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Groundwater salinization and suitability assessment in the coastal aquifer of the Thiruvallur distri/table_02.txt b/Media/2025/A et al. - 2025 - Groundwater salinization and suitability assessment in the coastal aquifer of the Thiruvallur distri/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..b517c3849f81c261ab9a15cdafea53039adb227f --- /dev/null +++ b/Media/2025/A et al. - 2025 - Groundwater salinization and suitability assessment in the coastal aquifer of the Thiruvallur distri/table_02.txt @@ -0,0 +1 @@ +The WQI values, quality of water, and percentage of groundwater samples in the study area diff --git a/Media/2025/A et al. - 2025 - Groundwater salinization and suitability assessment in the coastal aquifer of the Thiruvallur distri/table_03.jpg b/Media/2025/A et al. - 2025 - Groundwater salinization and suitability assessment in the coastal aquifer of the Thiruvallur distri/table_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1b3edd3b6a0d541647142415f7b8b4ca873eb7a6 --- /dev/null +++ b/Media/2025/A et al. - 2025 - Groundwater salinization and suitability assessment in the coastal aquifer of the Thiruvallur distri/table_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2399a3ffd92eb54866fbf3c666a303518aa2acca7b8e8158f1ad962f7306d42e +size 85564 diff --git a/Media/2025/A et al. - 2025 - Groundwater salinization and suitability assessment in the coastal aquifer of the Thiruvallur distri/table_03.json b/Media/2025/A et al. - 2025 - Groundwater salinization and suitability assessment in the coastal aquifer of the Thiruvallur distri/table_03.json new file mode 100644 index 0000000000000000000000000000000000000000..6b77b5d1a6d7c98b38064e81862909de33fa1fbf --- /dev/null +++ b/Media/2025/A et al. - 2025 - Groundwater salinization and suitability assessment in the coastal aquifer of the Thiruvallur distri/table_03.json @@ -0,0 +1,1315 @@ +{ + 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"bbox_points": [ + 466.13, + 313.17, + 489.91, + 319.17 + ] + }, + { + "text": "deviation", + "bbox_points": [ + 492.09, + 313.17, + 516.81, + 319.17 + ] + }, + { + "text": "of", + "bbox_points": [ + 519.08, + 313.17, + 524.38, + 319.17 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_01.txt b/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddc14f986e28c8b45c8477a89f1c1b6785cf14fa --- /dev/null +++ b/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_01.txt @@ -0,0 +1 @@ +Physiochemical characterization of different treatments diff --git a/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_02.jpg b/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e3be2ab8166f46e94f0b6498658106e845670b1a --- /dev/null +++ b/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7a39b270a14921317e9ac93ecd913340b68fa9412d110c0b1391193aae6d8f5b +size 104627 diff --git a/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_02.json b/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_02.json new file mode 100644 index 0000000000000000000000000000000000000000..d22ae2da8e7ea8324b7a3a7907c490864897fc3c --- /dev/null +++ b/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_02.json @@ -0,0 +1,1326 @@ +{ + "kind": "table", + "label": "table_02", + "number": 2, + "caption": "Germination parameters of C. annuum under different treatments", + "page": 7, + "table_bbox_points": [ + 67.87, + 552.42, + 527.41, + 733.26 + ], + "caption_bbox_points": [ + 70.87, + 542.77, + 347.24, + 552.42 + ], + "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": "Germination parameters Units Control (DW) Treatment-1 (UTAIWW) Treatment-2 (50% TAIWW) Treatment-3 (100% TAIWW)", + "bbox_points": [ + 70.87, + 566.99, + 523.4, + 572.99 + ], + "words": [ + { + "text": "Germination", + "bbox_points": [ + 70.87, + 566.99, + 109.4, + 572.99 + ] + }, + { + "text": "parameters", + "bbox_points": [ + 111.34, + 566.99, + 147.03, + 572.99 + ] + }, + { + "text": "Units", + "bbox_points": [ + 157.66, + 566.99, + 173.9, + 572.99 + ] + }, + { + "text": "Control", + "bbox_points": [ + 179.94, + 566.99, + 202.87, + 572.99 + ] + }, + { + "text": "(DW)", + "bbox_points": [ + 204.83, + 566.99, + 219.5, + 572.99 + ] + }, + { + "text": "Treatment-1", + "bbox_points": [ + 250.29, + 566.99, + 287.72, + 572.99 + ] + }, + { + "text": "(UTAIWW)", + "bbox_points": [ + 289.64, + 566.99, + 320.12, + 572.99 + ] + }, + { + "text": "Treatment-2", + "bbox_points": [ + 346.39, + 566.99, + 383.77, + 572.99 + ] + }, + { + "text": "(50%", + "bbox_points": [ + 385.67, + 566.99, + 399.79, + 572.99 + ] + }, + { + "text": "TAIWW)", + "bbox_points": [ + 401.83, + 566.99, + 425.8, + 572.99 + ] + }, + { + "text": "Treatment-3", + "bbox_points": [ + 440.44, + 566.99, + 477.86, + 572.99 + ] + }, + { + "text": "(100%", + "bbox_points": [ + 479.78, + 566.99, + 497.39, + 572.99 + ] + }, + { + "text": "TAIWW)", + "bbox_points": [ + 499.4, + 566.99, + 523.4, + 572.99 + ] + } + ] + }, + { + "text": "Final germination % 82.22(+ 3.8451, 91.10(+3.8502, 2.223) 84.33(+3.7535, 2.167) 97.77(+3.8502, 2.223)", + "bbox_points": [ + 70.87, + 581.85, + 521.59, + 590.14 + ], + "words": [ + { + "text": "Final", + "bbox_points": [ + 70.87, + 582.13, + 89.17, + 590.14 + ] + }, + { + "text": "germination", + "bbox_points": [ + 91.56, + 582.13, + 134.92, + 590.14 + ] + }, + { + "text": "%", + "bbox_points": [ + 157.66, + 582.13, + 164.66, + 590.14 + ] + }, + { + "text": "82.22(+", + "bbox_points": [ + 179.94, + 581.85, + 210.28, + 590.14 + ] + }, + { + "text": "3.8451,", + "bbox_points": [ + 211.8, + 582.13, + 237.88, + 590.14 + ] + }, + { + "text": "91.10(+3.8502,", + "bbox_points": [ + 250.3, + 581.85, + 306.71, + 590.14 + ] + }, + { + "text": "2.223)", + "bbox_points": [ + 309.03, + 582.13, + 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"text": "Germination energy % 4.44(+ 3.8451, 13.33(+6.67, 3.8509) 4.44(+3.8451, 2.22)** 26.66(+6.665, 3.8480)", + "bbox_points": [ + 70.87, + 606.34, + 521.58, + 614.63 + ], + "words": [ + { + "text": "Germination", + "bbox_points": [ + 70.87, + 606.62, + 117.01, + 614.63 + ] + }, + { + "text": "energy", + "bbox_points": [ + 119.39, + 606.62, + 143.3, + 614.63 + ] + }, + { + "text": "%", + "bbox_points": [ + 157.66, + 606.62, + 164.66, + 614.63 + ] + }, + { + "text": "4.44(+", + "bbox_points": [ + 179.94, + 606.34, + 205.86, + 614.63 + ] + }, + { + "text": "3.8451,", + "bbox_points": [ + 207.44, + 606.62, + 233.52, + 614.63 + ] + }, + { + "text": "13.33(+6.67,", + "bbox_points": [ + 250.3, + 606.34, + 297.87, + 614.63 + ] + }, + { + "text": "3.8509)", + "bbox_points": [ + 300.24, + 606.62, + 327.07, + 614.63 + ] + }, + { + "text": "4.44(+3.8451,", + "bbox_points": [ + 346.39, + 606.34, + 398.38, + 614.63 + ] + }, + { + "text": "2.22)**", + "bbox_points": [ + 400.7, + 606.62, + 427.01, 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"text": "444.42(+19.2459,", + "bbox_points": [ + 346.39, + 655.38, + 411.58, + 663.67 + ] + }, + { + "text": "763.84(+16.5930,", + "bbox_points": [ + 440.44, + 655.38, + 505.69, + 663.67 + ] + } + ] + }, + { + "text": "(GVe) 10.7433) * 11.1116)*** 9.58)****", + "bbox_points": [ + 78.86, + 666.14, + 483.07, + 674.16 + ], + "words": [ + { + "text": "(GVe)", + "bbox_points": [ + 78.86, + 666.14, + 100.91, + 674.16 + ] + }, + { + "text": "10.7433)", + "bbox_points": [ + 187.94, + 666.14, + 219.17, + 674.16 + ] + }, + { + "text": "*", + "bbox_points": [ + 258.29, + 666.14, + 262.45, + 674.16 + ] + }, + { + "text": "11.1116)***", + "bbox_points": [ + 354.38, + 666.14, + 397.99, + 674.16 + ] + }, + { + "text": "9.58)****", + "bbox_points": [ + 448.44, + 666.14, + 483.07, + 674.16 + ] + } + ] + }, + { + "text": "Germination vigour cm 6.59(+ 0.1501, 6.67(+0.2500, 0.1443) 6.84(+0.1385, 0.08) 7.15(+0.1963, 0.1133)", + "bbox_points": [ + 70.86, + 679.87, + 521.58, + 688.16 + ], + "words": [ + { + "text": "Germination", + "bbox_points": [ + 70.86, + 680.15, + 117.01, + 688.16 + ] + }, + { + "text": "vigour", + "bbox_points": [ + 119.39, + 680.15, + 142.19, + 688.16 + ] + }, + { + "text": "cm", + "bbox_points": [ + 157.66, + 680.15, + 168.66, + 688.16 + ] + }, + { + "text": "6.59(+", + "bbox_points": [ + 179.94, + 679.87, + 205.86, + 688.16 + ] + }, + { + "text": "0.1501,", + "bbox_points": [ + 207.44, + 680.15, + 233.52, + 688.16 + ] + }, + { + "text": "6.67(+0.2500,", + "bbox_points": [ + 250.3, + 679.87, + 302.28, + 688.16 + ] + }, + { + "text": "0.1443)", + "bbox_points": [ + 304.61, + 680.15, + 331.43, + 688.16 + ] + }, + { + "text": "6.84(+0.1385,", + "bbox_points": [ + 346.39, + 679.87, + 398.38, + 688.16 + ] + }, + { + "text": "0.08)", + "bbox_points": [ + 400.7, + 680.15, + 418.69, + 688.16 + ] + }, + { + "text": "7.15(+0.1963,", + "bbox_points": [ + 440.44, + 679.87, + 492.43, + 688.16 + ] + }, + { + "text": "0.1133)", + "bbox_points": [ + 494.75, + 680.15, + 521.58, + 688.16 + ] + } + ] + }, + { + "text": "index (GVI) 0.0866) **** **** **", + "bbox_points": [ + 78.86, + 690.63, + 456.76, + 698.65 + ], + "words": [ + { + "text": "index", + "bbox_points": [ + 78.86, + 690.63, + 98.5, + 698.65 + ] + }, + { + "text": "(GVI)", + "bbox_points": [ + 100.86, + 690.63, + 122.25, + 698.65 + ] + }, + { + "text": "0.0866)", + "bbox_points": [ + 187.93, + 690.63, + 214.76, + 698.65 + ] + }, + { + "text": "****", + "bbox_points": [ + 258.29, + 690.63, + 274.93, + 698.65 + ] + }, + { + "text": "****", + "bbox_points": [ + 354.38, + 690.63, + 371.02, + 698.65 + ] + }, + { + "text": "**", + "bbox_points": [ + 448.44, + 690.63, + 456.76, + 698.65 + ] + } + ] + }, + { + "text": "Mean germination s 82.22(+ 3.8451, 91.10(+3.8502, 2.223) 84.33(+3.7535, 2.167) 97.77(+3.8502, 2.223)", + "bbox_points": [ + 70.86, + 704.36, + 521.59, + 712.66 + ], + "words": [ + { + "text": "Mean", + "bbox_points": [ + 70.86, + 704.64, + 91.51, + 712.65 + ] + }, + { + "text": "germination", 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456.76, + 723.14 + ], + "words": [ + { + "text": "time", + "bbox_points": [ + 78.86, + 715.13, + 94.76, + 723.14 + ] + }, + { + "text": "(MGT)", + "bbox_points": [ + 97.11, + 715.13, + 122.09, + 723.14 + ] + }, + { + "text": "2.22)", + "bbox_points": [ + 187.93, + 715.13, + 205.93, + 723.14 + ] + }, + { + "text": "***", + "bbox_points": [ + 258.29, + 715.13, + 270.77, + 723.14 + ] + }, + { + "text": "****", + "bbox_points": [ + 354.38, + 715.13, + 371.02, + 723.14 + ] + }, + { + "text": "**", + "bbox_points": [ + 448.44, + 715.13, + 456.76, + 723.14 + ] + } + ] + }, + { + "text": "The value outside the parentheses represents the mean while the values in parentheses represent the standard deviation and standard error; the significance levels", + "bbox_points": [ + 70.87, + 731.47, + 524.41, + 737.51 + ], + "words": [ + { + "text": "The", + "bbox_points": [ + 70.87, + 731.51, + 80.67, + 737.51 + ] + }, + { + "text": "value", + "bbox_points": [ + 82.77, + 731.51, + 97.14, + 737.51 + ] + }, + { + "text": "outside", + "bbox_points": [ + 99.27, + 731.51, + 119.24, + 737.51 + ] + }, + { + "text": "the", + "bbox_points": [ + 121.32, + 731.51, + 130.12, + 737.51 + ] + }, + { + "text": "parentheses", + "bbox_points": [ + 132.26, + 731.51, + 165.58, + 737.51 + ] + }, + { + "text": "represents", + "bbox_points": [ + 167.7, + 731.51, + 196.56, + 737.51 + ] + }, + { + "text": "the", + "bbox_points": [ + 198.59, + 731.51, + 207.39, + 737.51 + ] + }, + { + "text": "mean", + "bbox_points": [ + 209.48, + 731.51, + 224.72, + 737.51 + ] + }, + { + "text": "while", + "bbox_points": [ + 228.47, + 731.51, + 242.95, + 737.51 + ] + }, + { + "text": "the", + "bbox_points": [ + 245.08, + 731.51, + 253.88, + 737.51 + ] + }, + { + "text": "values", + "bbox_points": [ + 255.96, + 731.51, + 273.2, + 737.51 + ] + }, + { + "text": "in", + "bbox_points": [ + 275.3, + 731.51, + 280.16, + 737.51 + ] + }, + { + "text": "parentheses", + "bbox_points": [ + 282.27, + 731.51, + 315.68, + 737.51 + ] + }, + { + "text": "represent", + "bbox_points": [ + 317.76, + 731.51, + 343.74, + 737.51 + ] + }, + { + "text": "the", + "bbox_points": [ + 345.82, + 731.51, + 354.62, + 737.51 + ] + }, + { + "text": "standard", + "bbox_points": [ + 356.76, + 731.51, + 380.54, + 737.51 + ] + }, + { + "text": "deviation", + "bbox_points": [ + 382.55, + 731.51, + 407.28, + 737.51 + ] + }, + { + "text": "and", + "bbox_points": [ + 409.37, + 731.51, + 419.42, + 737.51 + ] + }, + { + "text": "standard", + "bbox_points": [ + 421.5, + 731.51, + 445.29, + 737.51 + ] + }, + { + "text": "error;", + "bbox_points": [ + 447.35, + 731.51, + 462.27, + 737.51 + ] + }, + { + "text": "the", + "bbox_points": [ + 464.3, + 731.51, + 473.11, + 737.51 + ] + }, + { + "text": "significance", + "bbox_points": [ + 475.25, + 731.47, + 506.95, + 737.51 + ] + }, + { + "text": "levels", + "bbox_points": [ + 509.05, + 731.51, + 524.41, + 737.51 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_02.txt b/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3689b8a3fbae3ad6cf97509c2457eac30c19602 --- /dev/null +++ b/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_02.txt @@ -0,0 +1 @@ +Germination parameters of C. annuum under different treatments diff --git a/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_03.jpg b/Media/2025/Afzal et al. - 2025 - Application of fertigation using biotreated agro-industrial wastewater (with Bacillus paramycoide/table_03.jpg new file mode 100644 index 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"kind": "table", + "label": "table_03", + "number": 3, + "caption": "Germination parameters of L. esculentum under different treatments", + "page": 8, + "table_bbox_points": [ + 67.87, + 85.1, + 527.41, + 306.47 + ], + "caption_bbox_points": [ + 70.87, + 75.45, + 358.46, + 85.1 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 18, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "Germination", + "bbox_points": [ + 70.87, + 99.72, + 109.4, + 105.72 + ], + "words": [ + { + "text": "Germination", + "bbox_points": [ + 70.87, + 99.72, + 109.4, + 105.72 + ] + } + ] + }, + { + "text": "parameters Units Control (DW) Treatment-1 (UTAIWW) Treatment-2 (50% TAIWW) Treatment-3 (100% TAIWW)", + "bbox_points": [ + 70.87, + 108.68, + 519.62, + 114.68 + ], + "words": [ + { + "text": "parameters", + "bbox_points": [ + 70.87, + 108.68, + 106.66, + 114.68 + ] + }, + { + "text": "Units", + "bbox_points": [ + 147.17, + 108.68, + 163.41, + 114.68 + ] + }, + { + "text": "Control", + "bbox_points": [ + 172.4, + 108.68, + 195.34, + 114.68 + ] + }, + { + "text": "(DW)", + "bbox_points": [ + 197.29, + 108.68, + 211.97, + 114.68 + ] + }, + { + "text": "Treatment-1", + "bbox_points": [ + 238.84, + 108.68, + 276.22, + 114.68 + ] + }, + { + "text": "(UTAIWW)", + "bbox_points": [ + 278.19, + 108.68, + 308.67, + 114.68 + ] + }, + { + "text": "Treatment-2", + "bbox_points": [ + 334.14, + 108.68, + 371.57, + 114.68 + ] + }, + { + "text": "(50%", + "bbox_points": [ + 373.49, + 108.68, + 387.6, + 114.68 + ] + }, + { + "text": "TAIWW)", + "bbox_points": [ + 389.59, + 108.68, + 413.59, + 114.68 + ] + }, + { + "text": "Treatment-3", + "bbox_points": [ + 436.7, + 108.68, + 474.12, + 114.68 + ] + }, + { + "text": "(100%", + "bbox_points": [ + 476.04, + 108.68, + 493.65, + 114.68 + ] + }, + { + "text": "TAIWW)", + "bbox_points": [ + 495.66, + 108.68, + 519.62, + 114.68 + ] + } + ] + }, + { + "text": "Final germination % 82.22(+ 91.11(+3.8510, 2.2233) 79.99(+6.6650, 3.8480) 97.78(+3.8510, 2.2233)", + "bbox_points": [ + 70.87, + 123.54, + 522.26, + 131.84 + ], + "words": [ + { + "text": "Final", + "bbox_points": [ + 70.87, + 123.82, + 89.17, + 131.84 + ] + }, + { + "text": "germination", + "bbox_points": [ + 91.56, + 123.82, + 134.92, + 131.84 + ] + }, + { + "text": "%", + "bbox_points": [ + 147.17, + 123.82, + 154.17, + 131.84 + ] + }, + { + "text": "82.22(+", + "bbox_points": [ + 172.4, + 123.54, + 202.74, + 131.84 + ] + }, + { + "text": "91.11(+3.8510,", + "bbox_points": [ + 238.85, + 123.54, + 295.26, + 131.84 + ] + }, + { + "text": "2.2233)", + "bbox_points": [ + 297.58, + 123.82, + 324.4, + 131.84 + ] + }, + { + "text": "79.99(+6.6650,", + "bbox_points": [ + 334.15, + 123.54, + 390.56, + 131.84 + ] + }, + { + "text": "3.8480)", + "bbox_points": [ + 392.88, + 123.82, + 419.7, + 131.84 + ] + }, + { + "text": "97.78(+3.8510,", + "bbox_points": [ + 436.7, + 123.54, + 493.11, + 131.84 + ] + }, + { + "text": "2.2233)", + "bbox_points": [ + 495.44, + 123.82, + 522.26, + 131.84 + ] + } + ] + }, + { + "text": "percentage 7.6960, **** **** ****", + "bbox_points": [ + 78.86, + 134.36, + 461.34, + 142.38 + ], + "words": [ + { + "text": "percentage", + "bbox_points": [ + 78.86, + 134.37, + 117.9, + 142.38 + ] + }, + { + "text": "7.6960,", + "bbox_points": [ + 180.4, + 134.37, + 206.48, + 142.38 + ] + }, + { + "text": "****", + "bbox_points": [ + 246.84, + 134.36, + 263.48, + 142.38 + ] + }, + { + "text": "****", + "bbox_points": [ + 342.14, + 134.36, + 358.78, + 142.38 + ] + }, + { + "text": "****", + "bbox_points": [ + 444.7, + 134.36, + 461.34, + 142.38 + ] + } + ] + }, + { + "text": "4.4433)", + "bbox_points": [ + 180.4, + 144.85, + 207.22, + 152.87 + ], + "words": [ + { + "text": "4.4433)", + "bbox_points": [ + 180.4, + 144.85, + 207.22, + 152.87 + ] + } + ] + }, + { + "text": "Germination % 11.11(+ 11.11(+7.6960, 4.4433) 8.89(+3.8451, 2.22)**** 17.78(+3.8509, 2.2233)", + "bbox_points": [ + 70.87, + 158.58, + 522.26, + 166.87 + ], + "words": [ + { + "text": "Germination", + "bbox_points": [ + 70.87, + 158.86, + 117.01, + 166.87 + ] + }, + { + "text": "%", + "bbox_points": [ + 147.17, + 158.86, + 154.17, + 166.87 + ] + }, + { + "text": "11.11(+", + "bbox_points": [ + 172.4, + 158.58, + 202.74, + 166.87 + ] + }, + { + "text": "11.11(+7.6960,", + "bbox_points": [ + 238.85, + 158.58, + 295.26, + 166.87 + ] + }, + { + "text": "4.4433)", + "bbox_points": [ + 297.58, + 158.86, + 324.4, + 166.87 + ] + }, + { + "text": "8.89(+3.8451,", + "bbox_points": [ + 334.15, + 158.58, + 386.13, + 166.87 + ] + }, + { + "text": "2.22)****", + "bbox_points": [ + 388.46, + 158.86, + 423.09, + 166.87 + ] + }, + { + "text": "17.78(+3.8509,", + "bbox_points": [ + 436.7, + 158.58, + 493.11, + 166.87 + ] + }, + { + "text": "2.2233)", + "bbox_points": [ + 495.44, + 158.86, + 522.26, + 166.87 + ] + } + ] + }, + { + "text": "energy 3.8451, 2.22) * ****", + "bbox_points": [ + 78.86, + 169.34, + 461.34, + 177.36 + ], + "words": [ + { + "text": "energy", + "bbox_points": [ + 78.86, + 169.34, + 102.76, + 177.36 + ] + }, + { + "text": "3.8451,", + "bbox_points": [ + 180.4, + 169.34, + 206.47, + 177.36 + ] + }, + { + "text": "2.22)", + "bbox_points": [ + 208.8, + 169.34, + 226.79, + 177.36 + ] + }, + { + "text": "*", + "bbox_points": [ + 246.84, + 169.34, + 251.0, + 177.36 + ] + }, + { + "text": "****", + "bbox_points": [ + 444.7, + 169.34, + 461.34, + 177.36 + ] + } + ] + }, + { + "text": "Germination % 391.51(+ 433.84(+18.3308, 380.94(+31.74, 18.3251) 465.6(+18.3424, 10.59)", + "bbox_points": [ + 70.86, + 183.07, + 522.27, + 191.36 + ], + "words": [ + { + "text": "Germination", + "bbox_points": [ + 70.86, + 183.35, + 117.01, + 191.36 + ] + }, + { + "text": "%", + "bbox_points": [ + 147.17, + 183.35, + 154.17, + 191.36 + ] + }, + { + "text": "391.51(+", + "bbox_points": [ + 172.4, + 183.07, + 207.1, + 191.36 + ] + }, + { + "text": "433.84(+18.3308,", + "bbox_points": [ + 238.84, + 183.07, + 304.04, + 191.36 + ] + }, + { + "text": "380.94(+31.74,", + "bbox_points": [ + 334.15, + 183.07, + 390.56, + 191.36 + ] + }, + { + "text": "18.3251)", + "bbox_points": [ + 392.88, + 183.35, + 424.12, + 191.36 + ] + }, + { + "text": "465.6(+18.3424,", + "bbox_points": [ + 436.7, + 183.07, + 497.53, + 191.36 + ] + }, + { + "text": "10.59)", + "bbox_points": [ + 499.86, + 183.35, + 522.27, + 191.36 + ] + } + ] + }, + { + "text": "velocity 36.6502, 10.5833)**** ** ****", + "bbox_points": [ + 78.86, + 193.83, + 461.34, + 201.85 + ], + "words": [ + { + "text": "velocity", + "bbox_points": [ + 78.86, + 193.83, + 106.63, + 201.85 + ] + }, + { + "text": "36.6502,", + "bbox_points": [ + 180.39, + 193.83, + 210.89, + 201.85 + ] + }, + { + "text": "10.5833)****", + "bbox_points": [ + 246.84, + 193.83, + 294.6, + 201.85 + ] + }, + { + "text": "**", + "bbox_points": [ + 342.14, + 193.83, + 350.46, + 201.85 + ] + }, + { + "text": "****", + "bbox_points": [ + 444.7, + 193.83, + 461.34, + 201.85 + ] + } + ] + }, + { + "text": "21.16)", + "bbox_points": [ + 180.39, + 204.32, + 202.8, + 212.34 + ], + "words": [ + { + "text": "21.16)", + "bbox_points": [ + 180.39, + 204.32, + 202.8, + 212.34 + ] + } + ] + }, + { + "text": "Germination cm 1356.58(+ 1396.67(+59.0340, 1044.47(+248.6035, 2023.98(+79.7148,", + "bbox_points": [ + 70.86, + 218.04, + 506.32, + 226.34 + ], + "words": [ + { + "text": "Germination", + "bbox_points": [ + 70.86, + 218.32, + 117.01, + 226.34 + ] + }, + { + "text": "cm", + "bbox_points": [ + 147.17, + 218.32, + 158.17, + 226.34 + ] + }, + { + "text": "1356.58(+", + "bbox_points": [ + 172.4, + 218.04, + 211.52, + 226.34 + ] + }, + { + "text": "1396.67(+59.0340,", + "bbox_points": [ + 238.84, + 218.04, + 308.46, + 226.34 + ] + }, + { + "text": "1044.47(+248.6035,", + "bbox_points": [ + 334.14, + 218.04, + 408.17, + 226.34 + ] + }, + { + "text": "2023.98(+79.7148,", + "bbox_points": [ + 436.7, + 218.04, + 506.32, + 226.34 + ] + } + ] + }, + { + "text": "index 126.9892) 34.0833)*** 143.5313)**** 46.0233)****", + "bbox_points": [ + 78.86, + 228.81, + 492.47, + 236.83 + ], + "words": [ + { + "text": "index", + "bbox_points": [ + 78.86, + 228.81, + 98.5, + 236.83 + ] + }, + { + "text": "126.9892)", + "bbox_points": [ + 180.39, + 228.81, + 216.05, + 236.83 + ] + }, + { + "text": "34.0833)***", + "bbox_points": [ + 246.84, + 228.81, + 290.44, + 236.83 + ] + }, + { + "text": "143.5313)****", + "bbox_points": [ + 342.14, + 228.81, + 394.34, + 236.83 + ] + }, + { + "text": "46.0233)****", + "bbox_points": [ + 444.7, + 228.81, + 492.47, + 236.83 + ] + } + ] + }, + { + "text": "Germination cm 6.14(+ 0.1213, 6.21(+0.0520, 0.03) 6.17(+0.0923, 0.0533)*** 6.30(+0.0173, 0.01)", + "bbox_points": [ + 70.86, + 242.54, + 509.0, + 250.83 + ], + "words": [ + { + "text": "Germination", + "bbox_points": [ + 70.86, + 242.82, + 117.01, + 250.83 + ] + }, + { + "text": "cm", + "bbox_points": [ + 147.17, + 242.82, 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fo/table_11.txt b/Media/2025/Aghababaei et al. - 2025 - Cost-effective evaluation of modified ochre soil and its combination with cationic polyacrylamide fo/table_11.txt new file mode 100644 index 0000000000000000000000000000000000000000..e4fc2e729cc3e6a7c68f10705b7346c8f6a9f273 --- /dev/null +++ b/Media/2025/Aghababaei et al. - 2025 - Cost-effective evaluation of modified ochre soil and its combination with cationic polyacrylamide fo/table_11.txt @@ -0,0 +1 @@ +Comparison of the methods and results with the previous studies diff --git a/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_01.jpg b/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3331f75b9fca0533f978f5d4edf8d2c7864a801c --- /dev/null +++ b/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9a7c4dbc38a6d493b89b5e5b83ab648e077d1a36d616b67ff3d6aa64c7f9eb01 +size 91931 diff --git a/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_01.txt b/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c4b4dc8a67bad8770e9f720103ddac39f265cc1 --- /dev/null +++ b/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_01.txt @@ -0,0 +1 @@ +Various sources of uncertainty or errors in hydrological modeling. Except for the ET error all other sources have a vast body of literature available. Pis precipitation, ET is evapotranspiration, Tis temperature, and Qis RO. Also, error in ET is dependent on temperature error. diff --git a/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_02.jpg b/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b526d5bc985142fe21787866cbaa34bc3e0daa64 --- /dev/null +++ b/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fdaf556f5617a76608223467f1efdd4cf039054988bedf2e3393d2ecc2498c8c +size 49924 diff --git a/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_02.txt b/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..cbc1fa45d077eb36ada48f6ec57c3a31bcf7a1bf --- /dev/null +++ b/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_02.txt @@ -0,0 +1 @@ +Monte Carlo algorithm used for uncertainty analysis. diff --git a/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_03.jpg b/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5ce29c5b2e7b777ce9a7cd4fc06300ec50bab891 --- /dev/null +++ b/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5afc2a6cdb54f2e19b03c0a30637d54a7e0d39147dbff07b32cd8e411bb2c115 +size 102085 diff --git a/Media/2025/Akhter and Ahanger - 2025 - Uncertainty in Evapotranspiration Inputs Impacts Hydrological Modeling/figure_03.txt b/Media/2025/Akhter and Ahanger - 2025 - 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(2006) Exponential error model was incorporated for", + "bbox_points": [ + 43.43, + 316.68, + 541.61, + 326.75 + ], + "words": [ + { + "text": "5.", + "bbox_points": [ + 43.43, + 318.73, + 49.84, + 326.74 + ] + }, + { + "text": "s2", + "bbox_points": [ + 155.68, + 317.7, + 163.65, + 325.7 + ] + }, + { + "text": "s", + "bbox_points": [ + 180.28, + 316.68, + 186.36, + 324.68 + ] + }, + { + "text": "¼", + "bbox_points": [ + 187.43, + 318.28, + 193.59, + 326.28 + ] + }, + { + "text": "0", + "bbox_points": [ + 195.82, + 318.56, + 200.23, + 326.58 + ] + }, + { + "text": "0:5", + "bbox_points": [ + 209.88, + 318.28, + 220.87, + 326.58 + ] + }, + { + "text": "Oudin", + "bbox_points": [ + 285.16, + 318.73, + 308.13, + 326.75 + ] + }, + { + "text": "et", + "bbox_points": [ + 310.51, + 318.63, + 316.83, + 326.63 + ] + }, + { + "text": "al.", + "bbox_points": [ + 319.24, + 318.63, + 328.15, + 326.63 + ] + }, + { + "text": "(2006)", + "bbox_points": [ + 330.52, + 318.73, + 353.67, + 326.75 + ] + }, + { + "text": "Exponential", + "bbox_points": [ + 375.82, + 318.73, + 419.44, + 326.75 + ] + }, + { + "text": "error", + "bbox_points": [ + 421.85, + 318.73, + 439.73, + 326.75 + ] + }, + { + "text": "model", + "bbox_points": [ + 442.09, + 318.73, + 464.57, + 326.75 + ] + }, + { + "text": "was", + "bbox_points": [ + 466.92, + 318.73, + 480.59, + 326.75 + ] + }, + { + "text": "incorporated", + "bbox_points": [ + 482.96, + 318.73, + 528.98, + 326.75 + ] + }, + { + "text": "for", + "bbox_points": [ + 531.38, + 318.73, + 541.61, + 326.75 + ] + } + ] + }, + { + "text": "Etrue ¼ Eobs exp shm", + "bbox_points": [ + 68.43, + 323.14, + 145.5, + 334.32 + ], + "words": [ + { + "text": "Etrue", + "bbox_points": [ + 68.43, + 324.92, + 83.95, + 333.66 + ] + }, + { + "text": "¼", + "bbox_points": [ + 86.63, + 324.74, + 92.79, + 332.74 + ] + }, + { + "text": "Eobs", + "bbox_points": [ + 95.02, + 324.92, + 109.14, + 333.94 + ] + }, + { + "text": "exp", + "bbox_points": [ + 110.95, + 325.02, + 123.68, + 333.04 + ] + }, + { + "text": "shm", + "bbox_points": [ + 130.79, + 323.14, + 145.5, + 334.32 + ] + } + ] + }, + { + "text": "2 taking PET errors into account", + "bbox_points": [ + 157.72, + 329.22, + 494.85, + 338.54 + ], + "words": [ + { + "text": "2", + "bbox_points": [ + 157.72, + 330.52, + 162.14, + 338.54 + ] + }, + { + "text": "taking", + "bbox_points": [ + 383.81, + 329.22, + 406.19, + 337.23 + ] + }, + { + "text": "PET", + "bbox_points": [ + 408.58, + 329.22, + 424.08, + 337.23 + ] + }, + { + "text": "errors", + "bbox_points": [ + 426.16, + 329.22, + 447.37, + 337.23 + ] + }, + { + "text": "into", + "bbox_points": [ + 449.74, + 329.22, + 463.97, + 337.23 + ] + }, + { + "text": "account", + "bbox_points": [ + 466.35, + 329.22, + 494.85, + 337.23 + ] + } + ] + }, + { + "text": "6. Ttrue ¼ Tobs þ dT dT ≏N(0, 4) Weerts & El Serafy Higher variance was chosen because", + "bbox_points": [ + 43.43, + 342.65, + 508.45, + 353.5 + ], + "words": [ + { + "text": "6.", + "bbox_points": [ + 43.43, + 344.53, + 49.84, + 352.54 + ] + }, + { + "text": "Ttrue", + "bbox_points": [ + 68.43, + 344.42, + 83.21, + 353.22 + ] + }, + { + "text": "¼", + "bbox_points": [ + 85.89, + 344.25, + 92.05, + 352.25 + ] + }, + { + "text": "Tobs", + "bbox_points": [ + 94.28, + 344.42, + 107.61, + 353.5 + ] + }, + { + "text": "þ", + "bbox_points": [ + 109.87, + 344.25, + 116.03, + 352.25 + ] + }, + { + "text": "dT", + "bbox_points": [ + 117.81, + 342.65, + 126.52, + 352.42 + ] + }, + { + "text": "dT", + "bbox_points": [ + 180.28, + 342.7, + 189.05, + 352.48 + ] + }, + { + "text": "≏N(0,", + "bbox_points": [ + 192.08, + 344.3, + 216.49, + 352.6 + ] + }, + { + "text": "4)", + "bbox_points": [ + 218.72, + 344.58, + 225.88, + 352.6 + ] + }, + { + "text": "Weerts", + "bbox_points": [ + 285.16, + 344.53, + 310.28, + 352.54 + ] + }, + { + "text": "&", + "bbox_points": [ + 312.66, + 344.53, + 319.99, + 352.54 + ] + }, + { + "text": "El", + "bbox_points": [ + 322.35, + 344.53, + 330.18, + 352.54 + ] + }, + { + "text": "Serafy", + "bbox_points": [ + 332.56, + 344.53, + 354.76, + 352.54 + ] + }, + { + "text": "Higher", + "bbox_points": [ + 375.82, + 344.53, + 401.05, + 352.54 + ] + }, + { + "text": "variance", + "bbox_points": [ + 403.43, + 344.53, + 434.14, + 352.54 + ] + }, + { + "text": "was", + "bbox_points": [ + 436.31, + 344.53, + 449.92, + 352.54 + ] + }, + { + "text": "chosen", + "bbox_points": [ + 452.3, + 344.53, + 477.69, + 352.54 + ] + }, + { + "text": "because", + "bbox_points": [ + 480.08, + 344.53, + 508.45, + 352.54 + ] + } + ] + }, + { + "text": "(2006) temperature Errors have relatively small", + "bbox_points": [ + 293.16, + 355.07, + 527.45, + 363.09 + ], + "words": [ + { + "text": "(2006)", + "bbox_points": [ + 293.16, + 355.07, + 316.31, + 363.09 + ] + }, + { + "text": "temperature", + "bbox_points": [ + 383.81, + 355.07, + 427.04, + 363.09 + ] + }, + { + "text": "Errors", + "bbox_points": [ + 429.45, + 355.07, + 452.13, + 363.09 + ] + }, + { + "text": "have", + "bbox_points": [ + 454.51, + 355.07, + 471.21, + 363.09 + ] + }, + { + "text": "relatively", + "bbox_points": [ + 473.61, + 355.07, + 506.11, + 363.09 + ] + }, + { + "text": "small", + "bbox_points": [ + 508.31, + 355.07, + 527.45, + 363.09 + ] + } + ] + }, + { + "text": "7. Ttrue ≏N(Tobs, s2) s2 ¼ 4 K Tajiki et al. (2020)", + "bbox_points": [ + 43.43, + 368.04, + 351.06, + 378.85 + ], + "words": [ + { + "text": "7.", + "bbox_points": [ + 43.43, + 369.07, + 49.84, + 377.09 + ] + }, + { + "text": "Ttrue", + "bbox_points": [ + 68.43, + 369.82, + 83.21, + 378.56 + ] + }, + { + "text": "≏N(Tobs,", + "bbox_points": [ + 85.89, + 369.64, + 119.75, + 378.85 + ] + }, + { + "text": "s2)", + "bbox_points": [ + 121.95, + 368.04, + 133.19, + 377.94 + ] + }, + { + "text": "s2", + "bbox_points": [ + 180.28, + 368.04, + 188.31, + 376.04 + ] + }, + { + "text": "¼", + "bbox_points": [ + 191.0, + 369.64, + 197.16, + 377.64 + ] + }, + { + "text": "4", + "bbox_points": [ + 199.39, + 369.92, + 203.8, + 377.94 + ] + }, + { + "text": "K", + "bbox_points": [ + 207.04, + 369.82, + 213.04, + 377.82 + ] + }, + { + "text": "Tajiki", + "bbox_points": [ + 285.16, + 369.07, + 305.54, + 377.09 + ] + }, + { + "text": "et", + "bbox_points": [ + 307.95, + 368.97, + 314.27, + 376.97 + ] + }, + { + "text": "al.", + "bbox_points": [ + 316.63, + 368.97, + 325.54, + 376.97 + ] + }, + { + "text": "(2020)", + "bbox_points": [ + 327.91, + 369.07, + 351.06, + 377.09 + ] + } + ] + }, + { + "text": "impact on RO compared with errors in", + "bbox_points": [ + 383.81, + 365.56, + 524.11, + 373.57 + ], + "words": [ + { + "text": "impact", + "bbox_points": [ + 383.81, + 365.56, + 408.24, + 373.57 + ] + }, + { + "text": "on", + "bbox_points": [ + 410.68, + 365.56, + 420.0, + 373.57 + ] + }, + { + "text": "RO", + "bbox_points": [ + 422.36, + 365.56, + 434.49, + 373.57 + ] + }, + { + "text": "compared", + "bbox_points": [ + 436.88, + 365.56, + 472.72, + 373.57 + ] + }, + { + "text": "with", + "bbox_points": [ + 475.09, + 365.56, + 491.06, + 373.57 + ] + }, + { + "text": "errors", + "bbox_points": [ + 493.45, + 365.56, + 514.67, + 373.57 + ] + }, + { + "text": "in", + "bbox_points": [ + 517.04, + 365.56, + 524.11, + 373.57 + ] + } + ] + }, + { + "text": "rainfall", + "bbox_points": [ + 383.81, + 376.05, + 409.36, + 384.06 + ], + "words": [ + { + "text": "rainfall", + "bbox_points": [ + 383.81, + 376.05, + 409.36, + 384.06 + ] + } + ] + }, + { + "text": "8. Ttrue ¼ Tobs þ dT dT ≏N(0, 4) Lü et al. (2016);", + "bbox_points": [ + 43.43, + 382.05, + 342.88, + 392.85 + ], + "words": [ + { + "text": "8.", + "bbox_points": [ + 43.43, + 383.93, + 49.84, + 391.94 + ] + }, + { + "text": "Ttrue", + "bbox_points": [ + 68.43, + 383.83, + 83.21, + 392.56 + ] + }, + { + "text": "¼", + "bbox_points": [ + 85.89, + 383.65, + 92.05, + 391.65 + ] + }, + { + "text": "Tobs", + "bbox_points": [ + 94.28, + 383.83, + 107.61, + 392.85 + ] + }, + { + "text": "þ", + "bbox_points": [ + 109.87, + 383.65, + 116.03, + 391.65 + ] + }, + { + "text": "dT", + "bbox_points": [ + 117.81, + 382.05, + 126.52, + 391.83 + ] + }, + { + "text": "dT", + "bbox_points": [ + 180.28, + 382.1, + 189.05, + 391.88 + ] + }, + { + "text": "≏N(0,", + "bbox_points": [ + 192.08, + 383.7, + 216.49, + 392.0 + ] + }, + { + "text": "4)", + "bbox_points": [ + 218.72, + 383.98, + 225.88, + 392.0 + ] + }, + { + "text": "Lü", + "bbox_points": [ + 285.16, + 383.93, + 295.07, + 391.94 + ] + }, + { + "text": "et", + "bbox_points": [ + 297.47, + 383.83, + 303.79, + 391.83 + ] + }, + { + "text": "al.", + "bbox_points": [ + 306.2, + 383.83, + 315.11, + 391.83 + ] + }, + { + "text": "(2016);", + "bbox_points": [ + 317.48, + 383.93, + 342.88, + 391.94 + ] + } + ] + }, + { + "text": "Steinschneider et al.", + "bbox_points": [ + 293.16, + 394.31, + 366.19, + 402.43 + ], + "words": [ + { + "text": "Steinschneider", + "bbox_points": [ + 293.16, + 394.42, + 346.35, + 402.43 + ] + }, + { + "text": "et", + "bbox_points": [ + 348.6, + 394.31, + 354.92, + 402.31 + ] + }, + { + "text": "al.", + "bbox_points": [ + 357.28, + 394.31, + 366.19, + 402.31 + ] + } + ] + }, + { + "text": "(2012)", + "bbox_points": [ + 293.16, + 404.9, + 316.31, + 412.92 + ], + "words": [ + { + "text": "(2012)", + "bbox_points": [ + 293.16, + 404.9, + 316.31, + 412.92 + ] + } + ] + }, + { + "text": "9. 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+ ], + "words": [ + { + "text": "Kumasi", + "bbox_points": [ + 134.36, + 438.86, + 161.75, + 446.88 + ] + }, + { + "text": "Ventilated", + "bbox_points": [ + 164.13, + 438.86, + 201.02, + 446.88 + ] + }, + { + "text": "Improved", + "bbox_points": [ + 203.36, + 438.86, + 238.07, + 446.88 + ] + }, + { + "text": "Pit", + "bbox_points": [ + 240.43, + 438.86, + 250.34, + 446.88 + ] + }, + { + "text": "4", + "bbox_points": [ + 259.6, + 438.86, + 264.01, + 446.88 + ] + }, + { + "text": "(2)", + "bbox_points": [ + 266.4, + 438.86, + 276.3, + 446.88 + ] + }, + { + "text": "11.7", + "bbox_points": [ + 331.48, + 438.86, + 346.73, + 446.88 + ] + }, + { + "text": "6", + "bbox_points": [ + 407.0, + 438.86, + 411.41, + 446.88 + ] + }, + { + "text": "(2.5)", + "bbox_points": [ + 413.8, + 438.86, + 430.12, + 446.88 + ] + }, + { + "text": "10.3", + "bbox_points": [ + 478.88, + 438.86, + 494.13, + 446.88 + ] + } + ] + }, + { + "text": "Latrine (KVIP)", + "bbox_points": [ + 142.36, + 449.35, + 196.52, + 457.36 + ], + "words": [ + { + "text": "Latrine", + "bbox_points": [ + 142.36, + 449.35, + 168.46, + 457.36 + ] + }, + { + "text": "(KVIP)", + "bbox_points": [ + 170.87, + 449.35, + 196.52, + 457.36 + ] + } + ] + }, + { + "text": "A public toilet (e.g. Water 33 (16.5) 22.1 5 (2.1) 9.8", + "bbox_points": [ + 134.36, + 459.89, + 489.71, + 467.91 + ], + "words": [ + { + "text": "A", + "bbox_points": [ + 134.36, + 459.89, + 140.36, + 467.91 + ] + }, + { + "text": "public", + "bbox_points": [ + 142.75, + 459.89, + 164.98, + 467.91 + ] + }, + { + "text": "toilet", + "bbox_points": [ + 167.36, + 459.89, + 185.74, + 467.91 + ] + }, + { + "text": "(e.g.", + "bbox_points": [ + 188.45, + 459.89, + 203.19, + 467.91 + ] + }, + { + "text": "Water", + "bbox_points": [ + 205.51, + 459.89, + 227.32, + 467.91 + ] + }, + { + "text": "33", + "bbox_points": [ + 259.6, + 459.89, + 268.43, + 467.91 + ] + }, + { + "text": "(16.5)", + "bbox_points": [ + 270.82, + 459.89, + 291.56, + 467.91 + ] + }, + { + "text": "22.1", + "bbox_points": [ + 331.48, + 459.89, + 346.73, + 467.91 + ] + }, + { + "text": "5", + "bbox_points": [ + 407.0, + 459.89, + 411.41, + 467.91 + ] + }, + { + "text": "(2.1)", + "bbox_points": [ + 413.8, + 459.89, + 430.12, + 467.91 + ] + }, + { + "text": "9.8", + "bbox_points": [ + 478.88, + 459.89, + 489.71, + 467.91 + ] + } + ] + }, + { + "text": "Closet (WC), KVIP, Pit Pan)", + "bbox_points": [ + 142.36, + 470.38, + 244.43, + 478.4 + ], + "words": [ + { + "text": "Closet", + "bbox_points": [ + 142.36, + 470.38, + 164.91, + 478.4 + ] + }, + { + "text": "(WC),", + "bbox_points": [ + 167.64, + 470.38, + 189.2, + 478.4 + ] + }, + { + "text": "KVIP,", + "bbox_points": [ + 191.51, + 470.38, + 213.29, + 478.4 + ] + }, + { + "text": "Pit", + "bbox_points": [ + 215.72, + 470.38, + 225.62, + 478.4 + ] + }, + { + "text": "Pan)", + "bbox_points": [ + 227.96, + 470.38, + 244.43, + 478.4 + ] + } + ] + }, + { + "text": "Open/Bush – – – 1.3", + "bbox_points": [ + 134.36, + 480.59, + 489.71, + 488.89 + ], + "words": [ + { + "text": "Open/Bush", + "bbox_points": [ + 134.36, + 480.87, + 176.22, + 488.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 259.6, + 480.59, + 263.6, + 488.59 + ] + }, + { + "text": "–", + "bbox_points": [ + 331.48, + 480.59, + 335.48, + 488.59 + ] + }, + { + "text": "–", + "bbox_points": [ + 407.0, + 480.59, + 411.0, + 488.59 + ] + }, + { + "text": "1.3", + "bbox_points": [ + 478.88, + 480.87, + 489.71, + 488.89 + ] + } + ] + }, + { + "text": "Other – 7.6 – –", + "bbox_points": [ + 134.36, + 491.08, + 482.88, + 499.37 + ], + "words": [ + { + "text": "Other", + "bbox_points": [ + 134.36, + 491.36, + 155.58, + 499.37 + ] + }, + { + "text": "–", + "bbox_points": [ + 259.6, + 491.08, + 263.6, + 499.08 + ] + }, + { + "text": "7.6", + "bbox_points": [ + 331.48, + 491.36, + 342.31, + 499.37 + ] + }, + { + "text": "–", + "bbox_points": [ + 407.0, + 491.08, + 411.0, + 499.08 + ] + }, + { + "text": "–", + "bbox_points": [ + 478.88, + 491.08, + 482.88, + 499.08 + ] + } + ] + }, + { + "text": "Water access Piped in Dwelling/compound 20 (10) 13.5 164 (68.3) 31.5", + "bbox_points": [ + 43.43, + 505.36, + 494.13, + 513.38 + ], + "words": [ + { + "text": "Water", + "bbox_points": [ + 43.43, + 505.36, + 65.24, + 513.38 + ] + }, + { + "text": "access", + "bbox_points": [ + 67.46, + 505.36, + 90.09, + 513.38 + ] + }, + { + "text": "Piped", + "bbox_points": [ + 134.36, + 505.36, + 154.84, + 513.38 + ] + }, + { + "text": "in", + "bbox_points": [ + 157.21, + 505.36, + 164.28, + 513.38 + ] + }, + { + "text": "Dwelling/compound", + "bbox_points": [ + 166.68, + 505.36, + 241.2, + 513.38 + ] + }, + { + "text": "20", + "bbox_points": [ + 259.6, + 505.36, + 268.43, + 513.38 + ] + }, + { + "text": "(10)", + "bbox_points": [ + 270.82, + 505.36, + 285.14, + 513.38 + ] + }, + { + "text": "13.5", + "bbox_points": [ + 331.48, + 505.36, + 346.73, + 513.38 + ] + }, + { + "text": "164", + "bbox_points": [ + 407.0, + 505.36, + 420.25, + 513.38 + ] + }, + { + "text": "(68.3)", + "bbox_points": [ + 422.64, + 505.36, + 443.38, + 513.38 + ] + }, + { + "text": "31.5", + "bbox_points": [ + 478.88, + 505.36, + 494.13, + 513.38 + ] + } + ] + }, + { + "text": "Public tap or standpipe 2 (1) 9.9 50 (20.8) 32.3", + "bbox_points": [ + 134.36, + 515.85, + 494.13, + 523.86 + ], + "words": [ + { + "text": "Public", + "bbox_points": [ + 134.36, + 515.85, + 157.01, + 523.86 + ] + }, + { + "text": "tap", + "bbox_points": [ + 159.36, + 515.85, + 170.67, + 523.86 + ] + }, + { + "text": "or", + "bbox_points": [ + 173.08, + 515.85, + 180.82, + 523.86 + ] + }, + { + "text": "standpipe", + "bbox_points": [ + 183.17, + 515.85, + 217.88, + 523.86 + ] + }, + { + "text": "2", + "bbox_points": [ + 259.6, + 515.85, + 264.01, + 523.86 + ] + }, + { + "text": "(1)", + "bbox_points": [ + 266.4, + 515.85, + 276.3, + 523.86 + ] + }, + { + "text": "9.9", + "bbox_points": [ + 331.48, + 515.85, + 342.31, + 523.86 + ] + }, + { + "text": "50", + "bbox_points": [ + 407.0, + 515.85, + 415.83, + 523.86 + ] + }, + { + "text": "(20.8)", + "bbox_points": [ + 418.22, + 515.85, + 438.96, + 523.86 + ] + }, + { + "text": "32.3", + "bbox_points": [ + 478.88, + 515.85, + 494.13, + 523.86 + ] + } + ] + }, + { + "text": "Bottled/dispenser water 45 (22.5) 3.5 15 (6.3) 1.4", + "bbox_points": [ + 134.36, + 526.39, + 489.71, + 534.41 + ], + "words": [ + { + "text": "Bottled/dispenser", + "bbox_points": [ + 134.36, + 526.39, + 198.12, + 534.41 + ] + }, + { + "text": "water", + "bbox_points": [ + 200.46, + 526.39, + 220.35, + 534.41 + ] + }, + { + "text": "45", + "bbox_points": [ + 259.6, + 526.39, + 268.43, + 534.41 + ] + }, + { + "text": "(22.5)", + "bbox_points": [ + 270.82, + 526.39, + 291.56, + 534.41 + ] + }, + { + "text": "3.5", + "bbox_points": [ + 331.48, + 526.39, + 342.31, + 534.41 + ] + }, + { + "text": "15", + "bbox_points": [ + 407.0, + 526.39, + 415.83, + 534.41 + ] + }, + { + "text": "(6.3)", + "bbox_points": [ + 418.22, + 526.39, + 434.54, + 534.41 + ] + }, + { + "text": "1.4", + "bbox_points": [ + 478.88, + 526.39, + 489.71, + 534.41 + ] + } + ] + }, + { + "text": "Sachet water 132 (66) 69.4 –", + "bbox_points": [ + 