 105.72 + ] + }, + { + "text": "equation", + "bbox_points": [ + 457.22, + 99.72, + 484.83, + 105.72 + ] + }, + { + "text": "models", + "bbox_points": [ + 486.76, + 99.72, + 509.44, + 105.72 + ] + } + ] + }, + { + "text": "DO 10 6.6 DO ¼ 8.72 þ 0.00004t", + "bbox_points": [ + 43.43, + 114.58, + 514.38, + 122.88 + ], + "words": [ + { + "text": "DO", + "bbox_points": [ + 43.43, + 114.86, + 56.75, + 122.88 + ] + }, + { + "text": "10", + "bbox_points": [ + 205.06, + 114.86, + 213.89, + 122.88 + ] + }, + { + "text": "6.6", + "bbox_points": [ + 312.72, + 114.86, + 323.55, + 122.88 + ] + }, + { + "text": "DO", + "bbox_points": [ + 436.19, + 114.86, + 449.51, + 122.88 + ] + }, + { + "text": "¼", + "bbox_points": [ + 451.1, + 114.58, + 457.26, + 122.58 + ] + }, + { + "text": "8.72", + "bbox_points": [ + 458.81, + 114.86, + 474.06, + 122.88 + ] + }, + { + "text": "þ", + "bbox_points": [ + 475.6, + 114.58, + 481.75, + 122.58 + ] + }, + { + "text": "0.00004t", + "bbox_points": [ + 483.31, + 114.86, + 514.38, + 122.88 + ] + } + ] + }, + { + "text": "EC 12 9.2 EC ¼ 44.7 0.000165t", + "bbox_points": [ + 43.43, + 128.59, + 516.61, + 136.88 + ], + "words": [ + { + "text": "EC", + "bbox_points": [ + 43.43, + 128.87, + 54.67, + 136.88 + ] + }, + { + "text": "12", + "bbox_points": [ + 205.06, + 128.87, + 213.89, + 136.88 + ] + }, + { + "text": "9.2", + "bbox_points": [ + 312.72, + 128.87, + 323.55, + 136.88 + ] + }, + { + "text": "EC", + "bbox_points": [ + 436.19, + 128.87, + 447.43, + 136.88 + ] + }, + { + "text": "¼", + "bbox_points": [ + 449.01, + 128.59, + 455.17, + 136.59 + ] + }, + { + "text": "44.7", + "bbox_points": [ + 456.72, + 128.87, + 471.96, + 136.88 + ] + }, + { + "text": "0.000165t", + "bbox_points": [ + 481.26, + 128.87, + 516.61, + 136.88 + ] + } + ] + }, + { + "text": "pH 12 0.7 pH ¼ 8.76 þ 0.000002t", + "bbox_points": [ + 43.43, + 142.59, + 516.95, + 150.88 + ], + "words": [ + { + "text": "pH", + "bbox_points": [ + 43.43, + 142.87, + 55.0, + 150.88 + ] + }, + { + "text": "12", + "bbox_points": [ + 205.06, + 142.87, + 213.89, + 150.88 + ] + }, + { + "text": "0.7", + "bbox_points": [ + 312.72, + 142.87, + 323.55, + 150.88 + ] + }, + { + "text": "pH", + "bbox_points": [ + 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"29.1", + "bbox_points": [ + 472.7, + 156.87, + 487.95, + 164.89 + ] + }, + { + "text": "0.000124t", + "bbox_points": [ + 497.2, + 156.87, + 532.68, + 164.89 + ] + } + ] + }, + { + "text": "Seawater depth 4 3.4 Depth ¼ 3.05 þ 0.000001t", + "bbox_points": [ + 43.43, + 170.6, + 527.92, + 178.89 + ], + "words": [ + { + "text": "Seawater", + "bbox_points": [ + 43.43, + 170.88, + 76.01, + 178.89 + ] + }, + { + "text": "depth", + "bbox_points": [ + 78.41, + 170.88, + 98.88, + 178.89 + ] + }, + { + "text": "4", + "bbox_points": [ + 205.06, + 170.88, + 209.48, + 178.89 + ] + }, + { + "text": "3.4", + "bbox_points": [ + 312.72, + 170.88, + 323.55, + 178.89 + ] + }, + { + "text": "Depth", + "bbox_points": [ + 436.2, + 170.88, + 458.67, + 178.89 + ] + }, + { + "text": "¼", + "bbox_points": [ + 460.23, + 170.6, + 466.39, + 178.59 + ] + }, + { + "text": "3.05", + "bbox_points": [ + 467.94, + 170.88, + 483.19, + 178.89 + ] + }, + { + "text": "þ", + "bbox_points": [ + 484.72, + 170.6, + 490.88, + 178.59 + ] + }, + { + "text": "0.000001t", + "bbox_points": [ + 492.43, + 170.88, + 527.92, + 178.89 + ] + } + ] + }, + { + "text": "TDS 12 9.2 TDS ¼ 26.6 0.000106t", + "bbox_points": [ + 43.43, + 184.6, + 521.8, + 192.89 + ], + "words": [ + { + "text": "TDS", + "bbox_points": [ + 43.43, + 184.88, + 59.75, + 192.89 + ] + }, + { + "text": "12", + "bbox_points": [ + 205.06, + 184.88, + 213.89, + 192.89 + ] + }, + { + "text": "9.2", + "bbox_points": [ + 312.72, + 184.88, + 323.55, + 192.89 + ] + }, + { + "text": "TDS", + "bbox_points": [ + 436.2, + 184.88, + 452.52, + 192.89 + ] + }, + { + "text": "¼", + "bbox_points": [ + 454.11, + 184.6, + 460.27, + 192.6 + ] + }, + { + "text": "26.6", + "bbox_points": [ + 461.82, + 184.88, + 477.07, + 192.89 + ] + }, + { + "text": "0.000106t", + "bbox_points": [ + 486.31, + 184.88, + 521.8, + 192.89 + ] + } + ] + }, + { + "text": "Turbidity 181 754 Linear model not available", + "bbox_points": [ + 43.43, + 198.88, + 533.3, + 206.9 + ], + "words": [ + { + "text": "Turbidity", + "bbox_points": [ + 43.43, + 198.88, + 76.21, + 206.9 + ] + }, + { + "text": "181", + "bbox_points": [ + 205.06, + 198.88, + 218.31, + 206.9 + ] + }, + { + "text": "754", + "bbox_points": [ + 312.72, + 198.88, + 325.97, + 206.9 + ] + }, + { + "text": "Linear", + "bbox_points": [ + 436.2, + 198.88, + 459.92, + 206.9 + ] + }, + { + "text": "model", + "bbox_points": [ + 462.28, + 198.88, + 484.75, + 206.9 + ] + }, + { + "text": "not", + "bbox_points": [ + 487.11, + 198.88, + 499.0, + 206.9 + ] + }, + { + "text": "available", + "bbox_points": [ + 501.39, + 198.88, + 533.3, + 206.9 + ] + } + ] + }, + { + "text": "Water temperature 25 14 Water Temp ¼ 12.5 þ 0.00039t", + "bbox_points": [ + 43.43, + 212.6, + 545.56, + 220.9 + ], + "words": [ + { + "text": "Water", + "bbox_points": [ + 43.43, + 212.88, + 65.24, + 220.9 + ] + }, + { + "text": "temperature", + "bbox_points": [ + 67.64, + 212.88, + 110.81, + 220.9 + ] + }, + { + "text": "25", + "bbox_points": [ + 205.06, + 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in/table_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..1a96810978ffd1ef1fc53ec478aab72af1c63a6b --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_03.txt" @@ -0,0 +1 @@ +Accuracy data of trend analysis linear model diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_04.jpg" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..3784dc2495713c38ba00b89c50475a1484a7a078 --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:58bd4e2645f37c15c58299d866117684446c13536165c98c2329549501d12729 +size 42664 diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_04.json" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_04.json" new file mode 100644 index 0000000000000000000000000000000000000000..2c87143eb2ff0b994c2b71623bd0ed9d72c026eb --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_04.json" @@ -0,0 +1,616 @@ +{ + "kind": "table", + "label": "table_04", + "number": 4, + "caption": "Pearson correlation analysis of DO (mg/l), TDS (g/l), EC (mS/cm), salinity (PSU), pH, turbidity (NTU), water temp (°C), depth (m)", + "page": 13, + "table_bbox_points": [ + 40.43, 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"bbox_points": [ + 43.43, + 285.62, + 545.48, + 291.62 + ], + "words": [ + { + "text": "Variables", + "bbox_points": [ + 43.43, + 285.62, + 72.28, + 291.62 + ] + }, + { + "text": "DO", + "bbox_points": [ + 124.16, + 285.62, + 133.28, + 291.62 + ] + }, + { + "text": "TDS", + "bbox_points": [ + 195.87, + 285.62, + 207.67, + 291.62 + ] + }, + { + "text": "EC", + "bbox_points": [ + 257.89, + 285.62, + 265.83, + 291.62 + ] + }, + { + "text": "Salinity", + "bbox_points": [ + 319.92, + 285.62, + 343.14, + 291.62 + ] + }, + { + "text": "pH", + "bbox_points": [ + 381.94, + 285.62, + 390.43, + 291.62 + ] + }, + { + "text": "Turbidity", + "bbox_points": [ + 443.9, + 285.62, + 471.68, + 291.62 + ] + }, + { + "text": "Water", + "bbox_points": [ + 507.91, + 285.62, + 526.47, + 291.62 + ] + }, + { + "text": "Temp", + "bbox_points": [ + 528.43, + 285.62, + 545.48, + 291.62 + ] + } + ] + }, + { + "text": "TDS 0.068", + "bbox_points": [ + 43.43, + 300.76, + 143.82, + 308.77 + ], + "words": [ + { + 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Durr\303\253s Bay in/table_04.txt" @@ -0,0 +1 @@ +Pearson correlation analysis of DO (mg/l), TDS (g/l), EC (mS/cm), salinity (PSU), pH, turbidity (NTU), water temp (°C), depth (m) diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_05.jpg" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..42facfbb1b69cecca89e697cd4e976ffb03a36c7 --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8705779442e012dc2a316c7aaa2fe867228ba3151acf0339d57b506146ad2032 +size 49542 diff --git "a/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_05.json" "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_05.json" new file mode 100644 index 0000000000000000000000000000000000000000..6eddae818502dcdc7584ce22e31fdf7e99a61cfa --- /dev/null +++ "b/Figures/Marku et al. - 2024 - Application of a multiparameter sonde for real-time monitoring of seawater quality in Durr\303\253s Bay in/table_05.json" @@ -0,0 +1,753 @@ +{ + "kind": "table", + "label": "table_05", + "number": 5, + "caption": "Sorted rotated factor loadings and communalities (Varimax rotation)", + "page": 14, + "table_bbox_points": [ + 61.01, + 85.16, + 569.02, + 259.02 + ], + "caption_bbox_points": [ + 64.01, + 76.93, + 348.3, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + 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+Research methodology flowchart. diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_03.jpg b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..856fe1d2a9982968ea8bf05d2547adc2d30e81d1 --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3de0038b763f44342099ae4259b397bae8fb75a7bdaf4fd200055795be1ea554 +size 33928 diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_03.txt b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6264bbaae0f58e4b214a196c2b1e6017ff4197c --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_03.txt @@ -0,0 +1 @@ +Diagram illustrating issues within the Deli watershed. diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_04.jpg b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e1d2ce147ed1f6c422ff90199824ce76e39ca265 --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:05cc08b22e4139a1f5942d190ffae8352b493d3d10bc4ccc79f33c9b56a5c720 +size 46040 diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_04.txt b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..688aa2c6f2826f83fdf51e79ddc82689a31615f7 --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_04.txt @@ -0,0 +1 @@ +Causal loop diagram. diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_05.jpg b/Figures/Marselina et al. - 2024 - 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al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_05.txt @@ -0,0 +1 @@ +Average rainfall within the Deli watershed. diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_06.jpg b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..900aec29e46c542eef32293a75ea104dd4ee366a --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:73cc6e36d9401c2e8592efad3844da3f7b7dfaa2e35d60b6f8e45583fd7d2971 +size 80709 diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_06.txt b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..1547abb71b9e929ad4a5d3aeb07ced9b21bd4f55 --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_06.txt @@ -0,0 +1 @@ +System dynamics simulation result. diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_07.jpg b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e6df84dfc30162d770df6a7b967c2dcddb792604 --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4bd18467ddd54a4931ff3c9f06d3407099f4b38d142fd6ace0156b230ce43b15 +size 55431 diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_07.txt b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..687d5a4d8568522c570147d50deae97fc693dfdf --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_07.txt @@ -0,0 +1 @@ +Some examples of the results of model parameter testing: (a) population and water (b) per capita water demand and water tariff. diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_08.jpg b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d4ae5d9c174526f88535ed1833c86e22f6c7d920 --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f72e782e4861f5cf61e2175f3b4a20a5d345516a18e69ab4236970aabc6dd82f +size 35941 diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_08.txt b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..8944378050f0b7cc33ca51b5265832277e521790 --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_08.txt @@ -0,0 +1 @@ +Some examples of the results of error in integration testing: (a) water demand per capita; (b) total water demand. diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_09.jpg b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0c7712293ba3ebdba6c96d5e4f7c917b0309a2a8 --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fe755128126f643a54c491aff2b613a59ac9a0f9f3e6fd91f5fee9ee86604d6c +size 87715 diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_09.txt b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..e5adc0bf4abb07c9f4367a8e39cd6e798ff89c8e --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_09.txt @@ -0,0 +1 @@ +The simulation results for each scenario across several main variables: (a) total water demand, (b) water availability, and (c) water utilization. diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_10.jpg b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e2efa5b76543100f9184d96e3b317937012f01a7 --- /dev/null +++ b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a8ae3a90309f0244ff7d9a34afeb52b8e1f7b4f01052326df08467ed20f97bfb +size 36380 diff --git a/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a comprehensive analysis/figure_10.txt b/Figures/Marselina et al. - 2024 - Understanding and mitigating water resource decline in the Deli watershed a 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428.74 + ] + }, + { + "text": "coli", + "bbox_points": [ + 459.04, + 420.72, + 472.27, + 428.74 + ] + } + ] + }, + { + "text": "Parameter Delphi method Literature Delphi method", + "bbox_points": [ + 64.01, + 434.72, + 486.57, + 442.74 + ], + "words": [ + { + "text": "Parameter", + "bbox_points": [ + 64.01, + 434.72, + 100.87, + 442.74 + ] + }, + { + "text": "Delphi", + "bbox_points": [ + 140.43, + 434.72, + 164.98, + 442.74 + ] + }, + { + "text": "method", + "bbox_points": [ + 167.36, + 434.72, + 194.83, + 442.74 + ] + }, + { + "text": "Literature", + "bbox_points": [ + 298.49, + 434.72, + 333.78, + 442.74 + ] + }, + { + "text": "Delphi", + "bbox_points": [ + 432.17, + 434.72, + 456.72, + 442.74 + ] + }, + { + "text": "method", + "bbox_points": [ + 459.1, + 434.72, + 486.57, + 442.74 + ] + } + ] + }, + { + "text": "selection", + "bbox_points": [ + 72.0, + 445.27, + 103.88, + 453.28 + ], + "words": [ + { + "text": "selection", + "bbox_points": [ + 72.0, + 445.27, + 103.88, + 453.28 + ] + } + ] + }, + { + "text": "method", + "bbox_points": [ + 72.0, + 455.76, + 99.47, + 463.77 + ], + "words": [ + { + "text": "method", + "bbox_points": [ + 72.0, + 455.76, + 99.47, + 463.77 + ] + } + ] + }, + { + "text": "Transformation Based on the subindex curve compiled There is a subindex equation for There is a subindex equation for", + "bbox_points": [ + 64.01, + 469.76, + 547.96, + 477.78 + ], + "words": [ + { + "text": "Transformation", + "bbox_points": [ + 64.01, + 469.76, + 119.45, + 477.78 + ] + }, + { + "text": "Based", + "bbox_points": [ + 140.43, + 469.76, + 162.07, + 477.78 + ] + }, + { + "text": "on", + "bbox_points": [ + 164.47, + 469.76, + 173.79, + 477.78 + ] + }, + { + "text": "the", + "bbox_points": [ + 176.15, + 469.76, + 187.47, + 477.78 + ] + }, + { + "text": "subindex", + "bbox_points": [ + 189.87, + 469.76, + 221.75, + 477.78 + ] + }, + { + "text": "curve", + "bbox_points": [ + 224.17, + 469.76, + 243.87, + 477.78 + ] + }, + { + "text": "compiled", + "bbox_points": [ + 246.22, + 469.76, + 279.6, + 477.78 + ] + }, + { + "text": "There", + "bbox_points": [ + 298.49, + 469.76, + 319.16, + 477.78 + ] + }, + { + "text": "is", + "bbox_points": [ + 321.56, + 469.76, + 327.22, + 477.78 + ] + }, + { + "text": "a", + "bbox_points": [ + 329.61, + 469.76, + 333.77, + 477.78 + ] + }, + { + "text": "subindex", + "bbox_points": [ + 336.13, + 469.76, + 368.07, + 477.78 + ] + }, + { + "text": "equation", + "bbox_points": [ + 370.43, + 469.76, + 401.61, + 477.78 + ] + }, + { + "text": "for", + "bbox_points": [ + 403.99, + 469.76, + 414.23, + 477.78 + ] + }, + { + "text": "There", + "bbox_points": [ + 432.17, + 469.76, + 452.89, + 477.78 + ] + }, + { + "text": "is", + "bbox_points": [ + 455.24, + 469.76, + 460.9, + 477.78 + ] + }, + { + "text": "a", + "bbox_points": [ + 463.29, + 469.76, + 467.45, + 477.78 + ] + }, + { + "text": "subindex", + "bbox_points": [ + 469.87, + 469.76, + 501.75, + 477.78 + ] + }, + { + "text": "equation", + "bbox_points": [ 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488.26 + ] + }, + { + "text": "each", + "bbox_points": [ + 440.16, + 480.25, + 456.9, + 488.26 + ] + }, + { + "text": "parameter", + "bbox_points": [ + 459.27, + 480.25, + 495.9, + 488.26 + ] + } + ] + }, + { + "text": "Standardization Rating curve: expert opinion Linear and parabolic functions Linear and nonlinear functions", + "bbox_points": [ + 64.01, + 494.25, + 544.37, + 502.27 + ], + "words": [ + { + "text": "Standardization", + "bbox_points": [ + 64.01, + 494.25, + 121.15, + 502.27 + ] + }, + { + "text": "Rating", + "bbox_points": [ + 140.43, + 494.25, + 163.66, + 502.27 + ] + }, + { + "text": "curve:", + "bbox_points": [ + 166.0, + 494.25, + 188.03, + 502.27 + ] + }, + { + "text": "expert", + "bbox_points": [ + 190.43, + 494.25, + 212.7, + 502.27 + ] + }, + { + "text": "opinion", + "bbox_points": [ + 215.09, + 494.25, + 242.97, + 502.27 + ] + }, + { + "text": "Linear", + "bbox_points": [ + 298.49, + 494.25, + 322.21, + 502.27 + ] + }, + { + "text": "and", + "bbox_points": [ + 324.4, + 494.25, + 337.88, + 502.27 + ] + }, + { + "text": "parabolic", + "bbox_points": [ + 340.21, + 494.25, + 373.76, + 502.27 + ] + }, + { + "text": "functions", + "bbox_points": [ + 376.1, + 494.25, + 409.47, + 502.27 + ] + }, + { + "text": "Linear", + "bbox_points": [ + 432.17, + 494.25, + 455.89, + 502.27 + ] + }, + { + "text": "and", + "bbox_points": [ + 458.08, + 494.25, + 471.56, + 502.27 + ] + }, + { + "text": "nonlinear", + "bbox_points": [ + 473.95, + 494.25, + 508.65, + 502.27 + ] + }, + { + "text": "functions", + "bbox_points": [ + 511.09, + 494.25, + 544.37, + 502.27 + ] + } + ] + }, + { + "text": "Weighting Questionnaire survey from experts None Delphi method", + "bbox_points": [ + 64.01, + 508.25, + 486.57, + 516.27 + ], + "words": [ + { + "text": "Weighting", + "bbox_points": [ + 64.01, + 508.25, + 100.78, + 516.27 + ] + }, + { + "text": "Questionnaire", + "bbox_points": [ + 140.43, + 508.25, + 191.14, + 516.27 + ] + }, + { + "text": "survey", + "bbox_points": [ + 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+ 298.49, + 522.26, + 337.1, + 530.27 + ] + }, + { + "text": "mean", + "bbox_points": [ + 339.48, + 522.26, + 359.38, + 530.27 + ] + }, + { + "text": "Multiplicative", + "bbox_points": [ + 432.17, + 522.26, + 481.75, + 530.27 + ] + }, + { + "text": "aggregation", + "bbox_points": [ + 484.16, + 522.26, + 525.48, + 530.27 + ] + }, + { + "text": "function", + "bbox_points": [ + 527.87, + 522.26, + 557.91, + 530.27 + ] + } + ] + }, + { + "text": "Scale River Regional or national surface water Not specified", + "bbox_points": [ + 64.01, + 535.98, + 479.92, + 544.28 + ], + "words": [ + { + "text": "Scale", + "bbox_points": [ + 64.01, + 536.26, + 83.24, + 544.28 + ] + }, + { + "text": "River", + "bbox_points": [ + 140.43, + 536.26, + 159.49, + 544.28 + ] + }, + { + "text": "Regional", + "bbox_points": [ + 298.49, + 536.26, + 330.01, + 544.28 + ] + }, + { + "text": "or", + "bbox_points": [ + 332.33, + 536.26, + 340.07, + 544.28 + ] + }, + { + "text": "national", + "bbox_points": [ + 342.48, + 536.26, + 371.92, + 544.28 + ] + }, + { + "text": "surface", + "bbox_points": [ + 374.29, + 536.26, + 399.8, + 544.28 + ] + }, + { + "text": "water", + "bbox_points": [ + 402.01, + 536.26, + 421.89, + 544.28 + ] + }, + { + "text": "Not", + "bbox_points": [ + 432.17, + 536.26, + 446.07, + 544.28 + ] + }, + { + "text": "specified", + "bbox_points": [ + 448.44, + 535.98, + 479.92, + 544.28 + ] + } + ] + }, + { + "text": "Institution/ National Sanitation Foundation, United English American Water Resources", + "bbox_points": [ + 64.01, + 550.26, + 530.18, + 558.28 + ], + "words": [ + { + "text": "Institution/", + "bbox_points": [ + 64.01, + 550.26, + 104.92, + 558.28 + ] + }, + { + "text": "National", + "bbox_points": [ + 140.43, + 550.26, + 171.86, + 558.28 + ] + }, + { + "text": "Sanitation", + "bbox_points": [ + 174.22, + 550.26, + 211.01, + 558.28 + ] + }, + { + "text": "Foundation,", + "bbox_points": [ + 213.34, + 550.26, + 256.6, + 558.28 + ] + }, + { + "text": "United", + "bbox_points": [ + 258.97, + 550.26, + 283.52, + 558.28 + ] + }, + { + "text": "English", + "bbox_points": [ + 298.49, + 550.26, + 325.46, + 558.28 + ] + }, + { + "text": "American", + "bbox_points": [ + 432.17, + 550.26, + 467.56, + 558.28 + ] + }, + { + "text": "Water", + "bbox_points": [ + 469.87, + 550.26, + 491.63, + 558.28 + ] + }, + { + "text": "Resources", + "bbox_points": [ + 494.02, + 550.26, + 530.18, + 558.28 + ] + } + ] + }, + { + "text": "country of States Association, United States", + "bbox_points": [ + 72.0, + 560.75, + 534.37, + 568.77 + ], + "words": [ + { + "text": "country", + "bbox_points": [ + 72.0, + 560.75, + 99.63, + 568.77 + ] + }, + { + "text": "of", + "bbox_points": [ + 101.82, + 560.75, + 108.89, + 568.77 + ] + }, + { + "text": "States", + "bbox_points": [ + 148.42, + 560.75, + 169.66, + 568.77 + ] + }, + { + "text": "Association,", + "bbox_points": [ + 440.16, + 560.75, + 483.88, + 568.77 + ] + }, + { + "text": "United", + "bbox_points": [ + 486.25, + 560.75, + 510.81, + 568.77 + ] + }, + { + "text": "States", + "bbox_points": [ + 513.18, + 560.75, + 534.37, + 568.77 + ] + } + ] + }, + { + "text": "origin", + "bbox_points": [ + 72.0, + 571.24, + 93.14, + 579.25 + ], + "words": [ + { + "text": "origin", + "bbox_points": [ + 72.0, + 571.24, + 93.14, + 579.25 + ] + } + ] + }, + { + "text": "Aggregation P n 1 X n Q n", + "bbox_points": [ + 64.01, + 584.22, + 440.52, + 594.62 + ], + "words": [ + { + "text": "Aggregation", + "bbox_points": [ + 64.01, + 585.24, + 107.14, + 593.26 + ] + }, + { + "text": "P", + "bbox_points": [ + 140.83, + 584.22, + 149.24, + 592.22 + ] + }, + { + "text": "n", + "bbox_points": [ + 143.38, + 584.68, + 146.7, + 590.28 + ] + }, + { + "text": "1", + "bbox_points": [ + 298.66, + 586.6, + 303.07, + 594.62 + ] + }, + { + "text": "X", + "bbox_points": [ + 304.55, + 584.23, + 316.05, + 592.23 + ] + }, + { + "text": "n", + "bbox_points": [ + 308.64, + 584.68, + 311.96, + 590.28 + ] + }, + { + "text": "Q", + "bbox_points": [ + 433.02, + 584.23, + 440.52, + 592.23 + ] + }, + { + "text": "n", + "bbox_points": [ + 435.06, + 584.68, + 438.38, + 590.28 + ] + } + ] + }, + { + "text": "Qi Wi Ii Iiwi", + "bbox_points": [ + 150.92, + 590.36, + 456.08, + 600.66 + ], + "words": [ + { + "text": "Qi", + "bbox_points": [ + 150.92, + 590.36, + 159.07, + 599.13 + ] + }, + { + "text": "Wi", + "bbox_points": [ + 169.23, + 590.36, + 179.14, + 599.13 + ] + }, + { + "text": "Ii", + "bbox_points": [ + 317.31, + 591.95, + 322.23, + 600.66 + ] + }, + { + "text": "Iiwi", + "bbox_points": [ + 442.66, + 590.36, + 456.08, + 599.13 + ] + } + ] + }, + { + "text": "equation", + "bbox_points": [ + 72.0, + 595.73, + 103.18, + 603.74 + ], + "words": [ + { + "text": "equation", + "bbox_points": [ + 72.0, + 595.73, + 103.18, + 603.74 + ] + } + ] + }, + { + "text": "i¼1 n", + "bbox_points": [ + 140.43, + 597.44, + 303.23, + 605.44 + ], + "words": [ + { + "text": "i¼1", + "bbox_points": [ + 140.43, + 599.47, + 149.58, + 605.28 + ] + }, + { + "text": "n", + "bbox_points": [ + 298.49, + 597.44, + 303.23, + 605.44 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 308.75, + 602.73, + 311.84, + 608.34 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 308.75, + 602.73, + 311.84, + 608.34 + ] + } + ] + }, + { + "text": "i¼1", + "bbox_points": [ + 432.17, + 599.47, + 441.33, + 605.28 + ], + "words": [ + { + "text": "i¼1", + "bbox_points": [ + 432.17, + 599.47, + 441.33, + 605.28 + ] + } + ] + }, + { + "text": "where Qi = subindex for the ith water", + "bbox_points": [ + 148.42, + 607.08, + 282.71, + 615.87 + ], + "words": [ + { + "text": "where", + "bbox_points": [ + 148.42, + 607.18, + 170.45, + 615.2 + ] + }, + { + "text": "Qi", + "bbox_points": [ + 172.86, + 607.08, + 181.13, + 615.87 + ] + }, + { + "text": "=", + "bbox_points": [ + 182.72, + 607.18, + 188.47, + 615.2 + ] + }, + { + "text": "subindex", + "bbox_points": [ + 190.03, + 607.18, + 221.92, + 615.2 + ] + }, + { + "text": "for", + "bbox_points": [ + 224.33, + 607.18, + 234.57, + 615.2 + ] + }, + { + "text": "the", + "bbox_points": [ + 236.92, + 607.18, + 248.24, + 615.2 + ] + }, + { + "text": "ith", + "bbox_points": [ + 250.64, + 607.08, + 260.45, + 615.2 + ] + }, + { + "text": "water", + "bbox_points": [ + 262.83, + 607.18, + 282.71, + 615.2 + ] + } + ] + }, + { + "text": "where n = number of", + "bbox_points": [ + 306.48, + 610.09, + 381.64, + 618.2 + ], + "words": [ + { + "text": "where", + "bbox_points": [ + 306.48, + 610.19, + 328.51, + 618.2 + ] + }, + { + "text": "n", + "bbox_points": [ + 330.86, + 610.09, + 335.6, + 618.09 + ] + }, + { + "text": "=", + "bbox_points": [ + 337.21, + 610.19, + 342.95, + 618.2 + ] + }, + { + "text": "number", + "bbox_points": [ + 344.52, + 610.19, + 372.42, + 618.2 + ] + }, + { + "text": "of", + "bbox_points": [ + 374.57, + 610.19, + 381.64, + 618.2 + ] + } + ] + }, + { + "text": "where Ii = subindex of pollutant", + "bbox_points": [ + 440.16, + 607.08, + 554.7, + 615.87 + 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676.26 + ] + }, + { + "text": "used", + "bbox_points": [ + 492.77, + 668.24, + 509.25, + 676.26 + ] + } + ] + }, + { + "text": "assessment studies used NSF-WQI", + "bbox_points": [ + 148.08, + 678.73, + 272.39, + 686.74 + ], + "words": [ + { + "text": "assessment", + "bbox_points": [ + 148.08, + 678.73, + 187.77, + 686.74 + ] + }, + { + "text": "studies", + "bbox_points": [ + 190.2, + 678.73, + 214.71, + 686.74 + ] + }, + { + "text": "used", + "bbox_points": [ + 217.08, + 678.73, + 233.56, + 686.74 + ] + }, + { + "text": "NSF-WQI", + "bbox_points": [ + 235.96, + 678.73, + 272.39, + 686.74 + ] + } + ] + }, + { + "text": "(Gitau et al. 2016)", + "bbox_points": [ + 148.08, + 689.17, + 213.92, + 697.29 + ], + "words": [ + { + "text": "(Gitau", + "bbox_points": [ + 148.08, + 689.27, + 171.19, + 697.29 + ] + }, + { + "text": "et", + "bbox_points": [ + 173.59, + 689.17, + 179.91, + 697.17 + ] + }, + { + "text": "al.", + "bbox_points": [ + 182.27, + 689.17, + 191.18, + 697.17 + ] + }, + { + "text": "2016)", + "bbox_points": [ + 193.55, + 689.27, + 213.92, + 697.29 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Marselina et al. - 2025 - Comparative analysis of water quality index based on seasonal differences in the upstream Citarum wa/table_09.txt b/Figures/Marselina et al. - 2025 - Comparative analysis of water quality index based on seasonal differences in the upstream Citarum wa/table_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..25b0b0edb9e92e915fb804babd9deef3b05b5fd4 --- /dev/null +++ b/Figures/Marselina et al. - 2025 - Comparative analysis of water quality index based on seasonal differences in the upstream Citarum wa/table_09.txt @@ -0,0 +1 @@ +Difference between NSF-WQI, Prati index, and Dinius index methods diff --git "a/Figures/Mar\303\255n-Pe\303\261a et al. - 2024 - Evaluation of a pilot-scale anaerobic biofilm reactor for the treatment of slaughterhouse effluents/figure_01.jpg" 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treatment of slaughterhouse effluents/table_01.txt" @@ -0,0 +1 @@ +Flow rate and OLR information in different phases diff --git "a/Figures/Mar\303\255n-Pe\303\261a et al. - 2024 - Evaluation of a pilot-scale anaerobic biofilm reactor for the treatment of slaughterhouse effluents/table_02.jpg" "b/Figures/Mar\303\255n-Pe\303\261a et al. - 2024 - Evaluation of a pilot-scale anaerobic biofilm reactor for the treatment of slaughterhouse effluents/table_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..b9a4d32307c0a10b7b2d800a6132a436e901c24d --- /dev/null +++ "b/Figures/Mar\303\255n-Pe\303\261a et al. - 2024 - Evaluation of a pilot-scale anaerobic biofilm reactor for the treatment of slaughterhouse effluents/table_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ab461e110e2e57aed8a928470705bf0062620b888d5d6b2565c036487c5f8045 +size 22970 diff --git "a/Figures/Mar\303\255n-Pe\303\261a et al. - 2024 - Evaluation of a pilot-scale 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(a) Four-quadrant inoculation of filtered sediments in an NNA plate lawned with live Escherichia coli (Lake Taal-San Nicholas); (b) Acanthamoeba spp. cysts (Lake Taal-San Nicholas); (c) Acanthamoeba spp. cysts (Pulangi River); (d) Acanthamoeba spp. trophozoites with extended acanthopodia (Lake Sebu); 400 magnification; Scale bars at 10 μm. 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"4/6", + "bbox_points": [ + 472.76, + 247.0, + 485.17, + 255.0 + ] + } + ] + }, + { + "text": "Total new positive study sites 4", + "bbox_points": [ + 64.01, + 261.01, + 477.18, + 269.01 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 261.01, + 82.97, + 269.01 + ] + }, + { + "text": "new", + "bbox_points": [ + 85.32, + 261.01, + 100.67, + 269.01 + ] + }, + { + "text": "positive", + "bbox_points": [ + 103.01, + 261.01, + 131.61, + 269.01 + ] + }, + { + "text": "study", + "bbox_points": [ + 134.02, + 261.01, + 153.9, + 269.01 + ] + }, + { + "text": "sites", + "bbox_points": [ + 156.08, + 261.01, + 172.31, + 269.01 + ] + }, + { + "text": "4", + "bbox_points": [ + 472.76, + 261.01, + 477.18, + 269.01 + ] + } + ] + }, + { + "text": "N total; n subtotal; Vol (mL) volume of water sample processed; NT not tested; PCR þ polymerase chain reaction positive but sequencing was not performed; negative; þ", + "bbox_points": [ + 64.01, + 277.97, + 564.35, + 285.21 + ], + "words": [ + { + "text": "N", + "bbox_points": [ + 64.01, + 277.97, + 68.19, + 283.97 + ] + }, + { + "text": "total;", + "bbox_points": [ + 72.57, + 279.21, + 86.35, + 285.21 + ] + }, + { + "text": "n", + "bbox_points": [ + 89.06, + 277.97, + 92.5, + 283.97 + ] + }, + { + "text": "subtotal;", + "bbox_points": [ + 96.89, + 279.21, + 120.41, + 285.21 + ] + }, + { + "text": "Vol", + "bbox_points": [ + 123.14, + 279.21, + 131.63, + 285.21 + ] + }, + { + "text": "(mL)", + "bbox_points": [ + 134.3, + 279.21, + 145.73, + 285.21 + ] + }, + { + "text": "volume", + "bbox_points": [ + 150.06, + 279.21, + 169.98, + 285.21 + ] + }, + { + "text": "of", + "bbox_points": [ + 172.68, + 279.21, + 177.99, + 285.21 + ] + }, + { + "text": "water", + "bbox_points": [ + 180.68, + 279.21, + 196.17, + 285.21 + ] + }, + { + "text": "sample", + "bbox_points": [ + 198.93, + 279.21, + 218.48, + 285.21 + ] + }, + { + "text": "processed;", + "bbox_points": [ + 221.21, + 279.21, + 250.65, + 285.21 + ] + }, + { + "text": "NT", + "bbox_points": [ + 253.41, + 279.21, + 260.65, + 285.21 + ] + }, + { + "text": "not", + "bbox_points": [ + 264.86, + 279.21, + 273.79, + 285.21 + ] + }, + { + "text": "tested;", + "bbox_points": [ + 276.54, + 279.21, + 295.21, + 285.21 + ] + }, + { + "text": "PCR", + "bbox_points": [ + 297.86, + 279.21, + 308.72, + 285.21 + ] + }, + { + "text": "þ", + "bbox_points": [ + 311.47, + 279.17, + 316.09, + 285.17 + ] + }, + { + "text": "polymerase", + "bbox_points": [ + 320.43, + 279.21, + 351.91, + 285.21 + ] + }, + { + "text": "chain", + "bbox_points": [ + 354.61, + 279.21, + 369.16, + 285.21 + ] + }, + { + "text": "reaction", + "bbox_points": [ + 371.85, + 279.21, + 393.82, + 285.21 + ] + }, + { + "text": "positive", + "bbox_points": [ + 396.56, + 279.21, + 417.54, + 285.21 + ] + }, + { + "text": "but", + "bbox_points": [ + 420.21, + 279.21, + 429.13, + 285.21 + ] + }, + { + "text": "sequencing", + "bbox_points": [ + 431.88, + 279.21, + 462.79, + 285.21 + ] + }, + { + "text": "was", + "bbox_points": [ + 465.56, + 279.21, + 476.49, + 285.21 + ] + }, + { + "text": "not", + "bbox_points": [ + 479.11, + 279.21, + 488.03, + 285.21 + ] + }, + { + "text": "performed;", + "bbox_points": [ + 490.79, + 279.21, + 520.88, + 285.21 + ] + }, + { + "text": "negative;", + "bbox_points": [ + 532.57, + 279.21, + 557.01, + 285.21 + ] + }, + { + "text": "þ", + "bbox_points": [ + 559.73, + 279.17, + 564.35, + 285.17 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Masangkay et al. - 2024 - First report on the long-term viability of Acanthamoeba species in unpreserved environmental/table_01_part_2.txt b/Figures/Masangkay et al. - 2024 - First report on the long-term viability of Acanthamoeba species in unpreserved environmental/table_01_part_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..70ebde268372f185331d1cce06fd85c671e96946 --- /dev/null +++ b/Figures/Masangkay et al. - 2024 - First report on the long-term viability of Acanthamoeba species in unpreserved environmental/table_01_part_2.txt @@ -0,0 +1 @@ +Continued diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_01.jpg b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..287508f06293a4385965fc3e803564499139f8b7 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2a6717df04138297535b74cfb6d265f1e6356219f08ecd808d4a182c797fb7f6 +size 159083 diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_01.txt b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..40dba91178684a43ad6366a81d4a3d3ed43d07fa --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_01.txt @@ -0,0 +1 @@ +(a) Farahzad River location in Tehran, (b) culverts location in study area, and (c) Farahzad watershed DEM. diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_02.jpg b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d51e137f0093380ffc2531553bb6d84527afce26 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dc436e7d13f3d3aac56367d797c2d98cd4fbb4cb97b1feb4ce0a23719b86d16d +size 135333 diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_02.txt b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..381d68f908a2a2d7190bbd7f45a71dfd2f04b9da --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_02.txt @@ -0,0 +1 @@ +Debris flow site: (a) areas prone to marginal trees overturning, (b) bedrock boulders, and (c) sediments of the riverbed at the time of flooding in the area of rock mines. diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_03.jpg b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4a30f0208d8ab016ec0970a81d250018b20e5c67 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f0307b295973a52c347ef66f341bb539477cf4bcc7ed4d20c99b0fbd4ba3d156 +size 119329 diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_03.txt b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..c10a0a70b22d9d41d2137b26e72f1f8e0e6546f9 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_03.txt @@ -0,0 +1 @@ +Bank erosion along the river. diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_04.jpg b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..82c51b720a264486528e71f78b15ada1afee5b35 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:08b0c3e59dfb4ee68d737cf9feec97b9c5b041b7c718e3342b66b656f1cf9649 +size 138144 diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_04.txt b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..86d639f5a81f6ecaec1c2d567c19506872359ef0 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_04.txt @@ -0,0 +1 @@ +Flowchart of the proposed methodology. diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_05.jpg b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e8e2f7027b1e2342c29a7fe2bcc87762827b7018 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:90e4e741d3dc058977965a3b5695197b9c8f9a5e9aa81ad8b24206343ce05698 +size 42109 diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_05.txt b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..51d3b3778e5f59398cfd37b97d336c06d324f9be --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_05.txt @@ -0,0 +1 @@ +Sensitivity analysis of flow parameters for manning coefficient. diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_06.jpg b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1c54ca37a5053b4ec6c6b9cc41594f4f4b38445e --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f8ac043ef31db99a154f711ac477cdf6407a35801b10260fefb63f72bda0626d +size 137904 diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_06.txt b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..f339bd57c74d51c821cb03b2b8a134a29ac8e28a --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_06.txt @@ -0,0 +1 @@ +Selected stations to investigate tree species in the Farahzad stream corridor. Google map modified by the authors. diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_07.jpg b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7baf6c6ad128b6d318b6df214c2c96079ba0964e --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2f068cb52722fad20f732016792d79112c543042d3b37c939d66fc73a98543b6 +size 43002 diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_07.txt b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc7f7a7bcdf019e0ef65582fb8498e4991656bcd --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_07.txt @@ -0,0 +1 @@ +The number of tree species found in five stations with respect to the station distance from the stream bed. diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_08.jpg b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7a8a6151501a46885d854ff1b948824f43a7def4 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:12d3080d387dd88978ba81ee66785def6755920461691078a066f1d857e9ee57 +size 40579 diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_08.txt b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac73d0fc126f801c31c86d02ad7aed6b355e86ce --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_08.txt @@ -0,0 +1 @@ +The average width of each growing form plant at each station. diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_09.jpg b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7f3f79dca9c212c47516dba61761d2eb1e0ceea8 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:93f9dcf871c9b5f7e5d761764511651e631cdc2bd4edab8823a77885d01bc55a +size 57766 diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_09.txt b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..881a8bc57d2fd5bfb37be603e6b0f04dce0c8826 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_09.txt @@ -0,0 +1 @@ +Froude number along the river. diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_10.jpg b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1e97d6b184e0b41d3ad4ed433e60742d3ec21b54 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c468a0ddd1af749cf555ced255fe6f8e13b2a0bee3ad7e12899b61d86db5aa8e +size 39100 diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_10.txt b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..10593d84daf304b62894c19a6ddb4400ef2e68d7 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_10.txt @@ -0,0 +1 @@ +Comparison between base peak flow, climate change peak flow, and debris under climate change peak flow with return period. diff --git a/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_11.jpg b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_11.jpg new file mode 100644 index 0000000000000000000000000000000000000000..45f8998cbc358e87e2444c3d82817f34b02c5225 --- /dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/figure_11.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3403321cba100e2ddf0fdadb2a0e9b3abe093022ad0eff47f756c17ffe2d353f +size 64312 diff --git a/Figures/Masoumi et al. - 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/dev/null +++ b/Figures/Masoumi et al. - 2024 - Estimating peak flow of Farahzad River in Tehran under climate change and debris flow scenarios A n/table_04.txt @@ -0,0 +1 @@ +The dominant species of trees and the dimensional coefficients (Tabacchi et al. 2011) diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_01.jpg b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..eed32c4214dec33bc0ca8592560ce3c8ea02261b --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e2618f168171ded1b71f9b4919399ea2b1e5daee7a04236151877145616e0571 +size 21806 diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_01.txt b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..d61a0c31b97734019b45b52e2a613261bf15b062 --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_01.txt @@ -0,0 +1 @@ +Progression graph of the current values derived from the voltage measured across the fixed resistors in the SMFC, which cor- responds to different resistance values (red line: 10 Ω; orange line: 100 Ω; green line: 470 Ω; blue line: 2,200 Ω; purple line: 10,000 Ω; black line: 1,000,000 Ω). The current value of the SMFC with a resistance of 1,000,000 Ω is too small to be observed. diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_02.jpg b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e596da6de06b68b96d829741482ac2d090518b20 --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:df2dc458acaefe8c7d53da5490ac848efeb03452be95eb1aba92f253f8eb7a1f +size 22135 diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_02.txt b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..54c2adce1715382c2776e8bcfaf61a8e95aef691 --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_02.txt @@ -0,0 +1 @@ +(a) Graph depicting the correlation between NH4 diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_03.jpg b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3a01c9f2a9c23cc4dde3aa838ee74d49a74ba919 --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3e3ea188e05d9def8ed93688ec2ef4b2c568f07bc88ff2c4f566726692acaa2c +size 12523 diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_03.txt b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..43ac55ae7d99a2916b9995d18c1b52ba5a20b041 --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_03.txt @@ -0,0 +1 @@ +Graph depicting the correlation between PO4 diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_04.jpg b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5bfb135eefcfc049cd28b8386248414a29278eaa --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fbafc4c9abc925ab78003da26c3c6a8c00f0e69bc2c8677590921dbef0df953f +size 24672 diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_04.txt b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d3c90bcf4eb3571f35a134934e57069321a784b --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_04.txt @@ -0,0 +1 @@ +Graph depicting the correlation between pH (a) and Hþ concentration (b) and electrical current in the final measurement (open circle: concentration in the overlying water; closed circle: concentration in the interstitial water; and n ¼ 2). The dashed line represents a linear approximation curve. diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_05.jpg b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1afae25a94fb697e5693b90fe3b6aecf0f9901d7 --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cb2837da75db7217459902adacc4f294fdc0527ddb9812ac3f00c29a886829ca +size 35156 diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_05.txt b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..78dc196f4199a093f099a154cd69dfcaca1e4051 --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_05.txt @@ -0,0 +1 @@ +Graph depicting the correlation between Naþ (a) and Cl (b) concentrations and electrical current in the final measurement (open circle: concentration in the overlying water; closed circle: concentration in the interstitial water; and n ¼ 2). The dashed line represents a linear approximation curve. diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_06.jpg b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6da41a66e2c73db87ca5ab7b825a1803ca35a1f5 --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:62eafa1a2f7557e37812aaccefa197c1047583f249c5c995e77790c36c8beb91 +size 15015 diff --git a/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_06.txt b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f565f026b81a1825b542eaf4b14e4d13d0730ca --- /dev/null +++ b/Figures/Matsuki and Hirakawa - 2024 - Migration of various ions based on pH shifts triggered by the application of sediment microbial fuel/figure_06.txt @@ -0,0 +1 @@ +Graph depicting the correlation between Fe concentration in the interstitial water and electrical current in the final measurement (n ¼ 2). 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+ 187.22, + 610.03 + ] + } + ] + }, + { + "text": "lnα 0.02 0.53 232.30 228.14", + "bbox_points": [ + 189.64, + 605.88, + 545.54, + 614.18 + ], + "words": [ + { + "text": "lnα", + "bbox_points": [ + 189.64, + 605.88, + 201.09, + 614.18 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 418.17, + 606.16, + 433.42, + 614.18 + ] + }, + { + "text": "0.53", + "bbox_points": [ + 446.8, + 606.16, + 462.05, + 614.18 + ] + }, + { + "text": "232.30", + "bbox_points": [ + 482.29, + 606.16, + 506.37, + 614.18 + ] + }, + { + "text": "228.14", + "bbox_points": [ + 521.46, + 606.16, + 545.54, + 614.18 + ] + } + ] + }, + { + "text": "2 θ ¼ 6.99 10", + "bbox_points": [ + 43.42, + 619.88, + 124.14, + 628.18 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 43.42, + 620.16, + 47.84, + 628.18 + ] + }, + { + "text": "θ", + "bbox_points": [ + 77.5, + 619.88, + 81.5, + 627.88 + ] + }, + { + "text": "¼", + "bbox_points": [ + 83.05, + 619.88, + 89.21, + 627.88 + ] + }, + { + "text": "6.99", + "bbox_points": [ + 90.82, + 620.16, + 106.06, + 628.18 + ] + }, + { + "text": "10", + "bbox_points": [ + 115.31, + 620.16, + 124.14, + 628.18 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 128.75, + 618.64, + 132.06, + 623.98 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 128.75, + 618.64, + 132.06, + 623.98 + ] + } + ] + }, + { + "text": "3.01 10", + "bbox_points": [ + 142.98, + 620.17, + 176.31, + 628.18 + ], + "words": [ + { + "text": "3.01", + "bbox_points": [ + 142.98, + 620.17, + 158.23, + 628.18 + ] + }, + { + "text": "10", + "bbox_points": [ + 167.47, + 620.17, + 176.31, + 628.18 + ] + } + ] + }, + { + "text": "3", + "bbox_points": [ + 180.9, + 618.64, + 184.22, + 623.98 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 180.9, + 618.64, + 184.22, + 623.98 + ] + } + ] + }, + { + "text": "ln Puyacatengo peak discharge 0.02 0.49 192.54 188.80", + "bbox_points": [ + 186.63, + 620.17, + 545.53, + 628.18 + ], + "words": [ + { + "text": "ln", + "bbox_points": [ + 186.63, + 620.17, + 193.7, + 628.18 + ] + }, + { + "text": "Puyacatengo", + "bbox_points": [ + 196.1, + 620.17, + 241.34, + 628.18 + ] + }, + { + "text": "peak", + "bbox_points": [ + 243.67, + 620.17, + 260.98, + 628.18 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 263.34, + 620.17, + 297.63, + 628.18 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 418.17, + 620.17, + 433.41, + 628.18 + ] + }, + { + "text": "0.49", + "bbox_points": [ + 446.8, + 620.17, + 462.04, + 628.18 + ] + }, + { + "text": "192.54", + "bbox_points": [ + 482.29, + 620.17, + 506.37, + 628.18 + ] + }, + { + "text": "188.80", + "bbox_points": [ + 521.45, + 620.17, + 545.53, + 628.18 + ] + } + ] + }, + { + "text": "3 θ ¼ 3.17 10", + "bbox_points": [ + 43.42, + 633.89, + 124.14, + 642.18 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 43.42, + 634.17, + 47.83, + 642.18 + ] + }, + { + "text": "θ", + "bbox_points": [ + 77.49, + 633.89, + 81.49, + 641.89 + ] + }, + { + "text": "¼", + "bbox_points": [ + 83.04, + 633.89, + 89.2, + 641.89 + ] + }, + { + "text": "3.17", + "bbox_points": [ + 90.81, + 634.17, + 106.06, + 642.18 + ] + }, + { + "text": "10", + "bbox_points": [ + 115.31, + 634.17, + 124.14, + 642.18 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 128.75, + 632.64, + 132.06, + 637.98 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 128.75, + 632.64, + 132.06, + 637.98 + ] + } + ] + }, + { + "text": "3.21 10", + "bbox_points": [ + 142.98, + 634.17, + 176.31, + 642.19 + ], + "words": [ + { + "text": "3.21", + "bbox_points": [ + 142.98, + 634.17, + 158.23, + 642.19 + ] + }, + { + "text": "10", + "bbox_points": [ + 167.47, + 634.17, + 176.31, + 642.19 + ] + } + ] + }, + { + "text": "4", + "bbox_points": [ + 180.9, + 632.64, + 184.22, + 637.98 + ], + "words": [ + { + "text": "4", + "bbox_points": [ + 180.9, + 632.64, + 184.22, + 637.98 + ] + } + ] + }, + { + "text": "ln 2 h Oxolotan peak discharge 0.01 0.56 34.16 34.00", + "bbox_points": [ + 186.63, + 634.17, + 541.12, + 642.19 + ], + "words": [ + { + "text": "ln", + "bbox_points": [ + 186.63, + 634.17, + 193.7, + 642.19 + ] + }, + { + "text": "2", + "bbox_points": [ + 196.1, + 634.17, + 200.52, + 642.19 + ] + }, + { + "text": "h", + "bbox_points": [ + 202.51, + 634.17, + 207.25, + 642.19 + ] + }, + { + "text": "Oxolotan", + "bbox_points": [ + 209.65, + 634.17, + 243.42, + 642.19 + ] + }, + { + "text": "peak", + "bbox_points": [ + 245.82, + 634.17, + 263.13, + 642.19 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 265.49, + 634.17, + 299.79, + 642.19 + ] + }, + { + "text": "0.01", + "bbox_points": [ + 418.17, + 634.17, + 433.41, + 642.19 + ] + }, + { + "text": "0.56", + "bbox_points": [ + 446.8, + 634.17, + 462.04, + 642.19 + ] + }, + { + "text": "34.16", + "bbox_points": [ + 482.29, + 634.17, + 501.95, + 642.19 + ] + }, + { + "text": "34.00", + "bbox_points": [ + 521.45, + 634.17, + 541.12, + 642.19 + ] + } + ] + }, + { + "text": "4 lnα ¼ 9.17 100 þ 3.40 10", + "bbox_points": [ + 43.42, + 646.64, + 179.37, + 656.19 + ], + "words": [ + { + "text": "4", + "bbox_points": [ + 43.42, + 648.17, + 47.83, + 656.19 + ] + }, + { + "text": "lnα", + "bbox_points": [ + 77.49, + 647.89, + 89.15, + 656.19 + ] + }, + { + "text": "¼", + "bbox_points": [ + 90.7, + 647.89, + 96.86, + 655.89 + ] + }, + { + "text": "9.17", + "bbox_points": [ + 98.41, + 648.17, + 113.66, + 656.19 + ] + }, + { + "text": "100", + "bbox_points": [ + 122.96, + 646.64, + 135.07, + 656.19 + ] + }, + { + "text": "þ", + "bbox_points": [ + 137.48, + 647.89, + 143.64, + 655.89 + ] + }, + { + "text": "3.40", + "bbox_points": [ + 145.98, + 648.17, + 161.23, + 656.19 + ] + }, + { + "text": "10", + "bbox_points": [ + 170.54, + 648.17, + 179.37, + 656.19 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 183.97, + 646.64, + 187.28, + 651.98 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 183.97, + 646.64, + 187.28, + 651.98 + ] + } + ] + }, + { + "text": "ln Puyacatengo peak discharge 78.19 0.74 211.19 214.94", + "bbox_points": [ + 189.64, + 648.17, + 539.36, + 656.19 + ], + "words": [ + { + "text": "ln", + "bbox_points": [ + 189.64, + 648.17, + 196.71, + 656.19 + ] + }, + { + "text": "Puyacatengo", + "bbox_points": [ + 199.11, + 648.17, + 244.34, + 656.19 + ] + }, + { + "text": "peak", + "bbox_points": [ + 246.73, + 648.17, + 264.04, + 656.19 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 266.4, + 648.17, + 300.62, + 656.19 + ] + }, + { + "text": "78.19", + "bbox_points": [ + 418.16, + 648.17, + 437.83, + 656.19 + ] + }, + { + "text": "0.74", + "bbox_points": [ + 446.79, + 648.17, + 462.04, + 656.19 + ] + }, + { + "text": "211.19", + "bbox_points": [ + 476.16, + 648.17, + 500.24, + 656.19 + ] + }, + { + "text": "214.94", + "bbox_points": [ + 515.28, + 648.17, + 539.36, + 656.19 + ] + } + ] + }, + { + "text": "5 ln α ¼ 6.67 10", + "bbox_points": [ + 43.42, + 661.89, + 134.18, + 670.19 + ], + "words": [ + { + "text": "5", + "bbox_points": [ + 43.42, + 662.17, + 47.84, + 670.19 + ] + }, + { + "text": "ln", + "bbox_points": [ + 77.5, + 662.17, + 84.57, + 670.19 + ] + }, + { + "text": "α", + "bbox_points": [ + 86.97, + 661.89, + 91.54, + 669.89 + ] + }, + { + "text": "¼", + "bbox_points": [ + 93.09, + 661.89, + 99.25, + 669.89 + ] + }, + { + "text": "6.67", + "bbox_points": [ + 100.85, + 662.17, + 116.1, + 670.19 + ] + }, + { + "text": "10", + "bbox_points": [ + 125.35, + 662.17, + 134.18, + 670.19 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 138.79, + 660.64, + 142.1, + 665.99 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 138.79, + 660.64, + 142.1, + 665.99 + ] + } + ] + }, + { + "text": "5.92 10", + "bbox_points": [ + 153.01, + 662.18, + 186.4, + 670.19 + ], + "words": [ + { + "text": "5.92", + "bbox_points": [ + 153.01, + 662.18, + 168.26, + 670.19 + ] + }, + { + "text": "10", + "bbox_points": [ + 177.57, + 662.18, + 186.4, + 670.19 + ] + } + ] + }, + { + "text": "4", + "bbox_points": [ + 190.94, + 660.64, + 194.25, + 665.99 + ], + "words": [ + { + "text": "4", + "bbox_points": [ + 190.94, + 660.64, + 194.25, + 665.99 + ] + } + ] + }, + { + "text": "ln (Puyacatengo peak discharge þ 3.46E-03 ln Teapa 0.015 0.58 191.15 185.66", + "bbox_points": [ + 196.67, + 661.9, + 545.54, + 670.19 + ], + "words": [ + { + "text": "ln", + "bbox_points": [ + 196.67, + 662.18, + 203.74, + 670.19 + ] + }, + { + "text": "(Puyacatengo", + "bbox_points": [ + 206.14, + 662.18, + 254.09, + 670.19 + ] + }, + { + "text": "peak", + "bbox_points": [ + 256.48, + 662.18, + 273.79, + 670.19 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 276.15, + 662.18, + 310.37, + 670.19 + ] + }, + { + "text": "þ", + "bbox_points": [ + 311.92, + 661.9, + 318.08, + 669.9 + ] + }, + { + "text": "3.46E-03", + "bbox_points": [ + 319.69, + 662.18, + 351.35, + 670.19 + ] + }, + { + "text": "ln", + "bbox_points": [ + 360.57, + 662.18, + 367.64, + 670.19 + ] + }, + { + "text": "Teapa", + "bbox_points": [ + 369.98, + 662.18, 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"bbox_points": [ + 90.13, + 686.38, + 96.29, + 694.38 + ] + }, + { + "text": "4.93", + "bbox_points": [ + 97.84, + 686.66, + 113.09, + 694.68 + ] + }, + { + "text": "10", + "bbox_points": [ + 122.34, + 686.66, + 131.17, + 694.68 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 135.78, + 685.14, + 139.09, + 690.48 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 135.78, + 685.14, + 139.09, + 690.48 + ] + } + ] + }, + { + "text": "3.33 10", + "bbox_points": [ + 150.07, + 686.67, + 183.39, + 694.68 + ], + "words": [ + { + "text": "3.33", + "bbox_points": [ + 150.07, + 686.67, + 165.31, + 694.68 + ] + }, + { + "text": "10", + "bbox_points": [ + 174.56, + 686.67, + 183.39, + 694.68 + ] + } + ] + }, + { + "text": "3", + "bbox_points": [ + 187.99, + 685.14, + 191.31, + 690.48 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 187.99, + 685.14, + 191.31, + 690.48 + ] + } + ] + }, + { + "text": "ln (Puyacatengo peak discharge þ4.99E-04 Gaviota peak 0.006 0.83 232.20 226.71", + "bbox_points": [ + 193.72, + 686.39, + 545.53, + 694.68 + ], + "words": [ + { + "text": "ln", + "bbox_points": [ + 193.72, + 686.67, + 200.79, + 694.68 + ] + }, + { + "text": "(Puyacatengo", + "bbox_points": [ + 203.13, + 686.67, + 251.15, + 694.68 + ] + }, + { + "text": "peak", + "bbox_points": [ + 253.47, + 686.67, + 270.79, + 694.68 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 273.15, + 686.67, + 307.44, + 694.68 + ] + }, + { + "text": "þ4.99E-04", + "bbox_points": [ + 309.77, + 686.39, + 347.6, + 694.68 + ] + }, + { + "text": "Gaviota", + "bbox_points": [ + 356.82, + 686.67, + 385.34, + 694.68 + ] + }, + { + "text": "peak", + "bbox_points": [ + 387.72, + 686.67, + 405.03, + 694.68 + ] + }, + { + "text": "0.006", + "bbox_points": [ + 418.16, + 686.67, + 437.83, + 694.68 + ] + }, + { + "text": "0.83", + "bbox_points": [ + 446.79, + 686.67, + 462.04, + 694.68 + ] + }, + { + "text": "232.20", + "bbox_points": [ + 482.28, + 686.67, + 506.36, + 694.68 + ] + }, + { 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end-use volumes and (b) comparison against those obtained by applying the enhanced disaggregation and classification method. diff --git a/Figures/Mazzoni et al. - 2024 - An enhanced method for automated end-use classification of household water data/figure_04.jpg b/Figures/Mazzoni et al. - 2024 - An enhanced method for automated end-use classification of household water data/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..bbc10e40fea64e1083b486828927f7b28fffb0d1 --- /dev/null +++ b/Figures/Mazzoni et al. - 2024 - An enhanced method for automated end-use classification of household water data/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:52b32f8b5567871d30de945d08d26942677813951da6430dfde75243cf987a43 +size 59503 diff --git a/Figures/Mazzoni et al. - 2024 - An enhanced method for automated end-use classification of household water data/figure_04.txt b/Figures/Mazzoni et al. - 2024 - An enhanced method for 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], + "words": [ + { + "text": "Withdrawal", + "bbox_points": [ + 130.39, + 173.82, + 172.37, + 181.84 + ] + }, + { + "text": "volumea", + "bbox_points": [ + 174.73, + 172.29, + 204.27, + 181.84 + ] + }, + { + "text": "vDW,", + "bbox_points": [ + 294.97, + 173.72, + 310.94, + 182.69 + ] + }, + { + "text": "min", + "bbox_points": [ + 311.87, + 177.08, + 321.72, + 182.69 + ] + }, + { + "text": "¼", + "bbox_points": [ + 324.4, + 173.54, + 330.56, + 181.54 + ] + }, + { + "text": "2", + "bbox_points": [ + 332.73, + 173.82, + 337.15, + 181.84 + ] + }, + { + "text": "L", + "bbox_points": [ + 339.36, + 173.82, + 344.69, + 181.84 + ] + }, + { + "text": "vDW,", + "bbox_points": [ + 384.89, + 173.38, + 400.86, + 182.12 + ] + }, + { + "text": "max", + "bbox_points": [ + 401.78, + 176.51, + 412.5, + 182.12 + ] + }, + { + "text": "¼", + "bbox_points": [ + 415.16, + 173.2, + 421.32, + 181.2 + ] + }, + { + "text": "6", + "bbox_points": [ + 423.55, + 173.48, + 427.97, + 181.5 + ] + }, + { + "text": "L", + "bbox_points": [ + 430.19, + 173.48, + 435.51, + 181.5 + ] + }, + { + "text": "–", + "bbox_points": [ + 480.07, + 173.54, + 484.07, + 181.54 + ] + } + ] + }, + { + "text": "Time between subsequent withdrawalsa pDW, min ¼ 5 min pDW, max ¼ 60 min –", + "bbox_points": [ + 130.39, + 183.29, + 484.08, + 193.69 + ], + "words": [ + { + "text": "Time", + "bbox_points": [ + 130.39, + 184.76, + 148.72, + 192.78 + ] + }, + { + "text": "between", + "bbox_points": [ + 151.09, + 184.76, + 180.95, + 192.78 + ] + }, + { + "text": "subsequent", + "bbox_points": [ + 183.29, + 184.76, + 223.25, + 192.78 + ] + }, + { + "text": "withdrawalsa", + "bbox_points": [ + 225.58, + 183.29, + 272.13, + 192.78 + ] + }, + { + "text": "pDW,", + "bbox_points": [ + 294.97, + 184.66, + 311.17, + 193.69 + ] + }, + { + "text": "min", + "bbox_points": [ + 312.09, + 188.08, + 321.94, + 193.69 + ] + }, + { + "text": "¼", + "bbox_points": [ + 324.62, + 184.49, + 330.78, + 192.48 + ] + }, + { + "text": "5", + "bbox_points": [ + 333.01, + 184.77, + 337.43, + 192.78 + ] + }, + { + "text": "min", + "bbox_points": [ + 340.95, + 184.77, + 355.02, + 192.78 + ] + }, + { + "text": "pDW,", + "bbox_points": [ + 384.89, + 184.66, + 401.08, + 193.4 + ] + }, + { + "text": "max", + "bbox_points": [ + 402.01, + 187.79, + 412.73, + 193.4 + ] + }, + { + "text": "¼", + "bbox_points": [ + 415.45, + 184.49, + 421.61, + 192.48 + ] + }, + { + "text": "60", + "bbox_points": [ + 423.78, + 184.77, + 432.61, + 192.78 + ] + }, + { + "text": "min", + "bbox_points": [ + 436.14, + 184.77, + 450.21, + 192.78 + ] + }, + { + "text": "–", + "bbox_points": [ + 480.08, + 184.49, + 484.08, + 192.48 + ] + } + ] + }, + { + "text": "Daily per capita frequency of useb,c – fDW, max ¼ 0:5u=p=d –", + "bbox_points": [ + 130.39, + 194.23, + 484.08, + 204.57 + ], + "words": [ + { + "text": "Daily", + "bbox_points": [ + 130.39, + 195.76, + 149.79, + 203.78 + ] + }, + { + "text": "per", + "bbox_points": [ + 152.16, + 195.76, + 163.9, + 203.78 + ] + }, + { + "text": "capita", + "bbox_points": [ + 166.11, + 195.76, + 187.91, + 203.78 + ] + }, + { + "text": "frequency", + "bbox_points": [ + 190.09, + 195.76, + 225.33, + 203.78 + ] + }, + { + "text": "of", + "bbox_points": [ + 227.45, + 195.76, + 234.52, + 203.78 + ] + }, + { + "text": "useb,c", + "bbox_points": [ + 236.92, + 194.23, + 256.64, + 203.78 + ] + }, + { + "text": "–", + "bbox_points": [ + 294.97, + 195.48, + 298.97, + 203.48 + ] + }, + { + "text": "fDW,", + "bbox_points": [ + 384.89, + 195.83, + 399.21, + 204.57 + ] + }, + { + "text": "max", + "bbox_points": [ + 400.08, + 198.96, + 410.8, + 204.57 + ] + }, + { + "text": "¼", + "bbox_points": [ + 413.52, + 195.65, + 419.68, + 203.65 + ] + }, + { + "text": "0:5u=p=d", + "bbox_points": [ + 421.91, + 195.65, + 454.78, + 203.95 + ] + }, + { + "text": "–", + "bbox_points": [ + 480.08, + 195.48, + 484.08, + 203.48 + ] + } + ] + }, + { + "text": "Washing machine Load durationa DWM, min ¼ 15 min DWM, max ¼ 180 min DWM,ref ¼ 90 min", + "bbox_points": [ + 43.43, + 208.63, + 543.75, + 219.08 + ], + "words": [ + { + "text": "Washing", + "bbox_points": [ + 43.43, + 210.16, + 74.76, + 218.18 + ] + }, + { + "text": "machine", + "bbox_points": [ + 77.16, + 210.16, + 107.98, + 218.18 + ] + }, + { + "text": "Load", + "bbox_points": [ + 130.4, + 210.16, + 149.04, + 218.18 + ] + }, + { + "text": "durationa", + "bbox_points": [ + 151.43, + 208.63, + 184.82, + 218.18 + ] + }, + { + "text": "DWM,", + "bbox_points": [ + 294.97, + 210.06, + 314.14, + 219.03 + ] + }, + { + "text": "min", + "bbox_points": [ + 315.04, + 213.42, + 324.89, + 219.03 + ] + }, + { + "text": "¼", + "bbox_points": [ + 327.63, + 209.88, + 333.79, + 217.88 + ] + }, + { + "text": "15", + "bbox_points": [ + 335.96, + 210.16, + 344.79, + 218.18 + ] + }, + { + "text": "min", + "bbox_points": [ + 348.32, + 210.16, + 362.39, + 218.18 + ] + }, + { + "text": "DWM,", + "bbox_points": [ + 384.89, + 210.06, + 404.11, + 218.8 + ] + }, + { + "text": "max", + "bbox_points": [ + 405.01, + 213.19, + 415.74, + 218.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 418.39, + 209.88, + 424.55, + 217.88 + ] + }, + { + "text": "180", + "bbox_points": [ + 426.78, + 210.16, + 440.03, + 218.18 + ] + }, + { + "text": "min", + "bbox_points": [ + 443.57, + 210.16, + 457.64, + 218.18 + ] + }, + { + "text": "DWM,ref", + "bbox_points": [ + 480.08, + 210.06, + 506.06, + 219.08 + ] + }, + { + "text": "¼", + "bbox_points": [ + 508.93, + 209.88, + 515.09, + 217.88 + ] + }, + { + "text": "90", + "bbox_points": [ + 517.32, + 210.16, + 526.15, + 218.18 + ] + }, + { + "text": "min", + "bbox_points": [ + 529.68, + 210.16, + 543.75, + 218.18 + ] + } + ] + }, + { + "text": "Load volumeb VWM, min ¼ 65 L VWM, max ¼ 175 L VWM,ref ¼ 113 L", + "bbox_points": [ + 130.4, + 219.63, + 536.99, + 230.03 + ], + "words": [ + { + "text": "Load", + "bbox_points": [ + 130.4, + 221.16, + 149.04, + 229.18 + ] + }, + { + "text": "volumeb", + "bbox_points": [ + 151.43, + 219.63, + 181.16, + 229.18 + ] + }, + { + "text": "VWM,", + "bbox_points": [ + 294.97, + 221.06, + 313.06, + 230.03 + ] + }, + { + "text": "min", + "bbox_points": [ + 313.96, + 224.42, + 323.81, + 230.03 + ] + }, + { + "text": "¼", + "bbox_points": [ + 326.55, + 220.88, + 332.71, + 228.88 + ] + }, + { + "text": "65", + "bbox_points": [ + 334.88, + 221.16, + 343.72, + 229.18 + ] + }, + { + "text": "L", + "bbox_points": [ + 345.94, + 221.16, + 351.27, + 229.18 + ] + }, + { + "text": "VWM,", + "bbox_points": [ + 384.89, + 220.89, + 403.04, + 229.63 + ] + }, + { + "text": "max", + "bbox_points": [ + 403.94, + 224.02, + 414.66, + 229.63 + ] + }, + { + "text": "¼", + "bbox_points": [ + 417.32, + 220.71, + 423.48, + 228.71 + ] + }, + { + "text": "175", + "bbox_points": [ + 425.71, + 220.99, + 438.95, + 229.01 + ] + }, + { + "text": "L", + "bbox_points": [ + 441.13, + 220.99, + 446.46, + 229.01 + ] + }, + { + "text": "VWM,ref", + "bbox_points": [ + 480.07, + 220.83, + 504.98, + 229.86 + ] + }, + { + "text": "¼", + "bbox_points": [ + 507.86, + 220.66, + 514.01, + 228.66 + ] + }, + { + "text": "113", + "bbox_points": [ + 516.25, + 220.94, + 529.49, + 228.95 + ] + }, + { + "text": "L", + "bbox_points": [ + 531.67, + 220.94, + 536.99, + 228.95 + ] + } + ] + }, + { + "text": "Number of withdrawals per loada XWM, min ¼ 2 XWM, max ¼ 6 XWM,ref ¼ 4", + "bbox_points": [ + 130.39, + 230.63, + 521.34, + 241.02 + ], + "words": [ + { + "text": "Number", + "bbox_points": [ + 130.39, + 232.16, + 160.29, + 240.18 + ] + }, + { + "text": "of", + "bbox_points": [ + 162.48, + 232.16, + 169.56, + 240.18 + ] + }, + { + "text": "withdrawals", + "bbox_points": [ + 171.89, + 232.16, + 215.39, + 240.18 + ] + }, + { + "text": "per", + "bbox_points": [ + 217.76, + 232.16, + 229.49, + 240.18 + ] + }, + { + "text": "loada", + "bbox_points": [ + 231.88, + 230.63, + 250.64, + 240.18 + ] + }, + { + "text": "XWM,", + "bbox_points": [ + 294.97, + 232.06, + 313.74, + 241.02 + ] + }, + { + "text": "min", + "bbox_points": [ + 314.65, + 235.41, + 324.49, + 241.02 + ] + }, + { + "text": "¼", + "bbox_points": [ + 327.17, + 231.88, + 333.33, + 239.88 + ] + }, + { + "text": "2", + "bbox_points": [ + 335.57, + 232.16, + 339.98, + 240.18 + ] + }, + { + "text": "XWM,", + "bbox_points": [ + 384.89, + 231.72, + 403.66, + 240.46 + ] + }, + { + "text": "max", + "bbox_points": [ + 404.56, + 234.85, + 415.28, + 240.46 + ] + }, + { + "text": "¼", + "bbox_points": [ + 418.0, + 231.54, + 424.16, + 239.54 + ] + }, + { + "text": "6", + "bbox_points": [ + 426.39, + 231.82, + 430.8, + 239.84 + ] + }, + { + "text": "XWM,ref", + "bbox_points": [ + 480.08, + 231.78, + 505.66, + 240.85 + ] + }, + { + "text": "¼", + "bbox_points": [ + 508.54, + 231.6, + 514.7, + 239.6 + ] + }, + { + "text": "4", + "bbox_points": [ + 516.93, + 231.88, + 521.34, + 239.89 + ] + } + ] + }, + { + "text": "Withdrawal durationa dWM, min ¼ 1 min dWM, max ¼ 3 min –", + "bbox_points": [ + 130.4, + 241.63, + 484.07, + 251.97 + ], + "words": [ + { + "text": "Withdrawal", + "bbox_points": [ + 130.4, + 243.1, + 172.37, + 251.12 + ] + }, + { + "text": "durationa", + "bbox_points": [ + 174.73, + 241.63, + 208.18, + 251.12 + ] + }, + { + "text": "dWM,", + "bbox_points": [ + 294.97, + 243.0, + 312.16, + 251.97 + ] + }, + { + "text": "min", + "bbox_points": [ + 313.06, + 246.36, + 322.91, + 251.97 + ] + }, + { + "text": "¼", + "bbox_points": [ + 325.64, + 242.82, + 331.8, + 250.82 + ] + }, + { + "text": "1", + "bbox_points": [ + 333.98, + 243.1, + 338.39, + 251.12 + ] + }, + { + "text": "min", + "bbox_points": [ + 341.97, + 243.1, + 356.04, + 251.12 + ] + }, + { + "text": "dWM,", + "bbox_points": [ + 384.89, + 243.0, + 402.07, + 251.74 + ] + }, + { + "text": "max", + "bbox_points": [ + 402.97, + 246.13, + 413.7, + 251.74 + ] + }, + { + "text": "¼", + "bbox_points": [ + 416.41, + 242.82, + 422.57, + 250.82 + ] + }, + { + "text": "3", + "bbox_points": [ + 424.8, + 243.1, + 429.22, + 251.12 + ] + }, + { + "text": "min", + "bbox_points": [ + 432.74, + 243.1, + 446.81, + 251.12 + ] + }, + { + "text": "–", + "bbox_points": [ + 480.07, + 242.82, + 484.07, + 250.82 + ] + } + ] + }, + { + "text": "Withdrawal volumea vWM,min ¼ 5 L vWM, max ¼ 25 L –", + "bbox_points": [ + 130.39, + 252.57, + 484.07, + 262.79 + ], + "words": [ + { + "text": "Withdrawal", + "bbox_points": [ + 130.39, + 254.1, + 172.37, + 262.12 + ] + }, + { + "text": "volumea", + "bbox_points": [ + 174.73, + 252.57, + 204.27, + 262.12 + ] + }, + { + "text": "vWM,min", + "bbox_points": [ + 294.97, + 254.0, + 321.55, + 262.79 + ] + }, + { + "text": "¼", + "bbox_points": [ + 324.28, + 253.82, + 330.44, + 261.82 + ] + }, + { + "text": "5", + "bbox_points": [ + 332.62, + 254.1, + 337.03, + 262.12 + ] + }, + { + "text": "L", + "bbox_points": [ + 339.25, + 254.1, + 344.58, + 262.12 + ] + }, + { + "text": "vWM,", + "bbox_points": [ + 384.89, + 253.83, + 401.68, + 262.57 + ] + }, + { + "text": "max", + "bbox_points": [ + 402.58, + 256.96, + 413.3, + 262.57 + ] + }, + { + "text": "¼", + "bbox_points": [ + 416.01, + 253.65, + 422.17, + 261.65 + ] + }, + { + "text": "25", + "bbox_points": [ + 424.35, + 253.93, + 433.18, + 261.95 + ] + }, + { + "text": "L", + "bbox_points": [ + 435.4, + 253.93, + 440.73, + 261.95 + ] + }, + { + "text": "–", + "bbox_points": [ + 480.07, + 253.82, + 484.07, + 261.82 + ] + } + ] + }, + { + "text": "Time between subsequent withdrawalsd pWM, min ¼ 5 min pWM, max ¼ 60 min –", + "bbox_points": [ + 130.39, + 263.4, + 484.08, + 273.79 + ], + "words": [ + { + "text": "Time", + "bbox_points": [ + 130.39, + 264.87, + 148.72, + 272.89 + ] + }, + { + "text": "between", + "bbox_points": [ + 151.09, + 264.87, + 180.95, + 272.89 + ] + }, + { + "text": "subsequent", + "bbox_points": [ + 183.29, + 264.87, + 223.25, + 272.89 + ] + }, + { + "text": "withdrawalsd", + "bbox_points": [ + 225.58, + 263.4, + 272.44, + 272.89 + ] + }, + { + "text": "pWM,", + "bbox_points": [ + 294.97, + 264.77, + 311.99, + 273.79 + ] + }, + { + "text": "min", + "bbox_points": [ + 312.89, + 268.18, + 322.74, + 273.79 + ] + }, + { + "text": "¼", + "bbox_points": [ + 325.47, + 264.59, + 331.63, + 272.59 + ] + }, + { + "text": "5", + "bbox_points": [ + 333.81, + 264.87, + 338.22, + 272.89 + ] + }, + { + "text": "min", + "bbox_points": [ + 341.8, + 264.87, + 355.87, + 272.89 + ] + }, + { + "text": "pWM,", + "bbox_points": [ + 384.89, + 264.77, + 401.9, + 273.51 + ] + }, + { + "text": "max", + "bbox_points": [ + 402.8, + 267.9, + 413.53, + 273.51 + ] + }, + { + "text": "¼", + "bbox_points": [ + 416.24, + 264.59, + 422.4, + 272.59 + ] + }, + { + "text": "60", + "bbox_points": [ + 424.63, + 264.87, + 433.46, + 272.89 + ] + }, + { + "text": "min", + "bbox_points": [ + 436.99, + 264.87, + 451.06, + 272.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 480.08, + 264.59, + 484.08, + 272.59 + ] + } + ] + }, + { + "text": "Daily per capita frequency of useb,c – fDW, max ¼ 0:4 u=p=d –", + "bbox_points": [ + 130.39, + 274.34, + 484.08, + 284.68 + ], + "words": [ + { + "text": "Daily", + "bbox_points": [ + 130.39, + 275.87, + 149.79, + 283.89 + ] + }, + { + "text": "per", + "bbox_points": [ + 152.16, + 275.87, + 163.9, + 283.89 + ] + }, + { + "text": "capita", + "bbox_points": [ + 166.11, + 275.87, + 187.91, + 283.89 + ] + }, + { + "text": "frequency", + "bbox_points": [ + 190.09, + 275.87, + 225.33, + 283.89 + ] + }, + { + "text": "of", + "bbox_points": [ + 227.45, + 275.87, + 234.52, + 283.89 + ] + }, + { + "text": "useb,c", + "bbox_points": [ + 236.92, + 274.34, + 256.64, + 283.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 294.97, + 275.59, + 298.97, + 283.59 + ] + }, + { + "text": "fDW,", + "bbox_points": [ + 384.89, + 275.94, + 399.21, + 284.68 + ] + }, + { + "text": "max", + "bbox_points": [ + 400.08, + 279.07, + 410.8, + 284.68 + ] + }, + { + "text": "¼", + "bbox_points": [ + 413.52, + 275.76, + 419.68, + 283.76 + ] + }, + { + "text": "0:4", + "bbox_points": [ + 421.91, + 275.76, + 432.9, + 284.06 + ] + }, + { + "text": "u=p=d", + "bbox_points": [ + 435.06, + 275.76, + 457.04, + 283.94 + ] + }, + { + "text": "–", + "bbox_points": [ + 480.08, + 275.59, + 484.08, + 283.59 + ] + } + ] + }, + { + "text": "Shower Durationb DS, min ¼ 3 min DS, max ¼ 13 min DS,ref ¼ 7 min", + "bbox_points": [ + 43.43, + 288.74, + 531.22, + 299.19 + ], + "words": [ + { + "text": "Shower", + "bbox_points": [ + 43.43, + 290.27, + 70.66, + 298.29 + ] + }, + { + "text": "Durationb", + "bbox_points": [ + 130.4, + 288.74, + 166.02, + 298.29 + ] + }, + { + "text": "DS,", + "bbox_points": [ + 294.97, + 290.17, + 306.01, + 299.13 + ] + }, + { + "text": "min", + "bbox_points": [ + 306.94, + 293.52, + 316.78, + 299.13 + ] + }, + { + "text": "¼", + "bbox_points": [ + 319.46, + 289.99, + 325.62, + 297.99 + ] + }, + { + "text": "3", + "bbox_points": [ + 327.85, + 290.27, + 332.27, + 298.29 + ] + }, + { + "text": "min", + "bbox_points": [ + 335.79, + 290.27, + 349.86, + 298.29 + ] + }, + { + "text": "DS,", + "bbox_points": [ + 384.89, + 290.11, + 395.93, + 299.02 + ] + }, + { + "text": "max", + "bbox_points": [ + 396.85, + 293.41, + 407.57, + 299.02 + ] + }, + { + "text": "¼", + "bbox_points": [ + 410.29, + 289.93, + 416.45, + 297.93 + ] + }, + { + "text": "13", + "bbox_points": [ + 418.62, + 290.21, + 427.45, + 298.23 + ] + }, + { + "text": "min", + "bbox_points": [ + 430.98, + 290.21, + 445.05, + 298.23 + ] + }, + { + "text": "DS,ref", + "bbox_points": [ + 480.08, + 290.11, + 497.87, + 299.19 + ] + }, + { + "text": "¼", + "bbox_points": [ + 500.83, + 289.93, + 506.99, + 297.93 + ] + }, + { + "text": "7", + "bbox_points": [ + 509.16, + 290.21, + 513.57, + 298.23 + ] + }, + { + "text": "min", + "bbox_points": [ + 517.15, + 290.21, + 531.22, + 298.23 + ] + } + ] + }, + { + "text": "Volumeb VS, min ¼ 30 L VS, max ¼ 108 L VS,ref ¼ 59 L", + "bbox_points": [ + 130.4, + 299.74, + 524.46, + 310.13 + ], + "words": [ + { + "text": "Volumeb", + "bbox_points": [ + 130.4, + 299.74, + 161.94, + 309.28 + ] + }, + { + "text": "VS,", + "bbox_points": [ + 294.97, + 301.17, + 304.93, + 310.13 + ] + }, + { + "text": "min", + "bbox_points": [ + 305.86, + 304.52, + 315.71, + 310.13 + ] + }, + { + "text": "¼", + "bbox_points": [ + 318.39, + 300.99, + 324.55, + 308.99 + ] + }, + { + "text": "30", + "bbox_points": [ + 326.78, + 301.27, + 335.61, + 309.28 + ] + }, + { + "text": "L", + "bbox_points": [ + 337.78, + 301.27, + 343.1, + 309.28 + ] + }, + { + "text": "VS,", + "bbox_points": [ + 384.89, + 300.83, + 394.85, + 309.68 + ] + }, + { + "text": "max", + "bbox_points": [ + 395.77, + 304.07, + 406.5, + 309.68 + ] + }, + { + "text": "¼", + "bbox_points": [ + 409.21, + 300.65, + 415.37, + 308.65 + ] + }, + { + "text": "108", + "bbox_points": [ + 417.54, + 300.93, + 430.79, + 308.94 + ] + }, + { + "text": "L", + "bbox_points": [ + 432.96, + 300.83, + 438.12, + 308.83 + ] + }, + { + "text": "VS,ref", + "bbox_points": [ + 480.07, + 301.0, + 496.8, + 310.02 + ] + }, + { + "text": "¼", + "bbox_points": [ + 499.75, + 300.82, + 505.91, + 308.82 + ] + }, + { + "text": "59", + "bbox_points": [ + 508.08, + 301.1, + 516.91, + 309.11 + ] + }, + { + "text": "L", + "bbox_points": [ + 519.14, + 301.1, + 524.46, + 309.11 + ] + } + ] + }, + { + "text": "Duration of flow interruption per usec – pS, max ¼ 2 min –", + "bbox_points": [ + 130.39, + 310.74, + 484.07, + 321.02 + ], + "words": [ + { + "text": "Duration", + "bbox_points": [ + 130.39, + 312.27, + 162.76, + 320.28 + ] + }, + { + "text": "of", + "bbox_points": [ + 165.09, + 312.27, + 172.16, + 320.28 + ] + }, + { + "text": "flow", + "bbox_points": [ + 174.56, + 311.99, + 190.07, + 320.28 + ] + }, + { + "text": "interruption", + "bbox_points": [ + 192.42, + 312.27, + 235.7, + 320.28 + ] + }, + { + "text": "per", + "bbox_points": [ + 238.11, + 312.27, + 249.85, + 320.28 + ] + }, + { + "text": "usec", + "bbox_points": [ + 252.23, + 310.74, + 267.08, + 320.28 + ] + }, + { + "text": "–", + "bbox_points": [ + 294.97, + 311.99, + 298.97, + 319.99 + ] + }, + { + "text": "pS,", + "bbox_points": [ + 384.89, + 312.17, + 393.77, + 321.02 + ] + }, + { + "text": "max", + "bbox_points": [ + 394.7, + 315.41, + 405.42, + 321.02 + ] + }, + { + "text": "¼", + "bbox_points": [ + 408.13, + 311.99, + 414.29, + 319.99 + ] + }, + { + "text": "2", + "bbox_points": [ + 416.47, + 312.27, + 420.88, + 320.28 + ] + }, + { + "text": "min", + "bbox_points": [ + 424.46, + 312.27, + 438.53, + 320.28 + ] + }, + { + "text": "–", + "bbox_points": [ + 480.07, + 311.99, + 484.07, + 319.99 + ] + } + ] + }, + { + "text": "Daily per capita frequency of useb,c – fS, max ¼ 1:4 u=p=d –", + "bbox_points": [ + 130.39, + 321.56, + 484.08, + 332.02 + ], + "words": [ + { + "text": "Daily", + "bbox_points": [ + 130.39, + 323.1, + 149.79, + 331.11 + ] + }, + { + "text": "per", + "bbox_points": [ + 152.16, + 323.1, + 163.9, + 331.11 + ] + }, + { + "text": "capita", + "bbox_points": [ + 166.11, + 323.1, + 187.91, + 331.11 + ] + }, + { + "text": "frequency", + "bbox_points": [ + 190.09, + 323.1, + 225.33, + 331.11 + ] + }, + { + "text": "of", + "bbox_points": [ + 227.45, + 323.1, + 234.52, + 331.11 + ] + }, + { + "text": "useb,c", + "bbox_points": [ + 236.92, + 321.56, + 256.64, + 331.