134.36, + 536.6, + 411.0, + 544.9 + ], + "words": [ + { + "text": "Sachet", + "bbox_points": [ + 134.36, + 536.88, + 158.41, + 544.9 + ] + }, + { + "text": "water", + "bbox_points": [ + 160.78, + 536.88, + 180.66, + 544.9 + ] + }, + { + "text": "132", + "bbox_points": [ + 259.6, + 536.88, + 272.84, + 544.9 + ] + }, + { + "text": "(66)", + "bbox_points": [ + 275.19, + 536.88, + 289.51, + 544.9 + ] + }, + { + "text": "69.4", + "bbox_points": [ + 331.48, + 536.88, + 346.73, + 544.9 + ] + }, + { + "text": "–", + "bbox_points": [ + 407.0, + 536.6, + 411.0, + 544.6 + ] + } + ] + }, + { + "text": "Tanker supply or vendor 1 (0.5) 1.6 – 12.3", + "bbox_points": [ + 134.36, + 547.09, + 494.13, + 555.39 + ], + "words": [ + { + "text": "Tanker", + "bbox_points": [ + 134.36, + 547.37, + 159.66, + 555.39 + ] + }, + { + "text": "supply", + "bbox_points": [ + 162.03, + 547.37, + 185.41, + 555.39 + ] + }, + { + "text": "or", + "bbox_points": [ + 187.6, + 547.37, + 195.33, + 555.39 + ] + }, + { + "text": "vendor", + "bbox_points": [ + 197.74, + 547.37, + 222.77, + 555.39 + ] + }, + { + "text": "1", + "bbox_points": [ + 259.59, + 547.37, + 264.01, + 555.39 + ] + }, + { + "text": "(0.5)", + "bbox_points": [ + 266.4, + 547.37, + 282.72, + 555.39 + ] + }, + { + "text": "1.6", + "bbox_points": [ + 331.48, + 547.37, + 342.31, + 555.39 + ] + }, + { + "text": "–", + "bbox_points": [ + 406.99, + 547.09, + 410.99, + 555.09 + ] + }, + { + "text": "12.3", + "bbox_points": [ + 478.88, + 547.37, + 494.13, + 555.39 + ] + } + ] + }, + { + "text": "provided", + "bbox_points": [ + 142.35, + 557.86, + 173.96, + 565.87 + ], + "words": [ + { + "text": "provided", + "bbox_points": [ + 142.35, + 557.86, + 173.96, + 565.87 + ] + } + ] + }, + { + "text": "Protected well, Tube well or – 5 (2.1) 9.9", + "bbox_points": [ + 134.36, + 568.12, + 489.71, + 576.42 + ], + "words": [ + { + "text": "Protected", + "bbox_points": [ + 134.36, + 568.4, + 168.66, + 576.42 + ] + }, + { + "text": "well,", + "bbox_points": [ + 170.98, + 568.4, + 187.82, + 576.42 + ] + }, + { + "text": "Tube", + "bbox_points": [ + 190.15, + 568.4, + 207.96, + 576.42 + ] + }, + { + "text": "well", + "bbox_points": [ + 210.16, + 568.4, + 224.99, + 576.42 + ] + }, + { + "text": "or", + "bbox_points": [ + 227.39, + 568.4, + 235.13, + 576.42 + ] + }, + { + "text": "–", + "bbox_points": [ + 259.59, + 568.12, + 263.59, + 576.12 + ] + }, + { + "text": "5", + "bbox_points": [ + 406.99, + 568.4, + 411.41, + 576.42 + ] + }, + { + "text": "(2.1)", + "bbox_points": [ + 413.8, + 568.4, + 430.12, + 576.42 + ] + }, + { + "text": "9.9", + "bbox_points": [ + 478.88, + 568.4, + 489.71, + 576.42 + ] + } + ] + }, + { + "text": "borehole", + "bbox_points": [ + 142.35, + 578.89, + 173.96, + 586.91 + ], + "words": [ + { + "text": "borehole", + "bbox_points": [ + 142.35, + 578.89, + 173.96, + 586.91 + ] + } + ] + }, + { + "text": "Rainwater – 4 (1.7) 3.8", + "bbox_points": [ + 134.36, + 589.1, + 489.71, + 597.4 + ], + "words": [ + { + "text": "Rainwater", + "bbox_points": [ + 134.36, + 589.38, + 171.02, + 597.4 + ] + }, + { + "text": "–", + "bbox_points": [ + 259.59, + 589.1, + 263.59, + 597.1 + ] + }, + { + "text": "4", + "bbox_points": [ + 406.99, + 589.38, + 411.41, + 597.4 + ] + }, + { + "text": "(1.7)", + "bbox_points": [ + 413.8, + 589.38, + 430.12, + 597.4 + ] + }, + { + "text": "3.8", + "bbox_points": [ + 478.88, + 589.38, + 489.71, + 597.4 + ] + } + ] + }, + { + "text": "Unimproved source – 2 (0.8) 8.8", + "bbox_points": [ + 134.36, + 599.59, + 489.71, + 607.88 + ], + "words": [ + { + "text": "Unimproved", + "bbox_points": [ + 134.36, + 599.87, + 179.22, + 607.88 + ] + }, + { + "text": "source", + "bbox_points": [ + 181.64, + 599.87, + 205.06, + 607.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 259.59, + 599.59, + 263.59, + 607.59 + ] + }, + { + "text": "2", + "bbox_points": [ + 406.99, + 599.87, + 411.41, + 607.88 + ] + }, + { + "text": "(0.8)", + "bbox_points": [ + 413.8, + 599.87, + 430.12, + 607.88 + ] + }, + { + "text": "8.8", + "bbox_points": [ + 478.88, + 599.87, + 489.71, + 607.88 + ] + } + ] + }, + { + "text": "Economic activity Engaged in economic activities, 111 (56) 38.9 126 (52.5) 43", + "bbox_points": [ + 43.42, + 613.87, + 487.71, + 621.89 + ], + "words": [ + { + "text": "Economic", + "bbox_points": [ + 43.42, + 613.87, + 80.14, + 621.89 + ] + }, + { + "text": "activity", + "bbox_points": [ + 82.49, + 613.87, + 108.42, + 621.89 + ] + }, + { + "text": "Engaged", + "bbox_points": [ + 134.36, + 613.87, + 165.34, + 621.89 + ] + }, + { + "text": "in", + "bbox_points": [ + 167.7, + 613.87, + 174.77, + 621.89 + ] + }, + { + "text": "economic", + "bbox_points": [ + 177.11, + 613.87, + 212.33, + 621.89 + ] + }, + { + "text": "activities,", + "bbox_points": [ + 214.69, + 613.87, + 248.22, + 621.89 + ] + }, + { + "text": "111", + "bbox_points": [ + 259.59, + 613.87, + 272.84, + 621.89 + ] + }, + { + "text": "(56)", + "bbox_points": [ + 275.18, + 613.87, + 289.5, + 621.89 + ] + }, + { + "text": "38.9", + "bbox_points": [ + 331.48, + 613.87, + 346.73, + 621.89 + ] + }, + { + "text": "126", + "bbox_points": [ + 406.99, + 613.87, + 420.24, + 621.89 + ] + }, + { + "text": "(52.5)", + "bbox_points": [ + 422.64, + 613.87, + 443.38, + 621.89 + ] + }, + { + "text": "43", + "bbox_points": [ + 478.88, + 613.87, + 487.71, + 621.89 + ] + } + ] + }, + { + "text": "retired, or on leave", + "bbox_points": [ + 142.35, + 624.36, + 210.13, + 632.37 + ], + "words": [ + { + "text": "retired,", + "bbox_points": [ + 142.35, + 624.36, + 167.84, + 632.37 + ] + }, + { + "text": "or", + "bbox_points": [ + 170.19, + 624.36, + 177.93, + 632.37 + ] + }, + { + "text": "on", + "bbox_points": [ + 180.17, + 624.36, + 189.49, + 632.37 + ] + }, + { + "text": "leave", + "bbox_points": [ + 191.85, + 624.36, + 210.13, + 632.37 + ] + } + ] + }, + { + "text": "Education Attended secondary school or 139 (69.5) 42 198 (82.5) 43.3", + "bbox_points": [ + 43.42, + 638.36, + 494.13, + 646.38 + ], + "words": [ + { + "text": "Education", + "bbox_points": [ + 43.42, + 638.36, + 80.27, + 646.38 + ] + }, + { + "text": "Attended", + "bbox_points": [ + 134.36, + 638.36, + 167.41, + 646.38 + ] + }, + { + "text": "secondary", + "bbox_points": [ + 169.73, + 638.36, + 206.28, + 646.38 + ] + }, + { + "text": "school", + "bbox_points": [ + 208.46, + 638.36, + 232.01, + 646.38 + ] + }, + { + "text": "or", + "bbox_points": [ + 234.36, + 638.36, + 242.1, + 646.38 + ] + }, + { + "text": "139", + "bbox_points": [ + 259.59, + 638.36, + 272.84, + 646.38 + ] + }, + { + "text": "(69.5)", + "bbox_points": [ + 275.18, + 638.36, + 295.92, + 646.38 + ] + }, + { + "text": "42", + "bbox_points": [ + 331.48, + 638.36, + 340.31, + 646.38 + ] + }, + { + "text": "198", + "bbox_points": [ + 406.99, + 638.36, + 420.24, + 646.38 + ] + }, + { + "text": "(82.5)", + 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"text": "attending", + "bbox_points": [ + 233.91, + 220.37, + 267.43, + 228.38 + ] + }, + { + "text": "for", + "bbox_points": [ + 269.8, + 220.37, + 280.03, + 228.38 + ] + }, + { + "text": "other", + "bbox_points": [ + 282.22, + 220.37, + 301.27, + 228.38 + ] + }, + { + "text": "0.720", + "bbox_points": [ + 323.2, + 220.37, + 342.87, + 228.38 + ] + }, + { + "text": "(0.010)", + "bbox_points": [ + 345.2, + 220.37, + 370.35, + 228.38 + ] + }, + { + "text": "–", + "bbox_points": [ + 392.2, + 220.09, + 396.2, + 228.09 + ] + }, + { + "text": "0.779", + "bbox_points": [ + 453.03, + 220.37, + 472.69, + 228.38 + ] + }, + { + "text": "(0.010)", + "bbox_points": [ + 475.03, + 220.37, + 500.18, + 228.38 + ] + }, + { + "text": "–", + "bbox_points": [ + 514.14, + 220.09, + 518.14, + 228.09 + ] + } + ] + }, + { + "text": "reasons)", + "bbox_points": [ + 72.0, + 230.86, + 101.88, + 238.87 + ], + "words": [ + { + "text": "reasons)", + "bbox_points": [ + 72.0, + 230.86, + 101.88, + 238.87 + ] + } + ] + }, + { + "text": "Child male (reference: child female) 0.899 (0.175) – 0.924 (0.379) –", + "bbox_points": [ + 64.0, + 244.58, + 518.14, + 252.87 + ], + "words": [ + { + "text": "Child", + "bbox_points": [ + 64.0, + 244.86, + 83.72, + 252.87 + ] + }, + { + "text": "male", + "bbox_points": [ + 86.06, + 244.86, + 103.54, + 252.87 + ] + }, + { + "text": "(reference:", + "bbox_points": [ + 105.96, + 244.86, + 144.19, + 252.87 + ] + }, + { + "text": "child", + "bbox_points": [ + 146.55, + 244.86, + 164.52, + 252.87 + ] + }, + { + "text": "female)", + "bbox_points": [ + 166.9, + 244.86, + 193.63, + 252.87 + ] + }, + { + "text": "0.899", + "bbox_points": [ + 323.2, + 244.86, + 342.87, + 252.87 + ] + }, + { + "text": "(0.175)", + "bbox_points": [ + 345.2, + 244.86, + 370.35, + 252.87 + ] + }, + { + "text": "–", + "bbox_points": [ + 392.2, + 244.58, + 396.2, + 252.58 + ] + }, + { + "text": "0.924", + "bbox_points": [ + 453.03, + 244.86, + 472.69, + 252.87 + ] + }, + { + "text": "(0.379)", + "bbox_points": [ + 475.02, + 244.86, + 500.18, + 252.87 + ] + }, + { + "text": "–", + "bbox_points": [ + 514.14, + 244.58, + 518.14, + 252.58 + ] + } + ] + }, + { + "text": "Child age (months) 0.963 (,0.001) 0.964 0.969 0.975", + "bbox_points": [ + 64.0, + 258.58, + 533.81, + 266.88 + ], + "words": [ + { + "text": "Child", + "bbox_points": [ + 64.0, + 258.86, + 83.72, + 266.88 + ] + }, + { + "text": "age", + "bbox_points": [ + 86.06, + 258.86, + 98.22, + 266.88 + ] + }, + { + "text": "(months)", + "bbox_points": [ + 100.63, + 258.86, + 133.08, + 266.88 + ] + }, + { + "text": "0.963", + "bbox_points": [ + 323.2, + 258.86, + 342.87, + 266.88 + ] + }, + { + "text": "(,0.001)", + "bbox_points": [ + 345.2, + 258.58, + 376.96, + 266.88 + ] + }, + { + "text": "0.964", + "bbox_points": [ + 392.2, + 258.86, + 411.86, + 266.88 + ] + }, + { + "text": "0.969", + "bbox_points": [ + 453.03, + 258.86, + 472.69, + 266.88 + ] + }, + { + "text": "0.975", + "bbox_points": [ + 514.14, + 258.86, + 533.81, + 266.88 + ] + } + ] + }, + { + "text": "(,0.001) (,0.001) (,0.001)", + "bbox_points": [ + 400.19, + 269.13, + 553.95, + 277.42 + ], + "words": [ + { + "text": "(,0.001)", + "bbox_points": [ + 400.19, + 269.13, + 431.95, + 277.42 + ] + }, + { + "text": "(,0.001)", + "bbox_points": [ + 461.02, + 269.13, + 492.78, + 277.42 + ] + }, + { + "text": "(,0.001)", + "bbox_points": [ + 522.13, + 269.13, + 553.95, + 277.42 + ] + } + ] + }, + { + "text": "Interaction: Child age with wealthiest quintile – – – 0.977 (0.021)", + "bbox_points": [ + 64.0, + 283.07, + 561.29, + 291.37 + ], + "words": [ + { + "text": "Interaction:", + "bbox_points": [ + 64.0, + 283.35, + 105.98, + 291.37 + ] + }, + { + "text": "Child", + "bbox_points": [ + 108.34, + 283.35, + 128.05, + 291.37 + ] + }, + { + "text": "age", + "bbox_points": [ + 130.45, + 283.35, + 142.61, + 291.37 + ] + }, + { + "text": "with", + "bbox_points": [ + 144.79, + 283.35, + 160.76, + 291.37 + ] + }, + { + "text": "wealthiest", + "bbox_points": [ 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0000000000000000000000000000000000000000..1cd5d36a6facaaf16baa43e4a288aefb91a094de --- /dev/null +++ b/Media/2025/Asamoah et al. - 2025 - Effect of household socioeconomic status on disposable diaper use and disposal in Greater Accra, Gha/table_04.txt @@ -0,0 +1 @@ +Incidence rate ratios from Poisson regression models of disposable diapers used per day reported by children’s carers in Greater diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..68d264bed23f3ac3921b8a4aed3f32d0ba8897a7 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0cb190fc2ff0e604b8f880b7a6f22c8fcd66a2ef9eb6e0b2cf77de695f5d700d +size 180016 diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..f7b6820ae1ea2e2b0f30d91d8b4b7a3411084c4e --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01.txt @@ -0,0 +1 @@ +(a) Major structural features of the study area, (b) geology of the study area, and (c) location of the study area. (continued.). diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01_part_2.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01_part_2.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0aec87e83fd5eef99cd82778ec6100a753aaad17 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01_part_2.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d734466e3c9188c96f5b69b08013cbbb1bcbfee6936186924ea0bbcf1c9f0146 +size 81296 diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01_part_2.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01_part_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..75b9ca4918baa3c02d50f379b31163a652a91d2c --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_01_part_2.txt @@ -0,0 +1 @@ +Continued. diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_02.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..56328875b2851470deecc5a9139e84570581cd23 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ce900940c8af85be319546aa425f469d10be3e9d0ec6a2a9e2e4cf31539691fe +size 145962 diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_02.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..27f92d49a230010967ee38859f09d737ead9c6f6 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_02.txt @@ -0,0 +1 @@ +Main aquifers in the study region (Wolfart 1966). diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_03.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1226d9434536b6ed833d7e183d35a84072d128bf --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:685d2b58e8d7fb97348ebb09c560c49a4041667d869bbf782a97e199841e5c1f +size 170029 diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_03.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..cafd88a2589bc5a367f4e70822da7e61f6777cab --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_03.txt @@ -0,0 +1 @@ +(a) Field setup of VES technique in the study area of Jbab and (b) Schlumberger configuration and its application in the field (taken from Othman et al. 2022). diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_04.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..50e122d6355495da8394a46fc60ddb1bcaf1909f --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:222defd14bef88e60182f4f2a203e10735adf3dcb3648d6b7f7840326c192e8f +size 55006 diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_04.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..997b2006d8451b889109ca667592e1cf0e05b0d6 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_04.txt @@ -0,0 +1 @@ +VES locations in Jbab area, Southern Syria. diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_05.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a6d7e8e162eccde33b250dd3fe59a376ddebb5eb --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:19384f3eece85ad86c3404fded219492158d32414612785309258e26ec152589 +size 79621 diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_05.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..0fbfd83010ed8d601bb9d6d65be4ce855300e08c --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_05.txt @@ -0,0 +1 @@ +(a) Five layers model of KHA at V13, (b) six layers model of HKQH at V12, and (c) seven layers model of HKHKH at V14, (b) Frequency distribution of the geoelectrical curve types in the Jbab area, Southern Syria. diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_06.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..feb2fdbfcbdb0c817207f00ec5faab074fd02c8e --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:49f2f36ef1bae43b180830402743d35f938632bd80ffd79e2365b7a869c355ec +size 181100 diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_06.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..e177a8a093ebde4e19561fb5a8c020a47c385238 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_06.txt @@ -0,0 +1 @@ +(a) Subsurface geoelectrical-tectonic model section along LP profile (Asfahani 2024a) and (b) 3D model with different geoelectrical results in the Jbab area. (1) Surface layer, clays, silty clays with basaltic pebbles and boulders, (2) cohesive basalt, (3) Clay products, (4) Loose and void basalt, (5) Cohesive basalt with the presence of interfacial layers of clay and degenerated basalts, (6) Basic solid basalt, (7) Fault, (8) Layer resistivity (Ω.m), and (9) VES point (Asfahani 2024a). diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_07.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8faa79309539c56d83e350013e71be1ce22c1b15 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:263708a5f4a47e11fb4dcefb785e0985f28e30b88061254cfe40794fbcbca268 +size 108446 diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_07.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..8df85fca68d6d8caf559c1ee3f7f61d0af88a948 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_07.txt @@ -0,0 +1 @@ +(a) Transverse resistance (TR), (b) transverse resistivity (ρt), (c) longitudinal conductance (LC), and (d) longitudinal resistivity (ρl) of the study area in Jbab, Southern Syria. diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_08.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..45dba0b7657c0653cb32c473cf3aa7d9795e7ccc --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8ef65d576ee6a9e33c451fbcc4a0fb44f35efb8accf06e0a45a50b3dd3a3c6d0 +size 38079 diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_08.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..2062639f4fabb8ec5f0121cfa979509c6b17eccc --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_08.txt @@ -0,0 +1 @@ +(a) Anisotropy (λ), (b) distribution of (λ) and the overburden thickness (hover) of the weathered Neogene basalt of the study area in Jbab, Southern Syria. diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_09.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3dad0a471811a4d269f77277d869cfcb31134b0b --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1f8a4a7933109ef2e2e55f6af23b98d57359cac1372e867fab5cc17887c49396 +size 107508 diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_09.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..796746ddbe8bfe95de83fe7d0a275c7a14165543 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_09.txt @@ -0,0 +1 @@ +(a) Fracture porosity (fw) of the study area in Jbab, Southern Syria, (b) plot of (λ) and (fw) with the VES stations in the study area of Jbab, Southern Syria, (c) positive correlation between (λ) and (wf) in the study area of Jbab, Southern Syria. diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_10.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ec142446bad6a5a929f09845353252904ea5d8bc --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:66434bd33b2dac0081cab543a7fcdb2d1f8922535a78121b44680f0013b004d2 +size 108828 diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_10.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ca80e9b5af237a9b958bf0f67d3558d0f287714 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_10.txt @@ -0,0 +1 @@ +(a) Thickness of weathered Neogene basalt aquifer (h); (b) resistivity of weathered Neogene basalt aquifer (ρ), (c) hydraulic conductivity of weathered Neogene basalt aquifer (K), and (d) Transmissivity of the weathered Neogene basalt aquifer (T) in the study area, Jbab, Southern Syria. diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_11.jpg b/Media/2025/Asfahani - 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Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_11.txt @@ -0,0 +1 @@ +(a) Transverse resistance (TR) of the aquifer, (b) positive correlation between the T and TR of the aquifer, and (c) negative correlation between λ and T of the aquifer. diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_12.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_12.jpg new file mode 100644 index 0000000000000000000000000000000000000000..bda815ed4ff386634a8dcf323fde90f783121d18 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/figure_12.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:45467211757aa1f053da1d513c2530185c35e27db28128b98115f83d17f2e4f4 +size 52310 diff --git a/Media/2025/Asfahani - 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Neogene basaltic/table_02.txt b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..c833c55f15f2a4f6e8b6d462de24c35c159d95f3 --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/table_02.txt @@ -0,0 +1 @@ +Different (D-Z) parameters in the study area of Jbab, Southern Syria diff --git a/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/table_03.jpg b/Media/2025/Asfahani - 2025 - Vertical electrical sounding technique for evaluating and characterizing weathered Neogene basaltic/table_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3df36079dcb9962da3a37670d3c9e2d686e6f15c --- /dev/null +++ b/Media/2025/Asfahani - 2025 - Vertical 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--git a/Media/2025/Beyene et al. - 2025 - Hydrological drought vulnerability assessment in Ethiopia using multi-criteria decision-making/table_03.txt b/Media/2025/Beyene et al. - 2025 - Hydrological drought vulnerability assessment in Ethiopia using multi-criteria decision-making/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e7d5c9e73be40d3998cb563864241ead842a347 --- /dev/null +++ b/Media/2025/Beyene et al. - 2025 - Hydrological drought vulnerability assessment in Ethiopia using multi-criteria decision-making/table_03.txt @@ -0,0 +1 @@ +Hydrological drought-vulnerable area coverage in 104 km2 diff --git a/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_01.jpg b/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_01.jpg new file mode 100644 index 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recovery/figure_01.txt @@ -0,0 +1 @@ +The methodological approach of this study. diff --git a/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_02.jpg b/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7db7270ab24585b82e8c0923c73934259744cba0 --- /dev/null +++ b/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4d2b9e24c471143da89642a3669ea2551187100deec94f3959eced0e17dad5ed +size 138483 diff --git a/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_02.txt b/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..d77931b5be7d81adef07a5a5d8d28cdd71d94ff2 --- /dev/null +++ b/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_02.txt @@ -0,0 +1 @@ +Treatment trains and unit processes. Dashed lines indicate variations in the treatment trains depending on scenarios Si. diff --git a/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_03.jpg b/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..800484c144f97f69101409958d44509f78a91c11 --- /dev/null +++ b/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1cf3838a8aba5e501bc3fb0117e01730ed7fe8e4c91717411e4c4a659626c5e1 +size 52163 diff --git a/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_03.txt b/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7787e54e8006df8d33252c484266ad69dd68c56 --- /dev/null +++ b/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/figure_03.txt @@ -0,0 +1 @@ +Performance criteria and indices of the large-scale treatment trains (87,000 m3/d) under scenarios Si. The PIs are presented as min–max range, while the average PI (black dots and data value) offers an estimate of typical performance. 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0.066", + "bbox_points": [ + 217.93, + 278.87, + 528.31, + 288.42 + ], + "words": [ + { + "text": "Maintenance", + "bbox_points": [ + 217.93, + 280.41, + 265.13, + 288.42 + ] + }, + { + "text": "and", + "bbox_points": [ + 267.48, + 280.41, + 280.96, + 288.42 + ] + }, + { + "text": "labour", + "bbox_points": [ + 283.3, + 280.41, + 306.51, + 288.42 + ] + }, + { + "text": "INR/m3", + "bbox_points": [ + 325.59, + 278.87, + 354.92, + 288.42 + ] + }, + { + "text": "Cost", + "bbox_points": [ + 406.88, + 280.41, + 422.78, + 288.42 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 444.36, + 280.41, + 455.19, + 288.42 + ] + }, + { + "text": "0.066", + "bbox_points": [ + 480.08, + 280.41, + 499.74, + 288.42 + ] + }, + { + "text": "0.066", + "bbox_points": [ + 508.65, + 280.41, + 528.31, + 288.42 + ] + } + ] + }, + { + "text": "Resource recovery Water recovery Treated wastewater for m3 irrigation water/ Benefit 0 0.11 0.083", + "bbox_points": [ + 43.43, + 292.88, + 528.31, + 303.1 + ], + "words": [ + { + "text": "Resource", + "bbox_points": [ + 43.43, + 294.41, + 76.32, + 302.42 + ] + }, + { + "text": "recovery", + "bbox_points": [ + 78.69, + 294.41, + 109.18, + 302.42 + ] + }, + { + "text": "Water", + "bbox_points": [ + 134.87, + 294.41, + 156.63, + 302.42 + ] + }, + { + "text": "recovery", + "bbox_points": [ + 159.03, + 294.41, + 189.57, + 302.42 + ] + }, + { + "text": "Treated", + "bbox_points": [ + 217.93, + 294.41, + 244.9, + 302.42 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 247.3, + 294.41, + 287.02, + 302.42 + ] + }, + { + "text": "for", + "bbox_points": [ + 289.36, + 294.41, + 299.6, + 302.42 + ] + }, + { + "text": "m3", + "bbox_points": [ + 325.59, + 292.88, + 335.87, + 302.42 + ] + }, + { + "text": "irrigation", + "bbox_points": [ + 332.56, + 297.75, + 357.46, + 303.1 + ] + }, + { + "text": "water/", + "bbox_points": [ + 359.88, + 294.41, + 378.37, + 303.1 + ] + }, + { + "text": "Benefit", + "bbox_points": [ + 406.88, + 294.13, + 432.48, + 302.43 + ] + }, + { + "text": "0", + "bbox_points": [ + 444.36, + 294.41, + 448.77, + 302.43 + ] + }, + { + "text": "0.11", + "bbox_points": [ + 480.08, + 294.41, + 495.32, + 302.43 + ] + }, + { + "text": "0.083", + "bbox_points": [ + 508.65, + 294.41, + 528.31, + 302.43 + ] + } + ] + }, + { + "text": "potential irrigation m3 treated", + "bbox_points": [ + 51.48, + 303.37, + 359.12, + 313.58 + ], + "words": [ + { + "text": "potential", + "bbox_points": [ + 51.48, + 304.9, + 83.26, + 312.91 + ] + }, + { + "text": "irrigation", + "bbox_points": [ + 225.98, + 304.9, + 259.14, + 312.91 + ] + }, + { + "text": "m3", + "bbox_points": [ + 333.58, + 303.37, + 343.87, + 312.91 + ] + }, + { + "text": "treated", + "bbox_points": [ + 340.55, + 308.24, + 359.12, + 313.58 + ] + } + ] + }, + { + "text": "Nutrient recovery TP kg P/m3 Benefit 0 0.11 0.083", + "bbox_points": [ + 134.87, + 313.85, + 528.31, + 323.4 + ], + "words": [ + { + "text": "Nutrient", + "bbox_points": [ + 134.87, + 315.39, + 165.58, + 323.4 + ] 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333.89 + ] + }, + { + "text": "N/m3", + "bbox_points": [ + 336.53, + 324.34, + 357.13, + 333.89 + ] + }, + { + "text": "Benefit", + "bbox_points": [ + 406.88, + 325.59, + 432.48, + 333.89 + ] + }, + { + "text": "0", + "bbox_points": [ + 444.36, + 325.87, + 448.77, + 333.89 + ] + }, + { + "text": "0.11", + "bbox_points": [ + 480.08, + 325.87, + 495.32, + 333.89 + ] + }, + { + "text": "0.083", + "bbox_points": [ + 508.65, + 325.87, + 528.31, + 333.89 + ] + } + ] + }, + { + "text": "Energy recovery Electricity kEhel/m3 Benefit 0 0 0.083", + "bbox_points": [ + 134.87, + 334.89, + 528.31, + 345.11 + ], + "words": [ + { + "text": "Energy", + "bbox_points": [ + 134.87, + 336.36, + 160.27, + 344.38 + ] + }, + { + "text": "recovery", + "bbox_points": [ + 162.6, + 336.36, + 193.15, + 344.38 + ] + }, + { + "text": "Electricity", + "bbox_points": [ + 217.93, + 336.36, + 254.72, + 344.38 + ] + }, + { + "text": "kEhel/m3", + "bbox_points": [ + 325.59, + 334.89, + 359.0, + 345.11 + ] + }, + { + "text": "Benefit", + "bbox_points": [ + 406.88, + 336.08, + 432.48, + 344.38 + ] + }, + { + "text": "0", + "bbox_points": [ + 444.36, + 336.36, + 448.77, + 344.38 + ] + }, + { + "text": "0", + "bbox_points": [ + 480.08, + 336.36, + 484.49, + 344.38 + ] + }, + { + "text": "0.083", + "bbox_points": [ + 508.65, + 336.36, + 528.31, + 344.38 + ] + } + ] + }, + { + "text": "Total of weights: 1 1 1", + "bbox_points": [ + 325.59, + 346.91, + 513.07, + 354.92 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 325.59, + 346.91, + 344.05, + 354.92 + ] + }, + { + "text": "of", + "bbox_points": [ + 346.45, + 346.91, + 353.52, + 354.92 + ] + }, + { + "text": "weights:", + "bbox_points": [ + 355.92, + 346.91, + 385.35, + 354.92 + ] + }, + { + "text": "1", + "bbox_points": [ + 444.36, + 346.91, + 448.78, + 354.92 + ] + }, + { + "text": "1", + "bbox_points": [ + 480.08, + 346.91, + 484.49, + 354.92 + ] + }, + { + "text": "1", + "bbox_points": [ + 508.65, + 346.91, + 513.07, + 354.92 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/table_02.txt b/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..95f420fa453f5f1527284037e9600025cc808f6c --- /dev/null +++ b/Media/2025/Breitenmoser et al. - 2025 - Technology evaluation and impact assessment of innovative wastewater treatment and resource recovery/table_02.txt @@ -0,0 +1 @@ +Criteria, indicators, and weights diff --git a/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_01.jpg b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b07252e8e5a62f5b7a4d913ecd8f64fcb7a126c4 --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b43a30d3ffbb621804eb6ff2b07244aa1c2d7a7281c092fb52acf8705b4de203 +size 109838 diff --git a/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_01.txt b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..607ae7e6adf929e8e1d1f76e5d50a711a3754f42 --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_01.txt @@ -0,0 +1 @@ +Schematic overview of the water cycle in KREIS-Haus with sampling points (1–5) and water flows (A–L). diff --git a/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_02.jpg b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..eae805aa1b5dd65b32a442658db79d399aa06129 --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4899472a8a9de6e1a46c5ff69881694cccf4b6f33c754b77a2c40135028272cd +size 73348 diff --git a/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_02.txt b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..28861025a0ddbe931394182a6f592088357f3d2c --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_02.txt @@ -0,0 +1 @@ +Water mass balance of the KREIS-Haus for the period from 1 July 2023 to 29 February 2024 (left) and simulated results for one year with continuous occupancy of two persons (right). Visualized with e!Sankey software. diff --git a/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_03.jpg b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..07ec93b1bc996775a5d75ebc5f0aae3c9df6a31b --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7cd52e231f947f849d11a636cf8d76f7f6302d17583d90a8bcc1651eb8f4a68d +size 86039 diff --git a/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_03.txt b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..f8bae294395c78b5864efce7e936ffdb66cc021c --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_03.txt @@ -0,0 +1 @@ +Course of COD and turbidity before and after the treatment of rainwater (left) and greywater (right). diff --git a/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_04.jpg b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7653191a0d07a83ab21fdd121c5c2fd8f5759295 --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Off-grid rainwater and greywater treatment and reuse on household level Conceptual approach and pil/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7e393fbfa3a813cbc6e30f29f433463053168cc53e76af15c5042d29f50a7f1e +size 37906 diff --git a/Media/2025/Buehler et al. - 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Relative values for turbidity, COD, TN, TP, EC, and surfactants (black dots) alongside the removal rates on the corresponding day versus day 0 (grey bars). diff --git a/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_03.jpg b/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9a7def64f5f71b1da5e39d589bf93211de73cdde --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de7bb89400cd79ba0677b96120ec1b5c1ab5d921c50c61a46d2d78186f8a0d77 +size 35025 diff --git a/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_03.txt b/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..3957590aa77769808ff95acbabca5201671b643a --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_03.txt @@ -0,0 +1 @@ +Boxplot depicting the distribution of pH and dissolved oxygen saturation over the course of 9 days in the biofilter. diff --git a/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_04.jpg b/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fe0a5168e4e9d1a6238928fa782e5ba317f37809 --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:58f5adcf249a53d99a128728d6071a96c51ab5e799929966b270537c06cf7a0c +size 94771 diff --git a/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_04.txt b/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1386d2e2cd2deb406813b1bd945ca7c76474997 --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_04.txt @@ -0,0 +1 @@ +Water balance for the measured data from October to December and January to April. The scenario for 1 year simulation is based on the measured data from January to April with climatological rainfall data for Cape Town. diff --git a/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_05.jpg b/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..91970fb5a68b3087ecbd4e6fb5749051e922b793 --- /dev/null +++ b/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1b1c7a2cd75fd34a17e5ec573751fcdaa04852eff2a30bd352f32d717cf74045 +size 93955 diff --git a/Media/2025/Buehler et al. - 2025 - Onsite greywater reuse in a low-tech solar-driven pilot laundry facility field insights on performa/figure_05.txt b/Media/2025/Buehler et al. - 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"Surfactants mL 1.96 + 1.21 (14) 1.17 + 0.86 (14) 0.46 + 0.52 (14) 61% 0.03 + 0.05 (13)", + "bbox_points": [ + 64.01, + 221.62, + 566.06, + 229.91 + ], + "words": [ + { + "text": "Surfactants", + "bbox_points": [ + 64.01, + 221.9, + 104.33, + 229.91 + ] + }, + { + "text": "mL", + "bbox_points": [ + 138.67, + 221.9, + 151.0, + 229.91 + ] + }, + { + "text": "1.96", + "bbox_points": [ + 176.83, + 221.9, + 192.08, + 229.91 + ] + }, + { + "text": "+", + "bbox_points": [ + 193.61, + 221.62, + 201.61, + 229.62 + ] + }, + { + "text": "1.21", + "bbox_points": [ + 203.13, + 221.9, + 218.38, + 229.91 + ] + }, + { + "text": "(14)", + "bbox_points": [ + 220.71, + 221.9, + 235.03, + 229.91 + ] + }, + { + "text": "1.17", + "bbox_points": [ + 273.6, + 221.9, + 288.85, + 229.91 + ] + }, + { + "text": "+", + "bbox_points": [ + 290.38, + 221.62, + 298.38, + 229.62 + ] + }, + { + "text": "0.86", + "bbox_points": [ + 299.96, + 221.9, + 315.21, + 229.91 + ] + }, + { + "text": "(14)", + "bbox_points": [ + 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243.92 + ], + "words": [ + { + "text": "Coliforms", + "bbox_points": [ + 64.01, + 235.9, + 99.36, + 243.92 + ] + }, + { + "text": "CFU/mL", + "bbox_points": [ + 138.67, + 235.9, + 171.39, + 243.92 + ] + }, + { + "text": "4.2", + "bbox_points": [ + 176.83, + 235.9, + 187.66, + 243.92 + ] + }, + { + "text": "105", + "bbox_points": [ + 196.9, + 234.37, + 208.99, + 243.92 + ] + }, + { + "text": "+", + "bbox_points": [ + 210.61, + 235.62, + 218.61, + 243.62 + ] + }, + { + "text": "4.2", + "bbox_points": [ + 220.14, + 235.9, + 230.97, + 243.92 + ] + }, + { + "text": "105", + "bbox_points": [ + 240.26, + 234.37, + 252.36, + 243.92 + ] + }, + { + "text": "(7)", + "bbox_points": [ + 254.78, + 235.9, + 264.68, + 243.92 + ] + }, + { + "text": "3.7", + "bbox_points": [ + 273.6, + 235.9, + 284.43, + 243.92 + ] + }, + { + "text": "105", + "bbox_points": [ + 293.73, + 234.37, + 305.83, + 243.92 + ] + }, + { + "text": "+", + "bbox_points": [ + 307.39, + 235.62, + 315.39, + 243.62 + ] + }, + { + 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+Maps of India subcontinent with the selected lakes distribution and air temperature (Kelvin) on 1 June 2019, i.e., during the heatwave period (a) and 18 July 2019, i.e., during the monsoon period (b). diff --git a/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_02.jpg b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d0d4684dd56c4e06fa78f0cc25ccf23add183c63 --- /dev/null +++ b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5e27e0b219957cd5952b7fab75faebad3b60b7f9b8b38c9edb68b3151f759d29 +size 159374 diff --git a/Media/2025/Caroni et al. - 2025 - A remote 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heatwaves and monsoons a case study/figure_03.txt @@ -0,0 +1 @@ +Thematic maps of India (dark line) and Pakistan (blue line) with CCI lakes showing lake area (km2) (a); lake average depth (b); lake elevation (m a.s.l.) (c). diff --git a/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_04.jpg b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..358aaf7d76b60e3a9bd021cfb30e04b19dd8c1c3 --- /dev/null +++ b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:baf2d8cd309b9be9a53a5c0469bcfff10cc415966b6c618ed294383066e9259d +size 125242 diff --git a/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_04.txt b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..601cd07a11cdca3175f00335a240f21ffa3c10c3 --- /dev/null +++ b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_04.txt @@ -0,0 +1 @@ +Interannual patterns of air temperature (°C) (a), total precipitation (m) (b), turbidity (NTU), (c) and chlorophyll-a (mg m3) (d) for the studied Indian lakes during the period 2017–2020. Each line corresponds to the LOWESS smoothed timeseries for one lake. diff --git a/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_05.jpg b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fb352535a5087ac5b1ad659742ced298c1f8dd01 --- /dev/null +++ b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c8bebec787698bd53640f2993cba4f1e3487524a9b4a7562e4b7a1dd7af3321f +size 74206 diff --git a/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_05.txt b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..658b31e07e5af060c9d870f0dec46d7aa2fc204d --- /dev/null +++ b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_05.txt @@ -0,0 +1 @@ +Dendrograms of the results of cluster analysis for lake chlorophyll-a (a) and turbidity (b) patterns in Indian lakes. The numbering refers to the lake identifiers in Figure 1. diff --git a/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_06.jpg b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1a6eb3f86acb0c2c84495dc608eea2887e2c21eb --- /dev/null +++ b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a55832aec0959e8c6b8d672ab672a304286721249b907a1e81991e7ba9bb278c +size 118591 diff --git a/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_06.txt b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ef54fed463f37545458b32d2045e095dcee32b5 --- /dev/null +++ b/Media/2025/Caroni et al. - 2025 - A remote sensing approach for characterizing lake responses to heatwaves and monsoons a case study/figure_06.txt @@ -0,0 +1 @@ +Lake chlorophyll-a (a) and turbidity (b) (relativized) patterns by cluster; 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2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_01.txt @@ -0,0 +1 @@ +Schematic representation of the wind tunnel devices analysed in this study. (a) Conventional Italian WT described by Capelli et al. (2009). (b) Optimized WT inspired by Tagliaferri et al. (2024). 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(a) Front view and (b) side view. diff --git a/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_04.jpg b/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c9572396bb9a5831a69fb816a81a5ac1232f3ece --- /dev/null +++ b/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4b667ef119a207e7c0cf58abd322471606451932ed5dbf9a4c87a1e31e004eac +size 35379 diff --git a/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_04.txt b/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..d486033532f247e31069b9320eaa87fc57b540f4 --- /dev/null +++ b/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_04.txt @@ -0,0 +1 @@ +Gas concentration trend, expressed as mg/sm3 of acetone, measured at the centre of the outlet section of the WT under investigation: optimized WT design inspired by Tagliaferri et al. (2024) (blue) and Italian conventional WT (Capelli et al. 2009) (violet). The green shaded region indicates the theoretical concentration range predicted by the model (39.7–48.5 mg/sm3). diff --git a/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_05.jpg b/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0edbf8bc91af989a49bff4fce9d24101a6e98c74 --- /dev/null +++ b/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d2a92628b180b74b1da4ea82afedab2f8d994a00c3a95bf147c41ab4de07262c +size 43568 diff --git a/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_05.txt b/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..580154096376624d43fdc5170f9f3e87bca54e77 --- /dev/null +++ b/Media/2025/Carrera et al. - 2025 - Improving the efficiency of wind tunnels for odour sampling analysis and optimization of the outlet/figure_05.txt @@ -0,0 +1 @@ +Gas concentration trend, expressed as mg/sm3 of acetone, measured at the exit of the Nalophan™tubular conveyance system under three different configurations: fully open (blue), partially closed (orange), and fully closed (violet). 