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 294.97, + 322.82, + 298.97, + 330.82 + ] + }, + { + "text": "fS,", + "bbox_points": [ + 384.89, + 323.16, + 391.84, + 332.02 + ] + }, + { + "text": "max", + "bbox_points": [ + 392.77, + 326.41, + 403.49, + 332.02 + ] + }, + { + "text": "¼", + "bbox_points": [ + 406.2, + 322.99, + 412.36, + 330.99 + ] + }, + { + "text": "1:4", + "bbox_points": [ + 414.59, + 322.99, + 425.53, + 331.28 + ] + }, + { + "text": "u=p=d", + "bbox_points": [ + 427.75, + 322.99, + 449.67, + 331.16 + ] + }, + { + "text": "–", + "bbox_points": [ + 480.08, + 322.82, + 484.08, + 330.82 + ] + } + ] + }, + { + "text": "Toilet Durationb DF, min ¼ 1 min DF, max ¼ 2 min DF,ref ¼ 1 min", + "bbox_points": [ + 43.43, + 336.08, + 531.62, + 346.53 + ], + "words": [ + { + "text": "Toilet", + "bbox_points": [ + 43.43, + 337.61, + 64.06, + 345.62 + ] + }, + { + "text": "Durationb", + "bbox_points": [ + 130.4, + 336.08, + 166.02, + 345.62 + ] + }, + { + "text": "DF,", + "bbox_points": [ + 294.97, + 337.51, + 306.41, + 346.47 + ] + }, + { + "text": "min", + "bbox_points": [ + 307.33, + 340.86, + 317.18, + 346.47 + ] + }, + { + "text": "¼", + "bbox_points": [ + 319.86, + 337.33, + 326.02, + 345.33 + ] + }, + { + "text": "1", + "bbox_points": [ + 328.25, + 337.61, + 332.67, + 345.63 + ] + }, + { + "text": "min", + "bbox_points": [ + 336.19, + 337.61, + 350.26, + 345.63 + ] + }, + { + "text": "DF,", + "bbox_points": [ + 384.89, + 337.51, + 396.32, + 346.25 + ] + }, + { + "text": "max", + "bbox_points": [ + 397.25, + 340.64, + 407.97, + 346.25 + ] + }, + { + "text": "¼", + "bbox_points": [ + 410.68, + 337.33, + 416.84, + 345.33 + ] + }, + { + "text": "2", + "bbox_points": [ + 419.02, + 337.61, + 423.43, + 345.63 + ] + }, + { + "text": "min", + "bbox_points": [ + 427.01, + 337.61, + 441.08, + 345.63 + ] + }, + { + "text": "DF,ref", + "bbox_points": [ + 480.07, + 337.51, + 498.27, + 346.53 + ] + }, + { + "text": "¼", + "bbox_points": [ + 501.22, + 337.33, + 507.38, + 345.33 + ] + }, + { + "text": "1", + "bbox_points": [ + 509.61, + 337.61, + 514.03, + 345.63 + ] + }, + { + "text": "min", + "bbox_points": [ + 517.55, + 337.61, + 531.62, + 345.63 + ] + } + ] + }, + { + "text": "Volumeb VF, min ¼ 5 L VF, max ¼ 13 L VF,ref ¼ 9 L", + "bbox_points": [ + 130.4, + 347.13, + 520.44, + 357.47 + ], + "words": [ + { + "text": "Volumeb", + "bbox_points": [ + 130.4, + 347.13, + 161.94, + 356.62 + ] + }, + { + "text": "VF,", + "bbox_points": [ + 294.97, + 348.51, + 305.33, + 357.47 + ] + }, + { + "text": "min", + "bbox_points": [ + 306.26, + 351.86, + 316.1, + 357.47 + ] + }, + { + "text": "¼", + "bbox_points": [ + 318.78, + 348.33, + 324.94, + 356.33 + ] + }, + { + "text": "5", + "bbox_points": [ + 327.17, + 348.61, + 331.59, + 356.62 + ] + }, + { + "text": "L", + "bbox_points": [ + 333.81, + 348.61, + 339.14, + 356.62 + ] + }, + { + "text": "VF,", + "bbox_points": [ + 384.89, + 348.17, + 395.25, + 356.91 + ] + }, + { + "text": "max", + "bbox_points": [ + 396.17, + 351.29, + 406.89, + 356.91 + ] + }, + { + "text": "¼", + "bbox_points": [ + 409.61, + 347.99, + 415.77, + 355.99 + ] + }, + { + "text": "13", + "bbox_points": [ + 417.94, + 348.27, + 426.77, + 356.28 + ] + }, + { + "text": "L", + "bbox_points": [ + 428.99, + 348.27, + 434.32, + 356.28 + ] + }, + { + "text": "VF,ref", + "bbox_points": [ + 480.07, + 348.28, + 497.19, + 357.3 + ] + }, + { + "text": "¼", + "bbox_points": [ + 500.14, + 348.1, + 506.3, + 356.1 + ] + }, + { + "text": "9", + "bbox_points": [ + 508.54, + 348.38, + 512.95, + 356.4 + ] + }, + { + "text": "L", + "bbox_points": [ + 515.11, + 348.38, + 520.44, + 356.4 + ] + } + ] + }, + { + "text": "Daily per capita frequency of useb,c – – fF,ref ¼ 4:4 u=p=d", + "bbox_points": [ + 130.4, + 358.07, + 540.67, + 368.7 + ], + "words": [ + { + "text": "Daily", + "bbox_points": [ + 130.4, + 359.61, + 149.79, + 367.62 + ] + }, + { + "text": "per", + "bbox_points": [ + 152.17, + 359.61, + 163.9, + 367.62 + ] + }, + { + "text": "capita", + "bbox_points": [ + 166.11, + 359.61, + 187.91, + 367.62 + ] + }, + { + "text": "frequency", + "bbox_points": [ + 190.09, + 359.61, + 225.33, + 367.62 + ] + }, + { + "text": "of", + "bbox_points": [ + 227.45, + 359.61, + 234.52, + 367.62 + ] + }, + { + "text": "useb,c", + "bbox_points": [ + 236.92, + 358.07, + 256.64, + 367.62 + ] + }, + { + "text": "–", + "bbox_points": [ + 294.97, + 359.33, + 298.97, + 367.33 + ] + }, + { + "text": "–", + "bbox_points": [ + 384.89, + 359.33, + 388.89, + 367.33 + ] + }, + { + "text": "fF,ref", + "bbox_points": [ + 480.07, + 359.62, + 494.24, + 368.7 + ] + }, + { + "text": "¼", + "bbox_points": [ + 497.14, + 359.44, + 503.3, + 367.44 + ] + }, + { + "text": "4:4", + "bbox_points": [ + 505.53, + 359.44, + 516.52, + 367.74 + ] + }, + { + "text": "u=p=d", + "bbox_points": [ + 518.68, + 359.44, + 540.67, + 367.62 + ] + } + ] + }, + { + "text": "Taps Durationb DT, min ¼ 1 min DT, max ¼ 1 min DT,ref ¼ 1 min", + "bbox_points": [ + 43.43, + 372.76, + 532.02, + 383.21 + ], + "words": [ + { + "text": "Taps", + "bbox_points": [ + 43.43, + 374.29, + 60.31, + 382.31 + ] + }, + { + "text": "Durationb", + "bbox_points": [ + 130.4, + 372.76, + 166.02, + 382.31 + ] + }, + { + "text": "DT,", + "bbox_points": [ + 294.97, + 374.19, + 306.8, + 383.15 + ] + }, + { + "text": "min", + "bbox_points": [ + 307.73, + 377.54, + 317.58, + 383.15 + ] + }, + { + "text": "¼", + "bbox_points": [ + 320.26, + 374.01, + 326.42, + 382.01 + ] + }, + { + "text": "1", + "bbox_points": [ + 328.65, + 374.29, + 333.06, + 382.31 + ] + }, + { + "text": "min", + "bbox_points": [ + 336.59, + 374.29, + 350.66, + 382.31 + ] + }, + { + "text": "DT,", + "bbox_points": [ + 384.89, + 374.13, + 396.72, + 382.93 + ] + }, + { + "text": "max", + "bbox_points": [ + 397.64, + 377.32, + 408.37, + 382.93 + ] + }, + { + "text": "¼", + "bbox_points": [ + 411.08, + 373.95, + 417.24, + 381.95 + ] + }, + { + "text": "1", + "bbox_points": [ + 419.47, + 374.23, + 423.89, + 382.25 + ] + }, + { + "text": "min", + "bbox_points": [ + 427.41, + 374.23, + 441.48, + 382.25 + ] + }, + { + "text": "DT,ref", + "bbox_points": [ + 480.08, + 374.13, + 498.72, + 383.21 + ] + }, + { + "text": "¼", + "bbox_points": [ + 501.62, + 373.95, + 507.78, + 381.95 + ] + }, + { + "text": "1", + "bbox_points": [ + 510.01, + 374.23, + 514.43, + 382.25 + ] + }, + { + "text": "min", + "bbox_points": [ + 517.95, + 374.23, + 532.02, + 382.25 + ] + } + ] + }, + { + "text": "Volumeb VT, min ¼ 1 L VT, max ¼ 2 L VT,ref ¼ 1 L", + "bbox_points": [ + 130.4, + 383.76, + 520.89, + 394.15 + ], + "words": [ + { + "text": "Volumeb", + "bbox_points": [ + 130.4, + 383.76, + 161.94, + 393.3 + ] + }, + { + "text": "VT,", + "bbox_points": [ + 294.97, + 385.19, + 305.73, + 394.15 + ] + }, + { + "text": "min", + "bbox_points": [ + 306.65, + 388.54, + 316.5, + 394.15 + ] + }, + { + "text": "¼", + "bbox_points": [ + 319.18, + 385.01, + 325.34, + 393.01 + ] + }, + { + "text": "1", + "bbox_points": [ + 327.57, + 385.29, + 331.99, + 393.3 + ] + }, + { + "text": "L", + "bbox_points": [ + 334.2, + 385.29, + 339.53, + 393.3 + ] + }, + { + "text": "VT,", + "bbox_points": [ + 384.89, + 384.85, + 395.64, + 393.59 + ] + }, + { + "text": "max", + "bbox_points": [ + 396.57, + 387.97, + 407.29, + 393.59 + ] + }, + { + "text": "¼", + "bbox_points": [ + 410.0, + 384.67, + 416.16, + 392.67 + ] + }, + { + "text": "2", + "bbox_points": [ + 418.39, + 384.95, + 422.81, + 392.96 + ] + }, + { + "text": "L", + "bbox_points": [ + 424.97, + 384.95, + 430.3, + 392.96 + ] + }, + { + "text": "VT,ref", + "bbox_points": [ + 480.08, + 384.96, + 497.59, + 393.98 + ] + }, + { + "text": "¼", + "bbox_points": [ + 500.54, + 384.78, + 506.7, + 392.78 + ] + }, + { + "text": "1", + "bbox_points": [ + 508.93, + 385.06, + 513.35, + 393.08 + ] + }, + { + "text": "L", + "bbox_points": [ + 515.56, + 385.06, + 520.89, + 393.08 + ] + } + ] + }, + { + "text": "Daily per capita frequency of useb,c – – fT,ref ¼ 14:3 u=p=d", + "bbox_points": [ + 130.4, + 394.76, + 545.48, + 405.32 + ], + "words": [ + { + "text": "Daily", + "bbox_points": [ + 130.4, + 396.29, + 149.79, + 404.3 + ] + }, + { + "text": "per", + "bbox_points": [ + 152.17, + 396.29, + 163.9, + 404.3 + ] + }, + { + "text": "capita", + "bbox_points": [ + 166.11, + 396.29, + 187.91, + 404.3 + ] + }, + { + "text": "frequency", + "bbox_points": [ + 190.09, + 396.29, + 225.33, + 404.3 + ] + }, + { + "text": "of", + "bbox_points": [ + 227.45, + 396.29, + 234.52, + 404.3 + ] + }, + { + "text": "useb,c", + "bbox_points": [ + 236.92, + 394.76, + 256.64, + 404.3 + ] + }, + { + "text": "–", + "bbox_points": [ + 294.97, + 396.01, + 298.97, + 404.01 + ] + }, + { + "text": "–", + "bbox_points": [ + 384.89, + 396.01, + 388.89, + 404.01 + ] + }, + { + "text": "fT,ref", + "bbox_points": [ + 480.07, + 396.3, + 494.64, + 405.32 + ] + }, + { + "text": "¼", + "bbox_points": [ + 497.54, + 396.12, + 503.7, + 404.12 + ] + }, + { + "text": "14:3", + "bbox_points": [ + 505.93, + 396.12, + 521.28, + 404.42 + ] + }, + { + "text": "u=p=d", + "bbox_points": [ + 523.5, + 396.12, + 545.48, + 404.3 + ] + } + ] + }, + { + "text": "aParameter values derived from fixture technical handbooks", + "bbox_points": [ + 43.43, + 412.02, + 207.39, + 419.29 + ], + "words": [ + { + "text": "aParameter", + "bbox_points": [ + 43.43, + 412.02, + 73.96, + 419.29 + ] + }, + { + "text": "values", + "bbox_points": [ + 75.97, + 413.29, + 93.21, + 419.29 + ] + }, + { + "text": "derived", + "bbox_points": [ + 95.19, + 413.29, + 115.29, + 419.29 + ] + }, + { + "text": "from", + "bbox_points": [ + 117.24, + 413.29, + 130.04, + 419.29 + ] + }, + { + "text": "fixture", + "bbox_points": [ + 131.98, + 413.25, + 149.32, + 419.29 + ] + }, + { + "text": "technical", + "bbox_points": [ + 151.26, + 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software guide diff --git a/Figures/Mehri et al. - 2024 - A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density reside/table_02.jpg b/Figures/Mehri et al. - 2024 - A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density reside/table_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7324e274f445b0609970d837af919884c5b2d0e5 --- /dev/null +++ b/Figures/Mehri et al. - 2024 - A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density reside/table_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:29d5a3f1dd0ac7d00ab8a28fb2b83095de76d8e4ee88854ef14a6651849e747c +size 165338 diff --git a/Figures/Mehri et al. - 2024 - A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density reside/table_02.json b/Figures/Mehri et al. - 2024 - A fuzzy TOPSIS-based approach for prioritizing low-impact 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"text": "– previous follow-up rates from the municipality to solve the problems with flooding of passages", + "bbox_points": [ + 186.63, + 537.28, + 531.59, + 545.58 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 186.63, + 537.28, + 190.63, + 545.28 + ] + }, + { + "text": "previous", + "bbox_points": [ + 193.04, + 537.56, + 223.55, + 545.58 + ] + }, + { + "text": "follow-up", + "bbox_points": [ + 225.92, + 537.56, + 259.58, + 545.58 + ] + }, + { + "text": "rates", + "bbox_points": [ + 261.98, + 537.56, + 278.86, + 545.58 + ] + }, + { + "text": "from", + "bbox_points": [ + 281.25, + 537.56, + 298.27, + 545.58 + ] + }, + { + "text": "the", + "bbox_points": [ + 300.64, + 537.56, + 311.96, + 545.58 + ] + }, + { + "text": "municipality", + "bbox_points": [ + 314.36, + 537.56, + 359.21, + 545.58 + ] + }, + { + "text": "to", + "bbox_points": [ + 361.59, + 537.56, + 368.74, + 545.58 + ] + }, + { + "text": "solve", + "bbox_points": [ + 371.17, + 537.56, + 389.34, + 545.58 + ] + }, + { + "text": "the", + "bbox_points": [ + 391.75, + 537.56, + 403.07, + 545.58 + ] + }, + { + "text": "problems", + "bbox_points": [ + 405.47, + 537.56, + 438.66, + 545.58 + ] + }, + { + "text": "with", + "bbox_points": [ + 441.01, + 537.56, + 456.99, + 545.58 + ] + }, + { + "text": "flooding", + "bbox_points": [ + 459.33, + 537.28, + 488.89, + 545.58 + ] + }, + { + "text": "of", + "bbox_points": [ + 491.24, + 537.56, + 498.32, + 545.58 + ] + }, + { + "text": "passages", + "bbox_points": [ + 500.71, + 537.56, + 531.59, + 545.58 + ] + } + ] + }, + { + "text": "• Economic info:", + "bbox_points": [ + 168.89, + 545.08, + 232.13, + 557.08 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 168.89, + 545.08, + 172.63, + 557.08 + ] + }, + { + "text": "Economic", + "bbox_points": [ + 176.66, + 548.11, + 213.37, + 556.13 + ] + }, + { + "text": "info:", + "bbox_points": [ + 215.66, + 548.11, + 232.13, + 556.13 + ] + } + ] + }, + { + "text": "– average revenues;", + "bbox_points": [ + 186.63, + 557.81, + 256.44, + 566.1 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 186.63, + 557.81, + 190.63, + 565.81 + ] + }, + { + "text": "average", + "bbox_points": [ + 193.04, + 558.09, + 220.17, + 566.1 + ] + }, + { + "text": "revenues;", + "bbox_points": [ + 222.52, + 558.09, + 256.44, + 566.1 + ] + } + ] + }, + { + "text": "– amount of annual and total economic damages to their building due to flooding of passages;", + "bbox_points": [ + 186.63, + 568.3, + 524.9, + 576.59 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 186.63, + 568.3, + 190.63, + 576.3 + ] + }, + { + "text": "amount", + "bbox_points": [ + 193.04, + 568.58, + 220.67, + 576.59 + ] + }, + { + "text": "of", + "bbox_points": [ + 223.03, + 568.58, + 230.1, + 576.59 + ] + }, + { + "text": "annual", + "bbox_points": [ + 232.5, + 568.58, + 257.21, + 576.59 + ] + }, + { + "text": "and", + "bbox_points": [ + 259.54, + 568.58, + 273.02, + 576.59 + ] + }, + { + "text": "total", + "bbox_points": [ + 275.42, + 568.58, + 291.63, + 576.59 + ] + }, + { + "text": "economic", + "bbox_points": [ + 294.01, + 568.58, + 329.14, + 576.59 + ] + }, + { + "text": "damages", + "bbox_points": [ + 331.54, + 568.58, + 362.76, + 576.59 + ] + }, + { + "text": "to", + "bbox_points": [ + 364.93, + 568.58, + 372.09, + 576.59 + ] + }, + { + "text": "their", + "bbox_points": [ + 374.46, + 568.58, + 391.27, + 576.59 + ] + }, + { + "text": "building", + "bbox_points": [ + 393.68, + 568.58, + 422.97, + 576.59 + ] + }, + { + "text": "due", + "bbox_points": [ + 425.31, + 568.58, + 438.46, + 576.59 + ] + }, + { + "text": "to", + "bbox_points": [ + 440.85, + 568.58, + 448.0, + 576.59 + ] + }, + { + "text": "flooding", + "bbox_points": [ + 450.37, + 568.3, + 479.87, + 576.59 + ] + }, + { + "text": "of", + "bbox_points": [ + 482.23, + 568.58, + 489.3, + 576.59 + ] + }, + { + "text": "passages;", + "bbox_points": [ + 491.7, + 568.58, + 524.9, + 576.59 + ] + } + ] + }, + { + "text": "– costs of flooded areas for their properties;", + "bbox_points": [ + 186.63, + 578.78, + 343.14, + 587.08 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 186.63, + 578.78, + 190.63, + 586.78 + ] + }, + { + "text": "costs", + "bbox_points": [ + 193.04, + 579.06, + 210.68, + 587.08 + ] + }, + { + "text": "of", + "bbox_points": [ + 213.05, + 579.06, + 220.12, + 587.08 + ] + }, + { + "text": "flooded", + "bbox_points": [ + 222.52, + 578.78, + 249.53, + 587.08 + ] + }, + { + "text": "areas", + "bbox_points": [ + 251.89, + 579.06, + 270.52, + 587.08 + ] + }, + { + "text": "for", + "bbox_points": [ + 272.92, + 579.06, + 283.15, + 587.08 + ] + }, + { + "text": "their", + "bbox_points": [ + 285.51, + 579.06, + 302.31, + 587.08 + ] + }, + { + "text": "properties;", + "bbox_points": [ + 304.72, + 579.06, + 343.14, + 587.08 + ] + } + ] + }, + { + "text": "– level of financial participation in the implementation of the lids in their building", + "bbox_points": [ + 186.63, + 589.33, + 481.51, + 597.62 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 186.63, + 589.33, + 190.63, + 597.33 + ] + }, + { + "text": "level", + "bbox_points": [ + 193.04, + 589.61, + 209.69, + 597.62 + ] + }, + { + "text": "of", + "bbox_points": [ + 212.03, + 589.61, + 219.1, + 597.62 + ] + }, + { + "text": "financial", + "bbox_points": [ + 221.5, + 589.33, + 252.73, + 597.62 + ] + }, + { + "text": "participation", + "bbox_points": [ + 255.06, + 589.61, + 300.92, + 597.62 + ] + }, + { + "text": "in", + "bbox_points": [ + 303.31, + 589.61, + 310.38, + 597.62 + ] + }, + { + "text": "the", + "bbox_points": [ + 312.78, + 589.61, + 324.1, + 597.62 + ] + }, + { + "text": "implementation", + "bbox_points": [ + 326.5, + 589.61, + 383.13, + 597.62 + ] + }, + { + "text": "of", + "bbox_points": [ + 385.51, + 589.61, + 392.59, + 597.62 + ] + }, + { + "text": "the", + "bbox_points": [ + 394.98, + 589.61, + 406.3, + 597.62 + ] + }, + { + "text": "lids", + "bbox_points": [ + 408.7, + 589.61, + 421.26, + 597.62 + ] + }, + { + "text": "in", + "bbox_points": [ + 423.61, + 589.61, + 430.68, + 597.62 + ] + }, + { + "text": "their", + "bbox_points": [ + 433.08, + 589.61, + 449.89, + 597.62 + ] + }, + { + "text": "building", + "bbox_points": [ + 452.3, + 589.61, + 481.51, + 597.62 + ] + } + ] + }, + { + "text": "Level Level III: Acquiring information from the municipality", + "bbox_points": [ + 129.88, + 614.07, + 373.28, + 622.07 + ], + "words": [ + { + "text": "Level", + "bbox_points": [ + 129.88, + 614.07, + 149.86, + 622.07 + ] + }, + { + "text": "Level", + "bbox_points": [ + 169.12, + 614.07, + 189.09, + 622.07 + ] + }, + { + "text": "III:", + "bbox_points": [ + 191.45, + 614.07, + 203.26, + 622.07 + ] + }, + { + "text": "Acquiring", + "bbox_points": [ + 205.68, + 614.07, + 243.07, + 622.07 + ] + }, + { + "text": "information", + "bbox_points": [ + 245.37, + 614.07, + 289.61, + 622.07 + ] + }, + { + "text": "from", + "bbox_points": [ + 291.97, + 614.07, + 309.6, + 622.07 + ] + }, + { + "text": "the", + "bbox_points": [ + 311.98, + 614.07, + 323.89, + 622.07 + ] + }, + { + "text": "municipality", + "bbox_points": [ + 326.27, + 614.07, + 373.28, + 622.07 + ] + } + ] + }, + { + "text": "III • EPA-SWMM model’s requirements:", + "bbox_points": [ + 137.88, + 621.11, + 305.15, + 633.11 + ], + "words": [ + { + "text": "III", + "bbox_points": [ + 137.88, + 624.56, + 147.36, + 632.56 + ] + }, + { + "text": "•", + "bbox_points": [ + 168.89, + 621.11, + 172.63, + 633.11 + ] + }, + { + "text": "EPA-SWMM", + "bbox_points": [ + 176.66, + 624.08, + 223.52, + 632.09 + ] + }, + { + "text": "model’s", + "bbox_points": [ + 225.92, + 623.8, + 253.46, + 632.09 + ] + }, + { + "text": "requirements:", + "bbox_points": [ + 255.86, + 624.08, + 305.15, + 632.09 + ] + } + ] + }, + { + "text": "– study area’s land use and cadaster maps to extract property’s metes-and-bounds of the sub-catchments;", + "bbox_points": [ + 186.63, + 634.29, + 560.41, + 642.58 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 186.63, + 634.29, + 190.63, + 642.29 + ] + }, + { + "text": "study", + "bbox_points": [ + 193.04, + 634.57, + 211.94, + 642.58 + ] + }, + { + "text": "area’s", + "bbox_points": [ + 214.13, + 634.29, + 234.58, + 642.58 + ] + }, + { + "text": "land", + "bbox_points": [ + 236.98, + 634.57, + 252.78, + 642.58 + ] + }, + { + "text": "use", + "bbox_points": [ + 255.12, + 634.57, + 267.02, + 642.58 + ] + }, + { + "text": "and", + "bbox_points": [ + 269.4, + 634.57, + 282.88, + 642.58 + ] + }, + { + "text": "cadaster", + "bbox_points": [ + 285.28, + 634.57, + 315.03, + 642.58 + ] + }, + { + "text": "maps", + "bbox_points": [ + 317.42, + 634.57, + 336.49, + 642.58 + ] + }, + { + "text": "to", + "bbox_points": [ + 338.68, + 634.57, + 345.84, + 642.58 + ] + }, + { + "text": "extract", + "bbox_points": [ + 348.21, + 634.57, + 372.3, + 642.58 + ] + }, + { + "text": "property’s", + "bbox_points": [ + 374.74, + 634.29, + 410.27, + 642.58 + ] + }, + { + "text": "metes-and-bounds", + "bbox_points": [ + 412.67, + 634.57, + 477.32, + 642.58 + ] + }, + { + "text": "of", + "bbox_points": [ + 479.68, + 634.57, + 486.75, + 642.58 + ] + }, + { + "text": "the", + "bbox_points": [ + 489.15, + 634.57, + 500.47, + 642.58 + ] + }, + { + "text": "sub-catchments;", + "bbox_points": [ + 502.87, + 634.57, + 560.41, + 642.58 + ] + } + ] + }, + { + "text": "– topographic map; and climatology and hydrological data;", + "bbox_points": [ + 186.63, + 644.83, + 399.0, + 653.13 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 186.63, + 644.83, + 190.63, + 652.83 + ] + }, + { + "text": "topographic", + "bbox_points": [ + 193.04, + 645.11, + 236.09, + 653.13 + ] + }, + { + "text": "map;", + "bbox_points": [ + 238.45, + 645.11, + 256.51, + 653.13 + ] + }, + { + "text": "and", + "bbox_points": [ + 258.92, + 645.11, + 272.4, + 653.13 + ] + }, + { + "text": "climatology", + "bbox_points": [ + 274.73, + 645.11, + 316.41, + 653.13 + ] + }, + { + "text": "and", + "bbox_points": [ + 318.61, + 645.11, + 332.09, + 653.13 + ] + }, + { + "text": "hydrological", + "bbox_points": [ + 334.43, + 645.11, + 379.06, + 653.13 + ] + }, + { + "text": "data;", + "bbox_points": [ + 381.37, + 645.11, + 399.0, + 653.13 + ] + } + ] + }, + { + "text": "– study area info such as soil type, slope, and other details", + "bbox_points": [ + 186.63, + 655.32, + 395.43, + 663.61 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 186.63, + 655.32, + 190.63, + 663.32 + ] + }, + { + "text": "study", + "bbox_points": [ + 193.04, + 655.6, + 211.94, + 663.61 + ] + }, + { + "text": "area", + "bbox_points": [ + 214.13, + 655.6, + 229.43, + 663.61 + ] + }, + { + "text": "info", + "bbox_points": [ + 231.82, + 655.6, + 245.96, + 663.61 + ] + }, + { + "text": "such", + "bbox_points": [ + 248.32, + 655.6, + 264.96, + 663.61 + ] + }, + { + "text": "as", + "bbox_points": [ + 267.36, + 655.6, + 274.85, + 663.61 + ] + }, + { + "text": "soil", + "bbox_points": [ + 277.23, + 655.6, + 289.79, + 663.61 + ] + }, + { + "text": "type,", + "bbox_points": [ + 292.2, + 655.6, + 309.35, + 663.61 + ] + }, + { + "text": "slope,", + "bbox_points": [ + 311.7, + 655.6, + 332.51, + 663.61 + ] + }, + { + "text": "and", + "bbox_points": [ + 334.83, + 655.6, + 348.31, + 663.61 + ] + }, + { + "text": "other", + "bbox_points": [ + 350.7, + 655.6, + 369.76, + 663.61 + ] + }, + { + "text": "details", + "bbox_points": [ + 372.13, + 655.6, + 395.43, + 663.61 + ] + } + ] + }, + { + "text": "• Stormwater collecting system data:", + "bbox_points": [ + 168.89, + 663.12, + 301.66, + 675.12 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 168.89, + 663.12, + 172.63, + 675.12 + ] + }, + { + "text": "Stormwater", + "bbox_points": [ + 176.66, + 666.09, + 218.54, + 674.1 + ] + }, + { + "text": "collecting", + "bbox_points": [ + 220.76, + 666.09, + 255.55, + 674.1 + ] + }, + { + "text": "system", + "bbox_points": [ + 257.95, + 666.09, + 281.68, + 674.1 + ] + }, + { + "text": "data:", + "bbox_points": [ + 284.03, + 666.09, + 301.66, + 674.1 + ] + } + ] + }, + { + "text": "– the drainage network maps in AutoCAD format", + "bbox_points": [ + 186.63, + 675.79, + 365.18, + 684.08 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 186.63, + 675.79, + 190.63, + 683.79 + ] + }, + { + "text": "the", + "bbox_points": [ + 193.04, + 676.07, + 204.36, + 684.08 + ] + }, + { + "text": "drainage", + "bbox_points": [ + 206.76, + 676.07, + 237.69, + 684.08 + ] + }, + { + "text": "network", + "bbox_points": [ + 240.04, + 676.07, + 270.0, + 684.08 + ] + }, + { + "text": "maps", + "bbox_points": [ + 272.35, + 676.07, + 291.42, + 684.08 + ] + }, + { + "text": "in", + "bbox_points": [ + 293.78, + 676.07, + 300.86, + 684.08 + ] + }, + { + "text": "AutoCAD", + "bbox_points": [ + 303.25, + 676.07, + 339.07, + 684.08 + ] + }, + { + "text": "format", + "bbox_points": [ + 341.41, + 676.07, + 365.18, + 684.08 + ] + } + ] + }, + { + "text": "– rainfall data", + "bbox_points": [ + 186.63, + 686.33, + 236.23, + 694.63 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 186.63, + 686.33, + 190.63, + 694.33 + ] + }, + { + "text": "rainfall", + "bbox_points": [ + 193.04, + 686.61, + 218.59, + 694.63 + ] + }, + { + "text": "data", + "bbox_points": [ + 220.93, + 686.61, + 236.23, + 694.63 + ] + } + ] + }, + { + "text": "– measured runoff information during the rainfall events", + "bbox_points": [ + 186.63, + 696.82, + 389.22, + 705.11 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 186.63, + 696.82, + 190.63, + 704.82 + ] + }, + { + "text": "measured", + "bbox_points": [ + 193.04, + 697.1, + 227.64, + 705.11 + ] + }, + { + "text": "runoff", + "bbox_points": [ + 230.0, + 697.1, + 252.05, + 705.11 + ] + }, + { + "text": "information", + "bbox_points": [ + 254.38, + 697.1, + 296.9, + 705.11 + ] + }, + { + "text": "during", + "bbox_points": [ + 299.28, + 697.1, + 322.67, + 705.11 + ] + }, + { + "text": "the", + "bbox_points": [ + 325.02, + 697.1, + 336.34, + 705.11 + ] + }, + { + "text": "rainfall", 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et al. - 2024 - A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density reside/table_09.txt b/Figures/Mehri et al. - 2024 - A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density reside/table_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..9ab4d76ef06bd0f131260aad6784225a43b45c5c --- /dev/null +++ b/Figures/Mehri et al. - 2024 - A fuzzy TOPSIS-based approach for prioritizing low-impact development methods in high-density reside/table_09.txt @@ -0,0 +1 @@ +Comparing the similar studies conducted in Tehran metropolis diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_01.jpg b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2f202ecd47bfd5e05392ddcf8759730c70c2e8f1 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:99cab34dd4343e6d77f42176920d0fd2244194f6ab8b29a6a938f286c2827b98 +size 182538 diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_01.txt b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..86fe744589ee330f0dc0c7f48f19803fbc325f51 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_01.txt @@ -0,0 +1 @@ +Location of UGRB within Brazilian territory; digital elevation model, drainage area for Grande River (GRA), Aiuruoca River (AIU), and Capivari River (CAP) basins, main water channels, meteorological and precipitation gauge stations (a); land use (b); soil classes (c); and topographic environments determined using the Height Above the Nearest Drainage (HAND) algorithm. diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_02.jpg b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a3cc53fd25fc65d07da6b320f3c78f091bc18f9b --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cc56a4a90e66f96763cc521dd26d87f63c89eae845007b143352ecd7a431bce6 +size 84889 diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_02.txt b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5b07952bbc11adf02cb5680bc6050d0d180c702 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_02.txt @@ -0,0 +1 @@ +Variation of the solutions found in the Pareto front for each parameter in each basin (x-axis). diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_03.jpg b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..05acf3c2096b5edcd5980f88d666173f1f6b9102 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7cbf1926c58525dfd92c4a35250f04948ede2db23e90813f24ab70641cb75ef1 +size 15325 diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_03.txt b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..26144793beb1cbfbf7e691188a9b0b35d5220a67 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_03.txt @@ -0,0 +1 @@ +Variation of the NSE and lNSE objective functions for the Pareto front individuals in each watershed during the calibration period. diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_04.jpg b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..514c8716bb26c91167034e2bcff3816a8d36f4dd --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:47877e32b0cbe61629b547c687d0af4a67e91b5ce0c33bf14590d2565ef2b1ba +size 181925 diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_04.txt b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..fcd64a274aa9a799fd9301060224b284e3894060 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_04.txt @@ -0,0 +1 @@ +Hydrograph observed and simulated in the GRA, AIU, and CAP basins. The logarithmic scale graph in the interior represents the hydrological year 2010/2011. All Pareto front solutions are plotted as red lines, the solution with higher value for NSE as blue, and higher value for lNSE as green. diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_05.jpg b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..814b97d1293ecf075e5b32b6e92af0daa310bb5b --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6898f7db9ece0ac7746be89fe5c9d8707a17f8f71b2094bfc991a0ebd1aea9c5 +size 44593 diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_05.txt b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..57eb9e0faa2fd5e0945fae125b733a3f2ddd0d59 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_05.txt @@ -0,0 +1 @@ +Percentage variation of the MWH, MWL, and QSM indicators of the flow direction curve and seasonality (SEASON) of the simulations compared to the observed runoff data. diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_06.jpg b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f48dd746b9768913a5d23fd0b40673b111890ad3 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:73c6095483bb5b0213bc9d50c70d2a149a12621c94801eeea8e6244019e1ee17 +size 68464 diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_06.txt b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a0fea246ee1aebbd662c516b9a2f5b9afff80ac --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_06.txt @@ -0,0 +1 @@ +Long-term runoff observed and estimated by the Budyko (red) method and MHD-INPE. The x-axis is represented by the center of the 15-year moving average. All Pareto front solutions are plotted in grey lines, the solution with higher value for NSE as blue, and higher value for lNSE as green. diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_07.jpg b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f70af51e0025f7a8ab8b700cb93f7657259dcd07 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e13ce946fb48edcfe787810b3303a38b06d3d75cb374c5f1bf75572200927989 +size 136271 diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_07.txt b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6623988037aaaf63eacbfb8a50e55716dc11656 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_07.txt @@ -0,0 +1 @@ +Simulated runoff (MHD-INPE) for historical, RCP4.5, and RCP8.5 scenarios in the Pareto front solutions for GRA, AIU, and CAP basins. Each line represents a Pareto front solution, and colors represent different climate models. diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_08.jpg b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f3da1148e318042ef8450f6c48ebffa02570df97 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c9636558179c28ce3a385d1ae79161b6291bcfa3b4e31f14a8b2e8ff113c3c83 +size 131633 diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_08.txt b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..a65a651807620e86ac5be246b5dd759719240652 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_08.txt @@ -0,0 +1 @@ +Long-term runoff estimated for the RCP4.5 (left) and RCP8.5 (right) climate scenarios by the Budyko (red) and MHD-INPE methods (with the calibration of higher NSE – blue; and higher lNSE – green). The colored area represents the minimum and maximum values estimated by the climate models ensemble and the solid line represents its median. diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_09.jpg b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8a0f9f2ed151e690b079bfdeb7738c46525c43d4 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ea378cd9d3c346071f7e75432e06ff724b8b4c154e9f11f0f0dca8413e4bef36 +size 120926 diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_09.txt b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..1968cbd7f4e9ec082d13275504b2f189e88692e6 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/figure_09.txt @@ -0,0 +1 @@ +Scatter plot showing the dispersion of the difference in runoff from Budyko and MHD-INPE (DQ) with the annual average pre- cipitation (left) and aridity index (right). diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/graphic_abstract.jpg b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6fc36a41efddb9467eadc6bff84ac7ea16fa39b9 --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1b0d92e9ec243d257ed46f1e845198562f2a16a5220f009086e7772f7987c1bf +size 141821 diff --git a/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/manifest.json b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..616a7ca691ee538b8c067bbe3922ea4bd5819a3d --- /dev/null +++ b/Figures/Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro/manifest.json @@ -0,0 +1,374 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Melo et al. - 2024 - Uncertainty analysis on long-term runoff projection from the Budyko framework and a conceptual hydro.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 13, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 58.01, + 84.99, + 555.98, + 379.78 + ], + "caption_bbox_points": [ + 64.01, + 79.48, + 151.73, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 141821, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_01", + "page": 3, + "caption": "Applicability of Budyko framework in hydrological studies worldwide", + "image": "table_01.jpg", + "caption_file": "table_01.txt", + "figure_bbox_points": [ + 40.43, + 85.16, + 548.44, + 241.5 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 329.08, + 85.16 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 74472, + "jpeg_quality": 88, + "data_file": "table_01.json", + "structure_extracted": false, + "row_count": 11, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 4, + "caption": "Location of UGRB within Brazilian territory; 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compared to the calibrations in the MHD-INPE with higher NSE and diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_01.jpg b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..71d252c2398d9a876cc8128cbef3fd75e3ed9860 --- /dev/null +++ b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5306b48528fe9c09f632df188e6a96bf26ae7555f7861d5f3cd67d04379507a0 +size 183704 diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_01.txt b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..d21fa48e6104974255b8a16dc5a07851d00d47e7 --- /dev/null +++ b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_01.txt @@ -0,0 +1 @@ +(a) Bathymetric map of Lake Erie highlighting significant features, including NDBC meteorological and water temperature stations, ERA5 grid points, and the deployment site of the ADCP. (b) Bathymetric map of Cleveland Harbor displaying the numerical mesh, the Cuyahoga River mouth, and the sampling area within the harbor. (c) Close-up view of the river mouth and the primary opening of the harbor. diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_02.jpg b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d273853716d025f8d8b85824df667848e4433a7b --- /dev/null +++ b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ea5092821a485d03445df7b648a136297e917bbe05459fbdf78fc5d93c0db648 +size 114713 diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_02.txt b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..f635c848e5b1a8f943c40411b8f04f0677bde86c --- /dev/null +++ b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_02.txt @@ -0,0 +1 @@ +The flowchart of (a) physical (mechanistic) modeling, (b) remote sensing, and (c) machine learning used in this research. diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_03.jpg b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..67792850a69ea206d26e5eeb5470c1d5bdbb29f6 --- /dev/null +++ b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4e1f40cc98169dfb289b75a5ed6d681e489c77610c0789bb5fa9fd54a4873f49 +size 140176 diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_03.txt b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..a37fcf1632d73c96fdc0a58c3bd5798d68785689 --- /dev/null +++ b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_03.txt @@ -0,0 +1 @@ +Processed surface reflectance data at each band (band1, band2, band3, and band4), NDTI and NDWI indexes, and turbidity data used for training and testing the ML model. diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_04.jpg b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fd9d052cf30155ee73f371c90c09644ad7214f7f --- /dev/null +++ b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:57c7ae19d20621063218bd57476989d944de13208727610bdd25813a90979407 +size 159962 diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_04.txt b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..6ed2b7ba52526ac5d1824bb65d6d80d017b152fe --- /dev/null +++ b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_04.txt @@ -0,0 +1 @@ +Scatter plots of (a) training and (b) testing data with their performance metrics. (c) Log10 turbidity values at the river mouth. The red line denotes the ML-predicted values and the blue line denotes the observed data. diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_05.jpg b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a76e695b8b4cee13abe0989e05aefda71028a5dc --- /dev/null +++ b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7b72b831d838e9e23ac67ddec607334c6217451bedc3f2902f2de0f757a63bab +size 165784 diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_05.txt b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..4071a5cd2cae4851d297d915ecdbf58434a7baad --- /dev/null +++ b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_05.txt @@ -0,0 +1 @@ +Comparison between the vertically averaged simulated and observed (a) eastward and (b) northward components of velocity at the location of the ADCP deployment. Comparison between the simulated and observed (c, d) water surface temperature at the NDBC buoys. diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_06.jpg b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c8e581fecd878520834a1232e01fdbde5aa3afe0 --- /dev/null +++ b/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:84ce8e762deb763e617fdd7b58b6fbf5452c785f158e49cecb3f2d3938b0d56b +size 182290 diff --git a/Figures/Memari et al. - 2024 - Turbidity assessment in coastal regions combining machine learning, numerical modeling, and remote s/figure_06.txt b/Figures/Memari et al. - 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706.17, + 519.47, + 714.19 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Mena et al. - 2024 - Streamflow simulation at different temporal scales under rating curve uncertainty conditions using m/table_05.txt b/Figures/Mena et al. - 2024 - Streamflow simulation at different temporal scales under rating curve uncertainty conditions using m/table_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..2da861046a296c562715561be4f719036576e09d --- /dev/null +++ b/Figures/Mena et al. - 2024 - Streamflow simulation at different temporal scales under rating curve uncertainty conditions using m/table_05.txt @@ -0,0 +1 @@ +Comparison of simulated peak flows for all scenarios using the BiGRU model diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_01.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..3802b5f2530ac70048e7d66a955c17cffe74493d --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bab1f55b7dc18189de8a21ee18b3b3e904ecfee28ffbab566698effa7c5c9cf2 +size 117308 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_01.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..1672169511d152da0255529ec4f386f09ce1e253 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_01.txt" @@ -0,0 +1 @@ +Dijon Metropole wastewater system including measurement locations, type and sampling rate over the three subsystems (sewer network, WRRF, and river). diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_02.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..5456c988dd8db5b53875763d7d18fe1357d169cf --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f72ff272c25bf71394f2100bb5a97ade914cffb729850ab5eae192d9dc05f9f4 +size 104017 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_02.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..1a75b3788cffc59ffa5776b15935ab2578241305 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_02.txt" @@ -0,0 +1 @@ +Dijon model (catchments with sewage production and runoff process, sewer including retention tanks and combined overflows, WRRF and the water bodies Ouche and Suzon with their hydrological catchments). diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_03.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..3636c30ca758c729965fad6435c84d87a83dc4c5 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7817130286b48b26fc9603fe24b32d165a8785a98b060ba2cc760be2dabe7f11 +size 148494 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_03.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..4d42b6dbe7699598ab19f62557f31460146879de --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_03.txt" @@ -0,0 +1 @@ +Schematic of the calibration (white background frames) and validation (grey background frames) process for the hydraulics and quality of the IUWS model. Simulated data from the detailed hydraulic model (orange frame) and monitoring data (blue frame) were considered. diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_04.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..9d9c060442d270bff4f7fd1792d614af2dc8e37f --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e328c85ba872ff1cbe3f108acbe0401a4905882191f330b840017869b7cdfcf4 +size 155654 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_04.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d4151650f49aa1dc5be9830e09652976786e9668 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_04.txt" @@ -0,0 +1 @@ +PVE and NSE indicators for calibration (blue values) and validation (orange values) of hydraulic variables (flow and water level) for each subsystem with monitoring data for the three subsystems (sewer network, WRRF and rivers) and data from the conceptual model for the sewer network. diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_05.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..1d007dd3f8ec659a43c25cdc7aea548557dd8a8e --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:32070f0e6af20d98079925b66ecb3ce71dee6cacf3d67a3b41a95edaedea9414 +size 28579 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_05.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d89e8de3905a15774a3792b46945a8f5928fc6c6 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_05.txt" @@ -0,0 +1 @@ +Flow at the Ouche river upstream the city for the validation period (year 2022). Blue lines represent the simulation values and orange dots the observed ones. diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_06.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..d117a4c27ad699e734f571bcad4001cf7fa0f82b --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:618754b9a20b0670fc4b7415d97e01af6d2b4d100d6a61d53afedf22832d14cd +size 41207 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_06.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..2a25b38ef40c6e80de7d795f2d5d6913678e8d92 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_06.txt" @@ -0,0 +1 @@ +The top figure displays the flow downstream G3 East CSO at Salengro flowmeter (validation period for the year 2022) and the second figure represents the flow discharged at G3 East CSO (validation period for the year 2022). Blue lines represent the simulation values, orange dots for the observations and the black lines for the rain volume. diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_07.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_07.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..360d38ce354bc3ea2d0ce5bcc0eefb20a5ec4200 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_07.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:32090975c15c4148f343d40128cf53fbdbf3f122a3ea37e5074f3e4c665cd755 +size 67175 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_07.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_07.txt" new file mode 100644 index 0000000000000000000000000000000000000000..38118204250dd92ed5b4baf55a702fc60724deb8 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_07.txt" @@ -0,0 +1 @@ +Flow at the WRRF entrance for the validation period (year 2022). Blue lines display the simulation values, orange dots the observed ones and the black lines represent the rain volume. diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_08.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_08.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..278a7165ec5f56a8b12aed6882548e0054d05ddd --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_08.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:086c95eb3e56858360dfe88d4f97b3f6c6860db09c9d2d8b9c55ab617c300fa4 +size 61732 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_08.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_08.txt" new file mode 100644 index 0000000000000000000000000000000000000000..164673281b6c82771c2e41fd8e2c89c3093baf71 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_08.txt" @@ -0,0 +1 @@ +COD concentration downstream G4 CSO for the validation phase (year 2022). Blue lines represent the simulation values, orange dots the observed ones and the black lines represent the rain volume. diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_09.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_09.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..82f550e17d1b83b598b3ca4572f0423f85f02567 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_09.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b9548b053cc9a8bbc3534be9f1846185edd118297d143cb3596bb605ec8e6ffa +size 56394 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_09.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_09.txt" new file mode 100644 index 0000000000000000000000000000000000000000..122eca60b1bb16bf997582062ab4726fb9a94cef --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_09.txt" @@ -0,0 +1 @@ +COD concentration upstream G10 CSO for the validation phase (year 2022). Blue lines represent the simulation values, orange dots the observed ones and the black lines represent the rain volume. diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_10.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_10.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..5c7f624b10ed58cdba707ea40da023b79a907d86 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_10.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c2725674728df2ba5d21605134b0d7dd29d68518386c5cdd65d04a67a902045c +size 77755 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_10.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_10.txt" new file mode 100644 index 0000000000000000000000000000000000000000..9513e238f43b469fab159ec8cec6d4d7900a89a2 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_10.txt" @@ -0,0 +1 @@ +DO and NH4 concentrations at Ouche river downstream the Metropole. Blue lines represent the simulation values, orange dots the observed ones and black lines represent the rain volume. Calibration results at left and validation results at right (year 2022). For the validation period, some observed data are missing due to issues with sensors and analysers. diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_11.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_11.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..abbe7bc4d740bdd8e2b6cd031911e43b5ec5cbe8 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_11.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:12df50dd5b12e17e8c53e17f28b35a4f599d3ecfd70a03ec4ca2f48c875b1b01 +size 59319 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_11.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_11.txt" new file mode 100644 index 0000000000000000000000000000000000000000..a8d4d83498dd941b3e99efd09d2a38f6c37c9b4b --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_11.txt" @@ -0,0 +1 @@ +COD concentration at the WRRF inlet and outlet for validation process (year 2022). Orange dots represent the COD observed (24 h sample) and blues lines represent the COD simulated (daily mean). diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_12.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_12.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..d2a294a4cc9445bec9e18b71f2bb00aa8c92650b --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_12.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d1b34fa640dd782867655b79e90002dc7d2ea08b8a7c98fe1c796dda25b9da86 +size 111540 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_12.txt" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_12.txt" new file mode 100644 index 0000000000000000000000000000000000000000..7c928b8d1f3afcc25d987c90d4ef95184e0d979c --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/figure_12.txt" @@ -0,0 +1 @@ +The left figure shows the results of a scenario without CSOs (pink rectangles) and another one without the WRRF discharge during wet weather at the rivers (orange circles). The right figure shows the results for the scenario where three storm tanks are added in the sewer network (pink rectangles) and another one in the WRRF entrance (orange circles). The black lozenges represent the reference scenario with absolute values for each indicator. Reducing the environmental impact is achieved when percentages are negative (scenario points reaching the green zone). diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/graphic_abstract.jpg" "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/graphic_abstract.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..7254628e00f4dbb8e19d6454e4ee9d2093852e03 --- /dev/null +++ "b/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/graphic_abstract.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c5190ff943813a7f2b1fb7fe0f6acb88131ebb76a27886c8975c8b53dc6179fd +size 182186 diff --git "a/Figures/Mendes et al. - 2024 - Modelling an urban wastewater system via a space\342\200\223time multivariate calibration to understand and imp/manifest.json" "b/Figures/Mendes et al. - 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Each condition had a four-canal modular unit with six lettuces/canal. A separate canal with the same GW but without plants was used as the abiotic control. Lettuce vector was retrieved from vecteezy.com. diff --git a/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_02.jpg b/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e7bb6eb629d88808571daaf273841d8c6a157b72 --- /dev/null +++ b/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ced8373eb1607362fd8b554f6458b1c5ccfe422a93481879210d31802469b194 +size 46793 diff --git a/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_02.txt b/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..87a952b0634c90e374b1d7041044252177c37b78 --- /dev/null +++ b/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_02.txt @@ -0,0 +1 @@ +Relation of the number of leaves with the nutrient removal (nitrate, phosphate, ammonium, and potassium: a, b, c, d, respectively) and the water loss (evaporation (evap) and transpiration (trans), e). diff --git a/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_03.jpg b/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..014a625e33273d1266d6fad1ca95b98c49ce654a --- /dev/null +++ b/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1576a61fc192e1017757353a9b6f0b1a3f8da38bf5bf5f50a50a634a5e7c0341 +size 68814 diff --git a/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_03.txt b/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c8dc20000605875ecf1fbb82e74cabe236e3fec --- /dev/null +++ b/Figures/Mendoza et al. - 2024 - From shower to table fate of organic micropollutants in hydroponic systems for greywater treatment/figure_03.txt @@ -0,0 +1 @@ +OMP removal, average per condition (a) and individual removal (b). 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process diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2020 - A 2D HLL-based weakly coupled model for transient flows on mobile beds/manifest.json" "b/Figures/Meurice and Soares-Fraz\303\243o - 2020 - A 2D HLL-based weakly coupled model for transient flows on mobile beds/manifest.json" new file mode 100644 index 0000000000000000000000000000000000000000..869bb127a0d79465253f92616d0f7753d4486f00 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2020 - A 2D HLL-based weakly coupled model for transient flows on mobile beds/manifest.json" @@ -0,0 +1,9 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Meurice and Soares-Frazão - 2020 - A 2D HLL-based weakly coupled model for transient flows on mobile beds.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 0, + "items": [] +} \ No newline at end of file diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_01.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..1438590b21e3a1c2022e111ca59ec878405f6c87 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ac9b492716f989cf784ed9e296e9a459c2cb56d347c8c7b47b5f2e37747ac40 +size 64116 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_01.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..00cab5cef27a515d1d872e33b8d3e00b70877998 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_01.txt" @@ -0,0 +1 @@ +Schematic representation of the 2P2L model and its associated quantities. diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_02.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..9bbb3b59ad6dc4b1581c54501cf13d6d1612200a --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d9e038df0fb03375e157a1f0a9459e6189d836af54947223a5a818c1982078a +size 47925 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_02.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..a842e034cb0456c06426ff8e29d10d9ed3de9964 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_02.txt" @@ -0,0 +1 @@ +Sketch of the numerical experiment’s configuration. Point A corresponds to the pivot point of the erodible material. qin (qout) and qs,in (qs,out) correspond to the input (output) water and sediment discharges, respectively. diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_03.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..91bca6bd3df92b38da72de5dbf2356630b074f26 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7422e22980575d0de8c1b3138d73b0dba28edf910d2efa50b4b352921fa00603 +size 31713 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_03.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d8492a7ebc3b00967b9e805948ec9d4745ef7fba --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_03.txt" @@ -0,0 +1 @@ +Example of two different situations S1 (blue) and S2 (red) with the same expected slope S0,exp (black) leading to two optimal parameter values with their associated equilibrium slope S0,eq. Situation S2 will have more weight on the CM than situation S1 because its equilibrium slope S0,eq is closer to S0,exp. diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_04.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..f7da42edddb1b3cd293eec84edd0c9059fb6b998 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:26b23c68db27623e79625bb08d2eef6aa85b740bf89cb24549bdfd7b488f1477 +size 81170 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_04.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..a7559cd9ccb0fc6f875aa81486373fbbe8ab3df0 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_04.txt" @@ -0,0 +1 @@ +Procedure followed to close models’ parameters. The blue boxes correspond to steps performed with the help of JMP®. These operations could yet be achieved with any other method. White boxes correspond to manual operations while green boxes refer to 2P2L simulations. Red arrows indicate that some situations were excluded from the analysis for they did not deliver relevant results. diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_05.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..c847ae8f14af420d04cb0f62e77f99894b4629e6 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9d2c1ab69d978afe05114689208534bbb369b0d0fe35b26f2f8df673cd954228 +size 39647 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_05.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..16aae364db5ee0ad695a60cdd000f2b92aa5e60d --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_05.txt" @@ -0,0 +1 @@ +Comparison between (a) ms,opt and ms,CZ and (b) ms,opt and ms,CM. The wider the circle, the heavier the situation. The smallest circle corresponds to w ¼ 0:67 and the largest to w ¼ 3:28  108. diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_06.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..3100a7cc82e6e9610a88b59b50554854b6e6fab3 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0eb6a59f351915b55ddea5707023fd6a91874bb900d10e2c6278cdf9e2f09432 +size 20195 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_06.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..c843a73a93b33fa78abb1ac1d3904e34a9516567 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_06.txt" @@ -0,0 +1 @@ +Comparison between md,opt and md,CM: The wider the circle, the heavier the situation. The smallest circle corresponds to w ¼ 2:52 and the largest to w ¼ 3:56  108: diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_07.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_07.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..b6acd7978808b502553e983ff94756a243e92252 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_07.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:27ba50acdaf2b01f662ce0c3fb9eca24bfa289753f3028a499c4b24ab2cbd96c +size 13170 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_07.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_07.txt" new file mode 100644 index 0000000000000000000000000000000000000000..fdce35e0a797d4c8ee718c49ef64747dfef675ea --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_07.txt" @@ -0,0 +1 @@ +Initial configuration of the 1D dam break test case as described by Spinewine & Zech (2007). diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_08.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_08.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..785aa696b848d5ed95cdee4f933c1f23d995812c --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_08.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b7682412984e06d5ca5170dcaa9307d3c6e14dcaaba2aa8c3257cc6a2eb90fc5 +size 124004 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_08.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_08.txt" new file mode 100644 index 0000000000000000000000000000000000000000..c70329f012799f6490c3735e755dd67df2d89eb0 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_08.txt" @@ -0,0 +1 @@ +Application of the 2P2L model with constant (fs, fd) couples to the 1D dam break. Results obtained at t ¼ 1:25 s:. diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_09.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_09.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..ebc3bfa01aa6552c5e36844c865a193c9d48b9cb --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_09.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:801fc03b1f2ffd8ef986b55ec237c63a5b69b4d71403a66f4349778b7a37d323 +size 98294 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_09.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_09.txt" new file mode 100644 index 0000000000000000000000000000000000000000..c757eadd5cf070c4e33cb16cb99c856b128aa402 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_09.txt" @@ -0,0 +1 @@ +Comparison between the experimental and numerical estimations of the different interfaces of the 2P2L for the 1D dam break. diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_10.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_10.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..0d965400faad2527b2ca7749b2a4c0925218d2a9 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_10.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2944c9de22c912552296afd63c25e65cedb4b5e38225a2c5d4d481e91969475c +size 74597 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_10.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_10.txt" new file mode 100644 index 0000000000000000000000000000000000000000..dfc8507481adb56f40c05f25f19987777a445d75 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_10.txt" @@ -0,0 +1 @@ +Spatio-temporal evolution of the friction coefficients and their difference along the centreline of the flume. diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_11.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_11.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..57b730874d33db4d6ac0a6a69f7de812106bfce9 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_11.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c9a7611b58c7b1e51cfc30319f42c7a6b0f9a8e0dccef2210f1b7d1f35c4e1de +size 40914 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_11.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_11.txt" new file mode 100644 index 0000000000000000000000000000000000000000..8e409559d9a72ee6a5e0e90e436fb8ee1482506c --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_11.txt" @@ -0,0 +1 @@ +Comparison between the numerical estimation of Cs,low and the experimental concentration values for the 1D dam break. The experimental measurements correspond to one or two runs, depending on the profiles’ locations. When two runs are concerned, the boundary values of concentration are plotted in black while the range between these boundaries is plotted in light grey. A single run is represented in black. The concentration values C are added to the position x of the vertical profile they correspond to, which is indicated by the vertical dashes. The coefficient 0.1 is arbitrary and chosen for readability reasons. diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_12.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_12.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..dffc06eb84f7948dcc528760745ee55f0643e472 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_12.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0daa92770811bf8fe82b3270d7462899d7c73fd688dbd6771960fcdd79934bed +size 66796 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_12.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_12.txt" new file mode 100644 index 0000000000000000000000000000000000000000..628d340c498f3131edaf93238640175c5384b930 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_12.txt" @@ -0,0 +1 @@ +Description of the experimental flume of the 2D dam break, with the courtesy of Soares-Frazão et al. (2012). diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_13.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_13.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..b5c3223cb5564ea3a2942c79197f5cbcc8deda7d --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_13.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:681836101052170b31e4a660f9ca5fb960fa4343bffa30779239a0b82af4d76b +size 29496 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_13.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_13.txt" new file mode 100644 index 0000000000000000000000000000000000000000..de415201a7c6b8d045fa851e4b2f7cebf73cf8ff --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_13.txt" @@ -0,0 +1 @@ +Plan view of the equilibrium topography of the 2D dam break as measured by Soares-Frazão et al. (2012). diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_14.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_14.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..f5715c7cc4cede1c34929f81c104a51af5459621 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_14.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a03be290ba86e59a187846543e4b2ec77f84db5cd64889573d49bd2f18b8c47e +size 44785 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_14.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_14.txt" new file mode 100644 index 0000000000000000000000000000000000000000..5681df4028e470d399f285f85ded577383d037f9 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_14.txt" @@ -0,0 +1 @@ +Plan views of the numerical equilibrium topography of the 2D dam break with (a) ms ¼ 0:73 and md ¼ 0:63 and (b) the HM. diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_15.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_15.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..74a48f1edbbeef02d5ed307b7469361dbabff5ce --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_15.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7f42320cc81fd7c84d70ae5a107367fce66d0d47d524b8fe1ce735354ad2eaa8 +size 86389 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_15.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_15.txt" new file mode 100644 index 0000000000000000000000000000000000000000..e01546a8cd535d70b1eb03da08135443ae8878e9 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/figure_15.txt" @@ -0,0 +1 @@ +Comparison between the experimental results and several numerical models around zb and along different longitudinal profiles for the 2D dam break. External results extracted from Di Cristo et al. (2016). diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/graphic_abstract.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/graphic_abstract.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..580244bd95b829ae20e16ff7eee2fb540730173f --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/graphic_abstract.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:63bb510bb3d9cf7a1bbeb48d06c1e160fa9d8f85b668baa733f0e3d6f3a41cc7 +size 156169 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/manifest.json" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/manifest.json" new file mode 100644 index 0000000000000000000000000000000000000000..f4098c6079d76bea85588b16fe5b939927625a2c --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/manifest.json" @@ -0,0 +1,570 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Meurice and Soares-Frazão - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 20, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 58.01, + 88.0, + 549.97, + 402.4 + ], + "caption_bbox_points": [ + 64.01, + 79.48, + 151.73, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 156169, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 3, + "caption": "Schematic representation of the 2P2L model and its associated quantities.", + "image": "figure_01.jpg", + "caption_file": "figure_01.txt", + "figure_bbox_points": [ + 108.46, + 492.96, + 480.46, + 716.99 + ], + "caption_bbox_points": [ + 43.43, + 718.47, + 354.26, + 726.64 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 64116, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_02", + "page": 5, + "caption": "Sketch of the numerical experiment’s configuration. Point A corresponds to the pivot point of the erodible material. qin (qout) and qs,in (qs,out) correspond to the input (output) water and sediment discharges, respectively.", + "image": "figure_02.jpg", + "caption_file": "figure_02.txt", + "figure_bbox_points": [ + 108.46, + 496.64, + 480.46, + 702.3 + ], + "caption_bbox_points": [ + 43.43, + 702.31, + 545.46, + 723.52 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 47925, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_01", + "page": 6, + "caption": "Factor values used in the different situations of the numerical experiment", + "image": "table_01.jpg", + "caption_file": "table_01.txt", + "figure_bbox_points": [ + 61.01, + 619.55, + 569.02, + 724.3 + ], + "caption_bbox_points": [ + 64.01, + 611.32, + 370.03, + 619.55 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 15088, + "jpeg_quality": 88, + "data_file": "table_01.json", + "structure_extracted": false, + "row_count": 6, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_03", + "page": 7, + "caption": "Example of two different situations S1 (blue) and S2 (red) with the same expected slope S0,exp (black) leading to two optimal parameter values with their associated equilibrium slope S0,eq. Situation S2 will have more weight on the CM than situation S1 because its equilibrium slope S0,eq is closer to S0,exp.", + "image": "figure_03.jpg", + "caption_file": "figure_03.txt", + "figure_bbox_points": [ + 108.46, + 77.28, + 480.46, + 236.85 + ], + "caption_bbox_points": [ + 43.43, + 236.91, + 545.48, + 267.82 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 31713, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_04", + "page": 8, + "caption": "Procedure followed to close models’ parameters. The blue boxes correspond to steps performed with the help of JMP®. These operations could yet be achieved with any other method. White boxes correspond to manual operations while green boxes refer to 2P2L simulations. Red arrows indicate that some situations were excluded from the analysis for they did not deliver relevant results.", + "image": "figure_04.jpg", + "caption_file": "figure_04.txt", + "figure_bbox_points": [ + 128.99, + 434.28, + 500.99, + 692.27 + ], + "caption_bbox_points": [ + 64.01, + 692.27, + 565.86, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 81170, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_05", + "page": 9, + "caption": "Comparison between (a) ms,opt and ms,CZ and (b) ms,opt and ms,CM. The wider the circle, the heavier the situation. The smallest circle corresponds to w ¼ 0:67 and the largest to w ¼ 3:28 \u0006 108.", + "image": "figure_05.jpg", + "caption_file": "figure_05.txt", + "figure_bbox_points": [ + 48.42, + 552.42, + 540.5, + 702.3 + ], + "caption_bbox_points": [ + 43.43, + 703.73, + 545.48, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 39647, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_06", + "page": 10, + "caption": "Comparison between md,opt and md,CM: The wider the circle, the heavier the situation. The smallest circle corresponds to w ¼ 2:52 and the largest to w ¼ 3:56 \u0006 108:", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 189.02, + 553.28, + 441.22, + 702.3 + ], + "caption_bbox_points": [ + 64.01, + 702.31, + 566.01, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 20195, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_07", + "page": 11, + "caption": "Initial configuration of the 1D dam break test case as described by Spinewine & Zech (2007).", + "image": "figure_07.jpg", + "caption_file": "figure_07.txt", + "figure_bbox_points": [ + 210.45, + 606.11, + 378.52, + 712.28 + ], + "caption_bbox_points": [ + 43.43, + 713.76, + 420.61, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 13170, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_08", + "page": 12, + "caption": "Application of the 2P2L model with constant (fs, fd) couples to the 1D dam break. Results obtained at t ¼ 1:25 s:.", + "image": "figure_08.jpg", + "caption_file": "figure_08.txt", + "figure_bbox_points": [ + 147.01, + 77.28, + 483.01, + 549.23 + ], + "caption_bbox_points": [ + 64.01, + 549.23, + 518.77, + 560.26 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 124004, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_02", + "page": 12, + "caption": "RMSE (mm) around the different depths highlighted by the measurements when the 2P2L model is applied with different constant", + "image": "table_02.jpg", + "caption_file": "table_02.txt", + "figure_bbox_points": [ + 61.01, + 596.47, + 569.02, + 724.3 + ], + "caption_bbox_points": [ + 64.01, + 588.25, + 566.04, + 596.47 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 28436, + "jpeg_quality": 88, + "data_file": "table_02.json", + "structure_extracted": false, + "row_count": 8, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_09", + "page": 13, + "caption": "Comparison between the experimental and numerical estimations of the different interfaces of the 2P2L for the 1D dam break.", + "image": "figure_09.jpg", + "caption_file": "figure_09.txt", + "figure_bbox_points": [ + 108.46, + 77.28, + 480.46, + 438.23 + ], + "caption_bbox_points": [ + 43.43, + 439.71, + 545.44, + 447.94 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 98294, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_03", + "page": 13, + "caption": "RMSE between the numerical and experimental results for the 1D dam break", + "image": "table_03.jpg", + "caption_file": "table_03.txt", + "figure_bbox_points": [ + 40.43, + 480.71, + 548.44, + 570.55 + ], + "caption_bbox_points": [ + 43.43, + 472.48, + 361.46, + 480.71 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 19699, + "jpeg_quality": 88, + "data_file": "table_03.json", + "structure_extracted": false, + "row_count": 5, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_10", + "page": 14, + "caption": "Spatio-temporal evolution of the friction coefficients and their difference along the centreline of the flume.", + "image": "figure_10.jpg", + "caption_file": "figure_10.txt", + "figure_bbox_points": [ + 69.0, + 77.28, + 561.08, + 249.1 + ], + "caption_bbox_points": [ + 64.01, + 250.58, + 496.83, + 258.81 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 74597, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_11", + "page": 14, + "caption": "Comparison between the numerical estimation of Cs,low and the experimental concentration values for the 1D dam break. The experimental measurements correspond to one or two runs, depending on the profiles’ locations. When two runs are concerned, the boundary values of concentration are plotted in black while the range between these boundaries is plotted in light grey. A single run is represented in black. The concentration values C are added to the position x of the vertical profile they correspond to, which is indicated by the vertical dashes. The coefficient 0.1 is arbitrary and chosen for readability reasons.", + "image": "figure_11.jpg", + "caption_file": "figure_11.txt", + "figure_bbox_points": [ + 128.99, + 293.68, + 500.99, + 443.39 + ], + "caption_bbox_points": [ + 64.01, + 443.45, + 566.05, + 493.12 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 40914, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_12", + "page": 15, + "caption": "Description of the experimental flume of the 2D dam break, with the courtesy of Soares-Frazão et al. (2012).", + "image": "figure_12.jpg", + "caption_file": "figure_12.txt", + "figure_bbox_points": [ + 42.47, + 77.28, + 546.67, + 416.0 + ], + "caption_bbox_points": [ + 43.43, + 416.06, + 483.59, + 425.71 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 66796, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_13", + "page": 15, + "caption": "Plan view of the equilibrium topography of the 2D dam break as measured by Soares-Frazão et al. (2012).", + "image": "figure_13.jpg", + "caption_file": "figure_13.txt", + "figure_bbox_points": [ + 168.44, + 438.76, + 420.64, + 565.45 + ], + "caption_bbox_points": [ + 43.43, + 565.45, + 473.39, + 575.1 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 29496, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_14", + "page": 15, + "caption": "Plan views of the numerical equilibrium topography of the 2D dam break with (a) ms ¼ 0:73 and md ¼ 0:63 and (b) the HM.", + "image": "figure_14.jpg", + "caption_file": "figure_14.txt", + "figure_bbox_points": [ + 48.42, + 585.08, + 540.5, + 712.28 + ], + "caption_bbox_points": [ + 43.43, + 713.76, + 533.31, + 723.87 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 44785, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_15", + "page": 16, + "caption": "Comparison between the experimental results and several numerical models around zb and along different longitudinal profiles for the 2D dam break. External results extracted from Di Cristo et al. (2016).", + "image": "figure_15.jpg", + "caption_file": "figure_15.txt", + "figure_bbox_points": [ + 69.0, + 77.28, + 561.08, + 365.04 + ], + "caption_bbox_points": [ + 64.01, + 365.04, + 566.03, + 384.72 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 86389, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_04", + "page": 16, + "caption": "Comparison of the RMSE around zb between several numerical models for three longitudinal profiles for the 2D dam break", + "image": "table_04.jpg", + "caption_file": "table_04.txt", + "figure_bbox_points": [ + 61.01, + 621.98, + 569.02, + 724.3 + ], + "caption_bbox_points": [ + 64.01, + 610.8, + 548.21, + 621.98 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 29272, + "jpeg_quality": 88, + "data_file": "table_04.json", + 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"a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/table_03.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/table_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..fd73b0d43412cad7e42125306518fa0b4cd85836 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/table_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:95f1dff9a9df23d54bfc9ce3ed1056aa4f4abbcc7236c658a3a95e2175fc5c15 +size 19699 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/table_03.json" "b/Figures/Meurice and Soares-Fraz\303\243o 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}, + { + "text": "35.42", + "bbox_points": [ + 525.83, + 552.42, + 545.49, + 560.43 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/table_03.txt" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/table_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..5a874194ea0314b12471eb5df32a7f71719018b1 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/table_03.txt" @@ -0,0 +1 @@ +RMSE between the numerical and experimental results for the 1D dam break diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/table_04.jpg" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/table_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..bcc601e1a675656fa0bd3e888eb8200dd9387e28 --- /dev/null +++ "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/table_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6a6c69beacd5e22c46ce714c08ac53163566fdc22b8a561e59d08db83243237a +size 29272 diff --git "a/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters Applicati/table_04.json" "b/Figures/Meurice and Soares-Fraz\303\243o - 2024 - Machine learning rather than trial and error to close morphodynamical tuneable parameters 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India usin/table_01.txt @@ -0,0 +1 @@ +List of utilized parameters from remote sensing for study regions diff --git a/Figures/Michalopoulos et al. - 2024 - A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting/figure_01.jpg b/Figures/Michalopoulos et al. - 2024 - A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5ed9f74db2e8702fa80e47ab097e3ea38db9025b --- /dev/null +++ b/Figures/Michalopoulos et al. - 2024 - A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1d8dc470808b93873f17d7fea7760941bbc6388f00a17a76d80fbfbe60b7cf87 +size 47393 diff --git a/Figures/Michalopoulos et al. - 2024 - A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting/figure_01.txt 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In the first schematic, each point represents a 3-month consumption, whereas in the below schematics, each point refers to monthly consumption. diff --git a/Figures/Michalopoulos et al. - 2024 - A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting/figure_02.jpg b/Figures/Michalopoulos et al. - 2024 - A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..70270449b9c02d0a257a3842e66bb7bb07652852 --- /dev/null +++ b/Figures/Michalopoulos et al. - 2024 - A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:00f44483d223b0601f8cb8fdcc7d4f214120ede92fa86732254d8d266fdec8ed +size 85277 diff --git a/Figures/Michalopoulos et al. - 2024 - A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting/figure_02.txt b/Figures/Michalopoulos et al. - 2024 - A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..0845545cda3bd860813ad6588d095db58f17f0e9 --- /dev/null +++ b/Figures/Michalopoulos et al. - 2024 - A large-scale evaluation of machine learning algorithms in mid-term water demand forecasting/figure_02.txt @@ -0,0 +1 @@ +Collaborative method flowchart. Green corresponds to the customers that have been measured in time, while orange is the value that we want to predict. 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+ "bbox_points": [ + 208.23, + 151.88, + 221.48, + 159.9 + ] + }, + { + "text": "624", + "bbox_points": [ + 302.34, + 151.88, + 315.59, + 159.9 + ] + }, + { + "text": "913", + "bbox_points": [ + 386.59, + 151.88, + 399.84, + 159.9 + ] + }, + { + "text": "103", + "bbox_points": [ + 422.87, + 151.88, + 436.12, + 159.9 + ] + }, + { + "text": "1,000", + "bbox_points": [ + 521.97, + 151.88, + 541.64, + 159.9 + ] + } + ] + }, + { + "text": "TDS 722 203 312 457 69.3 1,000", + "bbox_points": [ + 64.01, + 165.89, + 541.64, + 173.9 + ], + "words": [ + { + "text": "TDS", + "bbox_points": [ + 64.01, + 165.89, + 80.33, + 173.9 + ] + }, + { + "text": "722", + "bbox_points": [ + 151.94, + 165.89, + 165.19, + 173.9 + ] + }, + { + "text": "203", + "bbox_points": [ + 208.23, + 165.89, + 221.48, + 173.9 + ] + }, + { + "text": "312", + "bbox_points": [ + 302.34, + 165.89, + 315.59, + 173.9 + ] + }, + { + "text": "457", + "bbox_points": [ + 386.59, + 165.89, + 399.84, + 173.9 + ] + }, + { + "text": "69.3", + "bbox_points": [ + 422.87, + 165.89, + 438.12, + 173.9 + ] + }, + { + "text": "1,000", + "bbox_points": [ + 521.97, + 165.89, + 541.64, + 173.9 + ] + } + ] + }, + { + "text": "Turbidity (NTU) 0 0 0 0 4 5", + "bbox_points": [ + 64.01, + 179.89, + 526.39, + 187.91 + ], + "words": [ + { + "text": "Turbidity", + "bbox_points": [ + 64.01, + 179.89, + 96.79, + 187.91 + ] + }, + { + "text": "(NTU)", + "bbox_points": [ + 99.16, + 179.89, + 122.72, + 187.91 + ] + }, + { + "text": "0", + "bbox_points": [ + 151.94, + 179.89, + 156.36, + 187.91 + ] + }, + { + "text": "0", + "bbox_points": [ + 208.24, + 179.89, + 212.65, + 187.91 + ] + }, + { + "text": "0", + "bbox_points": [ + 302.35, + 179.89, + 306.76, + 187.91 + ] + }, + { + "text": "0", + "bbox_points": [ + 386.59, + 179.89, + 391.01, + 187.91 + ] + }, + { + "text": "4", + "bbox_points": [ + 422.87, + 179.89, + 427.29, + 187.91 + ] + }, + { + "text": "5", + "bbox_points": [ + 521.97, + 179.89, + 526.39, + 187.91 + ] + } + ] + }, + { + "text": "Total chlorine ,0.02 0.02 0.02 0.03 0.02 5", + "bbox_points": [ + 64.01, + 193.61, + 526.39, + 201.91 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 193.89, + 82.47, + 201.91 + ] + }, + { + "text": "chlorine", + "bbox_points": [ + 84.87, + 193.89, + 114.67, + 201.91 + ] + }, + { + "text": ",0.02", + "bbox_points": [ + 151.94, + 193.61, + 173.82, + 201.91 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 208.23, + 193.89, + 223.48, + 201.91 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 302.34, + 193.89, + 317.59, + 201.91 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 386.59, + 193.89, + 401.84, + 201.91 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 422.87, + 193.89, + 438.12, + 201.91 + ] + }, + { + "text": "5", + "bbox_points": [ + 521.97, + 193.89, + 526.39, + 201.91 + ] + } + ] + }, + { + "text": "Total hardness 62 168 130 268 100 300", + "bbox_points": [ + 64.01, + 207.9, + 535.22, + 215.91 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 207.9, + 82.47, + 215.91 + ] + }, + { + "text": "hardness", + "bbox_points": [ + 84.87, + 207.9, + 116.81, + 215.91 + ] + }, + { + "text": "62", + "bbox_points": [ + 151.94, + 207.9, + 160.77, + 215.91 + ] + }, + { + "text": "168", + "bbox_points": [ + 208.23, + 207.9, + 221.48, + 215.91 + ] + }, + { + "text": "130", + "bbox_points": [ + 302.34, + 207.9, + 315.59, + 215.91 + ] + }, + { + "text": "268", + "bbox_points": [ + 386.59, + 207.9, + 399.84, + 215.91 + ] + }, + { + "text": "100", + "bbox_points": [ + 422.87, + 207.9, + 436.12, + 215.91 + ] + }, + { + "text": "300", + "bbox_points": [ + 521.97, + 207.9, + 535.22, + 215.91 + ] + } + ] + }, + { + "text": "Calcium hardness 50 134 104 186 80 300", + "bbox_points": [ + 64.01, + 221.9, + 535.22, + 229.91 + ], + "words": [ + { + "text": "Calcium", + "bbox_points": [ + 64.01, + 221.9, + 94.14, + 229.91 + ] + }, + { + "text": "hardness", + "bbox_points": [ + 96.49, + 221.9, + 128.45, + 229.91 + ] + }, + { + "text": "50", + "bbox_points": [ + 151.94, + 221.9, + 160.77, + 229.91 + ] + }, + { + "text": "134", + "bbox_points": [ + 208.23, + 221.9, + 221.48, + 229.91 + ] + }, + { + "text": "104", + "bbox_points": [ + 302.34, + 221.9, + 315.59, + 229.91 + ] + }, + { + "text": "186", + "bbox_points": [ + 386.59, + 221.9, + 399.84, + 229.91 + ] + }, + { + "text": "80", + "bbox_points": [ + 422.87, + 221.9, + 431.71, + 229.91 + ] + }, + { + "text": "300", + "bbox_points": [ + 521.97, + 221.9, + 535.22, + 229.91 + ] + } + ] + }, + { + "text": "Magnesium hardness 12 34 26 82 14 300", + "bbox_points": [ + 64.01, + 235.9, + 535.22, + 243.92 + ], + "words": [ + { + "text": "Magnesium", + "bbox_points": [ + 64.01, + 235.9, + 105.8, + 243.92 + ] + }, + { + "text": "hardness", + "bbox_points": [ + 108.17, + 235.9, + 140.21, + 243.92 + ] + }, + { + "text": "12", + "bbox_points": [ + 151.94, + 235.9, + 160.77, + 243.92 + ] + }, + { + "text": "34", + "bbox_points": [ + 208.23, + 235.9, + 217.07, + 243.92 + ] + }, + { + "text": "26", + "bbox_points": [ + 302.34, + 235.9, + 311.18, + 243.92 + ] + }, + { + "text": "82", + "bbox_points": [ + 386.59, + 235.9, + 395.42, + 243.92 + ] + }, + { + "text": "14", + "bbox_points": [ + 422.87, + 235.9, + 431.7, + 243.92 + ] + }, + { + "text": "300", + "bbox_points": [ + 521.97, + 235.9, + 535.22, + 243.92 + ] + } + ] + }, + { + "text": "Total alkalinity 144 240 168 506 160 500", + "bbox_points": [ + 64.01, + 249.9, + 535.22, + 257.92 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 64.01, + 249.9, + 82.47, + 257.92 + ] + }, + { + "text": "alkalinity", + "bbox_points": [ + 84.87, + 249.9, + 118.32, + 257.92 + ] + }, + { + "text": "144", + "bbox_points": [ + 151.94, + 249.9, + 165.19, + 257.92 + ] + }, + { + "text": "240", + "bbox_points": [ + 208.23, + 249.9, + 221.48, + 257.92 + ] + }, + { + "text": "168", + "bbox_points": [ + 302.34, + 249.9, + 315.59, + 257.92 + ] + }, + { + "text": "506", + "bbox_points": [ + 386.59, + 249.9, + 399.84, + 257.92 + ] + }, + { + "text": "160", + "bbox_points": [ + 422.87, + 249.9, + 436.12, + 257.92 + ] + }, + { + "text": "500", + "bbox_points": [ + 521.97, + 249.9, + 535.22, + 257.92 + ] + } + ] + }, + { + "text": "Bicarbonate 144 240 168 506 134 500", + "bbox_points": [ + 64.01, + 263.91, + 535.22, + 271.92 + ], + "words": [ + { + "text": "Bicarbonate", + "bbox_points": [ + 64.01, + 263.91, + 107.43, + 271.92 + ] + }, + { + "text": "144", + "bbox_points": [ + 151.94, + 263.91, + 165.19, + 271.92 + ] + }, + { + "text": "240", + "bbox_points": [ + 208.23, + 263.91, + 221.48, + 271.92 + ] + }, + { + "text": "168", + "bbox_points": [ + 302.34, + 263.91, + 315.59, + 271.92 + ] + }, + { + "text": "506", + "bbox_points": [ + 386.59, + 263.91, + 399.84, + 271.92 + ] + }, + { + "text": "134", + "bbox_points": [ + 422.87, + 263.91, + 436.12, + 271.92 + ] + }, + { + "text": "500", + "bbox_points": [ + 521.97, + 263.91, + 535.22, + 271.92 + ] + } + ] + }, + { + "text": "Alkalinity", + "bbox_points": [ + 72.0, + 274.4, + 107.3, + 282.41 + ], + "words": [ + { + "text": "Alkalinity", + "bbox_points": [ + 72.0, + 274.4, + 107.3, + 282.41 + ] + } + ] + }, + { + "text": "Carbonate Alkalinity 0 0 0 0 0 500", + "bbox_points": [ + 64.01, + 288.4, + 535.22, + 296.41 + ], + "words": [ + { + "text": "Carbonate", + "bbox_points": [ + 64.01, + 288.4, + 101.31, + 296.41 + ] + }, + { + "text": "Alkalinity", + "bbox_points": [ + 103.69, + 288.4, + 139.06, + 296.41 + ] + }, + { + "text": "0", + "bbox_points": [ + 151.94, + 288.4, + 156.35, + 296.41 + ] + }, + { + "text": "0", + "bbox_points": [ + 208.23, + 288.4, + 212.65, + 296.41 + ] + }, + { + "text": "0", + "bbox_points": [ + 302.34, + 288.4, + 306.76, + 296.41 + ] + }, + { + "text": "0", + "bbox_points": [ + 386.59, + 288.4, + 391.01, + 296.41 + ] + }, + { + "text": "0", + "bbox_points": [ + 422.87, + 288.4, + 427.29, + 296.41 + ] + }, + { + "text": "500", + "bbox_points": [ + 521.97, + 288.4, + 535.22, + 296.41 + ] + } + ] + }, + { + "text": "Hydroxide Alkalinity 0 0 0 0 0 500", + "bbox_points": [ + 64.01, + 302.4, + 535.22, + 310.42 + ], + "words": [ + { + "text": "Hydroxide", + "bbox_points": [ + 64.01, + 302.4, + 102.19, + 310.42 + ] + }, + { + "text": "Alkalinity", + "bbox_points": [ + 104.54, + 302.4, + 139.84, + 310.42 + ] + }, + { + "text": "0", + "bbox_points": [ + 151.94, + 302.4, + 156.35, + 310.42 + ] + }, + { + "text": "0", + "bbox_points": [ + 208.23, + 302.4, + 212.65, + 310.42 + ] + }, + { + "text": "0", + "bbox_points": [ + 302.34, + 302.4, + 306.76, + 310.42 + ] + }, + { + "text": "0", + "bbox_points": [ + 386.59, + 302.4, + 391.01, + 310.42 + ] + }, + { + "text": "0", + "bbox_points": [ + 422.87, + 302.4, + 427.29, + 310.42 + ] + }, + { + "text": "500", + "bbox_points": [ + 521.97, + 302.4, + 535.22, + 310.42 + ] + } + ] + }, + { + "text": "Dissolved NH3þ 0.85 0.24 0.28 0.17 0.2 1.5", + "bbox_points": [ + 64.01, + 314.69, + 532.8, + 324.42 + ], + "words": [ + { + "text": "Dissolved", + "bbox_points": [ + 64.01, + 316.4, + 99.0, + 324.42 + ] + }, + { + "text": "NH3þ", + "bbox_points": [ + 101.37, + 314.69, + 122.99, + 324.42 + ] + }, + { + "text": "0.85", + "bbox_points": [ + 151.94, + 316.41, + 167.18, + 324.42 + ] + }, + { + "text": "0.24", + "bbox_points": [ + 208.23, + 316.41, + 223.48, + 324.42 + ] + }, + { + "text": "0.28", + "bbox_points": [ + 302.34, + 316.41, + 317.59, + 324.42 + ] + }, + { + "text": "0.17", + "bbox_points": [ + 386.59, + 316.41, + 401.84, + 324.42 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 422.87, + 316.41, + 433.7, + 324.42 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 521.97, + 316.41, + 532.8, + 324.42 + ] + } + ] + }, + { + "text": "NH4þ Ammonium 1.1 0.31 0.36 0.22 0.3 1.5", + "bbox_points": [ + 64.01, + 328.69, + 532.8, + 338.43 + ], + "words": [ + { + "text": "NH4þ", + "bbox_points": [ + 64.01, + 328.69, + 85.63, + 338.42 + ] + }, + { + "text": "Ammonium", + "bbox_points": [ + 88.04, + 330.41, + 131.16, + 338.43 + ] + }, + { + "text": "1.1", + "bbox_points": [ + 151.94, + 330.41, + 162.77, + 338.43 + ] + }, + { + "text": "0.31", + "bbox_points": [ + 208.23, + 330.41, + 223.48, + 338.43 + ] + }, + { + "text": "0.36", + "bbox_points": [ + 302.34, + 330.41, + 317.59, + 338.43 + ] + }, + { + "text": "0.22", + "bbox_points": [ + 386.59, + 330.41, + 401.84, + 338.43 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 422.87, + 330.41, + 433.7, + 338.43 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 521.97, + 330.41, + 532.8, + 338.43 + ] + } + ] + }, + { + "text": "Naþ Sodium 18.3 31.9 16.3 104 10 1.5", + "bbox_points": [ + 64.01, + 342.69, + 532.8, + 352.37 + ], + "words": [ + { + "text": "Naþ", + "bbox_points": [ + 64.01, + 342.69, + 79.51, + 352.37 + ] + }, + { + "text": "Sodium", + "bbox_points": [ + 81.92, + 344.36, + 109.72, + 352.37 + ] + }, + { + "text": "18.3", + "bbox_points": [ + 151.94, + 344.36, + 167.18, + 352.37 + ] + }, + { + "text": "31.9", + "bbox_points": [ + 208.23, + 344.36, + 223.48, + 352.37 + ] + }, + { + "text": "16.3", + "bbox_points": [ + 302.34, + 344.36, + 317.59, + 352.37 + ] + }, + { + "text": "104", + "bbox_points": [ + 386.59, + 344.36, + 399.84, + 352.37 + ] + }, + { + "text": "10", + "bbox_points": [ + 422.87, + 344.36, + 431.7, + 352.37 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 521.97, + 344.36, + 532.8, + 352.37 + ] + } + ] + }, + { + "text": "Potassium(Kþ) 42 5.6 12 32 12 1.5", + "bbox_points": [ + 64.01, + 356.7, + 532.8, + 366.37 + ], + "words": [ + { + "text": "Potassium(Kþ)", + "bbox_points": [ + 64.01, + 356.7, + 116.7, + 366.37 + ] + }, + { + "text": "42", + "bbox_points": [ + 151.94, + 358.36, + 160.77, + 366.37 + ] + }, + { + "text": "5.6", + "bbox_points": [ + 208.23, + 358.36, + 219.06, + 366.37 + ] + }, + { + "text": "12", + "bbox_points": [ + 302.34, + 358.36, + 311.18, + 366.37 + ] + }, + { + "text": "32", + "bbox_points": [ + 386.59, + 358.36, + 395.42, + 366.37 + ] + }, + { + "text": "12", + "bbox_points": [ + 422.87, + 358.36, + 431.7, + 366.37 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 521.97, + 358.36, + 532.8, + 366.37 + ] + } + ] + }, + { + "text": "Calcium (Ca2þ) 20 53.6 41.6 74.4 35.36 100", + "bbox_points": [ + 64.01, + 370.7, + 535.22, + 380.38 + ], + "words": [ + { + "text": "Calcium", + "bbox_points": [ + 64.01, + 372.36, + 94.14, + 380.38 + ] + }, + { + "text": "(Ca2þ)", + "bbox_points": [ + 96.49, + 370.7, + 119.76, + 380.38 + ] + }, + { + "text": "20", + "bbox_points": [ + 151.94, + 372.36, + 160.77, + 380.38 + ] + }, + { + "text": "53.6", + "bbox_points": [ + 208.23, + 372.36, + 223.48, + 380.38 + ] + }, + { + "text": "41.6", + "bbox_points": [ + 302.34, + 372.36, + 317.59, + 380.38 + ] + }, + { + "text": "74.4", + "bbox_points": [ + 386.59, + 372.36, + 401.84, + 380.38 + ] + }, + { + "text": "35.36", + "bbox_points": [ + 422.87, + 372.36, + 442.54, + 380.38 + ] + }, + { + "text": "100", + "bbox_points": [ + 521.97, + 372.36, + 535.22, + 380.38 + ] + } + ] + }, + { + "text": "Magnesium (Mg2þ) 2.9 8.3 6.3 19.9 4.04 30", + "bbox_points": [ + 64.01, + 384.7, + 530.8, + 394.38 + ], + "words": [ + { + "text": "Magnesium", + "bbox_points": [ + 64.01, + 386.36, + 105.8, + 394.38 + ] + }, + { + "text": "(Mg2þ)", + "bbox_points": [ + 108.17, + 384.7, + 133.31, + 394.38 + ] + }, + { + "text": "2.9", + "bbox_points": [ + 151.94, + 386.37, + 162.77, + 394.38 + ] + }, + { + "text": "8.3", + "bbox_points": [ + 208.23, + 386.37, + 219.07, + 394.38 + ] + }, + { + "text": "6.3", + "bbox_points": [ + 302.34, + 386.37, + 313.18, + 394.38 + ] + }, + { + "text": "19.9", + "bbox_points": [ + 386.59, + 386.37, + 401.84, + 394.38 + ] + }, + { + "text": "4.04", + "bbox_points": [ + 422.87, + 386.37, + 438.12, + 394.38 + ] + }, + { + "text": "30", + "bbox_points": [ + 521.97, + 386.37, + 530.8, + 394.38 + ] + } + ] + }, + { + "text": "Iron (Fe) 0.23 0.04 0.11 0.2 0.2 0.3", + "bbox_points": [ + 64.01, + 400.37, + 532.8, + 408.38 + ], + "words": [ + { + "text": "Iron", + "bbox_points": [ + 64.01, + 400.37, + 79.45, + 408.38 + ] + }, + { + "text": "(Fe)", + "bbox_points": [ + 81.87, + 400.37, + 95.92, + 408.38 + ] + }, + { + "text": "0.23", + "bbox_points": [ + 151.94, + 400.37, + 167.18, + 408.38 + ] + }, + { + "text": "0.04", + "bbox_points": [ + 208.23, + 400.37, + 223.48, + 408.38 + ] + }, + { + "text": "0.11", + "bbox_points": [ + 302.34, + 400.37, + 317.59, + 408.38 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 386.59, + 400.37, + 397.42, + 408.38 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 422.87, + 400.37, + 433.7, + 408.38 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 521.97, + 400.37, + 532.8, + 408.38 + ] + } + ] + }, + { + "text": "Copper (Cu2þ) 0.9 ,0.04 0.6 0.7 0.5 2", + "bbox_points": [ + 64.01, + 412.65, + 526.39, + 422.39 + ], + "words": [ + { + "text": "Copper", + "bbox_points": [ + 64.01, + 414.37, + 90.45, + 422.39 + ] + }, + { + "text": "(Cu2þ)", + "bbox_points": [ + 92.81, + 412.65, + 116.53, + 422.39 + ] + }, + { + "text": "0.9", + 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impacts a case stu/table_03.txt @@ -0,0 +1 @@ +Mean concentration (mean + SD, n ¼ 3, ppm) of elements in coffee beans and soil samples diff --git a/Figures/Mihret et al. - 2024 - Constructed wetland-based wastewater treatment of a coffee-washing plant and its impacts a case stu/table_04.jpg b/Figures/Mihret et al. - 2024 - Constructed wetland-based wastewater treatment of a coffee-washing plant and its impacts a case stu/table_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..60ea3657b8426b78f01f69ab2e84247a51d87e31 --- /dev/null +++ b/Figures/Mihret et al. - 2024 - Constructed wetland-based wastewater treatment of a coffee-washing plant and its impacts a case stu/table_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:404e477e83792eb664b62c4d5249a061ad1d6dc0fa54863d0bcccdd699a1ed1e +size 84945 diff --git a/Figures/Mihret et al. - 2024 - Constructed wetland-based wastewater treatment of a coffee-washing plant and its impacts a case 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285.4, + 545.48, + 293.69 + ], + "words": [ + { + "text": "A1–A2", + "bbox_points": [ + 43.43, + 285.4, + 68.24, + 293.69 + ] + }, + { + "text": "A2–A3", + "bbox_points": [ + 483.93, + 285.4, + 508.75, + 293.69 + ] + }, + { + "text": "A3–A4", + "bbox_points": [ + 520.67, + 285.4, + 545.48, + 293.69 + ] + } + ] + }, + { + "text": "0.017 0.680 0.303", + "bbox_points": [ + 43.43, + 299.68, + 540.33, + 307.7 + ], + "words": [ + { + "text": "0.017", + "bbox_points": [ + 43.43, + 299.68, + 63.09, + 307.7 + ] + }, + { + "text": "0.680", + "bbox_points": [ + 483.93, + 299.68, + 503.59, + 307.7 + ] + }, + { + "text": "0.303", + "bbox_points": [ + 520.67, + 299.68, + 540.33, + 307.7 + ] + } + ] + }, + { + "text": "The threshold for sufficient advantage is 0.25; thus, alternative A4 has sufficient advantage (condition U1 fulfilled).", + "bbox_points": [ + 52.44, + 319.58, + 522.58, + 328.91 + ], + "words": [ + { + "text": "The", + "bbox_points": [ + 52.44, + 319.89, + 67.9, + 328.91 + ] + }, + { 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comparison with the reference one diff --git a/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_01.jpg b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a59a4aa2e38efffe73b4f0c965c0046b45443543 --- /dev/null +++ b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:edd7a8f20bcf10a93097e4f90ab719e263d9c8821a122ae282db5c76c065060c +size 178541 diff --git a/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_01.txt b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1bff8cd60ea8005631286ccc236ff8d2c95a03f --- /dev/null +++ b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_01.txt @@ -0,0 +1 @@ +Nhat Le River Basin in Quang Binh province, Vietnam. diff --git a/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_02.jpg b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..bc3e404995471b131e468dd627d766c086341da7 --- /dev/null +++ b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:357d7e1c7bb879441f31ee1453277f7c4ed0a50f7b5c75f15172a229f87cf22d +size 72001 diff --git a/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_02.txt b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..04838c73364fbb183e58bfdba35fb6004129929a --- /dev/null +++ b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_02.txt @@ -0,0 +1 @@ +Box-whisker plots of daily water level at (a) Kien Giang station and (b) Le Thuy station with their three-stage alarm levels over the period 1976–2020. diff --git a/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_03.jpg b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..04dc1b5656d1ec3966c48490d31706c06bebb874 --- /dev/null +++ b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:51a5241c9335c218ee64521b957240ee642db797875bb86cf7327dcc5d87bc5d +size 70622 diff --git a/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_03.txt b/Figures/Minh et al. - 2024 - 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monitoring of surface wat/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6a69e73874bf84ff4824fc86dca672c58331a66014cd8f07e088a60906be2547 +size 84130 diff --git a/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_06.txt b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6534c3603f38b43592cc164004c707713134dc3 --- /dev/null +++ b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_06.txt @@ -0,0 +1 @@ +(a) Raw Sentinel-1 image at Phu Hoa reservoir and (b) its pixel value statistic. diff --git a/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_07.jpg b/Figures/Minh et al. - 2024 - Spatio-temporal dynamics monitoring of surface wat/figure_07.jpg new file mode 100644 index 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(2020) producing biogas from the food waste", + "bbox_points": [ + 105.84, + 471.75, + 513.75, + 479.86 + ], + "words": [ + { + "text": "Negri", + "bbox_points": [ + 105.84, + 471.85, + 126.08, + 479.86 + ] + }, + { + "text": "et", + "bbox_points": [ + 128.41, + 471.75, + 134.73, + 479.74 + ] + }, + { + "text": "al.", + "bbox_points": [ + 137.14, + 471.75, + 146.05, + 479.74 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 148.42, + 471.85, + 171.57, + 479.86 + ] + }, + { + "text": "producing", + "bbox_points": [ + 378.08, + 471.85, + 414.4, + 479.86 + ] + }, + { + "text": "biogas", + "bbox_points": [ + 416.8, + 471.85, + 439.61, + 479.86 + ] + }, + { + "text": "from", + "bbox_points": [ + 441.98, + 471.85, + 459.05, + 479.86 + ] + }, + { + "text": "the", + "bbox_points": [ + 461.42, + 471.85, + 472.74, + 479.86 + ] + }, + { + "text": "food", + "bbox_points": [ + 475.08, + 471.85, + 491.31, + 479.86 + ] + }, + { + "text": "waste", + "bbox_points": [ + 493.68, + 471.85, + 513.75, + 479.86 + ] + } + ] + }, + { + "text": "that was gathered from a hostel mess,", + "bbox_points": [ + 378.08, + 482.33, + 512.99, + 490.35 + ], + "words": [ + { + "text": "that", + "bbox_points": [ + 378.08, + 482.33, + 392.0, + 490.35 + ] + }, + { + "text": "was", + "bbox_points": [ + 394.35, + 482.33, + 408.02, + 490.35 + ] + }, + { + "text": "gathered", + "bbox_points": [ + 410.4, + 482.33, + 441.25, + 490.35 + ] + }, + { + "text": "from", + "bbox_points": [ + 443.62, + 482.33, + 460.69, + 490.35 + ] + }, + { + "text": "a", + "bbox_points": [ + 463.06, + 482.33, + 467.22, + 490.35 + ] + }, + { + "text": "hostel", + "bbox_points": [ + 469.58, + 482.33, + 490.96, + 490.35 + ] + }, + { + "text": "mess,", + "bbox_points": [ + 493.34, + 482.33, + 512.99, + 490.35 + ] + } + ] + }, + { + "text": "and calculated that 27.5 kg of kitchen", + "bbox_points": [ + 378.08, + 492.82, + 513.67, + 500.84 + ], + "words": [ + { + "text": "and", + "bbox_points": [ + 378.08, + 492.82, + 391.56, + 500.84 + ] + }, + { + "text": "calculated", + "bbox_points": [ + 393.96, + 492.82, + 430.45, + 500.84 + ] + }, + { + "text": "that", + "bbox_points": [ + 432.85, + 492.82, + 446.71, + 500.84 + ] + }, + { + "text": "27.5", + "bbox_points": [ + 449.12, + 492.82, + 464.37, + 500.84 + ] + }, + { + "text": "kg", + "bbox_points": [ + 466.3, + 492.82, + 474.87, + 500.84 + ] + }, + { + "text": "of", + "bbox_points": [ + 477.24, + 492.82, + 484.31, + 500.84 + ] + }, + { + "text": "kitchen", + "bbox_points": [ + 486.71, + 492.82, + 513.67, + 500.84 + ] + } + ] + }, + { + "text": "trash per day might yield up to 6.54 m3", + "bbox_points": [ + 378.08, + 501.85, + 518.48, + 511.33 + ], + "words": [ + { + "text": "trash", + "bbox_points": [ + 378.08, + 503.31, + 395.93, + 511.33 + ] + }, + { + "text": "per", + "bbox_points": [ + 398.27, + 503.31, + 410.0, + 511.33 + ] + }, + { + "text": "day", + "bbox_points": [ + 412.38, + 503.31, + 424.94, + 511.33 + ] + }, + { + "text": "might", + "bbox_points": [ + 427.35, + 503.31, + 448.0, + 511.33 + ] + }, + { + "text": "yield", + "bbox_points": [ + 450.37, + 503.31, + 467.6, + 511.33 + ] + }, + { + "text": "up", + "bbox_points": [ + 469.93, + 503.31, + 479.08, + 511.33 + ] + }, + { + "text": "to", + "bbox_points": [ + 481.49, + 503.31, + 488.64, + 511.33 + ] + }, + { + "text": "6.54", + "bbox_points": [ + 491.02, + 503.31, + 506.26, + 511.33 + ] + }, + { + "text": "m3", + "bbox_points": [ + 508.19, + 501.85, + 518.48, + 511.33 + ] + } + ] + }, + { + "text": "of gas per day throughout a 30-day", + "bbox_points": [ + 378.08, + 513.87, + 502.73, + 521.88 + ], + "words": [ + { + "text": "of", + "bbox_points": [ + 378.08, + 513.87, + 385.16, + 521.88 + ] + }, + { + "text": "gas", + "bbox_points": [ + 387.55, + 513.87, + 399.04, + 521.88 + ] + }, + { + "text": "per", + "bbox_points": [ + 401.44, + 513.87, + 413.18, + 521.88 + ] + }, + { + "text": "day", + "bbox_points": [ + 415.56, + 513.87, + 428.12, + 521.88 + ] + }, + { + "text": "throughout", + "bbox_points": [ + 430.47, + 513.87, + 470.41, + 521.88 + ] + }, + { + "text": "a", + "bbox_points": [ + 472.76, + 513.87, + 476.92, + 521.88 + ] + }, + { + "text": "30-day", + "bbox_points": [ + 479.34, + 513.87, + 502.73, + 521.88 + ] + } + ] + }, + { + "text": "retention period.", + "bbox_points": [ + 378.08, + 524.36, + 438.14, + 532.37 + ], + "words": [ + { + "text": "retention", + "bbox_points": [ + 378.08, + 524.36, + 410.63, + 532.37 + ] + }, + { + "text": "period.", + "bbox_points": [ + 413.01, + 524.36, + 438.14, + 532.37 + ] + } + ] + }, + { + "text": "2 Baig et al. (2017) Designed an anaerobic biogas-digester It was found that for a kitchen waste of", + "bbox_points": [ + 78.86, + 538.26, + 511.7, + 546.37 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 78.86, + 538.36, + 83.28, + 546.37 + ] + }, + { + "text": "Baig", + "bbox_points": [ + 97.85, + 538.36, + 113.92, + 546.37 + ] + }, + { + "text": "et", + "bbox_points": [ + 116.28, + 538.26, + 122.6, + 546.26 + ] + }, + { + "text": "al.", + "bbox_points": [ + 125.01, + 538.26, + 133.92, + 546.26 + ] + }, + { + "text": "(2017)", + "bbox_points": [ + 136.29, + 538.36, + 159.44, + 546.37 + ] + }, + { + "text": "Designed", + "bbox_points": [ + 214.07, + 538.36, + 247.62, + 546.37 + ] + }, + { + "text": "an", + "bbox_points": [ + 249.96, + 538.36, + 258.86, + 546.37 + ] + }, + { + "text": "anaerobic", + "bbox_points": [ + 261.24, + 538.36, + 296.57, + 546.37 + ] + }, + { + "text": "biogas-digester", + "bbox_points": [ + 298.94, + 538.36, + 351.54, + 546.37 + ] + }, + { + "text": "It", + "bbox_points": [ + 370.09, + 538.36, + 375.83, + 546.37 + ] + }, + { + "text": "was", + "bbox_points": [ + 378.26, + 538.36, + 391.87, + 546.37 + ] + }, + { + "text": "found", + "bbox_points": [ + 394.24, + 538.36, + 415.21, + 546.37 + ] + }, + { + "text": "that", + "bbox_points": [ + 417.6, + 538.36, + 431.46, + 546.37 + ] + }, + { + "text": "for", + "bbox_points": [ + 433.87, + 538.36, + 444.1, + 546.37 + ] + }, + { + "text": "a", + "bbox_points": [ + 446.34, + 538.36, + 450.5, + 546.37 + ] + }, + { + "text": "kitchen", + "bbox_points": [ + 452.86, + 538.36, + 479.83, + 546.37 + ] + }, + { + "text": "waste", + "bbox_points": [ + 482.17, + 538.36, + 502.24, + 546.37 + ] + }, + { + "text": "of", + "bbox_points": [ + 504.62, + 538.36, + 511.7, + 546.37 + ] + } + ] + }, + { + "text": "for a campus hostel using kitchen and 45 kg, the volume of digester required is", + "bbox_points": [ + 222.07, + 548.85, + 521.85, + 556.86 + ], + "words": [ + { + "text": "for", + "bbox_points": [ + 222.07, + 548.85, + 232.3, + 556.86 + ] + }, + { + "text": "a", + "bbox_points": [ + 234.54, + 548.85, + 238.7, + 556.86 + ] + }, + { + "text": "campus", + "bbox_points": [ + 240.89, + 548.85, + 268.53, + 556.86 + ] + }, + { + "text": "hostel", + "bbox_points": [ + 270.88, + 548.85, + 292.26, + 556.86 + ] + }, + { + "text": "using", + "bbox_points": [ + 294.63, + 548.85, + 313.61, + 556.86 + ] + }, + { + "text": "kitchen", + "bbox_points": [ + 315.95, + 548.85, + 342.92, + 556.86 + ] + }, + { + "text": "and", + "bbox_points": [ + 345.32, + 548.85, + 358.8, + 556.86 + ] + }, + { + "text": "45", + "bbox_points": [ + 378.08, + 548.85, + 386.92, + 556.86 + ] + }, + { + "text": "kg,", + "bbox_points": [ + 388.91, + 548.85, + 399.49, + 556.86 + ] + }, + { + "text": "the", + "bbox_points": [ + 401.84, + 548.85, + 413.16, + 556.86 + ] + }, + { + "text": "volume", + "bbox_points": [ + 415.56, + 548.85, + 442.01, + 556.86 + ] + }, + { + "text": "of", + "bbox_points": [ + 444.36, + 548.85, + 451.43, + 556.86 + ] + }, + { + "text": "digester", + "bbox_points": [ + 453.83, + 548.85, + 481.59, + 556.86 + ] + }, + { + "text": "required", + "bbox_points": [ + 483.99, + 548.85, + 513.82, + 556.86 + ] + }, + { + "text": "is", + "bbox_points": [ + 516.19, + 548.85, + 521.85, + 556.86 + ] + } + ] + }, + { + "text": "other wastes 6.803 m3. Considering fixed-dome type", + "bbox_points": [ + 222.07, + 557.8, + 517.22, + 567.35 + ], + "words": [ + { + "text": "other", + "bbox_points": [ + 222.07, + 559.33, + 241.12, + 567.35 + ] + }, + { + "text": "wastes", + "bbox_points": [ + 243.5, + 559.33, + 266.84, + 567.35 + ] + }, + { + "text": "6.803", + "bbox_points": [ + 378.08, + 559.33, + 397.75, + 567.35 + ] + }, + { + "text": "m3.", + "bbox_points": [ + 399.68, + 557.8, + 412.0, + 567.35 + ] + }, + { + "text": "Considering", + "bbox_points": [ + 414.37, + 559.34, + 457.71, + 567.35 + ] + }, + { + "text": "fixed-dome", + "bbox_points": [ + 460.06, + 559.06, + 499.79, + 567.35 + ] + }, + { + "text": "type", + "bbox_points": [ + 502.07, + 559.34, + 517.22, + 567.35 + ] + } + ] + }, + { + "text": "model working with kitchen garbage as", + "bbox_points": [ + 378.09, + 569.82, + 520.39, + 577.84 + ], + "words": [ + { + "text": "model", + "bbox_points": [ + 378.09, + 569.82, + 400.56, + 577.84 + ] + }, + { + "text": "working", + "bbox_points": [ + 402.92, + 569.82, + 432.63, + 577.84 + ] + }, + { + "text": "with", + "bbox_points": [ + 435.01, + 569.82, + 450.98, + 577.84 + ] + }, + { + "text": "kitchen", + "bbox_points": [ + 453.32, + 569.82, + 480.28, + 577.84 + ] + }, + { + "text": "garbage", + "bbox_points": [ + 482.68, + 569.82, + 510.58, + 577.84 + ] + }, + { + "text": "as", + "bbox_points": [ + 512.9, + 569.82, + 520.39, + 577.84 + ] + } + ] + }, + { + "text": "feed was estimated to produce 3.6 m3", + "bbox_points": [ + 378.09, + 578.84, + 512.36, + 588.38 + ], + "words": [ + { + "text": "feed", + "bbox_points": [ + 378.09, + 580.37, + 393.16, + 588.38 + ] + }, + { + "text": "was", + "bbox_points": [ + 395.55, + 580.37, + 409.16, + 588.38 + ] + }, + { + "text": "estimated", + "bbox_points": [ + 411.59, + 580.37, + 445.7, + 588.38 + ] + }, + { + "text": "to", + "bbox_points": [ + 448.1, + 580.37, + 455.25, + 588.38 + ] + }, + { + "text": "produce", + "bbox_points": [ + 457.63, + 580.37, + 486.95, + 588.38 + ] + }, + { + "text": "3.6", + "bbox_points": [ + 489.32, + 580.37, + 500.15, + 588.38 + ] + }, + { + "text": "m3", + "bbox_points": [ + 502.07, + 578.84, + 512.36, + 588.38 + ] + } + ] + }, + { + "text": "volume of biogas.", + "bbox_points": [ + 378.08, + 590.86, + 441.22, + 598.87 + ], + "words": [ + { + "text": "volume", + "bbox_points": [ + 378.08, + 590.86, + 404.59, + 598.87 + ] + }, + { + "text": "of", + "bbox_points": [ + 406.94, + 590.86, + 414.01, + 598.87 + ] + }, + { + "text": "biogas.", + "bbox_points": [ + 416.41, + 590.86, + 441.22, + 598.87 + ] + } + ] + }, + { + "text": "3 Leca et al. (2023) Used food waste from kitchens to The creation of a biogas facility through", + "bbox_points": [ + 78.86, + 604.76, + 513.56, + 612.88 + ], + "words": [ + { + "text": "3", + "bbox_points": [ + 78.86, + 604.86, + 83.28, + 612.88 + ] + }, + { + "text": "Leca", + "bbox_points": [ + 97.85, + 604.86, + 115.34, + 612.88 + ] + }, + { + "text": "et", + "bbox_points": [ + 117.7, + 604.76, + 124.02, + 612.76 + ] + }, + { + "text": "al.", + "bbox_points": [ + 126.43, + 604.76, + 135.34, + 612.76 + ] + }, + { + "text": "(2023)", + "bbox_points": [ + 137.71, + 604.86, + 160.86, + 612.88 + ] + }, + { + "text": "Used", + "bbox_points": [ + 214.07, + 604.86, + 232.3, + 612.88 + ] + }, + { + "text": "food", + "bbox_points": [ + 234.65, + 604.86, + 250.88, + 612.88 + ] + }, + { + "text": "waste", + "bbox_points": [ + 253.25, + 604.86, + 273.32, + 612.88 + ] + }, + { + "text": "from", + "bbox_points": [ + 275.7, + 604.86, + 292.72, + 612.88 + ] + }, + { + "text": "kitchens", + "bbox_points": [ + 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(2015) Performed a similar research on water It was noted that there is a significant lag", + "bbox_points": [ + 78.86, + 216.06, + 518.4, + 224.36 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 78.86, + 216.34, + 83.27, + 224.36 + ] + }, + { + "text": "Desai", + "bbox_points": [ + 97.85, + 216.34, + 118.24, + 224.36 + ] + }, + { + "text": "et", + "bbox_points": [ + 120.58, + 216.24, + 126.9, + 224.24 + ] + }, + { + "text": "al.", + "bbox_points": [ + 129.32, + 216.24, + 138.23, + 224.24 + ] + }, + { + "text": "(2015)", + "bbox_points": [ + 140.6, + 216.34, + 163.75, + 224.36 + ] + }, + { + "text": "Performed", + "bbox_points": [ + 214.07, + 216.34, + 251.86, + 224.36 + ] + }, + { + "text": "a", + "bbox_points": [ + 254.21, + 216.34, + 258.37, + 224.36 + ] + }, + { + "text": "similar", + "bbox_points": [ + 260.73, + 216.34, + 285.36, + 224.36 + ] + }, + { + "text": "research", + "bbox_points": [ + 287.72, + 216.34, + 317.89, + 224.36 + ] + }, + { + "text": "on", + "bbox_points": [ + 320.26, + 216.34, + 329.58, + 224.36 + ] + }, + { + "text": "water", + "bbox_points": [ + 331.99, + 216.34, + 351.88, + 224.36 + ] + }, + { + "text": "It", + "bbox_points": [ + 370.09, + 216.34, + 375.82, + 224.36 + ] + }, + { + "text": "was", + "bbox_points": [ + 378.25, + 216.34, + 391.86, + 224.36 + ] + }, + { + "text": "noted", + "bbox_points": [ + 394.24, + 216.34, + 414.71, + 224.36 + ] + }, + { + "text": "that", + "bbox_points": [ + 417.09, + 216.34, + 430.95, + 224.36 + ] + }, + { + "text": "there", + "bbox_points": [ + 433.36, + 216.34, + 451.64, + 224.36 + ] + }, + { + "text": "is", + "bbox_points": [ + 454.05, + 216.34, + 459.71, + 224.36 + ] + }, + { + "text": "a", + "bbox_points": [ + 462.1, + 216.34, + 466.26, + 224.36 + ] + }, + { + "text": "significant", + "bbox_points": [ + 468.62, + 216.06, + 505.53, + 224.36 + ] + }, + { + "text": "lag", + "bbox_points": [ + 507.91, + 216.34, + 518.4, + 224.36 + ] + } + ] + }, + { + "text": "management by greywater treatment between population growth and water", + "bbox_points": [ + 222.06, + 226.83, + 514.64, + 234.84 + ], + "words": [ + { + "text": "management", + "bbox_points": [ + 222.06, + 226.83, + 268.33, + 234.84 + ] + }, + { + "text": "by", + "bbox_points": [ + 270.76, + 226.83, + 279.18, + 234.84 + ] + }, + { + "text": "greywater", + "bbox_points": [ + 281.54, + 226.83, + 316.16, + 234.84 + ] + }, + { + "text": "treatment", + "bbox_points": [ + 318.56, + 226.83, + 353.0, + 234.84 + ] + }, + { + "text": "between", + "bbox_points": [ + 378.08, + 226.83, + 407.95, + 234.84 + ] + }, + { + "text": "population", + "bbox_points": [ + 410.34, + 226.83, + 449.11, + 234.84 + ] + }, + { + "text": "growth", + "bbox_points": [ + 451.5, + 226.83, + 476.54, + 234.84 + ] + }, + { + "text": "and", + "bbox_points": [ + 478.94, + 226.83, + 492.42, + 234.84 + ] + }, + { + "text": "water", + "bbox_points": [ + 494.76, + 226.83, + 514.64, + 234.84 + ] + } + ] + }, + { + "text": "to study water conservation by reuse availability.", + "bbox_points": [ + 222.06, + 237.32, + 418.97, + 245.33 + ], + "words": [ + { + "text": "to", + "bbox_points": [ + 222.06, + 237.32, + 229.22, + 245.33 + ] + }, + { + "text": "study", + "bbox_points": [ + 231.59, + 237.32, + 250.49, + 245.33 + ] + }, + { + "text": "water", + "bbox_points": [ + 252.85, + 237.32, + 272.73, + 245.33 + ] + }, + { + "text": "conservation", + "bbox_points": [ + 274.96, + 237.32, + 321.1, + 245.33 + ] + }, + { + "text": "by", + "bbox_points": [ + 323.49, + 237.32, + 331.9, + 245.33 + ] + }, + { + "text": "reuse", + "bbox_points": [ + 334.26, + 237.32, + 353.17, + 245.33 + ] + }, + { + "text": "availability.", + "bbox_points": [ + 378.08, + 237.32, + 418.97, + 245.33 + ] + } + ] + }, + { + "text": "of greywater", + "bbox_points": [ + 222.06, + 247.86, + 266.21, + 255.88 + ], + "words": [ + { + "text": "of", + "bbox_points": [ + 222.06, + 247.86, + 229.14, + 255.88 + ] + }, + { + "text": "greywater", + "bbox_points": [ + 231.53, + 247.86, + 266.21, + 255.88 + ] + } + ] + }, + { + "text": "3 Sushmitha et al. 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(2013) Explored how beneficiaries perceived The perceptions discussed included", + "bbox_points": [ + 78.86, + 384.04, + 497.71, + 392.33 + ], + "words": [ + { + "text": "11", + "bbox_points": [ + 78.86, + 384.32, + 87.69, + 392.33 + ] + }, + { + "text": "Ilemobade", + "bbox_points": [ + 97.85, + 384.32, + 135.98, + 392.33 + ] + }, + { + "text": "et", + "bbox_points": [ + 138.39, + 384.22, + 144.71, + 392.22 + ] + }, + { + "text": "al.", + "bbox_points": [ + 147.12, + 384.22, + 156.03, + 392.22 + ] + }, + { + "text": "(2013)", + "bbox_points": [ + 158.4, + 384.32, + 181.55, + 392.33 + ] + }, + { + "text": "Explored", + "bbox_points": [ + 214.07, + 384.32, + 246.74, + 392.33 + ] + }, + { + "text": "how", + "bbox_points": [ + 249.11, + 384.32, + 264.57, + 392.33 + ] + }, + { + "text": "beneficiaries", + "bbox_points": [ + 266.97, + 384.04, + 312.1, + 392.33 + ] + }, + { + "text": "perceived", + "bbox_points": [ + 314.48, + 384.32, + 348.9, + 392.33 + ] + }, + { + "text": "The", + "bbox_points": [ + 370.09, + 384.32, + 383.84, + 392.33 + ] + }, + { + "text": "perceptions", + "bbox_points": [ + 386.19, + 384.32, + 427.89, + 392.33 + ] + }, + { + "text": "discussed", + "bbox_points": [ + 430.24, + 384.32, + 464.28, + 392.33 + ] + }, + { + "text": "included", + "bbox_points": [ + 466.58, + 384.32, + 497.71, + 392.33 + ] + } + ] + }, + { + "text": "GWR before and after it was respondents’ preferences for using", + "bbox_points": [ + 222.07, + 394.58, + 500.87, + 402.88 + ], + "words": [ + { + "text": "GWR", + "bbox_points": [ + 222.07, + 394.86, + 242.71, + 402.88 + ] + }, + { + "text": "before", + "bbox_points": [ + 245.08, + 394.86, + 267.51, + 402.88 + ] + }, + { + "text": "and", + "bbox_points": [ + 269.92, + 394.86, + 283.4, + 402.88 + ] + }, + { + "text": "after", + "bbox_points": [ + 285.73, + 394.86, + 301.99, + 402.88 + ] + }, + { + "text": "it", + "bbox_points": [ + 304.39, + 394.86, + 309.29, + 402.88 + ] + }, + { + "text": "was", + "bbox_points": [ + 311.64, + 394.86, + 325.31, + 402.88 + ] + }, + { + "text": "respondents’", + "bbox_points": [ + 378.09, + 394.58, + 423.46, + 402.88 + ] + }, + { + "text": "preferences", + "bbox_points": [ + 425.88, + 394.86, + 466.93, + 402.88 + ] + }, + { + "text": "for", + "bbox_points": [ + 469.3, + 394.86, + 479.54, + 402.88 + ] + }, + { + "text": "using", + "bbox_points": [ + 481.89, + 394.86, + 500.87, + 402.88 + ] + } + ] + }, + { + "text": "implemented. 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This will help to avoid overfitting and has the potential", + "bbox_points": [ + 252.74, + 457.4, + 545.27, + 465.7 + ], + "words": [ + { + "text": "data", + "bbox_points": [ + 252.74, + 457.68, + 268.03, + 465.7 + ] + }, + { + "text": "before", + "bbox_points": [ + 270.42, + 457.68, + 292.91, + 465.7 + ] + }, + { + "text": "growing", + "bbox_points": [ + 295.26, + 457.68, + 324.05, + 465.7 + ] + }, + { + "text": "trees.", + "bbox_points": [ + 326.44, + 457.68, + 345.32, + 465.7 + ] + }, + { + "text": "This", + "bbox_points": [ + 347.7, + 457.68, + 363.1, + 465.7 + ] + }, + { + "text": "will", + "bbox_points": [ + 365.44, + 457.68, + 378.75, + 465.7 + ] + }, + { + "text": "help", + "bbox_points": [ + 381.15, + 457.68, + 396.79, + 465.7 + ] + }, + { + "text": "to", + "bbox_points": [ + 399.18, + 457.68, + 406.33, + 465.7 + ] + }, + { + "text": "avoid", + "bbox_points": [ + 408.7, + 457.68, + 428.17, + 465.7 + ] + }, + { + "text": "overfitting", + "bbox_points": [ + 430.53, + 457.4, + 467.04, + 465.7 + ] + }, + { + "text": "and", + "bbox_points": [ + 469.42, + 457.68, + 482.89, + 465.7 + ] + }, + { + "text": "has", + "bbox_points": [ + 485.23, + 457.68, + 497.46, + 465.7 + ] + }, + { + "text": "the", + "bbox_points": [ + 499.69, + 457.68, + 511.01, + 465.7 + ] + }, + { + "text": "potential", + "bbox_points": [ + 513.41, + 457.68, + 545.27, + 465.7 + ] + } + ] + }, + { + "text": "to speed up the training process. This parameter is required by all algorithms", + "bbox_points": [ + 252.74, + 468.17, + 528.76, + 476.18 + ], + "words": [ + { + "text": "to", + "bbox_points": [ + 252.74, + 468.17, + 259.89, + 476.18 + ] + }, + { + "text": "speed", + "bbox_points": [ + 262.32, + 468.17, + 282.8, + 476.18 + ] + }, + { + "text": "up", + "bbox_points": [ + 285.16, + 468.17, + 294.32, + 476.18 + ] + }, + { + "text": "the", + "bbox_points": [ + 296.67, + 468.17, + 307.99, + 476.18 + ] + }, + { + "text": "training", + "bbox_points": [ + 310.39, + 468.17, + 338.25, + 476.18 + ] + }, + { + "text": "process.", + "bbox_points": [ + 340.61, + 468.17, + 369.38, + 476.18 + ] + }, + { + "text": "This", + "bbox_points": [ + 371.73, + 468.17, + 387.13, + 476.18 + ] + }, + { + "text": "parameter", + "bbox_points": [ + 389.54, + 468.17, + 426.11, + 476.18 + ] + }, + { + "text": "is", + "bbox_points": [ + 428.48, + 468.17, + 434.14, + 476.18 + ] + }, + { + "text": "required", + "bbox_points": [ + 436.53, + 468.17, + 466.37, + 476.18 + ] + }, + { + "text": "by", + "bbox_points": [ + 468.74, + 468.17, + 477.15, + 476.18 + ] + }, + { + "text": "all", + "bbox_points": [ + 479.34, + 468.17, + 488.15, + 476.18 + ] + }, + { + "text": "algorithms", + "bbox_points": [ + 490.56, + 468.17, + 528.76, + 476.18 + ] + } + ] + }, + { + "text": "except CatBoost, as they are prone to overfitting.", + "bbox_points": [ + 252.74, + 478.38, + 427.26, + 486.67 + ], + "words": [ + { + "text": "except", + "bbox_points": [ + 252.74, + 478.66, + 275.9, + 486.67 + ] + }, + { + "text": "CatBoost,", + "bbox_points": [ + 278.25, + 478.66, + 312.98, + 486.67 + ] + }, + { + "text": "as", + "bbox_points": [ + 315.38, + 478.66, + 322.87, + 486.67 + ] + }, + { + "text": "they", + "bbox_points": [ + 325.08, + 478.66, + 340.24, + 486.67 + ] + }, + { + "text": "are", + "bbox_points": [ + 342.42, + 478.66, + 353.57, + 486.67 + ] + }, + { + "text": "prone", + "bbox_points": [ + 355.97, + 478.66, + 376.83, + 486.67 + ] + }, + { + "text": "to", + "bbox_points": [ + 379.22, + 478.66, + 386.37, + 486.67 + ] + }, + { + "text": "overfitting.", + "bbox_points": [ + 388.74, + 478.38, + 427.26, + 486.67 + ] + } + ] + }, + { + "text": "Maximum depth 3, 6, 4, 4, 2 Maximum depth refers to the complexity of the decision tree.", + "bbox_points": [ + 43.43, + 492.66, + 464.79, + 500.68 + ], + "words": [ + { + "text": "Maximum", + "bbox_points": [ + 43.43, + 492.66, + 80.4, + 500.68 + ] + }, + { + "text": "depth", + "bbox_points": [ + 82.72, + 492.66, + 103.19, + 500.68 + ] + }, + { + "text": "3,", + "bbox_points": [ + 133.17, + 492.66, + 139.59, + 500.68 + ] + }, + { + "text": "6,", + "bbox_points": [ + 141.96, + 492.66, + 148.38, + 500.68 + ] + }, + { + "text": "4,", + "bbox_points": [ + 150.75, + 492.66, + 157.16, + 500.68 + ] + }, + { + "text": "4,", + "bbox_points": [ + 159.59, + 492.66, + 166.01, + 500.68 + ] + }, + { + "text": "2", + "bbox_points": [ + 168.38, + 492.66, + 172.79, + 500.68 + ] + }, + { + "text": "Maximum", + "bbox_points": [ + 244.74, + 492.66, + 281.71, + 500.68 + ] + }, + { + "text": "depth", + "bbox_points": [ + 284.03, + 492.66, + 304.5, + 500.68 + ] + }, + { + "text": "refers", + "bbox_points": [ + 306.88, + 492.66, + 326.87, + 500.68 + ] + }, + { + "text": "to", + "bbox_points": [ + 329.04, + 492.66, + 336.2, + 500.68 + ] + }, + { + "text": "the", + "bbox_points": [ + 338.57, + 492.66, + 349.89, + 500.68 + ] + }, + { + "text": "complexity", + "bbox_points": [ + 352.29, + 492.66, + 391.6, + 500.68 + ] + }, + { + "text": "of", + "bbox_points": [ + 393.84, + 492.66, + 400.92, + 500.68 + ] + }, + { + "text": "the", + "bbox_points": [ + 403.26, + 492.66, + 414.58, + 500.68 + ] + }, + { + "text": "decision", + "bbox_points": [ + 416.98, + 492.66, + 446.86, + 500.68 + ] + }, + { + "text": "tree.", + "bbox_points": [ + 449.18, + 492.66, + 464.79, + 500.68 + ] + } + ] + }, + { + "text": "(1–15) Higher maximum depths than optimal value may lead to overfitting. CatBoost is", + "bbox_points": [ + 51.48, + 502.87, + 540.89, + 511.16 + ], + "words": [ + { + "text": "(1–15)", + "bbox_points": [ + 51.48, + 502.87, + 74.17, + 511.16 + ] + }, + { + "text": "Higher", + "bbox_points": [ + 252.74, + 503.15, + 277.97, + 511.16 + ] + }, + { + "text": "maximum", + "bbox_points": [ + 280.35, + 503.15, + 316.47, + 511.16 + ] + }, + { + "text": "depths", + "bbox_points": [ + 318.84, + 503.15, + 342.64, + 511.16 + ] + }, + { + "text": "than", + "bbox_points": [ + 344.86, + 503.15, + 361.09, + 511.16 + ] + }, + { + "text": "optimal", + "bbox_points": [ + 363.46, + 503.15, + 391.0, + 511.16 + ] + }, + { + "text": "value", + "bbox_points": [ + 393.33, + 503.15, + 412.56, + 511.16 + ] + }, + { + "text": "may", + "bbox_points": [ + 414.93, + 503.15, + 429.93, + 511.16 + ] + }, + { + "text": "lead", + "bbox_points": [ + 432.28, + 503.15, + 447.35, + 511.16 + ] + }, + { + "text": "to", + "bbox_points": [ + 449.74, + 503.15, + 456.89, + 511.16 + ] + }, + { + "text": "overfitting.", + "bbox_points": [ + 459.27, + 502.87, + 497.79, + 511.16 + ] + }, + { + "text": "CatBoost", + "bbox_points": [ + 500.14, + 503.15, + 532.88, + 511.16 + ] + }, + { + "text": "is", + "bbox_points": [ + 535.24, + 503.15, + 540.89, + 511.16 + ] + } + ] + }, + { + "text": "relatively complex.", + "bbox_points": [ + 252.74, + 513.69, + 320.07, + 521.71 + ], + "words": [ + { + "text": "relatively", + "bbox_points": [ + 252.74, + 513.69, + 285.29, + 521.71 + ] + }, + { + "text": "complex.", + "bbox_points": [ + 287.66, + 513.69, + 320.07, + 521.71 + ] + } + ] + }, + { + "text": "Minimum child NA, NA, 9.1, NA, 7.3 The minimum child weight determines the decision tree partitioning.", + "bbox_points": [ + 43.43, + 527.7, + 492.41, + 535.71 + ], + "words": [ + { + "text": "Minimum", + "bbox_points": [ + 43.43, + 527.7, + 79.15, + 535.71 + ] + }, + { + "text": "child", + "bbox_points": [ + 81.47, + 527.7, + 99.44, + 535.71 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 133.17, + 527.7, + 147.92, + 535.71 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 150.29, + 527.7, + 165.04, + 535.71 + ] + }, + { + "text": "9.1,", + "bbox_points": [ + 167.36, + 527.7, + 180.19, + 535.71 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 182.55, + 527.7, + 197.3, + 535.71 + ] + }, + { + "text": "7.3", + "bbox_points": [ + 199.67, + 527.7, + 210.5, + 535.71 + ] + }, + { + "text": "The", + "bbox_points": [ + 244.74, + 527.7, + 258.49, + 535.71 + ] + }, + { + "text": "minimum", + "bbox_points": [ + 260.84, + 527.7, + 295.82, + 535.71 + ] + }, + { + "text": "child", + "bbox_points": [ + 298.15, + 527.7, + 316.12, + 535.71 + ] + }, + { + "text": "weight", + "bbox_points": [ + 318.5, + 527.7, + 342.27, + 535.71 + ] + }, + { + "text": "determines", + "bbox_points": [ + 344.64, + 527.7, + 384.35, + 535.71 + ] + }, + { + "text": "the", + "bbox_points": [ + 386.53, + 527.7, + 397.85, + 535.71 + ] + }, + { + "text": "decision", + "bbox_points": [ + 400.19, + 527.7, + 430.07, + 535.71 + ] + }, + { + "text": "tree", + "bbox_points": [ + 432.45, + 527.7, + 446.01, + 535.71 + ] + }, + { + "text": "partitioning.", + "bbox_points": [ + 448.38, + 527.7, + 492.41, + 535.71 + ] + } + ] + }, + { + "text": "weight (0–10) With higher values, the tree partitions more conservatively. Lower values", + "bbox_points": [ + 51.48, + 537.9, + 515.72, + 546.2 + ], + "words": [ + { + "text": "weight", + "bbox_points": [ + 51.48, + 538.18, + 75.25, + 546.2 + ] + }, + { + "text": "(0–10)", + "bbox_points": [ + 77.95, + 537.9, + 100.64, + 546.2 + ] + }, + { + "text": "With", + "bbox_points": [ + 252.74, + 538.18, + 270.55, + 546.2 + ] + }, + { + "text": "higher", + "bbox_points": [ + 272.92, + 538.18, + 295.9, + 546.2 + ] + }, + { + "text": "values,", + "bbox_points": [ + 298.26, + 538.18, + 322.81, + 546.2 + ] + }, + { + "text": "the", + "bbox_points": [ + 325.19, + 538.18, + 336.51, + 546.2 + ] + }, + { + "text": "tree", + "bbox_points": [ + 338.85, + 538.18, + 352.41, + 546.2 + ] + }, + { + "text": "partitions", + "bbox_points": [ + 354.79, + 538.18, + 389.14, + 546.2 + ] + }, + { + "text": "more", + "bbox_points": [ + 391.52, + 538.18, + 410.04, + 546.2 + ] + }, + { + "text": "conservatively.", + "bbox_points": [ + 412.44, + 538.18, + 465.35, + 546.2 + ] + }, + { + "text": "Lower", + "bbox_points": [ + 467.77, + 538.18, + 490.81, + 546.2 + ] + }, + { + "text": "values", + "bbox_points": [ + 493.17, + 538.18, + 515.72, + 546.2 + ] + } + ] + }, + { + "text": "generate more decision trees and improve convergence but are more expensive", + "bbox_points": [ + 252.74, + 548.67, + 536.12, + 556.69 + ], + "words": [ + { + "text": "generate", + "bbox_points": [ + 252.74, + 548.67, + 283.01, + 556.69 + ] + }, + { + "text": "more", + "bbox_points": [ + 285.39, + 548.67, + 303.96, + 556.69 + ] + }, + { + "text": "decision", + "bbox_points": [ + 306.31, + 548.67, + 336.19, + 556.69 + ] + }, + { + "text": "trees", + "bbox_points": [ + 338.57, + 548.67, + 355.45, + 556.69 + ] + }, + { + "text": "and", + "bbox_points": [ + 357.79, + 548.67, + 371.27, + 556.69 + ] + }, + { + "text": "improve", + "bbox_points": [ + 373.66, + 548.67, + 402.95, + 556.69 + ] + }, + { + "text": "convergence", + "bbox_points": [ + 405.3, + 548.67, + 450.49, + 556.69 + ] + }, + { + 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@@ +Comparison of the actual and predicted results for Cr removal from wastewater in the presence of different adsorbents: (a) WS, (b) AS, (c) PS, and (d) CS. diff --git a/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_06.jpg b/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6b952bce5e843bdd8541dd263aae38897848eb23 --- /dev/null +++ b/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e0d391e1202f01d46ad4e397f84ff126a9833aec7b39f21de158fb2419e70e2b +size 179894 diff --git a/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_06.txt b/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8e1449c86fd7ab7c3e325525ea7b4d46f0e205a --- /dev/null +++ b/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_06.txt @@ -0,0 +1 @@ +3D plots of lead removal from wastewater in the presence of different adsorbents: (a) WS, (b) AS, (c) PS, and (d) CS. diff --git a/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_07.jpg b/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_07.jpg new file mode 100644 index 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@@ +3D plots of chromium removal from wastewater in the presence of different adsorbents: (a) WS, (b) AS, (c) PS, and (d) CS. diff --git a/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_08.jpg b/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8b1b3f2dd6ab6ca6138b252ac5f13d9736e0a2b1 --- /dev/null +++ b/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6b53b7d96bcfad1029d9ee481f9d95be55567ba39483a8d72caea607e1baa5ba +size 142480 diff --git a/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_08.txt b/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..b26aa39a5db9056d428f2564d78caa744de330eb --- /dev/null +++ b/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/figure_08.txt @@ -0,0 +1 @@ +Graphical comparison of Pb(II) and Cr(VI) removal using various adsorbents. (a) (Akiode et al. 2023), (b) (Zou et al. 2023), (c) (Rahman et al. 2023), (d) (Lin et al. 2013), (e) (Khan et al. 2016), (f) (Sharma et al. 2016), (g) (El Kassimi et al. 2023), (h) (Karri et al. 2020), (i) (Islam et al. 2022), (j) (Ghorbani et al. 2020), (k) (Ghasemi et al. 2014a), (l) (Ghasemi et al. 2014b), (m) (Janyasuthiwong et al. 2015), (n) (Jalali & Aboulghazi 2013), and (o) (Ezeonuegbu et al. 2021). diff --git a/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/graphic_abstract.jpg b/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green adsorb/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ee4be8141166dca7ce9e51cbabf287c8d22cba3f --- /dev/null +++ b/Figures/Mohadesi et al. - 2024 - Simultaneous removal of Pb(II) and Cr(VI) from a steel company wastewater using various green 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"text": "Δ L(IMZ)t 2 0.02 6.83 0.000***", + "bbox_points": [ + 43.43, + 395.61, + 288.39, + 404.58 + ], + "words": [ + { + "text": "Δ", + "bbox_points": [ + 43.43, + 395.61, + 48.17, + 403.61 + ] + }, + { + "text": "L(IMZ)t", + "bbox_points": [ + 50.57, + 395.89, + 79.94, + 404.57 + ] + }, + { + "text": "2", + "bbox_points": [ + 84.53, + 399.23, + 87.84, + 404.58 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 133.63, + 395.89, + 148.87, + 403.91 + ] + }, + { + "text": "6.83", + "bbox_points": [ + 200.07, + 395.89, + 215.32, + 403.91 + ] + }, + { + "text": "0.000***", + "bbox_points": [ + 256.25, + 395.89, + 288.39, + 403.91 + ] + } + ] + }, + { + "text": "Δ L(GDP) 0.12 11.74 0.000***", + "bbox_points": [ + 43.43, + 409.61, + 288.39, + 417.91 + ], + "words": [ + { + "text": "Δ", + "bbox_points": [ + 43.43, + 409.61, + 48.17, + 417.61 + ] + }, + { + "text": "L(GDP)", + "bbox_points": [ + 50.57, + 409.89, + 79.71, + 417.91 + ] + }, + { + "text": "0.12", + "bbox_points": [ + 127.5, + 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[ + { + "text": "Δ", + "bbox_points": [ + 43.43, + 437.62, + 48.17, + 445.62 + ] + }, + { + "text": "L(DEC)", + "bbox_points": [ + 50.57, + 437.9, + 79.2, + 445.91 + ] + }, + { + "text": "0.01", + "bbox_points": [ + 127.5, + 437.9, + 142.75, + 445.91 + ] + }, + { + "text": "6.20", + "bbox_points": [ + 193.89, + 437.9, + 209.14, + 445.91 + ] + }, + { + "text": "0.000***", + "bbox_points": [ + 256.25, + 437.9, + 288.39, + 445.91 + ] + } + ] + }, + { + "text": "Δ L(DEC)t 1 0.03 12.75 0.000***", + "bbox_points": [ + 43.43, + 451.62, + 288.39, + 460.59 + ], + "words": [ + { + "text": "Δ", + "bbox_points": [ + 43.43, + 451.62, + 48.17, + 459.62 + ] + }, + { + "text": "L(DEC)t", + "bbox_points": [ + 50.57, + 451.9, + 81.08, + 460.58 + ] + }, + { + "text": "1", + "bbox_points": [ + 85.72, + 455.25, + 89.03, + 460.59 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 127.5, + 451.9, + 142.75, + 459.92 + ] + }, + { + "text": "12.75", + "bbox_points": [ + 193.89, + 451.9, + 213.55, + 459.92 + ] 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"bbox_points": [ + 127.5, + 479.91, + 142.75, + 487.92 + ] + }, + { + "text": "10.85", + "bbox_points": [ + 193.89, + 479.91, + 213.55, + 487.92 + ] + }, + { + "text": "0.000***", + "bbox_points": [ + 256.25, + 479.91, + 288.39, + 487.92 + ] + } + ] + }, + { + "text": "ECTt 1 0.43 23.49 0.000***", + "bbox_points": [ + 43.43, + 493.85, + 288.39, + 502.6 + ], + "words": [ + { + "text": "ECTt", + "bbox_points": [ + 43.43, + 493.85, + 61.57, + 502.59 + ] + }, + { + "text": "1", + "bbox_points": [ + 66.22, + 497.26, + 69.53, + 502.6 + ] + }, + { + "text": "0.43", + "bbox_points": [ + 133.63, + 493.85, + 148.87, + 501.87 + ] + }, + { + "text": "23.49", + "bbox_points": [ + 200.07, + 493.85, + 219.73, + 501.87 + ] + }, + { + "text": "0.000***", + "bbox_points": [ + 256.25, + 493.85, + 288.39, + 501.87 + ] + } + ] + }, + { + "text": "R2 ¼ 0.98; Adj. R2 ¼ 0.97; SER ¼ 0.002; SSR ¼ 0.000; LL ¼ 252.07; EC ¼ L(U5MR) – (0.56L(ASW) 0.33L(ISF) 1.46L(EDU) þ", + "bbox_points": [ + 43.43, + 506.38, + 540.26, + 515.87 + ], + "words": [ + { + "text": "R2", + "bbox_points": [ + 43.43, + 506.38, + 52.92, + 515.76 + ] + }, + { + "text": "¼", + "bbox_points": [ + 54.48, + 507.58, + 60.64, + 515.58 + ] + }, + { + "text": "0.98;", + "bbox_points": [ + 62.19, + 507.86, + 79.77, + 515.87 + ] + }, + { + "text": "Adj.", + "bbox_points": [ + 82.15, + 507.86, + 96.88, + 515.87 + ] + }, + { + "text": "R2", + "bbox_points": [ + 99.21, + 506.38, + 108.65, + 515.76 + ] + }, + { + "text": "¼", + "bbox_points": [ + 110.27, + 507.58, + 116.43, + 515.58 + ] + }, + { + "text": "0.97;", + "bbox_points": [ + 117.98, + 507.86, + 135.55, + 515.87 + ] + }, + { + "text": "SER", + "bbox_points": [ + 137.88, + 507.86, + 153.69, + 515.87 + ] + }, + { + "text": "¼", + "bbox_points": [ + 155.28, + 507.58, + 161.44, + 515.58 + ] + }, + { + "text": "0.002;", + "bbox_points": [ 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"text": "Source: Author’s computation", + "bbox_points": [ + 64.01, + 285.18, + 145.61, + 291.22 + ], + "words": [ + { + "text": "Source:", + "bbox_points": [ + 64.01, + 285.18, + 84.36, + 291.18 + ] + }, + { + "text": "Author’s", + "bbox_points": [ + 86.29, + 285.18, + 109.34, + 291.22 + ] + }, + { + "text": "computation", + "bbox_points": [ + 111.34, + 285.22, + 145.61, + 291.22 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Mohamed - 2024 - Contribution of water, sanitation, hygiene and basic education to reduce under-five mortality in Sud/table_05.txt b/Figures/Mohamed - 2024 - Contribution of water, sanitation, hygiene and basic education to reduce under-five mortality in Sud/table_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a69170f5bc879a18c1b0ddd1bd00e370aaa5428 --- /dev/null +++ b/Figures/Mohamed - 2024 - Contribution of water, sanitation, hygiene and basic education to reduce under-five mortality in Sud/table_05.txt @@ 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criteria for test results of abovementioned nodes diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_01.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..36a1e29750e9917bda5605e6c09b01c52eef6510 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:563b93f4a6dcfd1d00675d5699f805b38ff7825e21cf564c41332a5d123e9ccf +size 111124 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_01.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..fc6ae92e6e4bd68b20eaa16cb45320029a42cb6a --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_01.txt" @@ -0,0 +1 @@ +Structure models of I–S described by McEwan crystallite and fundamental particles (Wang & Wang 2021). diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_02.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..a76a22ed8f36e53968ecfc6253b90816518501fe --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2b8d18b738245fbedc904843a4004bb376852d268f068d8d28eec8de2d051bb7 +size 59954 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_02.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..e729532dd9958dc39891dd96c96df166641fe73e --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_02.txt" @@ -0,0 +1 @@ +XRD pattern of TIMN sample (a). Inset : XRD pattern of IMN sample (b). diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_03.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..4ccbd3cbf97f25ed444ae201d9aa0172bb48a5de --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:af280dff861d587b06045c14c9074d84b8248bb993dbab6823e82a2a0fbd64de +size 34912 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_03.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..1d221db06aab22aba5cb956ed9a0ffeec2db445f --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_03.txt" @@ -0,0 +1 @@ +FTIR spectrum of IMN clay samples. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_04.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..5841fa9ca7c14d8356ac9dc42424dfb5f874b625 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f7944cf60f06554204c9b36b40c4be78ba2e7f03069b0a5d56e07946c5505e97 +size 43671 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_04.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..740e7d65a48c2da17f18cc8ae8bebe68e6321d09 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_04.txt" @@ -0,0 +1 @@ +Conductivity measurement of IMN and TIMN clay samples. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_05.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..1446fdd585d922c4acc997d3a7905b4e1f51bda0 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b1c07306151e691c2d96732b07808a531ae79585a4b2b4d58b0bd878c93a44ee +size 181481 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_05.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d0d475390d7cb5ccf6de0c82a994b6162d0020c7 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_05.txt" @@ -0,0 +1 @@ +SEM images of IMN (a–d) and TIMN (e–h) clay samples. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_06.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..d2bae1aaabe714ca741f005ff704bf47ae03d08d --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:38e4c22fdb06f1387ed50d4b73b20c1cda9cda804fcd297b84b665d753037a30 +size 73319 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_06.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..11efaab7d44598617206015194a2f27c300a0475 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_06.txt" @@ -0,0 +1 @@ +EDS spectrum of IMN clay samples. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_07.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_07.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..dc6800d16680e4cfd8b15859b1f392242728aa28 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_07.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b6fa37e6385decd9552a8b76bb75cd6b5e2533e345132c1f269adffab19224a2 +size 58968 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_07.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_07.txt" new file mode 100644 index 0000000000000000000000000000000000000000..f531a074d8a824017964693d63bd6b932b69eda6 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_07.txt" @@ -0,0 +1 @@ +EDX spectrum of TIMN clay samples. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_08.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_08.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..f1c1840a55568af8ceee78f1fea793c6e1af23e3 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_08.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:35271ae6fe83dc040f0a20369f5f6b50019cee685d24f578ecf1e65aa707def6 +size 41257 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_08.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_08.txt" new file mode 100644 index 0000000000000000000000000000000000000000..39973f81085d0bfaef60907a8a534920261c6723 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_08.txt" @@ -0,0 +1 @@ +The mass loss (DSC-TG) and heat flow curves of the IMN clay sample. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_09.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_09.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..d801d958004698696804578bc891b4e2379fa4ba --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_09.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:65b703836940145a4a098008056a28acd132759ba411ff5c6f253ad624164767 +size 30946 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_09.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_09.txt" new file mode 100644 index 0000000000000000000000000000000000000000..823c46d288100eebd0071055fdeccf88fac0542a --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_09.txt" @@ -0,0 +1 @@ +The adsorption kinetic of MB onto IMN sample (m ¼ 104 kg; C0 ¼ 0.04 kg m3, T ¼ 16 °C and pH ¼ 7). diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_10.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_10.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..349cce54e2ce2b6c98e80f7cd2cb3226bfd3d23f --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_10.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fce8a93ed75182498286127ba77a0135a5d7e09e79aadd932b3ab613f4b61806 +size 43643 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_10.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_10.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d5f511b4927b6b2ceb152341a6dce5504ff5cc26 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_10.txt" @@ -0,0 +1 @@ +Effect of the initial concentration of MB onto IMN and TIMN clay samples. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_11.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_11.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..a6c47cea8cc937f2680fb190a8b208939d664564 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_11.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:46afe104603c39c6f2be4bb49dcc2c6da3d9bbfeac1a98b8643041096969dbcf +size 91490 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_11.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_11.txt" new file mode 100644 index 0000000000000000000000000000000000000000..ee884ee1320bd6fb7cec2d08d2098773a6e9099c --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_11.txt" @@ -0,0 +1 @@ +(a) Plot of Ln (qe – qt) vs time for the kinetic of MB adsorption onto IMN sample at different initial dye concen- trations, (b) plot of t/qt vs time for the kinetic of MB adsorption onto IMN sample at different initial dye concentrations, and (c) plot of qt vs Ln t for the kinetic of MB adsorption onto IMN sample at different initial dye concentrations. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_12.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_12.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..d1611d36a53a2c66190513fd12df2b13ee5bfe6f --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_12.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:827909dc1387a30c6a280ce513ea522486dfef981a531a454e15fb28c4d14025 +size 42375 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_12.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_12.txt" new file mode 100644 index 0000000000000000000000000000000000000000..8ef19733a449b2e406801a810faf5235562da77e --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_12.txt" @@ -0,0 +1 @@ +Adsorption isotherms for MB dye onto IMN and TIMN clay samples. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_13.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_13.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..7bace81c8266cfea9f65970b10d9151cf10b8ef3 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_13.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eb4a840bf7b23805d9c4f514fcac58f5e929d1cd744e65d5df74e8f9dce12da6 +size 95342 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_13.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_13.txt" new file mode 100644 index 0000000000000000000000000000000000000000..983cbadb07ab8148a777c56fe93abd55c87d125c --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_13.txt" @@ -0,0 +1 @@ +(a) Plot of 1/qe vs 1/Ce for the kinetic of MB adsorption onto IMN and TIMN caly samples, (b) plot of Ln qe vs Ln Ce for the kinetic of MB adsorption onto IMN and TIMN caly samples, (c) plot of Ln qe vs ε2 for the kinetic of MB adsorption onto IMN and TIMN clay samples. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_14.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_14.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..215bc08bd62a86a367ec2e02a09662b161e951eb --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_14.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:aa1957fbf54aab269c89b7978e64f27c5faca197ada976fb8e5ba690c0154f17 +size 33463 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_14.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_14.txt" new file mode 100644 index 0000000000000000000000000000000000000000..f0a4d07f0e1518ae8488ac8d00444898928ace98 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_14.txt" @@ -0,0 +1 @@ +Effect of the temperature on the adsorption of MB onto TIMN clay samples. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_15.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_15.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..397d398577f1f53052458a84fd1538fbc10f0088 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_15.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cca841f72a4102ab8a894e796b8aaaa9d8699caf6bb0fae6ab37522b48bae41e +size 30298 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_15.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_15.txt" new file mode 100644 index 0000000000000000000000000000000000000000..a22ade7fe70487c6611315750abcc90d2130874a --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_15.txt" @@ -0,0 +1 @@ +Plot of Ln Kd vs 1/T for the kinetic of MB adsorption onto TIMN caly samples. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_16.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_16.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..44be756ff153d3418599e2d773032c3253ae3c52 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_16.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b0de0792118a4e1ad7a51e74c17e6263db8d175b070a2dc262d81167d2c72c0a +size 161083 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_16.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_16.txt" new file mode 100644 index 0000000000000000000000000000000000000000..dfaba95c8e6d31d0e7e85a2c5368830df2e415ac --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/figure_16.txt" @@ -0,0 +1 @@ +Schematic of the possible interactions between methylene blue (MB) and TIMN clay samples. diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/graphic_abstract.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/graphic_abstract.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..64791575f28a90c4acb6b0ad42b784fa17c75650 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/graphic_abstract.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4880938a0e1b61aec26e6a472e7cd870d3d2c82b206ef8e56d5d8294ab8aa2fd +size 164072 diff --git "a/Figures/Mohamed et al. - 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"text": "61-73-4", + "bbox_points": [ + 395.66, + 729.98, + 421.9, + 738.0 + ], + "words": [ + { + "text": "61-73-4", + "bbox_points": [ + 395.66, + 729.98, + 421.9, + 738.0 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_01.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..2c255fef3c6b74c386d890eddb6c3ee6e5f84123 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_01.txt" @@ -0,0 +1 @@ +3D Molecular structure and physical properties of methylene blue dye (MB) (3D molecular structure was 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"column_count": null, + "cells": null, + "text_rows": [ + { + "text": "I.S IMNa TIMNa K I K OM S LS to SL L C", + "bbox_points": [ + 70.87, + 633.92, + 513.11, + 641.19 + ], + "words": [ + { + "text": "I.S", + "bbox_points": [ + 70.87, + 635.19, + 78.48, + 641.19 + ] + }, + { + "text": "IMNa", + "bbox_points": [ + 163.67, + 633.92, + 179.15, + 641.19 + ] + }, + { + "text": "TIMNa", + "bbox_points": [ + 202.51, + 633.92, + 221.38, + 641.19 + ] + }, + { + "text": "K", + "bbox_points": [ + 238.62, + 635.19, + 242.93, + 641.19 + ] + }, + { + "text": "I", + "bbox_points": [ + 273.03, + 635.19, + 275.03, + 641.19 + ] + }, + { + "text": "K", + "bbox_points": [ + 311.87, + 635.19, + 316.18, + 641.19 + ] + }, + { + "text": "OM", + "bbox_points": [ + 355.07, + 635.19, + 365.69, + 641.19 + ] + }, + { + "text": "S", + "bbox_points": [ + 402.69, + 635.19, + 406.56, + 641.19 + ] + }, + { + "text": "LS", + "bbox_points": [ + 432.74, + 635.19, + 439.79, + 641.19 + ] + }, + { + "text": "to", + 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mode 100644 index 0000000000000000000000000000000000000000..1d6a3343fbff1eae6d2eb2e001b277216b2d92c7 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_02.txt" @@ -0,0 +1 @@ +Cation exchange capacity (CEC) values of IMN, TIMN and clay minerals and reported materials in the literature diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_03.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..61d504dd6023d70dcf2a224636f64471548cd2e7 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the 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surface acidity of IMN clay sample", + "page": 8, + "table_bbox_points": [ + 67.87, + 246.56, + 527.41, + 299.39 + ], + "caption_bbox_points": [ + 70.87, + 238.34, + 248.64, + 246.56 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 3, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "pH 5.45 5.55 5.59 5.62 5.83 5.90 6.2 7.5", + "bbox_points": [ + 70.87, + 267.25, + 524.41, + 275.27 + ], + "words": [ + { + "text": "pH", + "bbox_points": [ + 70.87, + 267.25, + 82.44, + 275.27 + ] + }, + { + "text": "5.45", + "bbox_points": [ + 154.6, + 267.25, + 169.85, + 275.27 + ] + }, + { + "text": "5.55", + "bbox_points": [ + 205.91, + 267.25, + 221.15, + 275.27 + ] + }, + { + "text": "5.59", + "bbox_points": [ + 257.21, + 267.25, + 272.46, + 275.27 + ] + }, + { + "text": "5.62", + "bbox_points": [ + 308.46, + 267.25, + 323.71, + 275.27 + ] + }, + { + "text": 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diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_03.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..da23cdae2fd91ec3501a4720d65e9af74cd80814 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_03.txt" @@ -0,0 +1 @@ +The surface acidity of IMN clay sample diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_04.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the 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+Physico-chemical properties of the IMN and TIMN clay samples diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_05.