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"order", + "bbox_points": [ + 506.61, + 707.98, + 526.08, + 716.0 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_04.txt b/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..43b3e51cb3b13d948a4e9a3592ddabc9829b6603 --- /dev/null +++ b/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_04.txt @@ -0,0 +1 @@ +Site selection criteria for the structures diff --git a/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_05.jpg b/Media/2025/Chandaniha et al. - 2025 - Identification of 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(pitepani intrusive) 230.06 5.49048", + "bbox_points": [ + 43.43, + 212.88, + 545.54, + 220.9 + ], + "words": [ + { + "text": "Nandgaongp.", + "bbox_points": [ + 43.43, + 212.88, + 91.63, + 220.9 + ] + }, + { + "text": "(pitepani", + "bbox_points": [ + 94.05, + 212.88, + 126.66, + 220.9 + ] + }, + { + "text": "intrusive)", + "bbox_points": [ + 129.09, + 212.88, + 162.82, + 220.9 + ] + }, + { + "text": "230.06", + "bbox_points": [ + 325.93, + 212.88, + 350.01, + 220.9 + ] + }, + { + "text": "5.49048", + "bbox_points": [ + 517.04, + 212.88, + 545.54, + 220.9 + ] + } + ] + }, + { + "text": "Nandgaongp. (bijli rhyolite fm.) 410.41 9.79461", + "bbox_points": [ + 43.43, + 226.89, + 545.53, + 234.9 + ], + "words": [ + { + "text": "Nandgaongp.", + "bbox_points": [ + 43.43, + 226.89, + 91.63, + 234.9 + ] + }, + { + "text": "(bijli", + "bbox_points": [ + 94.05, + 226.89, + 110.36, + 234.9 + ] + }, + { + "text": "rhyolite", + "bbox_points": [ + 112.71, + 226.89, + 140.25, + 234.9 + ] + }, + { + "text": "fm.)", + "bbox_points": [ + 142.58, + 226.89, + 156.82, + 234.9 + ] + }, + { + "text": "410.41", + "bbox_points": [ + 325.93, + 226.89, + 350.01, + 234.9 + ] + }, + { + "text": "9.79461", + "bbox_points": [ + 517.04, + 226.89, + 545.53, + 234.9 + ] + } + ] + }, + { + "text": "Raipur gp. 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(Chhattisgarh sgp.) 156.5 3.73494", + "bbox_points": [ + 43.43, + 254.89, + 545.53, + 262.91 + ], + "words": [ + { + "text": "Singhoragp.", + "bbox_points": [ + 43.43, + 254.89, + 86.28, + 262.91 + ] + }, + { + "text": "(Chhattisgarh", + "bbox_points": [ + 88.61, + 254.89, + 137.42, + 262.91 + ] + }, + { + "text": "sgp.)", + "bbox_points": [ + 139.8, + 254.89, + 156.45, + 262.91 + ] + }, + { + "text": "156.5", + "bbox_points": [ + 325.93, + 254.89, + 345.59, + 262.91 + ] + }, + { + "text": "3.73494", + "bbox_points": [ + 517.04, + 254.89, + 545.53, + 262.91 + ] + } + ] + }, + { + "text": "Tirodi gneissic complex gp. 2.64 0.063", + "bbox_points": [ + 43.43, + 268.9, + 536.7, + 276.91 + ], + "words": [ + { + "text": "Tirodi", + "bbox_points": [ + 43.43, + 268.9, + 65.22, + 276.91 + ] + }, + { + "text": "gneissic", + "bbox_points": [ + 67.63, + 268.9, + 95.69, + 276.91 + ] + }, + { + "text": "complex", + "bbox_points": [ + 98.02, + 268.9, + 128.43, + 276.91 + ] + }, + { + "text": "gp.", + "bbox_points": [ + 130.79, + 268.9, + 141.37, + 276.91 + ] + }, + { + "text": "2.64", + "bbox_points": [ + 325.93, + 268.9, + 341.17, + 276.91 + ] + }, + { + "text": "0.063", + "bbox_points": [ + 517.04, + 268.9, + 536.7, + 276.91 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_05.txt b/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..60b81715abd7b30add65c8ca7bacf6a00e1ccb7b --- /dev/null +++ b/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_05.txt @@ -0,0 +1 @@ +Geological features of the study area diff --git a/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_06.jpg b/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..97fa75d4d79c36eb1b452f76ffd0c7381140e1b5 --- /dev/null +++ b/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:de6e3c6ef290fa09cf2ac9f44d46d4edbf601f749d1ecc838513a56ec43d0883 +size 78773 diff --git a/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_06.json b/Media/2025/Chandaniha et al. - 2025 - Identification of sustainable groundwater recharge plan using AHP-, RS-, and GIS-based MCDA a case/table_06.json new file 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The figure displays cooperation frequencies between countries and regions, with the line color indicating the strength of relationships: deep, thick lines represent close, strong ties, while light, thin lines denote more distant, weaker connections. diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_03.jpg b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2f74271c4513f3da9a4c19826b925a4a5f76b9e0 --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:63655ddf28b90c0dd65880984b70c7ff0dc0cd61982ecbb1232d06d9eaec28cd +size 103812 diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_03.txt b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..56f3ee354b56ea1e50cae6fcee41ddda77b2b7c3 --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_03.txt @@ -0,0 +1 @@ +Affiliation cooperation. The figure illustrates the frequencies of cooperation between affiliations, with the line color indicating the strength of connections: deep, thick lines represent strong, close ties, while light, thin lines indicate weaker, more distant relationships. diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_04.jpg b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ae4b1b728438b66827ff77c47731f9bebe8d5c04 --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:435648e248c8a50ac550c4d98ad3e5bdc34ea0ba10e279b931ac4a86eeacd765 +size 56644 diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_04.txt b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..80f326e617d482d6d3618a07624058193e68bf9e --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_04.txt @@ -0,0 +1 @@ +Interpersonal collaboration. This figure shows the frequencies of cooperation between individuals, with the line color reflecting the strength of connections: deep, thick lines indicate close, strong relationships, while light, thin lines represent more distant, weaker ties. diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_05.jpg b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e98e2e80c694893820fad81cf349995f3cf94dd6 --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b8e1479ca46c8d1c5d70690b2e5a185413c1b42f9596bcc5dac5ac79cdb12e8f +size 157143 diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_05.txt b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..555b556fcc65d05c4127775002a42a9ecc8d1b52 --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_05.txt @@ -0,0 +1 @@ +Word co-occurrence in titles. The figure displays the frequencies of co-occurrence between words, with the line color repre- senting the strength of their relationships: deep, thick lines indicate strong, close co-occurrences, while light, thin lines reflect weaker, more distant relationships. diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_06.jpg b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..19c87ea6772172ef4bc2e8ca63f0673bc79570f2 --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fc21d04e97ceb2c1c89528d44596720b56f5c52f679d25ca5dff0c11b4b30ba5 +size 113303 diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_06.txt b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d5be23a6613ba65190d8b6853cb74c94f399549 --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_06.txt @@ -0,0 +1 @@ +Word co-occurrence in abstracts. The figure depicts the frequencies with which words co-occur, with the line color indicating the strength of their relationships: deep, thick lines represent strong, close co-occurrences, while light, thin lines denote weaker, more distant relationships. diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_07.jpg b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..aecf3a3706f7204c625cad471c2a7a1a7efa88f0 --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d36176d5a00f9dc82c492bc94fff1613dabb0b000ca39c109fc223e3da132458 +size 136251 diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_07.txt b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..aeee7b1d7b3956e125059bd39ba9dac48434de90 --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_07.txt @@ -0,0 +1 @@ +Keywords co-occurrence. This figure illustrates the frequencies with which keywords co-occur, with the line color representing the strength of their relationships: deep, thick lines indicate strong, close co-occurrences, while light, thin lines reflect weaker, more distant connections. diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_08.jpg b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b4e135fe5891eab9008cd93866297b4e4832dbe0 --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:694b9685d043c33f9db323ab56cc4d14aef9dc5b98603899068a285704280896 +size 117645 diff --git a/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_08.txt b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..a309e57b3976351e504d1d6d85b46e0c18d43ad1 --- /dev/null +++ b/Media/2025/Chen and Ding - 2025 - Systematic bibliographic analysis of heavy metal remediation/figure_08.txt @@ -0,0 +1 @@ +Keywords correlations. 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Each well individually shows a faster oxygen depletion rate when flushed with nitrogen, while the mean of the 96 wells also shows a significant difference between aerobic and anaerobic conditions. The tested sludge sample originated from a municipal wastewater treatment facility. (a) Oxygen depletion rates of each well in a 96-well plate, without (left) and with (right) nitrogen flushing and (b) mean oxygen depletion rates of the 96 wells in aerobic and anaerobic conditions. diff --git a/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_02.jpg b/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..07faf3c73797d6f72ca3e1dac0c92480e8eb74d7 --- /dev/null +++ b/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3d6b4d291a6dd40a169e8a19ea133aea7d96ae0ac49bf93464e85be7e34b92c7 +size 61297 diff --git a/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_02.txt b/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd7fa650c3a9fa3c3357439a6b29ce2d8b375377 --- /dev/null +++ b/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_02.txt @@ -0,0 +1 @@ +Influence of nitrogen flushing on (a) the DO concentration and (b) hydrolysis activity profiles for different sludge samples, with start DO concentration of 4.22 + 0.1 mg/L. The dashed line indicated the moment when the DO concentration reached 0% when nitrogen flushing was applied. (a) Dissolved oxygen profiles with and without nitrogen flushing of the headspace and (b) protein hydrolysis activity profiles when nitrogen flushing is applied. diff --git a/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_03.jpg b/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..eb4b49f2d39460eb1a06c0ebddc414e5fdb4dd8e --- /dev/null +++ b/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fa0da2c27b87d82ef94235a7ffa5a61d102172ebdd29bef74c65655b749ada24 +size 61702 diff --git a/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_03.txt b/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f31553b9751cb17ad7904c7857c2177a9ba16da --- /dev/null +++ b/Media/2025/Coelmont et al. - 2025 - Effect of aeration conditions on hydrolytic activity measurements/figure_03.txt @@ -0,0 +1 @@ +Protein hydrolysis rates of aerobic/anaerobic, floccular/granular sludge samples, measured without and with nitrogen flushing. The error bars represent three technical replicates. No significant difference without and with nitrogen flushing was observed. 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+Overview of the used samples, subdivided based on the aeration condition in their original environment and on their diff --git a/Media/2025/Costa et al. - 2025 - Sharp decline of diarrhea hospitalizations despite historical drought in Brazil The potential role/figure_01.jpg b/Media/2025/Costa et al. - 2025 - Sharp decline of diarrhea hospitalizations despite historical drought in Brazil The potential role/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4af5861a0b7b38ccfa737c74ee191154e04d6d2c --- /dev/null +++ b/Media/2025/Costa et al. - 2025 - Sharp decline of diarrhea hospitalizations despite historical drought in Brazil The potential role/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0e7155fdbe0804d6799e8571b7fd633e93808e72e33258ab55bcb00e8ee9b965 +size 135846 diff --git a/Media/2025/Costa et al. - 2025 - Sharp decline of diarrhea hospitalizations despite historical drought in Brazil The potential 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diff --git a/Media/2025/Eshetu et al. - 2025 - Water quality challenges in rural Ethiopia insights from the North Mecha district on physiochemical/figure_01.jpg b/Media/2025/Eshetu et al. - 2025 - Water quality challenges in rural Ethiopia insights from the North Mecha district on physiochemical/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..219112355411e5b63b7437aa5797b14536cf8bc7 --- /dev/null +++ b/Media/2025/Eshetu et al. - 2025 - Water quality challenges in rural Ethiopia insights from the North Mecha district on physiochemical/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8046f2a08e97080711400979515ec948ab3d7a4c5baa1d8955a8c1eb60ac5d4e +size 134980 diff --git a/Media/2025/Eshetu et al. - 2025 - Water quality challenges in rural Ethiopia insights from the North Mecha district on physiochemical/figure_01.txt b/Media/2025/Eshetu et al. - 2025 - Water quality challenges in rural Ethiopia insights from the 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+ ] + }, + { + "text": "250", + "bbox_points": [ + 500.54, + 481.21, + 513.79, + 489.23 + ] + } + ] + }, + { + "text": "Iron (mg/L) 0.03 + 0.03 0.18 + 0.25 0.24 + 0.31 0.07 + 0.05 ,0.3", + "bbox_points": [ + 43.43, + 494.93, + 518.01, + 503.23 + ], + "words": [ + { + "text": "Iron", + "bbox_points": [ + 43.43, + 495.21, + 58.93, + 503.23 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 61.29, + 495.21, + 86.68, + 503.23 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 130.51, + 495.21, + 145.76, + 503.23 + ] + }, + { + "text": "+", + "bbox_points": [ + 148.88, + 494.93, + 156.88, + 502.93 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 159.99, + 495.21, + 175.24, + 503.23 + ] + }, + { + "text": "0.18", + "bbox_points": [ + 247.35, + 495.21, + 262.6, + 503.23 + ] + }, + { + "text": "+", + "bbox_points": [ + 265.72, + 494.93, + 273.72, + 502.93 + ] + }, + { + "text": "0.25", + "bbox_points": [ + 276.83, + 495.21, + 292.08, + 503.23 + ] + }, + { + "text": "0.24", + "bbox_points": [ + 334.09, + 495.21, + 349.34, + 503.23 + ] + }, + { + "text": "+", + "bbox_points": [ + 352.46, + 494.93, + 360.46, + 502.93 + ] + }, + { + "text": "0.31", + "bbox_points": [ + 363.57, + 495.21, + 378.82, + 503.23 + ] + }, + { + "text": "0.07", + "bbox_points": [ + 418.22, + 495.21, + 433.47, + 503.23 + ] + }, + { + "text": "+", + "bbox_points": [ + 436.59, + 494.93, + 444.59, + 502.93 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 447.7, + 495.21, + 462.95, + 503.23 + ] + }, + { + "text": ",0.3", + "bbox_points": [ + 500.54, + 494.93, + 518.01, + 503.23 + ] + } + ] + }, + { + "text": "NH4 (mg/L) 0.11 + 0.04 0.18 + 0.18 0.15 + 0.11 0.43 + 0.43 0.5", + "bbox_points": [ + 43.43, + 508.94, + 511.37, + 517.96 + ], + "words": [ + { + "text": "NH4", + "bbox_points": [ + 43.43, + 509.22, + 60.46, + 517.96 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 62.87, + 509.22, + 88.26, + 517.23 + ] + }, + { + "text": "0.11", + "bbox_points": [ + 130.51, + 509.22, + 145.75, + 517.23 + ] + }, + { + "text": "+", + "bbox_points": [ + 148.88, + 508.94, + 156.88, + 516.94 + ] + }, + { + "text": "0.04", + "bbox_points": [ + 159.99, + 509.22, + 175.23, + 517.23 + ] + }, + { + "text": "0.18", + "bbox_points": [ + 247.35, + 509.22, + 262.6, + 517.23 + ] + }, + { + "text": "+", + "bbox_points": [ + 265.72, + 508.94, + 273.72, + 516.94 + ] + }, + { + "text": "0.18", + "bbox_points": [ + 276.83, + 509.22, + 292.08, + 517.23 + ] + }, + { + "text": "0.15", + "bbox_points": [ + 334.09, + 509.22, + 349.34, + 517.23 + ] + }, + { + "text": "+", + "bbox_points": [ + 352.46, + 508.94, + 360.46, + 516.94 + ] + }, + { + "text": "0.11", + "bbox_points": [ + 363.57, + 509.22, + 378.82, + 517.23 + ] + }, + { + "text": "0.43", + "bbox_points": [ + 418.22, + 509.22, + 433.47, + 517.23 + ] + }, + { + "text": "+", + "bbox_points": [ + 436.59, + 508.94, + 444.59, + 516.94 + ] + }, + { + "text": "0.43", + "bbox_points": [ + 447.7, + 509.22, + 462.95, + 517.23 + ] + }, + { + "text": "0.5", + "bbox_points": [ + 500.54, + 509.22, + 511.37, + 517.23 + ] + } + ] + }, + { + "text": "Fcr (mg/L) 0 0 0 0.24 + 0.5 0.2–0.5", + "bbox_points": [ + 43.43, + 522.94, + 526.17, + 531.24 + ], + "words": [ + { + "text": "Fcr", + "bbox_points": [ + 43.43, + 523.22, + 55.33, + 531.24 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 57.71, + 523.22, + 83.11, + 531.24 + ] + }, + { + "text": "0", + "bbox_points": [ + 130.51, + 523.22, + 134.92, + 531.24 + ] + }, + { + "text": "0", + "bbox_points": [ + 247.35, + 523.22, + 251.77, + 531.24 + ] + }, + { + "text": "0", + "bbox_points": [ + 334.09, + 523.22, + 338.51, + 531.24 + ] + }, + { + "text": "0.24", + "bbox_points": [ + 418.22, + 523.22, + 433.47, + 531.24 + ] + }, + { + "text": "+", + "bbox_points": [ + 436.59, + 522.94, + 444.59, + 530.94 + ] + }, + { + "text": "0.5", + "bbox_points": [ + 447.7, + 523.22, + 458.53, + 531.24 + ] + }, + { + "text": "0.2–0.5", + "bbox_points": [ + 500.54, + 522.94, + 526.17, + 531.24 + ] + } + ] + }, + { + "text": "Note EC electrical conductivity; Temp temperature; Turb turbidity; NO nitrate; PO phosphate; Ca hard calcium hardness; To hard total hardness; NH ammonia; fcr free", + "bbox_points": [ + 43.43, + 539.57, + 545.46, + 545.6 + ], + "words": [ + { + "text": "Note", + "bbox_points": [ + 43.43, + 539.57, + 56.41, + 545.57 + ] + }, + { + "text": "EC", + "bbox_points": [ + 61.17, + 539.6, + 68.35, + 545.6 + ] + }, + { + "text": "electrical", + "bbox_points": [ + 73.02, + 539.6, + 97.49, + 545.6 + ] + }, + { + "text": "conductivity;", + "bbox_points": [ + 100.63, + 539.6, + 135.08, + 545.6 + ] + }, + { + "text": "Temp", + "bbox_points": [ + 138.16, + 539.6, + 153.27, + 545.6 + ] + }, + { + "text": "temperature;", + "bbox_points": [ + 157.94, + 539.6, + 193.12, + 545.6 + ] + }, + { + "text": "Turb", + "bbox_points": [ + 196.21, + 539.6, + 208.32, + 545.6 + ] + }, + { + "text": "turbidity;", + "bbox_points": [ + 212.99, + 539.6, + 237.07, + 545.6 + ] + }, + { + "text": "NO", + "bbox_points": [ + 240.14, + 539.6, + 248.51, + 545.6 + ] + }, + { + "text": "nitrate;", + "bbox_points": [ + 255.74, + 539.6, + 274.92, + 545.6 + ] + }, + { + "text": "PO", + "bbox_points": [ + 278.02, + 539.6, + 285.7, + 545.6 + ] + }, + { + "text": "phosphate;", + "bbox_points": [ + 292.82, + 539.6, + 323.03, + 545.6 + ] + }, + { + "text": "Ca", + "bbox_points": [ + 326.04, + 539.6, + 333.1, + 545.6 + ] + }, + { + "text": "hard", + "bbox_points": [ + 336.1, + 539.6, + 348.33, + 545.6 + ] + }, + { + "text": "calcium", + "bbox_points": [ + 353.08, + 539.6, + 374.0, + 545.6 + ] + }, + { + "text": "hardness;", + "bbox_points": [ + 377.06, + 539.6, + 403.41, + 545.6 + ] + }, + { + "text": "To", + "bbox_points": [ + 406.48, + 539.6, + 412.98, + 545.6 + ] + }, + { + "text": "hard", + "bbox_points": [ + 415.98, + 539.6, + 428.21, + 545.6 + ] + }, + { + "text": "total", + "bbox_points": [ + 432.9, + 539.6, + 445.07, + 545.6 + ] + }, + { + "text": "hardness;", + "bbox_points": [ + 448.15, + 539.6, + 474.5, + 545.6 + ] + }, + { + "text": "NH", + "bbox_points": [ + 477.57, + 539.6, + 485.75, + 545.6 + ] + }, + { + "text": "ammonia;", + "bbox_points": [ + 492.94, + 539.6, + 519.86, + 545.6 + ] + }, + { + "text": "fcr", + "bbox_points": [ + 522.99, + 539.6, + 530.11, + 545.6 + ] + }, + { + "text": "free", + "bbox_points": [ + 534.78, + 539.6, + 545.46, + 545.6 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Eshetu et al. - 2025 - Water quality challenges in rural Ethiopia insights from the North Mecha district on physiochemical/table_02.txt b/Media/2025/Eshetu et al. - 2025 - Water quality challenges in rural Ethiopia insights from the North Mecha district on physiochemical/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d367386227235b93185fa3fdda622792b5d4a5f --- /dev/null +++ b/Media/2025/Eshetu et al. - 2025 - Water quality challenges in rural Ethiopia insights from the North Mecha district on 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Incid_Enf_Inte: Weekly incidence rate of diarrhea in children aged 0–59 months in the intervention village. 