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..e1efc5be657d690390b3664d07312cb528aa7692 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:179809e426a0af1f38a0327f431c70cc1038861f04e822851f5e07bfff2aa562 +size 56889 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_05.json" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_05.json" new file mode 100644 index 0000000000000000000000000000000000000000..f8e3b864947c46cd5e4cd299d7c4f54b359bea94 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_05.json" @@ -0,0 +1,968 @@ +{ + "kind": "table", + "label": "table_05", + "number": 5, + "caption": "Energy-dispersive X-ray test results of the IMN and TIMN clay samples", + "page": 13, + "table_bbox_points": [ + 67.87, + 398.5, + 527.41, + 616.36 + ], + "caption_bbox_points": [ + 70.87, + 390.28, + 363.47, + 398.5 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 15, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Composition", + "bbox_points": [ + 191.62, + 413.07, + 230.96, + 419.07 + ], + "words": [ + { + "text": "Composition", + "bbox_points": [ + 191.62, + 413.07, + 230.96, + 419.07 + ] + } + ] + }, + { + "text": "IMN TIMN", + "bbox_points": [ + 191.62, + 428.09, + 403.9, + 434.09 + ], + "words": [ + { + "text": "IMN", + "bbox_points": [ + 191.62, + 428.09, + 204.37, + 434.09 + ] + }, + { + "text": "TIMN", + "bbox_points": [ + 387.72, + 428.09, + 403.9, + 434.09 + ] + } + ] + }, + { + "text": "Elements Net wt (%) Normal wt (%) Net wt (%) Normal wt (%)", + "bbox_points": [ + 70.87, + 443.06, + 524.4, + 449.06 + ], + "words": [ + { + "text": "Elements", + "bbox_points": [ + 70.87, + 443.06, + 99.79, + 449.06 + ] + }, + { + "text": "Net", + "bbox_points": [ + 191.62, + 443.06, + 202.74, + 449.06 + ] + }, + { + "text": "wt", + "bbox_points": [ + 204.72, + 443.06, + 213.21, + 449.06 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 215.38, + 443.06, + 224.55, + 449.06 + ] + }, + { + "text": "Normal", + "bbox_points": [ + 283.92, + 443.06, + 306.53, + 449.06 + ] + }, + { + "text": "wt", + "bbox_points": [ + 308.52, + 443.06, + 317.02, + 449.06 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 319.12, + 443.06, + 328.3, + 449.06 + ] + }, + { + "text": "Net", + "bbox_points": [ + 387.72, + 443.06, + 398.84, + 449.06 + ] + }, + { + "text": "wt", + "bbox_points": [ + 400.82, + 443.06, + 409.31, + 449.06 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 411.42, + 443.06, + 420.59, + 449.06 + ] + }, + { + "text": "Normal", + "bbox_points": [ + 480.02, + 443.06, + 502.62, + 449.06 + ] + }, + { + "text": "wt", + "bbox_points": [ + 504.62, + 443.06, + 513.12, + 449.06 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 515.22, + 443.06, + 524.4, + 449.06 + ] + } + ] + }, + { + "text": "Silicium (Si) 19.75 19.29 19.74 19.54", + "bbox_points": [ + 70.87, + 458.2, + 499.68, + 466.21 + ], + "words": [ + { + "text": "Silicium", + "bbox_points": [ + 70.87, + 458.2, + 100.5, + 466.21 + ] + }, + { + "text": "(Si)", + "bbox_points": [ + 102.84, + 458.2, + 115.4, + 466.21 + ] + }, + { + "text": "19.75", + "bbox_points": [ + 191.62, + 458.2, + 211.29, + 466.21 + ] + }, + { + "text": "19.29", + "bbox_points": [ + 283.92, + 458.2, + 303.58, + 466.21 + ] + }, + { + "text": "19.74", + "bbox_points": [ + 387.72, + 458.2, + 407.39, + 466.21 + ] + }, + { + "text": "19.54", + "bbox_points": [ + 480.02, + 458.2, + 499.68, + 466.21 + ] + } + ] + }, + { + "text": "Oxygen (O) 47.95 46.81 47.41 46.93", + "bbox_points": [ + 70.87, + 472.2, + 499.68, + 480.21 + ], + "words": [ + { + "text": "Oxygen", + "bbox_points": [ + 70.87, + 472.2, + 98.51, + 480.21 + ] + }, + { + "text": "(O)", + "bbox_points": [ + 100.86, + 472.2, + 113.09, + 480.21 + ] + }, + { + "text": "47.95", + "bbox_points": [ + 191.62, + 472.2, + 211.29, + 480.21 + ] + }, + { + "text": "46.81", + "bbox_points": [ + 283.92, + 472.2, + 303.58, + 480.21 + ] + }, + { + "text": "47.41", + "bbox_points": [ + 387.72, + 472.2, + 407.39, + 480.21 + ] + }, + { + "text": "46.93", + "bbox_points": [ + 480.02, + 472.2, + 499.68, + 480.21 + ] + } + ] + }, + { + "text": "Aluminum (Al) 7.56 7.39 7.56 7.48", + "bbox_points": [ + 70.87, + 486.2, + 495.26, + 494.22 + ], + "words": [ + { + "text": "Aluminum", + "bbox_points": [ + 70.87, + 486.2, + 109.33, + 494.22 + ] + }, + { + "text": "(Al)", + "bbox_points": [ + 111.74, + 486.2, + 125.82, + 494.22 + ] + }, + { + "text": "7.56", + "bbox_points": [ + 191.62, + 486.2, + 206.87, + 494.22 + ] + }, + { + "text": "7.39", + "bbox_points": [ + 283.92, + 486.2, + 299.16, + 494.22 + ] + }, + { + "text": "7.56", + "bbox_points": [ + 387.72, + 486.2, + 402.97, + 494.22 + ] + }, + { + "text": "7.48", + "bbox_points": [ + 480.02, + 486.2, + 495.26, + 494.22 + ] + } + ] + }, + { + "text": "Potassium (K) 3.68 3.59 3.65 3.61", + "bbox_points": [ + 70.87, + 500.2, + 495.27, + 508.22 + ], + "words": [ + { + "text": "Potassium", + "bbox_points": [ + 70.87, + 500.2, + 107.56, + 508.22 + ] + }, + { + "text": "(K)", + "bbox_points": [ + 109.93, + 500.2, + 121.42, + 508.22 + ] + }, + { + "text": "3.68", + "bbox_points": [ + 191.62, + 500.2, + 206.87, + 508.22 + ] + }, + { + "text": "3.59", + "bbox_points": [ + 283.92, + 500.2, + 299.17, + 508.22 + ] + }, + { + "text": "3.65", + "bbox_points": [ + 387.72, + 500.2, + 402.97, + 508.22 + ] + }, + { + "text": "3.61", + "bbox_points": [ + 480.02, + 500.2, + 495.27, + 508.22 + ] + } + ] + }, + { + "text": "Iron (Fe) 3.48 3.39 3.57 3.54", + "bbox_points": [ + 70.87, + 514.21, + 495.26, + 522.22 + ], + "words": [ + { + "text": "Iron", + "bbox_points": [ + 70.87, + 514.21, + 86.31, + 522.22 + ] + }, + { + "text": "(Fe)", + "bbox_points": [ + 88.72, + 514.21, + 102.78, + 522.22 + ] + }, + { + "text": "3.48", + "bbox_points": [ + 191.62, + 514.21, + 206.87, + 522.22 + ] + }, + { + "text": "3.39", + "bbox_points": [ + 283.92, + 514.21, + 299.16, + 522.22 + ] + }, + { + "text": "3.57", + "bbox_points": [ + 387.72, + 514.21, + 402.97, + 522.22 + ] + }, + { + "text": "3.54", + "bbox_points": [ + 480.02, + 514.21, + 495.26, + 522.22 + ] + } + ] + }, + { + "text": "Carbon (C) 14.76 14.42 14.33 14.18", + "bbox_points": [ + 70.87, + 528.21, + 499.68, + 536.23 + ], + "words": [ + { + "text": "Carbon", + "bbox_points": [ + 70.87, + 528.21, + 97.67, + 536.23 + ] + }, + { + "text": "(C)", + "bbox_points": [ + 100.01, + 528.21, + 111.24, + 536.23 + ] + }, + { + "text": "14.76", + "bbox_points": [ + 191.62, + 528.21, + 211.29, + 536.23 + ] + }, + { + "text": "14.42", + "bbox_points": [ + 283.92, + 528.21, + 303.58, + 536.23 + ] + }, + { + "text": "14.33", + "bbox_points": [ + 387.72, + 528.21, + 407.39, + 536.23 + ] + }, + { + "text": "14.18", + "bbox_points": [ + 480.02, + 528.21, + 499.68, + 536.23 + ] + } + ] + }, + { + "text": "Magnesium (Mg) 1.29 1.26 1.29 1.27", + "bbox_points": [ + 70.87, + 542.21, + 495.26, + 550.23 + ], + "words": [ + { + "text": "Magnesium", + "bbox_points": [ + 70.87, + 542.21, + 112.66, + 550.23 + ] + }, + { + "text": "(Mg)", + "bbox_points": [ + 115.03, + 542.21, + 132.26, + 550.23 + ] + }, + { + "text": "1.29", + "bbox_points": [ + 191.62, + 542.21, + 206.87, + 550.23 + ] + }, + { + "text": "1.26", + "bbox_points": [ + 283.92, + 542.21, + 299.16, + 550.23 + ] + }, + { + "text": "1.29", + "bbox_points": [ + 387.72, + 542.21, + 402.97, + 550.23 + ] + }, + { + "text": "1.27", + "bbox_points": [ + 480.02, + 542.21, + 495.26, + 550.23 + ] + } + ] + }, + { + "text": "Titanium (Ti) 0.39 0.39 nd nd", + "bbox_points": [ + 70.87, + 556.22, + 489.34, + 564.23 + ], + "words": [ + { + "text": "Titanium", + "bbox_points": [ + 70.87, + 556.22, + 103.58, + 564.23 + ] + }, + { + "text": "(Ti)", + "bbox_points": [ + 105.9, + 556.22, + 118.72, + 564.23 + ] + }, + { + "text": "0.39", + "bbox_points": [ + 191.62, + 556.22, + 206.87, + 564.23 + ] + }, + { + "text": "0.39", + "bbox_points": [ + 283.92, + 556.22, + 299.17, + 564.23 + ] + }, + { + "text": "nd", + "bbox_points": [ + 387.72, + 556.22, + 397.04, + 564.23 + ] + }, + { + "text": "nd", + "bbox_points": [ + 480.02, + 556.22, + 489.34, + 564.23 + ] + } + ] + }, + { + "text": "Sodium (Na) nd nd nd Nd", + "bbox_points": [ + 70.87, + 570.22, + 491.34, + 578.24 + ], + "words": [ + { + "text": "Sodium", + "bbox_points": [ + 70.87, + 570.22, + 98.67, + 578.24 + ] + }, + { + "text": "(Na)", + "bbox_points": [ + 101.03, + 570.22, + 117.42, + 578.24 + ] + }, + { + "text": "nd", + "bbox_points": [ + 191.62, + 570.22, + 200.94, + 578.24 + ] + }, + { + "text": "nd", + "bbox_points": [ + 283.92, + 570.22, + 293.24, + 578.24 + ] + }, + { + "text": "nd", + "bbox_points": [ + 387.72, + 570.22, + 397.04, + 578.24 + ] + }, + { + "text": "Nd", + "bbox_points": [ + 480.02, + 570.22, + 491.34, + 578.24 + ] + } + ] + }, + { + "text": "Calcium (Ca) 3.56 3.47 3.48 3.44", + "bbox_points": [ + 70.87, + 584.22, + 495.27, + 592.24 + ], + "words": [ + { + "text": "Calcium", + "bbox_points": [ + 70.87, + 584.22, + 101.0, + 592.24 + ] + }, + { + "text": "(Ca)", + "bbox_points": [ + 103.35, + 584.22, + 118.74, + 592.24 + ] + }, + { + "text": "3.56", + "bbox_points": [ + 191.62, + 584.22, + 206.87, + 592.24 + ] + }, + { + "text": "3.47", + "bbox_points": [ + 283.92, + 584.22, + 299.17, + 592.24 + ] + }, + { + "text": "3.48", + "bbox_points": [ + 387.72, + 584.22, + 402.97, + 592.24 + ] + }, + { + "text": "3.44", + "bbox_points": [ + 480.02, + 584.22, + 495.27, + 592.24 + ] + } + ] + }, + { + "text": "Total Wt (%) 102.42 100 101.02 100", + "bbox_points": [ + 70.87, + 598.23, + 493.26, + 606.24 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 70.87, + 598.23, + 89.33, + 606.24 + ] + }, + { + "text": "Wt", + "bbox_points": [ + 91.73, + 598.23, + 102.63, + 606.24 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 105.34, + 598.23, + 117.82, + 606.24 + ] + }, + { + "text": "102.42", + "bbox_points": [ + 191.62, + 598.23, + 215.7, + 606.24 + ] + }, + { + "text": "100", + "bbox_points": [ + 283.92, + 598.23, + 297.16, + 606.24 + ] + }, + { + "text": "101.02", + "bbox_points": [ + 387.72, + 598.23, + 411.8, + 606.24 + ] + }, + { + "text": "100", + "bbox_points": [ + 480.02, + 598.23, + 493.26, + 606.24 + ] + } + ] + }, + { + "text": "nd not detected", + "bbox_points": [ + 70.87, + 614.55, + 116.27, + 620.55 + ], + "words": [ + { + "text": "nd", + "bbox_points": [ + 70.87, + 614.55, + 77.73, + 620.55 + ] + }, + { + "text": "not", + "bbox_points": [ + 81.35, + 614.55, + 90.28, + 620.55 + ] + }, + { + "text": "detected", + "bbox_points": [ + 92.3, + 614.55, + 116.27, + 620.55 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_05.txt" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..813acc221e1d8c77a5ee8a7eb3d17ee9f2c82c21 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_05.txt" @@ -0,0 +1 @@ +Energy-dispersive X-ray test results of the IMN and TIMN clay samples diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_06.jpg" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..8e7b8969aa46e083295b786fa5ddd5987cfc172a --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d2e39df2ebd1e44d16c9f51d5560d2527a426486ca3221fedee3169fbbff7558 +size 21625 diff --git "a/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_06.json" "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_06.json" new file mode 100644 index 0000000000000000000000000000000000000000..6ab77b3d3a24e6f1c475476848be8282f9759ae0 --- /dev/null +++ "b/Figures/Mohamed et al. - 2024 - Characterization and applicability of the Naima\342\200\223Tiaret\342\200\223Algeria illite-montmorillonite clay for methy/table_06.json" @@ -0,0 +1,457 @@ +{ + "kind": "table", + "label": "table_06", + "number": 6, + "caption": "The position of the absorption bands of MB in aqueous solution as a function of pH ([MB] ¼ 0.05 kg m\u00033 and T ¼ 25 °C)", + "page": 15, + "table_bbox_points": [ + 67.87, + 159.14, + 527.41, + 276.99 + ], + "caption_bbox_points": [ + 70.87, + 147.57, + 524.4, + 159.14 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 7, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Initial pH λ (MBþ) ( 10 6 m) λ (MBþ)2 ( 10 6 m) R", + "bbox_points": [ + 70.87, + 172.44, + 508.86, + 180.37 + ], + "words": [ + { + "text": "Initial", + "bbox_points": [ + 70.87, + 173.71, + 88.72, + 179.71 + ] + }, + { + "text": "pH", + "bbox_points": [ + 90.71, + 173.71, + 99.2, + 179.71 + ] + }, + { + "text": "λ", + "bbox_points": [ + 200.07, + 172.87, + 203.86, + 179.87 + ] + }, + { + "text": "(MBþ)", + "bbox_points": [ + 205.85, + 173.71, + 221.01, + 180.37 + ] + }, + { + "text": 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(2021) 7 stations 30 1, 3, and • DS: LARS-WG • Slightly positive trends of", + "bbox_points": [ + 43.43, + 519.91, + 532.39, + 531.91 + ], + "words": [ + { + "text": "Mirgol", + "bbox_points": [ + 43.43, + 522.88, + 67.56, + 530.9 + ] + }, + { + "text": "et", + "bbox_points": [ + 69.96, + 522.78, + 76.28, + 530.78 + ] + }, + { + "text": "al.", + "bbox_points": [ + 78.63, + 522.78, + 87.55, + 530.78 + ] + }, + { + "text": "(2021)", + "bbox_points": [ + 89.92, + 522.88, + 113.07, + 530.9 + ] + }, + { + "text": "7", + "bbox_points": [ + 178.64, + 522.88, + 183.06, + 530.9 + ] + }, + { + "text": "stations", + "bbox_points": [ + 185.44, + 522.88, + 212.69, + 530.9 + ] + }, + { + "text": "30", + "bbox_points": [ + 236.86, + 522.88, + 245.7, + 530.9 + ] + }, + { + "text": "1,", + "bbox_points": [ + 281.76, + 522.88, + 288.18, + 530.9 + ] + }, + { + "text": "3,", + "bbox_points": [ + 290.55, + 522.88, + 296.97, + 530.9 + ] + }, + { + "text": "and", + "bbox_points": [ + 299.4, + 522.88, + 312.88, + 530.9 + ] + }, + { + "text": "•", + "bbox_points": [ + 325.25, + 519.91, + 328.99, + 531.91 + ] + }, + { + "text": "DS:", + "bbox_points": [ + 333.01, + 522.85, + 347.3, + 530.9 + ] + }, + { + "text": "LARS-WG", + "bbox_points": [ + 349.68, + 522.88, + 388.48, + 530.9 + ] + }, + { + "text": "•", + "bbox_points": [ + 433.53, + 519.91, + 437.27, + 531.91 + ] + }, + { + "text": "Slightly", + "bbox_points": [ + 441.3, + 522.88, + 468.35, + 530.9 + ] + }, + { + "text": "positive", + "bbox_points": [ + 470.72, + 522.88, + 498.36, + 530.9 + ] + }, + { + "text": "trends", + "bbox_points": [ + 500.77, + 522.88, + 522.97, + 530.9 + ] + }, + { + "text": "of", + "bbox_points": [ + 525.32, + 522.88, + 532.39, + 530.9 + ] + } + ] + }, + { + "text": "Investigated the spatial and 12 • GCM: 5 CMIP5 GCMs SPI in three stations during", + "bbox_points": [ + 43.43, + 530.4, + 539.74, + 542.4 + ], + "words": [ + { + "text": "Investigated", + "bbox_points": [ + 43.43, + 533.37, + 86.5, + 541.38 + ] 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"bbox_points": [ + 466.02, + 533.37, + 484.33, + 541.39 + ] + }, + { + "text": "stations", + "bbox_points": [ + 486.71, + 533.37, + 513.96, + 541.39 + ] + }, + { + "text": "during", + "bbox_points": [ + 516.36, + 533.37, + 539.74, + 541.39 + ] + } + ] + }, + { + "text": "temporal drought conditions • Scen: RCP 2.6, RCP 4.5, 2051–2080 under RCP 8.5", + "bbox_points": [ + 43.43, + 540.89, + 535.81, + 552.89 + ], + "words": [ + { + "text": "temporal", + "bbox_points": [ + 43.43, + 543.86, + 75.6, + 551.87 + ] + }, + { + "text": "drought", + "bbox_points": [ + 78.01, + 543.86, + 106.02, + 551.87 + ] + }, + { + "text": "conditions", + "bbox_points": [ + 108.4, + 543.86, + 146.17, + 551.87 + ] + }, + { + "text": "•", + "bbox_points": [ + 325.25, + 540.89, + 328.99, + 552.89 + ] + }, + { + "text": "Scen:", + "bbox_points": [ + 333.01, + 543.83, + 353.43, + 551.87 + ] + }, + { + "text": "RCP", + "bbox_points": [ + 355.86, + 543.86, + 372.18, + 551.87 + ] + }, + { + "text": "2.6,", + "bbox_points": [ + 374.51, + 543.86, + 387.34, + 551.87 + ] + }, + { + "text": "RCP", + "bbox_points": [ + 389.71, + 543.86, + 406.03, + 551.87 + ] + }, + { + "text": "4.5,", + "bbox_points": [ + 408.41, + 543.86, + 421.25, + 551.87 + ] + }, + { + "text": "2051–2080", + "bbox_points": [ + 441.3, + 543.58, + 480.56, + 551.87 + ] + }, + { + "text": "under", + "bbox_points": [ + 482.91, + 543.86, + 503.97, + 551.87 + ] + }, + { + "text": "RCP", + "bbox_points": [ + 506.32, + 543.86, + 522.64, + 551.87 + ] + }, + { + "text": "8.5", + "bbox_points": [ + 524.98, + 543.86, + 535.81, + 551.87 + ] + } + ] + }, + { + "text": "and RCP 8.5 • SPEI predicts more drought", + "bbox_points": [ + 333.01, + 551.38, + 541.76, + 563.38 + ], + "words": [ + { + "text": "and", + "bbox_points": [ + 333.01, + 554.4, + 346.49, + 562.42 + ] + }, + { + "text": "RCP", + "bbox_points": [ + 348.89, + 554.4, + 365.21, + 562.42 + ] + }, + { + "text": "8.5", + "bbox_points": [ + 367.54, + 554.4, + 378.37, + 562.42 + ] + }, + { + "text": "•", + "bbox_points": [ + 433.53, + 551.38, + 437.27, + 563.38 + ] + }, + { + "text": "SPEI", + "bbox_points": [ + 441.3, + 554.4, + 459.7, + 562.42 + ] + }, + { + "text": "predicts", + "bbox_points": [ + 462.05, + 554.4, + 490.39, + 562.42 + ] + }, + { + "text": "more", + "bbox_points": [ + 492.77, + 554.4, + 511.34, + 562.42 + ] + }, + { + "text": "drought", + "bbox_points": [ + 513.69, + 554.4, + 541.76, + 562.42 + ] + } + ] + }, + { + "text": "• Period: Base, near, and events than the SPI", + "bbox_points": [ + 325.25, + 561.92, + 511.35, + 573.92 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 325.25, + 561.92, + 328.99, + 573.92 + ] + }, + { + "text": "Period:", + "bbox_points": [ + 333.01, + 564.86, + 359.78, + 572.91 + ] + }, + { + "text": "Base,", + "bbox_points": [ + 362.15, + 564.89, + 381.22, + 572.91 + ] + }, + { + "text": "near,", + "bbox_points": [ + 383.58, + 564.89, + 401.65, + 572.91 + ] + }, + { + "text": "and", + "bbox_points": [ + 403.99, 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"bbox_points": [ + 509.9, + 575.38, + 532.28, + 583.4 + ] + } + ] + }, + { + "text": "• Worked out joint encounter fewer droughts", + "bbox_points": [ + 325.25, + 582.9, + 533.35, + 594.9 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 325.25, + 582.9, + 328.99, + 594.9 + ] + }, + { + "text": "Worked", + "bbox_points": [ + 333.01, + 585.84, + 362.27, + 593.84 + ] + }, + { + "text": "out", + "bbox_points": [ + 364.65, + 585.84, + 376.97, + 593.84 + ] + }, + { + "text": "joint", + "bbox_points": [ + 379.33, + 585.87, + 395.72, + 593.88 + ] + }, + { + "text": "encounter", + "bbox_points": [ + 441.3, + 585.87, + 477.67, + 593.88 + ] + }, + { + "text": "fewer", + "bbox_points": [ + 480.02, + 585.87, + 499.59, + 593.88 + ] + }, + { + "text": "droughts", + "bbox_points": [ + 502.02, + 585.87, + 533.35, + 593.88 + ] + } + ] + }, + { + "text": "variability of conditions than the present", + "bbox_points": [ + 333.01, + 596.41, + 539.77, + 604.43 + ], + "words": [ + { + "text": "variability", + "bbox_points": [ + 333.01, + 596.41, + 368.96, + 604.43 + ] + }, + { + "text": "of", + "bbox_points": [ + 371.11, + 596.41, + 378.18, + 604.43 + ] + }, + { + "text": "conditions", + "bbox_points": [ + 441.3, + 596.41, + 479.07, + 604.43 + ] + }, + { + "text": "than", + "bbox_points": [ + 481.27, + 596.41, + 497.49, + 604.43 + ] + }, + { + "text": "the", + "bbox_points": [ + 499.86, + 596.41, + 511.18, + 604.43 + ] + }, + { + "text": "present", + "bbox_points": [ + 513.52, + 596.41, + 539.77, + 604.43 + ] + } + ] + }, + { + "text": "precipitation and • 3 stations (Urmia, Tabriz,", + "bbox_points": [ + 333.01, + 603.93, + 532.68, + 615.93 + ], + "words": [ + { + "text": "precipitation", + "bbox_points": [ + 333.01, + 606.9, + 378.53, + 614.92 + ] + }, + { + "text": "and", + "bbox_points": [ + 380.92, + 606.9, + 394.4, + 614.92 + ] + }, + { + "text": "•", + "bbox_points": [ + 433.53, + 603.93, + 437.27, + 615.93 + ] + }, + { + "text": "3", + "bbox_points": [ + 441.3, + 606.9, + 445.71, + 614.92 + ] + }, + { + "text": "stations", + "bbox_points": [ + 448.1, + 606.9, + 475.35, + 614.92 + ] + }, + { + "text": "(Urmia,", + "bbox_points": [ + 477.75, + 606.9, + 505.47, + 614.92 + ] + }, + { + "text": "Tabriz,", + "bbox_points": [ + 507.8, + 606.9, + 532.68, + 614.92 + ] + } + ] + }, + { + "text": "temperature by the and Maragheh) would have", + "bbox_points": [ + 333.01, + 617.39, + 540.2, + 625.4 + ], + "words": [ + { + "text": "temperature", + "bbox_points": [ + 333.01, + 617.39, + 376.25, + 625.4 + ] + }, + { + "text": "by", + "bbox_points": [ + 378.6, + 617.39, + 387.01, + 625.4 + ] + }, + { + "text": "the", + "bbox_points": [ + 389.42, + 617.39, + 400.74, + 625.4 + ] + }, + { + "text": "and", + "bbox_points": [ + 441.3, + 617.39, + 454.78, + 625.4 + ] + }, + { + "text": "Maragheh)", + "bbox_points": [ + 457.17, + 617.39, + 496.42, + 625.4 + ] + }, + { + "text": "would", + "bbox_points": [ + 498.78, + 617.39, + 521.17, + 625.4 + ] + }, + { + "text": "have", + "bbox_points": [ + 523.5, + 617.39, + 540.2, + 625.4 + ] + } + ] + }, + { + "text": "Mann–Kendall test more frequent quarterly", + "bbox_points": [ + 333.01, + 627.6, + 526.74, + 635.89 + ], + "words": [ + { + "text": "Mann–Kendall", + "bbox_points": [ + 333.01, + 627.6, + 386.49, + 635.89 + ] + }, + { + "text": "test", + "bbox_points": [ + 388.8, + 627.88, + 401.13, + 635.89 + ] + }, + { + "text": "more", + "bbox_points": [ + 441.3, + 627.88, + 459.81, + 635.89 + ] + }, + { + "text": "frequent", + "bbox_points": [ + 462.22, + 627.88, + 492.03, + 635.89 + ] + }, + { + "text": "quarterly", + "bbox_points": [ + 494.36, + 627.88, + 526.74, + 635.89 + ] + } + ] + }, + { + "text": "• Index: SPI and SPEI droughts in future", + "bbox_points": [ + 325.25, + 635.4, + 505.68, + 647.4 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 325.25, + 635.4, + 328.99, + 647.4 + ] + }, + { + "text": "Index:", + "bbox_points": [ + 333.01, + 638.34, + 356.38, + 646.38 + ] + }, + { + "text": "SPI", + "bbox_points": [ + 358.75, + 638.36, + 371.66, + 646.38 + ] + }, + { + "text": "and", + "bbox_points": [ + 374.0, + 638.36, + 387.48, + 646.38 + ] + }, + { + "text": "SPEI", + "bbox_points": [ + 389.88, + 638.36, + 408.28, + 646.38 + ] + }, + { + "text": "droughts", + "bbox_points": [ + 441.3, + 638.36, + 472.64, + 646.38 + ] + }, + { + "text": "in", + "bbox_points": [ + 475.03, + 638.36, + 482.1, + 646.38 + ] + }, + { + "text": "future", + "bbox_points": [ + 484.5, + 638.36, + 505.68, + 646.38 + ] + } + ] + }, + { + "text": "• Serious actions need to be", + "bbox_points": [ + 433.53, + 645.88, + 535.89, + 657.88 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 433.53, + 645.88, + 437.27, + 657.88 + ] + }, + { + "text": "Serious", + "bbox_points": [ + 441.3, + 648.91, + 468.01, + 656.93 + ] + }, + { + "text": "actions", + "bbox_points": [ + 470.38, + 648.91, + 495.9, + 656.93 + ] + }, + { + "text": "need", + "bbox_points": [ + 498.27, + 648.91, + 515.59, + 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}, + { + "text": "and", + "bbox_points": [ + 494.81, + 99.72, + 506.43, + 105.72 + ] + }, + { + "text": "scale", + "bbox_points": [ + 508.42, + 99.72, + 524.41, + 105.72 + ] + } + ] + }, + { + "text": "Historical (CP) þ SSP1-2.6", + "bbox_points": [ + 70.87, + 114.58, + 166.12, + 122.88 + ], + "words": [ + { + "text": "Historical", + "bbox_points": [ + 70.87, + 114.86, + 106.47, + 122.88 + ] + }, + { + "text": "(CP)", + "bbox_points": [ + 108.79, + 114.86, + 125.03, + 122.88 + ] + }, + { + "text": "þ", + "bbox_points": [ + 126.6, + 114.58, + 132.75, + 122.58 + ] + }, + { + "text": "SSP1-2.6", + "bbox_points": [ + 134.31, + 114.86, + 166.12, + 122.88 + ] + } + ] + }, + { + "text": "m 36.331701 m0 ¼ 35.513752 m0 ¼ 35.501088", + "bbox_points": [ + 78.86, + 128.59, + 512.5, + 138.24 + ], + "words": [ + { + "text": "m", + "bbox_points": [ + 78.86, + 128.81, + 85.36, + 136.81 + ] + }, + { + "text": "36.331701", + "bbox_points": [ + 199.73, + 128.87, + 237.06, + 136.88 + ] + }, + { + "text": "m0", + "bbox_points": [ + 327.46, + 128.81, + 335.88, + 138.24 + ] + }, + { + "text": "¼", + "bbox_points": [ + 337.95, + 128.59, + 344.11, + 136.59 + ] + }, + { + "text": "35.513752", + "bbox_points": [ + 345.66, + 128.87, + 382.98, + 136.88 + ] + }, + { + "text": "m0", + "bbox_points": [ + 457.11, + 128.81, + 465.48, + 138.24 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.55, + 128.59, + 473.71, + 136.59 + ] + }, + { + "text": "35.501088", + "bbox_points": [ + 475.31, + 128.87, + 512.5, + 136.88 + ] + } + ] + }, + { + "text": "m1 ¼ 0.015125 m1 ¼ 0.015339", + "bbox_points": [ + 327.46, + 139.07, + 508.23, + 148.73 + ], + "words": [ + { + "text": "m1", + "bbox_points": [ + 327.46, + 139.29, + 335.88, + 148.73 + ] + }, + { + "text": "¼", + "bbox_points": [ + 337.95, + 139.07, + 344.11, + 147.07 + ] + }, + { + "text": "0.015125", + "bbox_points": [ + 345.66, + 139.35, + 378.57, + 147.37 + ] + }, + { + "text": "m1", + "bbox_points": [ + 457.11, + 139.29, + 465.48, + 148.73 + ] + }, 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237.06, + 227.87 + ] + }, + { + "text": "m0", + "bbox_points": [ + 327.46, + 219.8, + 335.88, + 229.23 + ] + }, + { + "text": "¼", + "bbox_points": [ + 337.95, + 219.58, + 344.11, + 227.58 + ] + }, + { + "text": "35.685326", + "bbox_points": [ + 345.66, + 219.86, + 382.98, + 227.87 + ] + }, + { + "text": "m0", + "bbox_points": [ + 457.11, + 219.8, + 465.48, + 229.23 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.55, + 219.58, + 473.71, + 227.58 + ] + }, + { + "text": "35.685337", + "bbox_points": [ + 475.31, + 219.86, + 512.5, + 227.87 + ] + } + ] + }, + { + "text": "m1 ¼ 0.036422 m1 ¼ 0.037093", + "bbox_points": [ + 327.46, + 230.07, + 508.23, + 239.72 + ], + "words": [ + { + "text": "m1", + "bbox_points": [ + 327.46, + 230.29, + 335.88, + 239.72 + ] + }, + { + "text": "¼", + "bbox_points": [ + 337.95, + 230.07, + 344.11, + 238.07 + ] + }, + { + "text": "0.036422", + "bbox_points": [ + 345.66, + 230.35, + 378.57, + 238.36 + ] + }, + { + "text": "m1", + "bbox_points": [ + 457.11, + 230.29, + 465.48, + 239.72 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.55, + 230.07, + 473.71, + 238.07 + ] + }, + { + "text": "0.037093", + "bbox_points": [ + 475.31, + 230.35, + 508.23, + 238.36 + ] + } + ] + }, + { + "text": "s 1.616646 0.839234 s0 ¼ 0.86486", + "bbox_points": [ + 78.86, + 244.07, + 503.36, + 252.99 + ], + "words": [ + { + "text": "s", + "bbox_points": [ + 78.86, + 244.29, + 84.94, + 252.29 + ] + }, + { + "text": "1.616646", + "bbox_points": [ + 199.73, + 244.35, + 232.64, + 252.37 + ] + }, + { + "text": "0.839234", + "bbox_points": [ + 327.46, + 244.35, + 360.37, + 252.37 + ] + }, + { + "text": "s0", + "bbox_points": [ + 457.11, + 244.29, + 465.08, + 252.99 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.15, + 244.07, + 473.31, + 252.07 + ] + }, + { + "text": "0.86486", + "bbox_points": [ + 474.86, + 244.35, + 503.36, + 252.37 + ] + } + ] + }, + { + "text": "s1 ¼ 0.005281", + "bbox_points": [ + 457.11, + 254.56, + 513.95, + 263.48 + ], + "words": [ + { + "text": "s1", + "bbox_points": [ + 457.11, + 254.78, + 465.08, + 263.48 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.15, + 254.56, + 473.31, + 262.56 + ] + }, + { + "text": "0.005281", + "bbox_points": [ + 481.04, + 254.84, + 513.95, + 262.85 + ] + } + ] + }, + { + "text": "1 0.399637 0.161114 0.689847", + "bbox_points": [ + 78.86, + 268.78, + 496.15, + 276.86 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 78.86, + 268.78, + 82.86, + 276.78 + ] + }, + { + "text": "0.399637", + "bbox_points": [ + 205.91, + 268.84, + 238.82, + 276.86 + ] + }, + { + "text": "0.161114", + "bbox_points": [ + 333.64, + 268.84, + 366.55, + 276.86 + ] + }, + { + "text": "0.689847", + "bbox_points": [ + 463.24, + 268.84, + 496.15, + 276.86 + ] + } + ] + }, + { + "text": "Convergence 0.3069 0.4527 0.4097", + "bbox_points": [ + 78.86, + 282.84, + 481.2, + 290.86 + ], + "words": [ + { + "text": "Convergence", + "bbox_points": [ + 78.86, + 282.84, + 125.59, + 290.86 + ] + }, + { + "text": "0.3069", + "bbox_points": [ + 199.73, + 282.84, + 223.81, + 290.86 + ] + }, + { + "text": "0.4527", + "bbox_points": [ + 327.46, + 282.84, + 351.54, + 290.86 + ] + }, + { + "text": "0.4097", + "bbox_points": [ + 457.12, + 282.84, + 481.2, + 290.86 + ] + } + ] + }, + { + "text": "Historical (TP) þ SSP1-2.6", + "bbox_points": [ + 70.87, + 296.57, + 165.39, + 304.86 + ], + "words": [ + { + "text": "Historical", + "bbox_points": [ + 70.87, + 296.85, + 106.47, + 304.86 + ] + }, + { + "text": "(TP)", + "bbox_points": [ + 108.8, + 296.85, + 124.28, + 304.86 + ] + }, + { + "text": "þ", + "bbox_points": [ + 125.86, + 296.57, + 132.02, + 304.57 + ] + }, + { + "text": "SSP1-2.6", + "bbox_points": [ + 133.57, + 296.85, + 165.39, + 304.86 + ] + } + ] + }, + { + "text": "m 35.773997 m0 ¼ 34.652435 m0 ¼ 34.576173", + "bbox_points": [ + 78.86, + 310.57, + 512.5, + 320.23 + ], + "words": [ + { + "text": "m", + "bbox_points": [ + 78.86, + 310.79, + 85.36, + 318.79 + ] + }, + { + "text": "35.773997", + "bbox_points": [ + 199.73, + 310.85, + 237.06, + 318.87 + ] + }, + { + "text": "m0", + "bbox_points": [ + 327.46, + 310.79, + 335.88, + 320.23 + ] + }, + { + "text": "¼", + "bbox_points": [ + 337.95, + 310.57, + 344.11, + 318.57 + ] + }, + { + "text": "34.652435", + "bbox_points": [ + 345.66, + 310.85, + 382.98, + 318.87 + ] + }, + { + "text": "m0", + "bbox_points": [ + 457.11, + 310.79, + 465.48, + 320.23 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.55, + 310.57, + 473.71, + 318.57 + ] + }, + { + "text": "34.576173", + "bbox_points": [ + 475.31, + 310.85, + 512.5, + 318.87 + ] + } + ] + }, + { + "text": "m1 ¼ 0.01268 m1 ¼ 0.012822", + "bbox_points": [ + 327.46, + 321.06, + 508.23, + 330.71 + ], + "words": [ + { + "text": "m1", + "bbox_points": [ + 327.46, + 321.28, + 335.88, + 330.71 + ] + }, + { + "text": "¼", + "bbox_points": [ + 337.95, + 321.06, + 344.11, + 329.06 + ] + }, + { + "text": "0.01268", + "bbox_points": [ + 345.66, + 321.34, + 374.15, + 329.35 + ] + }, + { + "text": "m1", + "bbox_points": [ + 457.11, + 321.28, + 465.48, + 330.71 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.55, + 321.06, + 473.71, + 329.06 + ] + }, + { + "text": "0.012822", + "bbox_points": [ + 475.31, + 321.34, + 508.23, + 329.35 + ] + } + ] + }, + { + "text": "s 0.987107 0.739181 s0 ¼ 0.059578", + "bbox_points": [ + 78.86, + 335.06, + 513.95, + 343.98 + ], + "words": [ + { + "text": "s", + "bbox_points": [ + 78.86, + 335.28, + 84.94, + 343.28 + ] + }, + { + "text": "0.987107", + "bbox_points": [ + 199.73, + 335.34, + 232.64, + 343.36 + ] + }, + { + "text": "0.739181", + "bbox_points": [ + 327.46, + 335.34, + 360.37, + 343.36 + ] + }, + { + "text": "s0", + "bbox_points": [ + 457.11, + 335.28, + 465.08, + 343.98 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.15, + 335.06, + 473.31, + 343.06 + ] + }, + { + "text": "0.059578", + "bbox_points": [ + 481.04, + 335.34, + 513.95, + 343.36 + ] + } + ] + }, + { + "text": "s1 ¼ 0.002079", + "bbox_points": [ + 457.11, + 345.55, + 513.95, + 354.47 + ], + "words": [ + { + "text": "s1", + "bbox_points": [ + 457.11, + 345.77, + 465.08, + 354.47 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.15, + 345.55, + 473.31, + 353.55 + ] + }, + { + "text": "0.002079", + "bbox_points": [ + 481.04, + 345.83, + 513.95, + 353.85 + ] + } + ] + }, + { + "text": "1 0.185574 0.262188 0.149359", + "bbox_points": [ + 78.86, + 359.77, + 496.15, + 367.85 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 78.86, + 359.77, + 82.86, + 367.77 + ] + }, + { + "text": "0.185574", + "bbox_points": [ + 205.91, + 359.83, + 238.82, + 367.85 + ] + }, + { + "text": "0.262188", + "bbox_points": [ + 333.64, + 359.83, + 366.55, + 367.85 + ] + }, + { + "text": "0.149359", + "bbox_points": [ + 463.24, + 359.83, + 496.15, + 367.85 + ] + } + ] + }, + { + "text": "Convergence 0.3453 0.4912 0.4164", + "bbox_points": [ + 78.86, + 373.84, + 481.2, + 381.85 + ], + "words": [ + { + "text": "Convergence", + "bbox_points": [ + 78.86, + 373.84, + 125.59, + 381.85 + ] + }, + { + "text": "0.3453", + "bbox_points": [ + 199.73, + 373.84, + 223.81, + 381.85 + ] + }, + { + "text": "0.4912", + "bbox_points": [ + 327.46, + 373.84, + 351.54, + 381.85 + ] + }, + { + "text": "0.4164", + "bbox_points": [ + 457.12, + 373.84, + 481.2, + 381.85 + ] + } + ] + }, + { + "text": "Historical (TP) þ SSP5-8.5", + "bbox_points": [ + 70.87, + 387.56, + 165.39, + 395.86 + ], + "words": [ + { + "text": "Historical", + "bbox_points": [ + 70.87, + 387.84, + 106.47, + 395.86 + ] + }, + { + "text": "(TP)", + "bbox_points": [ + 108.8, + 387.84, + 124.28, + 395.86 + ] + }, + { + "text": "þ", + "bbox_points": [ + 125.86, + 387.56, + 132.02, + 395.56 + ] + }, + { + "text": "SSP5-8.5", + "bbox_points": [ + 133.57, + 387.84, + 165.39, + 395.86 + ] + } + ] + }, + { + "text": "m 36.300538 m0 ¼ 34.007539 m0 ¼ 33.640532", + "bbox_points": [ + 78.86, + 401.56, + 512.5, + 411.22 + ], + "words": [ + { + "text": "m", + "bbox_points": [ + 78.86, + 401.78, + 85.36, + 409.78 + ] + }, + { + "text": "36.300538", + "bbox_points": [ + 199.73, + 401.84, + 237.06, + 409.86 + ] + }, + { + "text": "m0", + "bbox_points": [ + 327.46, + 401.78, + 335.88, + 411.22 + ] + }, + { + "text": "¼", + "bbox_points": [ + 337.95, + 401.56, + 344.11, + 409.56 + ] + }, + { + "text": "34.007539", + "bbox_points": [ + 345.66, + 401.84, + 382.98, + 409.86 + ] + }, + { + "text": "m0", + "bbox_points": [ + 457.11, + 401.78, + 465.48, + 411.22 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.55, + 401.56, + 473.71, + 409.56 + ] + }, + { + "text": "33.640532", + "bbox_points": [ + 475.31, + 401.84, + 512.5, + 409.86 + ] + } + ] + }, + { + "text": "m1 ¼ 0.027368 m1 ¼ 0.029907", + "bbox_points": [ + 327.46, + 412.05, + 508.23, + 421.71 + ], + "words": [ + { + "text": "m1", + "bbox_points": [ + 327.46, + 412.27, + 335.88, + 421.71 + ] + }, + { + "text": "¼", + "bbox_points": [ + 337.95, + 412.05, + 344.11, + 420.05 + ] + }, + { + "text": "0.027368", + "bbox_points": [ + 345.66, + 412.33, + 378.57, + 420.35 + ] + }, + { + "text": "m1", + "bbox_points": [ + 457.11, + 412.27, + 465.48, + 421.71 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.55, + 412.05, + 473.71, + 420.05 + ] + }, + { + "text": "0.029907", + "bbox_points": [ + 475.31, + 412.33, + 508.23, + 420.35 + ] + } + ] + }, + { + "text": "s 1.587129 0.829632 s0 ¼ 0.531165", + "bbox_points": [ + 78.86, + 426.05, + 513.95, + 434.97 + ], + "words": [ + { + "text": "s", + "bbox_points": [ + 78.86, + 426.27, + 84.94, + 434.27 + ] + }, + { + "text": "1.587129", + "bbox_points": [ + 199.73, + 426.33, + 232.64, + 434.35 + ] + }, + { + "text": "0.829632", + "bbox_points": [ + 327.46, + 426.33, + 360.37, + 434.35 + ] + }, + { + "text": "s0", + "bbox_points": [ + 457.11, + 426.27, + 465.08, + 434.97 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.15, + 426.05, + 473.31, + 434.05 + ] + }, + { + "text": "0.531165", + "bbox_points": [ + 481.04, + 426.33, + 513.95, + 434.35 + ] + } + ] + }, + { + "text": "s1 ¼ 0.005246", + "bbox_points": [ + 457.11, + 436.54, + 513.95, + 445.52 + ], + "words": [ + { + "text": "s1", + "bbox_points": [ + 457.11, + 436.76, + 465.08, + 445.52 + ] + }, + { + "text": "¼", + "bbox_points": [ + 467.15, + 436.54, + 473.31, + 444.54 + ] + }, + { + "text": "0.005246", + "bbox_points": [ + 481.04, + 436.82, + 513.95, + 444.84 + ] + } + ] + }, + { + "text": "1 0.095204 0.258044 0.1598622", + "bbox_points": [ + 78.86, + 450.77, + 500.57, + 458.84 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 78.86, + 450.77, + 82.86, + 458.77 + ] + }, + { + "text": "0.095204", + "bbox_points": [ + 205.91, + 450.83, + 238.82, + 458.84 + ] + }, + { + "text": "0.258044", + "bbox_points": [ + 333.64, + 450.83, + 366.55, + 458.84 + ] + }, + { + "text": "0.1598622", + "bbox_points": [ + 463.24, + 450.83, + 500.57, + 458.84 + ] + } + ] + }, + { + "text": "Convergence 0.3885 0.4562 0.4319", + "bbox_points": [ + 78.86, + 464.83, + 481.2, + 472.84 + ], + "words": [ + { + "text": "Convergence", + "bbox_points": [ + 78.86, + 464.83, + 125.59, + 472.84 + ] + }, + { + "text": "0.3885", + "bbox_points": [ + 199.73, + 464.83, + 223.81, + 472.84 + ] + }, + { + "text": "0.4562", + "bbox_points": [ + 327.46, + 464.83, + 351.54, + 472.84 + ] + }, + { + "text": "0.4319", + "bbox_points": [ + 457.12, + 464.83, + 481.2, + 472.84 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Mohammadi et al. - 2024 - Estimation of non-stationary return levels of extreme temperature by CMIP6 models/table_09.txt b/Figures/Mohammadi et al. - 2024 - Estimation of non-stationary return levels of extreme temperature by CMIP6 models/table_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4c74fd0699bbe75d16316700219d0bbb7e27c73 --- /dev/null +++ b/Figures/Mohammadi et al. - 2024 - Estimation of non-stationary return levels of extreme temperature by CMIP6 models/table_09.txt @@ -0,0 +1 @@ +Estimated three GEV models using combined annual maxima from the historical and future data in Arak station diff --git a/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_01.jpg b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b341ec198ff3f34b52bb9b19eb4ad82b185ea6c0 --- /dev/null +++ b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0dbae59c50a5db0959d20efd9595f9716888e4ba06e57aae41be4e0e4946f33a +size 129860 diff --git a/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_01.txt b/Figures/Mohammadi et al. - 2024 - 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arid and semi-arid regions by limited climatic d/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5cdfedbaa441d2de0f1631df5720ae6b303a1e3f0679d7b03a108e5583d7327d +size 122678 diff --git a/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_02.txt b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1839b25320fc04235ceb66bb26b38958f6ee9bc --- /dev/null +++ b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_02.txt @@ -0,0 +1 @@ +Data preprocessing flowchart for studied arid and semi-arid regions. diff --git a/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_03.jpg b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9549f952453a2e7a064a140c4b1550d33f56be5b --- /dev/null +++ b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c1222f4247898dc378c5e990a9bfef46b1af2f724d5355a59c3c5208df7324f9 +size 182059 diff --git a/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_03.txt b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f85d0613223d8a24982b2d219ce54bf3bb56206 --- /dev/null +++ b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_03.txt @@ -0,0 +1 @@ +Scattergrams of climatic components in arid and semi-arid regions. diff --git a/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_04.jpg b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..76053dec0a55d604d6824ca8e864eefdf50ed6a0 --- /dev/null +++ b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d04a94a622ff9b4d64d2709eea35c02cfa3c07b2b8ab79593b0efeeb932dd72b +size 113062 diff --git a/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_04.txt b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..91ec673de11cc3a9d7d1c83daf2cb3b416cf05d0 --- /dev/null +++ b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_04.txt @@ -0,0 +1 @@ +The flowchart of the N–M algorithm (Kshirsagar et al. 2020). diff --git a/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_05.jpg b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c9ec4d1a3d7158f7a3416b3667809a50b40f4e57 --- /dev/null +++ b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6baa5c63a7e60e7774a8287cc658ff941889369c7efe53a007f36a7c6f11de84 +size 140883 diff --git a/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_05.txt b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..f0568764d236edbb5860ee63b42fc37fd7d1f212 --- /dev/null +++ b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_05.txt @@ -0,0 +1 @@ +Changes in the objective function in the improvement process for the pan-evaporative empirical mathematical equations. diff --git a/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_06.jpg b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c804c12fb2c41ff05caba57051f7d04804cfaaca --- /dev/null +++ b/Figures/Mohammadi et al. - 2024 - Improvement of daily pan-evaporation calculation in arid and semi-arid regions by limited climatic d/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0d091d4e184311644ab8df004786be80df6cb2a810f9049c4dce085b8ebfd0c9 +size 182630 diff --git a/Figures/Mohammadi 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"text": "879.1", + "bbox_points": [ + 450.37, + 268.9, + 470.03, + 276.91 + ] + }, + { + "text": "C6", + "bbox_points": [ + 526.51, + 268.9, + 536.67, + 276.91 + ] + } + ] + }, + { + "text": "Tehran 35° 410 35″ 51° 180 33″ 8.4 1,191 C7", + "bbox_points": [ + 64.01, + 281.59, + 536.67, + 290.92 + ], + "words": [ + { + "text": "Tehran", + "bbox_points": [ + 64.01, + 282.9, + 89.35, + 290.92 + ] + }, + { + "text": "35°", + "bbox_points": [ + 186.41, + 282.9, + 197.98, + 290.92 + ] + }, + { + "text": "410", + "bbox_points": [ + 200.35, + 281.59, + 210.65, + 290.92 + ] + }, + { + "text": "35″", + "bbox_points": [ + 213.56, + 282.62, + 227.18, + 290.92 + ] + }, + { + "text": "51°", + "bbox_points": [ + 274.56, + 282.9, + 286.14, + 290.92 + ] + }, + { + "text": "180", + "bbox_points": [ + 288.51, + 281.59, + 298.81, + 290.92 + ] + }, + { + "text": "33″", + "bbox_points": [ + 301.72, + 282.62, + 315.34, + 290.92 + ] + }, + { + "text": "8.4", + "bbox_points": [ + 362.72, + 282.9, + 373.55, + 290.92 + ] + }, + { + "text": "1,191", + "bbox_points": [ + 450.37, + 282.9, + 470.03, + 290.92 + ] + }, + { + "text": "C7", + "bbox_points": [ + 526.51, + 282.9, + 536.67, + 290.92 + ] + } + ] + }, + { + "text": "Semnan 35° 350 17″ 53° 250 16″ 4.8 1,127 C8", + "bbox_points": [ + 64.01, + 295.6, + 536.67, + 304.92 + ], + "words": [ + { + "text": "Semnan", + "bbox_points": [ + 64.01, + 296.9, + 93.4, + 304.92 + ] + }, + { + "text": "35°", + "bbox_points": [ + 186.41, + 296.9, + 197.98, + 304.92 + ] + }, + { + "text": "350", + "bbox_points": [ + 200.35, + 295.6, + 210.65, + 304.92 + ] + }, + { + "text": "17″", + "bbox_points": [ + 213.56, + 296.62, + 227.18, + 304.92 + ] + }, + { + "text": "53°", + "bbox_points": [ + 274.56, + 296.9, + 286.14, + 304.92 + ] + }, + { + "text": "250", + "bbox_points": [ + 288.51, + 295.6, + 298.81, + 304.92 + ] + }, + { + "text": "16″", + "bbox_points": [ + 301.72, + 296.62, + 315.34, + 304.92 + ] + }, + { + "text": "4.8", + "bbox_points": [ + 362.72, + 296.9, + 373.55, + 304.92 + ] + }, + { + "text": "1,127", + "bbox_points": [ + 450.37, + 296.9, + 470.03, + 304.92 + ] + }, + { + "text": "C8", + "bbox_points": [ + 526.51, + 296.9, + 536.67, + 304.92 + ] + } + ] + }, + { + "text": "Kashan 33° 580 1″ 51° 280 50″ 4.4 955 C9", + "bbox_points": [ + 64.01, + 309.6, + 536.67, + 318.92 + ], + "words": [ + { + "text": "Kashan", + "bbox_points": [ + 64.01, + 310.91, + 91.14, + 318.92 + ] + }, + { + "text": "33°", + "bbox_points": [ + 186.41, + 310.91, + 197.98, + 318.92 + ] + }, + { + "text": "580", + "bbox_points": [ + 200.35, + 309.6, + 210.65, + 318.92 + ] + }, + { + "text": "1″", + "bbox_points": [ + 213.56, + 310.63, + 222.76, + 318.92 + ] + }, + { + "text": "51°", + "bbox_points": [ + 274.56, + 310.91, + 286.14, + 318.92 + ] + }, + { + "text": "280", + "bbox_points": [ + 288.51, + 309.6, + 298.81, + 318.92 + ] + }, + { + "text": "50″", + "bbox_points": [ + 301.72, + 310.63, + 315.34, + 318.92 + ] + }, + { + "text": "4.4", + "bbox_points": [ + 362.72, + 310.91, + 373.55, + 318.92 + ] + }, + { + "text": "955", + "bbox_points": [ + 450.37, + 310.91, + 463.62, + 318.92 + ] + }, + { + "text": "C9", + "bbox_points": [ + 526.51, + 310.91, + 536.67, + 318.92 + ] + } + ] + }, + { + "text": "Esfahan 32° 440 39″ 51° 510 47″ 4.1 1,551.9 C10", + "bbox_points": [ + 64.01, + 323.6, + 541.08, + 332.87 + ], + "words": [ + { + "text": "Esfahan", + "bbox_points": [ + 64.01, + 324.85, + 93.13, + 332.87 + ] + }, + { + "text": "32°", + "bbox_points": [ + 186.41, + 324.85, + 197.98, + 332.87 + ] + }, + { + "text": "440", + "bbox_points": [ + 200.35, + 323.6, + 210.65, + 332.87 + ] + }, + { + "text": "39″", + "bbox_points": [ + 213.56, + 324.57, + 227.18, + 332.87 + ] + }, + { + "text": "51°", + "bbox_points": [ + 274.56, + 324.85, + 286.14, + 332.87 + ] + }, + { + "text": "510", + "bbox_points": [ + 288.51, + 323.6, + 298.81, + 332.87 + ] + }, + { + "text": "47″", + "bbox_points": [ + 301.72, + 324.57, + 315.34, + 332.87 + ] + }, + { + "text": "4.1", + "bbox_points": [ + 362.72, + 324.85, + 373.55, + 332.87 + ] + }, + { + "text": "1,551.9", + "bbox_points": [ + 450.37, + 324.85, + 476.45, + 332.87 + ] + }, + { + "text": "C10", + "bbox_points": [ + 526.51, + 324.85, + 541.08, + 332.87 + ] + } + ] + }, + { + "text": "Shahrekord 32° 140 39″ 50° 500 21″ 14 2,048.9 C11", + "bbox_points": [ + 64.01, + 337.61, + 541.08, + 346.87 + ], + "words": [ + { + "text": "Shahrekord", + "bbox_points": [ + 64.01, + 338.86, + 106.03, + 346.87 + ] + }, + { + "text": "32°", + "bbox_points": [ + 186.41, + 338.86, + 197.98, + 346.87 + ] + }, + { + "text": "140", + "bbox_points": [ + 200.35, + 337.61, + 210.65, + 346.87 + ] + }, + { + "text": "39″", + "bbox_points": [ + 213.56, + 338.58, + 227.18, + 346.87 + ] + }, + { + "text": "50°", + "bbox_points": [ + 274.56, + 338.86, + 286.14, + 346.87 + ] + }, + { + "text": "500", + "bbox_points": [ + 288.51, + 337.61, + 298.81, + 346.87 + ] + }, + { + "text": "21″", + "bbox_points": [ + 301.72, + 338.58, + 315.34, + 346.87 + ] + }, + { + "text": "14", + "bbox_points": [ + 362.72, + 338.86, + 371.55, + 346.87 + ] + }, + { + "text": "2,048.9", + "bbox_points": [ + 450.37, + 338.86, + 476.45, + 346.87 + ] + }, + { + "text": "C11", + "bbox_points": [ + 526.51, + 338.86, + 541.08, + 346.87 + ] + } + ] + }, + { + "text": "Yazd 31° 540 14″ 54° 170 21″ 1.9 1,230.2 C12", + "bbox_points": [ + 64.01, + 351.61, + 541.08, + 360.88 + ], + "words": [ + { + "text": "Yazd", + "bbox_points": [ + 64.01, + 352.86, + 82.3, + 360.88 + ] + }, + { + "text": "31°", + "bbox_points": [ + 186.41, + 352.86, + 197.98, + 360.88 + ] + }, + { + "text": "540", + "bbox_points": [ + 200.35, + 351.61, + 210.65, + 360.88 + ] + }, + { + "text": "14″", + "bbox_points": [ + 213.56, + 352.58, + 227.18, + 360.88 + ] + }, + { + "text": "54°", + "bbox_points": [ + 274.56, + 352.86, + 286.14, + 360.88 + ] + }, + { + "text": "170", + "bbox_points": [ + 288.51, + 351.61, + 298.81, + 360.88 + ] + }, + { + "text": "21″", + "bbox_points": [ + 301.72, + 352.58, + 315.34, + 360.88 + ] + }, + { + "text": "1.9", + "bbox_points": [ + 362.72, + 352.86, + 373.55, + 360.88 + ] + }, + { + "text": "1,230.2", + "bbox_points": [ + 450.37, + 352.86, + 476.45, + 360.88 + ] + }, + { + "text": "C12", + "bbox_points": [ + 526.51, + 352.86, + 541.08, + 360.88 + ] + } + ] + }, + { + "text": "Shiraz 29° 330 40″ 52° 360 18″ 12 1,488 C13", + "bbox_points": [ + 64.01, + 365.61, + 541.08, + 374.88 + ], + "words": [ + { + "text": "Shiraz", + "bbox_points": [ + 64.01, + 366.86, + 86.96, + 374.88 + ] + }, + { + "text": "29°", + "bbox_points": [ + 186.41, + 366.86, + 197.98, + 374.88 + ] + }, + { + "text": "330", + "bbox_points": [ + 200.35, + 365.61, + 210.65, + 374.88 + ] + }, + { + "text": "40″", + "bbox_points": [ + 213.56, + 366.58, + 227.18, + 374.88 + ] + }, + { + "text": "52°", + "bbox_points": [ + 274.56, + 366.86, + 286.14, + 374.88 + ] + }, + { + "text": "360", + "bbox_points": [ + 288.51, + 365.61, + 298.81, + 374.88 + ] + }, + { + "text": "18″", + "bbox_points": [ + 301.72, + 366.58, + 315.34, + 374.88 + ] + }, + { + "text": "12", + "bbox_points": [ + 362.72, + 366.86, + 371.55, + 374.88 + ] + }, + { + "text": "1,488", + "bbox_points": [ + 450.37, + 366.86, + 470.03, + 374.88 + ] + }, + { + "text": "C13", + "bbox_points": [ + 526.51, + 366.86, + 541.08, + 374.88 + ] + } + ] + }, + { + "text": "Fasa 28° 530 57″ 53° 430 10″ 9.3 1,268 C14", + "bbox_points": [ + 64.01, + 379.61, + 541.08, + 388.88 + ], + "words": [ + { + "text": "Fasa", + "bbox_points": [ + 64.01, + 380.87, + 80.19, + 388.88 + ] + }, + { + "text": "28°", + "bbox_points": [ + 186.41, + 380.87, + 197.98, + 388.88 + ] + }, + { + "text": "530", + "bbox_points": [ + 200.35, + 379.61, + 210.65, + 388.88 + ] + }, + { + "text": "57″", + "bbox_points": [ + 213.56, + 380.59, + 227.18, + 388.88 + ] + }, + { + "text": "53°", + "bbox_points": [ + 274.56, + 380.87, + 286.14, + 388.88 + ] + }, + { + "text": "430", + "bbox_points": [ + 288.51, + 379.61, + 298.81, + 388.88 + ] + }, + { + "text": "10″", + "bbox_points": [ + 301.72, + 380.59, + 315.34, + 388.88 + ] + }, + { + "text": "9.3", + "bbox_points": [ + 362.72, + 380.87, + 373.55, + 388.88 + ] + }, + { + "text": "1,268", + "bbox_points": [ + 450.37, + 380.87, + 470.03, + 388.88 + ] + }, + { + "text": "C14", + "bbox_points": [ + 526.51, + 380.87, + 541.08, + 388.88 + ] + } + ] + }, + { + "text": "Kerman 30° 150 20″ 56° 470 42″ 5.2 1,754 C15", + "bbox_points": [ + 64.01, + 393.62, + 541.08, + 402.88 + ], + "words": [ + { + "text": "Kerman", + "bbox_points": [ + 64.01, + 394.87, + 93.07, + 402.88 + ] + }, + { + "text": "30°", + "bbox_points": [ + 186.41, + 394.87, + 197.98, + 402.88 + ] + }, + { + "text": "150", + "bbox_points": [ + 200.35, + 393.62, + 210.65, + 402.88 + ] + }, + { + "text": "20″", + "bbox_points": [ + 213.56, + 394.59, + 227.18, + 402.88 + ] + }, + { + "text": "56°", + "bbox_points": [ + 274.56, + 394.87, + 286.14, + 402.88 + ] + }, + { + "text": "470", + "bbox_points": [ + 288.51, + 393.62, + 298.81, + 402.88 + ] + }, + { + "text": "42″", + "bbox_points": [ + 301.72, + 394.59, + 315.34, + 402.88 + ] + }, + { + "text": "5.2", + "bbox_points": [ + 362.72, + 394.87, + 373.55, + 402.88 + ] + }, + { + "text": "1,754", + "bbox_points": [ + 450.37, + 394.87, + 470.03, + 402.88 + ] + }, + { + "text": "C15", + "bbox_points": [ + 526.51, + 394.87, + 541.08, + 402.88 + ] + } + ] + }, + { + "text": "Tabas 33° 360 11″ 56° 570 2″ 2.4 711 C16", + "bbox_points": [ + 64.01, + 407.62, + 541.08, + 416.89 + ], + "words": [ + { + "text": "Tabas", + "bbox_points": [ + 64.01, + 408.87, + 84.89, + 416.89 + ] + }, + { + "text": "33°", + "bbox_points": [ + 186.41, + 408.87, + 197.98, + 416.89 + ] + }, + { + "text": "360", + "bbox_points": [ + 200.35, + 407.62, + 210.65, + 416.89 + ] + }, + { + "text": "11″", + "bbox_points": [ + 213.56, + 408.59, + 227.18, + 416.89 + ] + }, + { + "text": "56°", + "bbox_points": [ + 274.56, + 408.87, + 286.14, + 416.89 + ] + }, + { + "text": "570", + "bbox_points": [ + 288.51, + 407.62, + 298.81, + 416.89 + ] + }, + { + "text": "2″", + "bbox_points": [ + 301.72, + 408.59, + 310.92, + 416.89 + ] + }, + { + "text": "2.4", + "bbox_points": [ + 362.72, + 408.87, + 373.55, + 416.89 + ] + }, + { + "text": "711", + "bbox_points": [ + 450.37, + 408.87, + 463.62, + 416.89 + ] + }, + { + "text": "C16", + "bbox_points": [ + 526.51, + 408.87, + 541.08, + 416.89 + ] + } + ] + }, + { + "text": "Bushehr 28° 580 26″ 51° 00 28″ 7.3 9 S1", + "bbox_points": [ + 64.01, + 421.62, + 535.67, + 430.89 + ], + "words": [ + { + "text": "Bushehr", + "bbox_points": [ + 64.01, + 422.88, + 94.14, + 430.89 + ] + }, + { + "text": "28°", + "bbox_points": [ + 186.41, + 422.88, + 197.98, + 430.89 + ] + }, + { + "text": "580", + "bbox_points": [ + 200.35, + 421.62, + 210.65, + 430.89 + ] + }, + { + "text": "26″", + "bbox_points": [ + 213.56, + 422.6, + 227.18, + 430.89 + ] + }, + { + "text": "51°", + "bbox_points": [ + 274.56, + 422.88, + 286.14, + 430.89 + ] + }, + { + "text": "00", + "bbox_points": [ + 288.51, + 421.62, + 294.39, + 430.89 + ] + }, + { + "text": "28″", + "bbox_points": [ + 297.3, + 422.6, + 310.92, + 430.89 + ] + }, + { + "text": "7.3", + "bbox_points": [ + 362.72, + 422.88, + 373.55, + 430.89 + ] + }, + { + "text": "9", + "bbox_points": [ + 450.37, + 422.88, + 454.78, + 430.89 + ] + }, + { + "text": "S1", + "bbox_points": [ + 526.51, + 422.88, + 535.67, + 430.89 + ] + } + ] + }, + { + "text": "Bandar-E-Lengeh 26° 460 58″ 54° 460 26″ 3.5 22.7 S2", + "bbox_points": [ + 64.01, + 435.63, + 535.67, + 444.89 + ], + "words": [ + { + "text": "Bandar-E-Lengeh", + "bbox_points": [ + 64.01, + 436.88, + 126.77, + 444.89 + ] + }, + { + "text": "26°", + "bbox_points": [ + 186.41, + 436.88, + 197.98, + 444.89 + ] + }, + { + "text": "460", + "bbox_points": [ + 200.35, + 435.63, + 210.65, + 444.89 + ] + }, + { + "text": "58″", + "bbox_points": [ + 213.56, + 436.6, + 227.18, + 444.89 + ] + }, + { + "text": "54°", + "bbox_points": [ + 274.56, + 436.88, + 286.14, + 444.89 + ] + }, + { + "text": "460", + "bbox_points": [ + 288.51, + 435.63, + 298.81, + 444.89 + ] + }, + { + "text": "26″", + "bbox_points": [ + 301.72, + 436.6, + 315.34, + 444.89 + ] + }, + { + "text": "3.5", + "bbox_points": [ + 362.72, + 436.88, + 373.55, + 444.89 + ] + }, + { + "text": "22.7", + "bbox_points": [ + 450.37, + 436.88, + 465.62, + 444.89 + ] + }, + { + "text": "S2", + "bbox_points": [ + 526.51, + 436.88, + 535.67, + 444.89 + ] + } + ] + }, + { + "text": "Bandarabbas 27° 330 25″ 56° 130 51″ 4.6 9.8 S3", + "bbox_points": [ + 64.01, + 449.63, + 535.67, + 458.9 + ], + "words": [ + { + "text": "Bandarabbas", + "bbox_points": [ + 64.01, + 450.88, + 110.62, + 458.9 + ] + }, + { + "text": "27°", + "bbox_points": [ + 186.41, + 450.88, + 197.98, + 458.9 + ] + }, + { + "text": "330", + "bbox_points": [ + 200.35, + 449.63, + 210.65, + 458.9 + ] + }, + { + "text": "25″", + "bbox_points": [ + 213.56, + 450.6, + 227.18, + 458.9 + ] + }, + { + "text": "56°", + "bbox_points": [ + 274.56, + 450.88, + 286.14, + 458.9 + ] + }, + { + "text": "130", + "bbox_points": [ + 288.51, + 449.63, + 298.81, + 458.9 + ] + }, + { + "text": "51″", + "bbox_points": [ + 301.72, + 450.6, + 315.34, + 458.9 + ] + }, + { + "text": "4.6", + "bbox_points": [ + 362.72, + 450.88, + 373.55, + 458.9 + ] + }, + { + "text": "9.8", + "bbox_points": [ + 450.37, + 450.88, + 461.2, + 458.9 + ] + }, + { + "text": "S3", + "bbox_points": [ + 526.51, + 450.88, + 535.67, + 458.9 + ] + } + ] + }, + { + "text": "Jask 26° 20 23″ 57° 480 27″ 3.4 5.2 S4", + "bbox_points": [ + 64.01, + 463.63, + 535.67, + 472.9 + ], + "words": [ + { + "text": "Jask", + "bbox_points": [ + 64.01, + 464.88, + 78.81, + 472.9 + ] + }, + { + "text": "26°", + "bbox_points": [ + 186.41, + 464.88, + 197.98, + 472.9 + ] + }, + { + "text": "20", + "bbox_points": [ + 200.35, + 463.63, + 206.23, + 472.9 + ] + }, + { + "text": "23″", + "bbox_points": [ + 209.14, + 464.6, + 222.76, + 472.9 + ] 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227.18, + 486.9 + ] + }, + { + "text": "60°", + "bbox_points": [ + 274.56, + 478.89, + 286.14, + 486.9 + ] + }, + { + "text": "410", + "bbox_points": [ + 288.51, + 477.64, + 298.81, + 486.9 + ] + }, + { + "text": "13″", + "bbox_points": [ + 301.72, + 478.61, + 315.34, + 486.9 + ] + }, + { + "text": "3.1", + "bbox_points": [ + 362.72, + 478.89, + 373.55, + 486.9 + ] + }, + { + "text": "8", + "bbox_points": [ + 450.37, + 478.89, + 454.78, + 486.9 + ] + }, + { + "text": "SE1", + "bbox_points": [ + 526.51, + 478.89, + 541.16, + 486.9 + ] + } + ] + }, + { + "text": "Iranshahr 27° 130 45″ 60° 430 5″ 2.8 591.1 SE2", + "bbox_points": [ + 64.01, + 491.64, + 541.16, + 500.91 + ], + "words": [ + { + "text": "Iranshahr", + "bbox_points": [ + 64.01, + 492.89, + 99.17, + 500.91 + ] + }, + { + "text": "27°", + "bbox_points": [ + 186.41, + 492.89, + 197.98, + 500.91 + ] + }, + { + "text": "130", + "bbox_points": [ + 200.35, + 491.64, + 210.65, + 500.91 + ] + }, + { + "text": "45″", + "bbox_points": [ 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Secchidisc depth values exhibited large variations, varying from a low value of 2.35 m at the GOR site to high values", + "bbox_points": [ + 43.43, + 309.63, + 545.43, + 318.65 + ], + "words": [ + { + "text": "the", + "bbox_points": [ + 43.43, + 309.63, + 56.16, + 318.65 + ] + }, + { + "text": "OP.", + "bbox_points": [ + 58.62, + 309.63, + 73.91, + 318.65 + ] + }, + { + "text": "Secchidisc", + "bbox_points": [ + 76.37, + 309.63, + 119.17, + 318.65 + ] + }, + { + "text": "depth", + "bbox_points": [ + 121.61, + 309.63, + 144.64, + 318.65 + ] + }, + { + "text": "values", + "bbox_points": [ + 147.06, + 309.63, + 172.43, + 318.65 + ] + }, + { + "text": "exhibited", + "bbox_points": [ + 174.9, + 309.63, + 212.08, + 318.65 + ] + }, + { + "text": "large", + "bbox_points": [ + 214.53, + 309.63, + 234.38, + 318.65 + ] + }, + { + "text": "variations,", + "bbox_points": [ + 236.87, + 309.63, + 278.99, + 318.65 + ] + }, + { + "text": "varying", + "bbox_points": [ + 281.43, + 309.63, + 311.3, + 318.65 + ] + }, + { + "text": "from", + "bbox_points": [ + 313.75, + 309.63, + 333.13, + 318.65 + ] + }, + { + "text": "a", + "bbox_points": [ + 335.52, + 309.63, + 340.2, + 318.65 + ] + }, + { + "text": "low", + "bbox_points": [ + 342.66, + 309.63, + 357.43, + 318.65 + ] + }, + { + "text": "value", + "bbox_points": [ + 359.89, + 309.63, + 381.52, + 318.65 + ] + }, + { + "text": "of", + "bbox_points": [ + 383.99, + 309.63, + 391.95, + 318.65 + ] + }, + { + "text": "2.35", + "bbox_points": [ + 394.36, + 309.63, + 411.52, + 318.65 + ] + }, + { + "text": "m", + "bbox_points": [ + 413.75, + 309.63, + 421.63, + 318.65 + ] + }, + { + "text": "at", + "bbox_points": [ + 424.07, + 309.63, + 431.65, + 318.65 + ] + }, + { + "text": "the", + "bbox_points": [ + 433.99, + 309.63, + 446.73, + 318.65 + ] + }, + { + "text": "GOR", + "bbox_points": [ + 449.19, + 309.63, + 470.64, + 318.65 + ] + }, + { + "text": "site", + "bbox_points": [ + 473.11, + 309.63, + 486.87, + 318.65 + ] + }, + { + "text": "to", + "bbox_points": [ + 489.33, + 309.63, + 497.37, + 318.65 + ] + }, + { + "text": "high", + "bbox_points": [ + 499.82, + 309.63, + 517.61, + 318.65 + ] + }, + { + "text": "values", + "bbox_points": [ + 520.06, + 309.63, + 545.43, + 318.65 + ] + } + ] + }, + { + "text": "of 4.06 m at the OP site.", + "bbox_points": [ + 43.43, + 322.61, + 140.28, + 331.63 + ], + "words": [ + { + "text": "of", + "bbox_points": [ + 43.43, + 322.61, + 51.38, + 331.63 + ] + }, + { + "text": "4.06", + "bbox_points": [ + 53.86, + 322.61, + 71.01, + 331.63 + ] + }, + { + "text": "m", + "bbox_points": [ + 73.25, + 322.61, + 81.12, + 331.63 + ] + }, + { + "text": "at", + "bbox_points": [ + 83.51, + 322.61, + 91.09, + 331.63 + ] + }, + { + "text": "the", + "bbox_points": [ + 93.43, + 322.61, + 106.17, + 331.63 + ] + }, + { + "text": "OP", + "bbox_points": [ + 108.62, + 322.61, + 121.84, + 331.63 + ] + }, + { + "text": "site.", + "bbox_points": [ + 124.27, + 322.61, + 140.28, + 331.63 + ] + } + ] + }, + { + "text": "As indicated in Table 1, the nutrient content showed slight variations among the studied sites. 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Ammonia concentrations, however,", + "bbox_points": [ + 43.43, + 348.58, + 545.53, + 357.6 + ], + "words": [ + { + "text": "nitrate", + "bbox_points": [ + 43.43, + 348.58, + 69.76, + 357.6 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 72.45, + 348.58, + 128.77, + 357.6 + ] + }, + { + "text": "occurred", + "bbox_points": [ + 131.47, + 348.58, + 167.43, + 357.6 + ] + }, + { + "text": "at", + "bbox_points": [ + 170.14, + 348.58, + 177.72, + 357.6 + ] + }, + { + "text": "MEN", + "bbox_points": [ + 180.34, + 348.58, + 202.83, + 357.6 + ] + }, + { + "text": "while", + "bbox_points": [ + 205.52, + 348.58, + 227.71, + 357.6 + ] + }, + { + "text": "recording", + "bbox_points": [ + 230.4, + 348.58, + 269.17, + 357.6 + ] + }, + { + "text": "high", + "bbox_points": [ + 271.9, + 348.58, + 289.7, + 357.6 + ] + }, + { + "text": "values", + "bbox_points": [ + 292.37, + 348.58, + 317.74, + 357.6 + ] + }, + { + "text": "from", + "bbox_points": [ + 320.49, + 348.58, + 339.75, + 357.6 + ] + }, + { + "text": "the", + "bbox_points": [ + 342.49, + 348.58, + 355.22, + 357.6 + ] + }, + { + "text": "GOR", + "bbox_points": [ + 357.91, + 348.58, + 379.36, + 357.6 + ] + }, + { + "text": "site.", + "bbox_points": [ + 382.06, + 348.58, + 398.07, + 357.6 + ] + }, + { + "text": "Ammonia", + "bbox_points": [ + 400.77, + 348.58, + 441.05, + 357.6 + ] + }, + { + "text": "concentrations,", + "bbox_points": [ + 443.69, + 348.58, + 505.92, + 357.6 + ] + }, + { + "text": "however,", + "bbox_points": [ + 508.66, + 348.58, + 545.53, + 357.6 + ] + } + ] + }, + { + "text": "increased at MEN sampling sites. Minimum values for SRP in the lake water samples are observed at GOR. However, its level", + "bbox_points": [ + 43.43, + 361.62, + 545.55, + 370.64 + ], + "words": [ + { + "text": "increased", + "bbox_points": [ + 43.43, + 361.62, + 82.01, + 370.64 + ] + }, + { + "text": "at", + "bbox_points": [ + 84.08, + 361.62, + 91.66, + 370.64 + ] + }, + { + "text": "MEN", + "bbox_points": [ + 93.77, + 361.62, + 116.25, + 370.64 + ] + }, + { + "text": "sampling", + "bbox_points": [ + 118.38, + 361.62, + 154.9, + 370.64 + ] + }, + { + "text": "sites.", + "bbox_points": [ + 157.1, + 361.62, + 176.85, + 370.64 + ] + }, + { + "text": "Minimum", + "bbox_points": [ + 178.98, + 361.62, + 219.17, + 370.64 + ] + }, + { + "text": "values", + "bbox_points": [ + 221.34, + 361.62, + 246.71, + 370.64 + ] + }, + { + "text": "for", + "bbox_points": [ + 248.89, + 361.62, + 260.4, + 370.64 + ] + }, + { + "text": "SRP", + "bbox_points": [ + 262.55, + 361.62, + 279.79, + 370.64 + ] + }, + { + "text": "in", + "bbox_points": [ + 281.94, + 361.62, + 289.9, + 370.64 + ] + }, + { + "text": "the", + "bbox_points": [ + 292.09, + 361.62, + 304.82, + 370.64 + ] + }, + { + "text": "lake", + "bbox_points": [ + 306.94, + 361.62, + 323.89, + 370.64 + ] + }, + { + "text": "water", + "bbox_points": [ + 325.88, + 361.62, + 348.45, + 370.64 + ] + }, + { + "text": "samples", + "bbox_points": [ + 350.6, + 361.62, + 382.91, + 370.64 + ] + }, + { + "text": "are", + "bbox_points": [ + 385.07, + 361.62, + 397.8, + 370.64 + ] + }, + { + "text": "observed", + "bbox_points": [ + 399.87, + 361.62, + 436.03, + 370.64 + ] + }, + { + "text": "at", + "bbox_points": [ + 438.19, + 361.62, + 445.77, + 370.64 + ] + }, + { + "text": "GOR.", + "bbox_points": [ + 447.83, + 361.62, + 471.53, + 370.64 + ] + }, + { + "text": "However,", + "bbox_points": [ + 473.68, + 361.62, + 513.12, + 370.64 + ] + }, + { + "text": "its", + "bbox_points": [ + 515.18, + 361.62, + 524.44, + 370.64 + ] + }, + { + "text": "level", + "bbox_points": [ + 526.64, + 361.62, + 545.55, + 370.64 + ] + } + ] + }, + { + "text": "of concentration was higher at the MEN sampling station. A low level of TP was measured from the MEN sampling point.", + "bbox_points": [ + 43.43, + 374.6, + 545.44, + 383.62 + ], + "words": [ + { + "text": "of", + "bbox_points": [ + 43.43, + 374.6, + 51.38, + 383.62 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 54.37, + 374.6, + 110.68, + 383.62 + ] + }, + { + "text": "was", + "bbox_points": [ + 113.62, + 374.6, + 129.16, + 383.62 + ] + }, + { + "text": "higher", + "bbox_points": [ + 132.04, + 374.6, + 157.89, + 383.62 + ] + }, + { + "text": "at", + "bbox_points": [ + 160.79, + 374.6, + 168.36, + 383.62 + ] + }, + { + "text": "the", + "bbox_points": [ + 171.27, + 374.6, + 184.01, + 383.62 + ] + }, + { + "text": "MEN", + "bbox_points": [ + 186.98, + 374.6, + 209.46, + 383.62 + ] + }, + { + "text": "sampling", + "bbox_points": [ + 212.38, + 374.6, + 248.9, + 383.62 + ] + }, + { + "text": "station.", + "bbox_points": [ + 251.89, + 374.6, + 281.31, + 383.62 + ] + }, + { + "text": "A", + "bbox_points": [ + 284.27, + 374.6, + 291.02, + 383.62 + ] + }, + { + "text": "low", + "bbox_points": [ + 294.02, + 374.6, + 308.79, + 383.62 + ] + }, + { + "text": "level", + "bbox_points": [ + 311.76, + 374.6, + 330.56, + 383.62 + ] + }, + { + "text": "of", + "bbox_points": [ + 333.53, + 374.6, + 341.49, + 383.62 + ] + }, + { + "text": "TP", + "bbox_points": [ + 344.48, + 374.6, + 355.73, + 383.62 + ] + }, + { + "text": "was", + "bbox_points": [ + 358.71, + 374.6, + 374.13, + 383.62 + ] + }, + { + "text": "measured", + "bbox_points": [ + 377.13, + 374.6, + 416.15, + 383.62 + ] + }, + { + "text": "from", + "bbox_points": [ + 419.14, + 374.6, + 438.41, + 383.62 + ] + }, + { + "text": "the", + "bbox_points": [ + 441.42, + 374.6, + 454.16, + 383.62 + ] + }, + { + "text": "MEN", + "bbox_points": [ + 457.13, + 374.6, + 479.61, + 383.62 + ] + }, + { + "text": "sampling", + "bbox_points": [ + 482.53, + 374.6, + 519.05, + 383.62 + ] + }, + { + "text": "point.", + "bbox_points": [ + 522.04, + 374.6, + 545.44, + 383.62 + ] + } + ] + }, + { + "text": "The average concentrations of silicon dioxide at the different sampling sites ranged from 6.42 to 8.21 mg L 1.", + "bbox_points": [ + 43.43, + 385.91, + 490.89, + 396.6 + ], + "words": [ + { + "text": "The", + "bbox_points": [ + 43.43, + 387.58, + 58.89, + 396.6 + ] + }, + { + "text": "average", + "bbox_points": [ + 61.91, + 387.58, + 92.71, + 396.6 + ] + }, + { + "text": "concentrations", + "bbox_points": [ + 95.7, + 387.58, + 155.75, + 396.6 + ] + }, + { + "text": "of", + "bbox_points": [ + 158.74, + 387.58, + 166.7, + 396.6 + ] + }, + { + "text": "silicon", + "bbox_points": [ + 169.74, + 387.58, + 196.33, + 396.6 + ] + }, + { + "text": "dioxide", + "bbox_points": [ + 199.34, + 387.58, + 229.2, + 396.6 + ] + }, + { + "text": "at", + "bbox_points": [ + 232.22, + 387.58, + 239.8, + 396.6 + ] + }, + { + "text": "the", + "bbox_points": [ + 242.71, + 387.58, + 255.44, + 396.6 + ] + }, + { + "text": "different", + "bbox_points": [ + 258.47, + 387.58, + 292.52, + 396.6 + ] + }, + { + "text": "sampling", + "bbox_points": [ + 295.55, + 387.58, + 332.07, + 396.6 + ] + }, + { + "text": "sites", + "bbox_points": [ + 335.06, + 387.58, + 352.57, + 396.6 + ] + }, + { + "text": "ranged", + "bbox_points": [ + 355.59, + 387.58, + 383.21, + 396.6 + ] + }, + { + "text": "from", + "bbox_points": [ + 386.2, + 387.58, + 405.59, + 396.6 + ] + }, + { + "text": "6.42", + "bbox_points": [ + 408.54, + 387.58, + 425.69, + 396.6 + ] + }, + { + "text": "to", + "bbox_points": [ + 428.67, + 387.58, + 436.71, + 396.6 + ] + }, + { + "text": "8.21", + "bbox_points": [ + 439.72, + 387.58, + 456.88, + 396.6 + ] + }, + { + "text": "mg", + "bbox_points": [ + 459.11, + 387.58, + 471.49, + 396.6 + ] + }, + { + "text": "L", + "bbox_points": [ + 473.74, + 387.58, + 479.73, + 396.6 + ] + }, + { + "text": "1.", + "bbox_points": [ + 484.89, + 385.91, + 490.89, + 396.6 + ] + } + ] + }, + { + "text": "Except for turbidity, the water quality of the lake varied significantly within the four seasons (ANOVA, p , 0.05). The sur-", + "bbox_points": [ + 52.44, + 400.31, + 545.43, + 409.64 + ], + "words": [ + { + "text": "Except", + "bbox_points": [ + 52.44, + 400.62, + 80.35, + 409.64 + ] + }, + { + "text": "for", + "bbox_points": [ + 82.94, + 400.62, + 94.45, + 409.64 + ] + }, + { + "text": "turbidity,", + "bbox_points": [ + 97.0, + 400.62, + 133.61, + 409.64 + ] + }, + { + "text": "the", + "bbox_points": [ + 136.07, + 400.62, + 148.8, + 409.64 + ] + }, + { + "text": "water", + "bbox_points": [ + 151.32, + 400.62, + 173.92, + 409.64 + ] + }, + { + "text": "quality", + "bbox_points": [ + 176.43, + 400.62, + 203.86, + 409.64 + ] + }, + { + "text": "of", + "bbox_points": [ + 206.31, + 400.62, + 214.27, + 409.64 + ] + }, + { + "text": "the", + "bbox_points": [ + 216.86, + 400.62, + 229.59, + 409.64 + ] + }, + { + "text": "lake", + "bbox_points": [ + 232.16, + 400.62, + 249.11, + 409.64 + ] + }, + { + "text": "varied", + "bbox_points": [ + 251.55, + 400.62, + 276.73, + 409.64 + ] + }, + { + "text": "significantly", + "bbox_points": [ + 279.33, + 400.31, + 328.01, + 409.64 + ] + }, + { + "text": "within", + "bbox_points": [ + 330.58, + 400.62, + 356.51, + 409.64 + ] + }, + { + "text": "the", + "bbox_points": [ + 359.09, + 400.62, + 371.83, + 409.64 + ] + }, + { + "text": "four", + "bbox_points": [ + 374.35, + 400.62, + 391.0, + 409.64 + ] + }, + { + "text": "seasons", + "bbox_points": [ + 393.62, + 400.62, + 424.52, + 409.64 + ] + }, + { + "text": "(ANOVA,", + "bbox_points": [ + 427.07, + 400.62, + 467.25, + 409.64 + ] + }, + { + "text": "p", + "bbox_points": [ + 469.81, + 400.51, + 474.78, + 409.51 + ] + }, + { + "text": ",", + "bbox_points": [ + 478.32, + 400.31, + 485.82, + 409.31 + ] + }, + { + "text": "0.05).", + "bbox_points": [ + 487.62, + 400.62, + 510.11, + 409.64 + ] + }, + { + "text": "The", + "bbox_points": [ + 512.62, + 400.62, + 528.08, + 409.64 + ] + }, + { + "text": "sur-", + "bbox_points": [ + 530.65, + 400.62, + 545.43, + 409.64 + ] + } + ] + }, + { + "text": "face water temperature showed a slight increase in the main-rainy season. Likewise, an increase in pH was observed from July", + "bbox_points": [ + 43.43, + 413.61, + 545.45, + 422.62 + ], + "words": [ + { + "text": "face", + "bbox_points": [ + 43.43, + 413.61, + 59.92, + 422.62 + ] + }, + { + "text": "water", + "bbox_points": [ + 61.91, + 413.61, + 84.49, + 422.62 + ] + }, + { + "text": "temperature", + "bbox_points": [ + 86.63, + 413.61, + 135.64, + 422.62 + ] + }, + { + "text": "showed", + "bbox_points": [ + 137.83, + 413.61, + 168.71, + 422.62 + ] + }, + { + "text": "a", + "bbox_points": [ + 170.82, + 413.61, + 175.5, + 422.62 + ] + }, + { + "text": "slight", + "bbox_points": [ + 177.62, + 413.61, + 199.34, + 422.62 + ] + }, + { + "text": "increase", + "bbox_points": [ + 201.55, + 413.61, + 234.88, + 422.62 + ] + }, + { + "text": "in", + "bbox_points": [ + 237.04, + 413.61, + 245.0, + 422.62 + ] + }, + { + "text": "the", + "bbox_points": [ + 247.19, + 413.61, + 259.92, + 422.62 + ] + }, + { + "text": "main-rainy", + "bbox_points": [ + 262.1, + 413.61, + 305.54, + 422.62 + ] + }, + { + "text": "season.", + "bbox_points": [ + 307.62, + 413.61, + 337.03, + 422.62 + ] + }, + { + "text": "Likewise,", + "bbox_points": [ + 339.2, + 413.61, + 377.49, + 422.62 + ] + }, + { + "text": "an", + "bbox_points": [ + 379.68, + 413.61, + 389.7, + 422.62 + ] + }, + { + "text": "increase", + "bbox_points": [ + 391.87, + 413.61, + 425.21, + 422.62 + ] + }, + { + "text": "in", + "bbox_points": [ + 427.36, + 413.61, + 435.32, + 422.62 + ] + }, + { + "text": "pH", + "bbox_points": [ + 437.51, + 413.61, + 450.54, + 422.62 + ] + }, + { + "text": "was", + "bbox_points": [ + 452.71, + 413.61, + 468.13, + 422.62 + ] + }, + { + "text": "observed", + "bbox_points": [ + 470.34, + 413.61, + 506.46, + 422.62 + ] + }, + { + "text": "from", + "bbox_points": [ + 508.66, + 413.61, + 527.92, + 422.62 + ] + }, + { + "text": "July", + "bbox_points": [ + 530.09, + 413.61, + 545.45, + 422.62 + ] + } + ] + }, + { + "text": "to September, but it decreased from January to March. The concentration of DO showed significant differences during the", + "bbox_points": [ + 43.43, + 426.27, + 545.43, + 435.61 + ], + "words": [ + { + "text": "to", + "bbox_points": [ + 43.43, + 426.59, + 51.47, + 435.61 + ] + }, + { + "text": "September,", + "bbox_points": [ + 54.6, + 426.59, + 100.13, + 435.61 + ] + }, + { + "text": "but", + "bbox_points": [ + 103.18, + 426.59, + 116.2, + 435.61 + ] + }, + { + "text": "it", + "bbox_points": [ + 119.29, + 426.59, + 124.8, + 435.61 + ] + }, + { + "text": "decreased", + "bbox_points": [ + 127.9, + 426.59, + 168.05, + 435.61 + ] + }, + { + "text": "from", + "bbox_points": [ + 171.16, + 426.59, + 190.42, + 435.61 + ] + }, + { + "text": "January", + "bbox_points": [ + 193.5, + 426.59, + 224.48, + 435.61 + ] + }, + { + "text": "to", + "bbox_points": [ + 227.57, + 426.59, + 235.62, + 435.61 + ] + }, + { + "text": "March.", + "bbox_points": [ + 238.74, + 426.59, + 267.66, + 435.61 + ] + }, + { + "text": "The", + "bbox_points": [ + 270.77, + 426.59, + 286.23, + 435.61 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 289.25, + 426.59, + 345.57, + 435.61 + ] + }, + { + "text": "of", + "bbox_points": [ + 348.67, + 426.59, + 356.63, + 435.61 + ] + }, + { + "text": "DO", + "bbox_points": [ + 359.67, + 426.59, + 374.65, + 435.61 + ] + }, + { + "text": "showed", + "bbox_points": [ + 377.75, + 426.59, + 408.64, + 435.61 + ] + }, + { + "text": "significant", + "bbox_points": [ + 411.66, + 426.27, + 453.21, + 435.61 + ] + }, + { + "text": "differences", + "bbox_points": [ + 456.32, + 426.59, + 500.22, + 435.61 + ] + }, + { + "text": "during", + "bbox_points": [ + 503.32, + 426.59, + 529.63, + 435.61 + ] + }, + { + "text": "the", + "bbox_points": [ + 532.69, + 426.59, + 545.43, + 435.61 + ] + } + ] + }, + { + "text": "study period, with a minimum in the dry months and a maximum in the main-rainy months (Table 2).", + "bbox_points": [ + 43.43, + 439.63, + 461.26, + 448.65 + ], + "words": [ + { + "text": "study", + "bbox_points": [ + 43.43, + 439.63, + 64.86, + 448.65 + ] + }, + { + "text": "period,", + "bbox_points": [ + 67.81, + 439.63, + 96.17, + 448.65 + ] + }, + { + "text": "with", + "bbox_points": [ + 99.21, + 439.63, + 117.19, + 448.65 + ] + }, + { + "text": "a", + "bbox_points": [ + 120.19, + 439.63, + 124.87, + 448.65 + ] + }, + { + "text": "minimum", + "bbox_points": [ + 127.85, + 439.63, + 167.19, + 448.65 + ] + }, + { + "text": "in", + "bbox_points": [ + 170.2, + 439.63, + 178.15, + 448.65 + ] + }, + { + "text": "the", + "bbox_points": [ + 181.14, + 439.63, + 193.87, + 448.65 + ] + }, + { + "text": "dry", + "bbox_points": [ + 196.9, + 439.63, + 210.1, + 448.65 + ] + }, + { + "text": "months", + "bbox_points": [ + 213.11, + 439.63, + 243.45, + 448.65 + ] + }, + { + "text": "and", + "bbox_points": [ + 246.45, + 439.63, + 261.62, + 448.65 + ] + }, + { + "text": "a", + "bbox_points": [ + 264.65, + 439.63, + 269.33, + 448.65 + ] + }, + { + "text": "maximum", + "bbox_points": [ + 272.3, + 439.63, + 313.06, + 448.65 + ] + }, + { + "text": "in", + "bbox_points": [ + 316.07, + 439.63, + 324.03, + 448.65 + ] + }, + { + "text": "the", + "bbox_points": [ + 327.01, + 439.63, + 339.75, + 448.65 + ] + }, + { + "text": "main-rainy", + "bbox_points": [ + 342.77, + 439.63, + 386.22, + 448.65 + ] + }, + { + "text": "months", + "bbox_points": [ + 389.21, + 439.63, + 419.55, + 448.65 + ] + }, + { + "text": "(Table", + "bbox_points": [ + 422.54, + 439.63, + 447.92, + 448.65 + ] + }, + { + "text": "2).", + "bbox_points": [ + 450.94, + 439.63, + 461.26, + 448.65 + ] + } + ] + }, + { + "text": "All the inorganic nutrient contents showed significant differences through the studied seasons (ANOVA: p , 0.05; Table 1).", + "bbox_points": [ + 52.44, + 452.3, + 545.45, + 461.63 + ], + "words": [ + { + "text": "All", + "bbox_points": [ + 52.44, + 452.61, + 64.43, + 461.63 + ] + }, + { + "text": "the", + "bbox_points": [ + 66.67, + 452.61, + 79.41, + 461.63 + ] + }, + { + "text": "inorganic", + "bbox_points": [ + 81.64, + 452.61, + 119.93, + 461.63 + ] + }, + { + "text": "nutrient", + "bbox_points": [ + 122.17, + 452.61, + 154.47, + 461.63 + ] + }, + { + "text": "contents", + "bbox_points": [ + 156.76, + 452.61, + 191.12, + 461.63 + ] + }, + { + "text": "showed", + "bbox_points": [ + 193.33, + 452.61, + 224.18, + 461.63 + ] + }, + { + "text": "significant", + "bbox_points": [ + 226.38, + 452.3, + 267.94, + 461.63 + ] + }, + { + "text": "differences", + "bbox_points": [ + 270.2, + 452.61, + 314.13, + 461.63 + ] + }, + { + "text": "through", + "bbox_points": [ + 316.29, + 452.61, + 348.1, + 461.63 + ] + }, + { + "text": "the", + "bbox_points": [ + 350.37, + 452.61, + 363.1, + 461.63 + ] + }, + { + "text": "studied", + "bbox_points": [ + 365.33, + 452.61, + 394.42, + 461.63 + ] + }, + { + "text": "seasons", + "bbox_points": [ + 396.68, + 452.61, + 427.58, + 461.63 + ] + }, + { + "text": "(ANOVA:", + "bbox_points": [ + 429.85, + 452.61, + 470.4, + 461.63 + ] + }, + { + "text": "p", + "bbox_points": [ + 472.59, + 452.5, + 477.56, + 461.5 + ] + }, + { + "text": ",", + "bbox_points": [ + 479.34, + 452.3, + 486.84, + 461.3 + ] + }, + { + "text": "0.05;", + "bbox_points": [ + 488.64, + 452.61, + 508.41, + 461.63 + ] + }, + { + "text": "Table", + "bbox_points": [ + 510.63, + 452.61, + 532.9, + 461.63 + ] + }, + { + "text": "1).", + "bbox_points": [ + 535.12, + 452.61, + 545.45, + 461.63 + ] + } + ] + }, + { + "text": "The highest peak value of 78.20 μg L", + "bbox_points": [ + 43.43, + 465.28, + 197.79, + 474.61 + ], + "words": [ + { + "text": "The", + "bbox_points": [ + 43.43, + 465.59, + 58.89, + 474.61 + ] + }, + { + "text": "highest", + "bbox_points": [ + 62.76, + 465.59, + 91.69, + 474.61 + ] + }, + { + "text": "peak", + "bbox_points": [ + 95.47, + 465.59, + 114.95, + 474.61 + ] + }, + { + "text": "value", + "bbox_points": [ + 118.83, + 465.59, + 140.46, + 474.61 + ] + }, + { + "text": "of", + "bbox_points": [ + 144.29, + 465.59, + 152.24, + 474.61 + ] + }, + { + "text": "78.20", + "bbox_points": [ + 156.14, + 465.59, + 178.26, + 474.61 + ] + }, + { + "text": "μg", + "bbox_points": [ + 180.45, + 465.28, + 189.55, + 474.61 + ] + }, + { + "text": "L", + "bbox_points": [ + 191.79, + 465.59, + 197.79, + 474.61 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 203.02, + 463.92, + 206.74, + 469.93 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 203.02, + 463.92, + 206.74, + 469.93 + ] + } + ] + }, + { + "text": "nitrate (NO3-N) occurred during the main-rainy season, and the lowest value of", + "bbox_points": [ + 210.61, + 465.59, + 545.41, + 475.43 + ], + "words": [ + { + "text": "nitrate", + "bbox_points": [ + 210.61, + 465.59, + 236.98, + 474.61 + ] + }, + { + "text": "(NO3-N)", + "bbox_points": [ + 240.78, + 465.59, + 275.79, + 475.43 + ] + }, + { + "text": "occurred", + "bbox_points": [ + 279.67, + 465.59, + 315.62, + 474.61 + ] + }, + { + "text": "during", + "bbox_points": [ + 319.47, + 465.59, + 345.77, + 474.61 + ] + }, + { + "text": "the", + "bbox_points": [ + 349.63, + 465.59, + 362.36, + 474.61 + ] + }, + { + "text": "main-rainy", + "bbox_points": [ + 366.24, + 465.59, + 409.68, + 474.61 + ] + }, + { + "text": "season,", + "bbox_points": [ + 413.46, + 465.59, + 442.87, + 474.61 + ] + }, + { + "text": "and", + "bbox_points": [ + 446.75, + 465.59, + 461.91, + 474.61 + ] + }, + { + "text": "the", + "bbox_points": [ + 465.74, + 465.59, + 478.47, + 474.61 + ] + }, + { + "text": "lowest", + "bbox_points": [ + 482.35, + 465.59, + 508.09, + 474.61 + ] + }, + { + "text": "value", + "bbox_points": [ + 512.0, + 465.59, + 533.63, + 474.61 + ] + }, + { + "text": "of", + "bbox_points": [ + 537.46, + 465.59, + 545.41, + 474.61 + ] + } + ] + }, + { + "text": "14.54 μg L", + "bbox_points": [ + 43.43, + 478.26, + 85.14, + 487.59 + ], + "words": [ + { + "text": "14.54", + "bbox_points": [ + 43.43, + 478.58, + 65.55, + 487.59 + ] + }, + { + "text": "μg", + "bbox_points": [ + 67.8, + 478.26, + 76.9, + 487.59 + ] + }, + { + "text": "L", + "bbox_points": [ + 79.14, + 478.58, + 85.14, + 487.59 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 90.37, + 476.9, + 94.09, + 482.91 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 90.37, + 476.9, + 94.09, + 482.91 + ] + } + ] + }, + { + "text": "was measured during the post-rainy months. There was marked temporal fluctuation in the mean value of", + "bbox_points": [ + 98.02, + 478.26, + 545.41, + 487.59 + ], + "words": [ + { + "text": "was", + "bbox_points": [ + 98.02, + 478.58, + 113.57, + 487.59 + ] + }, + { + "text": "measured", + "bbox_points": [ + 117.41, + 478.58, + 156.46, + 487.59 + ] + }, + { + "text": "during", + "bbox_points": [ + 160.44, + 478.58, + 186.75, + 487.59 + ] + }, + { + "text": "the", + "bbox_points": [ + 190.72, + 478.58, + 203.45, + 487.59 + ] + }, + { + "text": "post-rainy", + "bbox_points": [ + 207.39, + 478.58, + 247.17, + 487.59 + ] + }, + { + "text": "months.", + "bbox_points": [ + 251.16, + 478.58, + 283.74, + 487.59 + ] + }, + { + "text": "There", + "bbox_points": [ + 287.67, + 478.58, + 311.18, + 487.59 + ] + }, + { + "text": "was", + "bbox_points": [ + 314.94, + 478.58, + 330.48, + 487.59 + ] + }, + { + "text": "marked", + "bbox_points": [ + 334.33, + 478.58, + 365.23, + 487.59 + ] + }, + { + "text": "temporal", + "bbox_points": [ + 369.08, + 478.58, + 405.5, + 487.59 + ] + }, + { + "text": "fluctuation", + "bbox_points": [ + 409.38, + 478.26, + 452.99, + 487.59 + ] + }, + { + "text": "in", + "bbox_points": [ + 457.0, + 478.58, + 464.96, + 487.59 + ] + }, + { + "text": "the", + "bbox_points": [ + 468.91, + 478.58, + 481.64, + 487.59 + ] + }, + { + "text": "mean", + "bbox_points": [ + 485.58, + 478.58, + 507.97, + 487.59 + ] + }, + { + "text": "value", + "bbox_points": [ + 511.88, + 478.58, + 533.51, + 487.59 + ] + }, + { + "text": "of", + "bbox_points": [ + 537.45, + 478.58, + 545.41, + 487.59 + ] + } + ] + }, + { + "text": "ammonia (NH3-N), with the highest value of 221.26 μg L", + "bbox_points": [ + 43.43, + 491.3, + 277.38, + 501.4 + ], + "words": [ + { + "text": "ammonia", + "bbox_points": [ + 43.43, + 491.62, + 81.64, + 500.63 + ] + }, + { + "text": "(NH3-N),", + "bbox_points": [ + 84.87, + 491.62, + 122.41, + 501.4 + ] + }, + { + "text": "with", + "bbox_points": [ + 125.58, + 491.62, + 143.55, + 500.63 + ] + }, + { + "text": "the", + "bbox_points": [ + 146.78, + 491.62, + 159.51, + 500.63 + ] + }, + { + "text": "highest", + "bbox_points": [ + 162.71, + 491.62, + 191.65, + 500.63 + ] + }, + { + "text": "value", + "bbox_points": [ + 194.74, + 491.62, + 216.37, + 500.63 + ] + }, + { + "text": "of", + "bbox_points": [ + 219.57, + 491.62, + 227.53, + 500.63 + ] + }, + { + "text": "221.26", + "bbox_points": [ + 230.74, + 491.62, + 257.83, + 500.63 + ] + }, + { + "text": "μg", + "bbox_points": [ + 260.05, + 491.3, + 269.14, + 500.63 + ] + }, + { + "text": "L", + "bbox_points": [ + 271.39, + 491.62, + 277.38, + 500.63 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 282.61, + 489.89, + 286.34, + 495.9 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 282.61, + 489.89, + 286.34, + 495.9 + ] + } + ] + }, + { + "text": "detected in the dry season and the lowest value of 8.67 μg L", + "bbox_points": [ + 289.53, + 491.3, + 536.47, + 500.63 + ], + "words": [ + { + "text": "detected", + "bbox_points": [ + 289.53, + 491.62, + 323.62, + 500.63 + ] + }, + { + "text": "in", + "bbox_points": [ + 326.78, + 491.62, + 334.73, + 500.63 + ] + }, + { + "text": "the", + "bbox_points": [ + 337.95, + 491.62, + 350.68, + 500.63 + ] + }, + { + "text": "dry", + "bbox_points": [ + 353.88, + 491.62, + 367.08, + 500.63 + ] + }, + { + "text": "season", + "bbox_points": [ + 370.21, + 491.62, + 397.36, + 500.63 + ] + }, + { + "text": "and", + "bbox_points": [ + 400.54, + 491.62, + 415.7, + 500.63 + ] + }, + { + "text": "the", + "bbox_points": [ + 418.91, + 491.62, + 431.64, + 500.63 + ] + }, + { + "text": "lowest", + "bbox_points": [ + 434.84, + 491.62, + 460.58, + 500.63 + ] + }, + { + "text": "value", + "bbox_points": [ + 463.81, + 491.62, + 485.44, + 500.63 + ] + }, + { + "text": "of", + "bbox_points": [ + 488.64, + 491.62, + 496.6, + 500.63 + ] + }, + { + "text": "8.67", + "bbox_points": [ + 499.81, + 491.62, + 516.96, + 500.63 + ] + }, + { + "text": "μg", + "bbox_points": [ + 519.19, + 491.3, + 528.23, + 500.63 + ] + }, + { + "text": "L", + "bbox_points": [ + 530.47, + 491.62, + 536.47, + 500.63 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 541.7, + 489.89, + 545.43, + 495.9 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 541.7, + 489.89, + 545.43, + 495.9 + ] + } + ] + }, + { + "text": "during the pre-rainy season. Results for the level of SRP were low during the dry months while recording high peaks in", + "bbox_points": [ + 43.43, + 504.6, + 545.48, + 513.62 + ], + "words": [ + { + "text": "during", + "bbox_points": [ + 43.43, + 504.6, + 69.73, + 513.62 + ] + }, + { + "text": "the", + "bbox_points": [ + 73.48, + 504.6, + 86.21, + 513.62 + ] + }, + { + "text": "pre-rainy", + "bbox_points": [ + 89.86, + 504.6, + 125.99, + 513.62 + ] + }, + { + "text": "season.", + "bbox_points": [ + 129.49, + 504.6, + 158.89, + 513.62 + ] + }, + { + "text": "Results", + "bbox_points": [ + 162.6, + 504.6, + 191.41, + 513.62 + ] + }, + { + "text": "for", + "bbox_points": [ + 195.14, + 504.6, + 206.65, + 513.62 + ] + }, + { + "text": "the", + "bbox_points": [ + 210.34, + 504.6, + 223.07, + 513.62 + ] + }, + { + "text": "level", + "bbox_points": [ + 226.78, + 504.6, + 245.58, + 513.62 + ] + }, + { + "text": "of", + "bbox_points": [ + 249.23, + 504.6, + 257.18, + 513.62 + ] + }, + { + "text": "SRP", + "bbox_points": [ + 260.91, + 504.6, + 278.14, + 513.62 + ] + }, + { + "text": "were", + "bbox_points": [ + 281.83, + 504.6, + 301.39, + 513.62 + ] + }, + { + "text": "low", + "bbox_points": [ + 304.96, + 504.6, + 319.85, + 513.62 + ] + }, + { + "text": "during", + "bbox_points": [ + 323.44, + 504.6, + 349.75, + 513.62 + ] + }, + { + "text": "the", + "bbox_points": [ + 353.43, + 504.6, + 366.17, + 513.62 + ] + }, + { + "text": "dry", + "bbox_points": [ + 369.88, + 504.6, + 383.08, + 513.62 + ] + }, + { + "text": "months", + "bbox_points": [ + 386.77, + 504.6, + 417.11, + 513.62 + ] + }, + { + "text": "while", + "bbox_points": [ + 420.79, + 504.6, + 442.98, + 513.62 + ] + }, + { + "text": "recording", + "bbox_points": [ + 446.64, + 504.6, + 485.5, + 513.62 + ] + }, + { + "text": "high", + "bbox_points": [ + 489.1, + 504.6, + 506.9, + 513.62 + ] + }, + { + "text": "peaks", + "bbox_points": [ + 510.59, + 504.6, + 533.81, + 513.62 + ] + }, + { + "text": "in", + "bbox_points": [ + 537.52, + 504.6, + 545.48, + 513.62 + ] + } + ] + }, + { + "text": "the big rainy months. The concentration of TP ranged from 57.88 to 81.07 μg L 1. Minimum values for TP in the lake", + "bbox_points": [ + 43.43, + 515.91, + 545.5, + 526.6 + ], + "words": [ + { + "text": "the", + "bbox_points": [ + 43.43, + 517.58, + 56.16, + 526.6 + ] + }, + { + "text": "big", + "bbox_points": [ + 60.26, + 517.58, + 72.35, + 526.6 + ] + }, + { + "text": "rainy", + "bbox_points": [ + 76.37, + 517.58, + 97.06, + 526.6 + ] + }, + { + "text": "months.", + "bbox_points": [ + 101.08, + 517.58, + 133.67, + 526.6 + ] + }, + { + "text": "The", + "bbox_points": [ + 137.71, + 517.58, + 153.17, + 526.6 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 157.21, + 517.58, + 213.52, + 526.6 + ] + }, + { + "text": "of", + "bbox_points": [ + 217.59, + 517.58, + 225.55, + 526.6 + ] + }, + { + "text": "TP", + "bbox_points": [ + 229.61, + 517.58, + 240.86, + 526.6 + ] + }, + { + "text": "ranged", + "bbox_points": [ + 244.92, + 517.58, + 272.54, + 526.6 + ] + }, + { + "text": "from", + "bbox_points": [ + 276.61, + 517.58, + 295.88, + 526.6 + ] + }, + { + "text": "57.88", + "bbox_points": [ + 299.97, + 517.58, + 322.09, + 526.6 + ] + }, + { + "text": "to", + "bbox_points": [ + 326.1, + 517.58, + 334.15, + 526.6 + ] + }, + { + "text": "81.07", + "bbox_points": [ + 338.24, + 517.58, + 360.36, + 526.6 + ] + }, + { + "text": "μg", + "bbox_points": [ + 362.61, + 517.27, + 371.7, + 526.6 + ] + }, + { + "text": "L", + "bbox_points": [ + 373.95, + 517.58, + 379.94, + 526.6 + ] + }, + { + "text": "1.", + "bbox_points": [ + 385.11, + 515.91, + 391.11, + 526.6 + ] + }, + { + "text": "Minimum", + "bbox_points": [ + 395.15, + 517.58, + 435.33, + 526.6 + ] + }, + { + "text": "values", + "bbox_points": [ + 439.43, + 517.58, + 464.8, + 526.6 + ] + }, + { + "text": "for", + "bbox_points": [ + 468.85, + 517.58, + 480.36, + 526.6 + ] + }, + { + "text": "TP", + "bbox_points": [ + 484.44, + 517.58, + 495.69, + 526.6 + ] + }, + { + "text": "in", + "bbox_points": [ + 499.75, + 517.58, + 507.71, + 526.6 + ] + }, + { + "text": "the", + "bbox_points": [ + 511.77, + 517.58, + 524.5, + 526.6 + ] + }, + { + "text": "lake", + "bbox_points": [ + 528.55, + 517.58, + 545.5, + 526.6 + ] + } + ] + }, + { + "text": "water samples are observed during the main-rainy season. Maximum TP is recorded during the pre-rainy season. The", + "bbox_points": [ + 43.43, + 530.62, + 545.44, + 539.64 + ], + "words": [ + { + "text": "water", + "bbox_points": [ + 43.43, + 530.62, + 66.0, + 539.64 + ] + }, + { + "text": "samples", + "bbox_points": [ + 70.47, + 530.62, + 102.78, + 539.64 + ] + }, + { + "text": "are", + "bbox_points": [ + 107.26, + 530.62, + 120.0, + 539.64 + ] + }, + { + "text": "observed", + "bbox_points": [ + 124.39, + 530.62, + 160.51, + 539.64 + ] + }, + { + "text": "during", + "bbox_points": [ + 164.98, + 530.62, + 191.29, + 539.64 + ] + }, + { + "text": "the", + "bbox_points": [ + 195.76, + 530.62, + 208.5, + 539.64 + ] + }, + { + "text": "main-rainy", + "bbox_points": [ + 213.0, + 530.62, + 256.44, + 539.64 + ] + }, + { + "text": "season.", + "bbox_points": [ + 260.79, + 530.62, + 290.2, + 539.64 + ] + }, + { + "text": "Maximum", + "bbox_points": [ + 294.7, + 530.62, + 336.28, + 539.64 + ] + }, + { + "text": "TP", + "bbox_points": [ + 340.73, + 530.62, + 351.98, + 539.64 + ] + }, + { + "text": "is", + "bbox_points": [ + 356.44, + 530.62, + 362.8, + 539.64 + ] + }, + { + "text": "recorded", + "bbox_points": [ + 367.26, + 530.62, + 403.22, + 539.64 + ] + }, + { + "text": "during", + "bbox_points": [ + 407.69, + 530.62, + 433.99, + 539.64 + ] + }, + { + "text": "the", + "bbox_points": [ + 438.47, + 530.62, + 451.21, + 539.64 + ] + }, + { + "text": "pre-rainy", + "bbox_points": [ + 455.71, + 530.62, + 491.72, + 539.64 + ] + }, + { + "text": "season.", + "bbox_points": [ + 496.13, + 530.62, + 525.53, + 539.64 + ] + }, + { + "text": "The", + "bbox_points": [ + 529.98, + 530.62, + 545.44, + 539.64 + ] + } + ] + }, + { + "text": "mean concentrations of silicon dioxide (SiO2) were variable in the study time, with the highest value of 14.30 mg L", + "bbox_points": [ + 43.43, + 543.6, + 505.86, + 553.38 + ], + "words": [ + { + "text": "mean", + "bbox_points": [ + 43.43, + 543.6, + 65.82, + 552.62 + ] + }, + { + "text": "concentrations", + "bbox_points": [ + 68.32, + 543.6, + 128.4, + 552.62 + ] + }, + { + "text": "of", + "bbox_points": [ + 130.79, + 543.6, + 138.75, + 552.62 + ] + }, + { + "text": "silicon", + "bbox_points": [ + 141.22, + 543.6, + 167.81, + 552.62 + ] + }, + { + "text": "dioxide", + "bbox_points": [ + 170.31, + 543.6, + 200.17, + 552.62 + ] + }, + { + "text": "(SiO2)", + "bbox_points": [ + 202.68, + 543.6, + 228.1, + 553.38 + ] + }, + { + "text": "were", + "bbox_points": [ + 230.57, + 543.6, + 250.13, + 552.62 + ] + }, + { + "text": "variable", + "bbox_points": [ + 252.51, + 543.6, + 284.81, + 552.62 + ] + }, + { + "text": "in", + "bbox_points": [ + 287.32, + 543.6, + 295.28, + 552.62 + ] + }, + { + "text": "the", + "bbox_points": [ + 297.75, + 543.6, + 310.49, + 552.62 + ] + }, + { + "text": "study", + "bbox_points": [ + 312.95, + 543.6, + 334.28, + 552.62 + ] + }, + { + "text": "time,", + "bbox_points": [ + 336.76, + 543.6, + 356.9, + 552.62 + ] + }, + { + "text": "with", + "bbox_points": [ + 359.38, + 543.6, + 377.35, + 552.62 + ] + }, + { + "text": "the", + "bbox_points": [ + 379.85, + 543.6, + 392.58, + 552.62 + ] + }, + { + "text": "highest", + "bbox_points": [ + 395.04, + 543.6, + 423.98, + 552.62 + ] + }, + { + "text": "value", + "bbox_points": [ + 426.34, + 543.6, + 447.96, + 552.62 + ] + }, + { + "text": "of", + "bbox_points": [ + 450.43, + 543.6, + 458.39, + 552.62 + ] + }, + { + "text": "14.30", + "bbox_points": [ + 460.86, + 543.6, + 482.98, + 552.62 + ] + }, + { + "text": "mg", + "bbox_points": [ + 485.24, + 543.6, + 497.62, + 552.62 + ] + }, + { + "text": "L", + "bbox_points": [ + 499.87, + 543.6, + 505.86, + 552.62 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 511.03, + 541.87, + 514.76, + 547.88 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 511.03, + 541.87, + 514.76, + 547.88 + ] + } + ] + }, + { + "text": "specifi-", + "bbox_points": [ + 517.27, + 543.29, + 545.46, + 552.62 + ], + "words": [ + { + "text": "specifi-", + "bbox_points": [ + 517.27, + 543.29, + 545.46, + 552.62 + ] + } + ] + }, + { + "text": "cally in the post-rainy season (Table 2).", + "bbox_points": [ + 43.43, + 556.59, + 203.65, + 565.6 + ], + "words": [ + { + "text": "cally", + "bbox_points": [ + 43.43, + 556.59, + 62.34, + 565.6 + ] + }, + { + "text": "in", + "bbox_points": [ + 65.37, + 556.59, + 73.32, + 565.6 + ] + }, + { + "text": "the", + "bbox_points": [ + 76.31, + 556.59, + 89.04, + 565.6 + ] + }, + { + "text": "post-rainy", + "bbox_points": [ + 92.07, + 556.59, + 131.85, + 565.6 + ] + }, + { + "text": "season", + "bbox_points": [ + 134.76, + 556.59, + 161.91, + 565.6 + ] + }, + { + "text": "(Table", + "bbox_points": [ + 164.98, + 556.59, + 190.43, + 565.6 + ] + }, + { + "text": "2).", + "bbox_points": [ + 193.32, + 556.59, + 203.65, + 565.6 + ] + } + ] + }, + { + "text": "PCA was conducted to determine the relationship between physico-chemical parameters and sampling sites. 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The first principal component (PC1) explained 59.1% of the total variance.", + "bbox_points": [ + 43.43, + 582.29, + 545.46, + 591.63 + ], + "words": [ + { + "text": "with", + "bbox_points": [ + 43.43, + 582.61, + 61.4, + 591.63 + ] + }, + { + "text": "Eigen", + "bbox_points": [ + 64.23, + 582.61, + 87.37, + 591.63 + ] + }, + { + "text": "values", + "bbox_points": [ + 90.14, + 582.61, + 115.51, + 591.63 + ] + }, + { + "text": "greater", + "bbox_points": [ + 118.32, + 582.61, + 146.39, + 591.63 + ] + }, + { + "text": "than", + "bbox_points": [ + 149.1, + 582.61, + 167.36, + 591.63 + ] + }, + { + "text": "1", + "bbox_points": [ + 170.14, + 582.61, + 175.11, + 591.63 + ] + }, + { + "text": "were", + "bbox_points": [ + 177.91, + 582.61, + 197.47, + 591.63 + ] + }, + { + "text": "retracted.", + "bbox_points": [ + 200.19, + 582.61, + 238.42, + 591.63 + ] + }, + { + "text": "The", + "bbox_points": [ + 241.18, + 582.61, + 256.64, + 591.63 + ] + }, + { + "text": "first", + "bbox_points": [ + 259.43, + 582.29, + 274.95, + 591.63 + ] + }, + { + "text": "principal", + "bbox_points": [ + 277.68, + 582.61, + 313.91, + 591.63 + ] + }, + { + "text": "component", + "bbox_points": [ + 316.69, + 582.61, + 362.58, + 591.63 + ] + }, + { + "text": "(PC1)", + "bbox_points": [ + 365.56, + 582.61, + 388.79, + 591.63 + ] + }, + { + "text": "explained", + "bbox_points": [ + 391.58, + 582.61, + 430.7, + 591.63 + ] + }, + { + "text": "59.1%", + "bbox_points": [ + 433.53, + 582.61, + 458.56, + 591.63 + ] + }, + { + "text": "of", + "bbox_points": [ + 461.31, + 582.61, + 469.27, + 591.63 + ] + }, + { + "text": "the", + "bbox_points": [ + 472.09, + 582.61, + 484.82, + 591.63 + ] + }, + { + "text": "total", + "bbox_points": [ + 487.62, + 582.61, + 505.86, + 591.63 + ] + }, + { + "text": "variance.", + "bbox_points": [ + 508.65, + 582.61, + 545.46, + 591.63 + ] + } + ] + }, + { + "text": "PC1 had a high positive correlation with total alkalinity, pH, DO, and water temperature, while strongly negatively associated", + "bbox_points": [ + 43.43, + 595.59, + 545.47, + 604.61 + ], + "words": [ + { + "text": "PC1", + "bbox_points": [ + 43.43, + 595.59, + 60.48, + 604.61 + ] + }, + { + "text": "had", + "bbox_points": [ + 62.7, + 595.59, + 77.87, + 604.61 + ] + }, + { + "text": "a", + "bbox_points": [ + 80.11, + 595.59, + 84.79, + 604.61 + ] + }, + { + "text": "high", + "bbox_points": [ + 86.97, + 595.59, + 104.76, + 604.61 + ] + }, + { + "text": "positive", + "bbox_points": [ + 106.98, + 595.59, + 138.24, + 604.61 + ] + }, + { + "text": "correlation", + "bbox_points": [ + 140.49, + 595.59, + 184.84, + 604.61 + ] + }, + { + "text": "with", + "bbox_points": [ + 187.09, + 595.59, + 205.06, + 604.61 + ] + }, + { + "text": "total", + "bbox_points": [ + 207.27, + 595.59, + 225.52, + 604.61 + ] + }, + { + "text": "alkalinity,", + "bbox_points": [ + 227.74, + 595.59, + 267.63, + 604.61 + ] + }, + { + "text": "pH,", + "bbox_points": [ + 269.86, + 595.59, + 285.14, + 604.61 + ] + }, + { + "text": "DO,", + "bbox_points": [ + 287.33, + 595.59, + 304.56, + 604.61 + ] + }, + { + "text": "and", + "bbox_points": [ + 306.77, + 595.59, + 321.94, + 604.61 + ] + }, + { + "text": "water", + "bbox_points": [ + 324.12, + 595.59, + 346.7, + 604.61 + ] + }, + { + "text": "temperature,", + "bbox_points": [ + 348.89, + 595.59, + 400.15, + 604.61 + ] + }, + { + "text": "while", + "bbox_points": [ + 402.36, + 595.59, + 424.55, + 604.61 + ] + }, + { + "text": "strongly", + "bbox_points": [ + 426.79, + 595.59, + 458.87, + 604.61 + ] + }, + { + "text": "negatively", + "bbox_points": [ + 461.09, + 595.59, + 501.83, + 604.61 + ] + }, + { + "text": "associated", + "bbox_points": [ + 503.9, + 595.59, + 545.47, + 604.61 + ] + } + ] + }, + { + "text": "with NH3 (Table 3). 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}, + { + "text": "Chl-a TSI (Chl-a) 54.42 40.57 43.84 35.81 47.24", + "bbox_points": [ + 159.48, + 150.86, + 563.91, + 158.88 + ], + "words": [ + { + "text": "Chl-a", + "bbox_points": [ + 159.48, + 150.86, + 178.53, + 158.88 + ] + }, + { + "text": "TSI", + "bbox_points": [ + 238.05, + 150.86, + 250.96, + 158.88 + ] + }, + { + "text": "(Chl-a)", + "bbox_points": [ + 253.3, + 150.86, + 277.85, + 158.88 + ] + }, + { + "text": "54.42", + "bbox_points": [ + 339.76, + 150.86, + 359.42, + 158.88 + ] + }, + { + "text": "40.57", + "bbox_points": [ + 393.16, + 150.86, + 412.83, + 158.88 + ] + }, + { + "text": "43.84", + "bbox_points": [ + 438.86, + 150.86, + 458.52, + 158.88 + ] + }, + { + "text": "35.81", + "bbox_points": [ + 488.92, + 150.86, + 508.58, + 158.88 + ] + }, + { + "text": "47.24", + "bbox_points": [ + 544.25, + 150.86, + 563.91, + 158.88 + ] + } + ] + }, + { + "text": "Total TSILamp 48.72 44.13 47.69 43.65 47.18", + "bbox_points": [ + 159.48, + 161.41, + 563.92, + 170.1 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 159.48, + 161.41, + 177.94, + 169.42 + ] + }, + { + "text": "TSILamp", + "bbox_points": [ + 238.05, + 161.41, + 266.72, + 170.1 + ] + }, + { + "text": "48.72", + "bbox_points": [ + 339.76, + 161.41, + 359.42, + 169.42 + ] + }, + { + "text": "44.13", + "bbox_points": [ + 393.17, + 161.41, + 412.83, + 169.42 + ] + }, + { + "text": "47.69", + "bbox_points": [ + 438.86, + 161.41, + 458.52, + 169.42 + ] + }, + { + "text": "43.65", + "bbox_points": [ + 488.92, + 161.41, + 508.58, + 169.42 + ] + }, + { + "text": "47.18", + "bbox_points": [ + 544.25, + 161.41, + 563.92, + 169.42 + ] + } + ] + }, + { + "text": "Cunha et al. (2013) TP TSI (TP)tsr 57.56 57.81 58.34 57.00 57.71", + "bbox_points": [ + 64.01, + 175.25, + 563.91, + 183.37 + ], + "words": [ + { + "text": "Cunha", + "bbox_points": [ + 64.01, + 175.35, + 87.97, + 183.37 + ] + }, + { + "text": "et", + "bbox_points": [ + 90.31, + 175.25, + 96.63, + 183.25 + ] + }, + { + "text": "al.", + "bbox_points": [ + 99.04, + 175.25, + 107.96, + 183.25 + ] + }, + { + "text": "(2013)", + "bbox_points": [ + 110.32, + 175.35, + 133.48, + 183.37 + ] + }, + { + "text": "TP", + "bbox_points": [ + 159.48, + 175.35, + 169.48, + 183.37 + ] + }, + { + "text": "TSI", + "bbox_points": [ + 238.05, + 175.35, + 250.96, + 183.37 + ] + }, + { + "text": "(TP)tsr", + "bbox_points": [ + 253.3, + 175.35, + 277.85, + 183.37 + ] + }, + { + "text": "57.56", + "bbox_points": [ + 339.76, + 175.35, + 359.42, + 183.37 + ] + }, + { + "text": "57.81", + "bbox_points": [ + 393.16, + 175.35, + 412.83, + 183.37 + ] + }, + { + "text": "58.34", + "bbox_points": [ + 438.86, + 175.35, + 458.52, + 183.37 + ] + }, + { + "text": "57.00", + "bbox_points": [ + 488.92, + 175.35, + 508.58, + 183.37 + ] + }, + { + "text": "57.71", + "bbox_points": [ + 544.25, + 175.35, + 563.91, + 183.37 + ] + } + ] + }, + { + "text": "Chl-a TSI(Chl-a)tsr 55.58 48.36 50.06 45.88 52.15", + "bbox_points": [ + 159.48, + 185.9, + 563.91, + 193.91 + ], + "words": [ + { + "text": "Chl-a", + "bbox_points": [ + 159.48, + 185.9, + 178.53, + 193.91 + ] + }, + { + "text": "TSI(Chl-a)tsr", + "bbox_points": [ + 238.05, + 185.9, + 284.47, + 193.91 + ] + }, + { + "text": "55.58", + "bbox_points": [ + 339.76, + 185.9, + 359.42, + 193.91 + ] + }, + { + "text": "48.36", + "bbox_points": [ + 393.16, + 185.9, + 412.83, + 193.91 + ] + }, + { + "text": "50.06", + "bbox_points": [ + 438.86, + 185.9, + 458.52, + 193.91 + ] + }, + { + "text": "45.88", + "bbox_points": [ + 488.92, + 185.9, + 508.58, + 193.91 + ] + }, + { + "text": "52.15", + "bbox_points": [ + 544.25, + 185.9, + 563.91, + 193.91 + ] + } + ] + }, + { + "text": "Total TSItsr 56.57 53.08 54.20 51.44 54.93", + "bbox_points": [ + 159.48, + 196.39, + 563.92, + 204.4 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 159.48, + 196.39, + 177.94, + 204.4 + ] + }, + { + "text": "TSItsr", + "bbox_points": [ + 238.05, + 196.39, + 260.02, + 204.4 + ] + }, + { + "text": "56.57", + "bbox_points": [ + 339.76, + 196.39, + 359.42, + 204.4 + ] + }, + { + "text": "53.08", + "bbox_points": [ + 393.17, + 196.39, + 412.83, + 204.4 + ] + }, + { + "text": "54.20", + "bbox_points": [ + 438.86, + 196.39, + 458.52, + 204.4 + ] + }, + { + "text": "51.44", + "bbox_points": [ + 488.92, + 196.39, + 508.58, + 204.4 + ] + }, + { + "text": "54.93", + "bbox_points": [ + 544.25, + 196.39, + 563.92, + 204.4 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Mohammed et al. - 2024 - Evaluation of water quality and trophic status in relation to seasonal water mixing in a highland La/table_04.txt b/Figures/Mohammed et al. - 2024 - Evaluation of water quality and trophic status in relation to seasonal water mixing in a highland La/table_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..8edacc10da556ec047ea70b84f95b4a8f99afe98 --- /dev/null +++ b/Figures/Mohammed et al. - 2024 - Evaluation of water quality and trophic status in relation to seasonal water mixing in a highland La/table_04.txt @@ -0,0 +1 @@ +Trophic state index values estimated for Lake Ardibo according to Lamparelli (2004) and Cunha et al. 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"Nash–Sutcliffe coefficient of efficiency NSE ¼ 1 P", + "bbox_points": [ + 70.87, + 313.52, + 289.61, + 323.5 + ], + "words": [ + { + "text": "Nash–Sutcliffe", + "bbox_points": [ + 70.87, + 313.52, + 123.31, + 321.81 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 125.69, + 313.52, + 163.12, + 321.81 + ] + }, + { + "text": "of", + "bbox_points": [ + 165.49, + 313.8, + 172.56, + 321.81 + ] + }, + { + "text": "efficiency", + "bbox_points": [ + 174.96, + 313.52, + 209.2, + 321.81 + ] + }, + { + "text": "NSE", + "bbox_points": [ + 229.21, + 313.8, + 246.19, + 321.81 + ] + }, + { + "text": "¼", + "bbox_points": [ + 248.37, + 313.52, + 254.53, + 321.52 + ] + }, + { + "text": "1", + "bbox_points": [ + 256.71, + 313.8, + 261.12, + 321.81 + ] + }, + { + "text": "P", + "bbox_points": [ + 281.2, + 315.5, + 289.61, + 323.5 + ] + } + ] + }, + { + "text": "2", + "bbox_points": [ + 327.06, + 318.75, + 330.15, + 324.36 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 327.06, + 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"text": "0.65", + "bbox_points": [ + 388.01, + 324.34, + 403.26, + 332.36 + ] + }, + { + "text": ",", + "bbox_points": [ + 404.79, + 324.06, + 411.45, + 332.06 + ] + }, + { + "text": "NSE", + "bbox_points": [ + 413.01, + 324.34, + 429.99, + 332.36 + ] + }, + { + "text": "0.75", + "bbox_points": [ + 439.26, + 324.34, + 454.51, + 332.36 + ] + }, + { + "text": "good", + "bbox_points": [ + 482.69, + 324.34, + 500.41, + 332.36 + ] + } + ] + }, + { + "text": "Pn", + "bbox_points": [ + 281.54, + 337.1, + 293.25, + 346.9 + ], + "words": [ + { + "text": "Pn", + "bbox_points": [ + 281.54, + 337.1, + 293.25, + 346.9 + ] + } + ] + }, + { + "text": "0.5 , NSE 0.75 Satisfactory", + "bbox_points": [ + 388.01, + 334.55, + 524.47, + 342.85 + ], + "words": [ + { + "text": "0.5", + "bbox_points": [ + 388.01, + 334.83, + 398.84, + 342.85 + ] + }, + { + "text": ",", + "bbox_points": [ + 400.37, + 334.55, + 407.03, + 342.55 + ] + }, + { + "text": "NSE", + "bbox_points": [ + 408.59, + 334.83, + 425.57, + 342.85 + ] + }, + { + "text": "0.75", + "bbox_points": [ + 434.84, + 334.83, + 450.09, + 342.85 + ] + }, + { + "text": "Satisfactory", + "bbox_points": [ + 482.69, + 334.83, + 524.47, + 342.85 + ] + } + ] + }, + { + "text": "i¼1", + "bbox_points": [ + 289.93, + 347.3, + 299.08, + 353.11 + ], + "words": [ + { + "text": "i¼1", + "bbox_points": [ + 289.93, + 347.3, + 299.08, + 353.11 + ] + } + ] + }, + { + "text": "(QS QO)", + "bbox_points": [ + 300.93, + 343.29, + 337.46, + 352.06 + ], + "words": [ + { + "text": "(QS", + "bbox_points": [ + 300.93, + 343.29, + 313.14, + 352.06 + ] + }, + { + "text": "QO)", + "bbox_points": [ + 323.32, + 343.29, + 337.46, + 352.06 + ] + } + ] + }, + { + "text": "Percentage of bias PBIAS ¼ 100 Pn PBIAS , +10 Very good", + "bbox_points": [ + 70.87, + 348.33, + 519.8, + 358.18 + ], + "words": [ + { + "text": "Percentage", + "bbox_points": [ + 70.87, + 348.83, + 110.14, + 356.85 + ] + }, + { + "text": "of", + "bbox_points": [ + 112.48, + 348.83, + 119.56, + 356.85 + ] + }, + { + "text": "bias", + "bbox_points": [ + 121.95, + 348.83, + 136.18, + 356.85 + ] + }, + { + "text": "PBIAS", + "bbox_points": [ + 229.21, + 348.83, + 253.69, + 356.85 + ] + }, + { + "text": "¼", + "bbox_points": [ + 255.86, + 348.55, + 262.02, + 356.55 + ] + }, + { + "text": "100", + "bbox_points": [ + 264.19, + 348.83, + 277.44, + 356.85 + ] + }, + { + "text": "Pn", + "bbox_points": [ + 291.4, + 348.33, + 303.11, + 358.18 + ] + }, + { + "text": "PBIAS", + "bbox_points": [ + 388.01, + 348.83, + 412.49, + 356.85 + ] + }, + { + "text": ",", + "bbox_points": [ + 413.97, + 348.55, + 420.64, + 356.55 + ] + }, + { + "text": "+10", + "bbox_points": [ + 422.19, + 348.55, + 439.02, + 356.85 + ] + }, + { + "text": "Very", + "bbox_points": [ + 482.68, + 348.83, + 499.68, + 356.85 + ] + }, + { + "text": "good", + "bbox_points": [ + 502.07, + 348.83, + 519.8, + 356.85 + ] + } + ] + }, + { + "text": "i¼1", + "bbox_points": [ + 299.79, + 358.53, + 308.95, + 364.33 + ], + "words": [ 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372.14, + 274.71, + 381.94 + ] + } + ] + }, + { + "text": "+15 PBIAS , +25 Satisfactory", + "bbox_points": [ + 388.01, + 369.53, + 524.47, + 377.83 + ], + "words": [ + { + "text": "+15", + "bbox_points": [ + 388.01, + 369.53, + 404.78, + 377.83 + ] + }, + { + "text": "PBIAS", + "bbox_points": [ + 414.09, + 369.81, + 438.57, + 377.83 + ] + }, + { + "text": ",", + "bbox_points": [ + 440.05, + 369.53, + 446.72, + 377.53 + ] + }, + { + "text": "+25", + "bbox_points": [ + 448.27, + 369.53, + 465.1, + 377.83 + ] + }, + { + "text": "Satisfactory", + "bbox_points": [ + 482.68, + 369.81, + 524.47, + 377.83 + ] + } + ] + }, + { + "text": "i¼1", + "bbox_points": [ + 271.39, + 382.28, + 280.55, + 388.09 + ], + "words": [ + { + "text": "i¼1", + "bbox_points": [ + 271.39, + 382.28, + 280.55, + 388.09 + ] + } + ] + }, + { + "text": "(QO QS)2", + "bbox_points": [ + 282.39, + 376.3, + 321.99, + 387.04 + ], + "words": [ + { + "text": "(QO", + "bbox_points": [ + 282.39, + 378.27, + 296.01, + 387.04 + ] + }, + { + "text": "QS)2", + "bbox_points": [ + 306.2, + 376.3, + 321.99, + 387.04 + ] + } + ] + }, + { + "text": "Index of agreement IA ¼ 1", + "bbox_points": [ + 70.87, + 383.53, + 253.36, + 391.83 + ], + "words": [ + { + "text": "Index", + "bbox_points": [ + 70.87, + 383.81, + 91.3, + 391.83 + ] + }, + { + "text": "of", + "bbox_points": [ + 93.72, + 383.81, + 100.79, + 391.83 + ] + }, + { + "text": "agreement", + "bbox_points": [ + 103.18, + 383.81, + 140.62, + 391.83 + ] + }, + { + "text": "IA", + "bbox_points": [ + 229.21, + 383.81, + 238.37, + 391.83 + ] + }, + { + "text": "¼", + "bbox_points": [ + 240.55, + 383.53, + 246.71, + 391.53 + ] + }, + { + "text": "1", + "bbox_points": [ + 248.94, + 383.81, + 253.36, + 391.83 + ] + } + ] + }, + { + "text": "Pn 2", + "bbox_points": [ + 263.74, + 385.86, + 321.31, + 395.71 + ], + "words": [ + { + "text": "Pn", + "bbox_points": [ + 263.74, + 385.86, + 275.45, + 395.71 + ] + }, + { + "text": "2", + "bbox_points": [ + 318.22, + 388.71, + 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"text": "(Qo", + "bbox_points": [ + 283.07, + 392.05, + 295.29, + 400.7 + ] + }, + { + "text": "Qo)", + "bbox_points": [ + 305.46, + 392.05, + 318.18, + 400.7 + ] + }, + { + "text": "0.65", + "bbox_points": [ + 388.01, + 394.3, + 403.25, + 402.32 + ] + }, + { + "text": ",", + "bbox_points": [ + 404.79, + 394.02, + 411.45, + 402.02 + ] + }, + { + "text": "IA", + "bbox_points": [ + 413.01, + 394.3, + 422.17, + 402.32 + ] + }, + { + "text": "0.75", + "bbox_points": [ + 431.43, + 394.3, + 446.68, + 402.32 + ] + }, + { + "text": "Good", + "bbox_points": [ + 482.68, + 394.3, + 503.16, + 402.32 + ] + } + ] + }, + { + "text": "q ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi", + "bbox_points": [ + 255.8, + 401.45, + 329.52, + 409.45 + ], + "words": [ + { + "text": "q", + "bbox_points": [ + 255.8, + 401.45, + 263.8, + 409.45 + ] + }, + { + "text": "ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi", + "bbox_points": [ + 263.79, + 401.45, + 329.52, + 409.45 + ] + } + ] + }, + { + "text": "Pn 0.5 , AI 0.75 Satisfactory", + "bbox_points": [ + 263.79, + 404.57, + 524.47, + 415.22 + ], + "words": [ + { + "text": "Pn", + "bbox_points": [ + 263.79, + 405.42, + 275.5, + 415.22 + ] + }, + { + "text": "0.5", + "bbox_points": [ + 388.01, + 404.85, + 398.84, + 412.86 + ] + }, + { + "text": ",", + "bbox_points": [ + 400.37, + 404.57, + 407.03, + 412.57 + ] + }, + { + "text": "AI", + "bbox_points": [ + 408.59, + 404.85, + 417.75, + 412.86 + ] + }, + { + "text": "0.75", + "bbox_points": [ + 427.01, + 404.85, + 442.26, + 412.86 + ] + }, + { + "text": "Satisfactory", + "bbox_points": [ + 482.68, + 404.85, + 524.47, + 412.86 + ] + } + ] + }, + { + "text": "i¼1 (QO,i QS,i)2", + "bbox_points": [ + 272.18, + 409.63, + 329.02, + 421.37 + ], + "words": [ + { + "text": "i¼1", + "bbox_points": [ + 272.18, + 415.56, + 281.28, + 421.37 + ] + }, + { + "text": "(QO,i", + "bbox_points": [ + 283.12, + 411.61, + 299.9, + 420.46 + ] + }, + { + "text": "QS,i)2", + "bbox_points": [ + 310.11, + 409.63, + 329.02, + 420.46 + ] + } + ] + }, + { + "text": "Standard deviation ratio RSR ¼ q ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi RSR , 0.5 Very good", + "bbox_points": [ + 70.87, + 418.34, + 519.8, + 426.87 + ], + "words": [ + { + "text": "Standard", + "bbox_points": [ + 70.87, + 418.85, + 103.56, + 426.87 + ] + }, + { + "text": "deviation", + "bbox_points": [ + 105.9, + 418.85, + 139.18, + 426.87 + ] + }, + { + "text": "ratio", + "bbox_points": [ + 141.56, + 418.85, + 158.02, + 426.87 + ] + }, + { + "text": "RSR", + "bbox_points": [ + 229.21, + 418.85, + 245.11, + 426.87 + ] + }, + { + "text": "¼", + "bbox_points": [ + 247.47, + 418.57, + 253.63, + 426.57 + ] + }, + { + "text": "q", + "bbox_points": [ + 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}, + { + "text": "1.57", + "bbox_points": [ + 151.37, + 342.32, + 166.62, + 350.33 + ] + }, + { + "text": "–", + "bbox_points": [ + 219.74, + 342.04, + 223.74, + 350.04 + ] + }, + { + "text": "1.33", + "bbox_points": [ + 251.72, + 342.32, + 266.96, + 350.33 + ] + }, + { + "text": "þ", + "bbox_points": [ + 268.5, + 342.04, + 274.66, + 350.04 + ] + }, + { + "text": "0.11", + "bbox_points": [ + 276.21, + 342.32, + 291.46, + 350.33 + ] + }, + { + "text": "þ", + "bbox_points": [ + 292.99, + 342.04, + 299.15, + 350.04 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 300.7, + 342.32, + 315.95, + 350.33 + ] + }, + { + "text": "þ", + "bbox_points": [ + 317.48, + 342.04, + 323.64, + 350.04 + ] + }, + { + "text": "0.06", + "bbox_points": [ + 325.25, + 342.32, + 340.49, + 350.33 + ] + }, + { + "text": "¼", + "bbox_points": [ + 407.68, + 342.04, + 413.84, + 350.04 + ] + }, + { + "text": "0.51–0.49", + "bbox_points": [ + 443.39, + 342.04, + 477.86, + 350.33 + ] + } + ] + }, + { + "text": "1.569 – 1.553 ¼ 0.016", + "bbox_points": [ + 151.37, + 352.52, + 463.06, + 360.82 + ], + "words": [ + { + "text": "1.569", + "bbox_points": [ + 151.37, + 352.8, + 171.03, + 360.82 + ] + }, + { + "text": "–", + "bbox_points": [ + 219.74, + 352.52, + 223.74, + 360.52 + ] + }, + { + "text": "1.553", + "bbox_points": [ + 251.72, + 352.8, + 271.38, + 360.82 + ] + }, + { + "text": "¼", + "bbox_points": [ + 407.68, + 352.52, + 413.84, + 360.52 + ] + }, + { + "text": "0.016", + "bbox_points": [ + 443.39, + 352.8, + 463.06, + 360.82 + ] + } + ] + }, + { + "text": "0.02 ¼ 0.02a", + "bbox_points": [ + 251.72, + 361.82, + 461.71, + 371.31 + ], + "words": [ + { + "text": "0.02", + "bbox_points": [ + 251.72, + 363.29, + 266.96, + 371.31 + ] + }, + { + "text": "¼", + "bbox_points": [ + 407.68, + 363.01, + 413.84, + 371.01 + ] + }, + { + "text": "0.02a", + "bbox_points": [ + 443.39, + 361.82, + 461.71, + 371.31 + ] + } + ] + }, + { + "text": "Abaya_Chamo 18.49 – 15.04 þ 2.03 þ 0.62 þ 0.42 ¼ 5.20–4.81", + 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al. - 2024 - Mathematical modeling of osmotic membrane bioreactor process for oily wastewater treatment/figure_01.txt @@ -0,0 +1 @@ +Directions and values of water flux as a function of ΔP (Cath et al. 2006). diff --git a/Figures/Mohammed et al. - 2024 - Mathematical modeling of osmotic membrane bioreactor process for oily wastewater treatment/figure_02.jpg b/Figures/Mohammed et al. - 2024 - Mathematical modeling of osmotic membrane bioreactor process for oily wastewater treatment/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e50d44df312ec384a76e754db674b6e154582011 --- /dev/null +++ b/Figures/Mohammed et al. - 2024 - Mathematical modeling of osmotic membrane bioreactor process for oily wastewater treatment/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1428bdaa455f4162434e340e545d43b7b754993640e440d20d00c96e1bf92a97 +size 66869 diff --git a/Figures/Mohammed et al. - 2024 - Mathematical modeling of osmotic membrane bioreactor process for oily wastewater treatment/figure_02.txt b/Figures/Mohammed et al. - 2024 - Mathematical modeling of osmotic membrane bioreactor process for oily wastewater treatment/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..8b91c99f9bfebeb1d5903268235de7d73623ace2 --- /dev/null +++ b/Figures/Mohammed et al. - 2024 - Mathematical modeling of osmotic membrane bioreactor process for oily wastewater treatment/figure_02.txt @@ -0,0 +1 @@ +Specify ICP and ECP profiles for osmotic driving forces. (a) A plot depicting concentrative and dilutive external CP. (b) The plot shows a concentration of internal CP and a dilution of external CP (PRO mode). 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"Error 0.339 0.098 0.058 0.048 0.005 0.164", + "bbox_points": [ + 70.87, + 128.87, + 498.15, + 136.88 + ], + "words": [ + { + "text": "Error", + "bbox_points": [ + 70.87, + 128.87, + 90.22, + 136.88 + ] + }, + { + "text": "0.339", + "bbox_points": [ + 132.89, + 128.87, + 152.55, + 136.88 + ] + }, + { + "text": "0.098", + "bbox_points": [ + 184.31, + 128.87, + 203.97, + 136.88 + ] + }, + { + "text": "0.058", + "bbox_points": [ + 259.43, + 128.87, + 279.09, + 136.88 + ] + }, + { + "text": "0.048", + "bbox_points": [ + 336.47, + 128.87, + 356.14, + 136.88 + ] + }, + { + "text": "0.005", + "bbox_points": [ + 405.47, + 128.87, + 425.13, + 136.88 + ] + }, + { + "text": "0.164", + "bbox_points": [ + 478.49, + 128.87, + 498.15, + 136.88 + ] + } + ] + }, + { + "text": "Std. dev 1.073 0.311 0.182 0.530 0.016 0.518", + "bbox_points": [ + 70.87, + 142.87, + 498.15, + 150.89 + ], + "words": [ + { + "text": "Std.", + "bbox_points": [ + 70.87, + 142.87, + 84.76, + 150.89 + ] + }, + { + "text": "dev", 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164.83 + ] + }, + { + "text": "0.145", + "bbox_points": [ + 259.43, + 156.82, + 279.09, + 164.83 + ] + }, + { + "text": "1.690", + "bbox_points": [ + 336.47, + 156.82, + 356.14, + 164.83 + ] + }, + { + "text": "0.024", + "bbox_points": [ + 405.47, + 156.82, + 425.13, + 164.83 + ] + }, + { + "text": "5.337", + "bbox_points": [ + 478.49, + 156.82, + 498.15, + 164.83 + ] + } + ] + }, + { + "text": "Max 9.700 4.179 0.718 2.108 0.068 6.798", + "bbox_points": [ + 70.87, + 170.82, + 498.15, + 178.83 + ], + "words": [ + { + "text": "Max", + "bbox_points": [ + 70.87, + 170.82, + 86.93, + 178.83 + ] + }, + { + "text": "9.700", + "bbox_points": [ + 132.89, + 170.82, + 152.55, + 178.83 + ] + }, + { + "text": "4.179", + "bbox_points": [ + 184.31, + 170.82, + 203.97, + 178.83 + ] + }, + { + "text": "0.718", + "bbox_points": [ + 259.43, + 170.82, + 279.09, + 178.83 + ] + }, + { + "text": "2.108", + "bbox_points": [ + 336.47, + 170.82, + 356.14, + 178.83 + ] + }, + { + "text": "0.068", + 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2024 - Response surface modelling and optimization for copper removal from acid mine drainage using oxidize/table_09.txt b/Figures/Mohan et al. - 2024 - Response surface modelling and optimization for copper removal from acid mine drainage using oxidize/table_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..480c505a0dfac21f01a8dc3f59376ba9bff4ce8c --- /dev/null +++ b/Figures/Mohan et al. - 2024 - Response surface modelling and optimization for copper removal from acid mine drainage using oxidize/table_09.txt @@ -0,0 +1 @@ +Comparative analysis of Cu(II) adsorption capacity using OPNB with the literature diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_01.jpg b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9620ddb69f09e28b15e0511d16f1717ac3d1887a --- /dev/null +++ b/Figures/Moharrami et al. - 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2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_02.txt @@ -0,0 +1 @@ +SEM images of the hydrogel samples including SA–hydrogel, SA–GO–hydrogel, CH–hydrogel, and CH–GO–hydrogel (scale bars of images of a, b, d, and e were 10 μm, scale bars of images of c, f represented 1 μm, inside images of a, d had scale bars of 5 μm). diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_03.jpg b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6fbee0aa6f39a03fc2da9feae59bb330776eb584 --- /dev/null +++ b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:054f70c93f8f68d36eac4246b04d562b9e27c302d63b838fab8d25a444347137 +size 160697 diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_03.txt b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..36fe3926078fddd43ff0a583f7ce25b7f853bf68 --- /dev/null +++ b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_03.txt @@ -0,0 +1 @@ +Effects of different (a) pH values, and (b) salt solutions on the water absorbency of as-synthesized hydrogel samples; (c) digital photographs of hydrogel samples swelled in deionized water before drying process, (d) zeta potential analyses of hydrogels at different pH values. diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_04.jpg b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6389f38b32e0fb3c29b42e070f982c91f027e26c --- /dev/null +++ b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:30add77345ea69faff18424c846447bb016b84a85cc67547b91bdeae15e3afc6 +size 138075 diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_04.txt b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9427029e64e5932ace500bafb43bab93a65bea5 --- /dev/null +++ b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_04.txt @@ -0,0 +1 @@ +(a, b) Selective dye removal (%) for different amounts of each type of the hydrogels (initial concentration of both CV and CR dyes 50 mg/L). (c) photographs of dye solutions after treatment with hydrogel samples along with their controls before treatments, (d) effects of the amounts of the selected hydrogels utilized for specific dye removal (room temperature, initial concentration of dyes 150 mg/L, shaking time 60 min). diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_05.jpg b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0e7712bf3c3b8d056cbb3f424757725edf30c895 --- /dev/null +++ b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ebe5dbad17272dc41ed8366aaac344178c845b0af863128e24e5837ea8fde8e2 +size 90393 diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_05.txt b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d1e59e3bb0fb5a8e640e9068c2e9468fae44159 --- /dev/null +++ b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_05.txt @@ -0,0 +1 @@ +Effect of initial solution pH on (a) CV adsorption using SA–hydrogel and SA–GO–hydrogel samples (0.4 g/L), and (b) CR adsorption using CH–hydrogel and CH–GO–hydrogel samples (0.6 g/L), at room, dye initial concentration of 150 mg/L, shaking for 60 min. diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_06.jpg b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6d17ecdb9f5f871d7663cf103af1f1d36bb587ac --- /dev/null +++ b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a24afba09c623bca70d0a5de58c6418cdbb6f0cab9c1b605c32946e6473aaf62 +size 97854 diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_06.txt b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2b179e69ff8c90a665b5420bd668680575c6ea6 --- /dev/null +++ b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_06.txt @@ -0,0 +1 @@ +The nonlinear fitting of P-S-O kinetic model of dye sorption using hydrogel samples for (a) CV dye with initial concentrations of 150 and 250 mg/L, 0.4 g/L of SA–hydrogel and SA–GO–hydrogel, pH ¼ 8, at room temperature; (b) CR dye with initial concentrations of 100 and 200 mg/L, 0.4 g/L of CH–hydrogel and CH–GO–hydrogel, pH ¼ 5, at room temperature. diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_07.jpg b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3e1624ab11ce9bb64b609abcf42ca7b1576949e0 --- /dev/null +++ b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cdf3f47ccd24d73c214f3accbc328cbea10533acc44e5b016e44c90cd6757025 +size 120839 diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_07.txt b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..8552d4fd641b6dd85ec1b5c94d59a90537321e10 --- /dev/null +++ b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/figure_07.txt @@ -0,0 +1 @@ +(a) Dye removal (%) of hydrogel samples after several consecutive recovery cycles (b, c) UV–vis spectra of a real water effluent containing CV and CR dyes, before and after treatment with hydrogel samples, at their optimum sorption conditions. diff --git a/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/manifest.json b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ec39056fd437bab829a71a91d6e72e2eaf3df58d --- /dev/null +++ b/Figures/Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o/manifest.json @@ -0,0 +1,318 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Moharrami et al. - 2024 - Sodium alginate- and chitosan-based hydrogels with different network charges for selective removal o.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 11, + "items": [ + { + "kind": "figure", + "label": "figure_01", + "page": 3, + "caption": "Schematic representation of the synthesis of (a) SA-based and (b) CH-based hydrogels.", + "image": "figure_01.jpg", + "caption_file": "figure_01.txt", + "figure_bbox_points": [ + 107.33, + 77.28, + 522.85, + 688.19 + ], + "caption_bbox_points": [ + 64.01, + 689.67, + 419.64, + 697.9 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 180460, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_02", + "page": 6, + "caption": "SEM images of the hydrogel samples including SA–hydrogel, SA–GO–hydrogel, CH–hydrogel, and CH–GO–hydrogel (scale bars of images of a, b, d, and e were 10 μm, scale bars of images of c, f represented 1 μm, inside images of a, d had scale bars of 5 μm).", + "image": "figure_02.jpg", + "caption_file": "figure_02.txt", + "figure_bbox_points": [ + 79.21, + 77.28, + 509.74, + 628.66 + ], + "caption_bbox_points": [ + 43.43, + 630.14, + 545.48, + 648.35 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 198567, + "jpeg_quality": 50, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_03", + "page": 7, + "caption": "Effects of different (a) pH values, and (b) salt solutions on the water absorbency of as-synthesized hydrogel samples; 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sha256:e47c6f7b1165ed2a1d643f4174da79b986c7d335b1959efd972595196d4bf894 +size 33814 diff --git a/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_01.txt b/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfa43bb8210e5fe6b207502dc9ebdba02e280447 --- /dev/null +++ b/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_01.txt @@ -0,0 +1 @@ +A schematic overview of the primary sludge thickener unit at Henriksdal WRRF. diff --git a/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_02.jpg b/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8b40cc4c6f0bfeeae6fbde211cd6a2b9b193a555 --- 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dry solid content in thickened primary sludge/figure_03.jpg b/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8039b8d5310edf8e197e11343bb15729895604e0 --- /dev/null +++ b/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:132033279365d418c85f6f30e428548ccfed0e86df15474151d17fda107ea5a7 +size 34693 diff --git a/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_03.txt b/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..7cc8376de995858d1c7e77eb0f6e8fd07a75d14c --- /dev/null +++ b/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_03.txt @@ -0,0 +1 @@ +Distribution of DSout of the training dataset and the test dataset. diff --git a/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_04.jpg b/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..74ac6397b9979bd6b1e0ac79d9183392d8673de9 --- /dev/null +++ b/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0046a6f859f9a499db526b18b95ee7832ecc28bcad0b600e0c751a5d0331c9bb +size 50451 diff --git a/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_04.txt b/Figures/Molin et al. - 2024 - Soft sensor for the dry solid content in thickened primary sludge/figure_04.txt new file mode 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(b) Sampling design along the drinking water distribution system from raw water sources to tap water in schools. diff --git a/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_02.jpg b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b8b33abd2d037e49946a7652f7aeb58afef46e15 --- /dev/null +++ b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:816375c0459d4dd3799fff074ae978ca8a3c2fb2c7b327a72edb7612657e1321 +size 113429 diff --git a/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_02.txt b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6a15984291995963dfede034e4ae9ba2c87dab5 --- /dev/null +++ b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_02.txt @@ -0,0 +1 @@ +Structure and diversity of bacterial communities across water samples before and after treatment. (a) ACE, (b) Shannon, and (c) Simpson alpha diversity indexes by sample. All Wilcoxon nonparametric contrast tests between samples were significant, except for the contrast between RW and DW for the Shannon and Simpson indexes (p . 0.6). (d) Venn diagram of the assigned families between the Silva-S and MiDAS-M databases. (e) Relative abundance by sample of the 11 most abundant families, with the taxonomic classification based on the Silva database. diff --git a/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_03.jpg b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..df4c88bdea61ee5e6a35d49239e5459c1aed0d4c --- /dev/null +++ b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d8171c7a2caad0024c65e4e276aedcd425fa8a904186831acd7e597b025dc4cb +size 77289 diff --git a/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_03.txt b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb1c6a7c78993dc271d92217b9506d4047b47885 --- /dev/null +++ b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_03.txt @@ -0,0 +1 @@ +(a) CCA of the bacterial communities at the family level. Environmental variables are linearly fit to the community structure (abundance and richness). According to the ANOVA test, Mg2þ, Naþ, Kþ, and pH are statistically significant predictors (p , 0.05) of community structure. (b) A tree based on the neighbor joining algorithm for the Lachnospiraceae and Ruminococcaceae families, branch values are bootstrap support. The tree should not be used to interpret phylogenetic relationships (hence, the low branch bootstrap support), but to highlight the diversity of genera within these two health-relevant families in water treatment systems in Ecuador. diff --git a/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_04.jpg b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..24160b79962941bb048ba0e82dacbf86da61fb82 --- /dev/null +++ b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f4ebc4c96de976232e6e55514faf80d225ec64d9344f1edb618388a95426afd1 +size 182584 diff --git a/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_04.txt b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..4fd38f439aef2b975f6e2804af7dfbcdece04374 --- /dev/null +++ b/Figures/Molina et al. - 2024 - Bacterial community assessment of drinking water a/figure_04.txt @@ -0,0 +1 @@ +Abundance heatmap of the first 25 most abundant families. The OTU’s abundance was log-transformed and clustered according to their occurrence by the unweighted pair group method with arithmetic mean (UPGMA) hierarchical clustering. 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The OTU’s abundance was log-transformed and clustered according to their occurrence by the unweighted pair group method with arithmetic mean (UPGMA) hierarchical clustering. 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501.13 + ] + } + ] + }, + { + "text": "pH 7.3 + 0.81 6.9 + 0.44 6.5 + 0.18", + "bbox_points": [ + 70.86, + 506.84, + 485.34, + 515.14 + ], + "words": [ + { + "text": "pH", + "bbox_points": [ + 70.86, + 507.12, + 82.44, + 515.14 + ] + }, + { + "text": "7.3", + "bbox_points": [ + 186.12, + 507.12, + 196.95, + 515.14 + ] + }, + { + "text": "+", + "bbox_points": [ + 200.12, + 506.84, + 208.12, + 514.84 + ] + }, + { + "text": "0.81", + "bbox_points": [ + 209.65, + 507.12, + 224.9, + 515.14 + ] + }, + { + "text": "6.9", + "bbox_points": [ + 308.8, + 507.12, + 319.64, + 515.14 + ] + }, + { + "text": "+", + "bbox_points": [ + 322.75, + 506.84, + 330.75, + 514.84 + ] + }, + { + "text": "0.44", + "bbox_points": [ + 332.27, + 507.12, + 347.52, + 515.14 + ] + }, + { + "text": "6.5", + "bbox_points": [ + 446.62, + 507.12, + 457.46, + 515.14 + ] + }, + { + "text": "+", + "bbox_points": [ + 460.57, + 506.84, + 468.57, + 514.84 + ] + }, + { + "text": "0.18", + "bbox_points": [ + 470.09, + 507.12, + 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464.94, + 520.84, + 472.94, + 528.84 + ] + }, + { + "text": "1.3", + "bbox_points": [ + 474.52, + 521.12, + 485.35, + 529.14 + ] + } + ] + }, + { + "text": "EC (μS/cm) 677 + 442 741.7 + 185 1,045.3 + 105", + "bbox_points": [ + 70.87, + 534.85, + 498.54, + 543.14 + ], + "words": [ + { + "text": "EC", + "bbox_points": [ + 70.87, + 535.13, + 82.11, + 543.14 + ] + }, + { + "text": "(μS/cm)", + "bbox_points": [ + 84.47, + 534.85, + 113.34, + 543.14 + ] + }, + { + "text": "677", + "bbox_points": [ + 186.12, + 535.13, + 199.37, + 543.14 + ] + }, + { + "text": "+", + "bbox_points": [ + 202.51, + 534.85, + 210.51, + 542.85 + ] + }, + { + "text": "442", + "bbox_points": [ + 212.09, + 535.13, + 225.33, + 543.14 + ] + }, + { + "text": "741.7", + "bbox_points": [ + 308.8, + 535.13, + 328.47, + 543.14 + ] + }, + { + "text": "+", + "bbox_points": [ + 331.54, + 534.85, + 339.54, + 542.85 + ] + }, + { + "text": "185", + "bbox_points": [ + 341.12, + 535.13, + 354.37, + 543.14 + ] + }, + { + "text": "1,045.3", + "bbox_points": [ + 446.62, + 535.13, + 472.7, + 543.14 + ] + }, + { + "text": "+", + "bbox_points": [ + 475.76, + 534.85, + 483.76, + 542.85 + ] + }, + { + "text": "105", + "bbox_points": [ + 485.29, + 535.13, + 498.54, + 543.14 + ] + } + ] + }, + { + "text": "Turbidity (NTU) 27.3 + 2.8 26 + 2.5 32.5 + 2.5", + "bbox_points": [ + 70.86, + 548.85, + 485.35, + 557.15 + ], + "words": [ + { + "text": "Turbidity", + "bbox_points": [ + 70.86, + 549.13, + 103.64, + 557.15 + ] + }, + { + "text": "(NTU)", + "bbox_points": [ + 106.01, + 549.13, + 129.57, + 557.15 + ] + }, + { + "text": "27.3", + "bbox_points": [ + 186.12, + 549.13, + 201.37, + 557.15 + ] + }, + { + "text": "+", + "bbox_points": [ + 204.49, + 548.85, + 212.49, + 556.85 + ] + }, + { + "text": "2.8", + "bbox_points": [ + 214.07, + 549.13, + 224.9, + 557.15 + ] + }, + { + "text": "26", + "bbox_points": [ + 308.8, + 549.13, + 317.64, + 557.15 + ] + }, + { + "text": "+", + "bbox_points": [ + 320.77, + 548.85, + 328.77, + 556.85 + ] + }, + { + "text": "2.5", + "bbox_points": [ + 330.29, + 549.13, + 341.12, + 557.15 + ] + }, + { + "text": "32.5", + "bbox_points": [ + 446.62, + 549.13, + 461.87, + 557.15 + ] + }, + { + "text": "+", + "bbox_points": [ + 464.93, + 548.85, + 472.93, + 556.85 + ] + }, + { + "text": "2.5", + "bbox_points": [ + 474.52, + 549.13, + 485.35, + 557.15 + ] + } + ] + }, + { + "text": "TSS (mg/L) 135 + 5.2 140 + 5.1 145 + 5.9", + "bbox_points": [ + 70.86, + 562.85, + 483.36, + 571.15 + ], + "words": [ + { + "text": "TSS", + "bbox_points": [ + 70.86, + 563.13, + 85.35, + 571.15 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 87.7, + 563.13, + 113.09, + 571.15 + ] + }, + { + "text": "135", + "bbox_points": [ + 186.12, + 563.13, + 199.37, + 571.15 + ] + }, + { + "text": "+", + "bbox_points": [ + 202.5, + 562.85, + 210.5, + 570.85 + ] + }, + { + "text": "5.2", + "bbox_points": [ + 212.08, + 563.13, + 222.92, + 571.15 + ] + }, + { + "text": "140", + "bbox_points": [ + 308.8, + 563.13, + 322.05, + 571.15 + ] + }, + { + "text": "+", + "bbox_points": [ + 325.13, + 562.85, + 333.13, + 570.85 + ] + }, + { + "text": "5.1", + "bbox_points": [ + 334.71, + 563.13, + 345.54, + 571.15 + ] + }, + { + "text": "145", + "bbox_points": [ + 446.62, + 563.13, + 459.87, + 571.15 + ] + }, + { + "text": "+", + "bbox_points": [ + 462.95, + 562.85, + 470.95, + 570.85 + ] + }, + { + "text": "5.9", + "bbox_points": [ + 472.53, + 563.13, + 483.36, + 571.15 + ] + } + ] + }, + { + "text": "TDS (mg/L) 820.36 + 50.1 944.6 + 48.2 1,054.2 + 40.1", + "bbox_points": [ + 70.86, + 576.86, + 500.53, + 585.15 + ], + "words": [ + { + "text": "TDS", + "bbox_points": [ + 70.86, + 577.14, + 87.18, + 585.15 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 89.57, + 577.14, + 114.96, + 585.15 + ] + }, + { + "text": "820.36", + "bbox_points": [ + 186.12, + 577.14, + 210.2, + 585.15 + ] + }, + { + "text": "+", + "bbox_points": [ + 213.27, + 576.86, + 221.27, + 584.86 + ] + }, + { + "text": "50.1", + "bbox_points": [ + 222.85, + 577.14, + 238.1, + 585.15 + ] + }, + { + "text": "944.6", + "bbox_points": [ + 308.8, + 577.14, + 328.46, + 585.15 + ] + }, + { + "text": "+", + "bbox_points": [ + 331.53, + 576.86, + 339.53, + 584.86 + ] + }, + { + "text": "48.2", + "bbox_points": [ + 341.12, + 577.14, + 356.36, + 585.15 + ] + }, + { + "text": "1,054.2", + "bbox_points": [ + 446.62, + 577.14, + 472.7, + 585.15 + ] + }, + { + "text": "+", + "bbox_points": [ + 475.76, + 576.86, + 483.76, + 584.86 + ] + }, + { + "text": "40.1", + "bbox_points": [ + 485.29, + 577.14, + 500.53, + 585.15 + ] + } + ] + }, + { + "text": "BOD (mg/L) 53.28 + 15.9 60.38 + 10.3 63.5 + 10.3", + "bbox_points": [ + 70.86, + 590.86, + 489.76, + 599.16 + ], + "words": [ + { + "text": "BOD", + "bbox_points": [ + 70.86, + 591.14, + 89.76, + 599.16 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 92.12, + 591.14, + 117.51, + 599.16 + ] + }, + { + "text": "53.28", + "bbox_points": [ + 186.12, + 591.14, + 205.78, + 599.16 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Abdullah et al. (2019) Effects of Climate Change and Maternal Morality: Perspective from Case Studies in the Rural Area of", + "bbox_points": [ + 64.0, + 263.29, + 559.65, + 271.41 + ], + "words": [ + { + "text": "7.", + "bbox_points": [ + 64.0, + 263.4, + 70.42, + 271.41 + ] + }, + { + "text": "Abdullah", + "bbox_points": [ + 83.79, + 263.4, + 116.92, + 271.41 + ] + }, + { + "text": "et", + "bbox_points": [ + 119.28, + 263.29, + 125.6, + 271.29 + ] + }, + { + "text": "al.", + "bbox_points": [ + 127.95, + 263.29, + 136.86, + 271.29 + ] + }, + { + "text": "(2019)", + "bbox_points": [ + 139.23, + 263.4, + 162.39, + 271.41 + ] + }, + { + "text": "Effects", + "bbox_points": [ + 194.79, + 263.4, + 219.18, + 271.41 + ] + }, + { + "text": "of", + "bbox_points": [ + 221.55, + 263.4, + 228.62, + 271.41 + ] + }, + { + "text": "Climate", + "bbox_points": [ + 230.96, + 263.4, + 258.91, + 271.41 + ] + }, + { + "text": "Change", + "bbox_points": [ + 261.29, + 263.4, + 288.68, + 271.41 + ] + }, + { + "text": "and", + "bbox_points": [ + 291.0, + 263.4, + 304.48, + 271.41 + ] + }, + { + "text": "Maternal", + "bbox_points": [ + 306.87, + 263.4, + 339.58, + 271.41 + ] + }, + { + "text": "Morality:", + "bbox_points": [ + 341.91, + 263.4, + 374.94, + 271.41 + ] + }, + { + "text": "Perspective", + "bbox_points": [ + 377.29, + 263.4, + 418.02, + 271.41 + ] + }, + { + "text": "from", + "bbox_points": [ + 420.43, + 263.4, + 437.45, + 271.41 + ] + }, + { + "text": "Case", + "bbox_points": [ + 439.82, + 263.4, + 457.05, + 271.41 + ] + }, + { + "text": "Studies", + "bbox_points": [ + 459.43, + 263.4, + 485.56, + 271.41 + ] + }, + { + "text": "in", + "bbox_points": [ + 487.89, + 263.4, + 494.96, + 271.41 + ] + }, + { + "text": "the", + "bbox_points": [ + 497.36, + 263.4, + 508.68, + 271.41 + ] + }, + { + "text": "Rural", + "bbox_points": [ + 511.08, + 263.4, + 530.66, + 271.41 + ] + }, + { + "text": "Area", + "bbox_points": [ + 533.08, + 263.4, + 550.19, + 271.41 + ] + }, + { + "text": "of", + "bbox_points": [ + 552.58, + 263.4, + 559.65, + 271.41 + ] + } + ] + }, + { + "text": "Bangladesh. Int. J. Environ. Res. Public Health 16, 4594. https://doi.org/10.3390/ijerph16234594.", + "bbox_points": [ + 202.79, + 273.88, + 554.69, + 281.9 + ], + "words": [ + { + "text": "Bangladesh.", + "bbox_points": [ + 202.79, + 273.88, + 246.31, + 281.9 + ] + }, + { + "text": "Int.", + "bbox_points": [ + 248.71, + 273.88, + 261.19, + 281.9 + ] + }, + { + "text": "J.", + "bbox_points": [ + 263.56, + 273.88, + 268.3, + 281.9 + ] + }, + { + "text": "Environ.", + "bbox_points": [ + 270.7, + 273.88, + 301.7, + 281.9 + ] + }, + { + "text": "Res.", + "bbox_points": [ + 304.1, + 273.88, + 318.81, + 281.9 + ] + }, + { + "text": "Public", + "bbox_points": [ + 321.22, + 273.88, + 343.86, + 281.9 + ] + }, + { + "text": "Health", + "bbox_points": [ + 346.16, + 273.88, + 370.97, + 281.9 + ] + }, + { + "text": "16,", + "bbox_points": [ + 373.32, + 273.88, + 384.15, + 281.9 + ] + }, + { + "text": "4594.", + "bbox_points": [ + 386.53, + 273.88, + 406.19, + 281.9 + ] + }, + { + "text": "https://doi.org/10.3390/ijerph16234594.", + "bbox_points": [ + 408.52, + 273.88, + 554.69, + 281.9 + ] + } + ] + }, + { + "text": "8. Ashrafuzzamana & Furini Climate change and human health linkages in the context of globalization: an overview from global to", + "bbox_points": [ + 64.0, + 287.89, + 562.23, + 295.9 + ], + "words": [ + { + "text": "8.", + "bbox_points": [ + 64.0, + 287.89, + 70.42, + 295.9 + ] + }, + { + "text": "Ashrafuzzamana", + "bbox_points": [ + 83.79, + 287.89, + 144.02, + 295.9 + ] + }, + { + "text": "&", + "bbox_points": [ + 146.43, + 287.89, + 153.76, + 295.9 + ] + }, + { + "text": "Furini", + "bbox_points": [ + 156.13, + 287.89, + 177.86, + 295.9 + ] + }, + { + "text": "Climate", + "bbox_points": [ + 194.79, + 287.89, + 222.68, + 295.9 + ] + }, + { + "text": "change", + "bbox_points": [ + 225.12, + 287.89, + 250.66, + 295.9 + ] + }, + { + "text": "and", + "bbox_points": [ + 253.07, + 287.89, + 266.55, + 295.9 + ] + }, + { + "text": "human", + "bbox_points": [ + 268.95, + 287.89, + 294.17, + 295.9 + ] + }, + { + "text": "health", + "bbox_points": [ + 296.5, + 287.89, + 319.05, + 295.9 + ] + }, + { + "text": "linkages", + "bbox_points": [ + 321.44, + 287.89, + 350.91, + 295.9 + ] + }, + { + "text": "in", + "bbox_points": [ + 353.25, + 287.89, + 360.32, + 295.9 + ] + }, + { + "text": "the", + "bbox_points": [ + 362.66, + 287.89, + 373.98, + 295.9 + ] + }, + { + "text": "context", + "bbox_points": [ + 376.38, + 287.89, + 402.79, + 295.9 + ] + }, + { + "text": "of", + "bbox_points": [ + 405.18, + 287.89, + 412.25, + 295.9 + ] + }, + { + "text": "globalization:", + "bbox_points": [ + 414.65, + 287.89, + 463.29, + 295.9 + ] + }, + { + "text": "an", + "bbox_points": [ + 465.67, + 287.89, + 474.57, + 295.9 + ] + }, + { + "text": "overview", + "bbox_points": [ + 476.95, + 287.89, + 509.13, + 295.9 + ] + }, + { + "text": "from", + "bbox_points": [ + 511.48, + 287.89, + 528.55, + 295.9 + ] + }, + { + "text": "global", + "bbox_points": [ + 530.92, + 287.89, + 552.73, + 295.9 + ] + }, + { + "text": "to", + "bbox_points": [ + 555.07, + 287.89, + 562.23, + 295.9 + ] + } + ] + }, + { + "text": "(2019) southwestern coastal region of Bangladesh, Environ. Int. 127, 402–411, https://doi.org/.10.1016/j.", + "bbox_points": [ + 91.78, + 298.09, + 555.16, + 306.39 + ], + "words": [ + { + "text": "(2019)", + "bbox_points": [ + 91.78, + 298.37, + 114.93, + 306.39 + ] + }, + { + "text": "southwestern", + "bbox_points": [ + 202.78, + 298.37, + 250.32, + 306.39 + ] + }, + { + "text": "coastal", + "bbox_points": [ + 252.67, + 298.37, + 277.61, + 306.39 + ] + }, + { + "text": "region", + "bbox_points": [ + 280.0, + 298.37, + 302.65, + 306.39 + ] + }, + { + "text": "of", + "bbox_points": [ + 305.0, + 298.37, + 312.07, + 306.39 + ] + }, + { + "text": "Bangladesh,", + "bbox_points": [ + 314.47, + 298.37, + 358.01, + 306.39 + ] + }, + { + "text": "Environ.", + "bbox_points": [ + 360.39, + 298.37, + 391.44, + 306.39 + ] + }, + { + "text": "Int.", + "bbox_points": [ + 393.78, + 298.37, + 406.26, + 306.39 + ] + }, + { + "text": "127,", + "bbox_points": [ + 408.64, + 298.37, + 423.88, + 306.39 + ] + }, + { + "text": "402–411,", + "bbox_points": [ + 426.27, + 298.09, + 458.69, + 306.39 + ] + }, + { + "text": "https://doi.org/.10.1016/j.", + "bbox_points": [ + 461.02, + 298.37, + 555.16, + 306.39 + ] + } + ] + }, + { + "text": "envint.2019.03.020.", + "bbox_points": [ + 202.78, + 308.86, + 272.87, + 316.88 + ], + "words": [ + { + "text": "envint.2019.03.020.", + "bbox_points": [ + 202.78, + 308.86, + 272.87, + 316.88 + ] + } + ] + }, + { + "text": "9. Caminade et al. (2019) Impact of recent and future climate change on vector-borne diseases. Ann. N. Y. Acad. Sci. 1436, 157.", + "bbox_points": [ + 64.0, + 322.76, + 561.76, + 330.88 + ], + "words": [ + { + "text": "9.", + "bbox_points": [ + 64.0, + 322.86, + 70.42, + 330.88 + ] + }, + { + "text": "Caminade", + "bbox_points": [ + 83.79, + 322.86, + 120.5, + 330.88 + ] + }, + { + "text": "et", + "bbox_points": [ + 122.85, + 322.76, + 129.17, + 330.76 + ] + }, + { + "text": "al.", + "bbox_points": [ + 131.52, + 322.76, + 140.43, + 330.76 + ] + }, + { + "text": "(2019)", + "bbox_points": [ + 142.8, + 322.86, + 165.95, + 330.88 + ] + }, + { + "text": "Impact", + "bbox_points": [ + 194.79, + 322.86, + 220.07, + 330.88 + ] + }, + { + "text": "of", + "bbox_points": [ + 222.46, + 322.86, + 229.53, + 330.88 + ] + }, + { + "text": "recent", + "bbox_points": [ + 231.92, + 322.86, + 254.19, + 330.88 + ] + }, + { + "text": "and", + "bbox_points": [ + 256.59, + 322.86, + 270.07, + 330.88 + ] + }, + { + "text": "future", + "bbox_points": [ + 272.4, + 322.86, + 293.64, + 330.88 + ] + }, + { + "text": "climate", + "bbox_points": [ + 295.99, + 322.86, + 322.18, + 330.88 + ] + }, + { + "text": "change", + "bbox_points": [ + 324.56, + 322.86, + 350.21, + 330.88 + ] + }, + { + "text": "on", + "bbox_points": [ + 352.57, + 322.86, + 361.89, + 330.88 + ] + }, + { + "text": "vector-borne", + "bbox_points": [ + 364.25, + 322.86, + 409.47, + 330.88 + ] + }, + { + "text": "diseases.", + "bbox_points": [ + 411.87, + 322.86, + 442.82, + 330.88 + ] + }, + { + "text": "Ann.", + "bbox_points": [ + 445.26, + 322.86, + 462.75, + 330.88 + ] + }, + { + "text": "N.", + "bbox_points": [ + 465.1, + 322.86, + 473.85, + 330.88 + ] + }, + { + "text": "Y.", + "bbox_points": [ + 476.21, + 322.86, + 483.6, + 330.88 + ] + }, + { + "text": "Acad.", + "bbox_points": [ + 485.97, + 322.86, + 506.7, + 330.88 + ] + }, + { + "text": "Sci.", + "bbox_points": [ + 509.1, + 322.86, + 522.17, + 330.88 + ] + }, + { + "text": "1436,", + "bbox_points": [ + 524.52, + 322.86, + 544.18, + 330.88 + ] + }, + { + "text": "157.", + "bbox_points": [ + 546.51, + 322.86, + 561.76, + 330.88 + ] + } + ] + }, + { + "text": "10. Rahman et al. (2019) Health consequences of climate change in Bangladesh: An overview of the evidence, knowledge gaps", + "bbox_points": [ + 64.0, + 336.77, + 559.97, + 344.88 + ], + "words": [ + { + "text": "10.", + "bbox_points": [ + 64.0, + 336.87, + 74.83, + 344.88 + ] + }, + { + "text": "Rahman", + "bbox_points": [ + 83.79, + 336.87, + 114.17, + 344.88 + ] + }, + { + "text": "et", + "bbox_points": [ + 116.5, + 336.77, + 122.82, + 344.77 + ] + }, + { + "text": "al.", + "bbox_points": [ + 125.23, + 336.77, + 134.14, + 344.77 + ] + }, + { + "text": "(2019)", + "bbox_points": [ + 136.51, + 336.87, + 159.66, + 344.88 + ] + }, + { + "text": "Health", + "bbox_points": [ + 194.79, + 336.87, + 219.6, + 344.88 + ] + }, + { + "text": "consequences", + "bbox_points": [ + 221.95, + 336.87, + 271.55, + 344.88 + ] + }, + { + "text": "of", + "bbox_points": [ + 273.93, + 336.87, + 281.01, + 344.88 + ] + }, + { + "text": "climate", + "bbox_points": [ + 283.4, + 336.87, + 309.59, + 344.88 + ] + }, + { + "text": "change", + "bbox_points": [ + 311.97, + 336.87, + 337.62, + 344.88 + ] + }, + { + "text": "in", + "bbox_points": [ + 339.92, + 336.87, + 347.0, + 344.88 + ] + }, + { + "text": "Bangladesh:", + "bbox_points": [ + 349.39, + 336.87, + 393.26, + 344.88 + ] + }, + { + "text": "An", + "bbox_points": [ + 395.65, + 336.87, + 406.4, + 344.88 + ] + }, + { + "text": "overview", + "bbox_points": [ + 408.81, + 336.87, + 440.93, + 344.88 + ] + }, + { + "text": "of", + "bbox_points": [ + 443.33, + 336.87, + 450.4, + 344.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 452.8, + 336.87, + 464.12, + 344.88 + ] + }, + { + "text": "evidence,", + "bbox_points": [ + 466.46, + 336.87, + 500.27, + 344.88 + ] + }, + { + "text": "knowledge", + "bbox_points": [ + 502.63, + 336.87, + 541.53, + 344.88 + ] + }, + { + "text": "gaps", + "bbox_points": [ + 543.9, + 336.87, + 559.97, + 344.88 + ] + } + ] + }, + { + "text": "and challenges. WIREs Clim Change. e601. https://doi.org/10.1002/wcc.601.", + "bbox_points": [ + 202.78, + 347.36, + 481.33, + 355.37 + ], + "words": [ + { + "text": "and", + "bbox_points": [ + 202.78, + 347.36, + 216.26, + 355.37 + ] + }, + { + "text": "challenges.", + "bbox_points": [ + 218.66, + 347.36, + 258.2, + 355.37 + ] + }, + { + "text": "WIREs", + "bbox_points": [ + 260.55, + 347.36, + 286.44, + 355.37 + ] + }, + { + "text": "Clim", + "bbox_points": [ + 288.79, + 347.36, + 306.19, + 355.37 + ] + }, + { + "text": "Change.", + "bbox_points": [ + 308.57, + 347.36, + 337.97, + 355.37 + ] + }, + { + "text": "e601.", + "bbox_points": [ + 340.32, + 347.36, + 359.57, + 355.37 + ] + }, + { + "text": "https://doi.org/10.1002/wcc.601.", + "bbox_points": [ + 361.86, + 347.36, + 481.33, + 355.37 + ] + } + ] + }, + { + "text": "11. Alam et al. (2017) Vulnerability to climatic change in riparian char and river-bank households in Bangladesh:", + "bbox_points": [ + 64.0, + 361.26, + 522.22, + 369.37 + ], + "words": [ + { + "text": "11.", + "bbox_points": [ + 64.0, + 361.36, + 74.83, + 369.37 + ] + }, + { + "text": "Alam", + "bbox_points": [ + 83.79, + 361.36, + 103.27, + 369.37 + ] + }, + { + "text": "et", + "bbox_points": [ + 105.61, + 361.26, + 111.93, + 369.26 + ] + }, + { + "text": "al.", + "bbox_points": [ + 114.34, + 361.26, + 123.26, + 369.26 + ] + }, + { + "text": "(2017)", + "bbox_points": [ + 125.63, + 361.36, + 148.78, + 369.37 + ] + }, + { + "text": "Vulnerability", + "bbox_points": [ + 194.79, + 361.36, + 241.53, + 369.37 + ] + }, + { + "text": "to", + "bbox_points": [ + 243.89, + 361.36, + 251.04, + 369.37 + ] + }, + { + "text": "climatic", + "bbox_points": [ + 253.41, + 361.36, + 281.93, + 369.37 + ] + }, + { + "text": "change", + "bbox_points": [ + 284.31, + 361.36, + 309.96, + 369.37 + ] + }, + { + "text": "in", + "bbox_points": [ + 312.32, + 361.36, + 319.39, + 369.37 + ] + }, + { + "text": "riparian", + "bbox_points": [ + 321.73, + 361.36, + 350.34, + 369.37 + ] + }, + { + "text": "char", + "bbox_points": [ + 352.74, + 361.36, + 368.8, + 369.37 + ] + }, + { + "text": "and", + "bbox_points": [ + 370.99, + 361.36, + 384.47, + 369.37 + ] + }, + { + "text": "river-bank", + "bbox_points": [ + 386.87, + 361.36, + 423.47, + 369.37 + ] + }, + { + "text": "households", + "bbox_points": [ + 425.81, + 361.36, + 466.5, + 369.37 + ] + }, + { + "text": "in", + "bbox_points": [ + 468.9, + 361.36, + 475.97, + 369.37 + ] + }, + { + "text": "Bangladesh:", + "bbox_points": [ + 478.37, + 361.36, + 522.22, + 369.37 + ] + } + ] + }, + { + "text": "Implication for policy, livelihoods and social development. 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Kabir et al. (2016) Climate change and health in Bangladesh: a baseline cross-sectional survey, Glob. 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of RhB and its degraded products on C. sativus after photocatalytic degradation by AgNPs diff --git a/Figures/Morales-Herrera et al. - 2024 - Assessment and modeling of mercury adsorption on carbon-based adsorbents prepared from Jacaranda/figure_01.jpg b/Figures/Morales-Herrera et al. - 2024 - Assessment and modeling of mercury adsorption on carbon-based adsorbents prepared from Jacaranda/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d46fe5f639ca32dbe913aa63aabb657c2c5132b2 --- /dev/null +++ b/Figures/Morales-Herrera et al. - 2024 - Assessment and modeling of mercury adsorption on carbon-based adsorbents prepared from Jacaranda/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:38acf94dd4702ad0a93e95fbe1a1a91b205600411a1f3946d679a09a30b238c6 +size 112302 diff --git a/Figures/Morales-Herrera et al. - 2024 - Assessment and modeling of mercury adsorption on carbon-based adsorbents prepared from Jacaranda/figure_01.txt b/Figures/Morales-Herrera et al. - 2024 - Assessment and modeling of mercury adsorption on carbon-based adsorbents prepared from Jacaranda/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..0b7c25c494a4c2be6d73ea729544c918dc8d90c5 --- /dev/null +++ b/Figures/Morales-Herrera et al. - 2024 - Assessment and modeling of mercury adsorption on carbon-based adsorbents prepared from Jacaranda/figure_01.txt @@ -0,0 +1 @@ +Mercury adsorption isotherms at pH 4 using adsorbents obtained from the pyrolysis and hydrothermal carbonization of guava seed and jacaranda biomass. diff --git a/Figures/Morales-Herrera et al. - 2024 - Assessment and modeling of mercury adsorption on carbon-based adsorbents prepared from Jacaranda/figure_02.jpg b/Figures/Morales-Herrera et al. - 2024 - Assessment and modeling of mercury adsorption on carbon-based adsorbents prepared from Jacaranda/figure_02.jpg new file mode 100644 index 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(2022)", + "bbox_points": [ + 70.87, + 298.55, + 490.64, + 306.85 + ], + "words": [ + { + "text": "Candlenut", + "bbox_points": [ + 70.87, + 298.83, + 108.24, + 306.85 + ] + }, + { + "text": "shell", + "bbox_points": [ + 110.67, + 298.83, + 127.39, + 306.85 + ] + }, + { + "text": "charcoal", + "bbox_points": [ + 129.77, + 298.83, + 160.65, + 306.85 + ] + }, + { + "text": "–", + "bbox_points": [ + 238.96, + 298.55, + 242.96, + 306.55 + ] + }, + { + "text": "25", + "bbox_points": [ + 263.68, + 298.83, + 272.51, + 306.85 + ] + }, + { + "text": "76.35", + "bbox_points": [ + 319.01, + 298.83, + 338.68, + 306.85 + ] + }, + { + "text": "Mariana", + "bbox_points": [ + 414.71, + 298.83, + 445.16, + 306.85 + ] + }, + { + "text": "et", + "bbox_points": [ + 447.53, + 298.73, + 453.85, + 306.73 + ] + }, + { + "text": "al.", + "bbox_points": [ + 456.21, + 298.73, + 465.12, + 306.73 + ] + }, + { + "text": "(2022)", + "bbox_points": [ + 467.49, + 298.83, + 490.64, + 306.85 + ] + } + ] + }, + { + "text": "Candlenut shell particles 37.18", + "bbox_points": [ + 70.87, + 312.83, + 338.68, + 320.85 + ], + "words": [ + { + "text": "Candlenut", + "bbox_points": [ + 70.87, + 312.83, + 108.24, + 320.85 + ] + }, + { + "text": "shell", + "bbox_points": [ + 110.67, + 312.83, + 127.4, + 320.85 + ] + }, + { + "text": "particles", + "bbox_points": [ + 129.77, + 312.83, + 160.14, + 320.85 + ] + }, + { + "text": "37.18", + "bbox_points": [ + 319.01, + 312.83, + 338.68, + 320.85 + ] + } + ] + }, + { + "text": "Magnetic rice straw-derived biochar 5 25 ∼73.00 Lim et al. 