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+ "cells": null, + "text_rows": [ + { + "text": "Intervention N ¼ 125 Control N ¼ 109 Set N ¼ 234", + "bbox_points": [ + 303.02, + 311.15, + 497.6, + 317.19 + ], + "words": [ + { + "text": "Intervention", + "bbox_points": [ + 303.02, + 311.19, + 341.5, + 317.19 + ] + }, + { + "text": "N", + "bbox_points": [ + 343.5, + 311.15, + 348.25, + 317.15 + ] + }, + { + "text": "¼", + "bbox_points": [ + 349.46, + 311.15, + 354.08, + 317.15 + ] + }, + { + "text": "125", + "bbox_points": [ + 355.29, + 311.19, + 365.79, + 317.19 + ] + }, + { + "text": "Control", + "bbox_points": [ + 390.9, + 311.19, + 413.83, + 317.19 + ] + }, + { + "text": "N", + "bbox_points": [ + 415.79, + 311.15, + 420.53, + 317.15 + ] + }, + { + "text": "¼", + "bbox_points": [ + 421.74, + 311.15, + 426.36, + 317.15 + ] + }, + { + "text": "109", + "bbox_points": [ + 427.52, + 311.19, + 438.02, + 317.19 + ] + }, + { + "text": "Set", + "bbox_points": [ + 463.12, + 311.19, + 473.37, + 317.19 + ] + }, + { + "text": "N", + 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{ + "text": "Household target Village categories Frequency (%) Mean + SD 95% CI p-value", + "bbox_points": [ + 64.01, + 570.01, + 564.6, + 576.05 + ], + "words": [ + { + "text": "Household", + "bbox_points": [ + 64.01, + 570.05, + 97.04, + 576.05 + ] + }, + { + "text": "target", + "bbox_points": [ + 99.04, + 570.05, + 118.03, + 576.05 + ] + }, + { + "text": "Village", + "bbox_points": [ + 182.89, + 570.05, + 203.81, + 576.05 + ] + }, + { + "text": "categories", + "bbox_points": [ + 205.79, + 570.05, + 238.4, + 576.05 + ] + }, + { + "text": "Frequency", + "bbox_points": [ + 303.7, + 570.05, + 336.24, + 576.05 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 338.17, + 570.05, + 347.34, + 576.05 + ] + }, + { + "text": "Mean", + "bbox_points": [ + 385.96, + 570.05, + 403.33, + 576.05 + ] + }, + { + "text": "+", + "bbox_points": [ + 404.5, + 570.01, + 410.5, + 576.01 + ] + }, + { + "text": "SD", + "bbox_points": [ + 411.7, + 570.05, + 420.07, + 576.05 + ] + }, + { + "text": "95%", + "bbox_points": [ + 469.25, + 570.05, + 481.3, + 576.05 + ] + }, + { + "text": "CI", + "bbox_points": [ + 483.31, + 570.05, + 489.49, + 576.05 + ] + }, + { + "text": "p-value", + "bbox_points": [ + 542.27, + 570.01, + 564.6, + 576.05 + ] + } + ] + }, + { + "text": "Start of intervention (Week 1)", + "bbox_points": [ + 64.01, + 585.09, + 169.98, + 593.09 + ], + "words": [ + { + "text": "Start", + "bbox_points": [ + 64.01, + 585.09, + 80.73, + 593.09 + ] + }, + { + "text": "of", + "bbox_points": [ + 83.11, + 585.09, + 90.02, + 593.09 + ] + }, + { + "text": "intervention", + "bbox_points": [ + 92.41, + 585.09, + 135.37, + 593.09 + ] + }, + { + "text": "(Week", + "bbox_points": [ + 137.76, + 585.09, + 160.43, + 593.09 + ] + }, + { + "text": "1)", + "bbox_points": [ + 162.82, + 585.09, + 169.98, + 593.09 + ] + } + ] + }, + { + "text": "General population Intervention N ¼ 1,166 292 (25.0) 2.34 + 2.5 1.89–2.78 0.001*", + "bbox_points": [ + 64.01, + 598.91, + 566.09, + 607.21 + ], + "words": [ + { + "text": "General", + "bbox_points": [ + 64.01, + 599.19, + 92.94, + 607.21 + ] + }, + { + "text": "population", + "bbox_points": [ + 95.3, + 599.19, + 134.13, + 607.21 + ] + }, + { + "text": "Intervention", + "bbox_points": [ + 182.89, + 599.19, + 227.46, + 607.21 + ] + }, + { + "text": "N", + "bbox_points": [ + 229.83, + 599.09, + 236.25, + 607.09 + ] + }, + { + "text": "¼", + "bbox_points": [ + 237.83, + 598.91, + 243.99, + 606.91 + ] + }, + { + "text": "1,166", + "bbox_points": [ + 245.54, + 599.19, + 265.2, + 607.21 + ] + }, + { + "text": "292", + "bbox_points": [ + 303.7, + 599.19, + 316.95, + 607.21 + ] + }, + { + "text": "(25.0)", + "bbox_points": [ + 319.35, + 599.19, + 340.09, + 607.21 + ] + }, + { + "text": "2.34", + "bbox_points": [ + 385.96, + 599.19, + 401.21, + 607.21 + ] + }, + { + "text": "+", + "bbox_points": [ + 404.33, + 598.91, + 412.33, + 606.91 + ] + }, + { + "text": "2.5", + "bbox_points": [ + 415.44, + 599.19, + 426.28, + 607.21 + ] + }, + { + "text": "1.89–2.78", + "bbox_points": [ + 469.25, + 598.91, + 503.71, + 607.21 + ] + }, + { + "text": "0.001*", + "bbox_points": [ + 542.27, + 599.19, + 566.09, + 607.21 + ] + } + ] + }, + { + "text": "Control N ¼ 837 111 (13.3) 1.0 + 1.1 0.80–1.23", + "bbox_points": [ + 182.89, + 609.4, + 503.71, + 617.69 + ], + "words": [ + { + "text": "Control", + "bbox_points": [ + 182.89, + 609.68, + 210.26, + 617.69 + ] + }, + { + "text": "N", + "bbox_points": [ + 212.65, + 609.58, + 219.07, + 617.58 + ] + }, + { + "text": "¼", + "bbox_points": [ + 220.59, + 609.4, + 226.75, + 617.4 + ] + }, + { + "text": "837", + "bbox_points": [ + 228.36, + 609.68, + 241.61, + 617.69 + ] + }, + { + "text": "111", + "bbox_points": [ + 303.7, + 609.68, + 316.95, + 617.69 + ] + }, + { + "text": "(13.3)", + "bbox_points": [ + 319.35, + 609.68, + 340.09, + 617.69 + ] + }, + { + "text": "1.0", + "bbox_points": [ + 385.96, + 609.68, + 396.8, + 617.69 + ] + }, + { + "text": "+", + "bbox_points": [ + 399.91, + 609.4, + 407.91, + 617.4 + ] + }, + { + "text": "1.1", + "bbox_points": [ + 411.08, + 609.68, + 421.91, + 617.69 + ] + }, + { + "text": "0.80–1.23", + "bbox_points": [ + 469.25, + 609.4, + 503.71, + 617.69 + ] + } + ] + }, + { + "text": "Children 0–59 months Intervention N ¼ 357 177 (49.6) 1.4 + 1.5 1.14–1.69 0.001*", + "bbox_points": [ + 64.01, + 623.4, + 566.09, + 631.7 + ], + "words": [ + { + "text": "Children", + "bbox_points": [ + 64.01, + 623.68, + 95.43, + 631.7 + ] + }, + { + "text": "0–59", + "bbox_points": [ + 97.8, + 623.4, + 115.02, + 631.7 + ] + }, + { + "text": "months", + "bbox_points": [ + 117.41, + 623.68, + 144.38, + 631.7 + ] + }, + { + "text": "Intervention", + "bbox_points": [ + 182.89, + 623.68, + 227.46, + 631.7 + ] + }, + { + "text": "N", + "bbox_points": [ + 229.83, + 623.58, + 236.25, + 631.58 + ] + }, + { + "text": "¼", + "bbox_points": [ + 237.83, + 623.4, + 243.99, + 631.4 + ] + }, + { + "text": "357", + "bbox_points": [ + 245.54, + 623.68, + 258.79, + 631.7 + ] + }, + { + "text": "177", + "bbox_points": [ + 303.7, + 623.68, + 316.95, + 631.7 + ] + }, + { + "text": "(49.6)", + "bbox_points": [ + 319.35, + 623.68, + 340.09, + 631.7 + ] + }, + { + "text": "1.4", + "bbox_points": [ + 385.97, + 623.68, + 396.8, + 631.7 + ] + }, + { + "text": "+", + "bbox_points": [ + 399.91, + 623.4, + 407.91, + 631.4 + ] + }, + { + "text": "1.5", + "bbox_points": [ + 411.08, + 623.68, + 421.91, + 631.7 + ] + }, + { + "text": "1.14–1.69", + "bbox_points": [ + 469.25, + 623.4, + 503.71, + 631.7 + ] + }, + { + "text": "0.001*", + "bbox_points": [ + 542.27, + 623.68, + 566.09, + 631.7 + ] + } + ] + }, + { + "text": "Control N ¼ 411 62 (15.1) 0.6 + 0.7 0.43–0.71", + "bbox_points": [ + 182.89, + 633.89, + 503.72, + 642.18 + ], + "words": [ + { + "text": "Control", + "bbox_points": [ + 182.89, + 634.17, + 210.26, + 642.18 + ] + }, + { + "text": "N", + "bbox_points": [ + 212.66, + 634.07, + 219.07, + 642.07 + ] + }, + { + "text": "¼", + "bbox_points": [ + 220.59, + 633.89, + 226.75, + 641.89 + ] + }, + { + "text": "411", + "bbox_points": [ + 228.36, + 634.17, + 241.61, + 642.18 + ] + }, + { + "text": "62", + "bbox_points": [ + 303.7, + 634.17, + 312.54, + 642.18 + ] + }, + { + "text": "(15.1)", + "bbox_points": [ + 314.93, + 634.17, + 335.67, + 642.18 + ] + }, + { + "text": "0.6", + "bbox_points": [ + 385.97, + 634.17, + 396.8, + 642.18 + ] + }, + { + "text": "+", + "bbox_points": [ + 399.91, + 633.89, + 407.91, + 641.89 + ] + }, + { + "text": "0.7", + "bbox_points": [ + 411.08, + 634.17, + 421.91, + 642.18 + ] + }, + { + "text": "0.43–0.71", + "bbox_points": [ + 469.25, + 633.89, + 503.72, + 642.18 + ] + } + ] + }, + { + "text": "End of intervention (Week 24)", + "bbox_points": [ + 64.01, + 648.07, + 172.47, + 656.07 + ], + "words": [ + { + "text": "End", + "bbox_points": [ + 64.01, + 648.07, + 78.83, + 656.07 + ] + }, + { + "text": "of", + "bbox_points": [ + 81.19, + 648.07, + 88.1, + 656.07 + ] + }, + { + "text": "intervention", + "bbox_points": [ + 90.49, + 648.07, + 133.5, + 656.07 + ] + }, + { + "text": "(Week", + "bbox_points": [ + 135.84, + 648.07, + 158.5, + 656.07 + ] + }, + { + "text": "24)", + "bbox_points": [ + 160.9, + 648.07, + 172.47, + 656.07 + ] + } + ] + }, + { + "text": "General population Intervention N ¼ 1,166 40 (3.4) 0.32 + 0.81 0.18–0.46 0.001*", + "bbox_points": [ + 64.01, + 661.89, + 566.09, + 670.19 + ], + "words": [ + { + "text": "General", + "bbox_points": [ + 64.01, + 662.17, + 92.95, + 670.19 + ] + }, + { + "text": "population", + "bbox_points": [ + 95.3, + 662.17, + 134.13, + 670.19 + ] + }, + { + "text": "Intervention", + "bbox_points": [ + 182.89, + 662.17, + 227.46, + 670.19 + ] + }, + { + "text": "N", + "bbox_points": [ + 229.84, + 662.07, + 236.25, + 670.07 + ] + }, + { + "text": "¼", + "bbox_points": [ + 237.83, + 661.89, + 243.99, + 669.89 + ] + }, + { + "text": "1,166", + "bbox_points": [ + 245.54, + 662.17, + 265.2, + 670.19 + ] + }, + { + "text": "40", + "bbox_points": [ + 303.71, + 662.17, + 312.54, + 670.19 + ] + }, + { + "text": "(3.4)", + "bbox_points": [ + 314.93, + 662.17, + 331.25, + 670.19 + ] + }, + { + "text": "0.32", + "bbox_points": [ + 385.97, + 662.17, + 401.21, + 670.19 + ] + }, + { + "text": "+", + "bbox_points": [ + 404.34, + 661.89, + 412.34, + 669.89 + ] + }, + { + "text": "0.81", + "bbox_points": [ + 415.45, + 662.17, + 430.7, + 670.19 + ] + }, + { + "text": "0.18–0.46", + "bbox_points": [ + 469.25, + 661.89, + 503.72, + 670.19 + ] + }, + { + "text": "0.001*", + "bbox_points": [ + 542.27, + 662.17, + 566.09, + 670.19 + ] + } + ] + }, + { + "text": "Control N ¼ 837 265 (31.7) 2.43 + 1.67 2.11–2.75", + "bbox_points": [ + 182.89, + 672.38, + 503.72, + 680.68 + ], + "words": [ + { + "text": "Control", + "bbox_points": [ + 182.89, + 672.66, + 210.26, + 680.68 + ] + }, + { + "text": "N", + "bbox_points": [ + 212.66, + 672.56, + 219.07, + 680.56 + ] + }, + { + "text": "¼", + "bbox_points": [ + 220.59, + 672.38, + 226.75, + 680.38 + ] + }, + { + "text": "837", + "bbox_points": [ + 228.36, + 672.66, + 241.61, + 680.68 + ] + }, + { + "text": "265", + "bbox_points": [ + 303.71, + 672.66, + 316.95, + 680.68 + ] + }, + { + "text": "(31.7)", + "bbox_points": [ + 319.35, + 672.66, + 340.09, + 680.68 + ] + }, + { + "text": "2.43", + "bbox_points": [ + 385.97, + 672.66, + 401.22, + 680.68 + ] + }, + { + "text": "+", + "bbox_points": [ + 404.34, + 672.38, + 412.34, + 680.38 + ] + }, + { + "text": "1.67", + "bbox_points": [ + 415.45, + 672.66, + 430.7, + 680.68 + ] + }, + { + "text": "2.11–2.75", + "bbox_points": [ + 469.25, + 672.38, + 503.72, + 680.68 + ] + } + ] + }, + { + "text": "Children 0–59 months Intervention N ¼ 357 32 (9.0) 0.26 + 0.67 0.14–0.37 0.001*", + "bbox_points": [ + 64.01, + 686.39, + 566.09, + 694.68 + ], + "words": [ + { + "text": "Children", + "bbox_points": [ + 64.01, + 686.67, + 95.43, + 694.68 + ] + }, + { + "text": "0–59", + "bbox_points": [ + 97.8, + 686.39, + 115.02, + 694.68 + ] + }, + { + "text": "months", + "bbox_points": [ + 117.42, + 686.67, + 144.38, + 694.68 + ] + }, + { + "text": "Intervention", + "bbox_points": [ + 182.9, + 686.67, + 227.46, + 694.68 + ] + }, + { + "text": "N", + "bbox_points": [ + 229.84, + 686.56, + 236.25, + 694.56 + ] + }, + { + "text": "¼", + "bbox_points": [ + 237.83, + 686.39, + 243.99, + 694.39 + ] + }, + { + "text": "357", + "bbox_points": [ + 245.54, + 686.67, + 258.79, + 694.68 + ] + }, + { + "text": "32", + "bbox_points": [ + 303.71, + 686.67, + 312.54, + 694.68 + ] + }, + { + "text": "(9.0)", + "bbox_points": [ + 314.93, + 686.67, + 331.25, + 694.68 + ] + }, + { + "text": "0.26", + "bbox_points": [ + 385.97, + 686.67, + 401.22, + 694.68 + ] + }, + { + "text": "+", + "bbox_points": [ + 404.34, + 686.39, + 412.34, + 694.39 + ] + }, + { + "text": "0.67", + "bbox_points": [ + 415.45, + 686.67, + 430.7, + 694.68 + ] + }, + { + "text": "0.14–0.37", + "bbox_points": [ + 469.25, + 686.39, + 503.72, + 694.68 + ] + }, + { + "text": "0.001*", + "bbox_points": [ + 542.27, + 686.67, + 566.09, + 694.68 + ] + } + ] + }, + { + "text": "Control N ¼ 411 129 (31.4) 1.18 + 1.02 0.99–1.38", + "bbox_points": [ + 182.9, + 696.87, + 503.72, + 705.17 + ], + "words": [ + { + "text": "Control", + "bbox_points": [ + 182.9, + 697.15, + 210.27, + 705.17 + ] + }, + { + "text": "N", + "bbox_points": [ + 212.66, + 697.05, + 219.07, + 705.05 + ] + }, + { + "text": "¼", + "bbox_points": [ + 220.6, + 696.87, + 226.76, + 704.87 + ] + }, + { + "text": "411", + "bbox_points": [ + 228.36, + 697.15, + 241.61, + 705.17 + ] + }, + { + "text": "129", + "bbox_points": [ + 303.71, + 697.15, + 316.96, + 705.17 + ] + }, + { + "text": "(31.4)", + "bbox_points": [ + 319.35, + 697.15, + 340.09, + 705.17 + ] + }, + { + "text": "1.18", + "bbox_points": [ + 385.97, + 697.15, + 401.22, + 705.17 + ] + }, + { + "text": "+", + "bbox_points": [ + 404.34, + 696.87, + 412.34, + 704.87 + ] + }, + { + "text": "1.02", + "bbox_points": [ + 415.45, + 697.15, + 430.7, + 705.17 + ] + }, + { + "text": "0.99–1.38", + "bbox_points": [ + 469.25, + 696.87, + 503.72, + 705.17 + ] + } + ] + }, + { + "text": "*Student’s t test", + "bbox_points": [ + 64.01, + 713.5, + 109.07, + 719.54 + ], + "words": [ + { + "text": "*Student’s", + "bbox_points": [ + 64.01, + 713.5, + 92.85, + 719.54 + ] + }, + { + "text": "t", + "bbox_points": [ + 94.79, + 713.5, + 96.85, + 719.5 + ] + }, + { + "text": "test", + "bbox_points": [ + 98.76, + 713.54, + 109.07, + 719.54 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Media/2025/Eug\303\250ne et al. - 2025 - Effectiveness of home water treatment for the control of diarrhea in children under five years an i/table_02.txt" "b/Media/2025/Eug\303\250ne et al. - 2025 - Effectiveness of home water treatment for the control of diarrhea in children under five years an i/table_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..d61d6e326561c388c4d278cb1ddfc5a57f58de4a --- /dev/null +++ "b/Media/2025/Eug\303\250ne et al. - 2025 - 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al. - 2025 - Effectiveness of home water treatment for the control of diarrhea in children under five years an i/table_03.json" "b/Media/2025/Eug\303\250ne et al. - 2025 - Effectiveness of home water treatment for the control of diarrhea in children under five years an i/table_03.json" new file mode 100644 index 0000000000000000000000000000000000000000..5923cf5b879052c90a195711544f53d4908ede8b --- /dev/null +++ "b/Media/2025/Eug\303\250ne et al. - 2025 - Effectiveness of home water treatment for the control of diarrhea in children under five years an i/table_03.json" @@ -0,0 +1,549 @@ +{ + "kind": "table", + "label": "table_03", + "number": 3, + "caption": "Cumulative frequency of diarrhea during the study period", + "page": 8, + "table_bbox_points": [ + 40.43, + 85.16, + 548.44, + 203.01 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 289.65, + 85.16 + ], + "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": "Village category Average DS 95% CI p-value", + "bbox_points": [ + 43.43, + 99.68, + 544.07, + 105.72 + ], + "words": [ + { + "text": "Village", + "bbox_points": [ + 43.43, + 99.72, + 64.35, + 105.72 + ] + }, + { + "text": "category", + "bbox_points": [ + 66.39, + 99.72, + 93.45, + 105.72 + ] + }, + { + "text": "Average", + "bbox_points": [ + 180.74, + 99.72, + 205.98, + 105.72 + ] + }, + { + "text": "DS", + "bbox_points": [ + 293.21, + 99.72, + 301.58, + 105.72 + ] + }, + { + "text": "95%", + "bbox_points": [ + 395.71, + 99.72, + 407.77, + 105.72 + ] + }, + { + "text": "CI", + "bbox_points": [ + 409.77, + 99.72, + 415.95, + 105.72 + ] + }, + { + "text": "p-value", + "bbox_points": [ + 521.69, + 99.68, + 544.07, + 105.72 + ] + } + ] + }, + { + "text": "Number of cases of diarrhea in the total household population", + "bbox_points": [ + 43.43, + 114.76, + 267.76, 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characterization of drinking water and socio-environmental study in the peri-urban a/table_02.txt @@ -0,0 +1 @@ +Risk factors associated with bacteriological analysis in water diff --git a/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_01.jpg b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5f0c3869778294539a03074f035edd19ecf73afa --- /dev/null +++ b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9cbf43aa3f164333c4adf636c77dcec397f506284e856d347777be115880ed9d +size 62584 diff --git a/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_01.txt b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8b34744a9d21e75426a9da6c67739befbe527b9 --- /dev/null +++ b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_01.txt @@ -0,0 +1 @@ +Inactivation and injury rates of E. coli under the action of different concentrations of EGCG. diff --git a/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_02.jpg b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fbef3090626649c734336d68dec946531ec4a017 --- /dev/null +++ b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b0e98f99c077133745158607cc30791b01b634deb54839057de6649a588529a1 +size 159423 diff --git a/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_02.txt b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..c15d2bab4666365dfd7dc52a507ad228077a7116 --- /dev/null +++ b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_02.txt @@ -0,0 +1 @@ +Transmission electron microscopy of the morphology of E. coli cells. diff --git a/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_03.jpg b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..df39653a2e45385d5b3cca075d2e0fc5d90835e2 --- /dev/null +++ b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:91d6c4bc005bfdf8924658c5e187ba2b2b88ec3557f8f3300e103a289c82608c +size 73340 diff --git a/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_03.txt b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..554745af0942166bcd4e9cd8c1ad60724c161669 --- /dev/null +++ b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_03.txt @@ -0,0 +1 @@ +Antioxidant indicators in E. coli under high injury rate conditions. diff --git a/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_04.jpg b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f476176529ebff3a1cae7d1a2d0dfb16e354dc07 --- /dev/null +++ b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0984669121e4c93b69b2fd77739ab113febb826b11c0079b63f4154b0e7627e7 +size 64660 diff --git a/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_04.txt b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..af8d5ac383a425325e2ad4fd95cb544c77bfb172 --- /dev/null +++ b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_04.txt @@ -0,0 +1 @@ +Scatter plot of gene expression difference: (a) differential expression of genes in E. coli cells with (a) YP 1 g/L compared to YP 0, (b) YP 50 mg/L compared to YP 0, and (c) YP 1 g/L compared to YP 50 mg/L. diff --git a/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_05.jpg b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..562436aaa1bf99db0c6ae5a07425836106d54a62 --- /dev/null +++ b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:44e562c924808c4655f5d6a6f026776993112d22112aa356188defee11103858 +size 90691 diff --git a/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria after disinfection with epigallocatechin gallate (EGCG) as a/figure_05.txt b/Media/2025/Feng et al. - 2025 - Formation mechanism of injured bacteria 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UV) with purpose of reclaiming wastewater for agricultural irrigation. diff --git a/Media/2025/Freier et al. - 2025 - Bacterial community dynamics during reclaimed water storage/figure_02.jpg b/Media/2025/Freier et al. - 2025 - Bacterial community dynamics during reclaimed water storage/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e3b2d001aba86a9a7d39fc152bfbd5a989378641 --- /dev/null +++ b/Media/2025/Freier et al. - 2025 - Bacterial community dynamics during reclaimed water storage/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:af3999b5b72b3c20bdd69c48ca652a3929dd7bd0560e5746394b9ceeaa0e5cca +size 74864 diff --git a/Media/2025/Freier et al. - 2025 - Bacterial community dynamics during reclaimed water storage/figure_02.txt b/Media/2025/Freier et al. - 2025 - Bacterial community dynamics during reclaimed water storage/figure_02.txt new file mode 100644 index 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and UV) in genomic units (GU)/100 mL determined with qPCR. diff --git a/Media/2025/Freier et al. - 2025 - Bacterial community dynamics during reclaimed water storage/figure_04.jpg b/Media/2025/Freier et al. - 2025 - Bacterial community dynamics during reclaimed water storage/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8b3f1b88a95692e3cd9412f555ec0f85d365d753 --- /dev/null +++ b/Media/2025/Freier et al. - 2025 - Bacterial community dynamics during reclaimed water storage/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4fb06b3169ab88c85a6453ba52ea7b2894c86c61638708e3ec4411746c343360 +size 128739 diff --git a/Media/2025/Freier et al. - 2025 - Bacterial community dynamics during reclaimed water storage/figure_04.txt b/Media/2025/Freier et al. - 2025 - Bacterial community dynamics during reclaimed water storage/figure_04.txt new file mode 100644 index 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0000000000000000000000000000000000000000..ccdbb57b6854770a8d54c915aa0277f96db27428 --- /dev/null +++ b/Media/2025/Gao and Li - 2025 - Research on electronic information transmission of agricultural irrigation based on Internet of Thin/table_01.txt @@ -0,0 +1 @@ +Research findings under different case studies diff --git a/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_01.jpg b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0bc6be93e0f0a910d77e47cd549220adc858e2c4 --- /dev/null +++ b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d9ceedbeca41fcb5675c39b18b6c5c9522a1dd560e8a425dc52cde4135867d9b +size 83549 diff --git a/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_01.txt b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..846ab6252a17b1c3aa7a47efaefee0867a9e2f61 --- /dev/null +++ b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_01.txt @@ -0,0 +1 @@ +Map showing the study area, Harari Regional State, Ethiopia. Global positioning system (GPS) points of all surveyed households and water sources are shown in green and red, respectively. diff --git a/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_02.jpg b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f0dd599e73d662a4a8bb555a399aab6f1c3f63a3 --- /dev/null +++ b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:598f627d01399f2aace9c11a8e17c81cedc2d455c5ba521f7ff7c5c734ffc784 +size 39214 diff --git a/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_02.txt b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..60b943dfa5ecd89683010f40f62e0320936bc930 --- /dev/null +++ b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_02.txt @@ -0,0 +1 @@ +Respondents’ reasons for not adopting any HWT methods. diff --git a/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_03.jpg b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..16b38ad3d1233b170658ea3e833e4dbee2fd85d4 --- /dev/null +++ b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5931d955612da73107d67c45792f77913a975f2c53a4451f398794994e263ab7 +size 100364 diff --git a/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_03.txt b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..f771691b828b7ce43c144ddeaf07823d54c91bb6 --- /dev/null +++ b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_03.txt @@ -0,0 +1 @@ +Covariate balance graph showing the standardized percentage bias for each covariate before and after matching. diff --git a/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_04.jpg b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2ccb5fe749aa83e833561d2baa7ff2d23cc18b7b --- /dev/null +++ b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:115a86b846a7b09cd7e3be94bbddf2560bee8cbf237000504abc72588fee0af5 +size 47367 diff --git a/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_04.txt b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..14b52ed2f07d475a109a9128995ed01a01dece14 --- /dev/null +++ b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/figure_04.txt @@ -0,0 +1 @@ +Mirror histogram showing common support regions for treated and control groups using kernel matching (y-axis represents the density and x-axis the propensity scores). diff --git a/Media/2025/Girma et al. - 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2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/table_02.txt b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..51ac54d5166c8ec44ae311e82b4d30c415df3e0e --- /dev/null +++ b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/table_02.txt @@ -0,0 +1 @@ +Socioeconomic and demographic attributes of the study respondents and households (n ¼ 521) diff --git a/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/table_03.jpg b/Media/2025/Girma et al. - 2025 - Using propensity score matching to evaluate the impact of household water treatment on childhood dia/table_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8fc4f5c30429148e243aab7efbd04c5ca209e850 --- /dev/null +++ b/Media/2025/Girma et al. - 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"and", + "bbox_points": [ + 328.08, + 142.87, + 341.56, + 150.88 + ] + }, + { + "text": "write", + "bbox_points": [ + 343.95, + 142.87, + 362.35, + 150.88 + ] + }, + { + "text": "(no", + "bbox_points": [ + 364.7, + 142.87, + 376.77, + 150.88 + ] + }, + { + "text": "formal", + "bbox_points": [ + 379.16, + 142.87, + 402.88, + 150.88 + ] + }, + { + "text": "education)", + "bbox_points": [ + 405.24, + 142.87, + 443.3, + 150.88 + ] + }, + { + "text": "0.09", + "bbox_points": [ + 477.81, + 142.87, + 493.05, + 150.88 + ] + }, + { + "text": "0.30", + "bbox_points": [ + 517.55, + 142.87, + 532.8, + 150.88 + ] + } + ] + }, + { + "text": "Attended primary and secondary school 0.05 0.14", + "bbox_points": [ + 307.56, + 153.36, + 532.8, + 161.37 + ], + "words": [ + { + "text": "Attended", + "bbox_points": [ + 307.56, + 153.36, + 340.61, + 161.37 + ] + }, + { + "text": "primary", + "bbox_points": [ + 342.93, + 153.36, + 371.32, + 161.37 + ] + }, + { + "text": "and", + "bbox_points": [ + 373.49, + 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"bbox_points": [ + 517.55, + 163.9, + 532.8, + 171.92 + ] + } + ] + }, + { + "text": "Occupation (Ref. ¼ Farmer) Government employee 0.27 0.66", + "bbox_points": [ + 43.43, + 177.62, + 532.8, + 185.92 + ], + "words": [ + { + "text": "Occupation", + "bbox_points": [ + 43.43, + 177.9, + 85.49, + 185.92 + ] + }, + { + "text": "(Ref.", + "bbox_points": [ + 87.87, + 177.9, + 104.53, + 185.92 + ] + }, + { + "text": "¼", + "bbox_points": [ + 106.07, + 177.62, + 112.23, + 185.62 + ] + }, + { + "text": "Farmer)", + "bbox_points": [ + 113.78, + 177.9, + 142.6, + 185.92 + ] + }, + { + "text": "Government", + "bbox_points": [ + 307.56, + 177.9, + 352.82, + 185.92 + ] + }, + { + "text": "employee", + "bbox_points": [ + 355.24, + 177.9, + 389.48, + 185.92 + ] + }, + { + "text": "0.27", + "bbox_points": [ + 471.68, + 177.9, + 486.93, + 185.92 + ] + }, + { + "text": "0.66", + "bbox_points": [ + 517.55, + 177.9, + 532.8, + 185.92 + ] + } + ] + }, + { + "text": "Merchant 0.26 0.25", + "bbox_points": [ + 307.56, + 188.39, + 532.8, + 196.41 + ], + "words": [ + { + "text": "Merchant", + "bbox_points": [ + 307.56, + 188.39, + 342.52, + 196.41 + ] + }, + { + "text": "0.26", + "bbox_points": [ + 471.68, + 188.39, + 486.93, + 196.41 + ] + }, + { + "text": "0.25", + "bbox_points": [ + 517.55, + 188.39, + 532.8, + 196.41 + ] + } + ] + }, + { + "text": "Housewife 0.35 0.14**", + "bbox_points": [ + 307.56, + 198.88, + 541.12, + 206.9 + ], + "words": [ + { + "text": "Housewife", + "bbox_points": [ + 307.56, + 198.88, + 345.95, + 206.9 + ] + }, + { + "text": "0.35", + "bbox_points": [ + 471.68, + 198.88, + 486.93, + 206.9 + ] + }, + { + "text": "0.14**", + "bbox_points": [ + 517.55, + 198.88, + 541.12, + 206.9 + ] + } + ] + }, + { + "text": "Family size 0.01 0.03", + "bbox_points": [ + 43.43, + 212.88, + 532.8, + 220.9 + ], + "words": [ + { + "text": "Family", + "bbox_points": [ + 43.43, + 212.88, + 67.83, + 220.9 + ] + }, + { + "text": "size", + "bbox_points": [ + 70.02, + 212.88, + 83.67, + 220.9 + ] + }, + { + "text": "0.01", + "bbox_points": [ + 471.68, + 212.88, + 486.93, + 220.9 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 517.55, + 212.88, + 532.8, + 220.9 + ] + } + ] + }, + { + "text": "Household wealth index (Ref. ¼ Poor) Middle 0.26 0.16", + "bbox_points": [ + 43.43, + 226.61, + 532.8, + 234.9 + ], + "words": [ + { + "text": "Household", + "bbox_points": [ + 43.43, + 226.89, + 83.13, + 234.9 + ] + }, + { + "text": "wealth", + "bbox_points": [ + 85.49, + 226.89, + 109.42, + 234.9 + ] + }, + { + "text": "index", + "bbox_points": [ + 111.8, + 226.89, + 131.44, + 234.9 + ] + }, + { + "text": "(Ref.", + "bbox_points": [ + 133.8, + 226.89, + 150.46, + 234.9 + ] + }, + { + "text": "¼", + "bbox_points": [ + 151.99, + 226.61, + 158.15, + 234.61 + ] + }, + { + "text": "Poor)", + "bbox_points": [ + 159.7, + 226.89, + 179.58, + 234.9 + ] + }, + { + "text": "Middle", + "bbox_points": [ + 307.56, + 226.89, + 333.11, + 234.9 + ] + }, + { + "text": "0.26", + "bbox_points": [ + 477.81, + 226.89, + 493.05, + 234.9 + ] + }, + { + "text": "0.16", + "bbox_points": [ + 517.55, + 226.89, + 532.8, + 234.9 + ] + } + ] + }, + { + "text": "Rich 0.13 0.19", + "bbox_points": [ + 307.56, + 237.37, + 532.8, + 245.39 + ], + "words": [ + { + "text": "Rich", + "bbox_points": [ + 307.56, + 237.37, + 324.21, + 245.39 + ] + }, + { + "text": "0.13", + "bbox_points": [ + 477.81, + 237.37, + 493.05, + 245.39 + ] + }, + { + "text": "0.19", + "bbox_points": [ + 517.55, + 237.37, + 532.8, + 245.39 + ] + } + ] + }, + { + "text": "Household incomea 0.002 0.001**", + "bbox_points": [ + 43.43, + 249.85, + 545.53, + 259.4 + ], + "words": [ + { + "text": "Household", + "bbox_points": [ + 43.43, + 251.38, + 83.13, + 259.39 + ] + }, + { + "text": "incomea", + "bbox_points": [ + 85.49, + 249.85, + 115.2, + 259.39 + ] + }, + { + "text": "0.002", + "bbox_points": [ + 471.68, + 251.38, + 491.35, + 259.4 + ] + }, + { + "text": "0.001**", + "bbox_points": [ + 517.55, + 251.38, + 545.53, + 259.4 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273.4 + ] + }, + { + "text": "WHO", + "bbox_points": [ + 307.56, + 265.38, + 329.63, + 273.4 + ] + }, + { + "text": "conformity", + "bbox_points": [ + 331.99, + 265.38, + 371.37, + 273.4 + ] + }, + { + "text": "0.27", + "bbox_points": [ + 477.81, + 265.38, + 493.06, + 273.4 + ] + }, + { + "text": "0.28", + "bbox_points": [ + 517.55, + 265.38, + 532.8, + 273.4 + ] + } + ] + }, + { + "text": "Low-risk 0.64 0.20***", + "bbox_points": [ + 307.56, + 275.87, + 545.28, + 283.89 + ], + "words": [ + { + "text": "Low-risk", + "bbox_points": [ + 307.56, + 275.87, + 339.11, + 283.89 + ] + }, + { + "text": "0.64", + "bbox_points": [ + 477.81, + 275.87, + 493.06, + 283.89 + ] + }, + { + "text": "0.20***", + "bbox_points": [ + 517.55, + 275.87, + 545.28, + 283.89 + ] + } + ] + }, + { + "text": "Intermediate-risk 0.24 0.18*", + "bbox_points": [ + 307.56, + 286.36, + 536.96, + 294.37 + ], + "words": [ + { + "text": "Intermediate-risk", + "bbox_points": [ + 307.56, + 286.36, + 369.07, + 294.37 + ] + }, + { + "text": "0.24", + "bbox_points": [ + 477.81, + 286.36, + 493.06, + 294.37 + ] + }, + { + "text": "0.18*", + "bbox_points": [ + 517.55, + 286.36, + 536.96, + 294.37 + ] + } + ] + }, + { + "text": "Time spent to fetch water (roundtrip) 0.11 0.13", + "bbox_points": [ + 43.43, + 300.36, + 532.8, + 308.38 + ], + "words": [ + { + "text": "Time", + "bbox_points": [ + 43.43, + 300.36, + 61.76, + 308.38 + ] + }, + { + "text": "spent", + "bbox_points": [ + 64.12, + 300.36, + 83.34, + 308.38 + ] + }, + { + "text": "to", + "bbox_points": [ + 85.72, + 300.36, + 92.87, + 308.38 + ] + }, + { + "text": "fetch", + "bbox_points": [ + 95.25, + 300.36, + 113.06, + 308.38 + ] + }, + { + "text": "water", + "bbox_points": [ + 115.43, + 300.36, + 135.31, + 308.38 + ] + }, + { + "text": "(roundtrip)", + "bbox_points": [ + 137.71, + 300.36, + 177.29, + 308.38 + ] + }, + { + "text": "0.11", + "bbox_points": [ + 471.68, + 300.36, + 486.93, + 308.38 + ] + }, + { + "text": "0.13", + "bbox_points": [ + 517.55, 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}, + { + "text": "Attend WASH training (Ref. ¼ No) Yes 0.23 0.13*", + "bbox_points": [ + 43.43, + 328.09, + 536.96, + 336.38 + ], + "words": [ + { + "text": "Attend", + "bbox_points": [ + 43.43, + 328.37, + 67.9, + 336.38 + ] + }, + { + "text": "WASH", + "bbox_points": [ + 70.3, + 328.37, + 95.64, + 336.38 + ] + }, + { + "text": "training", + "bbox_points": [ + 98.02, + 328.37, + 125.88, + 336.38 + ] + }, + { + "text": "(Ref.", + "bbox_points": [ + 128.24, + 328.37, + 144.9, + 336.38 + ] + }, + { + "text": "¼", + "bbox_points": [ + 146.44, + 328.09, + 152.6, + 336.09 + ] + }, + { + "text": "No)", + "bbox_points": [ + 154.15, + 328.37, + 168.21, + 336.38 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 307.56, + 328.37, + 320.44, + 336.38 + ] + }, + { + "text": "0.23", + "bbox_points": [ + 471.68, + 328.37, + 486.93, + 336.38 + ] + }, + { + "text": "0.13*", + "bbox_points": [ + 517.55, + 328.37, + 536.96, + 336.38 + ] + } + ] + }, + { + "text": "Hand hygiene practice (Ref. ¼ No) Yes 0.32 0.13**", + "bbox_points": [ + 43.43, + 342.09, + 541.12, + 350.39 + ], + "words": [ + { + "text": "Hand", + "bbox_points": [ + 43.43, + 342.37, + 63.91, + 350.39 + ] + }, + { + "text": "hygiene", + "bbox_points": [ + 66.28, + 342.37, + 94.09, + 350.39 + ] + }, + { + "text": "practice", + "bbox_points": [ + 96.44, + 342.37, + 124.91, + 350.39 + ] + }, + { + "text": "(Ref.", + "bbox_points": [ + 127.22, + 342.37, + 143.88, + 350.39 + ] + }, + { + "text": "¼", + "bbox_points": [ + 145.42, + 342.09, + 151.58, + 350.09 + ] + }, + { + "text": "No)", + "bbox_points": [ + 153.19, + 342.37, + 167.25, + 350.39 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 307.56, + 342.37, + 320.44, + 350.39 + ] + }, + { + "text": "0.32", + "bbox_points": [ + 471.68, + 342.37, + 486.93, + 350.39 + ] + }, + { + "text": "0.13**", + "bbox_points": [ + 517.55, + 342.37, + 541.12, + 350.39 + ] + } + ] + }, + { + "text": "Type of toilet facility (Ref. ¼ unimproved) Improved 0.28 0.13**", + "bbox_points": [ + 43.43, + 356.09, + 541.12, + 364.39 + ], + "words": [ + { + "text": "Type", + "bbox_points": [ + 43.43, + 356.37, + 60.82, + 364.39 + ] + }, + { + "text": "of", + "bbox_points": [ + 63.21, + 356.37, + 70.29, + 364.39 + ] + }, + { + "text": "toilet", + "bbox_points": [ + 72.68, + 356.37, + 91.07, + 364.39 + ] + }, + { + "text": "facility", + "bbox_points": [ + 93.43, + 356.37, + 117.45, + 364.39 + ] + }, + { + "text": "(Ref.", + "bbox_points": [ + 119.85, + 356.37, + 136.45, + 364.39 + ] + }, + { + "text": "¼", + "bbox_points": [ + 138.05, + 356.09, + 144.21, + 364.09 + ] + }, + { + "text": "unimproved)", + "bbox_points": [ + 145.76, + 356.37, + 191.66, + 364.39 + ] + }, + { + "text": "Improved", + "bbox_points": [ + 307.56, + 356.37, + 342.22, + 364.39 + ] + }, + { + "text": "0.28", + "bbox_points": [ + 471.69, + 356.37, + 486.93, + 364.39 + ] + }, + { + "text": "0.13**", + "bbox_points": [ + 517.55, + 356.37, + 541.12, + 364.39 + ] + } + ] + }, + { + "text": "Number of observations 521", + "bbox_points": [ + 43.43, + 370.38, + 484.93, + 378.39 + ], + "words": [ + { + "text": "Number", + "bbox_points": [ + 43.43, + 370.38, + 73.33, + 378.39 + ] + }, + { + "text": "of", + "bbox_points": [ + 75.52, + 370.38, + 82.59, + 378.39 + ] + }, + { + "text": "observations", + "bbox_points": [ + 84.99, + 370.38, + 130.09, + 378.39 + ] + }, + { + "text": "521", + "bbox_points": [ + 471.69, + 370.38, + 484.93, + 378.39 + ] + } + ] + }, + { + "text": "Log likelihood 298.3", + "bbox_points": [ + 43.43, + 384.38, + 497.47, + 392.39 + ], + "words": [ + { + "text": "Log", + "bbox_points": [ + 43.43, + 384.38, + 57.33, + 392.39 + ] + }, + { + "text": "likelihood", + "bbox_points": [ + 59.7, + 384.38, + 95.9, + 392.39 + ] + }, + { + "text": "298.3", + "bbox_points": [ + 477.81, + 384.38, + 497.47, + 392.39 + ] + } + ] + }, + { + "text": "Pseudo R2 0.079", + "bbox_points": [ + 43.43, + 396.85, + 491.35, + 406.4 + ], + "words": [ + { + "text": "Pseudo", + "bbox_points": [ + 43.43, + 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sha256:91148f6e897073d29d3d86dfcd364b2109c535b3800c4f26b54627d256c3c7fb +size 62179 diff --git a/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/figure_01.txt b/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..e851023ecd6071913afd1511ecff89c3b92f1afd --- /dev/null +++ b/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/figure_01.txt @@ -0,0 +1 @@ +Conceptual diagram showing the inputs to the interdisciplinary assessment (gray) and achieved outputs (green). diff --git a/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/figure_02.jpg b/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..87cd61bf253891f2d0a8fb7078bf7de61dbe7688 --- /dev/null +++ b/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:db724c373b10a25c750453d09f474953f8abb2debb9c4ac6ef8f6dbdaebb27e7 +size 70957 diff --git a/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/figure_02.txt b/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf94af05bf54cb44a20a1e9df77ae38f1ee9bf2d --- /dev/null +++ b/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/figure_02.txt @@ -0,0 +1 @@ +Typical water-reuse scheme with relevant treatment processes, media and related pathways that have been investigated, indi- cated with green arrows for microbiological and orange arrows for chemical transfer. The sampling points for monitoring are indicated by 1–7 in red boxes. 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diff --git a/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/table_03.txt b/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..935ce36568360cd07ca30789aa9b652950d463f0 --- /dev/null +++ b/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/table_03.txt @@ -0,0 +1 @@ +Microbiological parameters and estimated related costs for one season with 20 weeks of irrigation diff --git a/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/table_04.jpg b/Media/2025/Hasselder et al. - 2025 - Complexity and challenges in agricultural water reuse monitoring from a German perspective/table_04.jpg new file mode 100644 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+ 561.76, + 714.18 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Hassen et al. - 2025 - Hand hygiene compliance and its predictors among healthcare providers in primary healthcare settings/table_01.txt b/Media/2025/Hassen et al. - 2025 - Hand hygiene compliance and its predictors among healthcare providers in primary healthcare settings/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..f448c383d26608980642a94872d6b3a2f482b2e8 --- /dev/null +++ b/Media/2025/Hassen et al. - 2025 - Hand hygiene compliance and its predictors among healthcare providers in primary healthcare settings/table_01.txt @@ -0,0 +1 @@ +Socio-demographic characteristics of healthcare providers working in public healthcare settings in the Girawa District, Eastern diff --git a/Media/2025/Hassen et al. - 2025 - Hand hygiene compliance and its predictors among healthcare providers in primary healthcare settings/table_02.jpg b/Media/2025/Hassen et al. - 2025 - 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b/Media/2025/Hassen et al. - 2025 - Hand hygiene compliance and its predictors among healthcare providers in primary healthcare settings/table_02.json @@ -0,0 +1,1679 @@ +{ + "kind": "table", + "label": "table_02", + "number": 2, + "caption": "Organizational factors of healthcare providers working in public healthcare settings in the Girawa District, Eastern Ethiopia, 2024", + "page": 6, + "table_bbox_points": [ + 40.43, + 85.16, + 548.44, + 398.48 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 545.53, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 24, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "(n ¼ 398)", + "bbox_points": [ + 80.73, + 87.09, + 112.18, + 95.14 + ], + "words": [ + { + "text": "(n", + "bbox_points": [ + 80.73, + 87.09, + 87.46, + 95.14 + ] + }, + { + "text": "¼", + "bbox_points": [ + 89.06, + 87.09, + 95.22, + 95.09 + ] + }, + { + "text": "398)", + "bbox_points": [ + 96.77, + 87.14, + 112.18, + 95.14 + ] + } + ] + }, + { + "text": "Variables Category Frequency Percent", + "bbox_points": [ + 43.43, + 109.76, + 545.43, + 115.76 + ], + "words": [ + { + "text": "Variables", + "bbox_points": [ + 43.43, + 109.76, + 72.28, + 115.76 + ] + }, + { + "text": "Category", + "bbox_points": [ + 346.0, + 109.76, + 373.92, + 115.76 + ] + }, + { + "text": "Frequency", + "bbox_points": [ + 431.43, + 109.76, + 463.97, + 115.76 + ] + }, + { + "text": "Percent", + "bbox_points": [ + 521.52, + 109.76, + 545.43, + 115.76 + ] + } + ] + }, + { + "text": "Formal in-service training related to hand hygiene in the last 3 years Yes 180 45.23", + "bbox_points": [ + 43.43, + 124.9, + 541.18, + 132.91 + ], + "words": [ + { + "text": "Formal", + "bbox_points": [ + 43.43, + 124.9, + 69.24, + 132.91 + ] + }, + { + "text": "in-service", + "bbox_points": [ + 71.6, + 124.9, + 105.65, + 132.91 + ] + }, + { + "text": "training", + 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444.68, + 132.91 + ] + }, + { + "text": "45.23", + "bbox_points": [ + 521.52, + 124.9, + 541.18, + 132.91 + ] + } + ] + }, + { + "text": "No 218 54.77", + "bbox_points": [ + 346.0, + 135.39, + 541.18, + 143.4 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 346.0, + 135.39, + 357.32, + 143.4 + ] + }, + { + "text": "218", + "bbox_points": [ + 431.43, + 135.39, + 444.68, + 143.4 + ] + }, + { + "text": "54.77", + "bbox_points": [ + 521.52, + 135.39, + 