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MP ¼ Mpumalanga, NC ¼ Northern Cape, NW ¼ North West, LP ¼ Limpopo, KZN ¼ Kwazulu-Natal, and BF ¼ Free State.", + "image": "figure_06.jpg", + "caption_file": "figure_06.txt", + "figure_bbox_points": [ + 107.84, + 77.28, + 481.14, + 574.4 + ], + "caption_bbox_points": [ + 43.43, + 575.89, + 543.77, + 604.13 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 109975, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_07", + "page": 15, + "caption": "PFBA/PFOA and PFNA/PFOA versus PFHpA/PFOA in WWTP influent samples from South Africa during (a) dry season and (b) wet season.", + "image": "figure_07.jpg", + "caption_file": "figure_07.txt", + "figure_bbox_points": [ + 98.43, + 77.28, + 531.6, + 467.48 + ], + "caption_bbox_points": [ + 64.01, + 468.96, + 565.99, + 487.17 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 91687, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of file diff --git a/Figures/Morrison et al. - 2024 - Women_s toilet use behaviors and water use in a urine diversion squat pan toilet pilot/figure_01.jpg b/Figures/Morrison et al. - 2024 - Women_s toilet use behaviors and water use in a urine diversion squat pan toilet pilot/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c56ce7b7f7d01e0d9202323b082828818bbc6e7c --- /dev/null +++ b/Figures/Morrison et al. - 2024 - Women_s toilet use behaviors and water use in a urine diversion squat pan toilet pilot/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eea7c36656d2d2d99c7601bec67e932a9335f88d709dbbd808d2f8b8a48f6604 +size 41156 diff --git a/Figures/Morrison et al. - 2024 - Women_s toilet use behaviors and water use in a urine diversion squat pan toilet pilot/figure_01.txt b/Figures/Morrison et al. - 2024 - Women_s toilet use behaviors and water use in a urine diversion squat pan toilet pilot/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..b870e9671de0b06404ed7844ebcef6ddfe2744c0 --- /dev/null +++ b/Figures/Morrison et al. - 2024 - Women_s toilet use behaviors and water use in a urine diversion squat pan toilet pilot/figure_01.txt @@ -0,0 +1 @@ +(a) Picture of a toilet stall with the Urine Trap squat pan; 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a/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_03.jpg b/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c157c383b8a56cf97217288ee530194caf14008f --- /dev/null +++ b/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:acd1749ea1c227112ba69e694b7bd8d550419f5b9ad48ec865d229151b188c97 +size 79380 diff --git a/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_03.txt b/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing 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SWAT model and MODIS-derived remote-sensing data in/figure_07.txt @@ -0,0 +1 @@ +Seasonal and annual ET (mm) from SWAT (PM, HR, and PT), MODIS (SSEBop and MOD16A2), and ET0 from BIS (PM and HR) over (a, b) South-Delta and (c, d) KomOmbo. diff --git a/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_08.jpg b/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..264dde5cbfe276fb7f3891a81518bb397608c0b2 --- /dev/null +++ b/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:22735ba179cf2663297d68460a4f2991291f9ed39f424f99bcf4a554bc09c200 +size 111359 diff --git a/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_08.txt b/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..a2b95a50bcd9a96c306b826dc556e05c10b6ba31 --- /dev/null +++ b/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_08.txt @@ -0,0 +1 @@ +Box-and-whisker plots for seasonal and annual ET in South-Delta (upper panels) and KomOmbo (lower panels) across the study period. diff --git a/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_09.jpg b/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_09.jpg 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in/figure_09.txt @@ -0,0 +1 @@ +Temporal correlation between ET and weather variables in South-Delta during 2013–2020. diff --git a/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_10.jpg b/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..921afc22898bb35bb6f3eab2a9faafb1c4bc1d4f --- /dev/null +++ b/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data in/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ededf03357ffeb6a539442841d1d38e3683ff7106b383ef483d5618b8e9c951f +size 183247 diff --git a/Figures/Morsy et al. - 2024 - Comparative study of evapotranspiration from the SWAT model and MODIS-derived remote-sensing data 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0000000000000000000000000000000000000000..2886052ffcc56dc9ea9ee7df76c564ab9c8df26f --- /dev/null +++ b/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_06.txt @@ -0,0 +1 @@ +Normalized value and corresponding weight of potentiality criteria diff --git a/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_07.jpg b/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6fcc7e37fbac67136232aea943cbe342d75b6328 --- /dev/null +++ b/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:21587eb7feec0aa74f0d2fe682e739f26c9853cdb3aab8e35d8ea8c3bb96b891 +size 11855 diff --git a/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_07.json b/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_07.json new file mode 100644 index 0000000000000000000000000000000000000000..f02acc07603ad9c870b0b7359ea046a71b37c177 --- /dev/null +++ b/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_07.json @@ -0,0 +1,359 @@ +{ + "kind": "table", + "label": "table_07", + "number": 7, + "caption": "Saaty random index (RI) value", + "page": 12, + "table_bbox_points": [ + 67.87, + 706.4, + 527.41, + 754.23 + ], + "caption_bbox_points": [ + 70.87, + 698.23, + 215.88, + 706.4 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 3, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "N 1 2 3 4 5 6 7 8 9 10", + "bbox_points": [ + 70.87, + 721.02, + 516.21, + 727.02 + ], + "words": [ + { + "text": "N", + "bbox_points": [ + 70.87, + 721.02, + 75.61, + 727.02 + ] + }, + { + "text": "1", + "bbox_points": [ + 111.46, + 721.02, + 114.96, + 727.02 + ] + }, + { + "text": "2", + "bbox_points": [ + 147.74, + 721.02, + 151.24, + 727.02 + ] + }, + { + "text": "3", + "bbox_points": [ + 184.02, + 721.02, + 187.52, + 727.02 + ] + }, + { + "text": "4", + "bbox_points": [ + 231.14, + 721.02, + 234.63, + 727.02 + ] + }, + { + "text": "5", + "bbox_points": [ + 273.77, + 721.02, + 277.27, + 727.02 + ] + }, + { + "text": "6", + "bbox_points": [ + 320.88, + 721.02, + 324.38, + 727.02 + ] + }, + { + "text": "7", + "bbox_points": [ + 367.94, + 721.02, + 371.43, + 727.02 + ] + }, + { + "text": "8", + "bbox_points": [ 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+ "text": "05", + "bbox_points": [ + 141.68, + 752.49, + 148.3, + 758.49 + ] + }, + { + "text": ",", + "bbox_points": [ + 151.99, + 752.45, + 156.99, + 758.45 + ] + }, + { + "text": "0", + "bbox_points": [ + 158.63, + 752.49, + 161.94, + 758.49 + ] + }, + { + "text": "1", + "bbox_points": [ + 163.56, + 752.49, + 166.87, + 758.49 + ] + }, + { + "text": "(acceptable)", + "bbox_points": [ + 168.89, + 752.49, + 201.6, + 758.49 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_07.txt b/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae13e9520d6d0239ecabc3f58e1e93f11c852299 --- /dev/null +++ b/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_07.txt @@ -0,0 +1 @@ +Saaty random index (RI) value diff --git a/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_08.jpg b/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b0aafd1a9f0edca0ec3663c601d9c3d27a4ea98d --- /dev/null +++ b/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a839ce542195a5743f84b2b1dc92864a848f282da03fac370dd21566fd1f0d60 +size 110207 diff --git a/Figures/Moshe and Beza - 2024 - Assessment of groundwater potential zones using GIS-based multicriteria decision analysis a case st/table_08.json 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316.41, + 375.68, + 324.42 + ] + }, + { + "text": "0.7", + "bbox_points": [ + 386.48, + 316.41, + 397.31, + 324.42 + ] + }, + { + "text": "–", + "bbox_points": [ + 422.53, + 316.13, + 426.53, + 324.13 + ] + }, + { + "text": "–", + "bbox_points": [ + 503.15, + 316.13, + 507.15, + 324.13 + ] + } + ] + }, + { + "text": "AMC/CLV", + "bbox_points": [ + 177.05, + 326.89, + 216.79, + 334.91 + ], + "words": [ + { + "text": "AMC/CLV", + "bbox_points": [ + 177.05, + 326.89, + 216.79, + 334.91 + ] + } + ] + }, + { + "text": "Ph-9 AMP, TE,AZM, CXM, CAZ, AMC/CLV 0.4 blaTEM, blaCTX-M-13 –", + "bbox_points": [ + 131.25, + 337.1, + 507.15, + 346.13 + ], + "words": [ + { + "text": "Ph-9", + "bbox_points": [ + 131.25, + 337.38, + 147.49, + 345.4 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 169.06, + 337.38, + 189.37, + 345.4 + ] + }, + { + "text": "TE,AZM,", + "bbox_points": [ + 191.79, + 337.38, + 225.78, + 345.4 + ] + }, + { + "text": "CXM,", + "bbox_points": [ + 228.08, + 337.38, + 249.56, + 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203.25, + 347.87, + 223.61, + 355.89 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 225.98, + 347.87, + 240.72, + 355.89 + ] + }, + { + "text": "AZM", + "bbox_points": [ + 243.1, + 347.87, + 262.59, + 355.89 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 386.48, + 347.87, + 397.31, + 355.89 + ] + }, + { + "text": "blaSHV", + "bbox_points": [ + 422.53, + 347.77, + 447.12, + 356.61 + ] + }, + { + "text": "–", + "bbox_points": [ + 503.15, + 347.59, + 507.15, + 355.59 + ] + } + ] + }, + { + "text": "Ph-11 AK, AMP, LEV, CFM, CXM, C, CRO, CAZ, CTX, AMC/ 0.6 blaTEM, blaCTX-M-13 Lt, ipaH", + "bbox_points": [ + 131.25, + 358.26, + 533.35, + 367.1 + ], + "words": [ + { + "text": "Ph-11", + "bbox_points": [ + 131.25, + 358.36, + 151.9, + 366.37 + ] + }, + { + "text": "AK,", + "bbox_points": [ + 169.06, + 358.36, + 183.06, + 366.37 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 185.39, + 358.36, + 205.76, + 366.37 + ] + }, + { + "text": "LEV,", + "bbox_points": [ + 208.12, + 358.36, + 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] + }, + { + "text": "ipaH", + "bbox_points": [ + 515.28, + 358.26, + 533.35, + 366.26 + ] + } + ] + }, + { + "text": "CLV", + "bbox_points": [ + 177.05, + 368.9, + 193.77, + 376.92 + ], + "words": [ + { + "text": "CLV", + "bbox_points": [ + 177.05, + 368.9, + 193.77, + 376.92 + ] + } + ] + }, + { + "text": "Ph-12 GN, AMP, TE, NA, CFM, CRO, CTX, AMC/CLV 0.5 – –", + "bbox_points": [ + 131.25, + 379.11, + 507.15, + 387.41 + ], + "words": [ + { + "text": "Ph-12", + "bbox_points": [ + 131.25, + 379.39, + 151.9, + 387.41 + ] + }, + { + "text": "GN,", + "bbox_points": [ + 169.06, + 379.39, + 184.55, + 387.41 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 186.86, + 379.39, + 207.23, + 387.41 + ] + }, + { + "text": "TE,", + "bbox_points": [ + 209.65, + 379.39, + 222.15, + 387.41 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 224.51, + 379.39, + 239.25, + 387.41 + ] + }, + { + "text": "CFM,", + "bbox_points": [ + 241.63, + 379.39, + 261.86, + 387.41 + ] + }, + { + "text": "CRO,", + 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"bbox_points": [ + 131.25, + 414.09, + 507.15, + 423.12 + ], + "words": [ + { + "text": "P-3", + "bbox_points": [ + 131.25, + 414.37, + 142.74, + 422.39 + ] + }, + { + "text": "GN,", + "bbox_points": [ + 169.06, + 414.37, + 184.55, + 422.39 + ] + }, + { + "text": "AK,", + "bbox_points": [ + 186.86, + 414.37, + 200.86, + 422.39 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 203.25, + 414.37, + 223.61, + 422.39 + ] + }, + { + "text": "LEV,", + "bbox_points": [ + 225.98, + 414.37, + 244.42, + 422.39 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 246.84, + 414.37, + 261.59, + 422.39 + ] + }, + { + "text": "AZM,", + "bbox_points": [ + 263.96, + 414.37, + 285.45, + 422.39 + ] + }, + { + "text": "CFM,", + "bbox_points": [ + 287.78, + 414.37, + 308.01, + 422.39 + ] + }, + { + "text": "CIP,", + "bbox_points": [ + 310.34, + 414.37, + 325.89, + 422.39 + ] + }, + { + "text": "C,", + "bbox_points": [ + 328.31, + 414.37, + 336.05, + 422.39 + ] + }, + { + "text": "CTX", + "bbox_points": [ + 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"words": [ + { + "text": "Tx-5", + "bbox_points": [ + 151.77, + 165.89, + 167.42, + 173.9 + ] + }, + { + "text": "AK,", + "bbox_points": [ + 189.58, + 165.89, + 203.58, + 173.9 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 205.97, + 165.89, + 226.28, + 173.9 + ] + }, + { + "text": "TE,", + "bbox_points": [ + 228.7, + 165.89, + 241.2, + 173.9 + ] + }, + { + "text": "LEV,", + "bbox_points": [ + 243.55, + 165.89, + 262.0, + 173.9 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 264.42, + 165.89, + 279.16, + 173.9 + ] + }, + { + "text": "CFM,", + "bbox_points": [ + 281.48, + 165.89, + 301.71, + 173.9 + ] + }, + { + "text": "CXM,", + "bbox_points": [ + 304.1, + 165.89, + 325.59, + 173.9 + ] + }, + { + "text": "CIP,", + "bbox_points": [ + 327.91, + 165.89, + 343.46, + 173.9 + ] + }, + { + "text": "CRO,", + "bbox_points": [ + 345.83, + 165.89, + 365.74, + 173.9 + ] + }, + { + "text": "CAZ,", + "bbox_points": [ + 368.11, + 165.89, + 387.41, + 173.9 + ] + }, + { + "text": "0.7", + "bbox_points": [ + 407.0, + 165.89, + 417.83, + 173.9 + ] + }, + { + "text": "blaTEM,", + "bbox_points": [ + 443.06, + 165.79, + 470.06, + 174.57 + ] + }, + { + "text": "blaCTX-M-13,", + "bbox_points": [ + 472.42, + 165.79, + 513.82, + 174.57 + ] + } + ] + }, + { + "text": "CTX blaSHV", + "bbox_points": [ + 197.58, + 176.27, + 475.7, + 185.12 + ], + "words": [ + { + "text": "CTX", + "bbox_points": [ + 197.58, + 176.37, + 214.32, + 184.39 + ] + }, + { + "text": "blaSHV", + "bbox_points": [ + 451.05, + 176.27, + 475.7, + 185.12 + ] + } + ] + }, + { + "text": "Tx-6 GN, AMP, LEV, NA, AZM, CFM, CXM, CIP, CRO, CAZ, 0.8 – –", + "bbox_points": [ + 151.77, + 186.58, + 527.73, + 194.88 + ], + "words": [ + { + "text": "Tx-6", + "bbox_points": [ + 151.77, + 186.86, + 167.42, + 194.88 + ] + }, + { + "text": "GN,", + "bbox_points": [ + 189.58, + 186.86, + 205.07, + 194.88 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 207.44, + 186.86, + 227.81, + 194.88 + ] + }, + { + "text": "LEV,", + "bbox_points": [ + 230.17, + 186.86, + 248.61, + 194.88 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 251.04, + 186.86, + 265.78, + 194.88 + ] + }, + { + "text": "AZM,", + "bbox_points": [ + 268.1, + 186.86, + 289.59, + 194.88 + ] + }, + { + "text": "CFM,", + "bbox_points": [ + 291.97, + 186.86, + 312.2, + 194.88 + ] + }, + { + "text": "CXM,", + "bbox_points": [ + 314.53, + 186.86, + 336.02, + 194.88 + ] + }, + { + "text": "CIP,", + "bbox_points": [ + 338.4, + 186.86, + 353.89, + 194.88 + ] + }, + { + "text": "CRO,", + "bbox_points": [ + 356.31, + 186.86, + 376.17, + 194.88 + ] + }, + { + "text": "CAZ,", + "bbox_points": [ + 378.54, + 186.86, + 397.89, + 194.88 + ] + }, + { + "text": "0.8", + "bbox_points": [ + 407.0, + 186.86, + 417.83, + 194.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 443.05, + 186.58, + 447.05, + 194.58 + ] + }, + { + "text": "–", + "bbox_points": [ + 523.73, + 186.58, + 527.73, + 194.58 + ] + } + ] + }, + { + "text": "CTX, AMC/CLV", + "bbox_points": [ + 197.57, + 197.41, + 258.4, + 205.42 + ], + "words": [ + { + "text": "CTX,", + "bbox_points": [ + 197.57, + 197.41, + 216.32, + 205.42 + ] + }, + { + "text": "AMC/CLV", + "bbox_points": [ + 218.66, + 197.41, + 258.4, + 205.42 + ] + } + ] + }, + { + "text": "Tx-7 GN, AK, AMP, TE, NA, AZM, C 0.4 – –", + "bbox_points": [ + 151.77, + 207.62, + 527.73, + 215.91 + ], + "words": [ + { + "text": "Tx-7", + "bbox_points": [ + 151.77, + 207.9, + 167.42, + 215.91 + ] + }, + { + "text": "GN,", + "bbox_points": [ + 189.58, + 207.9, + 205.07, + 215.91 + ] + }, + { + "text": "AK,", + "bbox_points": [ + 207.44, + 207.9, + 221.44, + 215.91 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 223.77, + 207.9, + 244.14, + 215.91 + ] + }, + { + "text": "TE,", + "bbox_points": [ + 246.56, + 207.9, + 259.05, + 215.91 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 261.41, + 207.9, + 276.15, + 215.91 + ] + }, + { + "text": "AZM,", + "bbox_points": [ + 278.48, + 207.9, + 299.96, + 215.91 + ] + }, + { + "text": "C", + "bbox_points": [ + 302.34, + 207.9, + 308.09, + 215.91 + ] + }, + { + "text": "0.4", + "bbox_points": [ + 407.0, + 207.9, + 417.83, + 215.91 + ] + }, + { + "text": "–", + "bbox_points": [ + 443.05, + 207.62, + 447.05, + 215.62 + ] + }, + { + "text": "–", + "bbox_points": [ + 523.73, + 207.62, + 527.73, + 215.62 + ] + } + ] + }, + { + "text": "Tx-8 GN, AK, AMP, LEV, NA, CFM, CXM, CIP, CAZ, CTX, 0.7 blaTEM, blaCTX-M-13, eagg", + "bbox_points": [ + 151.77, + 218.28, + 539.38, + 227.07 + ], + "words": [ + { + "text": "Tx-8", + "bbox_points": [ + 151.77, + 218.38, + 167.42, + 226.4 + ] + }, + { + "text": "GN,", + "bbox_points": [ + 189.58, + 218.38, + 205.07, + 226.4 + ] + }, + { + "text": "AK,", + "bbox_points": [ + 207.44, + 218.38, + 221.44, + 226.4 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 223.77, + 218.38, + 244.14, + 226.4 + ] + }, + { + "text": "LEV,", + "bbox_points": [ + 246.56, + 218.38, + 265.0, + 226.4 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 267.36, + 218.38, + 282.11, + 226.4 + ] + }, + { + "text": "CFM,", + "bbox_points": [ + 284.49, + 218.38, + 304.72, + 226.4 + ] + }, + { + "text": "CXM,", + "bbox_points": [ + 307.05, + 218.38, + 328.54, + 226.4 + ] + }, + { + "text": "CIP,", + "bbox_points": [ + 330.92, + 218.38, + 346.47, + 226.4 + ] + }, + { + "text": "CAZ,", + "bbox_points": [ + 348.83, + 218.38, + 368.13, + 226.4 + ] + }, + { + "text": "CTX,", + "bbox_points": [ + 370.49, + 218.38, + 389.23, + 226.4 + ] + }, + { + "text": "0.7", + "bbox_points": [ + 407.0, + 218.38, + 417.83, + 226.4 + ] + }, + { + "text": "blaTEM,", + "bbox_points": [ + 443.05, + 218.28, + 470.06, + 227.07 + ] + }, + { + "text": "blaCTX-M-13,", + "bbox_points": [ + 472.42, + 218.28, + 513.82, + 227.07 + ] + }, + { + "text": "eagg", + "bbox_points": [ + 523.73, + 218.28, + 539.38, + 226.28 + ] + } + ] + }, + { + "text": "AMC/CLV blaSHV", + "bbox_points": [ + 197.57, + 228.77, + 475.7, + 237.62 + ], + "words": [ + { + "text": "AMC/CLV", + "bbox_points": [ + 197.57, + 228.87, + 237.31, + 236.89 + ] + }, + { + "text": "blaSHV", + "bbox_points": [ + 451.05, + 228.77, + 475.7, + 237.62 + ] + } + ] + }, + { + "text": "Tx-9 GN, AK, AMP, TE, NA, AZM, CIP, C, CRO, CTX 0.6 blaTEM, blaCTX-M-13 eagg", + "bbox_points": [ + 151.77, + 239.26, + 539.38, + 248.1 + ], + "words": [ + { + "text": "Tx-9", + "bbox_points": [ + 151.77, + 239.36, + 167.42, + 247.38 + ] + }, + { + "text": "GN,", + "bbox_points": [ + 189.58, + 239.36, + 205.07, + 247.38 + ] + }, + { + "text": "AK,", + "bbox_points": [ + 207.44, + 239.36, + 221.44, + 247.38 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 223.77, + 239.36, + 244.14, + 247.38 + ] + }, + { + "text": "TE,", + "bbox_points": [ + 246.56, + 239.36, + 259.06, + 247.38 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 261.41, + 239.36, + 276.16, + 247.38 + ] + }, + { + "text": "AZM,", + "bbox_points": [ + 278.48, + 239.36, + 299.97, + 247.38 + ] + }, + { + "text": "CIP,", + "bbox_points": [ + 302.35, + 239.36, + 317.89, + 247.38 + ] + }, + { + "text": "C,", + "bbox_points": [ + 320.26, + 239.36, + 328.0, + 247.38 + ] + }, + { + "text": "CRO,", + "bbox_points": [ + 330.41, + 239.36, + 350.26, + 247.38 + ] + }, + { + "text": "CTX", + "bbox_points": [ + 352.63, + 239.36, + 369.38, + 247.38 + ] + }, + { + "text": "0.6", + "bbox_points": [ + 407.0, + 239.36, + 417.83, + 247.38 + ] + }, + { + "text": "blaTEM,", + "bbox_points": [ + 443.06, + 239.26, + 470.06, + 248.1 + ] + }, + { + "text": "blaCTX-M-13", + "bbox_points": [ + 472.42, + 239.26, + 511.87, + 248.1 + ] + }, + { + "text": "eagg", + "bbox_points": [ + 523.73, + 239.26, + 539.38, + 247.26 + ] + } + ] + }, + { + "text": "Tx-10 GN, AMP, LEV, NA, CFM, CXM, CIP, CRO, CAZ, CTX, 0.7 blaTEM, blaCTX-M-13 –", + "bbox_points": [ + 151.77, + 249.63, + 527.73, + 258.59 + ], + "words": [ + { + "text": "Tx-10", + "bbox_points": [ + 151.77, + 249.91, + 171.84, + 257.92 + ] + }, + { + "text": "GN,", + "bbox_points": [ + 189.58, + 249.91, + 205.07, + 257.92 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 207.44, + 249.91, + 227.81, + 257.92 + ] + }, + { + "text": "LEV,", + "bbox_points": [ + 230.18, + 249.91, + 248.62, + 257.92 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 251.04, + 249.91, + 265.78, + 257.92 + ] + }, + { + "text": "CFM,", + "bbox_points": [ + 268.1, + 249.91, + 288.33, + 257.92 + ] + }, + { + "text": "CXM,", + "bbox_points": [ + 290.72, + 249.91, + 312.21, + 257.92 + ] + }, + { + "text": "CIP,", + "bbox_points": [ + 314.53, + 249.91, + 330.08, + 257.92 + ] + }, + { + "text": "CRO,", + "bbox_points": [ + 332.51, + 249.91, + 352.36, + 257.92 + ] + }, + { + "text": "CAZ,", + "bbox_points": [ + 354.73, + 249.91, + 374.03, + 257.92 + ] + }, + { + "text": "CTX,", + "bbox_points": [ + 376.39, + 249.91, + 395.13, + 257.92 + ] + }, + { + "text": "0.7", + "bbox_points": [ + 407.0, + 249.91, + 417.83, + 257.92 + ] + }, + { + "text": "blaTEM,", + "bbox_points": [ + 443.06, + 249.8, + 470.06, + 258.59 + ] + }, + { + "text": "blaCTX-M-13", + "bbox_points": [ + 472.42, + 249.8, + 511.87, + 258.59 + ] + }, + { + "text": "–", + "bbox_points": [ + 523.73, + 249.63, + 527.73, + 257.63 + ] + } + ] + }, + { + "text": "AMC/CLV", + "bbox_points": [ + 197.58, + 260.39, + 237.31, + 268.41 + ], + "words": [ + { + "text": "AMC/CLV", + "bbox_points": [ + 197.58, + 260.39, + 237.31, + 268.41 + ] + } + ] + }, + { + "text": "Tx-11 GN, AMP, LEV, NA, AZM, CTX, AMC/CLV 0.4 – eae", + "bbox_points": [ + 151.77, + 270.6, + 535.63, + 278.9 + ], + "words": [ + { + "text": "Tx-11", + "bbox_points": [ + 151.77, + 270.88, + 171.84, + 278.9 + ] + }, + { + "text": "GN,", + "bbox_points": [ + 189.58, + 270.88, + 205.07, + 278.9 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 207.44, + 270.88, + 227.81, + 278.9 + ] + }, + { + "text": "LEV,", + "bbox_points": [ + 230.18, + 270.88, + 248.62, + 278.9 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 251.04, + 270.88, + 265.78, + 278.9 + ] + }, + { + "text": "AZM,", + "bbox_points": [ + 268.1, + 270.88, + 289.59, + 278.9 + ] + }, + { + "text": "CTX,", + "bbox_points": [ + 291.97, + 270.88, + 310.71, + 278.9 + ] + }, + { + "text": "AMC/CLV", + "bbox_points": [ + 313.06, + 270.88, + 352.79, + 278.9 + ] + }, + { + "text": "0.4", + "bbox_points": [ + 407.0, + 270.88, + 417.83, + 278.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 443.06, + 270.6, + 447.06, + 278.6 + ] + }, + { + "text": "eae", + "bbox_points": [ + 523.73, + 270.78, + 535.63, + 278.78 + ] + } + ] + }, + { + "text": "Tx-12 GN, AK, AMP, TE, LEV, NA, AZM, CFM, CXM, CIP, 0.8 blaTEM, blaCTX-M-13 eagg", + "bbox_points": [ + 151.77, + 281.27, + 539.38, + 290.11 + ], + "words": [ + { + "text": "Tx-12", + "bbox_points": [ + 151.77, + 281.37, + 171.84, + 289.39 + ] + }, + { + "text": "GN,", + "bbox_points": [ + 189.58, + 281.37, + 205.07, + 289.39 + ] + }, + { + "text": "AK,", + "bbox_points": [ + 207.44, + 281.37, + 221.44, + 289.39 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 223.77, + 281.37, + 244.14, + 289.39 + ] + }, + { + "text": "TE,", + "bbox_points": [ + 246.56, + 281.37, + 259.06, + 289.39 + ] + }, + { + "text": "LEV,", + "bbox_points": [ + 261.41, + 281.37, + 279.85, + 289.39 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 282.22, + 281.37, + 296.96, + 289.39 + ] + }, + { + "text": "AZM,", + "bbox_points": [ + 299.34, + 281.37, + 320.83, + 289.39 + ] + }, + { + "text": "CFM,", + "bbox_points": [ + 323.15, + 281.37, + 343.38, + 289.39 + ] + }, + { + "text": "CXM,", + "bbox_points": [ + 345.77, + 281.37, + 367.26, + 289.39 + ] + }, + { + "text": "CIP,", + "bbox_points": [ + 369.58, + 281.37, + 385.13, + 289.39 + ] + }, + { + "text": "0.8", + "bbox_points": [ + 407.0, + 281.37, + 417.83, + 289.39 + ] + }, + { + "text": "blaTEM,", + "bbox_points": [ + 443.06, + 281.27, + 470.06, + 290.11 + ] + }, + { + "text": "blaCTX-M-13", + "bbox_points": [ + 472.42, + 281.27, + 511.87, + 290.11 + ] + }, + { + "text": "eagg", + "bbox_points": [ + 523.73, + 281.27, + 539.38, + 289.27 + ] + } + ] + }, + { + "text": "CRO, CAZ, CTX, AMC/CLV", + "bbox_points": [ + 197.58, + 291.86, + 302.34, + 299.87 + ], + "words": [ + { + "text": "CRO,", + "bbox_points": [ + 197.58, + 291.86, + 217.43, + 299.87 + ] + }, + { + "text": "CAZ,", + "bbox_points": [ + 219.86, + 291.86, + 239.16, + 299.87 + ] + }, + { + "text": "CTX,", + "bbox_points": [ + 241.51, + 291.86, + 260.26, + 299.87 + ] + }, + { + "text": "AMC/CLV", + "bbox_points": [ + 262.6, + 291.86, + 302.34, + 299.87 + ] + } + ] + }, + { + "text": "Agricultural fields F-1 AMP, TE, LEV, NA, AZM, CFM, CXM, CIP,CRO, CAZ, 0.8 blaTEM, blaCTX-M-13 –", + "bbox_points": [ + 64.01, + 305.58, + 527.73, + 314.61 + ], + "words": [ + { + "text": "Agricultural", + "bbox_points": [ + 64.01, + 305.86, + 106.95, + 313.88 + ] + }, + { + "text": "fields", + "bbox_points": [ + 109.36, + 305.58, + 128.3, + 313.88 + ] + }, + { + "text": "F-1", + "bbox_points": [ + 151.77, + 305.86, + 163.01, + 313.88 + ] + 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"blaCTX-M-13", + "bbox_points": [ + 472.42, + 305.76, + 511.87, + 314.61 + ] + }, + { + "text": "–", + "bbox_points": [ + 523.73, + 305.58, + 527.73, + 313.58 + ] + } + ] + }, + { + "text": "CTX, AMC/CLV", + "bbox_points": [ + 197.58, + 316.41, + 258.4, + 324.42 + ], + "words": [ + { + "text": "CTX,", + "bbox_points": [ + 197.58, + 316.41, + 216.32, + 324.42 + ] + }, + { + "text": "AMC/CLV", + "bbox_points": [ + 218.67, + 316.41, + 258.4, + 324.42 + ] + } + ] + }, + { + "text": "F-2 AMP, LEV, NA, AZM, CFM, CXM, CRO, CAZ, CTX 0.6 blaTEM, blaCTX-M-13 –", + "bbox_points": [ + 151.77, + 326.61, + 527.73, + 335.58 + ], + "words": [ + { + "text": "F-2", + "bbox_points": [ + 151.77, + 326.89, + 163.01, + 334.91 + ] + }, + { + "text": "AMP,", + "bbox_points": [ + 189.58, + 326.89, + 209.95, + 334.91 + ] + }, + { + "text": "LEV,", + "bbox_points": [ + 212.32, + 326.89, + 230.76, + 334.91 + ] + }, + { + "text": "NA,", + "bbox_points": [ + 233.18, + 326.89, + 247.92, + 334.91 + ] + }, + { + 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Experimental conditions: temperature ¼ 25 °C, contact time ¼ 30 min, adsorbent dose ¼ 0.1 g, pH ¼ 7. diff --git a/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_08.jpg b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9f8da762afe26479a07e40e572194669f59c264e --- /dev/null +++ b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bf798ddc3c29424e0800ce0a19cb5dfa1e6391340cb9ef1434ce1654914dfe35 +size 68401 diff --git a/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_08.txt b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..14060e042c858e6da87284bdc2a2f91f9c0e6896 --- /dev/null +++ b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_08.txt @@ -0,0 +1 @@ +Freundlich isotherms for adsorption of pendimethalin on U-CXSP, AC-CXSP and NM-CXSP. Experimental conditions: tempera- ture ¼ 25 °C, contact time ¼ 30 min, adsorbent dose ¼ 0.1 g, pH ¼ 7. diff --git a/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_09.jpg b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6181211184740687ee329d79f68c3081192f4ac0 --- /dev/null +++ b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f6df6da1363554908d705b1188a5d2f57befb0d9da3ca1e7cb49f5d991197199 +size 74381 diff --git a/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_09.txt b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..1cd388dca347ddadafd2733e42bcf7090e158c20 --- /dev/null +++ b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_09.txt @@ -0,0 +1 @@ +Pseudo-first-order plots for adsorption of pendimethalin on U-CXSP, AC-CXSP and NM-CXSP. Experimental conditions: temp- erature ¼ 25 °C, contact time ¼ 30 min, adsorbent dose ¼ 0.1 g, pH ¼ 7. diff --git a/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_10.jpg b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..81efe5b32c4ce8e162063b0a517ca38a2fe794f1 --- /dev/null +++ b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6c6328f9a7a2beb464b814e90c1755f97c9cc4684ece8ec7aac95e81b2d277a4 +size 67858 diff --git a/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_10.txt b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..780f5b7df27519d56eb9a8e7c2c65ba88169350a --- /dev/null +++ b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_10.txt @@ -0,0 +1 @@ +Pseudo-second-order isotherms for pendimethalin adsorption on (a) U-CXSP, (b) AC-CXSP and (c) NM-CXSP. Experimental conditions: temperature ¼ 25 °C, contact time ¼ 30 min, adsorbent dose ¼ 0.1, pH ¼ 7. diff --git a/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_11.jpg b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_11.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e3b9ec64ba5efc009b7f8c38e6ba8cb8d27c07ab --- /dev/null +++ b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_11.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be850d790219c546b38c98ac846da68ec359989f451b76bce103cacc89c3bb12 +size 76725 diff --git a/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_11.txt b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_11.txt new file mode 100644 index 0000000000000000000000000000000000000000..22f788a63a14ca0090136b3ba75d5c2e58dee661 --- /dev/null +++ b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_11.txt @@ -0,0 +1 @@ +Intraparticle diffusion plots for pendimethalin adsorption on U-CXSP, AC-CXSP and NM-CXSP. Experimental conditions: temp- erature ¼ 25 °C, contact time ¼ 30 min, adsorbent dose ¼ 0.1 g, pH ¼ 7. diff --git a/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_12.jpg b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_12.jpg new file mode 100644 index 0000000000000000000000000000000000000000..76617102ef09e8929c215a5cf88cc3b64b1caab9 --- /dev/null +++ b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_12.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e7387afa2925e80b0891869cc354c9797a54d23278b5e3bb0b8c09689761f120 +size 80867 diff --git a/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_12.txt b/Figures/Mubarak et al. - 2024 - Role of nano-magnetized Citrus X sinensis (/figure_12.txt new file mode 100644 index 0000000000000000000000000000000000000000..8897e5b067dad41bd7dbbe3e40e07fd15605e98e --- /dev/null +++ b/Figures/Mubarak et al. - 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200.18, + 196.9, + 219.84, + 204.91 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 265.32, + 196.9, + 284.98, + 204.91 + ] + }, + { + "text": "0.183", + "bbox_points": [ + 339.36, + 196.9, + 359.02, + 204.91 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 404.44, + 196.9, + 424.11, + 204.91 + ] + }, + { + "text": "0.211", + "bbox_points": [ + 478.48, + 196.9, + 498.15, + 204.91 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 543.62, + 196.9, + 563.29, + 204.91 + ] + } + ] + }, + { + "text": "Kachha 0.090 0.107 0.115 0.025 0.211 0.000", + "bbox_points": [ + 64.0, + 210.9, + 563.29, + 218.92 + ], + "words": [ + { + "text": "Kachha", + "bbox_points": [ + 64.0, + 210.9, + 91.63, + 218.92 + ] + }, + { + "text": "0.090", + "bbox_points": [ + 200.18, + 210.9, + 219.84, + 218.92 + ] + }, + { + "text": "0.107", + "bbox_points": [ + 265.32, + 210.9, + 284.98, + 218.92 + ] + }, + { + "text": "0.115", + "bbox_points": [ + 339.36, + 210.9, + 359.02, + 218.92 + ] + }, + { + "text": "0.025", + "bbox_points": [ + 404.44, + 210.9, + 424.11, + 218.92 + ] + }, + { + "text": "0.211", + "bbox_points": [ + 478.48, + 210.9, + 498.15, + 218.92 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 543.62, + 210.9, + 563.29, + 218.92 + ] + } + ] + }, + { + "text": "Nuclear family 0.007 0.872 0.042 0.300 0.045 0.277", + "bbox_points": [ + 64.0, + 224.9, + 563.29, + 232.92 + ], + "words": [ + { + "text": "Nuclear", + "bbox_points": [ + 64.0, + 224.9, + 92.97, + 232.92 + ] + }, + { + "text": "family", + "bbox_points": [ + 95.3, + 224.9, + 117.61, + 232.92 + ] + }, + { + "text": "0.007", + "bbox_points": [ + 200.18, + 224.9, + 219.84, + 232.92 + ] + }, + { + "text": "0.872", + "bbox_points": [ + 265.32, + 224.9, + 284.98, + 232.92 + ] + }, + { + "text": "0.042", + "bbox_points": [ + 339.36, + 224.9, + 359.02, + 232.92 + ] + }, + { + "text": "0.300", + "bbox_points": [ + 404.44, + 224.9, + 424.11, + 232.92 + ] + }, + { + "text": "0.045", + "bbox_points": [ + 478.48, + 224.9, + 498.15, + 232.92 + ] + }, + { + "text": "0.277", + "bbox_points": [ + 543.62, + 224.9, + 563.29, + 232.92 + ] + } + ] + }, + { + "text": "Hindu 0.089 0.000 0.071 0.000 0.073 0.004", + "bbox_points": [ + 64.0, + 238.91, + 563.29, + 246.92 + ], + "words": [ + { + "text": "Hindu", + "bbox_points": [ + 64.0, + 238.91, + 87.23, + 246.92 + ] + }, + { + "text": "0.089", + "bbox_points": [ + 200.18, + 238.91, + 219.84, + 246.92 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 265.32, + 238.91, + 284.98, + 246.92 + ] + }, + { + "text": "0.071", + "bbox_points": [ + 339.36, + 238.91, + 359.02, + 246.92 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 404.44, + 238.91, + 424.11, + 246.92 + ] + }, + { + "text": "0.073", + "bbox_points": [ + 478.48, + 238.91, + 498.15, + 246.92 + ] + }, + { + "text": "0.004", + "bbox_points": [ + 543.62, + 238.91, + 563.29, + 246.92 + ] + } + ] + }, + { + "text": "Poor 0.411 0.000 0.304 0.000 0.353 0.000", + "bbox_points": [ + 64.0, + 252.85, + 563.28, + 260.87 + ], + "words": [ + { + "text": "Poor", + "bbox_points": [ + 64.0, + 252.85, + 81.13, + 260.87 + ] + }, + { + "text": "0.411", + "bbox_points": [ + 200.18, + 252.85, + 219.84, + 260.87 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 265.32, + 252.85, + 284.98, + 260.87 + ] + }, + { + "text": "0.304", + "bbox_points": [ + 339.36, + 252.85, + 359.02, + 260.87 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 404.44, + 252.85, + 424.1, + 260.87 + ] + }, + { + "text": "0.353", + "bbox_points": [ + 478.48, + 252.85, + 498.14, + 260.87 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 543.62, + 252.85, + 563.28, + 260.87 + ] + } + ] + }, + { + "text": "Lamda (λ) 0.498 0.000", + "bbox_points": [ + 64.0, + 266.58, + 563.29, + 274.87 + ], + "words": [ + { + "text": "Lamda", + "bbox_points": [ + 64.0, + 266.86, + 89.23, + 274.87 + ] + }, + { + "text": "(λ)", + "bbox_points": [ + 91.55, + 266.58, + 101.05, + 274.87 + ] + }, + { + "text": "0.498", + "bbox_points": [ + 472.36, + 266.86, + 492.02, + 274.87 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 543.62, + 266.86, + 563.29, + 274.87 + ] + } + ] + }, + { + "text": "ρ (Rho) 0.324", + "bbox_points": [ + 64.0, + 280.58, + 352.84, + 288.87 + ], + "words": [ + { + "text": "ρ", + "bbox_points": [ + 64.0, + 280.58, + 68.0, + 288.58 + ] + }, + { + "text": "(Rho)", + "bbox_points": [ + 70.41, + 280.86, + 90.79, + 288.87 + ] + }, + { + "text": "0.324", + "bbox_points": [ + 333.18, + 280.86, + 352.84, + 288.87 + ] + } + ] + }, + { + "text": "AIC value 5,887.54 5,809.55 5,787.09", + "bbox_points": [ + 64.0, + 294.86, + 502.85, + 302.88 + ], + "words": [ + { + "text": "AIC", + "bbox_points": [ + 64.0, + 294.86, + 78.91, + 302.88 + ] + }, + { + "text": "value", + "bbox_points": [ + 81.29, + 294.86, + 100.52, + 302.88 + ] + }, + { + "text": "5,887.54", + "bbox_points": [ + 194.0, + 294.86, + 224.49, + 302.88 + ] + }, + { + "text": "5,809.55", + "bbox_points": [ + 333.18, + 294.86, + 363.67, + 302.88 + ] + }, + { + "text": "5,787.09", + "bbox_points": [ + 472.36, + 294.86, + 502.85, + 302.88 + ] + } + ] + }, + { + "text": "R2 0.528 0.588 0.613", + "bbox_points": [ + 64.0, + 307.39, + 492.03, + 316.88 + ], + "words": [ + { + "text": "R2", + "bbox_points": [ + 64.0, + 307.39, + 73.44, + 316.76 + ] + }, + { + "text": "0.528", + "bbox_points": [ + 194.0, + 308.87, + 213.67, + 316.88 + ] + }, + { + "text": "0.588", + "bbox_points": [ + 333.18, + 308.87, + 352.85, + 316.88 + ] + }, + { + "text": "0.613", + "bbox_points": [ + 472.36, + 308.87, + 492.03, + 316.88 + ] + } + ] + }, + { + "text": "N 707 707 707", + "bbox_points": [ + 64.01, + 322.77, + 485.61, + 330.88 + ], + "words": [ + { + "text": "N", + "bbox_points": [ + 64.01, + 322.77, + 70.42, + 330.77 + ] + }, + { + "text": "707", + "bbox_points": [ + 194.0, + 322.87, + 207.25, + 330.88 + ] + }, + { + "text": "707", + "bbox_points": [ + 333.18, + 322.87, + 346.43, + 330.88 + ] + }, + { + "text": "707", + "bbox_points": [ + 472.36, + 322.87, + 485.61, + 330.88 + ] + } + ] + }, + { + "text": "Coef coefficient; HH household head; OLS ordinary least square; SLM spatial lag model; SEM spatial error model; AIC Akaike information criterion", + "bbox_points": [ + 64.01, + 339.21, + 471.7, + 345.25 + ], + "words": [ + { + "text": "Coef", + "bbox_points": [ + 64.01, + 339.25, + 76.49, + 345.25 + ] + }, + { + "text": "coefficient;", + "bbox_points": [ + 81.69, + 339.21, + 111.58, + 345.25 + ] + }, + { + "text": "HH", + "bbox_points": [ + 113.56, + 339.25, + 121.55, + 345.25 + ] + }, + { + "text": "household", + "bbox_points": [ + 125.18, + 339.25, + 153.39, + 345.25 + ] + }, + { + "text": "head;", + "bbox_points": [ + 155.45, + 339.25, + 170.43, + 345.25 + ] + }, + { + "text": "OLS", + "bbox_points": [ + 172.4, + 339.25, + 182.77, + 345.25 + ] + }, + { + "text": "ordinary", + "bbox_points": [ + 186.4, + 339.25, + 208.69, + 345.25 + ] + }, + { + "text": "least", + "bbox_points": [ + 210.67, + 339.25, + 223.53, + 345.25 + ] + }, + { + "text": "square;", + "bbox_points": [ + 225.46, + 339.25, + 245.5, + 345.25 + ] + }, + { + "text": "SLM", + "bbox_points": [ + 247.46, + 339.25, + 258.83, + 345.25 + ] + }, + { + "text": "spatial", + "bbox_points": [ + 262.48, + 339.25, + 280.09, + 345.25 + ] + }, + { + "text": "lag", + "bbox_points": [ + 281.98, + 339.25, + 289.79, + 345.25 + ] + }, + { + "text": "model;", + "bbox_points": [ + 291.79, + 339.25, + 310.33, + 345.25 + ] + }, + { + "text": "SEM", + "bbox_points": [ + 312.37, + 339.25, + 324.18, + 345.25 + ] + }, + { + "text": "spatial", + "bbox_points": [ + 327.79, + 339.25, + 345.39, + 345.25 + ] + }, + { + "text": "error", + "bbox_points": [ + 347.35, + 339.25, + 360.64, + 345.25 + ] + }, + { + "text": "model;", + "bbox_points": [ + 362.54, + 339.25, + 381.08, + 345.25 + ] + }, + { + "text": "AIC", + "bbox_points": [ + 383.12, + 339.25, + 392.42, + 345.25 + ] + }, + { + "text": "Akaike", + "bbox_points": [ + 396.05, + 339.25, + 414.09, + 345.25 + ] + }, + { + "text": "information", + "bbox_points": [ + 416.0, + 339.25, + 447.21, + 345.25 + ] + }, + { + "text": "criterion", + "bbox_points": [ + 449.17, + 339.25, + 471.7, + 345.25 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Mudi et al. - 2024 - A district-level geospatial analysis of the availa/table_04.txt b/Figures/Mudi et al. - 2024 - A district-level geospatial analysis of the availa/table_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a24a97d748a99c39bdb955432805fe1dca1b4d1 --- /dev/null +++ b/Figures/Mudi et al. - 2024 - A district-level geospatial analysis of the availa/table_04.txt @@ -0,0 +1 @@ +OLS, SLM, and SEM to assess the association between improved water and sanitation facilities and selected background variables diff --git a/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_01.jpg b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of 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Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_01.txt @@ -0,0 +1 @@ +Adopted study approach. diff --git a/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_02.jpg b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3d27dbd770dca023717a94554e6d001f226eaa47 --- /dev/null +++ b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e5f8b128092687a697095a2ae7c0fcfdb86058b3d6bca7f83eab7964102c6210 +size 183117 diff --git a/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness 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cli/figure_03.txt @@ -0,0 +1 @@ +Location of selected flooding hotspots. diff --git a/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_04.jpg b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..aef1120515c7f1c22f5c285313223a8127dd9136 --- /dev/null +++ b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9c7aed81c26c5c7c17d2ce9cb920acc436b0e484d71943e78c7e2973f16a1b78 +size 61907 diff --git a/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_04.txt b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..36c1081abf6d8dcda85f0ab95c43251e96fcb8f1 --- /dev/null +++ b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_04.txt @@ -0,0 +1 @@ +Extracted design storms considering the projected future climate change conditions. diff --git a/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_05.jpg b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..16238b088a548c7a27bd360561a639d087e40a9e --- /dev/null +++ b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4d245b74c9215771cb19637023da1faa9263bdc54248fcfb7012f018d17dc626 +size 183903 diff --git a/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_05.txt b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..63525a07d5babcdd575e0c971ff0bad0600a9a47 --- /dev/null +++ b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_05.txt @@ -0,0 +1 @@ +Simulated flooding extent (flooded area) for the existing Nakivubo UDS considering the ‘failed’ initial UDS state and current climate conditions considering various return periods: (a) T2; (b) T5; (c) T10; (d) T25; (e) T50 and (f) T100. diff --git a/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_06.jpg b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ed1714145cb67df0d3206ecb35b6991ae0192bdc --- /dev/null +++ b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:981453e32833076043b644afffa9e55b331fd6410adaa880c4fd058c9eaf2ec4 +size 182272 diff --git a/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_06.txt b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d3dd05cd0332997b2e9c451248990a5e20f85e6 --- /dev/null +++ b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_06.txt @@ -0,0 +1 @@ +Simulated flooding extent (flooded area) for the existing Nakivubo UDS considering the ‘partially-failed’ UDS initial state and current climate conditions considering various return periods: (a) T2; (b) T5; (c) T10; (d) T25; (e) T50 and (f) T100. diff --git a/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of Blue-Green Infrastructure for reduction of pluvial flooding under cli/figure_07.jpg b/Figures/Mugume and Nakyanzi - 2024 - Evaluation of effectiveness of 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i/figure_09.txt b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd98e3590df3cd4f0d00d7e01ecebc24c4ba8c2e --- /dev/null +++ b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_09.txt @@ -0,0 +1 @@ +Simulated flooding extent (flooded area) for the existing Kinawataka UDS considering the failed initial state. Blue colour is the inundated area and the red mark is the outlet. Top row, Left to Right – T2, T10, Middle row, Left to Right – T25, T50, and Bottom row, Left to Right – T50, T100. diff --git a/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_10.jpg b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..98582d220efa11e4dd22dac45d3ff2e87526c3f2 --- /dev/null +++ b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5a4471bdf3a904479d5a6f05b2451e22598bd2413e866665a7dcc0d8be9164e2 +size 184148 diff --git a/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_10.txt b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a809e3eac9e302c8bcc8a34716d447840672059 --- /dev/null +++ b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_10.txt @@ -0,0 +1 @@ +Simulated flooding extent (flooded area) the existing Kinawataka UDS considering the non-failed initial state. Blue colour is the inundated area and the red mark is the outlet. Top row, Left to Right – T2, T10, Middle row, Left to Right – T25, T50, and Bottom row, Left to Right – T50, T100. diff --git a/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_11.jpg b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_11.jpg new file mode 100644 index 0000000000000000000000000000000000000000..704a08b465021c36b405e3394c7b0b69fce90bca --- /dev/null +++ b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_11.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0fc3008c2daf200ffa33aa714abf9d2ca5004d2cbe8b13599cbd3750e81b3198 +size 168988 diff --git a/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_11.txt b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_11.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ff7b8720f7373d7a04b5e1e40e16bb796270bcf --- /dev/null +++ b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_11.txt @@ -0,0 +1 @@ +Simulated flooding extent (flooded area) for the existing Nalukolongo UDS considering a failed UDS initial state. Blue colour is the inundated area and the red mark is the outlet. Top row, Left to Right – T2, T10, Middle row, Left to Right – T25, T50, and Bottom row, Left to Right – T50, T100. diff --git a/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_12.jpg b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_12.jpg new file mode 100644 index 0000000000000000000000000000000000000000..514ea6bae203839370e5ed219eb6dadf5f209703 --- /dev/null +++ b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_12.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0f909c1dc0191ec4cb98430fbb892fb0fbb1eac6259923ee831d97836b2c23fe +size 182107 diff --git a/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_12.txt b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_12.txt new file mode 100644 index 0000000000000000000000000000000000000000..dffe6258b866783a27fe4ba0d62b5671c4aa1349 --- /dev/null +++ b/Figures/Mugume et al. - 2024 - Can Blue-Green Infrastructure enhance resilience i/figure_12.txt @@ -0,0 +1 @@ +Simulated flooding extent (flooded area) for the existing Nalukolongo UDS considering a non-failed UDS initial state. Blue colour is the inundated area and the red mark is the outlet. 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balance comp/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:83a20e93c166370c00b464669e673cca52c35262daaa40cd0fb434ea2b93449f +size 55924 diff --git "a/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_04.txt" "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d63ad6f6a366a24341829f2ef830f4d1febf9e05 --- /dev/null +++ "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_04.txt" @@ -0,0 +1 @@ +(e) Spatial distribution of the groundwater level. diff --git "a/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal 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Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_07.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..b8c6643c87a8ee1e6120e79d0184abee19aff7b3 --- /dev/null +++ "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_07.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b57a0e31768df28092b63ecf6113d46b5158899530f7a6a1a35d692a6e04abf2 +size 170541 diff --git "a/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_07.txt" "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_07.txt" new file mode 100644 index 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comp/figure_09.jpg" "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_09.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..9f30c9594c3a9d6497e7cc3dd9a36a5808fa9adc --- /dev/null +++ "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_09.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d3b28bb0eafc5afa36d0a66531e92da07d2c66af757481ff7ae0f22ae550bcce +size 31408 diff --git "a/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_09.txt" "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_09.txt" new file mode 100644 index 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balance comp/figure_10.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c0f9ff820e13ccb6cddf3223fd24eaea726095e482b54e37cdbda3c0a1340180 +size 178680 diff --git "a/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_10.txt" "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_10.txt" new file mode 100644 index 0000000000000000000000000000000000000000..8a1ff6f0e928ba0145688c4c5dd60bb5d460c4e3 --- /dev/null +++ "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_10.txt" @@ -0,0 +1 @@ +Groundwater head with respect to stress (recharge): (a) wet; (b) dry; and (c) yearly. diff --git "a/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_11.jpg" "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_11.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..89e7441ba6f89998f0642be19f91dbc7638ea48d --- /dev/null +++ "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_11.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9da50b520d860a7862580af69438c4fa0450191137ae8ef47bc5f910a7a26f0b +size 26511 diff --git "a/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_11.txt" "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/figure_11.txt" 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+ 301.48, + 336.33 + ] + }, + { + "text": "879", + "bbox_points": [ + 402.18, + 328.31, + 415.43, + 336.33 + ] + }, + { + "text": "169", + "bbox_points": [ + 477.64, + 328.31, + 490.89, + 336.33 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/table_03.txt" "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/table_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..45b5b25f0ef7b195e625e021a16d3a5c4894dca3 --- /dev/null +++ "b/Figures/Mulie Asrade - 2024 - Application of coupled WetSpass-M and MODFLOW models to estimate spatial\342\200\223temporal water balance comp/table_03.txt" @@ -0,0 +1 @@ +Annual and seasonal WetSpass-M simulated water balance components of the Chemoga watershed diff --git a/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_01.jpg b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..791eb8b2fd87245dba2720cea0c1ac269c176a3d --- /dev/null +++ b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:628fe939aa0e22fc82ca76c58592ce62c38106a60e90141c6beb3a1e51f5870d +size 58429 diff --git a/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_01.txt b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_01.txt new file mode 100644 index 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sha256:1ded3a6659f11173d7a374ab1df446c4cb5ea91de96056f30808e08d9116d236 +size 184040 diff --git a/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_02.txt b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..da40ef165de7b065d12192f2fe941d4dc344fab4 --- /dev/null +++ b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_02.txt @@ -0,0 +1 @@ +Temporal evolution of SPI and SPEI over 1-, 3-, 6-, and 12-month timescales for the whole of Ethiopia. Yellow, red, and violet colors represent different drought categorizations. diff --git a/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_03.jpg b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d5c87a1c0175cae590e20584a712da4577742f82 --- /dev/null +++ b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3d46db8fe51a21e012a77f0d915f3c9d0cb900794b1f8e3b011605c94c3b6035 +size 116398 diff --git a/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_03.txt b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..82bb87a49188b8f6183823542db113d11d7d5a27 --- /dev/null +++ b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_03.txt @@ -0,0 +1 @@ +Temporal evolution of the SPEI and SPI values on different timescales (1–12 months) for the 1981–2018 period for the whole of Ethiopia. diff --git a/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_04.jpg b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..31dc059ff7965b1e19d0a26e596c0c5491f26183 --- /dev/null +++ b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1b6ea04114ce1244a0d3362aa23cc0420a9da0ea8f32a588291733674b73f815 +size 179987 diff --git a/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/figure_04.txt b/Figures/Mulualem et al. - 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/dev/null +++ b/Figures/Mulualem et al. - 2024 - The phenomenon of drought in Ethiopia Historical evolution and climatic forcing/table_03.txt @@ -0,0 +1 @@ +The difference between SPEI (1, 3, 6, and 12) and SPI (1, 3, 6, and 12) diff --git a/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_01.jpg b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..933584b97c9aea03ce12ea2d828ea24b8b066d23 --- /dev/null +++ b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:be6be1d8feee4b085835c5987840d7fcec4c77ed1951495f0b97897b7e8c1848 +size 105363 diff --git 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Upper Erer River, Wabisheble River Basin/figure_02.txt @@ -0,0 +1 @@ +Upper Erer River at the Erer-Jijiga Road Bridge: (a) staff gauge installed in 2020, (b) flow-measuring process on-site using crane movement for vertical current meter in 2020, and (c) the Erer River at full stage during the peak flow in August 2020. diff --git a/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_03.jpg b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..10a44bda45591f9e4d765899a2cc6efb3654316f --- /dev/null +++ b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:03076c8c6043e339d135aa45f361a828acc06e473e0cfb1dbb682930aee02888 +size 48644 diff --git a/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_03.txt b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c01e4532b01fc280122d9f72f9c09dc3f3fad2f --- /dev/null +++ b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_03.txt @@ -0,0 +1 @@ +Average daily stage hydrograph for the Upper Erer River at the Erer Bridge Gauge Station. diff --git a/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_04.jpg b/Figures/Mummed and Shiferaw - 2024 - 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b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_04.txt @@ -0,0 +1 @@ +Discharge hydrograph for Upper Erer River based on the fitted rating curve. diff --git a/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_05.jpg b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2f4439aeb7f1037e5065cd8d812563a1679ed060 --- /dev/null +++ b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f9847bb6da5dfbaf1bdae1559746e9fdefd534841ffeaa6c2d177d89a2405bfe +size 40042 diff --git a/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_05.txt b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..eadff18de91b476ac126b74e78b03711c9bee917 --- /dev/null +++ b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_05.txt @@ -0,0 +1 @@ +Observed and predicted with the fitted stage–discharge rating curve at Upper Erer River. diff --git a/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River Basin/figure_06.jpg b/Figures/Mummed and Shiferaw - 2024 - Discharge estimation using a rating curve developed for the Upper Erer River, Wabisheble River 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5 min þ 3 h; 8% NaOH);", + "bbox_points": [ + 73.99, + 281.09, + 407.58, + 289.39 + ], + "words": [ + { + "text": "250", + "bbox_points": [ + 73.99, + 281.37, + 87.23, + 289.38 + ] + }, + { + "text": "rpm;", + "bbox_points": [ + 89.18, + 281.37, + 106.24, + 289.38 + ] + }, + { + "text": "5", + "bbox_points": [ + 108.62, + 281.37, + 113.04, + 289.38 + ] + }, + { + "text": "min", + "bbox_points": [ + 115.03, + 281.37, + 129.1, + 289.38 + ] + }, + { + "text": "þ", + "bbox_points": [ + 130.62, + 281.09, + 136.78, + 289.09 + ] + }, + { + "text": "3", + "bbox_points": [ + 138.39, + 281.37, + 142.8, + 289.38 + ] + }, + { + "text": "h;", + "bbox_points": [ + 144.8, + 281.37, + 151.87, + 289.38 + ] + }, + { + "text": "8%", + "bbox_points": [ + 364.08, + 281.37, + 375.5, + 289.39 + ] + }, + { + "text": "NaOH);", + "bbox_points": [ + 377.86, + 281.37, + 407.58, + 289.39 + ] + } + ] + }, + { + "text": "37 °C", + "bbox_points": [ + 73.99, + 291.86, + 93.3, + 299.87 + ], + "words": [ + { + "text": "37", + "bbox_points": [ + 73.99, + 291.86, + 82.82, + 299.87 + ] + }, + { + "text": "°C", + "bbox_points": [ + 84.81, + 291.86, + 93.3, + 299.87 + ] + } + ] + }, + { + "text": "– 2, 4, 6, and 8 g NaOH/ Batch – 4% NaOH- – Max. DDsCOD of 37% at 8% NaOH- Maryam et al.", + "bbox_points": [ + 64.01, + 305.58, + 554.13, + 314.61 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 64.01, + 305.58, + 68.01, + 313.58 + ] + }, + { + "text": "2,", + "bbox_points": [ + 70.41, + 305.86, + 76.83, + 313.88 + ] + }, + { + "text": "4,", + "bbox_points": [ + 79.2, + 305.86, + 85.62, + 313.88 + ] + }, + { + "text": "6,", + "bbox_points": [ + 87.99, + 305.86, + 94.4, + 313.88 + ] + }, + { + "text": "and", + "bbox_points": [ + 96.78, + 305.86, + 110.26, + 313.88 + ] + }, + { + "text": "8", + "bbox_points": [ + 112.65, + 305.86, + 117.07, + 313.88 + ] + }, + { + "text": "g", + "bbox_points": [ + 119.06, + 305.86, + 123.06, + 313.88 + ] + }, + { + "text": "NaOH/", + "bbox_points": [ + 125.41, + 305.86, + 153.63, + 313.88 + ] + }, + { + "text": "Batch", + "bbox_points": [ + 167.98, + 305.86, + 188.88, + 313.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 281.99, + 305.58, + 285.99, + 313.58 + ] + }, + { + "text": "4%", + "bbox_points": [ + 288.4, + 305.86, + 299.81, + 313.88 + ] + }, + { + "text": "NaOH-", + "bbox_points": [ + 302.17, + 305.86, + 328.9, + 313.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 354.1, + 305.58, + 358.1, + 313.58 + ] + }, + { + "text": "Max.", + "bbox_points": [ + 360.45, + 305.86, + 378.52, + 313.88 + ] + }, + { + "text": "DDsCOD", + "bbox_points": [ + 380.92, + 305.86, + 410.7, + 314.61 + ] + }, + { + "text": "of", + "bbox_points": [ + 413.12, + 305.86, + 420.19, + 313.88 + ] + }, + { + "text": "37%", + "bbox_points": [ + 422.59, + 305.86, + 438.42, + 313.88 + ] + }, + { + "text": "at", + "bbox_points": [ + 440.73, + 305.86, + 447.33, + 313.88 + ] + }, + { + "text": "8%", + "bbox_points": [ + 449.69, + 305.86, + 461.1, + 313.88 + ] + }, + { + "text": "NaOH-", + "bbox_points": [ + 463.46, + 305.86, + 490.19, + 313.88 + ] + }, + { + "text": "Maryam", + "bbox_points": [ + 504.11, + 305.86, + 534.1, + 313.88 + ] + }, + { + "text": "et", + "bbox_points": [ + 536.48, + 305.76, + 542.8, + 313.76 + ] + }, + { + "text": "al.", + "bbox_points": [ + 545.22, + 305.76, + 554.13, + 313.76 + ] + } + ] + }, + { + "text": "100 g TS sludge þ 0.3, – 300 mL; 37 °C; 40 days 0.5 g/L TiO2 0.4 g/L TiO2; Max. VS% reduced by (2021)", + "bbox_points": [ + 73.99, + 316.12, + 535.26, + 325.09 + ], + "words": [ + { + "text": "100", + "bbox_points": [ + 73.99, + 316.4, + 87.23, + 324.42 + ] + }, + { + "text": "g", + "bbox_points": [ + 89.18, + 316.4, + 93.18, + 324.42 + ] + }, + { + "text": "TS", + "bbox_points": [ + 95.59, + 316.4, + 105.33, + 324.42 + ] + }, + { + "text": "sludge", + "bbox_points": [ + 107.72, + 316.4, + 130.53, + 324.42 + ] + }, + { + "text": "þ", + "bbox_points": [ + 132.04, + 316.12, + 138.2, + 324.12 + ] + }, + { + "text": "0.3,", + "bbox_points": [ + 139.75, + 316.4, + 152.58, + 324.42 + ] + }, + { + "text": "–", + "bbox_points": [ + 167.98, + 316.13, + 171.98, + 324.13 + ] + }, + { + "text": "300", + "bbox_points": [ + 174.39, + 316.41, + 187.64, + 324.42 + ] + }, + { + "text": "mL;", + "bbox_points": [ + 189.58, + 316.41, + 204.24, + 324.42 + ] + }, + { + "text": "37", + "bbox_points": [ + 206.59, + 316.41, + 215.42, + 324.42 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 217.42, + 316.41, + 228.23, + 324.42 + ] + }, + { + "text": "40", + "bbox_points": [ + 230.63, + 316.41, + 239.46, + 324.42 + ] + }, + { + "text": "days", + "bbox_points": [ + 241.8, + 316.41, + 257.54, + 324.42 + ] + }, + { + "text": "0.5", + "bbox_points": [ + 292.02, + 316.41, + 302.86, + 324.42 + ] + }, + { + "text": "g/L", + "bbox_points": [ + 304.78, + 316.41, + 317.68, + 324.42 + ] + }, + { + "text": "TiO2", + "bbox_points": [ + 319.75, + 316.41, + 337.06, + 325.09 + ] + }, + { + "text": "0.4", + "bbox_points": [ + 364.08, + 316.41, + 374.91, + 324.42 + ] + }, + { + "text": "g/L", + "bbox_points": [ + 376.89, + 316.41, + 389.8, + 324.42 + ] + }, + { + "text": "TiO2;", + "bbox_points": [ + 391.8, + 316.41, + 411.48, + 325.09 + ] + }, + { + "text": "Max.", + "bbox_points": [ + 413.91, + 316.41, + 431.98, + 324.42 + ] + }, + { + "text": "VS%", + "bbox_points": [ + 434.32, + 316.41, + 452.07, + 324.42 + ] + }, + { + "text": "reduced", + "bbox_points": [ + 454.39, + 316.41, + 483.13, + 324.42 + ] + }, + { + "text": "by", + "bbox_points": [ + 485.46, + 316.41, + 493.88, + 324.42 + ] + }, + { + "text": "(2021)", + "bbox_points": [ + 512.11, + 316.41, + 535.26, + 324.42 + ] + } + ] + }, + { + "text": "0.4, 0.5, 0.6 g/L TiO2 26% at 8% NaOH-0.5 g/L TiO2;", + "bbox_points": [ + 73.99, + 326.89, + 479.12, + 335.58 + ], + "words": [ + { + "text": "0.4,", + "bbox_points": [ + 73.99, + 326.89, + 86.82, + 334.91 + ] + }, + { + "text": "0.5,", + "bbox_points": [ + 89.18, + 326.89, + 102.01, + 334.91 + ] + }, + { + "text": "0.6", + "bbox_points": [ + 104.37, + 326.89, + 115.21, + 334.91 + ] + }, + { + "text": "g/L", + "bbox_points": [ + 117.19, + 326.89, + 130.09, + 334.91 + ] + }, + { + "text": "TiO2", + "bbox_points": [ + 132.1, + 326.89, + 149.47, + 335.58 + ] + }, + { + "text": "26%", + "bbox_points": [ + 364.08, + 326.89, + 379.91, + 334.91 + ] + }, + { + "text": "at", + "bbox_points": [ + 382.28, + 326.89, + 388.82, + 334.91 + ] + }, + { + "text": "8%", + "bbox_points": [ + 391.24, + 326.89, + 402.65, + 334.91 + ] + }, + { + "text": "NaOH-0.5", + "bbox_points": [ + 405.01, + 326.89, + 442.48, + 334.91 + ] + }, + { + "text": "g/L", + "bbox_points": [ + 444.47, + 326.89, + 457.38, + 334.91 + ] + }, + { + "text": "TiO2;", + "bbox_points": [ + 459.44, + 326.89, + 479.12, + 335.58 + ] + } + ] + }, + { + "text": "(44–50 nm); 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B ¼ sCSTR – At 10 days HRT, the COD removals Lin et al. 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CSTR – 170 °C – sCOD was more for thermochemical; Valo et al.", + "bbox_points": [ + 43.43, + 274.12, + 520.45, + 282.41 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 43.43, + 274.12, + 47.43, + 282.12 + ] + }, + { + "text": "pH", + "bbox_points": [ + 49.84, + 274.4, + 61.41, + 282.41 + ] + }, + { + "text": "10", + "bbox_points": [ + 63.78, + 274.4, + 72.61, + 282.41 + ] + }, + { + "text": "(1.68", + "bbox_points": [ + 75.01, + 274.4, + 93.0, + 282.41 + ] + }, + { + "text": "g", + "bbox_points": [ + 94.91, + 274.4, + 98.91, + 282.41 + ] + }, + { + "text": "KOH/L);", + "bbox_points": [ + 101.31, + 274.4, + 134.7, + 282.41 + ] + }, + { + "text": "CSTR", + "bbox_points": [ + 147.46, + 274.4, + 168.52, + 282.41 + ] + }, + { + "text": "–", + "bbox_points": [ + 261.47, + 274.12, + 265.47, + 282.12 + ] + }, + { + "text": "170", + "bbox_points": [ + 267.82, + 274.4, + 281.06, + 282.41 + ] + }, + { + "text": "°C", + "bbox_points": [ + 283.07, + 274.4, + 291.55, + 282.41 + ] + }, + { + "text": "–", + "bbox_points": [ + 333.52, + 274.12, + 337.52, + 282.12 + ] + }, + { + "text": "sCOD", + "bbox_points": [ + 339.93, + 274.4, + 362.15, + 282.41 + ] + }, + { + "text": "was", + "bbox_points": [ + 364.48, + 274.4, + 378.15, + 282.41 + ] + }, + { + "text": "more", + "bbox_points": [ + 380.52, + 274.4, + 399.09, + 282.41 + ] + }, + { + "text": "for", + "bbox_points": [ + 401.44, + 274.4, + 411.67, + 282.41 + ] + }, + { + "text": "thermochemical;", + "bbox_points": [ + 414.08, + 274.4, + 474.94, + 282.41 + ] + }, + { + "text": "Valo", + "bbox_points": [ + 483.53, + 274.4, + 500.44, + 282.41 + ] + }, + { + "text": "et", + "bbox_points": [ + 502.81, + 274.29, + 509.13, + 282.29 + ] + }, + { + "text": "al.", + "bbox_points": [ + 511.54, + 274.29, + 520.45, + 282.29 + ] + } + ] + }, + { + "text": "130 °C; 170 °C; 30 min – 1 L; 35 °C; HRT ¼ 20 days 71% of COD degradation and 59% (2004)", + "bbox_points": [ + 53.46, + 284.6, + 514.68, + 292.9 + ], + "words": [ + { + "text": "130", + "bbox_points": [ + 53.46, + 284.88, + 66.71, + 292.9 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 68.66, + 284.88, + 79.47, + 292.9 + ] + }, + { + "text": "170", + "bbox_points": [ + 81.87, + 284.88, + 95.11, + 292.9 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 97.06, + 284.88, + 107.88, + 292.9 + ] + }, + { + "text": "30", + "bbox_points": [ + 110.27, + 284.88, + 119.1, + 292.9 + ] + }, + { + "text": "min", + "bbox_points": [ + 121.04, + 284.88, + 135.11, + 292.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 147.46, + 284.6, + 151.46, + 292.6 + ] + }, + { + "text": "1", + "bbox_points": [ + 153.86, + 284.88, + 158.28, + 292.9 + ] + }, + { + "text": "L;", + "bbox_points": [ + 160.21, + 284.88, + 167.87, + 292.9 + ] + }, + { + "text": "35", + "bbox_points": [ + 170.25, + 284.88, + 179.08, + 292.9 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 181.08, + 284.88, + 191.89, + 292.9 + ] + }, + { + "text": "HRT", + "bbox_points": [ + 194.29, + 284.88, + 211.86, + 292.9 + ] + }, + { + "text": "¼", + "bbox_points": [ + 213.39, + 284.6, + 219.55, + 292.6 + ] + }, + { + "text": "20", + "bbox_points": [ + 221.1, + 284.88, + 229.93, + 292.9 + ] + }, + { + "text": "days", + "bbox_points": [ + 232.33, + 284.88, + 248.01, + 292.9 + ] + }, + { + "text": "71%", + "bbox_points": [ + 343.56, + 284.88, + 359.39, + 292.9 + ] + }, + { + "text": "of", + "bbox_points": [ + 361.7, + 284.88, + 368.77, + 292.9 + ] + }, + { + "text": "COD", + "bbox_points": [ + 371.17, + 284.88, + 390.04, + 292.9 + ] + }, + { + "text": "degradation", + "bbox_points": [ + 392.43, + 284.88, + 434.88, + 292.9 + ] + }, + { + "text": "and", + "bbox_points": [ + 437.27, + 284.88, + 450.75, + 292.9 + ] + }, + { + "text": "59%", + "bbox_points": [ + 453.15, + 284.88, + 468.98, + 292.9 + ] + }, + { + "text": "(2004)", + "bbox_points": [ + 491.53, + 284.88, + 514.68, + 292.9 + ] + } + ] + }, + { + "text": "of TS degradation; 54% increase in", + "bbox_points": [ + 343.56, + 295.37, + 469.46, + 303.39 + ], + "words": [ + { + "text": "of", + "bbox_points": [ + 343.56, + 295.37, + 350.63, + 303.39 + ] + }, + { + "text": "TS", + "bbox_points": [ + 353.03, + 295.37, + 362.77, + 303.39 + ] + }, + { + "text": "degradation;", + "bbox_points": [ + 365.1, + 295.37, + 409.94, + 303.39 + ] + }, + { + "text": "54%", + "bbox_points": [ + 412.27, + 295.37, + 428.1, + 303.39 + ] + }, + { + "text": "increase", + "bbox_points": [ + 430.47, + 295.37, + 460.02, + 303.39 + ] + }, + { + "text": "in", + "bbox_points": [ + 462.39, + 295.37, + 469.46, + 303.39 + ] + } + ] + }, + { + "text": "biogas production", + "bbox_points": [ + 343.56, + 305.86, + 408.22, + 313.88 + ], + "words": [ + { + "text": "biogas", + "bbox_points": [ + 343.56, + 305.86, + 366.37, + 313.88 + ] + }, + { + "text": "production", + "bbox_points": [ + 368.67, + 305.86, + 408.22, + 313.88 + ] + } + ] + }, + { + "text": "– NaOH (50% w/w) 1– CSTR – No significant difference in Toutian et al.", + "bbox_points": [ + 43.43, + 319.58, + 531.34, + 327.88 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 43.43, + 319.58, + 47.43, + 327.58 + ] + }, + { + "text": "NaOH", + "bbox_points": [ + 49.83, + 319.86, + 74.48, + 327.88 + ] + }, + { + "text": "(50%", + "bbox_points": [ + 76.82, + 319.86, + 95.4, + 327.88 + ] + }, + { + "text": "w/w)", + "bbox_points": [ + 97.74, + 319.86, + 116.72, + 327.88 + ] + }, + { + "text": "1–", + "bbox_points": [ + 119.11, + 319.58, + 127.48, + 327.88 + ] + }, + { + "text": "CSTR", + "bbox_points": [ + 147.46, + 319.86, + 168.52, + 327.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 333.52, + 319.58, + 337.52, + 327.58 + ] + }, + { + "text": "No", + "bbox_points": [ + 339.93, + 319.86, + 351.25, + 327.88 + ] + }, + { + "text": "significant", + "bbox_points": [ + 353.65, + 319.58, + 390.56, + 327.88 + ] + }, + { + "text": "difference", + "bbox_points": [ + 392.88, + 319.86, + 428.5, + 327.88 + ] + }, + { + "text": "in", + "bbox_points": [ + 430.87, + 319.86, + 437.94, + 327.88 + ] + }, + { + "text": "Toutian", + "bbox_points": [ + 483.53, + 319.86, + 511.31, + 327.88 + ] + }, + { + "text": "et", + "bbox_points": [ + 513.69, + 319.76, + 520.01, + 327.76 + ] + }, + { + "text": "al.", + "bbox_points": [ + 522.42, + 319.76, + 531.34, + 327.76 + ] + } + ] + }, + { + "text": "2.5 mL/L sludge; 2– – 1,800 L; 37 °C; HRT ¼ 20 dewaterability; Normalized capillary (2020)", + "bbox_points": [ + 53.46, + 330.13, + 514.68, + 338.42 + ], + "words": [ + { + "text": "2.5", + "bbox_points": [ + 53.46, + 330.41, + 64.3, + 338.42 + ] + }, + { + "text": "mL/L", + "bbox_points": [ + 66.22, + 330.41, + 87.45, + 338.42 + ] + }, + { + "text": "sludge;", + "bbox_points": [ + 89.8, + 330.41, + 114.94, + 338.42 + ] + }, + { + "text": "2–", + "bbox_points": [ + 117.3, + 330.13, + 125.72, + 338.42 + ] + }, + { + "text": "–", + "bbox_points": [ + 147.46, + 330.13, + 151.46, + 338.13 + ] + }, + { + "text": "1,800", + "bbox_points": [ + 153.86, + 330.41, + 173.53, + 338.42 + ] + }, + { + "text": "L;", + "bbox_points": [ + 175.41, + 330.41, + 183.06, + 338.42 + ] + }, + { + "text": "37", + "bbox_points": [ + 185.5, + 330.41, + 194.33, + 338.42 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 196.27, + 330.41, + 207.09, + 338.42 + ] + }, + { + "text": "HRT", + "bbox_points": [ + 209.48, + 330.41, + 227.06, + 338.42 + ] + }, + { + "text": "¼", + "bbox_points": [ + 228.59, + 330.13, + 234.75, + 338.13 + ] + }, + { + "text": "20", + "bbox_points": [ + 236.3, + 330.41, + 245.13, + 338.42 + ] + }, + { + "text": "dewaterability;", + "bbox_points": [ + 343.56, + 330.41, + 396.09, + 338.42 + ] + }, + { + "text": "Normalized", + "bbox_points": [ + 398.44, + 330.41, + 441.23, + 338.42 + ] + }, + { + "text": "capillary", + "bbox_points": [ + 443.62, + 330.41, + 474.66, + 338.42 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 491.53, + 330.41, + 514.68, + 338.42 + ] + } + ] + }, + { + "text": "2.5 h; 65–70 °C days; Organic loading rate suction time of digestate increased;", + "bbox_points": [ + 53.46, + 340.62, + 469.76, + 348.91 + ], + "words": [ + { + "text": "2.5", + "bbox_points": [ + 53.46, + 340.9, + 64.3, + 348.91 + ] + }, + { + "text": "h;", + "bbox_points": [ + 66.22, + 340.9, + 73.29, + 348.91 + ] + }, + { + "text": "65–70", + "bbox_points": [ + 75.69, + 340.62, + 97.33, + 348.91 + ] + }, + { + "text": "°C", + "bbox_points": [ + 99.27, + 340.9, + 107.76, + 348.91 + ] + }, + { + "text": "days;", + "bbox_points": [ + 157.44, + 340.9, + 175.51, + 348.91 + ] + }, + { + "text": "Organic", + "bbox_points": [ + 177.9, + 340.9, + 207.04, + 348.91 + ] + }, + { + "text": "loading", + "bbox_points": [ + 209.37, + 340.9, + 236.08, + 348.91 + ] + }, + { + "text": "rate", + "bbox_points": [ + 238.39, + 340.9, + 251.94, + 348.91 + ] + }, + { + "text": "suction", + "bbox_points": [ + 343.56, + 340.9, + 369.69, + 348.91 + ] + }, + { + "text": "time", + "bbox_points": [ + 372.02, + 340.9, + 387.92, + 348.91 + ] + }, + { + "text": "of", + "bbox_points": [ + 390.27, + 340.9, + 397.35, + 348.91 + ] + }, + { + "text": "digestate", + "bbox_points": [ + 399.74, + 340.9, + 430.92, + 348.91 + ] + }, + { + "text": "increased;", + "bbox_points": [ + 433.3, + 340.9, + 469.76, + 348.91 + ] + } + ] + }, + { + "text": "(OLR) ¼ 1.5 kg VS/m3.day sCOD increased significantly from", + "bbox_points": [ + 157.44, + 349.85, + 467.22, + 359.4 + ], + "words": [ + { + "text": "(OLR)", + "bbox_points": [ + 157.44, + 351.38, + 180.57, + 359.4 + ] + }, + { + "text": "¼", + "bbox_points": [ + 182.1, + 351.1, + 188.26, + 359.1 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 189.86, + 351.38, + 200.7, + 359.4 + ] + }, + { + "text": "kg", + "bbox_points": [ + 202.62, + 351.38, + 211.2, + 359.4 + ] + }, + { + "text": "VS/m3.day", + "bbox_points": [ + 213.62, + 349.85, + 252.71, + 359.4 + ] + }, + { + "text": "sCOD", + "bbox_points": [ + 343.56, + 351.38, + 365.72, + 359.4 + ] + }, + { + "text": "increased", + "bbox_points": [ + 368.11, + 351.38, + 402.23, + 359.4 + ] + }, + { + "text": "significantly", + "bbox_points": [ + 404.56, + 351.1, + 447.8, + 359.4 + ] + }, + { + "text": "from", + "bbox_points": [ + 450.2, + 351.38, + 467.22, + 359.4 + ] + } + ] + }, + { + "text": "2740 to 19,840 mg/L (624%", + "bbox_points": [ + 343.56, + 361.87, + 444.33, + 369.89 + ], + "words": [ + { + "text": "2740", + "bbox_points": [ + 343.56, + 361.87, + 361.22, + 369.89 + ] + }, + { + "text": "to", + "bbox_points": [ + 363.57, + 361.87, + 370.72, + 369.89 + ] + }, + { + "text": "19,840", + "bbox_points": [ + 373.1, + 361.87, + 397.18, + 369.89 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 399.12, + 361.87, + 419.02, + 369.89 + ] + }, + { + "text": "(624%", + "bbox_points": [ + 421.34, + 361.87, + 444.33, + 369.89 + ] + } + ] + }, + { + "text": "increase)", + "bbox_points": [ + 343.56, + 372.36, + 375.79, + 380.38 + ], + "words": [ + { + "text": "increase)", + "bbox_points": [ + 343.56, + 372.36, + 375.79, + 380.38 + ] + } + ] + }, + { + "text": "– pH ¼ 12.5; 40 min; 140 ° – Power density of 1.24 W/m2 Geng et al.", + "bbox_points": [ + 43.43, + 384.89, + 523.0, + 394.38 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 43.43, + 386.08, + 47.43, + 394.08 + ] + }, + { + "text": "pH", + "bbox_points": [ + 49.83, + 386.36, + 61.41, + 394.38 + ] + }, + { + "text": "¼", + "bbox_points": [ + 62.99, + 386.08, + 69.15, + 394.08 + ] + }, + { + "text": "12.5;", + "bbox_points": [ + 70.7, + 386.36, + 88.27, + 394.38 + ] + }, + { + "text": "40", + "bbox_points": [ + 90.6, + 386.36, + 99.43, + 394.38 + ] + }, + { + "text": "min;", + "bbox_points": [ + 101.43, + 386.36, + 117.83, + 394.38 + ] + }, + { + "text": "140", + "bbox_points": [ + 120.19, + 386.36, + 133.44, + 394.38 + ] + }, + { + "text": "°", + "bbox_points": [ + 135.38, + 386.36, + 138.13, + 394.38 + ] + }, + { + "text": "–", + "bbox_points": [ + 333.53, + 386.08, + 337.53, + 394.08 + ] + }, + { + "text": "Power", + "bbox_points": [ + 339.93, + 386.36, + 362.46, + 394.38 + ] + }, + { + "text": "density", + "bbox_points": [ + 364.82, + 386.36, + 390.37, + 394.38 + ] + }, + { + "text": "of", + "bbox_points": [ + 392.6, + 386.36, + 399.67, + 394.38 + ] + }, + { + "text": "1.24", + "bbox_points": [ + 402.01, + 386.36, + 417.26, + 394.38 + ] + }, + { + "text": "W/m2", + "bbox_points": [ + 419.25, + 384.89, + 441.38, + 394.38 + ] + }, + { + "text": "Geng", + "bbox_points": [ + 483.53, + 386.36, + 503.02, + 394.38 + ] + }, + { + "text": "et", + "bbox_points": [ + 505.36, + 386.26, + 511.68, + 394.26 + ] + }, + { + "text": "al.", + "bbox_points": [ + 514.09, + 386.26, + 523.0, + 394.26 + ] + } + ] + }, + { + "text": "C; two-chamber AMFC achieved; COD removal of 49% (2020)", + "bbox_points": [ + 53.46, + 396.91, + 514.68, + 404.93 + ], + "words": [ + { + "text": "C;", + "bbox_points": [ + 53.46, + 396.91, + 61.54, + 404.92 + ] + }, + { + "text": "two-chamber", + "bbox_points": [ + 63.9, + 396.91, + 110.85, + 404.92 + ] + }, + { + "text": "AMFC", + "bbox_points": [ + 113.22, + 396.91, + 137.45, + 404.92 + ] + }, + { + "text": "achieved;", + "bbox_points": [ + 343.56, + 396.91, + 377.48, + 404.93 + ] + }, + { + "text": "COD", + "bbox_points": [ + 379.84, + 396.91, + 398.72, + 404.93 + ] + }, + { + "text": "removal", + "bbox_points": [ + 401.1, + 396.91, + 430.12, + 404.93 + ] + }, + { + "text": "of", + "bbox_points": [ + 432.45, + 396.91, + 439.53, + 404.93 + ] + }, + { + "text": "49%", + "bbox_points": [ + 441.92, + 396.91, + 457.75, + 404.93 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 491.53, + 396.91, + 514.68, + 404.92 + ] + } + ] + }, + { + "text": "(anode pH 9.0) achieved in the AMFC; 82.4% of", + "bbox_points": [ + 53.46, + 407.4, + 461.24, + 415.41 + ], + "words": [ + { + "text": "(anode", + "bbox_points": [ + 53.46, + 407.4, + 78.26, + 415.41 + ] + }, + { + "text": "pH", + "bbox_points": [ + 80.62, + 407.4, + 92.2, + 415.41 + ] + }, + { + "text": "9.0)", + "bbox_points": [ + 94.57, + 407.4, + 108.14, + 415.41 + ] + }, + { + "text": "achieved", + "bbox_points": [ + 343.56, + 407.4, + 375.15, + 415.41 + ] + }, + { + "text": "in", + "bbox_points": [ + 377.52, + 407.4, + 384.59, + 415.41 + ] + }, + { + "text": "the", + "bbox_points": [ + 386.99, + 407.4, + 398.31, + 415.41 + ] + }, + { + "text": "AMFC;", + "bbox_points": [ + 400.65, + 407.4, + 427.21, + 415.41 + ] + }, + { + "text": "82.4%", + "bbox_points": [ + 429.56, + 407.4, + 451.81, + 415.41 + ] + }, + { + "text": "of", + "bbox_points": [ + 454.17, + 407.4, + 461.24, + 415.41 + ] + } + ] + }, + { + "text": "proteins were removed from the", + "bbox_points": [ + 343.56, + 417.89, + 458.57, + 425.9 + ], + "words": [ + { + "text": "proteins", + "bbox_points": [ + 343.56, + 417.89, + 372.65, + 425.9 + ] + }, + { + "text": "were", + "bbox_points": [ + 375.02, + 417.89, + 392.12, + 425.9 + ] + }, + { + "text": "removed", + "bbox_points": [ + 394.53, + 417.89, + 425.44, + 425.9 + ] + }, + { + "text": "from", + "bbox_points": [ + 427.81, + 417.89, + 444.88, + 425.9 + ] + }, + { + "text": "the", + "bbox_points": [ + 447.25, + 417.89, + 458.57, + 425.9 + ] + } + ] + }, + { + "text": "AMFC; humic acids was the major", + "bbox_points": [ + 343.56, + 428.37, + 468.65, + 436.39 + ], + "words": [ + { + "text": "AMFC;", + "bbox_points": [ + 343.56, + 428.37, + 370.12, + 436.39 + ] + }, + { + "text": "humic", + "bbox_points": [ + 372.42, + 428.37, + 395.06, + 436.39 + ] + }, + { + "text": "acids", + "bbox_points": [ + 397.42, + 428.37, + 415.67, + 436.39 + ] + }, + { + "text": "was", + "bbox_points": [ + 418.05, + 428.37, + 431.66, + 436.39 + ] + }, + { + "text": "the", + "bbox_points": [ + 433.87, + 428.37, + 445.19, + 436.39 + ] + }, + { + "text": "major", + "bbox_points": [ + 447.59, + 428.37, + 468.65, + 436.39 + ] + } + ] + }, + { + "text": "residual component in the effluent", + "bbox_points": [ + 343.56, + 438.58, + 467.57, + 446.88 + ], + "words": [ + { + "text": "residual", + "bbox_points": [ + 343.56, + 438.86, + 371.8, + 446.88 + ] + }, + { + "text": "component", + "bbox_points": [ + 374.17, + 438.86, + 414.96, + 446.88 + ] + }, + { + "text": "in", + "bbox_points": [ + 417.26, + 438.86, + 424.33, + 446.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 426.73, + 438.86, + 438.05, + 446.88 + ] + }, + { + "text": "effluent", + "bbox_points": [ + 440.45, + 438.58, + 467.57, + 446.88 + ] + } + ] + }, + { + "text": "– 0–0.2 M NaOH; 6 h; 60– Batch Experimental – Disintegration up to 75.6%; increase Kim et al. (2013)", + "bbox_points": [ + 43.43, + 452.58, + 544.38, + 460.88 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 43.43, + 452.58, + 47.43, + 460.58 + ] + }, + { + "text": "0–0.2", + "bbox_points": [ + 49.84, + 452.58, + 69.06, + 460.88 + ] + }, + { + "text": "M", + "bbox_points": [ + 71.04, + 452.86, + 78.78, + 460.88 + ] + }, + { + "text": "NaOH;", + "bbox_points": [ + 81.13, + 452.86, + 108.11, + 460.88 + ] + }, + { + "text": "6", + "bbox_points": [ + 110.44, + 452.86, + 114.86, + 460.88 + ] + }, + { + "text": "h;", + "bbox_points": [ + 116.85, + 452.86, + 123.92, + 460.88 + ] + }, + { + "text": "60–", + "bbox_points": [ + 126.31, + 452.58, + 139.1, + 460.88 + ] + }, + { + "text": "Batch", + "bbox_points": [ + 147.46, + 452.87, + 168.3, + 460.88 + ] + }, + { + "text": "Experimental", + "bbox_points": [ + 261.47, + 452.87, + 309.89, + 460.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 333.52, + 452.59, + 337.52, + 460.58 + ] + }, + { + "text": "Disintegration", + "bbox_points": [ + 339.93, + 452.87, + 390.95, + 460.88 + ] + }, + { + "text": "up", + "bbox_points": [ + 393.33, + 452.87, + 402.49, + 460.88 + ] + }, + { + "text": "to", + "bbox_points": [ + 404.84, + 452.87, + 411.99, + 460.88 + ] + }, + { + "text": "75.6%;", + "bbox_points": [ + 414.42, + 452.87, + 439.0, + 460.88 + ] + }, + { + "text": "increase", + "bbox_points": [ + 441.3, + 452.87, + 470.84, + 460.88 + ] + }, + { + "text": "Kim", + "bbox_points": [ + 483.53, + 452.86, + 498.86, + 460.88 + ] + }, + { + "text": "et", + "bbox_points": [ + 501.22, + 452.76, + 507.54, + 460.76 + ] + }, + { + "text": "al.", + "bbox_points": [ + 509.95, + 452.76, + 518.86, + 460.76 + ] + }, + { + "text": "(2013)", + "bbox_points": [ + 521.23, + 452.86, + 544.38, + 460.88 + ] + } + ] + }, + { + "text": "90 °C; Manual shaking – 312 mL; 35 °C; HRT ¼ 21 – 0.2 M NaOH, in methane yield up to 70.6%;", + "bbox_points": [ + 53.46, + 463.13, + 451.64, + 471.43 + ], + "words": [ + { + "text": "90", + "bbox_points": [ + 53.46, + 463.41, + 62.3, + 471.42 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 64.24, + 463.41, + 75.05, + 471.42 + ] + }, + { + "text": "Manual", + "bbox_points": [ + 77.45, + 463.41, + 105.16, + 471.42 + ] + }, + { + "text": "shaking", + "bbox_points": [ + 107.49, + 463.41, + 135.37, + 471.42 + ] + }, + { + "text": "–", + "bbox_points": [ + 147.46, + 463.13, + 151.46, + 471.13 + ] + }, + { + "text": "312", + "bbox_points": [ + 153.86, + 463.41, + 167.11, + 471.43 + ] + }, + { + "text": "mL;", + "bbox_points": [ + 169.06, + 463.41, + 183.71, + 471.43 + ] + }, + { + "text": "35", + "bbox_points": [ + 186.07, + 463.41, + 194.9, + 471.43 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 196.84, + 463.41, + 207.65, + 471.43 + ] + }, + { + "text": "HRT", + "bbox_points": [ + 210.05, + 463.41, + 227.62, + 471.43 + ] + }, + { + "text": "¼", + "bbox_points": [ + 229.15, + 463.13, + 235.31, + 471.13 + ] + }, + { + "text": "21", + "bbox_points": [ + 236.86, + 463.41, + 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"pretreatments,", + "bbox_points": [ + 374.74, + 200.86, + 426.02, + 208.88 + ] + }, + { + "text": "respectively;", + "bbox_points": [ + 428.37, + 200.86, + 472.78, + 208.88 + ] + }, + { + "text": "sCOD", + "bbox_points": [ + 475.14, + 200.86, + 497.36, + 208.88 + ] + } + ] + }, + { + "text": "– 0.07–0.2 g NaOH/g TS; 24 h removal were 20.6, 23, and 36.5% in", + "bbox_points": [ + 64.01, + 211.07, + 505.91, + 219.37 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 64.01, + 211.07, + 68.01, + 219.07 + ] + }, + { + "text": "0.07–0.2", + "bbox_points": [ + 70.41, + 211.07, + 100.41, + 219.37 + ] + }, + { + "text": "g", + "bbox_points": [ + 102.39, + 211.35, + 106.39, + 219.37 + ] + }, + { + "text": "NaOH/g", + "bbox_points": [ + 108.74, + 211.35, + 140.96, + 219.37 + ] + }, + { + "text": "TS;", + "bbox_points": [ + 143.32, + 211.35, + 155.39, + 219.37 + ] + }, + { + "text": "24", + "bbox_points": [ + 157.78, + 211.35, + 166.61, + 219.37 + ] + }, + { + "text": "h", + "bbox_points": 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"caused", + "bbox_points": [ + 466.07, + 242.87, + 490.71, + 250.89 + ] + }, + { + "text": "by", + "bbox_points": [ + 493.06, + 242.87, + 501.48, + 250.89 + ] + } + ] + }, + { + "text": "MW; NaOH improved solubilization", + "bbox_points": [ + 374.74, + 253.36, + 507.06, + 261.37 + ], + "words": [ + { + "text": "MW;", + "bbox_points": [ + 374.74, + 253.36, + 393.14, + 261.37 + ] + }, + { + "text": "NaOH", + "bbox_points": [ + 395.49, + 253.36, + 420.14, + 261.37 + ] + }, + { + "text": "improved", + "bbox_points": [ + 422.48, + 253.36, + 456.28, + 261.37 + ] + }, + { + "text": "solubilization", + "bbox_points": [ + 458.65, + 253.36, + 507.06, + 261.37 + ] + } + ] + }, + { + "text": "in hybrid pretreatment", + "bbox_points": [ + 374.74, + 263.9, + 455.73, + 271.92 + ], + "words": [ + { + "text": "in", + "bbox_points": [ + 374.74, + 263.9, + 381.81, + 271.92 + ] + }, + { + "text": "hybrid", + "bbox_points": [ + 384.15, + 263.9, + 407.38, + 271.92 + ] + }, + { + "text": "pretreatment", + 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T ¼ – 4.5 L; 37 °C; HRT ¼ NaOH/L sCOD 3.0%); Highest relative Ahn", + "bbox_points": [ + 73.99, + 288.11, + 541.43, + 296.41 + ], + "words": [ + { + "text": "Reaction", + "bbox_points": [ + 73.99, + 288.39, + 105.59, + 296.41 + ] + }, + { + "text": "System,", + "bbox_points": [ + 107.94, + 288.39, + 135.26, + 296.41 + ] + }, + { + "text": "max.", + "bbox_points": [ + 137.6, + 288.39, + 154.92, + 296.41 + ] + }, + { + "text": "T", + "bbox_points": [ + 157.27, + 288.29, + 162.01, + 296.29 + ] + }, + { + "text": "¼", + "bbox_points": [ + 163.62, + 288.11, + 169.78, + 296.11 + ] + }, + { + "text": "–", + "bbox_points": [ + 196.1, + 288.11, + 200.1, + 296.11 + ] + }, + { + "text": "4.5", + "bbox_points": [ + 202.51, + 288.39, + 213.34, + 296.41 + ] + }, + { + "text": "L;", + "bbox_points": [ + 215.27, + 288.39, + 222.92, + 296.41 + ] + }, + { + "text": "37", + "bbox_points": [ + 225.3, + 288.39, + 234.13, + 296.41 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 236.13, + 288.39, + 246.94, + 296.41 + ] + }, + { + "text": "HRT", + "bbox_points": [ + 249.34, + 288.39, + 266.91, + 296.41 + ] + }, + { + "text": "¼", + "bbox_points": [ + 268.44, + 288.11, + 274.6, + 296.11 + ] + }, + { + "text": "NaOH/L", + "bbox_points": [ + 297.98, + 288.39, + 331.43, + 296.41 + ] + }, + { + "text": "sCOD", + "bbox_points": [ + 374.74, + 288.39, + 396.91, + 296.41 + ] + }, + { + "text": "3.0%);", + "bbox_points": [ + 399.29, + 288.39, + 422.19, + 296.41 + ] + }, + { + "text": "Highest", + "bbox_points": [ + 424.52, + 288.39, + 452.27, + 296.41 + ] + }, + { + "text": "relative", + "bbox_points": [ + 454.68, + 288.39, + 480.85, + 296.41 + ] + }, + { + "text": "Ahn", + "bbox_points": [ + 525.94, + 288.39, + 541.43, + 296.41 + ] + } + ] + }, + { + "text": "330 °C, max. P ¼ 102 atm, max. 15, 10, 7, 5 days; improvement in 5-day HRT; CST (2013)", + "bbox_points": [ + 73.99, + 298.6, + 549.09, + 306.9 + ], + "words": [ + { + "text": "330", + "bbox_points": [ + 73.99, + 298.88, + 87.23, + 306.9 + ] + }, + { + "text": "°C,", + "bbox_points": [ + 89.18, + 298.88, + 99.67, + 306.9 + ] + }, + { + "text": "max.", + "bbox_points": [ + 102.05, + 298.88, + 119.37, + 306.9 + ] + }, + { + "text": "P", + "bbox_points": [ + 121.72, + 298.78, + 127.05, + 306.78 + ] + }, + { + "text": "¼", + "bbox_points": [ + 128.64, + 298.6, + 134.8, + 306.6 + ] + }, + { + "text": "102", + "bbox_points": [ + 136.35, + 298.88, + 149.6, + 306.9 + ] + }, + { + "text": "atm,", + "bbox_points": [ + 151.6, + 298.88, + 167.14, + 306.9 + ] + }, + { + "text": "max.", + "bbox_points": [ + 169.51, + 298.88, + 186.83, + 306.9 + ] + }, + { + "text": "15,", + "bbox_points": [ + 206.08, + 298.88, + 216.91, + 306.9 + ] + }, + { + "text": "10,", + "bbox_points": [ + 219.29, + 298.88, + 230.12, + 306.9 + ] + }, + { + "text": "7,", + "bbox_points": [ + 232.5, + 298.88, + 238.92, + 306.9 + ] + }, + { + "text": "5", + "bbox_points": [ + 241.29, + 298.88, + 245.7, + 306.9 + ] + }, + { + "text": "days;", + "bbox_points": [ + 248.09, + 298.88, + 266.11, + 306.9 + ] + }, + { + "text": "improvement", + "bbox_points": [ + 374.74, + 298.88, + 422.29, + 306.9 + ] + }, + { + "text": "in", + "bbox_points": [ + 424.63, + 298.88, + 431.7, + 306.9 + ] + }, + { + "text": "5-day", + "bbox_points": [ + 434.1, + 298.88, + 453.12, + 306.9 + ] + }, + { + "text": "HRT;", + "bbox_points": [ + 455.53, + 298.88, + 475.43, + 306.9 + ] + }, + { + "text": "CST", + "bbox_points": [ + 477.75, + 298.88, + 493.24, + 306.9 + ] + }, + { + "text": "(2013)", + "bbox_points": [ + 525.94, + 298.88, + 549.09, + 306.89 + ] + } + ] + }, + { + "text": "Power ¼ 1,600 W); Vessels OLR ¼ 0.83, 1.24, was higher in digestate of control", + "bbox_points": [ + 73.99, + 309.09, + 494.3, + 317.39 + ], + "words": [ + { + "text": "Power", + "bbox_points": [ + 73.99, + 309.37, + 96.49, + 317.39 + ] + }, + { + "text": "¼", + "bbox_points": [ + 98.08, + 309.09, + 104.24, + 317.09 + ] + }, + { + "text": "1,600", + "bbox_points": [ + 105.79, + 309.37, + 125.46, + 317.39 + ] + }, + { + "text": "W);", + "bbox_points": [ + 127.39, + 309.37, + 140.79, + 317.39 + ] + }, + { + "text": "Vessels", + "bbox_points": [ + 143.21, + 309.37, + 169.3, + 317.39 + ] + }, + { + "text": "OLR", + "bbox_points": [ + 206.08, + 309.37, + 223.73, + 317.38 + ] + }, + { + "text": "¼", + "bbox_points": [ + 225.3, + 309.09, + 231.46, + 317.09 + ] + }, + { + "text": "0.83,", + "bbox_points": [ + 233.01, + 309.37, + 250.26, + 317.38 + ] + }, + { + "text": "1.24,", + "bbox_points": [ + 252.63, + 309.37, + 269.87, + 317.38 + ] + }, + { + "text": "was", + "bbox_points": [ + 374.74, + 309.37, + 388.35, + 317.38 + ] + }, + { + "text": "higher", + "bbox_points": [ + 390.73, + 309.37, + 413.71, + 317.38 + ] + }, + { + "text": "in", + "bbox_points": [ + 416.07, + 309.37, + 423.14, + 317.38 + ] + }, + { + "text": "digestate", + "bbox_points": [ + 425.54, + 309.37, + 456.72, + 317.38 + ] + }, + { + "text": "of", + "bbox_points": [ + 459.1, + 309.37, + 466.17, + 317.38 + ] + }, + { + "text": "control", + "bbox_points": [ + 468.57, + 309.37, + 494.3, + 317.38 + ] + } + ] + }, + { + "text": "16 mm radius; 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holding time 10 min; VS/L day raw sludge; no improvement in", + "bbox_points": [ + 73.99, + 330.4, + 486.58, + 338.42 + ], + "words": [ + { + "text": "135", + "bbox_points": [ + 73.99, + 330.4, + 87.23, + 338.42 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 89.18, + 330.4, + 100.0, + 338.42 + ] + }, + { + "text": "holding", + "bbox_points": [ + 102.39, + 330.4, + 129.69, + 338.42 + ] + }, + { + "text": "time", + "bbox_points": [ + 132.04, + 330.4, + 147.94, + 338.42 + ] + }, + { + "text": "10", + "bbox_points": [ + 150.3, + 330.4, + 159.13, + 338.42 + ] + }, + { + "text": "min;", + "bbox_points": [ + 161.12, + 330.4, + 177.52, + 338.42 + ] + }, + { + "text": "VS/L", + "bbox_points": [ + 206.08, + 330.4, + 225.73, + 338.42 + ] + }, + { + "text": "day", + "bbox_points": [ + 227.68, + 330.4, + 240.24, + 338.42 + ] + }, + { + "text": "raw", + "bbox_points": [ + 374.74, + 330.4, + 388.04, + 338.42 + ] + }, + { + "text": "sludge;", + "bbox_points": [ + 390.39, + 330.4, + 415.53, + 338.42 + ] + }, + { + "text": "no", + "bbox_points": [ + 417.89, + 330.4, + 427.21, + 338.42 + ] + }, + { + "text": "improvement", + "bbox_points": [ + 429.62, + 330.4, + 477.17, + 338.42 + ] + }, + { + "text": "in", + "bbox_points": [ + 479.51, + 330.4, + 486.58, + 338.42 + ] + } + ] + }, + { + "text": "20 meq NaOH/L digested sludge dewaterability", + "bbox_points": [ + 73.99, + 340.89, + 481.63, + 348.91 + ], + "words": [ + { + "text": "20", + "bbox_points": [ + 73.99, + 340.89, + 82.82, + 348.91 + ] + }, + { + "text": "meq", + "bbox_points": [ + 84.82, + 340.89, + 100.23, + 348.91 + ] + }, + { + "text": "NaOH/L", + "bbox_points": [ + 102.56, + 340.89, + 136.11, + 348.91 + ] + }, + { + "text": "digested", + "bbox_points": [ + 374.74, + 340.89, + 403.92, + 348.9 + ] + }, + { + "text": "sludge", + "bbox_points": [ + 406.26, + 340.89, + 429.07, + 348.9 + ] + }, + { + "text": "dewaterability", + "bbox_points": [ + 431.43, + 340.89, + 481.63, + 348.9 + ] + } + ] + }, + { + "text": "MW (900 W, 2,450 MHz) Aerobic digestion MW – MW, conventional heat and alkali Chang et al.", + "bbox_points": [ + 64.01, + 354.62, + 561.33, + 362.92 + ], + "words": [ + { + "text": "MW", + "bbox_points": [ + 64.01, + 354.89, + 80.08, + 362.91 + ] + }, + { + "text": "(900", + "bbox_points": [ + 82.43, + 354.89, + 98.43, + 362.91 + ] + }, + { + "text": "W,", + "bbox_points": [ + 100.35, + 354.89, + 110.34, + 362.91 + ] + }, + { + "text": "2,450", + "bbox_points": [ + 112.76, + 354.89, + 132.43, + 362.91 + ] + }, + { + "text": "MHz)", + "bbox_points": [ + 134.36, + 354.89, + 155.85, + 362.91 + ] + }, + { + "text": "Aerobic", + "bbox_points": [ + 196.11, + 354.89, + 224.35, + 362.9 + ] + }, + { + "text": "digestion", + "bbox_points": [ + 226.72, + 354.89, + 258.97, + 362.9 + ] + }, + { + "text": "MW", + "bbox_points": [ + 287.95, + 354.89, + 304.02, + 362.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 364.71, + 354.62, + 368.71, + 362.62 + ] + }, + { + "text": "MW,", + "bbox_points": [ + 371.11, + 354.9, + 388.82, + 362.92 + ] + }, + { + "text": "conventional", + "bbox_points": [ + 391.18, + 354.9, + 437.93, + 362.92 + ] + }, + { + "text": "heat", + "bbox_points": [ + 440.28, + 354.9, + 455.55, + 362.92 + ] + }, + { + "text": "and", + "bbox_points": [ + 457.96, + 354.9, + 471.44, + 362.92 + ] + }, + { + "text": "alkali", + "bbox_points": [ + 473.84, + 354.9, + 493.72, + 362.92 + ] + }, + { + "text": "Chang", + "bbox_points": [ + 517.95, + 354.9, + 541.34, + 362.91 + ] + }, + { + "text": "et", + "bbox_points": [ + 543.68, + 354.8, + 550.0, + 362.8 + ] + }, + { + "text": "al.", + "bbox_points": [ + 552.41, + 354.8, + 561.33, + 362.91 + ] + } + ] + }, + { + "text": "– 300, 450, 600 W; 85 °C; (Batch) – 600 W; 85 °C; pretreatments achieved 8.5, 7, and (2011)", + "bbox_points": [ + 64.01, + 365.09, + 549.09, + 373.4 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 64.01, + 365.1, + 68.01, + 373.1 + ] + }, + { + "text": "300,", + "bbox_points": [ + 70.42, + 365.38, + 85.66, + 373.39 + ] + }, + { + "text": "450,", + "bbox_points": [ + 87.99, + 365.38, + 103.24, + 373.39 + ] + }, + { + "text": "600", + "bbox_points": [ + 105.62, + 365.38, + 118.87, + 373.39 + ] + }, + { + "text": "W;", + "bbox_points": [ + 120.82, + 365.38, + 131.47, + 373.39 + ] + }, + { + "text": "85", + "bbox_points": [ + 133.85, + 365.38, + 142.69, + 373.39 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 144.63, + 365.38, + 155.44, + 373.39 + ] + }, + { + "text": "(Batch)", + "bbox_points": [ + 204.1, + 365.38, + 230.47, + 373.39 + ] + }, + { + "text": "–", + "bbox_points": [ + 287.95, + 365.09, + 291.95, + 373.09 + ] + }, + { + "text": "600", + "bbox_points": [ + 294.35, + 365.37, + 307.6, + 373.39 + ] + }, + { + "text": "W;", + "bbox_points": [ + 309.55, + 365.37, + 320.2, + 373.39 + ] + }, + { + "text": "85", + "bbox_points": [ + 322.59, + 365.37, + 331.42, + 373.39 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 333.36, + 365.37, + 344.17, + 373.39 + ] + }, + { + "text": "pretreatments", + "bbox_points": [ + 374.74, + 365.39, + 424.02, + 373.4 + ] + }, + { + "text": "achieved", + "bbox_points": [ + 426.39, + 365.39, + 457.98, + 373.4 + ] + }, + { + "text": "8.5,", + "bbox_points": [ + 460.35, + 365.39, + 473.18, + 373.4 + ] + }, + { + "text": "7,", + "bbox_points": [ + 475.54, + 365.39, + 481.96, + 373.4 + ] + }, + { + "text": "and", + "bbox_points": [ + 484.33, + 365.39, + 497.81, + 373.4 + ] + }, + { + "text": "(2011)", + "bbox_points": [ + 525.94, + 365.39, + 549.09, + 373.4 + ] + } + ] + }, + { + "text": "0.5–4 min – 1.6 L; Dissolved 2 min 18% COD solubilization,", + "bbox_points": [ + 73.99, + 375.58, + 464.49, + 383.89 + ], + "words": [ + { + "text": "0.5–4", + "bbox_points": [ + 73.99, + 375.59, + 93.2, + 383.88 + ] + }, + { + "text": "min", + "bbox_points": [ + 95.19, + 375.87, + 109.26, + 383.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 204.1, + 375.58, + 208.1, + 383.58 + ] + }, + { + "text": "1.6", + "bbox_points": [ + 210.51, + 375.86, + 221.34, + 383.88 + ] + }, + { + "text": "L;", + "bbox_points": [ + 223.26, + 375.86, + 230.92, + 383.88 + ] + }, + { + "text": "Dissolved", + "bbox_points": [ + 233.3, + 375.86, + 268.29, + 383.88 + ] + }, + { + "text": "2", + "bbox_points": [ + 297.98, + 375.86, + 302.4, + 383.88 + ] + }, + { + "text": "min", + "bbox_points": [ + 304.33, + 375.86, + 318.4, + 383.88 + ] + }, + { + "text": "18%", + "bbox_points": [ + 374.74, + 375.88, + 390.57, + 383.89 + ] + }, + { + "text": "COD", + "bbox_points": [ + 392.88, + 375.88, + 411.81, + 383.89 + ] + }, + { + "text": "solubilization,", + "bbox_points": [ + 414.14, + 375.88, + 464.49, + 383.89 + ] + } + ] + }, + { + "text": "Alkali oxygen (DO) . Alkali respectively; MW þ alkali achieved", + "bbox_points": [ + 64.01, + 386.07, + 500.39, + 394.38 + ], + "words": [ + { + "text": "Alkali", + "bbox_points": [ + 64.01, + 386.35, + 85.73, + 394.37 + ] + }, + { + "text": "oxygen", + "bbox_points": [ + 204.1, + 386.35, + 229.58, + 394.37 + ] + }, + { + "text": "(DO)", + "bbox_points": [ + 231.94, + 386.35, + 250.74, + 394.37 + ] + }, + { + "text": ".", + "bbox_points": [ + 252.29, + 386.07, + 258.95, + 394.07 + ] + }, + { + "text": "Alkali", + "bbox_points": [ + 287.95, + 386.35, + 309.67, + 394.37 + ] + }, + { + "text": "respectively;", + "bbox_points": [ + 374.74, + 386.36, + 419.09, + 394.38 + ] + }, + { + "text": "MW", + "bbox_points": [ + 421.46, + 386.36, + 437.53, + 394.38 + ] + }, + { + "text": "þ", + "bbox_points": [ + 439.09, + 386.08, + 445.25, + 394.08 + ] + }, + { + "text": "alkali", + "bbox_points": [ + 446.57, + 386.36, + 466.45, + 394.38 + ] + }, + { + "text": "achieved", + "bbox_points": [ + 468.79, + 386.36, + 500.39, + 394.38 + ] + } + ] + }, + { + "text": "– pH 8–13; 30 min 2 mg/L; 30 days; – 1.5 g NaOH/L; 46% COD solubilization; AD of", + "bbox_points": [ + 64.01, + 396.62, + 489.24, + 404.93 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 64.01, + 396.62, + 68.01, + 404.62 + ] + }, + { + "text": "pH", + "bbox_points": [ + 70.42, + 396.9, + 81.99, + 404.91 + ] + }, + { + "text": "8–13;", + "bbox_points": [ + 84.36, + 396.62, + 103.91, + 404.91 + ] + }, + { + "text": "30", + "bbox_points": [ + 106.25, + 396.9, + 115.08, + 404.91 + ] + }, + { + "text": "min", + "bbox_points": [ + 117.07, + 396.9, + 131.15, + 404.91 + ] + }, + { + "text": "2", + "bbox_points": [ + 204.1, + 396.9, + 208.51, + 404.91 + ] + }, + { + "text": "mg/L;", + "bbox_points": [ + 210.51, + 396.9, + 232.74, + 404.91 + ] + }, + { + "text": "30", + "bbox_points": [ + 235.05, + 396.9, + 243.88, + 404.91 + ] + }, + { + "text": "days;", + "bbox_points": [ + 246.28, + 396.9, + 264.29, + 404.91 + ] + }, + { + "text": "–", + "bbox_points": [ + 287.94, + 396.63, + 291.94, + 404.63 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 294.35, + 396.91, + 305.18, + 404.93 + ] + }, + { + "text": "g", + "bbox_points": [ + 307.16, + 396.91, + 311.16, + 404.93 + ] + }, + { + "text": "NaOH/L;", + "bbox_points": [ + 313.51, + 396.91, + 349.39, + 404.93 + ] + }, + { + "text": "46%", + "bbox_points": [ + 374.74, + 396.91, + 390.57, + 404.92 + ] + }, + { + "text": "COD", + "bbox_points": [ + 392.88, + 396.91, + 411.81, + 404.92 + ] + }, + { + "text": "solubilization;", + "bbox_points": [ + 414.14, + 396.91, + 464.82, + 404.92 + ] + }, + { + "text": "AD", + "bbox_points": [ + 467.21, + 396.91, + 479.78, + 404.92 + ] + }, + { + "text": "of", + "bbox_points": [ + 482.17, + 396.91, + 489.24, + 404.92 + ] + } + ] + }, + { + "text": "Conventional Heating 25 °C pH 12; 30 min MW þ alkali pretreated sludge had", + "bbox_points": [ + 64.01, + 407.12, + 499.34, + 415.41 + ], + "words": [ + { + "text": "Conventional", + "bbox_points": [ + 64.01, + 407.39, + 112.26, + 415.4 + ] + }, + { + "text": "Heating", + "bbox_points": [ + 114.69, + 407.39, + 143.25, + 415.4 + ] + }, + { + "text": "25", + "bbox_points": [ + 204.1, + 407.38, + 212.93, + 415.4 + ] + }, + { + "text": "°C", + "bbox_points": [ + 214.87, + 407.38, + 223.36, + 415.4 + ] + }, + { + "text": "pH", + "bbox_points": [ + 297.98, + 407.4, + 309.55, + 415.41 + ] + }, + { + "text": "12;", + "bbox_points": [ + 311.92, + 407.4, + 323.08, + 415.41 + ] + }, + { + "text": "30", + "bbox_points": [ + 325.42, + 407.4, + 334.25, + 415.41 + ] + }, + { + "text": "min", + "bbox_points": [ + 336.24, + 407.4, + 350.32, + 415.41 + ] + }, + { + "text": "MW", + "bbox_points": [ + 374.74, + 407.4, + 390.81, + 415.41 + ] + }, + { + "text": "þ", + "bbox_points": [ + 392.31, + 407.12, + 398.47, + 415.12 + ] + }, + { + "text": "alkali", + "bbox_points": [ + 399.8, + 407.4, + 419.68, + 415.41 + ] + }, + { + "text": "pretreated", + "bbox_points": [ + 422.08, + 407.4, + 458.29, + 415.41 + ] + }, + { + "text": "sludge", + "bbox_points": [ + 460.69, + 407.4, + 483.49, + 415.41 + ] + }, + { + "text": "had", + "bbox_points": [ + 485.86, + 407.4, + 499.34, + 415.41 + ] + } + ] + }, + { + "text": "– 80 °C; 12 min 93 and 63% reductions in sCOD and", + "bbox_points": [ + 64.01, + 417.59, + 507.5, + 425.9 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 64.01, + 417.59, + 68.01, + 425.59 + ] + }, + { + "text": "80", + "bbox_points": [ + 70.42, + 417.87, + 79.25, + 425.89 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 81.19, + 417.87, + 92.0, + 425.89 + ] + }, + { + "text": "12", + "bbox_points": [ + 94.4, + 417.87, + 103.23, + 425.89 + ] + }, + { + "text": "min", + "bbox_points": [ + 105.17, + 417.87, + 119.24, + 425.89 + ] + }, + { + "text": "93", + "bbox_points": [ + 374.74, + 417.88, + 383.57, + 425.9 + ] + }, + { + "text": "and", + "bbox_points": [ + 385.91, + 417.88, + 399.39, + 425.9 + ] + }, + { + "text": "63%", + "bbox_points": [ + 401.78, + 417.88, + 417.61, + 425.9 + ] + }, + { + "text": "reductions", + "bbox_points": [ + 419.98, + 417.88, + 457.63, + 425.9 + ] + }, + { + "text": "in", + "bbox_points": [ + 460.01, + 417.88, + 467.08, + 425.9 + ] + }, + { + "text": "sCOD", + "bbox_points": [ + 469.47, + 417.88, + 491.64, + 425.9 + ] + }, + { + "text": "and", + "bbox_points": [ + 494.02, + 417.88, + 507.5, + 425.9 + ] + } + ] + }, + { + "text": "MW +Alkali/Alkali + MW VSS concentrations, respectively", + "bbox_points": [ + 64.01, + 428.08, + 492.1, + 436.39 + ], + "words": [ + { + "text": "MW", + "bbox_points": [ + 64.01, + 428.36, + 80.08, + 436.38 + ] + }, + { + "text": "+Alkali/Alkali", + "bbox_points": [ + 81.64, + 428.08, + 137.43, + 436.38 + ] + }, + { + "text": "+", + "bbox_points": [ + 139.01, + 428.08, + 147.01, + 436.08 + ] + }, + { + "text": "MW", + "bbox_points": [ + 148.54, + 428.36, + 164.61, + 436.38 + ] + }, + { + "text": "VSS", + "bbox_points": [ + 374.74, + 428.37, + 390.23, + 436.39 + ] + }, + { + "text": "concentrations,", + "bbox_points": [ + 392.54, + 428.37, + 447.7, + 436.39 + ] + }, + { + "text": "respectively", + "bbox_points": [ + 450.03, + 428.37, + 492.1, + 436.39 + ] + } + ] + }, + { + "text": "– 1.5 g NaOH/L, 10 min; 600 W,", + "bbox_points": [ + 64.01, + 438.57, + 182.18, + 446.87 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 64.01, + 438.57, + 68.01, + 446.57 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 70.42, + 438.85, + 81.25, + 446.87 + ] + }, + { + "text": "g", + "bbox_points": [ + 83.17, + 438.85, + 87.17, + 446.87 + ] + }, + { + "text": "NaOH/L,", + "bbox_points": [ + 89.58, + 438.85, + 125.03, + 446.87 + ] + }, + { + "text": "10", + "bbox_points": [ + 127.45, + 438.85, + 136.28, + 446.87 + ] + }, + { + "text": "min;", + "bbox_points": [ + 138.22, + 438.85, + 154.62, + 446.87 + ] + }, + { + "text": "600", + "bbox_points": [ + 156.99, + 438.85, + 170.24, + 446.87 + ] + }, + { + "text": "W,", + "bbox_points": [ + 172.18, + 438.85, + 182.18, + 446.87 + ] + } + ] + }, + { + "text": "2 min", + "bbox_points": [ + 73.99, + 449.39, + 94.47, + 457.41 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 73.99, + 449.39, + 78.41, + 457.41 + ] + }, + { + "text": "min", + "bbox_points": [ + 80.4, + 449.39, + 94.47, + 457.41 + ] + } + ] + }, + { + "text": "MW Digestion System, T ¼ 100– Batch – 170 °C; 1 min; – 85.1% VSS solubilization at 210 °C Chi et al.", + "bbox_points": [ + 64.01, + 463.12, + 550.78, + 471.42 + ], + "words": [ + { + "text": "MW", + "bbox_points": [ + 64.01, + 463.41, + 80.08, + 471.42 + ] + }, + { + "text": "Digestion", + "bbox_points": [ + 82.43, + 463.41, + 116.67, + 471.42 + ] + }, + { + "text": "System,", + "bbox_points": [ + 119.06, + 463.41, + 146.37, + 471.42 + ] + }, + { + "text": "T", + "bbox_points": [ + 148.71, + 463.41, + 153.71, + 471.42 + ] + }, + { + "text": "¼", + "bbox_points": [ + 155.28, + 463.13, + 161.44, + 471.13 + ] + }, + { + "text": "100–", + "bbox_points": [ + 162.99, + 463.13, + 180.2, + 471.42 + ] + }, + { + "text": "Batch", + "bbox_points": [ + 196.1, + 463.41, + 216.95, + 471.42 + ] + }, + { + "text": "–", + "bbox_points": [ + 287.94, + 463.12, + 291.94, + 471.12 + ] + }, + { + "text": "170", + "bbox_points": [ + 294.35, + 463.4, + 307.6, + 471.42 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 309.54, + 463.4, + 320.36, + 471.42 + ] + }, + { + "text": "1", + "bbox_points": [ + 322.75, + 463.4, + 327.17, + 471.42 + ] + }, + { + "text": "min;", + "bbox_points": [ + 329.16, + 463.4, + 345.56, + 471.42 + ] + }, + { + "text": "–", + "bbox_points": [ + 364.71, + 463.12, + 368.71, + 471.12 + ] + }, + { + "text": "85.1%", + "bbox_points": [ + 371.11, + 463.4, + 393.36, + 471.42 + ] + }, + { + "text": "VSS", + "bbox_points": [ + 395.66, + 463.4, + 411.15, + 471.42 + ] + }, + { + "text": "solubilization", + "bbox_points": [ + 413.52, + 463.4, + 461.93, + 471.42 + ] + }, + { + "text": "at", + "bbox_points": [ + 464.26, + 463.4, + 470.86, + 471.42 + ] + }, + { + "text": "210", + "bbox_points": [ + 473.27, + 463.4, + 486.52, + 471.42 + ] + }, + { + "text": "°C", + "bbox_points": [ + 488.47, + 463.4, + 496.96, + 471.42 + ] + }, + { + "text": "Chi", + "bbox_points": [ + 517.95, + 463.4, + 530.76, + 471.42 + ] + }, + { + "text": "et", + "bbox_points": [ + 533.14, + 463.3, + 539.46, + 471.3 + ] + }, + { + "text": "al.", + "bbox_points": [ + 541.87, + 463.3, + 550.78, + 471.3 + ] + } + ] + }, + { + "text": "230 °C, max. P ¼ 4.053 Mega – 120 mL; 55 °C; 30 0.05 g NaOH/g with 0.2 g NaOH/g SS and 35 min (2011)", + "bbox_points": [ + 73.98, + 473.61, + 549.09, + 481.91 + ], + "words": [ + { + "text": "230", + "bbox_points": [ + 73.98, + 473.9, + 87.23, + 481.91 + ] + }, + { + "text": "°C,", + "bbox_points": [ + 89.18, + 473.9, + 99.67, + 481.91 + ] + }, + { + "text": "max.", + "bbox_points": [ + 102.05, + 473.9, + 119.37, + 481.91 + ] + }, + { + "text": "P", + "bbox_points": [ + 121.72, + 473.9, + 126.72, + 481.91 + ] + }, + { + "text": "¼", + "bbox_points": [ + 128.3, + 473.62, + 134.46, + 481.62 + ] + }, + { + "text": "4.053", + "bbox_points": [ + 136.06, + 473.9, + 155.73, + 481.91 + ] + }, + { + "text": "Mega", + "bbox_points": [ + 157.61, + 473.9, + 177.51, + 481.91 + ] + }, + { + "text": "–", + "bbox_points": [ + 196.1, + 473.61, + 200.1, + 481.61 + ] + }, + { + "text": "120", + "bbox_points": [ + 202.51, + 473.89, + 215.76, + 481.91 + ] + }, + { + "text": "mL;", + "bbox_points": [ + 217.7, + 473.89, + 232.36, + 481.91 + ] + }, + { + "text": "55", + "bbox_points": [ + 234.71, + 473.89, + 243.54, + 481.91 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 245.48, + 473.89, + 256.3, + 481.91 + ] + }, + { + "text": "30", + "bbox_points": [ + 258.69, + 473.89, + 267.52, + 481.91 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 297.98, + 473.89, + 313.23, + 481.91 + ] + }, + { + "text": "g", + "bbox_points": [ + 315.16, + 473.89, + 319.16, + 481.91 + ] + }, + { + "text": "NaOH/g", + "bbox_points": [ + 321.56, + 473.89, + 353.69, + 481.91 + ] + }, + { + "text": "with", + "bbox_points": [ + 374.74, + 473.89, + 390.72, + 481.91 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 393.05, + 473.89, + 403.88, + 481.91 + ] + }, + { + "text": "g", + "bbox_points": [ + 405.87, + 473.89, + 409.87, + 481.91 + ] + }, + { + "text": "NaOH/g", + "bbox_points": [ + 412.27, + 473.89, + 444.4, + 481.91 + ] + }, + { + "text": "SS", + "bbox_points": [ + 446.8, + 473.89, + 456.29, + 481.91 + ] + }, + { + "text": "and", + "bbox_points": [ + 458.65, + 473.89, + 472.13, + 481.91 + ] + }, + { + "text": "35", + "bbox_points": [ + 474.52, + 473.89, + 483.35, + 481.91 + ] + }, + { + "text": "min", + "bbox_points": [ + 485.35, + 473.89, + 499.42, + 481.91 + ] + }, + { + "text": "(2011)", + "bbox_points": [ + 525.94, + 473.89, + 549.09, + 481.91 + ] + } + ] + }, + { + "text": "Pascal (MPa), max. 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In sCSTR, VS and", + "bbox_points": [ + 73.98, + 494.59, + 507.84, + 502.89 + ], + "words": [ + { + "text": "1,450", + "bbox_points": [ + 73.98, + 494.87, + 93.65, + 502.89 + ] + }, + { + "text": "W)", + "bbox_points": [ + 95.58, + 494.87, + 106.66, + 502.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 196.1, + 494.59, + 200.1, + 502.59 + ] + }, + { + "text": "sCSTR", + "bbox_points": [ + 202.51, + 494.87, + 226.9, + 502.89 + ] + }, + { + "text": "(170", + "bbox_points": [ + 229.21, + 494.87, + 245.2, + 502.89 + ] + }, + { + "text": "°C,", + "bbox_points": [ + 247.18, + 494.87, + 257.67, + 502.89 + ] + }, + { + "text": "improved", + "bbox_points": [ + 374.74, + 494.87, + 408.55, + 502.88 + ] + }, + { + "text": "by", + "bbox_points": [ + 410.91, + 494.87, + 419.33, + 502.88 + ] + }, + { + "text": "27%;", + "bbox_points": [ + 421.74, + 494.87, + 439.9, + 502.88 + ] + }, + { + "text": "In", + "bbox_points": [ + 442.21, + 494.87, + 450.11, + 502.88 + ] + }, + { + "text": "sCSTR,", + "bbox_points": [ + 452.53, + 494.87, + 478.92, + 502.88 + ] + }, + { + "text": "VS", + "bbox_points": [ + 481.27, + 494.87, + 492.01, + 502.88 + ] + }, + { + "text": "and", + "bbox_points": [ + 494.36, + 494.87, + 507.84, + 502.88 + ] + } + ] + }, + { + "text": "– 110–210 °C; ramp time (9 min); 1 min, 0.05 g tCOD reduced by 28 and 18%,", + "bbox_points": [ + 64.01, + 505.08, + 485.32, + 513.38 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 64.01, + 505.08, + 68.01, + 513.08 + ] + }, + { + "text": "110–210", + "bbox_points": [ + 70.41, + 505.08, + 100.84, + 513.38 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 102.78, + 505.36, + 113.6, + 513.38 + ] + }, + { + "text": "ramp", + "bbox_points": [ + 115.99, + 505.36, + 134.73, + 513.38 + ] + }, + { + "text": "time", + "bbox_points": [ + 137.08, + 505.36, + 152.99, + 513.38 + ] + }, + { + "text": "(9", + "bbox_points": [ + 155.34, + 505.36, + 162.5, + 513.38 + ] + }, + { + "text": "min);", + "bbox_points": [ + 164.47, + 505.36, + 183.61, + 513.38 + ] + }, + { + "text": "1", + "bbox_points": [ + 206.08, + 505.36, + 210.5, + 513.37 + ] + }, + { + "text": "min,", + "bbox_points": [ + 212.49, + 505.36, + 228.56, + 513.37 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 230.91, + 505.36, + 246.16, + 513.37 + ] + }, + { + "text": "g", + "bbox_points": [ + 248.15, + 505.36, + 252.15, + 513.37 + ] + }, + { + "text": "tCOD", + "bbox_points": [ + 374.74, + 505.36, + 396.17, + 513.37 + ] + }, + { + "text": "reduced", + "bbox_points": [ + 398.55, + 505.36, + 427.28, + 513.37 + ] + }, + { + "text": "by", + "bbox_points": [ + 429.62, + 505.36, + 438.04, + 513.37 + ] + }, + { + "text": "28", + "bbox_points": [ + 440.39, + 505.36, + 449.22, + 513.37 + ] + }, + { + "text": "and", + "bbox_points": [ + 451.62, + 505.36, + 465.1, + 513.37 + ] + }, + { + "text": "18%,", + "bbox_points": [ + 467.49, + 505.36, + 485.32, + 513.37 + ] + } + ] + }, + { + "text": "holding time (1–51 min); NaOH/g SS) respectively; methane yields", + "bbox_points": [ + 73.98, + 515.62, + 475.41, + 523.92 + ], + "words": [ + { + "text": "holding", + "bbox_points": [ + 73.98, + 515.9, + 101.28, + 523.92 + ] + }, + { + "text": "time", + "bbox_points": [ + 103.63, + 515.9, + 119.54, + 523.92 + ] + }, + { + "text": "(1–51", + "bbox_points": [ + 121.89, + 515.62, + 141.89, + 523.92 + ] + }, + { + "text": "min);", + "bbox_points": [ + 143.83, + 515.9, + 162.97, + 523.92 + ] + }, + { + "text": "NaOH/g", + "bbox_points": [ + 206.08, + 515.9, + 238.3, + 523.92 + ] + }, + { + "text": "SS)", + "bbox_points": [ + 240.66, + 515.9, + 252.89, + 523.92 + ] + }, + { + "text": "respectively;", + "bbox_points": [ + 374.74, + 515.9, + 419.09, + 523.92 + ] + }, + { + "text": "methane", + "bbox_points": [ + 421.46, + 515.9, + 452.68, + 523.92 + ] + }, + { + "text": "yields", + "bbox_points": [ + 454.85, + 515.9, + 475.41, + 523.92 + ] + } + ] + }, + { + "text": "cooling time (1–30 min); 5 L; 55 °C; HRT 30 increased by 17% (L/g COD) and", + "bbox_points": [ + 73.99, + 526.11, + 495.65, + 534.41 + ], + "words": [ + { + "text": "cooling", + "bbox_points": [ + 73.99, + 526.39, + 100.54, + 534.41 + ] + }, + { + "text": "time", + "bbox_points": [ + 102.9, + 526.39, + 118.8, + 534.41 + ] + }, + { + "text": "(1–30", + "bbox_points": [ + 121.15, + 526.11, + 141.15, + 534.41 + ] + }, + { + "text": "min);", + "bbox_points": [ + 143.09, + 526.39, + 162.24, + 534.41 + ] + }, + { + "text": "5", + "bbox_points": [ + 196.1, + 526.39, + 200.52, + 534.41 + ] + }, + { + "text": "L;", + "bbox_points": [ + 202.51, + 526.39, + 210.16, + 534.41 + ] + }, + { + "text": "55", + "bbox_points": [ + 212.54, + 526.39, + 221.37, + 534.41 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 223.31, + 526.39, + 234.13, + 534.41 + ] + }, + { + "text": "HRT", + "bbox_points": [ + 236.52, + 526.39, + 254.1, + 534.41 + ] + }, + { + "text": "30", + "bbox_points": [ + 256.48, + 526.39, + 265.31, + 534.41 + ] + }, + { + "text": "increased", + "bbox_points": [ + 374.74, + 526.39, + 408.81, + 534.4 + ] + }, + { + "text": "by", + "bbox_points": [ + 411.19, + 526.39, + 419.61, + 534.4 + ] + }, + { + "text": "17%", + "bbox_points": [ + 421.97, + 526.39, + 437.8, + 534.4 + ] + }, + { + "text": "(L/g", + "bbox_points": [ + 440.16, + 526.39, + 455.81, + 534.4 + ] + }, + { + "text": "COD)", + "bbox_points": [ + 458.19, + 526.39, + 479.81, + 534.4 + ] + }, + { + "text": "and", + "bbox_points": [ + 482.17, + 526.39, + 495.65, + 534.4 + ] + } + ] + }, + { + "text": "0–2.5 g NaOH/g SS days 3 13% (L/g VS) in sCSTR", + "bbox_points": [ + 73.99, + 536.6, + 460.65, + 544.9 + ], + "words": [ + { + "text": "0–2.5", + "bbox_points": [ + 73.99, + 536.6, + 93.21, + 544.9 + ] + }, + { + "text": "g", + "bbox_points": [ + 95.19, + 536.88, + 99.19, + 544.9 + ] + }, + { + "text": "NaOH/g", + "bbox_points": [ + 101.6, + 536.88, + 133.72, + 544.9 + ] + }, + { + "text": "SS", + "bbox_points": [ + 136.12, + 536.88, + 145.61, + 544.9 + ] + }, + { + "text": "days", + "bbox_points": [ + 206.08, + 536.88, + 221.82, + 544.89 + ] + }, + { + "text": "3", + "bbox_points": [ + 230.34, + 536.88, + 234.76, + 544.89 + ] + }, + { + "text": "13%", + "bbox_points": [ + 374.74, + 536.88, + 390.57, + 544.89 + ] + }, + { + "text": "(L/g", + "bbox_points": [ + 392.88, + 536.88, + 408.53, + 544.89 + ] + }, + { + "text": "VS)", + "bbox_points": [ + 410.91, + 536.88, + 424.4, + 544.89 + ] + }, + { + "text": "in", + "bbox_points": [ + 426.79, + 536.88, + 433.86, + 544.89 + ] + }, + { + "text": "sCSTR", + "bbox_points": [ + 436.25, + 536.88, + 460.65, + 544.89 + ] + } + ] + }, + { + "text": "Alkaline – TS% 13; 24% – The highest DD value of 45.14% is Shi et al.", + "bbox_points": [ + 64.01, + 550.6, + 549.77, + 558.89 + ], + "words": [ + { + "text": "Alkaline", + "bbox_points": [ + 64.01, + 550.88, + 94.47, + 558.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 287.95, + 550.6, + 291.95, + 558.6 + ] + }, + { + "text": "TS%", + "bbox_points": [ + 294.35, + 550.88, + 311.1, + 558.89 + ] + }, + { + "text": "13;", + "bbox_points": [ + 313.46, + 550.88, + 324.62, + 558.89 + ] + }, + { + "text": "24%", + "bbox_points": [ + 326.95, + 550.88, + 342.78, + 558.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 364.71, + 550.6, + 368.71, + 558.6 + ] + }, + { + "text": "The", + "bbox_points": [ + 371.11, + 550.88, + 384.86, + 558.89 + ] + }, + { + "text": "highest", + "bbox_points": [ + 387.21, + 550.88, + 412.69, + 558.89 + ] + }, + { + "text": "DD", + "bbox_points": [ + 415.11, + 550.88, + 428.26, + 558.89 + ] + }, + { + "text": "value", + "bbox_points": [ + 430.64, + 550.88, + 449.87, + 558.89 + ] + }, + { + "text": "of", + "bbox_points": [ + 452.24, + 550.88, + 459.31, + 558.89 + ] + }, + { + "text": "45.14%", + "bbox_points": [ + 461.71, + 550.88, + 488.37, + 558.89 + ] + }, + { + "text": "is", + "bbox_points": [ + 490.68, + 550.88, + 496.34, + 558.89 + ] + }, + { + "text": "Shi", + "bbox_points": [ + 517.95, + 550.88, + 529.76, + 558.89 + ] + }, + { + "text": "et", + "bbox_points": [ + 532.18, + 550.78, + 538.5, + 558.78 + ] + }, + { + "text": "al.", + "bbox_points": [ + 540.85, + 550.78, + 549.77, + 558.89 + ] + } + ] + }, + { + "text": "– 1–31% Alkaline reagent alkaline obtained with the highest sludge (2015)", + "bbox_points": [ + 64.01, + 561.09, + 549.09, + 569.38 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 64.01, + 561.09, + 68.01, + 569.09 + ] + }, + { + "text": "1–31%", + "bbox_points": [ + 70.41, + 561.09, + 94.64, + 569.38 + ] + }, + { + "text": "Alkaline", + "bbox_points": [ + 96.95, + 561.37, + 127.41, + 569.38 + ] + }, + { + "text": "reagent", + "bbox_points": [ + 129.77, + 561.37, + 156.26, + 569.38 + ] + }, + { + "text": "alkaline", + "bbox_points": [ + 297.98, + 561.37, + 326.53, + 569.38 + ] + }, + { + "text": "obtained", + "bbox_points": [ + 374.74, + 561.37, + 406.02, + 569.38 + ] + }, + { + "text": "with", + "bbox_points": [ + 408.42, + 561.37, + 424.39, + 569.38 + ] + }, + { + "text": "the", + "bbox_points": [ + 426.79, + 561.37, + 438.11, + 569.38 + ] + }, + { + "text": "highest", + "bbox_points": [ + 440.51, + 561.37, + 465.99, + 569.38 + ] + }, + { + "text": "sludge", + "bbox_points": [ + 468.4, + 561.37, + 491.21, + 569.38 + ] + }, + { + "text": "(2015)", + "bbox_points": [ + 525.94, + 561.37, + 549.09, + 569.38 + ] + } + ] + }, + { + "text": "MW concentration (130 g·L 1) and", + "bbox_points": [ + 64.01, + 571.85, + 488.46, + 579.87 + ], + "words": [ + { + "text": "MW", + "bbox_points": [ + 64.01, + 571.85, + 80.08, + 579.87 + ] + }, + { + "text": "concentration", + "bbox_points": [ + 374.74, + 571.85, + 424.51, + 579.87 + ] + }, + { + "text": "(130", + "bbox_points": [ + 426.9, + 571.85, + 442.89, + 579.87 + ] + }, + { + "text": "g·L", + "bbox_points": [ + 444.81, + 571.85, + 456.14, + 579.87 + ] + }, + { + "text": "1)", + "bbox_points": [ + 465.45, + 571.85, + 472.61, + 579.87 + ] + }, + { + "text": "and", + "bbox_points": [ + 474.98, + 571.85, + 488.46, + 579.87 + ] + } + ] + }, + { + "text": "– 250 W; 3 min alkali to sludge ratio (24%).", + "bbox_points": [ + 64.01, + 582.12, + 473.86, + 590.42 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 64.01, + 582.12, + 68.01, + 590.12 + ] + }, + { + "text": "250", + "bbox_points": [ + 70.42, + 582.4, + 83.66, + 590.42 + ] + }, + { + "text": "W;", + "bbox_points": [ + 85.61, + 582.4, + 96.26, + 590.42 + ] + }, + { + "text": "3", + "bbox_points": [ + 98.65, + 582.4, + 103.06, + 590.42 + ] + }, + { + "text": "min", + "bbox_points": [ + 105.0, + 582.4, + 119.07, + 590.42 + ] + }, + { + "text": "alkali", + "bbox_points": [ + 374.74, + 582.4, + 394.62, + 590.41 + ] + }, + { + "text": "to", + "bbox_points": [ + 396.97, + 582.4, + 404.12, + 590.41 + ] + }, + { + "text": "sludge", + "bbox_points": [ + 406.49, + 582.4, + 429.3, + 590.41 + ] + }, + { + "text": "ratio", + "bbox_points": [ + 431.66, + 582.4, + 448.12, + 590.41 + ] + }, + { + "text": "(24%).", + "bbox_points": [ + 450.54, + 582.4, + 473.86, + 590.41 + ] + } + ] + }, + { + "text": "MW (Mars 5 MW, T ¼ 25–260 °C, Batch – Highest solubilization and methane Alqaralleh", + "bbox_points": [ + 64.01, + 596.12, + 555.35, + 604.43 + ], + "words": [ + { + "text": "MW", + "bbox_points": [ + 64.01, + 596.4, + 80.08, + 604.42 + ] + }, + { + "text": "(Mars", + "bbox_points": [ + 82.43, + 596.4, + 103.57, + 604.42 + ] + }, + { + "text": "5", + "bbox_points": [ + 105.96, + 596.4, + 110.38, + 604.42 + ] + }, + { + "text": "MW,", + "bbox_points": [ + 112.31, + 596.4, + 130.02, + 604.42 + ] + }, + { + "text": "T", + "bbox_points": [ + 132.44, + 596.3, + 137.18, + 604.3 + ] + }, + { + "text": "¼", + "bbox_points": [ + 138.73, + 596.12, + 144.89, + 604.12 + ] + }, + { + "text": "25–260", + "bbox_points": [ + 146.44, + 596.12, + 172.5, + 604.42 + ] + }, + { + "text": "°C,", + "bbox_points": [ + 174.45, + 596.4, + 184.93, + 604.42 + ] + }, + { + "text": "Batch", + "bbox_points": [ + 196.1, + 596.41, + 216.94, + 604.43 + ] + }, + { + "text": "–", + "bbox_points": [ + 364.7, + 596.13, + 368.7, + 604.13 + ] + }, + { + "text": "Highest", + "bbox_points": [ + 371.11, + 596.41, + 398.86, + 604.43 + ] + }, + { + "text": "solubilization", + "bbox_points": [ + 401.27, + 596.41, + 449.62, + 604.43 + ] + }, + { + "text": "and", + "bbox_points": [ + 452.01, + 596.41, + 465.49, + 604.43 + ] + }, + { + "text": "methane", + "bbox_points": [ + 467.83, + 596.41, + 499.05, + 604.43 + ] + }, + { + "text": "Alqaralleh", + "bbox_points": [ + 517.94, + 596.41, + 555.35, + 604.42 + ] + } + ] + }, + { + "text": "max. P ¼ 102 atm, max. – 300 mL; 55 °C; yield in MW-175 °C; Max. 68.2% et al.", + "bbox_points": [ + 73.99, + 606.61, + 543.58, + 614.92 + ], + "words": [ + { + "text": "max.", + "bbox_points": [ + 73.99, + 606.89, + 91.31, + 614.91 + ] + }, + { + "text": "P", + "bbox_points": [ + 93.66, + 606.79, + 98.99, + 614.79 + ] + }, + { + "text": "¼", + "bbox_points": [ + 100.58, + 606.61, + 106.74, + 614.61 + ] + }, + { + "text": "102", + "bbox_points": [ + 108.29, + 606.89, + 121.53, + 614.91 + ] + }, + { + "text": "atm,", + "bbox_points": [ + 123.48, + 606.89, + 139.08, + 614.91 + ] + }, + { + "text": "max.", + "bbox_points": [ + 141.45, + 606.89, + 158.77, + 614.91 + ] + }, + { + "text": "–", + "bbox_points": [ + 196.1, + 606.62, + 200.1, + 614.62 + ] + }, + { + "text": "300", + "bbox_points": [ + 202.51, + 606.9, + 215.75, + 614.92 + ] + }, + { + "text": "mL;", + "bbox_points": [ + 217.7, + 606.9, + 232.36, + 614.92 + ] + }, + { + "text": "55", + "bbox_points": [ + 234.71, + 606.9, + 243.54, + 614.92 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 245.48, + 606.9, + 256.3, + 614.92 + ] + }, + { + "text": "yield", + "bbox_points": [ + 374.74, + 606.9, + 391.97, + 614.92 + ] + }, + { + "text": "in", + "bbox_points": [ + 394.3, + 606.9, + 401.37, + 614.92 + ] + }, + { + "text": "MW-175", + "bbox_points": [ + 403.77, + 606.9, + 435.17, + 614.92 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 437.1, + 606.9, + 447.92, + 614.92 + ] + }, + { + "text": "Max.", + "bbox_points": [ + 450.25, + 606.9, + 468.32, + 614.92 + ] + }, + { + "text": "68.2%", + "bbox_points": [ + 470.72, + 606.9, + 492.97, + 614.92 + ] + }, + { + "text": "et", + "bbox_points": [ + 525.94, + 606.8, + 532.26, + 614.8 + ] + }, + { + "text": "al.", + "bbox_points": [ + 534.67, + 606.8, + 543.58, + 614.91 + ] + } + ] + }, + { + "text": "Power ¼ 1,250 W) 90 rpm; 40 days sCOD in MW-175 °C (with 20%FOG (2019)", + "bbox_points": [ + 73.99, + 617.1, + 549.09, + 625.4 + ], + "words": [ + { + "text": "Power", + "bbox_points": [ + 73.99, + 617.38, + 96.49, + 625.39 + ] + }, + { + "text": "¼", + "bbox_points": [ + 98.08, + 617.1, + 104.24, + 625.1 + ] + }, + { + "text": "1,250", + "bbox_points": [ + 105.79, + 617.38, + 125.46, + 625.39 + ] + }, + { + "text": "W)", + "bbox_points": [ + 127.39, + 617.38, + 138.46, + 625.39 + ] + }, + { + "text": "90", + "bbox_points": [ + 206.08, + 617.39, + 214.91, + 625.4 + ] + }, + { + "text": "rpm;", + "bbox_points": [ + 216.91, + 617.39, + 233.97, + 625.4 + ] + }, + { + "text": "40", + "bbox_points": [ + 236.3, + 617.39, + 245.13, + 625.4 + ] + }, + { + "text": "days", + "bbox_points": [ + 247.52, + 617.39, + 263.21, + 625.4 + ] + }, + { + "text": "sCOD", + "bbox_points": [ + 374.74, + 617.39, + 396.9, + 625.4 + ] + }, + { + "text": "in", + "bbox_points": [ + 399.29, + 617.39, + 406.36, + 625.4 + ] + }, + { + "text": "MW-175", + "bbox_points": [ + 408.75, + 617.39, + 440.15, + 625.4 + ] + }, + { + "text": "°C", + "bbox_points": [ + 442.09, + 617.39, + 450.58, + 625.4 + ] + }, + { + "text": "(with", + "bbox_points": [ + 452.92, + 617.39, + 471.64, + 625.4 + ] + }, + { + "text": "20%FOG", + "bbox_points": [ + 474.01, + 617.39, + 507.85, + 625.4 + ] + }, + { + "text": "(2019)", + "bbox_points": [ + 525.94, + 617.38, + 549.09, + 625.4 + ] + } + ] + }, + { + "text": "– 95, 135, 175 °C; intensity 3.5 C/ samples); Max. 137% methane yield", + "bbox_points": [ + 64.01, + 627.59, + 504.45, + 635.89 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 64.01, + 627.59, + 68.01, + 635.58 + ] + }, + { + "text": "95,", + "bbox_points": [ + 70.42, + 627.87, + 81.25, + 635.88 + ] + }, + { + "text": "135,", + "bbox_points": [ + 83.57, + 627.87, + 98.82, + 635.88 + ] + }, + { + "text": "175", + "bbox_points": [ + 101.2, + 627.87, + 114.45, + 635.88 + ] + }, + { + "text": "°C;", + "bbox_points": [ + 116.39, + 627.87, + 127.21, + 635.88 + ] + }, + { + "text": "intensity", + "bbox_points": [ + 129.6, + 627.87, + 160.23, + 635.88 + ] + }, + { + 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area. diff --git a/Figures/Murtem et al. - 2024 - Temporal variation in glacier surface area and gla/figure_03.jpg b/Figures/Murtem et al. - 2024 - Temporal variation in glacier surface area and gla/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..dc5d32f6c881379a081e185591439dc9a448629d --- /dev/null +++ b/Figures/Murtem et al. - 2024 - Temporal variation in glacier surface area and gla/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b9268c215410d6a7a3fa2df18a83d77f4b8385ef2debd96bc7d2690fc27ffc13 +size 67968 diff --git a/Figures/Murtem et al. - 2024 - Temporal variation in glacier surface area and gla/figure_03.txt b/Figures/Murtem et al. - 2024 - Temporal variation in glacier surface area and gla/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..5a81cef3aad591767b09e39f8d2b4554296fe243 --- /dev/null +++ b/Figures/Murtem et al. - 2024 - Temporal variation in glacier surface area 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"Medium", + "bbox_points": [ + 399.51, + 506.89, + 429.74, + 514.91 + ] + }, + { + "text": "3", + "bbox_points": [ + 533.54, + 506.89, + 537.95, + 514.91 + ] + } + ] + }, + { + "text": "30 Badhagav 58.72 Medium 3", + "bbox_points": [ + 64.01, + 520.89, + 537.95, + 528.91 + ], + "words": [ + { + "text": "30", + "bbox_points": [ + 64.01, + 520.89, + 72.84, + 528.91 + ] + }, + { + "text": "Badhagav", + "bbox_points": [ + 158.0, + 520.89, + 193.34, + 528.91 + ] + }, + { + "text": "58.72", + "bbox_points": [ + 297.47, + 520.89, + 317.13, + 528.91 + ] + }, + { + "text": "Medium", + "bbox_points": [ + 399.51, + 520.89, + 429.74, + 528.91 + ] + }, + { + "text": "3", + "bbox_points": [ + 533.53, + 520.89, + 537.95, + 528.91 + ] + } + ] + }, + { + "text": "31 Golyiakhedi 123.44 Poor 4", + "bbox_points": [ + 64.01, + 534.9, + 537.95, + 542.91 + ], + "words": [ + { + "text": "31", + "bbox_points": [ + 64.01, + 534.9, + 72.84, + 542.91 + ] + }, + { + "text": "Golyiakhedi", + "bbox_points": [ + 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Beenaganj-Chachura/table_07_part_2.txt @@ -0,0 +1 @@ +Continued diff --git a/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_01.jpg b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a8d946195e8b14a8fc42fc627b72875bcc207f8e --- /dev/null +++ b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4da9243c3baf117b3a5ceefc7de5b4b365987c4e0534caeacdfc34700d73479d +size 47955 diff --git a/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_01.txt b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..5501cedb14708e84f89374eb3a00d4365f29e3cc --- /dev/null +++ b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_01.txt @@ -0,0 +1 @@ +Proposed mechanisms based on literature. Adapted from Barca et al. (2012). diff --git a/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_02.jpg b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3b99687399a43e06c2d00d3ee5f4a18aa7a462cd --- /dev/null +++ b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4e129dd45ab9ed00d364c67ec3521b8cd9e7a0eecd9e105b8d6c0c0603a11870 +size 22340 diff --git a/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_02.txt b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b84d2682eb56745abebb019f458f7c798211219 --- /dev/null +++ b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_02.txt @@ -0,0 +1 @@ +Layout of sampling points for hydraulic conductivity test and samples for SEM/energy dispersive X-ray spectrometry (EDX) and sequential P extraction. diff --git a/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_03.jpg b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..19f94bdaaefaef41af9adcafd4169f89f5704447 --- /dev/null +++ b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c50b560dfa1b8ffb419d37fc192927d5fa645a93e2711f2a8c6e83aefdadb1a0 +size 102334 diff --git a/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_03.txt b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb1e9e3909e07d8f09e3dcb733d66f3a2bc53daa --- /dev/null +++ b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_03.txt @@ -0,0 +1 @@ +Overview of main measured parameters during the whole period of operation. Changes in flow rate (and EBCT) were from 48 to 24 h EBCT on day 209 and from 24 to 48 h on day 278. (a) Average influent P (̶̶̶̶̶̶̶̶̶̶̶̶ , 7.63 + 1.83 mg/L), effluent P (□) as ortho-P in mg P/L and effluent pH (X). (b) Release of calcium (Δ) and vanadium (●) reported as the difference between the influent and effluent concentrations (a positive value shows a release and a negative value shows an uptake). (c) Effluent P fractions: Particulate P (▪) and dissolved P ( ) and water temperature (○). diff --git a/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_04.jpg b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0c0498773428f7b86f4ef7f1a351845e7ec3a226 --- /dev/null +++ b/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fe78806ae0468cbbfb53f2d33cdf71486197cbdd717e28a6005c5a1f31db81ca +size 65415 diff --git a/Figures/Murujew et al. - 2024 - Reactive media constructed wetland for phosphorus removal assessing the opportunity and challenges/figure_04.txt b/Figures/Murujew et al. - 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A total of four measuring sections and additionally three individual measuring points for wastewater and sewer air temperature were installed. Soil temperatures were measured at locations at depths of 0.80, 1.15, and 1.50 m (Background image: © Stadt Graz). diff --git a/Figures/Muschalla et al. - 2024 - Model-based assessment of in-sewer heat recovery potentials considering wastewater treatment-specifi/figure_03.jpg b/Figures/Muschalla et al. - 2024 - Model-based assessment of in-sewer heat recovery potentials considering wastewater treatment-specifi/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d526face98eb7da825d848337d5b16b8100a048c --- /dev/null +++ b/Figures/Muschalla et al. - 2024 - Model-based assessment of in-sewer heat recovery potentials considering wastewater treatment-specifi/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:93f49d288811219637d9de5a31d088c2e7998b016cc94b56a4b6d0f326e10f0d +size 81087 diff --git a/Figures/Muschalla et al. - 2024 - Model-based assessment of in-sewer heat recovery potentials considering wastewater treatment-specifi/figure_03.txt b/Figures/Muschalla et al. - 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"bbox_points": [ + 43.43, + 493.08, + 365.72, + 499.12 + ], + "words": [ + { + "text": "Parameters", + "bbox_points": [ + 43.43, + 493.11, + 78.98, + 499.12 + ] + }, + { + "text": "Formulas", + "bbox_points": [ + 150.52, + 493.11, + 179.19, + 499.12 + ] + }, + { + "text": "Formula", + "bbox_points": [ + 270.42, + 493.11, + 295.78, + 499.12 + ] + }, + { + "text": "parameter", + "bbox_points": [ + 297.69, + 493.11, + 330.18, + 499.12 + ] + }, + { + "text": "definitions", + "bbox_points": [ + 332.1, + 493.08, + 365.72, + 499.12 + ] + } + ] + }, + { + "text": "Supplied population (PS)", + "bbox_points": [ + 43.43, + 508.25, + 133.95, + 516.27 + ], + "words": [ + { + "text": "Supplied", + "bbox_points": [ + 43.43, + 508.25, + 75.13, + 516.27 + ] + }, + { + "text": "population", + "bbox_points": [ + 77.5, + 508.25, + 116.33, + 516.27 + ] + }, + { + "text": "(PS)", + "bbox_points": [ + 118.71, + 508.25, + 133.95, + 516.27 + ] + } + ] + }, + { + "text": "PS ¼ P", + "bbox_points": [ + 150.52, + 510.81, + 176.2, + 519.11 + ], + "words": [ + { + "text": "PS", + "bbox_points": [ + 150.52, + 511.09, + 160.26, + 519.11 + ] + }, + { + "text": "¼", + "bbox_points": [ + 162.48, + 510.81, + 168.64, + 518.81 + ] + }, + { + "text": "P", + "bbox_points": [ + 170.87, + 510.99, + 176.2, + 518.99 + ] + } + ] + }, + { + "text": "a • a is the proportion of the population with access to drinking water from a", + "bbox_points": [ + 189.7, + 501.66, + 543.54, + 513.66 + ], + "words": [ + { + "text": "a", + "bbox_points": [ + 189.7, + 505.37, + 196.29, + 513.37 + ] + }, + { + "text": "•", + "bbox_points": [ + 270.2, + 501.66, + 273.94, + 513.66 + ] + }, + { + "text": "a", + "bbox_points": [ + 277.57, + 504.4, + 284.16, + 512.4 + ] + }, + { + "text": "is", + "bbox_points": [ + 285.22, + 504.68, + 290.88, + 512.7 + ] + }, + { + "text": "the", + "bbox_points": [ + 293.1, + 504.68, + 304.42, + 512.7 + ] + }, + { + "text": "proportion", + "bbox_points": [ + 306.82, + 504.68, + 345.47, + 512.7 + ] + }, 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capita (L/c/day);", + "bbox_points": [ + 270.2, + 542.19, + 539.15, + 554.19 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 270.2, + 542.19, + 273.94, + 554.19 + ] + }, + { + "text": "PCC", + "bbox_points": [ + 277.91, + 545.16, + 294.4, + 553.18 + ] + }, + { + "text": "is", + "bbox_points": [ + 296.79, + 545.16, + 302.44, + 553.18 + ] + }, + { + "text": "the", + "bbox_points": [ + 304.67, + 545.16, + 315.99, + 553.18 + ] + }, + { + "text": "per", + "bbox_points": [ + 318.33, + 545.16, + 330.07, + 553.18 + ] + }, + { + "text": "capita", + "bbox_points": [ + 332.28, + 545.16, + 354.08, + 553.18 + ] + }, + { + "text": "consumption", + "bbox_points": [ + 356.32, + 545.16, + 403.23, + 553.18 + ] + }, + { + "text": "in", + "bbox_points": [ + 405.64, + 545.16, + 412.71, + 553.18 + ] + }, + { + "text": "liters", + "bbox_points": [ + 415.11, + 545.16, + 432.83, + 553.18 + ] + }, + { + "text": "per", + "bbox_points": [ + 435.18, + 545.16, + 446.91, + 553.18 + ] + }, + { + "text": "day", + "bbox_points": [ + 449.29, + 545.16, + 461.85, + 553.18 + ] + }, + { + "text": "per", + "bbox_points": [ + 464.26, + 545.16, + 475.99, + 553.18 + ] + }, + { + "text": "capita", + "bbox_points": [ + 478.21, + 545.16, + 500.0, + 553.18 + ] + }, + { + "text": "(L/c/day);", + "bbox_points": [ + 502.36, + 545.16, + 539.15, + 553.18 + ] + } + ] + }, + { + "text": "Domestic consumption PCC", + "bbox_points": [ + 43.43, + 549.87, + 212.02, + 558.17 + ], + "words": [ + { + "text": "Domestic", + "bbox_points": [ + 43.43, + 550.15, + 77.62, + 558.17 + ] + }, + { + "text": "consumption", + "bbox_points": [ + 80.0, + 550.15, + 126.93, + 558.17 + ] + }, + { + "text": "PCC", + "bbox_points": [ + 195.53, + 549.87, + 212.02, + 557.88 + ] + } + ] + }, + { + "text": "CD ¼ PS • PS is the supplied population;", + "bbox_points": [ + 150.52, + 552.68, + 385.4, + 564.68 + ], + "words": [ + { + "text": "CD", + "bbox_points": [ + 150.52, + 555.31, + 162.84, + 563.33 + ] + }, + { + "text": "¼", + "bbox_points": [ + 165.09, + 555.03, + 171.25, + 563.03 + ] + }, + { + "text": "PS", + "bbox_points": [ + 173.42, + 555.31, + 183.17, + 563.33 + ] + }, + { + "text": "•", + "bbox_points": [ + 270.2, + 552.68, + 273.94, + 564.68 + ] + }, + { + "text": "PS", + "bbox_points": [ + 277.91, + 555.65, + 287.65, + 563.67 + ] + }, + { + "text": "is", + "bbox_points": [ + 290.04, + 555.65, + 295.7, + 563.67 + ] + }, + { + "text": "the", + "bbox_points": [ + 297.92, + 555.65, + 309.24, + 563.67 + ] + }, + { + "text": "supplied", + "bbox_points": [ + 311.64, + 555.65, + 341.84, + 563.67 + ] + }, + { + "text": "population;", + "bbox_points": [ + 344.24, + 555.65, + 385.4, + 563.67 + ] + } + ] + }, + { + "text": "(CD) 1, 000", + "bbox_points": [ + 51.48, + 560.64, + 214.73, + 568.82 + ], + "words": [ + { + "text": "(CD)", + "bbox_points": [ + 51.48, + 560.64, + 69.29, + 568.65 + ] + }, + { + "text": "1,", + "bbox_points": [ + 192.87, + 560.81, + 199.28, + 568.82 + ] + }, + { + "text": "000", + "bbox_points": [ + 201.49, + 560.81, + 214.73, + 568.82 + ] + } + ] + }, + { + "text": "• CD is the domestic consumption in m3/day.", + "bbox_points": [ + 270.2, + 563.17, + 435.76, + 575.17 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 270.2, + 563.17, + 273.94, + 575.17 + ] + }, + { + "text": "CD", + "bbox_points": [ + 277.91, + 566.19, + 290.23, + 574.21 + ] + }, + { + "text": "is", + "bbox_points": [ + 292.59, + 566.19, + 298.25, + 574.21 + ] + }, + { + "text": "the", + "bbox_points": [ + 300.47, + 566.19, + 311.79, + 574.21 + ] + }, + { + "text": "domestic", + "bbox_points": [ + 314.19, + 566.19, + 346.34, + 574.21 + ] + }, + { + "text": "consumption", + "bbox_points": [ + 348.72, + 566.19, + 395.74, + 574.21 + ] + }, + { + "text": "in", + "bbox_points": [ + 398.1, + 566.19, + 405.17, + 574.21 + ] + }, + { + "text": "m3/day.", + "bbox_points": [ + 407.57, + 564.66, + 435.76, + 574.21 + ] + } + ] + }, + { + "text": "Non-domestic CND ¼ 0:3 CD (Urban • CD is the domestic consumption in m3/day;", + "bbox_points": [ + 43.43, + 577.17, + 436.29, + 589.17 + ], + "words": [ + { + "text": "Non-domestic", + "bbox_points": [ + 43.43, + 580.2, + 93.72, + 588.21 + ] + }, + { + "text": "CND", + "bbox_points": [ + 150.52, + 580.2, + 169.58, + 588.21 + ] + }, + { + "text": "¼", + "bbox_points": [ + 171.78, + 579.92, + 177.94, + 587.92 + ] + }, + { + "text": "0:3", + "bbox_points": [ + 180.17, + 579.92, + 191.16, + 588.21 + ] + }, + { + "text": "CD", + "bbox_points": [ + 200.81, + 580.2, + 213.13, + 588.21 + ] + }, + { + "text": "(Urban", + "bbox_points": [ + 215.55, + 580.2, + 241.1, + 588.21 + ] + }, + { + "text": "•", + "bbox_points": [ + 270.2, + 577.17, + 273.94, + 589.17 + ] + }, + { + "text": "CD", + "bbox_points": [ + 277.91, + 580.2, + 290.23, + 588.21 + ] + }, + { + "text": "is", + "bbox_points": [ + 292.59, + 580.2, + 298.25, + 588.21 + ] + }, + { + "text": "the", + "bbox_points": [ + 300.47, + 580.2, + 311.79, + 588.21 + ] + }, + { + "text": "domestic", + "bbox_points": [ + 314.19, + 580.2, + 346.34, + 588.21 + ] + }, + { + "text": "consumption", + "bbox_points": [ + 348.72, + 580.2, + 395.74, + 588.21 + ] + }, + { + "text": "in", + "bbox_points": [ + 398.1, + 580.2, + 405.17, + 588.21 + ] + }, + { + "text": "m3/day;", + "bbox_points": [ + 407.57, + 578.67, + 436.29, + 588.21 + ] + } + ] + }, + { + "text": "consumption (CND) area) • CND is the non-domestic consumption in m3/day;", + "bbox_points": [ + 51.48, + 587.72, + 459.13, + 599.72 + ], + "words": [ + { + "text": "consumption", + "bbox_points": [ + 51.48, + 590.69, + 98.4, + 598.7 + ] + }, + { + "text": "(CND)", + "bbox_points": [ + 100.8, + 590.69, + 125.35, + 598.7 + ] + }, + { + "text": "area)", + "bbox_points": [ + 158.57, + 590.69, + 176.62, + 598.7 + ] + }, + { + "text": "•", + "bbox_points": [ + 270.2, + 587.72, + 273.94, + 599.72 + ] + }, + { + "text": "CND", + "bbox_points": [ + 277.91, + 590.69, + 296.97, + 598.7 + ] + }, + { + "text": "is", + "bbox_points": [ + 299.34, + 590.69, + 304.99, + 598.7 + ] + }, + { + "text": "the", + "bbox_points": [ + 307.22, + 590.69, + 318.54, + 598.7 + ] + }, + { + "text": "non-domestic", + "bbox_points": [ + 320.94, + 590.69, + 369.19, + 598.7 + ] + }, + { + "text": "consumption", + "bbox_points": [ + 371.56, + 590.69, + 418.59, + 598.7 + ] + }, + { + "text": "in", + "bbox_points": [ + 420.94, + 590.69, + 428.02, + 598.7 + ] + }, + { + "text": "m3/day;", + "bbox_points": [ + 430.36, + 589.16, + 459.13, + 598.7 + ] + } + ] + }, + { + "text": "CND ¼ 0:1 CD (Rural", + "bbox_points": [ + 158.57, + 600.89, + 245.9, + 609.19 + ], + "words": [ + { + "text": "CND", + "bbox_points": [ + 158.57, + 601.17, + 177.63, + 609.19 + ] + }, + { + "text": "¼", + "bbox_points": [ + 179.77, + 600.89, + 185.93, + 608.89 + ] + }, + { + "text": "0:1", + "bbox_points": [ + 188.16, + 600.89, + 199.16, + 609.19 + ] + }, + { + "text": "CD", + "bbox_points": [ + 208.8, + 601.17, + 221.12, + 609.19 + ] + }, + { + "text": "(Rural", + "bbox_points": [ + 223.54, + 601.17, + 245.9, + 609.19 + ] + } + ] + }, + { + "text": "area)", + "bbox_points": [ + 158.57, + 611.66, + 176.62, + 619.68 + ], + "words": [ + { + "text": "area)", + "bbox_points": [ + 158.57, + 611.66, + 176.62, + 619.68 + ] + } + ] + }, + { + "text": "SIV SIV ¼ CD þ CND • CD is the domestic consumption in m3/day;", + "bbox_points": [ + 43.43, + 622.7, + 436.29, + 634.7 + ], + "words": [ + { + "text": "SIV", + "bbox_points": [ + 43.43, + 625.67, + 57.33, + 633.68 + ] + }, + { + "text": "SIV", + "bbox_points": [ + 150.52, + 625.67, + 164.42, + 633.68 + ] + }, + { + "text": "¼", + "bbox_points": [ + 166.62, + 625.39, + 172.78, + 633.39 + ] + }, + { + "text": "CD", + "bbox_points": [ + 175.01, + 625.67, + 187.33, + 633.68 + ] + }, + { + "text": "þ", + "bbox_points": [ + 189.07, + 625.39, + 195.23, + 633.39 + ] + }, + { + "text": "CND", + "bbox_points": [ + 197.01, + 625.67, + 216.07, + 633.68 + ] + }, + { + "text": "•", + "bbox_points": [ + 270.2, + 622.7, + 273.94, + 634.7 + ] + }, + { + "text": "CD", + "bbox_points": [ + 277.91, + 625.67, + 290.23, + 633.68 + ] + }, + { + "text": "is", + "bbox_points": [ + 292.59, + 625.67, + 298.25, + 633.68 + ] + }, + { + "text": "the", + "bbox_points": [ + 300.47, + 625.67, + 311.79, + 633.68 + ] + }, + { + "text": "domestic", + "bbox_points": [ + 314.19, + 625.67, + 346.34, + 633.68 + ] + }, + { + "text": "consumption", + "bbox_points": [ + 348.72, + 625.67, + 395.74, + 633.68 + ] + }, + { + "text": "in", + "bbox_points": [ + 398.1, + 625.67, + 405.17, + 633.68 + ] + }, + { + "text": "m3/day;", + "bbox_points": [ + 407.57, + 624.13, + 436.29, + 633.68 + ] + } + ] + }, + { + "text": "• CND is the non-domestic consumption in m3/day;", + "bbox_points": [ + 270.2, + 633.18, + 459.13, + 645.18 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 270.2, + 633.18, + 273.94, + 645.18 + ] + }, + { + "text": "CND", + "bbox_points": [ + 277.91, + 636.15, + 296.97, + 644.17 + ] + }, + { + "text": "is", + "bbox_points": [ + 299.34, + 636.15, + 304.99, + 644.17 + ] + }, + { + "text": "the", + "bbox_points": [ + 307.22, + 636.15, + 318.54, + 644.17 + ] + }, + { + "text": "non-domestic", + "bbox_points": [ + 320.94, + 636.15, + 369.19, + 644.17 + ] + }, + { + "text": "consumption", + "bbox_points": [ + 371.56, + 636.15, + 418.59, + 644.17 + ] + }, + { + "text": "in", + "bbox_points": [ + 420.94, + 636.15, + 428.02, + 644.17 + ] + }, + { + "text": "m3/day;", + "bbox_points": [ + 430.36, + 634.68, + 459.13, + 644.17 + ] + } + ] + }, + { + "text": "• SIV is the system input volume in m3/day.", + "bbox_points": [ + 270.2, + 643.67, + 429.52, + 655.67 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 270.2, + 643.67, + 273.94, + 655.67 + ] + }, + { + "text": "SIV", + "bbox_points": [ + 277.91, + 646.7, + 291.81, + 654.71 + ] + }, + { + "text": "is", + "bbox_points": [ + 294.18, + 646.7, + 299.84, + 654.71 + ] + }, + { + "text": "the", + "bbox_points": [ + 302.06, + 646.7, + 313.38, + 654.71 + ] + }, + { + "text": "system", + "bbox_points": [ + 315.78, + 646.7, + 339.5, + 654.71 + ] + }, + { + "text": "input", + "bbox_points": [ + 341.86, + 646.7, + 360.66, + 654.71 + ] + }, + { + "text": "volume", + "bbox_points": [ + 363.01, + 646.7, + 389.51, + 654.71 + ] + }, + { + "text": "in", + "bbox_points": [ + 391.86, + 646.7, + 398.93, + 654.71 + ] + }, + { + "text": "m3/day.", + "bbox_points": [ + 401.27, + 645.17, + 429.52, + 654.71 + ] + } + ] + }, + { + "text": "NRW NRW ¼ (1 h)SIV • SIV is the system input volume in m3/day;", + "bbox_points": [ + 43.43, + 657.68, + 430.05, + 669.68 + ], + "words": [ + { + "text": "NRW", + "bbox_points": [ + 43.43, + 660.6, + 63.75, + 668.6 + ] + }, + { + "text": "NRW", + "bbox_points": [ + 150.52, + 660.76, + 171.17, + 668.77 + ] + }, + { + "text": "¼", + "bbox_points": [ + 173.37, + 660.48, + 179.53, + 668.48 + ] + }, + { + "text": "(1", + "bbox_points": [ + 181.76, + 660.76, + 188.92, + 668.77 + ] + }, + { + "text": "h)SIV", + "bbox_points": [ + 198.26, + 660.48, + 220.12, + 668.77 + ] + }, + { + "text": "•", + "bbox_points": [ + 270.2, + 657.68, + 273.94, + 669.68 + ] + }, + { + "text": "SIV", + "bbox_points": [ + 277.91, + 660.7, + 291.81, + 668.72 + ] + }, + { + "text": "is", + "bbox_points": [ + 294.18, + 660.7, + 299.84, + 668.72 + ] + }, + { + "text": "the", + "bbox_points": [ + 302.06, + 660.7, + 313.38, + 668.72 + ] + }, + { + "text": "system", + "bbox_points": [ + 315.78, + 660.7, + 339.5, + 668.72 + ] + }, + { + "text": "input", + "bbox_points": [ + 341.86, + 660.7, + 360.66, + 668.72 + ] + }, + { + "text": "volume", + "bbox_points": [ + 363.01, + 660.7, + 389.51, + 668.72 + ] + }, + { + "text": "in", + "bbox_points": [ + 391.86, + 660.7, + 398.93, + 668.72 + ] + }, + { + "text": "m3/day;", + "bbox_points": [ + 401.27, + 659.17, + 430.05, + 668.72 + ] + } + ] + }, + { + "text": "• h is the distribution network’s efficiency;", + "bbox_points": [ + 270.2, + 668.22, + 424.57, + 680.22 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 270.2, + 668.22, + 273.94, + 680.22 + ] + }, + { + "text": "h", + "bbox_points": [ + 277.57, + 670.91, + 284.16, + 678.91 + ] + }, + { + "text": "is", + "bbox_points": [ + 285.22, + 671.19, + 290.88, + 679.21 + ] + }, + { + "text": "the", + "bbox_points": [ + 293.1, + 671.19, + 304.42, + 679.21 + ] + }, + { + "text": "distribution", + "bbox_points": [ + 306.82, + 671.19, + 348.14, + 679.21 + ] + }, + { + "text": "network’s", + "bbox_points": [ + 350.48, + 670.91, + 385.55, + 679.21 + ] + }, + { + "text": "efficiency;", + "bbox_points": [ + 387.95, + 670.91, + 424.57, + 679.21 + ] + } + ] + }, + { + "text": "• NRW is the nonrevenue water in m3/day.", + "bbox_points": [ + 270.2, + 678.71, + 426.97, + 690.71 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 270.2, + 678.71, + 273.94, + 690.71 + ] + }, + { + "text": "NRW", + "bbox_points": [ + 277.91, + 681.68, + 298.56, + 689.69 + ] + }, + { + "text": "is", + "bbox_points": [ + 300.93, + 681.68, + 306.58, + 689.69 + ] + }, + { + "text": "the", + "bbox_points": [ + 308.81, + 681.68, + 320.13, + 689.69 + ] + }, + { + "text": "nonrevenue", + "bbox_points": [ + 322.53, + 681.68, + 364.85, + 689.69 + ] + }, + { + "text": "water", + "bbox_points": [ + 367.03, + 681.68, + 386.91, + 689.69 + ] + }, + { + "text": "in", + "bbox_points": [ + 389.25, + 681.68, + 396.33, + 689.69 + ] + }, + { + "text": "m3/day.", + "bbox_points": [ + 398.72, + 680.15, + 426.97, + 689.69 + ] + } + ] + }, + { + "text": "Value of NRW Value of NRW ¼ NRW Pr • Pr is the water tariff;", + "bbox_points": [ + 43.43, + 692.71, + 351.65, + 704.71 + ], + "words": [ + { + "text": "Value", + "bbox_points": [ + 43.43, + 695.68, + 64.33, + 703.7 + ] + }, + { + "text": "of", + "bbox_points": [ + 66.73, + 695.68, + 73.8, + 703.7 + ] + }, + { + "text": "NRW", + "bbox_points": [ + 76.14, + 695.68, + 96.79, + 703.7 + ] + }, + { + "text": "Value", + "bbox_points": [ + 150.52, + 695.74, + 171.58, + 703.75 + ] + }, + { + "text": "of", + "bbox_points": [ + 173.76, + 695.74, + 180.84, + 703.75 + ] + }, + { + "text": "NRW", + "bbox_points": [ + 183.4, + 695.74, + 204.05, + 703.75 + ] + }, + { + "text": "¼", + "bbox_points": [ + 206.25, + 695.46, + 212.41, + 703.46 + ] + }, + { + "text": "NRW", + "bbox_points": [ + 214.58, + 695.74, + 235.23, + 703.75 + ] + }, + { + "text": "Pr", + "bbox_points": [ + 244.91, + 695.74, + 253.07, + 703.75 + ] + }, + { + "text": "•", + "bbox_points": [ + 270.2, + 692.71, + 273.94, + 704.71 + ] + }, + { + "text": "Pr", + "bbox_points": [ + 277.91, + 695.68, + 286.07, + 703.7 + ] + }, + { + "text": "is", + "bbox_points": [ + 288.45, + 695.68, + 294.11, + 703.7 + ] + }, + { + "text": "the", + "bbox_points": [ + 296.33, + 695.68, + 307.65, + 703.7 + ] + }, + { + "text": "water", + "bbox_points": [ + 309.88, + 695.68, + 329.77, + 703.7 + ] + }, + { + "text": "tariff;", + "bbox_points": [ + 332.11, + 695.68, + 351.65, + 703.7 + ] + } + ] + }, + { + "text": "• NRW is the nonrevenue water in m3/day.", + "bbox_points": [ + 270.2, + 703.2, + 426.97, + 715.2 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 270.2, + 703.2, + 273.94, + 715.2 + ] + }, + { + "text": "NRW", + "bbox_points": [ + 277.91, + 706.17, + 298.56, + 714.19 + ] + }, + { + "text": "is", + "bbox_points": [ + 300.93, + 706.17, + 306.58, + 714.19 + ] + }, + { + "text": "the", + "bbox_points": [ + 308.81, + 706.17, + 320.13, + 714.19 + ] + }, + { + "text": "nonrevenue", + "bbox_points": [ + 322.53, + 706.17, + 364.85, + 714.19 + ] + }, + { + "text": "water", + "bbox_points": [ + 367.03, + 706.17, + 386.91, + 714.19 + ] + }, + { + "text": "in", + "bbox_points": [ + 389.25, + 706.17, + 396.33, + 714.19 + ] + }, + { + "text": "m3/day.", + "bbox_points": [ + 398.72, + 704.64, + 426.97, + 714.19 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_01.txt b/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc09cf3ec45905d67af9a76fbba881d0a515cf7c --- /dev/null +++ b/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_01.txt @@ -0,0 +1 @@ +Summary of the formulas used for the calculation of NRW diff --git a/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_02.jpg b/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8ed7bfc915fe1bd85acad745935898830de750f9 --- /dev/null +++ b/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:23a09a3ba0dabbc10c694ea147d5bfcbac05b986c08dabeb58e23d6e8a3cea82 +size 31061 diff --git a/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_02.json b/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_02.json new file mode 100644 index 0000000000000000000000000000000000000000..824dba9a6b41e0af5914ae6544a6aa11de2bfabe --- /dev/null +++ b/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_02.json @@ -0,0 +1,435 @@ +{ + "kind": "table", + "label": "table_02", + "number": 2, + "caption": "NRW estimates for Cameroon", + "page": 5, + "table_bbox_points": [ + 61.01, + 633.44, + 569.02, + 724.3 + ], + "caption_bbox_points": [ + 64.01, + 625.27, + 209.09, + 633.44 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 5, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Volume of NRW Cost value of NRW", + "bbox_points": [ + 131.75, + 648.06, + 463.2, + 654.06 + ], + "words": [ + { + "text": "Volume", + "bbox_points": [ + 131.75, + 648.06, + 155.17, + 654.06 + ] + }, + { + "text": "of", + "bbox_points": [ + 157.1, + 648.06, + 163.4, + 654.06 + ] + }, + { + "text": "NRW", + "bbox_points": [ + 165.43, + 648.06, + 180.3, + 654.06 + ] + }, + { + "text": "Cost", + "bbox_points": [ + 405.58, + 648.06, + 419.43, + 654.06 + ] + }, + { + "text": "value", + "bbox_points": [ + 421.46, + 648.06, + 438.07, + 654.06 + ] + }, + { + "text": "of", + "bbox_points": [ + 440.05, + 648.06, + 446.36, + 654.06 + ] + }, + { + "text": "NRW", + "bbox_points": [ + 448.33, + 648.06, + 463.2, + 654.06 + ] + } + ] + }, + { + "text": "Areas m3/day Million m3/year Average level of NRW (L/c/d) Billion CFA Francs/year Million USD/year", + "bbox_points": [ + 64.01, + 661.75, + 566.07, + 669.02 + ], + "words": [ + { + "text": "Areas", + "bbox_points": [ + 64.01, + 663.02, + 81.81, + 669.02 + ] + }, + { + "text": "m3/day", + "bbox_points": [ + 131.75, + 661.75, + 153.81, + 669.02 + ] + }, + { + "text": "Million", + "bbox_points": [ + 196.5, + 663.02, + 217.85, + 669.02 + ] + }, + { + "text": "m3/year", + "bbox_points": [ + 219.85, + 661.75, + 244.29, + 669.02 + ] + }, + { + "text": "Average", + "bbox_points": [ + 280.57, + 663.02, + 305.81, + 669.02 + ] + }, + { + "text": "level", + "bbox_points": [ + 307.79, + 663.02, + 322.53, + 669.02 + ] + }, + { + "text": "of", + "bbox_points": [ + 324.45, + 663.02, + 330.76, + 669.02 + ] + }, + { + "text": "NRW", + "bbox_points": [ + 332.79, + 663.02, + 347.65, + 669.02 + ] + }, + { + "text": "(L/c/d)", + "bbox_points": [ + 349.62, + 663.02, + 369.23, + 669.02 + ] + }, + { + "text": "Billion", + "bbox_points": [ + 405.58, + 663.02, + 425.0, + 669.02 + ] + }, + { + "text": "CFA", + "bbox_points": [ + 427.01, + 663.02, + 439.32, + 669.02 + ] + }, + { + "text": "Francs/year", + "bbox_points": [ + 441.24, + 663.02, + 477.65, + 669.02 + ] + }, + { + "text": "Million", + "bbox_points": [ + 513.98, + 663.02, + 535.33, + 669.02 + ] + }, + { + "text": "USD/year", + "bbox_points": [ + 537.33, + 663.02, + 566.07, + 669.02 + ] + } + ] + }, + { + "text": "Urban 225,856 82.4 47.1 30.5 50.8", + "bbox_points": [ + 64.01, + 678.16, + 529.22, + 686.18 + ], + "words": [ + { + "text": "Urban", + "bbox_points": [ + 64.01, + 678.16, + 86.81, + 686.18 + ] + }, + { + "text": "225,856", + "bbox_points": [ + 131.75, + 678.16, + 160.25, + 686.18 + ] + }, + { + "text": "82.4", + "bbox_points": [ + 196.5, + 678.16, + 211.75, + 686.18 + ] + }, + { + "text": "47.1", + "bbox_points": [ + 280.57, + 678.16, + 295.82, + 686.18 + ] + }, + { + "text": "30.5", + "bbox_points": [ + 405.58, + 678.16, + 420.83, + 686.18 + ] + }, + { + "text": "50.8", + "bbox_points": [ + 513.98, + 678.16, + 529.22, + 686.18 + ] + } + ] + }, + { + "text": "Rural 6,162 2.2 6.9 1.7 2.8", + "bbox_points": [ + 64.01, + 692.17, + 524.81, + 700.18 + ], + "words": [ + { + "text": "Rural", + "bbox_points": [ + 64.01, + 692.17, + 83.59, + 700.18 + ] + }, + { + "text": "6,162", + "bbox_points": [ + 131.75, + 692.17, + 151.42, + 700.18 + ] + }, + { + "text": "2.2", + "bbox_points": [ + 196.5, + 692.17, + 207.33, + 700.18 + ] + }, + { + "text": "6.9", + "bbox_points": [ + 280.57, + 692.17, + 291.4, + 700.18 + ] + }, + { + "text": "1.7", + "bbox_points": [ + 405.58, + 692.17, + 416.41, + 700.18 + ] + }, + { + "text": "2.8", + "bbox_points": [ + 513.98, + 692.17, + 524.81, + 700.18 + ] + } + ] + }, + { + "text": "National 232,018 84.6 40.7 32.2 53.6", + "bbox_points": [ + 64.01, + 706.17, + 529.22, + 714.19 + ], + "words": [ + { + "text": "National", + "bbox_points": [ + 64.01, + 706.17, + 95.43, + 714.19 + ] + }, + { + "text": "232,018", + "bbox_points": [ + 131.75, + 706.17, + 160.25, + 714.19 + ] + }, + { + "text": "84.6", + "bbox_points": [ + 196.5, + 706.17, + 211.75, + 714.19 + ] + }, + { + "text": "40.7", + "bbox_points": [ + 280.57, + 706.17, + 295.82, + 714.19 + ] + }, + { + "text": "32.2", + "bbox_points": [ + 405.58, + 706.17, + 420.83, + 714.19 + ] + }, + { + "text": "53.6", + "bbox_points": [ + 513.98, + 706.17, + 529.22, + 714.19 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_02.txt b/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..37af539b90c63d9b18df750e1c0095daf40d01ca --- /dev/null +++ b/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_02.txt @@ -0,0 +1 @@ +NRW estimates for Cameroon diff --git a/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_03.jpg b/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e6f81ead95d946bcad8e121096ee801b0a1c7c2c --- /dev/null +++ b/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan African environment a practical applicati/table_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:517631174852d96f7ab39710ae7688a49176d690642db02178fbc9ee9f9530d4 +size 24638 diff --git a/Figures/Mvongo et al. - 2024 - Quantifying the nonrevenue water problem in a sub-Saharan 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] + }, + { + "text": "date", + "bbox_points": [ + 227.39, + 178.36, + 242.53, + 186.37 + ] + }, + { + "text": "date", + "bbox_points": [ + 260.67, + 178.36, + 275.81, + 186.37 + ] + }, + { + "text": "discharge,", + "bbox_points": [ + 361.76, + 178.36, + 397.97, + 186.37 + ] + }, + { + "text": "WARMA", + "bbox_points": [ + 421.23, + 178.36, + 454.2, + 186.37 + ] + }, + { + "text": "records", + "bbox_points": [ + 490.33, + 178.35, + 516.92, + 186.37 + ] + }, + { + "text": "on", + "bbox_points": [ + 519.3, + 178.35, + 528.62, + 186.37 + ] + } + ] + }, + { + "text": "rainfall GSM flows only", + "bbox_points": [ + 361.76, + 188.62, + 527.13, + 196.92 + ], + "words": [ + { + "text": "rainfall", + "bbox_points": [ + 361.76, + 188.9, + 387.25, + 196.92 + ] + }, + { + "text": "GSM", + "bbox_points": [ + 421.23, + 188.9, + 440.46, + 196.92 + ] + }, + { + "text": "flows", + "bbox_points": [ + 490.33, + 188.62, + 509.12, + 196.91 + ] + }, + { + "text": "only", + "bbox_points": [ + 511.48, + 188.9, 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"flows", + "bbox_points": [ + 490.33, + 279.61, + 509.12, + 287.9 + ] + }, + { + "text": "only", + "bbox_points": [ + 511.48, + 279.89, + 527.13, + 287.9 + ] + } + ] + }, + { + "text": "Telemetry", + "bbox_points": [ + 421.22, + 290.38, + 457.05, + 298.39 + ], + "words": [ + { + "text": "Telemetry", + "bbox_points": [ + 421.22, + 290.38, + 457.05, + 298.39 + ] + } + ] + }, + { + "text": "5 Matongo 15.26 23.07 Little Zambezi 2015 to Zambia Water level Manual þ Good continuous", + "bbox_points": [ + 43.42, + 304.1, + 545.08, + 312.39 + ], + "words": [ + { + "text": "5", + "bbox_points": [ + 43.42, + 304.38, + 47.84, + 312.39 + ] + }, + { + "text": "Matongo", + "bbox_points": [ + 62.81, + 304.38, + 95.02, + 312.39 + ] + }, + { + "text": "15.26", + "bbox_points": [ + 121.32, + 304.38, + 140.98, + 312.39 + ] + }, + { + "text": "23.07", + "bbox_points": [ + 149.95, + 304.38, + 169.61, + 312.39 + ] + }, + { + "text": "Little", + "bbox_points": [ + 189.86, + 304.38, + 209.0, + 312.39 + ] + }, 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+ 528.62, + 322.88 + ], + "words": [ + { + "text": "Platform", + "bbox_points": [ + 70.81, + 314.87, + 101.9, + 322.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 197.86, + 314.59, + 201.86, + 322.59 + ] + }, + { + "text": "1958", + "bbox_points": [ + 204.21, + 314.87, + 221.87, + 322.88 + ] + }, + { + "text": "to", + "bbox_points": [ + 224.22, + 314.87, + 231.37, + 322.88 + ] + }, + { + "text": "date", + "bbox_points": [ + 260.67, + 314.86, + 275.81, + 322.88 + ] + }, + { + "text": "ZRA", + "bbox_points": [ + 421.22, + 314.86, + 438.54, + 322.88 + ] + }, + { + "text": "þ", + "bbox_points": [ + 440.1, + 314.58, + 446.26, + 322.58 + ] + }, + { + "text": "records", + "bbox_points": [ + 490.33, + 314.86, + 516.92, + 322.88 + ] + }, + { + "text": "on", + "bbox_points": [ + 519.3, + 314.86, + 528.62, + 322.88 + ] + } + ] + }, + { + "text": "date WARMA water levels", + "bbox_points": [ + 197.86, + 325.35, + 532.53, + 333.37 + ], + "words": [ + { + "text": "date", + "bbox_points": [ + 197.86, + 325.35, + 212.99, + 333.37 + ] + }, + { + "text": "WARMA", + "bbox_points": [ + 421.22, + 325.35, + 454.2, + 333.37 + ] + }, + { + "text": "water", + "bbox_points": [ + 490.33, + 325.35, + 510.16, + 333.37 + ] + }, + { + "text": "levels", + "bbox_points": [ + 512.56, + 325.35, + 532.53, + 333.37 + ] + } + ] + }, + { + "text": "GSM only", + "bbox_points": [ + 421.22, + 335.9, + 505.98, + 343.91 + ], + "words": [ + { + "text": "GSM", + "bbox_points": [ + 421.22, + 335.9, + 440.46, + 343.91 + ] + }, + { + "text": "only", + "bbox_points": [ + 490.33, + 335.9, + 505.98, + 343.91 + ] + } + ] + }, + { + "text": "Telemetry", + "bbox_points": [ + 421.22, + 346.38, + 457.05, + 354.4 + ], + "words": [ + { + "text": "Telemetry", + "bbox_points": [ + 421.22, + 346.38, + 457.05, + 354.4 + ] + } + ] + }, + { + "text": "6 Senanga 16.12 23.29 Zambezi – 2015 to Zambia Water level, Manual þ Good continuous", + "bbox_points": [ + 43.42, + 360.11, + 545.08, + 368.4 + ], + "words": [ + { + "text": "6", + "bbox_points": [ + 43.42, + 360.39, + 47.84, + 368.4 + ] + }, + { + "text": "Senanga", + "bbox_points": [ + 62.81, + 360.39, + 93.36, + 368.4 + ] + }, + { + "text": "16.12", + "bbox_points": [ + 121.32, + 360.39, + 140.98, + 368.4 + ] + }, + { + "text": "23.29", + "bbox_points": [ + 149.95, + 360.39, + 169.61, + 368.4 + ] + }, + { + "text": "Zambezi", + "bbox_points": [ + 189.86, + 360.39, + 221.39, + 368.4 + ] + }, + { + "text": "–", + "bbox_points": [ + 223.82, + 360.11, + 227.82, + 368.11 + ] + }, + { + "text": "2015", + "bbox_points": [ + 252.68, + 360.39, + 270.34, + 368.4 + ] + }, + { + "text": "to", + "bbox_points": [ + 272.69, + 360.39, + 279.84, + 368.4 + ] + }, + { + "text": "Zambia", + "bbox_points": [ + 298.37, + 360.39, + 326.18, + 368.4 + ] + }, + { + "text": "Water", + "bbox_points": [ + 353.76, + 360.39, + 375.51, + 368.4 + ] + }, + { + "text": "level,", + "bbox_points": [ + 377.91, + 360.39, + 396.5, + 368.4 + ] + }, + { + "text": "Manual", + "bbox_points": [ + 413.23, + 360.39, + 440.94, + 368.4 + ] + }, + { + "text": "þ", + "bbox_points": [ + 442.48, + 360.11, + 448.64, + 368.11 + ] + }, + { + "text": "Good", + "bbox_points": [ + 482.28, + 360.39, + 502.75, + 368.4 + ] + }, + { + "text": "continuous", + "bbox_points": [ + 505.13, + 360.39, + 545.08, + 368.4 + ] + } + ] + }, + { + "text": "1948 to date date rainfall WARMA records on", + "bbox_points": [ + 197.86, + 370.87, + 528.62, + 378.89 + ], + "words": [ + { + "text": "1948", + "bbox_points": [ + 197.86, + 370.88, + 215.52, + 378.89 + ] + }, + { + "text": "to", + "bbox_points": [ + 217.87, + 370.88, + 225.02, + 378.89 + ] + }, + { + "text": "date", + "bbox_points": [ + 227.39, + 370.88, + 242.53, + 378.89 + ] + }, + { + "text": "date", + "bbox_points": [ + 260.67, + 370.88, + 275.81, + 378.89 + ] + }, + { + "text": "rainfall", + "bbox_points": [ + 361.75, + 370.88, + 387.24, + 378.89 + ] + }, + { + "text": "WARMA", + "bbox_points": [ + 421.22, + 370.88, + 454.2, + 378.89 + ] + }, + { + "text": "records", + "bbox_points": [ + 490.33, + 370.87, + 516.92, + 378.89 + ] + }, + { + "text": "on", + "bbox_points": [ + 519.3, + 370.87, + 528.62, + 378.89 + ] + } + ] + }, + { + "text": "GSM water levels", + "bbox_points": [ + 421.22, + 381.36, + 532.54, + 389.39 + ], + "words": [ + { + "text": "GSM", + "bbox_points": [ + 421.22, + 381.36, + 440.46, + 389.38 + ] + }, + { + "text": "water", + "bbox_points": [ + 490.34, + 381.38, + 510.16, + 389.39 + ] + }, + { + "text": "levels", + "bbox_points": [ + 512.56, + 381.38, + 532.54, + 389.39 + ] + } + ] + }, + { + "text": "Telemetry only", + "bbox_points": [ + 421.22, + 391.85, + 505.98, + 399.88 + ], + "words": [ + { + "text": "Telemetry", + "bbox_points": [ + 421.22, + 391.85, + 457.05, + 399.87 + ] + }, + { + "text": "only", + "bbox_points": [ + 490.34, + 391.86, + 505.98, + 399.88 + ] + } + ] + }, + { + "text": "7 Ngonye 16.64 23.56 Zambezi – 2010 to Zambia Water level, Manual þ Good continuous", + "bbox_points": [ + 43.43, + 405.59, + 545.08, + 413.88 + ], + "words": [ + { + "text": "7", + "bbox_points": [ + 43.43, + 405.87, + 47.84, + 413.88 + ] + }, + { + "text": "Ngonye", + "bbox_points": [ + 62.82, + 405.87, + 90.69, + 413.88 + ] + }, + { + "text": "16.64", + "bbox_points": [ + 121.32, + 405.87, + 140.99, + 413.88 + ] + }, + { + "text": "23.56", + "bbox_points": [ + 149.95, + 405.87, + 169.62, + 413.88 + ] + }, + { + "text": "Zambezi", + "bbox_points": [ + 189.87, + 405.87, + 221.39, + 413.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 223.83, + 405.59, + 227.82, + 413.59 + ] + }, + { + "text": "2010", + "bbox_points": [ + 252.68, + 405.87, + 270.35, + 413.88 + ] + }, + { + "text": "to", + "bbox_points": [ + 272.69, + 405.87, + 279.85, + 413.88 + ] + }, + { + "text": "Zambia", + "bbox_points": [ + 298.38, + 405.87, + 326.18, + 413.88 + ] + }, + { + "text": "Water", + "bbox_points": [ + 353.76, + 405.87, + 375.52, + 413.88 + ] + }, + { + "text": "level,", + "bbox_points": [ + 377.92, + 405.87, + 396.51, + 413.88 + ] + }, + { + "text": "Manual", + "bbox_points": [ + 413.23, + 405.87, + 440.95, + 413.88 + ] + }, + { + "text": "þ", + "bbox_points": [ + 442.49, + 405.59, + 448.65, + 413.59 + ] + }, + { + "text": "Good", + "bbox_points": [ + 482.29, + 405.87, + 502.76, + 413.88 + ] + }, + { + "text": "continuous", + "bbox_points": [ + 505.13, + 405.87, + 545.08, + 413.88 + ] + } + ] + }, + { + "text": "2005 to date date discharge, WARMA records on", + "bbox_points": [ + 197.86, + 416.35, + 528.63, + 424.37 + ], + "words": [ + { + "text": "2005", + "bbox_points": [ + 197.86, + 416.35, + 215.52, + 424.37 + ] + }, + { + "text": "to", + "bbox_points": [ + 217.87, + 416.35, + 225.02, + 424.37 + ] + }, + { + "text": "date", + "bbox_points": [ + 227.4, + 416.35, + 242.53, + 424.37 + ] + }, + { + "text": "date", + "bbox_points": [ + 260.67, + 416.35, + 275.81, + 424.37 + ] + }, + { + "text": "discharge,", + "bbox_points": [ + 361.76, + 416.35, + 397.97, + 424.37 + ] + }, + { + "text": "WARMA", + "bbox_points": [ + 421.23, + 416.35, + 454.2, + 424.37 + ] + }, + { + "text": "records", + "bbox_points": [ + 490.34, + 416.35, + 516.92, + 424.37 + ] + }, + { + "text": "on", + "bbox_points": [ + 519.31, + 416.35, + 528.63, + 424.37 + ] + } + ] + }, + { + "text": "rainfall GSM flows only", + "bbox_points": [ + 361.76, + 426.62, + 527.13, + 434.92 + ], + "words": [ + { + "text": "rainfall", + "bbox_points": [ + 361.76, + 426.9, + 387.25, + 434.92 + ] + }, + { + "text": "GSM", + "bbox_points": [ + 421.23, + 426.9, + 440.46, + 434.91 + ] + }, + { + "text": "flows", + "bbox_points": [ + 490.34, + 426.62, + 509.12, + 434.91 + ] + }, + { + "text": "only", + "bbox_points": [ + 511.48, + 426.9, + 527.13, + 434.91 + ] + } + ] + }, + { + "text": "Telemetry", + "bbox_points": [ + 421.23, + 437.39, + 457.05, + 445.4 + ], + "words": [ + { + "text": "Telemetry", + "bbox_points": [ + 421.23, + 437.39, + 457.05, + 445.4 + ] + } + ] + }, + { + "text": "8 Sesheke 17.49 24.30 Zambezi – 2015 to Zambia Water level, Manual þ Good continuous", + "bbox_points": [ + 43.43, + 451.11, + 545.08, + 459.4 + ], + "words": [ + { + "text": "8", + "bbox_points": [ + 43.43, + 451.39, + 47.84, + 459.4 + ] + }, + { + "text": "Sesheke", + "bbox_points": [ + 62.82, + 451.39, + 91.99, + 459.4 + ] + }, + { + "text": "17.49", + "bbox_points": [ + 121.32, + 451.39, + 140.99, + 459.4 + ] + }, + { + "text": "24.30", + "bbox_points": [ + 149.95, + 451.39, + 169.62, + 459.4 + ] + }, + { + "text": "Zambezi", + "bbox_points": [ + 189.87, + 451.39, + 221.39, + 459.4 + ] + }, + { + "text": "–", + "bbox_points": [ + 223.82, + 451.11, + 227.82, + 459.11 + ] + }, + { + "text": "2015", + "bbox_points": [ + 252.68, + 451.39, + 270.34, + 459.4 + ] + }, + { + "text": "to", + "bbox_points": [ + 272.69, + 451.39, + 279.85, + 459.4 + ] + }, + { + "text": "Zambia", + "bbox_points": [ + 298.37, + 451.39, + 326.18, + 459.4 + ] + }, + { + "text": "Water", + "bbox_points": [ + 353.76, + 451.39, + 375.52, + 459.4 + ] + }, + { + "text": "level,", + "bbox_points": [ + 377.92, + 451.39, + 396.5, + 459.4 + ] + }, + { + "text": "Manual", + "bbox_points": [ + 413.23, + 451.39, + 440.95, + 459.4 + ] + }, + { + "text": "þ", + "bbox_points": [ + 442.49, + 451.11, + 448.65, + 459.11 + ] + }, + { + "text": "Good", + "bbox_points": [ + 482.29, + 451.39, + 502.76, + 459.4 + ] + }, + { + "text": "continuous", + "bbox_points": [ + 505.13, + 451.39, + 545.08, + 459.4 + ] + } + ] + }, + { + "text": "1997 to date date rainfall WARMA records on", + "bbox_points": [ + 197.86, + 461.88, + 528.63, + 469.89 + ], + "words": [ + { + "text": "1997", + "bbox_points": [ + 197.86, + 461.88, + 215.52, + 469.89 + ] + }, + { + "text": "to", + "bbox_points": [ + 217.87, + 461.88, + 225.02, + 469.89 + ] + }, + { + "text": "date", + "bbox_points": [ + 227.4, + 461.88, + 242.53, + 469.89 + ] + }, + { + "text": "date", + "bbox_points": [ + 260.67, + 461.88, + 275.81, + 469.89 + ] + }, + { + "text": "rainfall", + "bbox_points": [ + 361.76, + 461.88, + 387.25, + 469.89 + ] + }, + { + "text": "WARMA", + "bbox_points": [ + 421.23, + 461.88, + 454.2, + 469.89 + ] + }, + { + "text": "records", + "bbox_points": [ + 490.34, + 461.88, + 516.92, + 469.89 + ] + }, + { + "text": "on", + "bbox_points": [ + 519.31, + 461.88, + 528.63, + 469.89 + ] + } + ] + }, + { + "text": "GSM water level", + "bbox_points": [ + 421.23, + 472.36, + 529.21, + 480.38 + ], + "words": [ + { + "text": "GSM", + "bbox_points": [ + 421.23, + 472.36, + 440.46, + 480.38 + ] + }, + { + "text": "water", + "bbox_points": [ + 490.34, + 472.36, + 510.16, + 480.38 + ] + }, + { + "text": "level", + "bbox_points": [ + 512.56, + 472.36, + 529.21, + 480.38 + ] + } + ] + }, + { + "text": "Telemetry only", + "bbox_points": [ + 421.23, + 482.85, + 505.98, + 490.87 + ], + "words": [ + { + "text": "Telemetry", + "bbox_points": [ + 421.23, + 482.85, + 457.05, + 490.87 + ] + }, + { + "text": "only", + "bbox_points": [ + 490.34, + 482.85, + 505.98, + 490.87 + ] + } + ] + }, + { + "text": "Underway", + "bbox_points": [ + 421.23, + 493.4, + 458.11, + 501.41 + ], + "words": [ + { + "text": "Underway", + "bbox_points": [ + 421.23, + 493.4, + 458.11, + 501.41 + ] + } + ] + }, + { + "text": "9 Nana’s 17.83 25.65 Zambezi – 2011 to Zambia Water level, Manual þ SADC Good continuous", + "bbox_points": [ + 43.43, + 507.12, + 545.08, + 515.42 + ], + "words": [ + { + "text": "9", + "bbox_points": [ + 43.43, + 507.4, + 47.84, + 515.42 + ] + }, + { + "text": "Nana’s", + "bbox_points": [ + 62.82, + 507.12, + 87.74, + 515.42 + ] + }, + { + "text": "17.83", + "bbox_points": [ + 121.32, + 507.4, + 140.99, + 515.42 + ] + }, + { + "text": "25.65", + "bbox_points": [ + 149.95, + 507.4, + 169.62, + 515.42 + ] + }, + { + "text": "Zambezi", + "bbox_points": [ + 189.87, + 507.4, + 221.39, + 515.42 + ] + }, + { + "text": "–", + "bbox_points": [ + 223.82, + 507.12, + 227.82, + 515.12 + ] + }, + { + "text": "2011", + "bbox_points": [ + 252.68, + 507.4, + 270.34, + 515.42 + ] + }, + { + "text": "to", + "bbox_points": [ + 272.69, + 507.4, + 279.85, + 515.42 + ] + }, + { + "text": "Zambia", + "bbox_points": [ + 298.37, + 507.4, + 326.18, + 515.42 + ] + }, + { + "text": "Water", + "bbox_points": [ + 353.76, + 507.4, + 375.52, + 515.42 + ] + }, + { + "text": "level,", + "bbox_points": [ + 377.92, + 507.4, + 396.5, + 515.42 + ] + }, + { + "text": "Manual", + "bbox_points": [ + 413.23, + 507.4, + 440.95, + 515.41 + ] + }, + { + "text": "þ", + "bbox_points": [ + 442.49, + 507.12, + 448.65, + 515.12 + ] + }, + { + "text": "SADC", + "bbox_points": [ + 450.2, + 507.4, + 473.26, + 515.41 + ] + }, + { + "text": "Good", + "bbox_points": [ + 482.29, + 507.4, + 502.76, + 515.41 + ] + }, + { + "text": "continuous", + "bbox_points": [ + 505.13, + 507.4, + 545.08, + 515.41 + ] + } + ] + }, + { + "text": "Farm 1994 to date date discharge, HYCOS records on", + "bbox_points": [ + 70.81, + 517.89, + 528.63, + 525.9 + ], + "words": [ + { + "text": "Farm", + "bbox_points": [ + 70.81, + 517.89, + 89.72, + 525.9 + ] + }, + { + "text": "1994", + "bbox_points": [ + 197.86, + 517.89, + 215.52, + 525.9 + ] + }, + { + "text": "to", + "bbox_points": [ + 217.87, + 517.89, + 225.02, + 525.9 + ] + }, + { + "text": "date", + "bbox_points": [ + 227.4, + 517.89, + 242.53, + 525.9 + ] + }, + { + "text": "date", + "bbox_points": [ + 260.67, + 517.89, + 275.81, + 525.9 + ] + }, + { + "text": "discharge,", + "bbox_points": [ + 361.76, + 517.89, + 397.97, + 525.9 + ] + }, + { + "text": "HYCOS", + "bbox_points": [ + 421.23, + 517.89, + 450.97, + 525.9 + ] + }, + { + "text": "records", + "bbox_points": [ + 490.34, + 517.89, + 516.92, + 525.9 + ] + }, + { + "text": "on", + "bbox_points": [ + 519.31, + 517.89, + 528.63, + 525.9 + ] + } + ] + }, + { + "text": "rainfall Telemetry flows only", + "bbox_points": [ + 361.76, + 528.09, + 527.13, + 536.39 + ], + "words": [ + { + "text": "rainfall", + "bbox_points": [ + 361.76, + 528.37, + 387.25, + 536.39 + ] + }, + { + "text": "Telemetry", + "bbox_points": [ + 421.23, + 528.37, + 457.05, + 536.39 + ] + }, + { + "text": "flows", + "bbox_points": [ + 490.34, + 528.09, + 509.12, + 536.39 + ] + }, + { + "text": "only", + "bbox_points": [ + 511.48, + 528.37, + 527.13, + 536.39 + ] + } + ] + }, + { + "text": "10 Victoria 17.91 25.85 Zambezi – – Zimbabwe Water level, Manual Good continuous", + "bbox_points": [ + 43.43, + 542.1, + 545.08, + 550.39 + ], + "words": [ + { + "text": "10", + "bbox_points": [ + 43.43, + 542.38, + 52.26, + 550.39 + ] + }, + { + "text": "Victoria", + "bbox_points": [ + 62.82, + 542.38, + 91.94, + 550.39 + ] + }, + { + "text": "17.91", + "bbox_points": [ + 121.32, + 542.38, + 140.99, + 550.39 + ] + }, + { + "text": "25.85", + "bbox_points": [ + 149.95, + 542.38, + 169.62, + 550.39 + ] + }, + { + "text": "Zambezi", + "bbox_points": [ + 189.87, + 542.38, + 221.39, + 550.39 + ] + }, + { + "text": "–", + "bbox_points": [ + 226.21, + 542.1, + 230.2, + 550.1 + ] + }, + { + "text": "–", + "bbox_points": [ + 252.68, + 542.1, + 256.68, + 550.1 + ] + }, + { + "text": "Zimbabwe", + "bbox_points": [ + 298.38, + 542.38, + 336.5, + 550.39 + ] + }, + { + "text": "Water", + "bbox_points": [ + 353.76, + 542.38, + 375.52, + 550.39 + ] + }, + { + "text": "level,", + "bbox_points": [ + 377.92, + 542.38, + 396.51, + 550.39 + ] + }, + { + "text": "Manual", + "bbox_points": [ + 413.23, + 542.38, + 440.95, + 550.39 + ] + }, + { + "text": "Good", + "bbox_points": [ + 482.29, + 542.38, + 502.76, + 550.39 + ] + }, + { + "text": "continuous", + "bbox_points": [ + 505.13, + 542.38, + 545.08, + 550.39 + ] + } + ] + }, + { + "text": "Falls – 1924 to date (ZINWA) discharge records", + "bbox_points": [ + 70.81, + 552.58, + 516.92, + 560.88 + ], + "words": [ + { + "text": "Falls", + "bbox_points": [ + 70.81, + 552.86, + 87.55, + 560.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 89.92, + 552.58, + 93.92, + 560.58 + ] + }, + { + "text": "1924", + "bbox_points": [ + 197.86, + 552.86, + 215.52, 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+Results of the Mann–Kendall trend test on mean monthly values diff --git a/Figures/Mwangala et al. - 2024 - Analysis of streamflow and rainfall trends and variability over the Lake Kariba catchment, Upper Zam/table_03.jpg b/Figures/Mwangala et al. - 2024 - Analysis of streamflow and rainfall trends and variability over the Lake Kariba catchment, Upper Zam/table_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d39b9b87d2c79427aca9b94b27d3b71a7b8e8847 --- /dev/null +++ b/Figures/Mwangala et al. - 2024 - Analysis of streamflow and rainfall trends and variability over the Lake Kariba catchment, Upper Zam/table_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3ae6dedf05c99e19ee2f6e4927b2abb98b032f5367c22faf70eb867b26a5f226 +size 102675 diff --git a/Figures/Mwangala et al. - 2024 - Analysis of streamflow and rainfall trends and variability over the Lake Kariba catchment, Upper Zam/table_03.json b/Figures/Mwangala et al. - 2024 - 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"River", + "bbox_points": [ + 107.15, + 226.89, + 126.21, + 234.9 + ] + }, + { + "text": "at", + "bbox_points": [ + 128.41, + 226.89, + 134.95, + 234.9 + ] + }, + { + "text": "Nanas", + "bbox_points": [ + 137.37, + 226.89, + 160.5, + 234.9 + ] + }, + { + "text": "Farm", + "bbox_points": [ + 162.88, + 226.89, + 181.73, + 234.9 + ] + }, + { + "text": "1994–2022", + "bbox_points": [ + 220.93, + 226.61, + 260.2, + 234.9 + ] + }, + { + "text": "0.47", + "bbox_points": [ + 297.13, + 226.89, + 312.37, + 234.9 + ] + }, + { + "text": "130", + "bbox_points": [ + 358.58, + 226.89, + 371.83, + 234.9 + ] + }, + { + "text": "1,625", + "bbox_points": [ + 398.89, + 226.89, + 418.55, + 234.9 + ] + }, + { + "text": "0.00", + "bbox_points": [ + 448.21, + 226.61, + 463.46, + 234.61 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 530.25, + 226.89, + 545.49, + 234.9 + ] + } + ] + }, + { + "text": "10 Zambezi River at Victoria Falls 1924–2022 0.12 578 105,999 0.08 0.05", + "bbox_points": [ + 43.43, + 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] + }, + { + "text": "Alternative one – Direct supply through taps", + "bbox_points": [ + 43.43, + 294.7, + 203.31, + 302.99 + ], + "words": [ + { + "text": "Alternative", + "bbox_points": [ + 43.43, + 294.98, + 83.09, + 302.99 + ] + }, + { + "text": "one", + "bbox_points": [ + 85.49, + 294.98, + 98.81, + 302.99 + ] + }, + { + "text": "–", + "bbox_points": [ + 101.14, + 294.7, + 105.14, + 302.7 + ] + }, + { + "text": "Direct", + "bbox_points": [ + 107.55, + 294.98, + 130.03, + 302.99 + ] + }, + { + "text": "supply", + "bbox_points": [ + 132.38, + 294.98, + 155.76, + 302.99 + ] + }, + { + "text": "through", + "bbox_points": [ + 158.12, + 294.98, + 186.33, + 302.99 + ] + }, + { + "text": "taps", + "bbox_points": [ + 188.67, + 294.98, + 203.31, + 302.99 + ] + } + ] + }, + { + "text": "i Excavate, supply PVC pipe, lay pipe, fill and compact at a distance 150 m 150 m 10,000 1,500,000 (578)", + "bbox_points": [ + 43.43, + 308.7, + 535.04, + 316.99 + ], + "words": [ + { + "text": "i", + "bbox_points": [ + 43.43, + 308.98, + 45.75, + 316.99 + ] + }, + { + "text": "Excavate,", + "bbox_points": [ + 68.48, + 308.98, + 102.8, + 316.99 + ] + }, + { + "text": "supply", + "bbox_points": [ + 105.22, + 308.98, + 128.61, + 316.99 + ] + }, + { + "text": "PVC", + "bbox_points": [ + 130.96, + 308.98, + 147.7, + 316.99 + ] + }, + { + "text": "pipe,", + "bbox_points": [ + 150.07, + 308.98, + 167.55, + 316.99 + ] + }, + { + "text": "lay", + "bbox_points": [ + 169.91, + 308.98, + 180.2, + 316.99 + ] + }, + { + "text": "pipe,", + "bbox_points": [ + 182.61, + 308.98, + 200.09, + 316.99 + ] + }, + { + "text": "fill", + "bbox_points": [ + 202.45, + 308.7, + 211.81, + 316.99 + ] + }, + { + "text": "and", + "bbox_points": [ + 214.24, + 308.98, + 227.72, + 316.99 + ] + }, + { + "text": "compact", + "bbox_points": [ + 230.06, + 308.98, + 260.73, + 316.99 + ] + }, + { + "text": "at", + "bbox_points": [ + 263.11, + 308.98, + 269.71, + 316.99 + ] + }, + { + "text": "a", + "bbox_points": [ + 272.07, + 308.98, + 276.23, + 316.99 + ] + }, + { + "text": "distance", + "bbox_points": [ + 278.65, + 308.98, + 308.16, + 316.99 + ] + }, + { + "text": "150", + "bbox_points": [ + 310.51, + 308.98, + 323.75, + 316.99 + ] + }, + { + "text": "m", + "bbox_points": [ + 325.76, + 308.98, + 332.76, + 316.99 + ] + }, + { + "text": "150", + "bbox_points": [ + 370.43, + 308.98, + 383.68, + 316.99 + ] + }, + { + "text": "m", + "bbox_points": [ + 397.53, + 308.98, + 404.53, + 316.99 + ] + }, + { + "text": "10,000", + "bbox_points": [ + 427.69, + 308.98, + 451.77, + 316.99 + ] + }, + { + "text": "1,500,000", + "bbox_points": [ + 479.11, + 308.98, + 513.9, + 316.99 + ] + }, + { + "text": "(578)", + "bbox_points": [ + 516.3, + 308.98, + 535.04, + 316.99 + ] + } + ] + }, + { + "text": "ii 3-horsepower motor 1 No 750,000 750,000 (289)", + "bbox_points": [ + 43.43, + 322.98, + 528.63, + 331.0 + ], + "words": [ + { + "text": "ii", + "bbox_points": [ + 43.43, + 322.98, + 48.08, + 331.0 + ] + }, + { + "text": "3-horsepower", + "bbox_points": [ + 68.48, + 322.98, + 117.03, + 331.0 + ] + }, + { + "text": "motor", + "bbox_points": [ + 119.39, + 322.98, + 141.28, + 331.0 + ] + }, + { + "text": "1", + "bbox_points": [ + 370.43, + 322.98, + 374.85, + 331.0 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 322.98, + 408.85, + 331.0 + ] + }, + { + "text": "750,000", + "bbox_points": [ + 427.69, + 322.98, + 456.18, + 331.0 + ] + }, + { + "text": "750,000", + "bbox_points": [ + 479.11, + 322.98, + 507.61, + 331.0 + ] + }, + { + "text": "(289)", + "bbox_points": [ + 509.89, + 322.98, + 528.63, + 331.0 + ] + } + ] + }, + { + "text": "iii Supply and fix 3,000 L Simtank complete with fittings and steel stands and all 1 No 3,000,000 3,000,000 (1,156)", + "bbox_points": [ + 43.43, + 336.71, + 541.45, + 345.0 + ], + "words": [ + { + "text": "iii", + "bbox_points": [ + 43.43, + 336.99, + 50.41, + 345.0 + ] + }, + { + "text": "Supply", + "bbox_points": [ + 68.48, + 336.99, + 93.28, + 345.0 + ] + }, + { + "text": "and", + "bbox_points": [ + 95.47, + 336.99, + 108.95, + 345.0 + ] + }, + { + "text": "fix", + "bbox_points": [ + 111.34, + 336.71, + 120.21, + 345.0 + ] + }, + { + "text": "3,000", + "bbox_points": [ + 122.63, + 336.99, + 142.29, + 345.0 + ] + }, + { + "text": "L", + "bbox_points": [ + 144.23, + 336.99, + 149.55, + 345.0 + ] + }, + { + "text": "Simtank", + "bbox_points": [ + 151.94, + 336.99, + 182.06, + 345.0 + ] + }, + { + "text": "complete", + "bbox_points": [ + 184.42, + 336.99, + 217.48, + 345.0 + ] + }, + { + "text": "with", + "bbox_points": [ + 219.63, + 336.99, + 235.6, + 345.0 + ] + }, + { + "text": "fittings", + "bbox_points": [ + 238.0, + 336.71, + 262.25, + 345.0 + ] + }, + { + "text": "and", + "bbox_points": [ + 264.64, + 336.99, + 278.12, + 345.0 + ] + }, + { + "text": "steel", + "bbox_points": [ + 280.52, + 336.99, + 296.54, + 345.0 + ] + }, + { + "text": "stands", + "bbox_points": [ + 298.94, + 336.99, + 321.44, + 345.0 + ] + }, + { + "text": "and", + "bbox_points": [ + 323.83, + 336.99, + 337.31, + 345.0 + ] + }, + { + "text": "all", + "bbox_points": [ + 339.7, + 336.99, + 348.52, + 345.0 + ] + }, + { + "text": "1", + "bbox_points": [ + 370.43, + 336.99, + 374.85, + 345.0 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 336.99, + 408.85, + 345.0 + ] + }, + { + "text": "3,000,000", + "bbox_points": [ + 427.69, + 336.99, + 462.6, + 345.0 + ] + }, + { + "text": "3,000,000", + "bbox_points": [ + 479.11, + 336.99, + 513.9, + 345.0 + ] + }, + { + "text": "(1,156)", + "bbox_points": [ + 516.3, + 336.99, + 541.45, + 345.0 + ] + } + ] + }, + { + "text": "other fittings", + "bbox_points": [ + 76.48, + 347.19, + 122.22, + 355.49 + ], + "words": [ + { + "text": "other", + "bbox_points": [ + 76.48, + 347.47, + 95.53, + 355.49 + ] + }, + { + "text": "fittings", + "bbox_points": [ + 97.91, + 347.19, + 122.22, + 355.49 + ] + } + ] + }, + { + "text": "Total of alternative no. 1 Tshs (usd) 5,250,000 (2,023)", + "bbox_points": [ + 68.48, + 361.45, + 541.12, + 369.45 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 68.48, + 361.45, + 87.45, + 369.45 + ] + }, + { + "text": "of", + "bbox_points": [ + 89.86, + 361.45, + 97.18, + 369.45 + ] + }, + { + "text": "alternative", + "bbox_points": [ + 99.55, + 361.45, + 139.09, + 369.45 + ] + }, + { + "text": "no.", + "bbox_points": [ + 141.51, + 361.45, + 153.08, + 369.45 + ] + }, + { + "text": "1", + "bbox_points": [ + 155.45, + 361.45, + 159.87, + 369.45 + ] + }, + { + "text": "Tshs", + "bbox_points": [ + 427.69, + 361.45, + 444.52, + 369.45 + ] + }, + { + "text": "(usd)", + "bbox_points": [ + 446.91, + 361.45, + 465.22, + 369.45 + ] + }, + { + "text": "5,250,000", + "bbox_points": [ + 479.11, + 361.45, + 513.9, + 369.45 + ] + }, + { + "text": "(2,023)", + "bbox_points": [ + 516.3, + 361.45, + 541.12, + 369.45 + ] + } + ] + }, + { + "text": "Alternative two – Rainwater gutter to harvest rainwater from the building", + "bbox_points": [ + 43.43, + 381.21, + 306.58, + 389.5 + ], + "words": [ + { + "text": "Alternative", + "bbox_points": [ + 43.43, + 381.49, + 83.09, + 389.5 + ] + }, + { + "text": "two", + "bbox_points": [ + 85.49, + 381.49, + 98.97, + 389.5 + ] + }, + { + "text": "–", + "bbox_points": [ + 101.31, + 381.21, + 105.31, + 389.21 + ] + }, + { + "text": "Rainwater", + "bbox_points": [ + 107.72, + 381.49, + 144.38, + 389.5 + ] + }, + { + "text": "gutter", + "bbox_points": [ + 146.78, + 381.49, + 167.67, + 389.5 + ] + }, + { + "text": "to", + "bbox_points": [ + 170.02, + 381.49, + 177.17, + 389.5 + ] + }, + { + "text": "harvest", + "bbox_points": [ + 179.55, + 381.49, + 205.31, + 389.5 + ] + }, + { + "text": "rainwater", + "bbox_points": [ + 207.72, + 381.49, + 241.78, + 389.5 + ] + }, + { + "text": "from", + "bbox_points": [ + 244.18, + 381.49, + 261.19, + 389.5 + ] + }, + { + "text": "the", + "bbox_points": [ + 263.56, + 381.49, + 274.88, + 389.5 + ] + }, + { + "text": "building", + "bbox_points": [ + 277.28, + 381.49, + 306.58, + 389.5 + ] + } + ] + }, + { + "text": "i Supply and install 100 mm UPVC gutter 33 m 25,000 825,000", + "bbox_points": [ + 43.43, + 395.49, + 507.61, + 403.51 + ], + "words": [ + { + "text": "i", + "bbox_points": [ + 43.43, + 395.49, + 45.75, + 403.51 + ] + }, + { + "text": "Supply", + "bbox_points": [ + 68.48, + 395.49, + 93.28, + 403.51 + ] + }, + { + "text": "and", + "bbox_points": [ + 95.47, + 395.49, + 108.95, + 403.51 + ] + }, + { + "text": "install", + "bbox_points": [ + 111.34, + 395.49, + 132.94, + 403.51 + ] + }, + { + "text": "100", + "bbox_points": [ + 135.33, + 395.49, + 148.57, + 403.51 + ] + }, + { + "text": "mm", + "bbox_points": [ + 150.52, + 395.49, + 164.52, + 403.51 + ] + }, + { + "text": "UPVC", + "bbox_points": [ + 166.9, + 395.49, + 189.98, + 403.51 + ] + }, + { + "text": "gutter", + "bbox_points": [ + 192.3, + 395.49, + 213.19, + 403.51 + ] + }, + { + "text": "33", + "bbox_points": [ + 370.43, + 395.49, + 379.26, + 403.51 + ] + }, + { + "text": "m", + "bbox_points": [ + 397.53, + 395.49, + 404.53, + 403.51 + ] + }, + { + "text": "25,000", + "bbox_points": [ + 427.69, + 395.49, + 451.77, + 403.51 + ] + }, + { + "text": "825,000", + "bbox_points": [ + 479.11, + 395.49, + 507.61, + 403.51 + ] + } + ] + }, + { + "text": "ii 75 mm downpipe socketed 9 m 6,000 54,000", + "bbox_points": [ + 43.43, + 409.49, + 503.19, + 417.51 + ], + "words": [ + { + "text": "ii", + "bbox_points": [ + 43.43, + 409.49, + 48.08, + 417.51 + ] + }, + { + "text": "75", + "bbox_points": [ + 68.48, + 409.49, + 77.32, + 417.51 + ] + }, + { + "text": "mm", + "bbox_points": [ + 79.31, + 409.49, + 93.31, + 417.51 + ] + }, + { + "text": "downpipe", + "bbox_points": [ + 95.64, + 409.49, + 131.15, + 417.51 + ] + }, + { + "text": "socketed", + "bbox_points": [ + 133.51, + 409.49, + 164.93, + 417.51 + ] + }, + { + "text": "9", + "bbox_points": [ + 370.43, + 409.49, + 374.85, + 417.51 + ] + }, + { + "text": "m", + "bbox_points": [ + 397.53, + 409.49, + 404.53, + 417.51 + ] + }, + { + "text": "6,000", + "bbox_points": [ + 427.69, + 409.49, + 447.35, + 417.51 + ] + }, + { + "text": "54,000", + "bbox_points": [ + 479.11, + 409.49, + 503.19, + 417.51 + ] + } + ] + }, + { + "text": "iii Gutter angle 5 No 15,000 75,000", + "bbox_points": [ + 43.43, + 423.5, + 503.19, + 431.51 + ], + "words": [ + { + "text": "iii", + "bbox_points": [ + 43.43, + 423.5, + 50.41, + 431.51 + ] + }, + { + "text": "Gutter", + "bbox_points": [ + 68.48, + 423.5, + 92.12, + 431.51 + ] + }, + { + "text": "angle", + "bbox_points": [ + 94.34, + 423.5, + 113.57, + 431.51 + ] + }, + { + "text": "5", + "bbox_points": [ + 370.43, + 423.5, + 374.85, + 431.51 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 423.5, + 408.85, + 431.51 + ] + }, + { + "text": "15,000", + "bbox_points": [ + 427.69, + 423.5, + 451.77, + 431.51 + ] + }, + { + "text": "75,000", + "bbox_points": [ + 479.11, + 423.5, + 503.19, + 431.51 + ] + } + ] + }, + { + "text": "iv Gutter external angle 10 No 15,000 150,000", + "bbox_points": [ + 43.43, + 437.5, + 507.61, + 445.52 + ], + "words": [ + { + "text": "iv", + "bbox_points": [ + 43.43, + 437.5, + 49.91, + 445.52 + ] + }, + { + "text": "Gutter", + "bbox_points": [ + 68.48, + 437.5, + 92.12, + 445.52 + ] + }, + { + "text": "external", + "bbox_points": [ + 94.34, + 437.5, + 123.26, + 445.52 + ] + }, + { + "text": "angle", + "bbox_points": [ + 125.63, + 437.5, + 144.86, + 445.52 + ] + }, + { + "text": "10", + "bbox_points": [ + 370.43, + 437.5, + 379.26, + 445.52 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 437.5, + 408.85, + 445.52 + ] + }, + { + "text": "15,000", + "bbox_points": [ + 427.69, + 437.5, + 451.77, + 445.52 + ] + }, + { + "text": "150,000", + "bbox_points": [ + 479.11, + 437.5, + 507.61, + 445.52 + ] + } + ] + }, + { + "text": "v 75 mm bend 14 No 6,000 84,000", + "bbox_points": [ + 43.43, + 451.5, + 503.19, + 459.52 + ], + "words": [ + { + "text": "v", + "bbox_points": [ + 43.43, + 451.5, + 47.59, + 459.52 + ] + }, + { + "text": "75", + "bbox_points": [ + 68.48, + 451.5, + 77.32, + 459.52 + ] + }, + { + "text": "mm", + "bbox_points": [ + 79.31, + 451.5, + 93.31, + 459.52 + ] + }, + { + "text": "bend", + "bbox_points": [ + 95.64, + 451.5, + 113.38, + 459.52 + ] + }, + { + "text": "14", + "bbox_points": [ + 370.43, + 451.5, + 379.26, + 459.52 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 451.5, + 408.85, + 459.52 + ] + }, + { + "text": "6,000", + "bbox_points": [ + 427.69, + 451.5, + 447.35, + 459.52 + ] + }, + { + "text": "84,000", + "bbox_points": [ + 479.11, + 451.5, + 503.19, + 459.52 + ] + } + ] + }, + { + "text": "vi Fascia bracket 100 No 5,000 500,000", + "bbox_points": [ + 43.43, + 465.51, + 507.6, + 473.52 + ], + "words": [ + { + "text": "vi", + "bbox_points": [ + 43.43, + 465.51, + 49.91, + 473.52 + ] + }, + { + "text": "Fascia", + "bbox_points": [ + 68.48, + 465.51, + 91.05, + 473.52 + ] + }, + { + "text": "bracket", + "bbox_points": [ + 93.43, + 465.51, + 119.73, + 473.52 + ] + }, + { + "text": "100", + "bbox_points": [ + 370.43, + 465.51, + 383.68, + 473.52 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 465.51, + 408.85, + 473.52 + ] + }, + { + "text": "5,000", + "bbox_points": [ + 427.69, + 465.51, + 447.35, + 473.52 + ] + }, + { + "text": "500,000", + "bbox_points": [ + 479.11, + 465.51, + 507.6, + 473.52 + ] + } + ] + }, + { + "text": "vii 75 mm down clip 18 No 10,000 180,000", + "bbox_points": [ + 43.43, + 479.51, + 507.61, + 487.53 + ], + "words": [ + { + "text": "vii", + "bbox_points": [ + 43.43, + 479.51, + 52.24, + 487.53 + ] + }, + { + "text": "75", + "bbox_points": [ + 68.48, + 479.51, + 77.32, + 487.53 + ] + }, + { + "text": "mm", + "bbox_points": [ + 79.31, + 479.51, + 93.31, + 487.53 + ] + }, + { + "text": "down", + "bbox_points": [ + 95.64, + 479.51, + 115.67, + 487.53 + ] + }, + { + "text": "clip", + "bbox_points": [ + 118.09, + 479.51, + 131.32, + 487.53 + ] + }, + { + "text": "18", + "bbox_points": [ + 370.43, + 479.51, + 379.26, + 487.53 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 479.51, + 408.85, + 487.53 + ] + }, + { + "text": "10,000", + "bbox_points": [ + 427.69, + 479.51, + 451.77, + 487.53 + ] + }, + { + "text": "180,000", + "bbox_points": [ + 479.11, + 479.51, + 507.61, + 487.53 + ] + } + ] + }, + { + "text": "viii Gutter union clip 8 No 10,000 80,000", + "bbox_points": [ + 43.43, + 493.51, + 503.19, + 501.53 + ], + "words": [ + { + "text": "viii", + "bbox_points": [ + 43.43, + 493.51, + 54.57, + 501.53 + ] + }, + { + "text": "Gutter", + "bbox_points": [ + 68.48, + 493.51, + 92.12, + 501.53 + ] + }, + { + "text": "union", + "bbox_points": [ + 94.51, + 493.51, + 115.47, + 501.53 + ] + }, + { + "text": "clip", + "bbox_points": [ + 117.81, + 493.51, + 131.04, + 501.53 + ] + }, + { + "text": "8", + "bbox_points": [ + 370.43, + 493.51, + 374.85, + 501.53 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 493.51, + 408.85, + 501.53 + ] + }, + { + "text": "10,000", + "bbox_points": [ + 427.69, + 493.51, + 451.77, + 501.53 + ] + }, + { + "text": "80,000", + "bbox_points": [ + 479.11, + 493.51, + 503.19, + 501.53 + ] + } + ] + }, + { + "text": "ix 100 mm outlet drop 5 No 10,000 50,000", + "bbox_points": [ + 43.43, + 507.52, + 503.19, + 515.53 + ], + "words": [ + { + "text": "ix", + "bbox_points": [ + 43.43, + 507.52, + 49.91, + 515.53 + ] + }, + { + "text": "100", + "bbox_points": [ + 68.48, + 507.52, + 81.73, + 515.53 + ] + }, + { + "text": "mm", + "bbox_points": [ + 83.68, + 507.52, + 97.68, + 515.53 + ] + }, + { + "text": "outlet", + "bbox_points": [ + 100.06, + 507.52, + 120.69, + 515.53 + ] + }, + { + "text": "drop", + "bbox_points": [ + 123.02, + 507.52, + 139.77, + 515.53 + ] + }, + { + "text": "5", + "bbox_points": [ + 370.43, + 507.52, + 374.85, + 515.53 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 507.52, + 408.85, + 515.53 + ] + }, + { + "text": "10,000", + "bbox_points": [ + 427.69, + 507.52, + 451.77, + 515.53 + ] + }, + { + "text": "50,000", + "bbox_points": [ + 479.11, + 507.52, + 503.19, + 515.53 + ] + } + ] + }, + { + "text": "x Alco flex white 280 ml 1 No 35,000 35,000", + "bbox_points": [ + 43.43, + 521.24, + 503.19, + 529.53 + ], + "words": [ + { + "text": "x", + "bbox_points": [ + 43.43, + 521.52, + 47.59, + 529.53 + ] + }, + { + "text": "Alco", + "bbox_points": [ + 68.48, + 521.52, + 85.39, + 529.53 + ] + }, + { + "text": "flex", + "bbox_points": [ + 87.76, + 521.24, + 100.48, + 529.53 + ] + }, + { + "text": "white", + "bbox_points": [ + 102.84, + 521.52, + 122.82, + 529.53 + ] + }, + { + "text": "280", + "bbox_points": [ + 125.18, + 521.52, + 138.43, + 529.53 + ] + }, + { + "text": "ml", + "bbox_points": [ + 140.43, + 521.52, + 149.76, + 529.53 + ] + }, + { + "text": "1", + "bbox_points": [ + 370.43, + 521.52, + 374.85, + 529.53 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 521.52, + 408.85, + 529.53 + ] + }, + { + "text": "35,000", + "bbox_points": [ + 427.69, + 521.52, + 451.77, + 529.53 + ] + }, + { + "text": "35,000", + "bbox_points": [ + 479.11, + 521.52, + 503.19, + 529.53 + ] + } + ] + }, + { + "text": "xi 50 mm diameter overhanging pipes to reserve simtank þ all fixtures and fittings 5 m 50,000 250,000", + "bbox_points": [ + 43.43, + 535.24, + 507.6, + 543.54 + ], + "words": [ + { + "text": "xi", + "bbox_points": [ + 43.43, + 535.52, + 49.91, + 543.54 + ] + }, + { + "text": "50", + "bbox_points": [ + 68.48, + 535.52, + 77.32, + 543.54 + ] + }, + { + "text": "mm", + "bbox_points": [ + 79.31, + 535.52, + 93.31, + 543.54 + ] + }, + { + "text": "diameter", + "bbox_points": [ + 95.64, + 535.52, + 127.44, + 543.54 + ] + }, + { + "text": "overhanging", + "bbox_points": [ + 129.6, + 535.52, + 173.87, + 543.54 + ] + }, + { + "text": "pipes", + "bbox_points": [ + 176.2, + 535.52, + 195.01, + 543.54 + ] + }, + { + "text": "to", + "bbox_points": [ + 197.23, + 535.52, + 204.39, + 543.54 + ] + }, + { + "text": "reserve", + "bbox_points": [ + 206.76, + 535.52, + 232.19, + 543.54 + ] + }, + { + "text": "simtank", + "bbox_points": [ + 234.6, + 535.52, + 263.31, + 543.54 + ] + }, + { + "text": "þ", + "bbox_points": [ + 264.81, + 535.24, + 270.97, + 543.24 + ] + }, + { + "text": "all", + "bbox_points": [ + 272.52, + 535.52, + 281.34, + 543.54 + ] + }, + { + "text": "fixtures", + "bbox_points": [ + 283.75, + 535.24, + 310.12, + 543.54 + ] + }, + { + "text": "and", + "bbox_points": [ + 312.49, + 535.52, + 325.97, + 543.54 + ] + }, + { + "text": "fittings", + "bbox_points": [ + 328.36, + 535.24, + 352.62, + 543.54 + ] + }, + { + "text": "5", + "bbox_points": [ + 370.43, + 535.52, + 374.85, + 543.54 + ] + }, + { + "text": "m", + "bbox_points": [ + 397.53, + 535.52, + 404.53, + 543.54 + ] + }, + { + "text": "50,000", + "bbox_points": [ + 427.69, + 535.52, + 451.77, + 543.54 + ] + }, + { + "text": "250,000", + "bbox_points": [ + 479.11, + 535.52, + 507.6, + 543.54 + ] + } + ] + }, + { + "text": "xii Supply and fix 3,000 L simtank complete with fittings and steel stands and all 1 No 3,000,000 3,000,000", + "bbox_points": [ + 43.43, + 549.24, + 513.9, + 557.54 + ], + "words": [ + { + "text": "xii", + "bbox_points": [ + 43.43, + 549.52, + 52.24, + 557.54 + ] + }, + { + "text": "Supply", + "bbox_points": [ + 68.48, + 549.52, + 93.28, + 557.54 + ] + }, + { + "text": "and", + "bbox_points": [ + 95.47, + 549.52, + 108.95, + 557.54 + ] + }, + { + "text": "fix", + "bbox_points": [ + 111.34, + 549.24, + 120.21, + 557.54 + ] + }, + { + "text": "3,000", + "bbox_points": [ + 122.63, + 549.52, + 142.29, + 557.54 + ] + }, + { + "text": "L", + "bbox_points": [ + 144.23, + 549.52, + 149.55, + 557.54 + ] + }, + { + "text": "simtank", + "bbox_points": [ + 151.94, + 549.52, + 180.65, + 557.54 + ] + }, + { + "text": "complete", + "bbox_points": [ + 183.0, + 549.52, + 216.06, + 557.54 + ] + }, + { + "text": "with", + "bbox_points": [ + 218.21, + 549.52, + 234.19, + 557.54 + ] + }, + { + "text": "fittings", + "bbox_points": [ + 236.58, + 549.24, + 260.84, + 557.54 + ] + }, + { + "text": "and", + "bbox_points": [ + 263.22, + 549.52, + 276.7, + 557.54 + ] + }, + { + "text": "steel", + "bbox_points": [ + 279.1, + 549.52, + 295.12, + 557.54 + ] + }, + { + "text": "stands", + "bbox_points": [ + 297.52, + 549.52, + 320.03, + 557.54 + ] + }, + { + "text": "and", + "bbox_points": [ + 322.41, + 549.52, + 335.89, + 557.54 + ] + }, + { + "text": "all", + "bbox_points": [ + 338.29, + 549.52, + 347.1, + 557.54 + ] + }, + { + "text": "1", + "bbox_points": [ + 370.43, + 549.52, + 374.85, + 557.54 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 549.52, + 408.85, + 557.54 + ] + }, + { + "text": "3,000,000", + "bbox_points": [ + 427.69, + 549.52, + 462.6, + 557.54 + ] + }, + { + "text": "3,000,000", + "bbox_points": [ + 479.11, + 549.52, + 513.9, + 557.54 + ] + } + ] + }, + { + "text": "other fittings", + "bbox_points": [ + 76.48, + 559.73, + 122.22, + 568.03 + ], + "words": [ + { + "text": "other", + "bbox_points": [ + 76.48, + 560.01, + 95.53, + 568.03 + ] + }, + { + "text": "fittings", + "bbox_points": [ + 97.91, + 559.73, + 122.22, + 568.03 + ] + } + ] + }, + { + "text": "xiii Construction of 6,000 L concrete cold water storage tank (constructed with 1 No 5,000,000 5,000,000", + "bbox_points": [ + 43.43, + 574.02, + 513.9, + 582.03 + ], + "words": [ + { + "text": "xiii", + "bbox_points": [ + 43.43, + 574.02, + 54.57, + 582.03 + ] + }, + { + "text": "Construction", + "bbox_points": [ + 68.48, + 574.02, + 115.05, + 582.03 + ] + }, + { + "text": "of", + "bbox_points": [ + 117.41, + 574.02, + 124.48, + 582.03 + ] + }, + { + "text": "6,000", + "bbox_points": [ + 126.88, + 574.02, + 146.54, + 582.03 + ] + }, + { + "text": "L", + "bbox_points": [ + 148.48, + 574.02, + 153.81, + 582.03 + ] + }, + { + "text": "concrete", + "bbox_points": [ + 156.19, + 574.02, + 187.06, + 582.03 + ] + }, + { + "text": "cold", + "bbox_points": [ + 189.41, + 574.02, + 204.89, + 582.03 + ] + }, + { + "text": "water", + "bbox_points": [ + 207.27, + 574.02, + 227.15, + 582.03 + ] + }, + { + "text": "storage", + "bbox_points": [ + 229.49, + 574.02, + 254.98, + 582.03 + ] + }, + { + "text": "tank", + "bbox_points": [ + 257.33, + 574.02, + 273.39, + 582.03 + ] + }, + { + "text": "(constructed", + "bbox_points": [ + 275.76, + 574.02, + 320.44, + 582.03 + ] + }, + { + "text": "with", + "bbox_points": [ + 322.75, + 574.02, + 338.73, + 582.03 + ] + }, + { + "text": "1", + "bbox_points": [ + 370.43, + 574.02, + 374.85, + 582.03 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 574.02, + 408.85, + 582.03 + ] + }, + { + "text": "5,000,000", + "bbox_points": [ + 427.69, + 574.02, + 462.6, + 582.03 + ] + }, + { + "text": "5,000,000", + "bbox_points": [ + 479.11, + 574.02, + 513.9, + 582.03 + ] + } + ] + }, + { + "text": "burnt bricks header walling with braced with heavy BRC wire meshes)", + "bbox_points": [ + 76.48, + 584.5, + 330.58, + 592.52 + ], + "words": [ + { + "text": "burnt", + "bbox_points": [ + 76.48, + 584.5, + 95.95, + 592.52 + ] + }, + { + "text": "bricks", + "bbox_points": [ + 98.31, + 584.5, + 120.11, + 592.52 + ] + }, + { + "text": "header", + "bbox_points": [ + 122.51, + 584.5, + 147.15, + 592.52 + ] + }, + { + "text": "walling", + "bbox_points": [ + 149.5, + 584.5, + 175.51, + 592.52 + ] + }, + { + "text": "with", + "bbox_points": [ + 177.9, + 584.5, + 193.88, + 592.52 + ] + }, + { + "text": "braced", + "bbox_points": [ + 196.21, + 584.5, + 220.19, + 592.52 + ] + }, + { + "text": "with", + "bbox_points": [ + 222.58, + 584.5, + 238.55, + 592.52 + ] + }, + { + "text": "heavy", + "bbox_points": [ + 240.89, + 584.5, + 261.8, + 592.52 + ] + }, + { + "text": "BRC", + "bbox_points": [ + 264.13, + 584.5, + 281.03, + 592.52 + ] + }, + { + "text": "wire", + "bbox_points": [ + 283.41, + 584.5, + 299.03, + 592.52 + ] + }, + { + "text": "meshes)", + "bbox_points": [ + 301.44, + 584.5, + 330.58, + 592.52 + ] + } + ] + }, + { + "text": "Total of alternative 2 Tshs (usd) 10,283,000 (3,963)", + "bbox_points": [ + 68.48, + 598.48, + 545.48, + 606.48 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 68.48, + 598.48, + 87.45, + 606.48 + ] + }, + { + "text": "of", + "bbox_points": [ + 89.86, + 598.48, + 97.18, + 606.48 + ] + }, + { + "text": "alternative", + "bbox_points": [ + 99.55, + 598.48, + 139.09, + 606.48 + ] + }, + { + "text": "2", + "bbox_points": [ + 141.51, + 598.48, + 145.92, + 606.48 + ] + }, + { + "text": "Tshs", + "bbox_points": [ + 427.69, + 598.48, + 444.52, + 606.48 + ] + }, + { + "text": "(usd)", + "bbox_points": [ + 446.91, + 598.48, + 465.22, + 606.48 + ] + }, + { + "text": "10,283,000", + "bbox_points": [ + 479.11, + 598.48, + 518.32, + 606.48 + ] + }, + { + "text": "(3,963)", + "bbox_points": [ + 520.66, + 598.48, + 545.48, + 606.48 + ] + } + ] + }, + { + "text": "Alternative three – Drilled well 50 m deep", + "bbox_points": [ + 43.43, + 618.24, + 194.71, + 626.54 + ], + "words": [ + { + "text": "Alternative", + "bbox_points": [ + 43.43, + 618.52, + 83.09, + 626.54 + ] + }, + { + "text": "three", + "bbox_points": [ + 85.49, + 618.52, + 103.75, + 626.54 + ] + }, + { + "text": "–", + "bbox_points": [ + 106.13, + 618.24, + 110.13, + 626.24 + ] + }, + { + "text": "Drilled", + "bbox_points": [ + 112.53, + 618.52, + 137.83, + 626.54 + ] + }, + { + "text": "well", + "bbox_points": [ + 140.2, + 618.52, + 154.98, + 626.54 + ] + }, + { + "text": "50", + "bbox_points": [ + 157.38, + 618.52, + 166.21, + 626.54 + ] + }, + { + "text": "m", + "bbox_points": [ + 168.15, + 618.52, + 175.15, + 626.54 + ] + }, + { + "text": "deep", + "bbox_points": [ + 177.56, + 618.52, + 194.71, + 626.54 + ] + } + ] + }, + { + "text": "i Survey of the water in the area 1 Sum 450,000 450,000", + "bbox_points": [ + 43.43, + 632.52, + 507.61, + 640.54 + ], + "words": [ + { + "text": "i", + "bbox_points": [ + 43.43, + 632.52, + 45.75, + 640.54 + ] + }, + { + "text": "Survey", + "bbox_points": [ + 68.48, + 632.52, + 92.78, + 640.54 + ] + }, + { + "text": "of", + "bbox_points": [ + 94.96, + 632.52, + 102.03, + 640.54 + ] + }, + { + "text": "the", + "bbox_points": [ + 104.43, + 632.52, + 115.75, + 640.54 + ] + }, + { + "text": "water", + "bbox_points": [ + 117.98, + 632.52, + 137.86, + 640.54 + ] + }, + { + "text": "in", + "bbox_points": [ + 140.2, + 632.52, + 147.27, + 640.54 + ] + }, + { + "text": "the", + "bbox_points": [ + 149.67, + 632.52, + 160.99, + 640.54 + ] + }, + { + "text": "area", + "bbox_points": [ + 163.39, + 632.52, + 178.69, + 640.54 + ] + }, + { + "text": "1", + "bbox_points": [ + 370.43, + 632.52, + 374.85, + 640.54 + ] + }, + { + "text": "Sum", + "bbox_points": [ + 397.53, + 632.52, + 413.85, + 640.54 + ] + }, + { + "text": "450,000", + "bbox_points": [ + 427.69, + 632.52, + 456.18, + 640.54 + ] + }, + { + "text": "450,000", + "bbox_points": [ + 479.11, + 632.52, + 507.61, + 640.54 + ] + } + ] + }, + { + "text": "ii Drilling and tube installations 50 m 115,000 5,750,000", + "bbox_points": [ + 43.43, + 646.47, + 513.9, + 654.48 + ], + "words": [ + { + "text": "ii", + "bbox_points": [ + 43.43, + 646.47, + 48.08, + 654.48 + ] + }, + { + "text": "Drilling", + "bbox_points": [ + 68.48, + 646.47, + 96.28, + 654.48 + ] + }, + { + "text": "and", + "bbox_points": [ + 98.64, + 646.47, + 112.12, + 654.48 + ] + }, + { + "text": "tube", + "bbox_points": [ + 114.52, + 646.47, + 130.09, + 654.48 + ] + }, + { + "text": "installations", + "bbox_points": [ + 132.43, + 646.47, + 175.55, + 654.48 + ] + }, + { + "text": "50", + "bbox_points": [ + 370.43, + 646.47, + 379.26, + 654.48 + ] + }, + { + "text": "m", + "bbox_points": [ + 397.53, + 646.47, + 404.53, + 654.48 + ] + }, + { + "text": "115,000", + "bbox_points": [ + 427.69, + 646.47, + 456.18, + 654.48 + ] + }, + { + "text": "5,750,000", + "bbox_points": [ + 479.11, + 646.47, + 513.9, + 654.48 + ] + } + ] + }, + { + "text": "iii Pump machine 1 No 2,300,000 2,300,000", + "bbox_points": [ + 43.43, + 660.47, + 513.9, + 668.49 + ], + "words": [ + { + "text": "iii", + "bbox_points": [ + 43.43, + 660.47, + 50.41, + 668.49 + ] + }, + { + "text": "Pump", + "bbox_points": [ + 68.48, + 660.47, + 89.64, + 668.49 + ] + }, + { + "text": "machine", + "bbox_points": [ + 92.01, + 660.47, + 122.77, + 668.49 + ] + }, + { + "text": "1", + "bbox_points": [ + 370.43, + 660.47, + 374.85, + 668.49 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 660.47, + 408.85, + 668.49 + ] + }, + { + "text": "2,300,000", + "bbox_points": [ + 427.69, + 660.47, + 462.6, + 668.49 + ] + }, + { + "text": "2,300,000", + "bbox_points": [ + 479.11, + 660.47, + 513.9, + 668.49 + ] + } + ] + }, + { + "text": "iv Supply and fix 3,000 L simtank complete with fittings and steel stands and all 1 No 3,000,000 3,000,000", + "bbox_points": [ + 43.43, + 674.19, + 513.9, + 682.49 + ], + "words": [ + { + "text": "iv", + "bbox_points": [ + 43.43, + 674.47, + 49.91, + 682.49 + ] + }, + { + "text": "Supply", + "bbox_points": [ + 68.48, + 674.47, + 93.28, + 682.49 + ] + }, + { + "text": "and", + "bbox_points": [ + 95.47, + 674.47, + 108.95, + 682.49 + ] + }, + { + "text": "fix", + "bbox_points": [ + 111.34, + 674.19, + 120.21, + 682.49 + ] + }, + { + "text": "3,000", + "bbox_points": [ + 122.63, + 674.47, + 142.29, + 682.49 + ] + }, + { + "text": "L", + "bbox_points": [ + 144.23, + 674.47, + 149.55, + 682.49 + ] + }, + { + "text": "simtank", + "bbox_points": [ + 151.94, + 674.47, + 180.65, + 682.49 + ] + }, + { + "text": "complete", + "bbox_points": [ + 183.0, + 674.47, + 216.06, + 682.49 + ] + }, + { + "text": "with", + "bbox_points": [ + 218.21, + 674.47, + 234.19, + 682.49 + ] + }, + { + "text": "fittings", + "bbox_points": [ + 236.58, + 674.19, + 260.84, + 682.49 + ] + }, + { + "text": "and", + "bbox_points": [ + 263.22, + 674.47, + 276.7, + 682.49 + ] + }, + { + "text": "steel", + "bbox_points": [ + 279.1, + 674.47, + 295.12, + 682.49 + ] + }, + { + "text": "stands", + "bbox_points": [ + 297.52, + 674.47, + 320.03, + 682.49 + ] + }, + { + "text": "and", + "bbox_points": [ + 322.41, + 674.47, + 335.89, + 682.49 + ] + }, + { + "text": "all", + "bbox_points": [ + 338.29, + 674.47, + 347.1, + 682.49 + ] + }, + { + "text": "1", + "bbox_points": [ + 370.43, + 674.47, + 374.85, + 682.49 + ] + }, + { + "text": "No", + "bbox_points": [ + 397.53, + 674.47, + 408.85, + 682.49 + ] + }, + { + "text": "3,000,000", + "bbox_points": [ + 427.69, + 674.47, + 462.6, + 682.49 + ] + }, + { + "text": "3,000,000", + "bbox_points": [ + 479.11, + 674.47, + 513.9, + 682.49 + ] + } + ] + }, + { + "text": "other fittings", + "bbox_points": [ + 76.48, + 684.74, + 122.22, + 693.04 + ], + "words": [ + { + "text": "other", + "bbox_points": [ + 76.48, + 685.02, + 95.53, + 693.04 + ] + }, + { + "text": "fittings", + "bbox_points": [ + 97.91, + 684.74, + 122.22, + 693.04 + ] + } + ] + }, + { + "text": "Total of alternative 3 11,500,000 (4,432)", + "bbox_points": [ + 68.48, + 699.0, + 545.48, + 707.0 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 68.48, + 699.0, + 87.45, + 707.0 + ] + }, + { + "text": "of", + "bbox_points": [ + 89.86, + 699.0, + 97.18, + 707.0 + ] + }, + { + "text": "alternative", + "bbox_points": [ + 99.55, + 699.0, + 139.09, + 707.0 + ] + }, + { + "text": "3", + "bbox_points": [ + 141.51, + 699.0, + 145.92, + 707.0 + ] + }, + { + "text": "11,500,000", + "bbox_points": [ + 479.11, + 699.0, + 518.32, + 707.0 + ] + }, + { + "text": "(4,432)", + "bbox_points": [ + 520.66, + 699.0, + 545.48, + 707.0 + ] + } + ] + }, + { + "text": "Note: (i) Maintenance costs apply to all alternatives but were not factored in and (ii) salvage value was not included in the analysis", + "bbox_points": [ + 43.43, + 715.35, + 402.22, + 721.35 + ], + "words": [ + { + "text": "Note:", + "bbox_points": [ + 43.43, + 715.35, + 58.03, + 721.35 + ] + }, + { + "text": "(i)", + "bbox_points": [ + 60.04, + 715.35, + 64.71, + 721.35 + ] + }, + { + "text": "Maintenance", + "bbox_points": [ + 66.73, + 715.35, + 101.76, + 721.35 + ] + }, + { + "text": "costs", + "bbox_points": [ + 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engineering economic equivalence tenets to prioritize water source(s) for use by households,/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..c73189fada8de4527e4ea9367119e66dfd9fbd20 --- /dev/null +++ b/Figures/Mwishwa and Shegwando - 2024 - Use of engineering economic equivalence tenets to prioritize water source(s) for use by households,/table_01.txt @@ -0,0 +1 @@ +Breakdown of capital investment costs for the alternative water supply projects diff --git a/Figures/Mwishwa and Shegwando - 2024 - Use of engineering economic equivalence tenets to prioritize water source(s) for use by households,/table_02.jpg b/Figures/Mwishwa and Shegwando - 2024 - Use of engineering economic equivalence tenets to prioritize water source(s) for use by households,/table_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a2e050d24b6d67bcc20fa4c35a32ddde8e12c1b1 --- /dev/null +++ b/Figures/Mwishwa and Shegwando - 2024 - Use of engineering economic equivalence tenets to prioritize water source(s) for use by households,/table_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c8e6bf2e5d55706d5b45036a8d6dd1c2560f045c0d43d692605c9a9def0d2c31 +size 91382 diff --git a/Figures/Mwishwa and Shegwando - 2024 - Use of engineering economic equivalence tenets to prioritize water source(s) for use by households,/table_02.json b/Figures/Mwishwa and Shegwando - 2024 - Use of engineering economic equivalence tenets to prioritize water source(s) for use by households,/table_02.json new file mode 100644 index 0000000000000000000000000000000000000000..c981c6fd4ea758e488d56d5d588f16cd0858d75b --- /dev/null +++ b/Figures/Mwishwa and Shegwando - 2024 - Use of engineering economic equivalence tenets to prioritize water source(s) for use by households,/table_02.json @@ -0,0 +1,1665 @@ +{ + "kind": "table", + "label": "table_02", + "number": 2, + "caption": "Water sources components computed for prioritization", + "page": 13, 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+ "text": "Supply through P ¼ 10,283,000/-; i ¼ 15%; n ¼ 75 No bill is paid 10,283,000/-", + "bbox_points": [ + 64.01, + 191.62, + 523.48, + 199.92 + ], + "words": [ + { + "text": "Supply", + "bbox_points": [ + 64.01, + 191.91, + 88.81, + 199.92 + ] + }, + { + "text": "through", + "bbox_points": [ + 91.16, + 191.91, + 119.38, + 199.92 + ] + }, + { + "text": "P", + "bbox_points": [ + 135.55, + 191.8, + 140.88, + 199.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 142.47, + 191.62, + 148.63, + 199.62 + ] + }, + { + "text": "10,283,000/-;", + "bbox_points": [ + 150.18, + 191.9, + 197.35, + 199.92 + ] + }, + { + "text": "i", + "bbox_points": [ + 199.79, + 191.8, + 202.28, + 199.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 203.87, + 191.62, + 210.03, + 199.62 + ] + }, + { + "text": "15%;", + "bbox_points": [ + 211.58, + 191.9, + 229.74, + 199.92 + ] + }, + { + "text": "n", + "bbox_points": [ + 232.1, + 191.8, + 236.85, + 199.8 + ] + }, + { + "text": "¼", + "bbox_points": [ + 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"text": "is", + "bbox_points": [ + 380.69, + 202.39, + 386.35, + 210.41 + ] + }, + { + "text": "stored", + "bbox_points": [ + 388.74, + 202.39, + 410.59, + 210.41 + ] + }, + { + "text": "for", + "bbox_points": [ + 413.01, + 202.39, + 423.24, + 210.41 + ] + }, + { + "text": "a", + "bbox_points": [ + 425.42, + 202.39, + 429.58, + 210.41 + ] + }, + { + "text": "long", + "bbox_points": [ + 432.0, + 202.39, + 447.65, + 210.41 + ] + }, + { + "text": "time,", + "bbox_points": [ + 450.03, + 202.39, + 467.93, + 210.41 + ] + } + ] + }, + { + "text": "harvest it may not be good for drinking", + "bbox_points": [ + 72.0, + 212.88, + 447.15, + 220.9 + ], + "words": [ + { + "text": "harvest", + "bbox_points": [ + 72.0, + 212.88, + 97.76, + 220.9 + ] + }, + { + "text": "it", + "bbox_points": [ + 334.26, + 212.88, + 339.17, + 220.9 + ] + }, + { + "text": "may", + "bbox_points": [ + 341.58, + 212.88, + 356.52, + 220.9 + ] + }, + { + "text": "not", + "bbox_points": [ + 358.92, + 212.88, + 370.82, + 220.9 + ] + }, + { + "text": "be", + "bbox_points": [ + 373.21, + 212.88, + 381.63, + 220.9 + ] + }, + { + "text": "good", + "bbox_points": [ + 383.98, + 212.88, + 401.71, + 220.9 + ] + }, + { + "text": "for", + "bbox_points": [ + 404.11, + 212.88, + 414.34, + 220.9 + ] + }, + { + "text": "drinking", + "bbox_points": [ + 416.69, + 212.88, + 447.15, + 220.9 + ] + } + ] + }, + { + "text": "purposes", + "bbox_points": [ + 334.26, + 223.37, + 366.38, + 231.38 + ], + "words": [ + { + "text": "purposes", + "bbox_points": [ + 334.26, + 223.37, + 366.38, + 231.38 + ] + } + ] + }, + { + "text": "Supply through (i) P ¼ 11,500,000/- (i) P ¼ 11,500,000/-; 11,500,000/- þ 99,940/-", + "bbox_points": [ + 64.01, + 237.09, + 561.46, + 245.39 + ], + "words": [ + { + "text": "Supply", + "bbox_points": [ + 64.01, + 237.37, + 88.81, + 245.39 + ] + }, + { + "text": "through", + "bbox_points": [ + 91.16, + 237.37, + 119.38, + 245.39 + ] + }, + { + "text": "(i)", + "bbox_points": [ + 135.55, + 237.37, + 143.37, + 245.39 + ] + }, + { + "text": "P", + "bbox_points": [ + 145.76, + 237.27, + 151.09, + 245.27 + ] + }, + { + "text": "¼", + "bbox_points": [ + 152.68, + 237.09, + 158.84, + 245.09 + ] + }, + { + "text": "11,500,000/-", + "bbox_points": [ + 160.39, + 237.37, + 205.37, + 245.39 + ] + }, + { + "text": "(i)", + "bbox_points": [ + 326.27, + 237.37, + 334.08, + 245.39 + ] + }, + { + "text": "P", + "bbox_points": [ + 336.47, + 237.27, + 341.8, + 245.27 + ] + }, + { + "text": "¼", + "bbox_points": [ + 343.39, + 237.09, + 349.55, + 245.09 + ] + }, + { + "text": "11,500,000/-;", + "bbox_points": [ + 351.1, + 237.37, + 398.27, + 245.39 + ] + }, + { + "text": "11,500,000/-", + "bbox_points": [ + 477.58, + 237.38, + 522.56, + 245.39 + ] + }, + { + "text": "þ", + "bbox_points": [ + 524.01, + 237.1, + 530.17, + 245.1 + ] + }, + { + "text": "99,940/-", + "bbox_points": [ + 531.72, + 237.38, + 561.46, + 245.39 + ] + } + ] + }, + { + "text": "drilled well (ii) If water is pumped daily, the assumption is that (ii) P ¼ A(P/A), i, ¼12,099,940/-", + "bbox_points": [ + 72.0, + 247.58, + 537.54, + 255.88 + ], + "words": [ + { + "text": "drilled", + "bbox_points": [ + 72.0, + 247.86, + 95.3, + 255.88 + ] + }, + { + "text": "well", + "bbox_points": [ + 97.68, + 247.86, + 112.46, + 255.88 + ] + }, + { + "text": "(ii)", + "bbox_points": [ + 133.57, + 247.86, + 143.71, + 255.88 + ] + }, + { + "text": "If", + "bbox_points": [ + 146.1, + 247.86, + 151.76, + 255.88 + ] + }, + { + "text": "water", + "bbox_points": [ + 154.15, + 247.86, + 174.03, + 255.88 + ] + }, + { + "text": "is", + "bbox_points": [ + 176.43, + 247.86, + 182.09, + 255.88 + ] + }, + { + "text": "pumped", + "bbox_points": [ + 184.48, + 247.86, + 213.69, + 255.88 + ] + }, + { + "text": "daily,", + "bbox_points": [ + 216.12, + 247.86, + 235.29, + 255.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 237.66, + 247.86, + 248.98, + 255.88 + ] + }, + { + "text": "assumption", + "bbox_points": [ + 251.38, + 247.86, + 292.57, + 255.88 + ] + }, + { + "text": "is", + "bbox_points": [ + 294.92, + 247.86, + 300.58, + 255.88 + ] + }, + { + "text": "that", + "bbox_points": [ + 302.8, + 247.86, + 316.66, + 255.88 + ] + }, + { + "text": "(ii)", + "bbox_points": [ + 324.28, + 247.86, + 334.43, + 255.87 + ] + }, + { + "text": "P", + "bbox_points": [ + 336.81, + 247.76, + 342.14, + 255.76 + ] + }, + { + "text": "¼", + "bbox_points": [ + 343.67, + 247.58, + 349.83, + 255.58 + ] + }, + { + "text": "A(P/A),", + "bbox_points": [ + 351.27, + 247.76, + 379.94, + 255.87 + ] + }, + { + "text": "i,", + "bbox_points": [ + 382.34, + 247.76, + 386.83, + 255.87 + ] + }, + { + "text": "¼12,099,940/-", + "bbox_points": [ + 485.57, + 247.58, + 537.54, + 255.84 + ] + } + ] + }, + { + "text": "the charge will be 250/- per day, giving a total of n¼90,000 (P/A), 15%, 75", + "bbox_points": [ + 143.55, + 258.12, + 425.47, + 266.43 + ], + "words": [ + { + "text": "the", + "bbox_points": [ + 143.55, + 258.4, + 154.87, + 266.42 + ] + }, + { + "text": "charge", + "bbox_points": [ + 157.27, + 258.4, + 181.33, + 266.42 + ] + }, + { + "text": "will", + "bbox_points": [ + 183.52, + 258.4, + 196.83, + 266.42 + ] + }, + { + "text": "be", + "bbox_points": [ + 199.22, + 258.4, + 207.64, + 266.42 + ] + }, + { + "text": "250/-", + "bbox_points": [ + 209.99, + 258.4, + 228.9, + 266.42 + ] + }, + { + "text": "per", + "bbox_points": [ + 231.25, + 258.4, + 242.99, + 266.42 + ] + }, + { + "text": "day,", + "bbox_points": [ + 245.37, + 258.4, + 259.73, + 266.42 + ] + }, + { + "text": "giving", + "bbox_points": [ + 262.15, + 258.4, + 283.71, + 266.42 + ] + }, + { + "text": "a", + "bbox_points": [ + 286.07, + 258.4, + 290.23, + 266.42 + ] + }, + { + "text": "total", + "bbox_points": [ + 292.42, + 258.4, + 308.64, + 266.42 + ] + }, + { + "text": "of", + "bbox_points": [ + 311.02, + 258.4, + 318.09, + 266.42 + ] + }, + { + "text": "n¼90,000", + "bbox_points": [ + 334.26, + 258.12, + 369.23, + 266.43 + ] + }, + { + "text": "(P/A),", + "bbox_points": [ + 371.57, + 258.31, + 394.05, + 266.43 + ] + }, + { + "text": "15%,", + "bbox_points": [ + 396.45, + 258.41, + 414.28, + 266.43 + ] + }, + { + "text": "75", + "bbox_points": [ + 416.64, + 258.41, + 425.47, + 266.43 + ] + } + ] + }, + { + "text": "A ¼ 90,000/- 90,000 6.666 ¼ 599,940", + "bbox_points": [ + 143.55, + 268.61, + 425.01, + 276.91 + ], + "words": [ + { + "text": "A", + "bbox_points": [ + 143.55, + 268.79, + 149.71, + 276.79 + ] + }, + { + "text": "¼", + "bbox_points": [ + 151.32, + 268.61, + 157.48, + 276.61 + ] + }, + { + "text": "90,000/-", + "bbox_points": [ + 159.03, + 268.89, + 188.66, + 276.91 + ] + }, + { + "text": "90,000", + "bbox_points": [ + 334.26, + 268.9, + 358.34, + 276.91 + ] + }, + { + "text": "6.666", + "bbox_points": [ + 367.6, + 268.9, + 387.26, + 276.91 + ] + }, + { + "text": "¼", + "bbox_points": [ + 388.74, + 268.62, + 394.9, + 276.62 + ] + }, + { + "text": "599,940", + "bbox_points": [ + 396.51, + 268.9, + 425.01, + 276.91 + ] + } + ] + }, + { + "text": "i ¼ 15%; n ¼ 75 years", + "bbox_points": [ + 143.55, + 279.1, + 219.59, + 287.4 + ], + "words": [ + { + "text": "i", + "bbox_points": [ + 143.55, + 279.28, + 146.04, + 287.28 + ] + }, + { + "text": "¼", + "bbox_points": [ + 147.63, + 279.1, + 153.79, + 287.1 + ] + }, + { + "text": "15%;", + "bbox_points": [ + 155.34, + 279.38, + 173.5, + 287.4 + ] + }, + { + "text": "n", + "bbox_points": [ + 175.86, + 279.28, + 180.61, + 287.28 + ] + }, + { + "text": "¼", + "bbox_points": [ + 182.21, + 279.1, + 188.37, + 287.1 + ] + }, + { + "text": "75", + "bbox_points": [ + 189.92, + 279.38, + 198.75, + 287.4 + ] + }, + { + "text": "years", + "bbox_points": [ + 201.09, + 279.38, + 219.59, + 287.4 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Mwishwa and Shegwando - 2024 - Use of engineering economic equivalence tenets to prioritize water source(s) for use by households,/table_02.txt b/Figures/Mwishwa and Shegwando - 2024 - Use of engineering economic equivalence tenets to prioritize water source(s) for use by households,/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..bde50e8d9c65129ae19e92a612b267c7ed57ce18 --- /dev/null +++ b/Figures/Mwishwa and Shegwando - 2024 - Use of engineering economic equivalence tenets to prioritize water source(s) for use by households,/table_02.txt @@ -0,0 +1 @@ +Water sources components computed for prioritization diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_01.jpg b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1cc64d7ba0eb87ee887bc43a1c9f2e064056c27d --- /dev/null +++ b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_01.jpg 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- Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_02.txt @@ -0,0 +1 @@ +Comparison of NRW across different networks. diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_03.jpg b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7d4d91f0604c020603f235c63daf9223c1cb4142 --- /dev/null +++ b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0dafbd1f4fe89d4554aa195e1f3a8dc8450c85178b06860ce28d5361695821de +size 111042 diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_03.txt b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..557aa81f942000e8bb80b3252b920bc711e3a993 --- /dev/null +++ b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_03.txt @@ -0,0 +1 @@ +Trend of non-revenue water from 1 July 2014 to 30 June 2023. diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_04.jpg b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ca0381d790e1d9c9a46cfe135954b3b2ea179932 --- /dev/null +++ b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:97bc05bcaa5f953071456e88524cab8a79a474f8185901461d5b07de188167ac +size 73556 diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_04.txt b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..0f7ac6ef25fc33702c2ead2cc010ed253c0fcb5b --- /dev/null +++ b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_04.txt @@ -0,0 +1 @@ +Water loss rate per water supply network. diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_05.jpg b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6921ad1f940756616c85061104330c4fd2c20c20 --- /dev/null +++ b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2c09ec0089d2c93457f97c3e69c6ab274681f95c75ef1c0ad728635708b40297 +size 71478 diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_05.txt b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_05.txt 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https://git-lfs.github.com/spec/v1 +oid sha256:3c022734785659f2ae88ac7a93b976aa1c8b7e325e9d4546843195d3d5cf4a78 +size 41493 diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_06.txt b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a61c03a3e95cec71e6d05861dbd80d18503081b --- /dev/null +++ b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_06.txt @@ -0,0 +1 @@ +Relationship between WLR and access to improved water sources. diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_07.jpg b/Figures/Mwitirehe et al. - 2024 - Analyzing 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- Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_07.txt @@ -0,0 +1 @@ +Variable importance using random forest model. diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_08.jpg b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3d61b1ce994eb37f1ab6bef180b767144681b65f --- /dev/null +++ b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:272605d7f6e21d2117c955bd82ef9f7df8753cbb37ef9e0a7bfc0e6c17126fb8 +size 94865 diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_08.txt b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..70614b8e9506a7fd024598643ce0a89a3a6e6f68 --- /dev/null +++ b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_08.txt @@ -0,0 +1 @@ +Naïve Bayesian classification for categorical variables. diff --git a/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_09.jpg b/Figures/Mwitirehe et al. - 2024 - Analyzing non-revenue water dynamics in Rwanda leveraging machine learning predictive modeling for/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..883085e06a4ed4af91ac9afca26c1ea9a3b60480 --- 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"text": "68,139,552", + "bbox_points": [ + 222.07, + 170.88, + 261.28, + 178.89 + ] + }, + { + "text": "39,919,209", + "bbox_points": [ + 287.04, + 170.88, + 326.36, + 178.89 + ] + }, + { + "text": "41.42%", + "bbox_points": [ + 348.09, + 170.88, + 374.76, + 178.89 + ] + }, + { + "text": "287,608", + "bbox_points": [ + 425.25, + 170.88, + 453.75, + 178.89 + ] + }, + { + "text": "139", + "bbox_points": [ + 496.12, + 170.88, + 509.37, + 178.89 + ] + } + ] + }, + { + "text": "Average 58,532,446 56,434,396 54,254,239 31,696,009 41.58% 240,637 132", + "bbox_points": [ + 43.43, + 184.88, + 509.37, + 192.89 + ], + "words": [ + { + "text": "Average", + "bbox_points": [ + 43.43, + 184.88, + 72.2, + 192.89 + ] + }, + { + "text": "58,532,446", + "bbox_points": [ + 99.67, + 184.88, + 138.88, + 192.89 + ] + }, + { + "text": "56,434,396", + "bbox_points": [ + 160.67, + 184.88, + 200.0, + 192.89 + ] + }, + { + "text": "54,254,239", + "bbox_points": [ + 222.07, + 184.88, + 261.28, + 192.89 + ] + }, + { + "text": "31,696,009", + "bbox_points": [ + 287.04, + 184.88, + 326.36, + 192.89 + ] + }, + { + "text": "41.58%", + "bbox_points": [ + 348.09, + 184.88, + 374.76, + 192.89 + ] + }, + { + "text": "240,637", + "bbox_points": [ + 425.25, + 184.88, + 453.75, + 192.89 + ] + }, + { + "text": "132", + "bbox_points": [ + 496.12, + 184.88, + 509.37, + 192.89 + ] + } + ] + }, + { + "text": "Total 294,681,598 282,171,978 271,271,193 158,480,044 41.58% 287,608 551", + "bbox_points": [ + 43.43, + 198.88, + 509.37, + 206.9 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 198.88, + 61.89, + 206.9 + ] + }, + { + "text": "294,681,598", + "bbox_points": [ + 99.67, + 198.88, + 143.26, + 206.9 + ] + }, + { + "text": "282,171,978", + "bbox_points": [ + 160.67, + 198.88, + 204.41, + 206.9 + ] + }, + { + "text": "271,271,193", + "bbox_points": [ + 222.07, + 198.88, + 265.66, + 206.9 + ] + }, + { + "text": "158,480,044", + "bbox_points": [ + 287.04, + 198.88, + 330.78, + 206.9 + ] + }, + { + "text": "41.58%", + "bbox_points": [ + 348.09, + 198.88, + 374.76, + 206.9 + ] + }, + { + "text": "287,608", + "bbox_points": [ + 425.25, + 198.88, + 453.75, + 206.9 + ] + }, + { + "text": "551", + "bbox_points": [ + 496.12, + 198.88, + 509.37, + 206.9 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Figures/Mwitirehe et al. - 2024 - Exploring the drinking water supply in Rwanda with panel data analysis/table_04.txt b/Figures/Mwitirehe et al. - 2024 - Exploring the drinking water supply in Rwanda with panel data analysis/table_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef66aaba302c3f6ad48c14560b9a54323daf6b95 --- /dev/null +++ b/Figures/Mwitirehe et al. - 2024 - Exploring the drinking water supply in Rwanda with panel data analysis/table_04.txt @@ -0,0 +1 @@ +Water quantities and subscribers from July 2017 to June 2022 in m3 diff --git a/Figures/Mwitirehe et al. - 2024 - Exploring the drinking water supply in Rwanda with panel 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Rwanda with panel data analysis/table_05.json @@ -0,0 +1,1960 @@ +{ + "kind": "table", + "label": "table_05", + "number": 5, + "caption": "Average water supplied, billed, and lost per district from 1 July 2019 to 30 June 2022", + "page": 9, + "table_bbox_points": [ + 61.01, + 357.85, + 569.02, + 715.74 + ], + "caption_bbox_points": [ + 64.01, + 349.68, + 410.15, + 357.85 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 25, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Average quarterly volumes of water", + "bbox_points": [ + 202.68, + 372.47, + 315.02, + 378.47 + ], + "words": [ + { + "text": "Average", + "bbox_points": [ + 202.68, + 372.47, + 228.0, + 378.47 + ] + }, + { + "text": "quarterly", + "bbox_points": [ + 229.95, + 372.47, + 258.42, + 378.47 + ] + }, + { + "text": "volumes", + "bbox_points": [ + 260.39, + 372.47, + 286.43, + 378.47 + ] + }, + { + "text": "of", + "bbox_points": [ + 288.39, + 372.47, + 294.7, + 378.47 + ] + }, + { + "text": "water", + "bbox_points": [ + 296.67, + 372.47, + 315.02, + 378.47 + ] + } + ] + }, + { + "text": "in thousands of cubic meters (m3) [95% CI]", + "bbox_points": [ + 202.68, + 386.17, + 334.72, + 393.44 + ], + "words": [ + { + "text": "in", + "bbox_points": [ + 202.68, + 387.44, + 208.55, + 393.44 + ] + }, + { + "text": "thousands", + "bbox_points": [ + 210.56, + 387.44, + 243.16, + 393.44 + ] + }, + { + "text": "of", + "bbox_points": [ + 245.19, + 387.44, + 251.5, + 393.44 + ] + }, + { + "text": "cubic", + "bbox_points": [ + 253.47, + 387.44, + 270.07, + 393.44 + ] + }, + { + "text": "meters", + "bbox_points": [ + 272.07, + 387.44, + 294.0, + 393.44 + ] + }, + { + "text": "(m3)", + "bbox_points": [ + 295.99, + 386.17, + 308.6, + 393.44 + ] + }, + { + "text": "[95%", + "bbox_points": [ + 310.62, + 387.44, + 324.61, + 393.44 + ] + }, + { + "text": "CI]", + "bbox_points": [ + 326.61, + 387.44, + 334.72, + 393.44 + ] + } + ] + }, + { + "text": "Province/district Supplied Billed NRW", + "bbox_points": [ + 64.01, + 402.46, + 510.53, + 408.46 + ], + "words": [ + { + "text": "Province/district", + "bbox_points": [ + 64.01, + 402.46, + 115.5, + 408.46 + ] + }, + { + "text": "Supplied", + "bbox_points": [ + 202.68, + 402.46, + 229.9, + 408.46 + ] + }, + { + "text": "Billed", + "bbox_points": [ + 355.8, + 402.46, + 373.23, + 408.46 + ] + }, + { + "text": "NRW", + "bbox_points": [ + 495.66, + 402.46, + 510.53, + 408.46 + ] + } + ] + }, + { + "text": "Eastern province 2,193 [2,037–2,350] 1,161 [1,025–1,297] 1,032 [971–1,093]", + "bbox_points": [ + 64.01, + 417.32, + 559.18, + 425.58 + ], + "words": [ + { + "text": "Eastern", + "bbox_points": [ + 64.01, + 417.58, + 91.94, + 425.58 + ] + }, + { + "text": "province", + "bbox_points": [ + 94.34, + 417.58, + 126.4, + 425.58 + ] + }, + { + "text": "2,193", + "bbox_points": [ + 202.68, + 417.32, + 222.08, + 425.32 + ] + }, + { + "text": "[2,037–2,350]", + "bbox_points": [ + 224.45, + 417.32, + 272.37, + 425.32 + ] + }, + { + "text": "1,161", + "bbox_points": [ + 355.8, + 417.32, + 375.21, + 425.32 + ] + }, + { + "text": "[1,025–1,297]", + "bbox_points": [ + 377.52, + 417.32, + 425.44, + 425.32 + ] + }, + { + "text": "1,032", + "bbox_points": [ + 495.66, + 417.32, + 515.07, + 425.32 + ] + }, + { + "text": "[971–1,093]", + "bbox_points": [ + 517.38, + 417.32, + 559.18, + 425.32 + ] + } + ] + }, + { + "text": "Bugesera 626 [487–765] 366 [298–435] 260 [186–333]", + "bbox_points": [ + 72.0, + 431.33, + 545.99, + 439.62 + ], + "words": [ + { + "text": "Bugesera", + "bbox_points": [ + 72.0, + 431.61, + 104.56, + 439.62 + ] + }, + { + "text": "626", + "bbox_points": [ + 202.68, + 431.61, + 215.92, + 439.62 + ] + }, + { + "text": "[487–765]", + "bbox_points": [ + 218.32, + 431.33, + 253.06, + 439.62 + ] + }, + { + "text": "366", + "bbox_points": [ + 355.8, + 431.61, + 369.05, + 439.62 + ] + }, + { + "text": "[298–435]", + "bbox_points": [ + 371.39, + 431.33, + 406.13, + 439.62 + ] + }, + { + "text": "260", + "bbox_points": [ + 495.66, + 431.61, + 508.91, + 439.62 + ] + }, + { + "text": "[186–333]", + "bbox_points": [ + 511.25, + 431.33, + 545.99, + 439.62 + ] + } + ] + }, + { + "text": "Ngoma 173 [164–183] 112 [102–121] 61 [56–67]", + "bbox_points": [ + 72.0, + 445.33, + 532.79, + 453.62 + ], + "words": [ + { + "text": "Ngoma", + "bbox_points": [ + 72.0, + 445.61, + 98.48, + 453.62 + ] + }, + { + "text": "173", + "bbox_points": [ + 202.68, + 445.61, + 215.92, + 453.62 + ] + }, + { + "text": "[164–183]", + "bbox_points": [ + 218.32, + 445.33, + 253.06, + 453.62 + ] + }, + { + "text": "112", + "bbox_points": [ + 355.8, + 445.61, + 369.05, + 453.62 + ] + }, + { + "text": "[102–121]", + "bbox_points": [ + 371.39, + 445.33, + 406.13, + 453.62 + ] + }, + { + "text": "61", + "bbox_points": [ + 495.66, + 445.61, + 504.5, + 453.62 + ] + }, + { + "text": "[56–67]", + "bbox_points": [ + 506.83, + 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"Rwamagana", + "bbox_points": [ + 72.0, + 473.61, + 116.06, + 481.63 + ] + }, + { + "text": "703", + "bbox_points": [ + 202.68, + 473.61, + 215.92, + 481.63 + ] + }, + { + "text": "[659–747]", + "bbox_points": [ + 218.32, + 473.33, + 253.06, + 481.63 + ] + }, + { + "text": "401", + "bbox_points": [ + 355.8, + 473.61, + 369.05, + 481.63 + ] + }, + { + "text": "[359–442]", + "bbox_points": [ + 371.39, + 473.33, + 406.13, + 481.63 + ] + }, + { + "text": "302", + "bbox_points": [ + 495.66, + 473.61, + 508.91, + 481.63 + ] + }, + { + "text": "[235–370]", + "bbox_points": [ + 511.25, + 473.33, + 545.99, + 481.63 + ] + } + ] + }, + { + "text": "Kigali City 8,821 [8,113–9,530] 5,092 [4,553–5,631] 3,729 [3,295–4,162]", + "bbox_points": [ + 64.01, + 487.28, + 565.3, + 495.53 + ], + "words": [ + { + "text": "Kigali", + "bbox_points": [ + 64.01, + 487.53, + 86.14, + 495.53 + ] + }, + { + "text": "City", + "bbox_points": [ + 88.5, + 487.53, + 104.06, + 495.53 + ] + }, + { + "text": "8,821", + "bbox_points": [ + 202.68, + 487.28, + 222.08, + 495.28 + ] + }, + { + "text": "[8,113–9,530]", + "bbox_points": [ + 224.45, + 487.28, + 272.37, + 495.28 + ] + }, + { + "text": "5,092", + "bbox_points": [ + 355.8, + 487.28, + 375.21, + 495.28 + ] + }, + { + "text": "[4,553–5,631]", + "bbox_points": [ + 377.52, + 487.28, + 425.44, + 495.28 + ] + }, + { + "text": "3,729", + "bbox_points": [ + 495.66, + 487.28, + 515.07, + 495.28 + ] + }, + { + "text": "[3,295–4,162]", + "bbox_points": [ + 517.38, + 487.28, + 565.3, + 495.28 + ] + } + ] + }, + { + "text": "Kigali City* 8,821 [8,113–9,530] 5,092 [4,769–5,416] 3,729 [3,295–4,162]", + "bbox_points": [ + 72.0, + 501.28, + 565.22, + 509.58 + ], + "words": [ + { + "text": "Kigali", + "bbox_points": [ + 72.0, + 501.56, + 93.14, + 509.58 + ] + }, + { + "text": "City*", + "bbox_points": [ + 95.47, + 501.56, + 114.28, + 509.58 + ] + }, + { + "text": "8,821", + "bbox_points": [ + 202.68, + 501.56, + 222.34, + 509.58 + ] + }, + { + "text": "[8,113–9,530]", + "bbox_points": [ + 224.73, + 501.28, + 272.29, + 509.58 + ] + }, + { + "text": "5,092", + "bbox_points": [ + 355.8, + 501.56, + 375.47, + 509.58 + ] + }, + { + "text": "[4,769–5,416]", + "bbox_points": [ + 377.8, + 501.28, + 425.36, + 509.58 + ] + }, + { + "text": "3,729", + "bbox_points": [ + 495.66, + 501.56, + 515.33, + 509.58 + ] + }, + { + "text": "[3,295–4,162]", + "bbox_points": [ + 517.66, + 501.28, + 565.22, + 509.58 + ] + } + ] + }, + { + "text": "Nothern province 940 [831–1,049] 561 [413–708] 378 [287–470]", + "bbox_points": [ + 64.01, + 515.29, + 546.84, + 523.54 + ], + "words": [ + { + "text": "Nothern", + "bbox_points": [ + 64.01, + 515.54, + 95.14, + 523.54 + ] + }, + { + "text": "province", + "bbox_points": [ + 97.57, + 515.54, + 129.69, + 523.54 + ] + }, + { + "text": "940", + "bbox_points": [ + 202.68, + 515.29, + 215.93, + 523.29 + ] + }, + { + "text": "[831–1,049]", + "bbox_points": [ + 218.32, + 515.29, + 260.07, + 523.29 + ] + }, + { + "text": "561", + "bbox_points": [ + 355.8, + 515.29, + 369.05, + 523.29 + ] + }, + { + "text": "[413–708]", + "bbox_points": [ + 371.39, + 515.29, + 406.98, + 523.29 + ] + }, + { + "text": "378", + "bbox_points": [ + 495.66, + 515.29, + 508.91, + 523.29 + ] + }, + { + "text": "[287–470]", + "bbox_points": [ + 511.26, + 515.29, + 546.84, + 523.29 + ] + } + ] + }, + { + "text": "Gicumbi 170 [158–182] 87 [80–94] 83 [70–96]", + "bbox_points": [ + 72.0, + 529.29, + 532.79, + 537.59 + ], + "words": [ + { + "text": "Gicumbi", + "bbox_points": [ + 72.0, + 529.57, + 103.29, + 537.59 + ] + }, + { + "text": "170", + "bbox_points": [ + 202.68, + 529.57, + 215.93, + 537.59 + ] + }, + { + "text": "[158–182]", + "bbox_points": [ + 218.33, + 529.29, + 253.07, + 537.59 + ] + }, + { + "text": "87", + "bbox_points": [ + 355.8, + 529.57, + 364.64, + 537.59 + ] + }, + { + "text": "[80–94]", + "bbox_points": [ + 366.97, + 529.29, + 392.93, + 537.59 + ] + }, + { + "text": "83", + "bbox_points": [ + 495.67, + 529.57, + 504.5, + 537.59 + ] + }, + { + "text": "[70–96]", + "bbox_points": [ + 506.84, + 529.29, + 532.79, + 537.59 + ] + } + ] + }, + { + "text": "Musanze 770 [669–871] 474 [443–506] 296 [212–379]", + "bbox_points": [ + 72.0, + 543.29, + 546.0, + 551.59 + ], + "words": [ + { + "text": "Musanze", + "bbox_points": [ + 72.0, + 543.57, + 104.46, + 551.59 + ] + }, + { + "text": "770", + "bbox_points": [ + 202.68, + 543.57, + 215.93, + 551.59 + ] + }, + { + "text": "[669–871]", + "bbox_points": [ + 218.33, + 543.29, + 253.07, + 551.59 + ] + }, + { + "text": "474", + "bbox_points": [ + 355.81, + 543.57, + 369.05, + 551.59 + ] + }, + { + "text": "[443–506]", + "bbox_points": [ + 371.4, + 543.29, + 406.14, + 551.59 + ] + }, + { + "text": "296", + "bbox_points": [ + 495.67, + 543.57, + 508.92, + 551.59 + ] + }, + { + "text": "[212–379]", + "bbox_points": [ + 511.26, + 543.29, + 546.0, + 551.59 + ] + } + ] + }, + { + "text": "Southern province 1,362 [1,285–1,439] 775 [720–831] 586 [541–630]", + "bbox_points": [ + 64.01, + 557.3, + 546.85, + 565.55 + ], + "words": [ + { + "text": "Southern", + "bbox_points": [ + 64.01, + 557.55, + 98.72, + 565.55 + ] + }, + { + "text": "province", + "bbox_points": [ + 101.14, + 557.55, + 133.26, + 565.55 + ] + }, + { + "text": "1,362", + "bbox_points": [ + 202.68, + 557.3, + 222.09, + 565.3 + ] + }, + { + "text": "[1,285–1,439]", + "bbox_points": [ + 224.45, + 557.3, + 272.38, + 565.3 + ] + }, + { + "text": "775", + "bbox_points": [ + 355.81, + 557.3, + 369.05, + 565.3 + ] + }, + { + "text": "[720–831]", + "bbox_points": [ + 371.4, + 557.3, + 406.99, + 565.3 + ] + }, + { + "text": "586", + "bbox_points": [ + 495.67, + 557.3, + 508.92, + 565.3 + ] + }, + { + "text": "[541–630]", + "bbox_points": [ + 511.26, + 557.3, + 546.85, + 565.3 + ] + } + ] + }, + { + "text": "Huye 494 [477–511] 275 [259–291] 219 [208–230]", + "bbox_points": [ + 72.0, + 571.3, + 546.0, + 579.6 + ], + "words": [ + { + "text": "Huye", + "bbox_points": [ + 72.0, + 571.58, + 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566.01, + 315.26 + ] + } + ] + }, + { + "text": "Residential connections 210,217 241,186 263,708 25.45", + "bbox_points": [ + 64.01, + 324.4, + 521.96, + 332.42 + ], + "words": [ + { + "text": "Residential", + "bbox_points": [ + 64.01, + 324.4, + 103.76, + 332.42 + ] + }, + { + "text": "connections", + "bbox_points": [ + 106.13, + 324.4, + 149.65, + 332.42 + ] + }, + { + "text": "210,217", + "bbox_points": [ + 226.83, + 324.4, + 255.32, + 332.42 + ] + }, + { + "text": "241,186", + "bbox_points": [ + 318.67, + 324.4, + 347.17, + 332.42 + ] + }, + { + "text": "263,708", + "bbox_points": [ + 410.45, + 324.4, + 438.95, + 332.42 + ] + }, + { + "text": "25.45", + "bbox_points": [ + 502.3, + 324.4, + 521.96, + 332.42 + ] + } + ] + }, + { + "text": "Non-residential connections 15,031 15,807 16,779 11.63", + "bbox_points": [ + 64.01, + 338.4, + 521.96, + 346.42 + ], + "words": [ + { + "text": "Non-residential", + "bbox_points": [ + 64.01, + 338.4, + 119.46, + 346.42 + ] + }, + { + "text": "connections", + "bbox_points": [ + 121.83, + 338.4, + 165.35, + 346.42 + ] + }, + { + "text": "15,031", + "bbox_points": [ + 226.83, + 338.4, + 250.91, + 346.42 + ] + }, + { + "text": "15,807", + "bbox_points": [ + 318.67, + 338.4, + 342.75, + 346.42 + ] + }, + { + "text": "16,779", + "bbox_points": [ + 410.46, + 338.4, + 434.54, + 346.42 + ] + }, + { + "text": "11.63", + "bbox_points": [ + 502.3, + 338.4, + 521.96, + 346.42 + ] + } + ] + }, + { + "text": "Public standpipes 4,701 6,062 6,799 44.63", + "bbox_points": [ + 64.01, + 352.41, + 521.96, + 360.42 + ], + "words": [ + { + "text": "Public", + "bbox_points": [ + 64.01, + 352.41, + 86.65, + 360.42 + ] + }, + { + "text": "standpipes", + "bbox_points": [ + 89.01, + 352.41, + 126.99, + 360.42 + ] + }, + { + "text": "4,701", + "bbox_points": [ + 226.83, + 352.41, + 246.49, + 360.42 + ] + }, + { + "text": "6,062", + "bbox_points": [ + 318.67, + 352.41, + 338.33, + 360.42 + ] + }, + { + "text": "6,799", + "bbox_points": [ + 410.46, + 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