541.18, + 143.4 + ] + } + ] + }, + { + "text": "Absence of handwashing setup at working room Yes 250 62.81", + "bbox_points": [ + 43.43, + 149.39, + 541.18, + 157.4 + ], + "words": [ + { + "text": "Absence", + "bbox_points": [ + 43.43, + 149.39, + 73.91, + 157.4 + ] + }, + { + "text": "of", + "bbox_points": [ + 76.25, + 149.39, + 83.32, + 157.4 + ] + }, + { + "text": "handwashing", + "bbox_points": [ + 85.72, + 149.39, + 133.34, + 157.4 + ] + }, + { + "text": "setup", + "bbox_points": [ + 135.72, + 149.39, + 154.78, + 157.4 + ] + }, + { + "text": "at", + "bbox_points": [ + 157.15, + 149.39, + 163.7, + 157.4 + ] + }, + { + "text": "working", + "bbox_points": [ + 166.11, + 149.39, + 195.82, + 157.4 + ] + }, + { + "text": "room", + "bbox_points": [ + 198.14, + 149.39, + 217.3, + 157.4 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 346.0, + 149.39, + 358.88, + 157.4 + ] + }, + { + "text": "250", + "bbox_points": [ + 431.43, + 149.39, + 444.68, + 157.4 + ] + }, + { + "text": "62.81", + "bbox_points": [ + 521.52, + 149.39, + 541.18, + 157.4 + ] + } + ] + }, + { + "text": "No 148 37.19", + "bbox_points": [ + 346.0, + 159.88, + 541.18, + 167.89 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 346.0, + 159.88, + 357.32, + 167.89 + ] + }, + { + "text": "148", + "bbox_points": [ + 431.43, + 159.88, + 444.68, + 167.89 + ] + }, + { + "text": "37.19", + "bbox_points": [ + 521.52, + 159.88, + 541.18, + 167.89 + ] + } + ] + }, + { + "text": "Water availability in working room/unit Yes 177 44.47", + "bbox_points": [ + 43.43, + 173.88, + 541.18, + 181.9 + ], + "words": [ + { + "text": "Water", + "bbox_points": [ + 43.43, + 173.88, + 65.24, + 181.9 + ] + }, + { + "text": "availability", + "bbox_points": [ + 67.46, + 173.88, + 106.55, + 181.9 + ] + }, + { + "text": "in", + "bbox_points": [ + 108.91, + 173.88, + 115.98, + 181.9 + ] + }, + { + "text": "working", + "bbox_points": [ + 118.38, + 173.88, + 148.0, + 181.9 + ] + }, + { + "text": "room/unit", + "bbox_points": [ + 150.41, + 173.88, + 187.28, + 181.9 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 346.0, + 173.88, + 358.88, + 181.9 + ] + }, + { + "text": "177", + "bbox_points": [ + 431.43, + 173.88, + 444.68, + 181.9 + ] + }, + { + "text": "44.47", + "bbox_points": [ + 521.52, + 173.88, + 541.18, + 181.9 + ] + } + ] + }, + { + "text": "No 221 55.53", + "bbox_points": [ + 346.0, + 184.37, + 541.18, + 192.38 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 346.0, + 184.37, + 357.32, + 192.38 + ] + }, + { + "text": "221", + "bbox_points": [ + 431.43, + 184.37, + 444.68, + 192.38 + ] + }, + { + "text": "55.53", + "bbox_points": [ + 521.52, + 184.37, + 541.18, + 192.38 + ] + } + ] + }, + { + "text": "Soap availability in working room Yes 155 38.94", + "bbox_points": [ + 43.43, + 198.37, + 541.18, + 206.39 + ], + "words": [ + { + "text": "Soap", + "bbox_points": [ + 43.43, + 198.37, + 61.48, + 206.39 + ] + }, + { + "text": "availability", + "bbox_points": [ + 63.89, + 198.37, + 102.97, + 206.39 + ] + }, + { + "text": "in", + "bbox_points": [ + 105.34, + 198.37, + 112.41, + 206.39 + ] + }, + { + "text": "working", + "bbox_points": [ + 114.8, + 198.37, + 144.43, + 206.39 + ] + }, + { + "text": "room", + "bbox_points": [ + 146.84, + 198.37, + 165.99, + 206.39 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 346.0, + 198.37, + 358.88, + 206.39 + ] + }, + { + "text": "155", + "bbox_points": [ + 431.43, + 198.37, + 444.68, + 206.39 + ] + }, + { + "text": "38.94", + "bbox_points": [ + 521.52, + 198.37, + 541.18, + 206.39 + ] + } + ] + }, + { + "text": "No 243 61.06", + "bbox_points": [ + 346.0, + 208.86, + 541.18, + 216.87 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 346.0, + 208.86, + 357.32, + 216.87 + ] + }, + { + "text": "243", + "bbox_points": [ + 431.43, + 208.86, + 444.68, + 216.87 + ] + }, + { + "text": "61.06", + "bbox_points": [ + 521.52, + 208.86, + 541.18, + 216.87 + ] + } + ] + }, + { + "text": "Presence of running/piped water in working facilities Yes 312 78.40", + "bbox_points": [ + 43.43, + 222.86, + 541.18, + 230.88 + ], + "words": [ + { + "text": "Presence", + "bbox_points": [ + 43.43, + 222.86, + 75.49, + 230.88 + ] + }, + { + "text": "of", + "bbox_points": [ + 77.84, + 222.86, + 84.91, + 230.88 + ] + }, + { + "text": "running/piped", + "bbox_points": [ + 87.31, + 222.86, + 139.14, + 230.88 + ] + }, + { + "text": "water", + "bbox_points": [ + 141.51, + 222.86, + 161.39, + 230.88 + ] + }, + { + "text": "in", + "bbox_points": [ + 163.79, + 222.86, + 170.86, + 230.88 + ] + }, + { + "text": "working", + "bbox_points": [ + 173.25, + 222.86, + 202.97, + 230.88 + ] + }, + { + "text": "facilities", + "bbox_points": [ + 205.29, + 222.86, + 235.02, + 230.88 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 346.0, + 222.86, + 358.88, + 230.88 + ] + }, + { + "text": "312", + "bbox_points": [ + 431.43, + 222.86, + 444.68, + 230.88 + ] + }, + { + "text": "78.40", + "bbox_points": [ + 521.52, + 222.86, + 541.18, + 230.88 + ] + } + ] + }, + { + "text": "No 86 21.61", + "bbox_points": [ + 346.0, + 233.41, + 541.18, + 241.42 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 346.0, + 233.41, + 357.32, + 241.42 + ] + }, + { + "text": "86", + "bbox_points": [ + 431.43, + 233.41, + 440.26, + 241.42 + ] + }, + { + "text": "21.61", + "bbox_points": [ + 521.52, + 233.41, + 541.18, + 241.42 + ] + } + ] + }, + { + "text": "Presence of towels in your handwashing setup/facility Yes 145 36.43", + "bbox_points": [ + 43.43, + 247.35, + 541.18, + 255.37 + ], + "words": [ + { + "text": "Presence", + "bbox_points": [ + 43.43, + 247.35, + 75.49, + 255.37 + ] + }, + { + "text": "of", + "bbox_points": [ + 77.84, + 247.35, + 84.91, + 255.37 + ] + }, + { + "text": "towels", + "bbox_points": [ + 87.31, + 247.35, + 110.06, + 255.37 + ] + }, + { + "text": "in", + "bbox_points": [ + 112.48, + 247.35, + 119.55, + 255.37 + ] + }, + { + "text": "your", + "bbox_points": [ + 121.89, + 247.35, + 138.06, + 255.37 + ] + }, + { + "text": "handwashing", + "bbox_points": [ + 140.43, + 247.35, + 188.05, + 255.37 + ] + }, + { + "text": "setup/facility", + "bbox_points": [ + 190.43, + 247.35, + 237.08, + 255.37 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 346.0, + 247.35, + 358.88, + 255.37 + ] + }, + { + "text": "145", + "bbox_points": [ + 431.43, + 247.35, + 444.68, + 255.37 + ] + }, + { + "text": "36.43", + "bbox_points": [ + 521.52, + 247.35, + 541.18, + 255.37 + ] + } + ] + }, + { + "text": "No 253 63.57", + "bbox_points": [ + 346.0, + 257.9, + 541.18, + 265.91 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 346.0, + 257.9, + 357.32, + 265.91 + ] + }, + { + "text": "253", + "bbox_points": [ + 431.43, + 257.9, + 444.68, + 265.91 + ] + }, + { + "text": "63.57", + "bbox_points": [ + 521.52, + 257.9, + 541.18, + 265.91 + ] + } + ] + }, + { + "text": "Presence of WHO WASH guideline in the organization Yes 161 40.45", + "bbox_points": [ + 43.43, + 271.9, + 541.18, + 279.92 + ], + "words": [ + { + "text": "Presence", + "bbox_points": [ + 43.43, + 271.9, + 75.49, + 279.92 + ] + }, + { + "text": "of", + "bbox_points": [ + 77.84, + 271.9, + 84.91, + 279.92 + ] + }, + { + "text": "WHO", + "bbox_points": [ + 87.31, + 271.9, + 109.38, + 279.92 + ] + }, + { + "text": "WASH", + "bbox_points": [ + 111.51, + 271.9, + 136.91, + 279.92 + ] + }, + { + "text": "guideline", + "bbox_points": [ + 139.29, + 271.9, + 172.09, + 279.92 + ] + }, + { + "text": "in", + "bbox_points": [ + 174.5, + 271.9, + 181.57, + 279.92 + ] + }, + { + "text": "the", + "bbox_points": [ + 183.97, + 271.9, + 195.29, + 279.92 + ] + }, + { + "text": "organization", + "bbox_points": [ + 197.63, + 271.9, + 242.75, + 279.92 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 346.0, + 271.9, + 358.88, + 279.92 + ] + }, + { + "text": "161", + "bbox_points": [ + 431.43, + 271.9, + 444.68, + 279.92 + ] + }, + { + "text": "40.45", + "bbox_points": [ + 521.52, + 271.9, + 541.18, + 279.92 + ] + } + ] + }, + { + "text": "No 237 59.55", + "bbox_points": [ + 346.0, + 282.39, + 541.18, + 290.4 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 346.0, + 282.39, + 357.32, + 290.4 + ] + }, + { + "text": "237", + "bbox_points": [ + 431.43, + 282.39, + 444.68, + 290.4 + ] + }, + { + "text": "59.55", + "bbox_points": [ + 521.52, + 282.39, + 541.18, + 290.4 + ] + } + ] + }, + { + "text": "Presence of toilet near to working area in the organization Yes 164 41.21", + "bbox_points": [ + 43.43, + 296.39, + 541.18, + 304.41 + ], + "words": [ + { + "text": "Presence", + "bbox_points": [ + 43.43, + 296.39, + 75.49, + 304.41 + ] + }, + { + "text": "of", + "bbox_points": [ + 77.84, + 296.39, + 84.91, + 304.41 + ] + }, + { + "text": "toilet", + "bbox_points": [ + 87.31, + 296.39, + 105.69, + 304.41 + ] + }, + { + "text": "near", + "bbox_points": [ + 108.06, + 296.39, + 124.12, + 304.41 + ] + }, + { + "text": "to", + "bbox_points": [ + 126.48, + 296.39, + 133.63, + 304.41 + ] + }, + { + "text": "working", + "bbox_points": [ + 135.84, + 296.39, + 165.55, + 304.41 + ] + }, + { + "text": "area", + "bbox_points": [ + 167.92, + 296.39, + 183.23, + 304.41 + ] + }, + { + "text": "in", + "bbox_points": [ + 185.61, + 296.39, + 192.68, + 304.41 + ] + }, + { + "text": "the", + "bbox_points": [ + 195.08, + 296.39, + 206.4, + 304.41 + ] + }, + { + "text": "organization", + "bbox_points": [ + 208.74, + 296.39, + 253.86, + 304.41 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 346.0, + 296.39, + 358.88, + 304.41 + ] + }, + { + "text": "164", + "bbox_points": [ + 431.43, + 296.39, + 444.68, + 304.41 + ] + }, + { + "text": "41.21", + "bbox_points": [ + 521.52, + 296.39, + 541.18, + 304.41 + ] + } + ] + }, + { + "text": "No 234 58.79", + "bbox_points": [ + 346.0, + 306.88, + 541.18, + 314.89 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 346.0, + 306.88, + 357.32, + 314.89 + ] + }, + { + "text": "234", + "bbox_points": [ + 431.43, + 306.88, + 444.68, + 314.89 + ] + }, + { + "text": "58.79", + "bbox_points": [ + 521.52, + 306.88, + 541.18, + 314.89 + ] + } + ] + }, + { + "text": "Does the toilet have handwashing setup/facility Yes 124 75.61", + "bbox_points": [ + 43.43, + 320.88, + 541.18, + 328.9 + ], + "words": [ + { + "text": "Does", + "bbox_points": [ + 43.43, + 320.88, + 61.91, + 328.9 + ] + }, + { + "text": "the", + "bbox_points": [ + 64.12, + 320.88, + 75.44, + 328.9 + ] + }, + { + "text": "toilet", + "bbox_points": [ + 77.84, + 320.88, + 96.22, + 328.9 + ] + }, + { + "text": "have", + "bbox_points": [ + 98.59, + 320.88, + 115.29, + 328.9 + ] + }, + { + "text": "handwashing", + "bbox_points": [ + 117.69, + 320.88, + 165.32, + 328.9 + ] + }, + { + "text": "setup/facility", + "bbox_points": [ + 167.7, + 320.88, + 214.34, + 328.9 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 346.0, + 320.88, + 358.88, + 328.9 + ] + }, + { + "text": "124", + "bbox_points": [ + 431.43, + 320.88, + 444.68, + 328.9 + ] + }, + { + "text": "75.61", + "bbox_points": [ + 521.52, + 320.88, + 541.18, + 328.9 + ] + } + ] + }, + { + "text": "No 40 24.39", + "bbox_points": [ + 346.0, + 331.37, + 541.18, + 339.39 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 346.0, + 331.37, + 357.32, + 339.39 + ] + }, + { + "text": "40", + "bbox_points": [ + 431.43, + 331.37, + 440.26, + 339.39 + ] + }, + { + "text": "24.39", + "bbox_points": [ + 521.52, + 331.37, + 541.18, + 339.39 + ] + } + ] + }, + { + "text": "Availability of IPC guideline in the organization Yes 151 37.94", + "bbox_points": [ + 43.43, + 345.37, + 541.18, + 353.39 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+ 363.88 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 346.0, + 355.86, + 357.32, + 363.88 + ] + }, + { + "text": "247", + "bbox_points": [ + 431.43, + 355.86, + 444.68, + 363.88 + ] + }, + { + "text": "62.06", + "bbox_points": [ + 521.52, + 355.86, + 541.18, + 363.88 + ] + } + ] + }, + { + "text": "Presence of IPC committee in the facility Yes 146 36.68", + "bbox_points": [ + 43.43, + 369.86, + 541.18, + 377.88 + ], + "words": [ + { + "text": "Presence", + "bbox_points": [ + 43.43, + 369.86, + 75.49, + 377.88 + ] + }, + { + "text": "of", + "bbox_points": [ + 77.84, + 369.86, + 84.91, + 377.88 + ] + }, + { + "text": "IPC", + "bbox_points": [ + 87.31, + 369.86, + 101.21, + 377.88 + ] + }, + { + "text": "committee", + "bbox_points": [ + 103.58, + 369.86, + 141.54, + 377.88 + ] + }, + { + "text": "in", + "bbox_points": [ + 143.94, + 369.86, + 151.02, + 377.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 153.41, + 369.86, + 164.73, + 377.88 + ] + }, + { + "text": "facility", + "bbox_points": [ + 167.07, + 369.86, + 191.15, + 377.88 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 346.0, + 369.86, + 358.88, + 377.88 + ] + }, + { + "text": "146", + "bbox_points": [ + 431.43, + 369.86, + 444.68, + 377.88 + ] + }, + { + "text": "36.68", + "bbox_points": [ + 521.52, + 369.86, + 541.18, + 377.88 + ] + } + ] + }, + { + "text": "No 252 63.32", + "bbox_points": [ + 346.0, + 380.35, + 541.18, + 388.37 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 346.0, + 380.35, + 357.32, + 388.37 + ] + }, + { + "text": "252", + "bbox_points": [ + 431.43, + 380.35, + 444.68, + 388.37 + ] + }, + { + "text": "63.32", + "bbox_points": [ + 521.52, + 380.35, + 541.18, + 388.37 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Hassen et al. - 2025 - Hand hygiene compliance and its predictors among healthcare providers in primary healthcare settings/table_02.txt b/Media/2025/Hassen et al. - 2025 - Hand hygiene compliance and its 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providers working in public healthcare settings in the Girawa District,", + "page": 6, + "table_bbox_points": [ + 40.43, + 454.46, + 548.44, + 724.3 + ], + "caption_bbox_points": [ + 43.43, + 446.23, + 545.47, + 454.46 + ], + "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": "Eastern Ethiopia (n ¼ 398)", + "bbox_points": [ + 79.82, + 456.38, + 172.5, + 464.44 + ], + "words": [ + { + "text": "Eastern", + "bbox_points": [ + 79.82, + 456.44, + 106.83, + 464.44 + ] + }, + { + "text": "Ethiopia", + "bbox_points": [ + 109.47, + 456.44, + 138.43, + 464.44 + ] + }, + { + "text": "(n", + "bbox_points": [ + 141.05, + 456.38, + 147.78, + 464.44 + ] + }, + { + "text": "¼", + "bbox_points": [ + 149.38, + 456.38, + 155.54, + 464.38 + ] + }, + { + "text": "398)", + "bbox_points": [ + 157.09, + 456.44, + 172.5, + 464.44 + ] + } + ] + }, + { + "text": "Strongly Not Strongly", + "bbox_points": [ + 300.36, + 479.06, + 526.66, + 485.06 + ], + "words": [ + { + "text": "Strongly", + "bbox_points": [ + 300.36, + 479.06, + 326.46, + 485.06 + ] + }, + { + "text": "Not", + "bbox_points": [ + 408.98, + 479.06, + 420.22, + 485.06 + ] + }, + { + "text": "Strongly", + "bbox_points": [ + 500.66, + 479.06, + 526.66, + 485.06 + ] + } + ] + }, + { + "text": "Questions agree Agree decided Disagree disagree", + "bbox_points": [ + 43.43, + 488.01, + 527.33, + 494.01 + ], + "words": [ + { + "text": "Questions", + "bbox_points": [ + 43.43, + 488.01, + 74.52, + 494.01 + ] + }, + { + "text": "agree", + "bbox_points": [ + 300.36, + 488.01, + 317.86, + 494.01 + ] + }, + { + "text": "Agree", + "bbox_points": [ + 354.73, + 488.01, + 373.1, + 494.01 + ] + }, + { + "text": "decided", + "bbox_points": [ + 408.98, + 488.01, + 433.78, + 494.01 + ] + }, + { + "text": "Disagree", + "bbox_points": [ + 455.19, + 488.01, + 482.37, + 494.01 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+ }, + { + "text": "be", + "bbox_points": [ + 202.62, + 503.15, + 211.04, + 511.17 + ] + }, + { + "text": "a", + "bbox_points": [ + 213.39, + 503.15, + 217.55, + 511.17 + ] + }, + { + "text": "vehicle", + "bbox_points": [ + 219.8, + 503.15, + 245.17, + 511.17 + ] + }, + { + "text": "for", + "bbox_points": [ + 247.52, + 503.15, + 257.75, + 511.17 + ] + }, + { + "text": "the", + "bbox_points": [ + 260.16, + 503.15, + 271.48, + 511.17 + ] + }, + { + "text": "167(41.96%)", + "bbox_points": [ + 300.36, + 503.15, + 345.65, + 511.17 + ] + }, + { + "text": "216(54.27%)", + "bbox_points": [ + 354.73, + 503.15, + 400.02, + 511.17 + ] + }, + { + "text": "9", + "bbox_points": [ + 408.98, + 503.15, + 413.4, + 511.17 + ] + }, + { + "text": "6", + "bbox_points": [ + 455.19, + 503.15, + 459.6, + 511.17 + ] + }, + { + "text": "0", + "bbox_points": [ + 500.65, + 503.15, + 505.07, + 511.17 + ] + } + ] + }, + { + "text": "transmission of HCAIs to patients?", + "bbox_points": [ + 51.48, + 513.7, + 178.11, 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+ 505.07, + 549.72 + ], + "words": [ + { + "text": "Do", + "bbox_points": [ + 43.43, + 541.7, + 54.58, + 549.72 + ] + }, + { + "text": "you", + "bbox_points": [ + 56.98, + 541.7, + 69.93, + 549.72 + ] + }, + { + "text": "think", + "bbox_points": [ + 72.34, + 541.7, + 91.31, + 549.72 + ] + }, + { + "text": "that", + "bbox_points": [ + 93.66, + 541.7, + 107.57, + 549.72 + ] + }, + { + "text": "hand", + "bbox_points": [ + 109.93, + 541.7, + 128.15, + 549.72 + ] + }, + { + "text": "rubbing", + "bbox_points": [ + 130.56, + 541.7, + 158.2, + 549.72 + ] + }, + { + "text": "is", + "bbox_points": [ + 160.5, + 541.7, + 166.15, + 549.72 + ] + }, + { + "text": "more", + "bbox_points": [ + 168.55, + 541.7, + 187.12, + 549.72 + ] + }, + { + "text": "rapid", + "bbox_points": [ + 189.52, + 541.7, + 208.11, + 549.72 + ] + }, + { + "text": "for", + "bbox_points": [ + 210.5, + 541.7, + 220.73, + 549.72 + ] + }, + { + "text": "hand", + "bbox_points": [ + 223.14, + 541.7, + 241.37, + 549.72 + ] + }, + { + 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"bbox_points": [ + 354.73, + 566.19, + 400.02, + 574.21 + ] + }, + { + "text": "19(4.77%)", + "bbox_points": [ + 408.98, + 566.19, + 445.55, + 574.21 + ] + }, + { + "text": "13(3.27%)", + "bbox_points": [ + 455.19, + 566.19, + 491.75, + 574.21 + ] + }, + { + "text": "5", + "bbox_points": [ + 500.65, + 566.19, + 505.07, + 574.21 + ] + } + ] + }, + { + "text": "Hand rubbing causes less skin dryness than handwashing 108(27.14%) 237(59.55%) 33(8.29%) 11(2.76%) 9(2.26%)", + "bbox_points": [ + 43.43, + 580.2, + 532.81, + 588.21 + ], + "words": [ + { + "text": "Hand", + "bbox_points": [ + 43.43, + 580.2, + 63.91, + 588.21 + ] + }, + { + "text": "rubbing", + "bbox_points": [ + 66.27, + 580.2, + 93.91, + 588.21 + ] + }, + { + "text": "causes", + "bbox_points": [ + 96.26, + 580.2, + 119.66, + 588.21 + ] + }, + { + "text": "less", + "bbox_points": [ + 122.0, + 580.2, + 134.99, + 588.21 + ] + }, + { + "text": "skin", + "bbox_points": [ + 137.37, + 580.2, + 152.34, + 588.21 + ] + }, + { + "text": 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degree 35(41%) 51(59%) 1.95(1.18–3.23) 0.009 1.81(1.05–3.10) 0.032a", + "bbox_points": [ + 195.42, + 157.89, + 545.44, + 167.38 + ], + "words": [ + { + "text": "BSc", + "bbox_points": [ + 195.42, + 159.37, + 209.74, + 167.38 + ] + }, + { + "text": "degree", + "bbox_points": [ + 212.09, + 159.37, + 235.62, + 167.38 + ] + }, + { + "text": "35(41%)", + "bbox_points": [ + 257.16, + 159.37, + 287.31, + 167.38 + ] + }, + { + "text": "51(59%)", + "bbox_points": [ + 299.45, + 159.37, + 329.6, + 167.38 + ] + }, + { + "text": "1.95(1.18–3.23)", + "bbox_points": [ + 346.11, + 159.09, + 401.24, + 167.38 + ] + }, + { + "text": "0.009", + "bbox_points": [ + 416.52, + 159.37, + 436.19, + 167.38 + ] + }, + { + "text": "1.81(1.05–3.10)", + "bbox_points": [ + 451.05, + 159.09, + 506.17, + 167.38 + ] + }, + { + "text": "0.032a", + "bbox_points": [ + 522.71, + 157.89, + 545.44, + 167.38 + ] + } + ] + }, + { + "text": "Diploma 77(26%) 219(74%) 1 1", + "bbox_points": [ + 195.42, + 169.85, + 455.46, + 177.87 + ], + "words": [ + { + "text": "Diploma", + "bbox_points": [ + 195.42, + 169.85, + 226.96, + 177.87 + ] + }, + { + "text": "77(26%)", + "bbox_points": [ + 257.16, + 169.85, + 287.31, + 177.87 + ] + }, + { + "text": "219(74%)", + "bbox_points": [ + 299.45, + 169.85, + 333.91, + 177.87 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 169.85, + 350.53, + 177.87 + ] + }, + { + "text": "1", + "bbox_points": [ + 451.05, + 169.85, + 455.46, + 177.87 + ] + } + ] + }, + { + "text": "Sex Female 41(23%) 134(77%) 0.56(0.36–0.87) 0.010 1.080(0.64–1.84) 0.758", + "bbox_points": [ + 43.43, + 183.58, + 542.37, + 191.87 + ], + "words": [ + { + "text": "Sex", + "bbox_points": [ + 43.43, + 183.86, + 56.15, + 191.87 + ] + }, + { + "text": "Female", + "bbox_points": [ + 195.42, + 183.86, + 221.44, + 191.87 + ] + }, + { + "text": "41(23%)", + "bbox_points": [ + 257.16, + 183.86, + 287.31, + 191.87 + ] + }, + { + "text": "134(77%)", + "bbox_points": [ + 299.45, + 183.86, + 333.91, + 191.87 + ] + }, + { + "text": "0.56(0.36–0.87)", + "bbox_points": [ + 346.11, + 183.58, + 401.23, + 191.87 + ] + }, + { + "text": "0.010", + "bbox_points": [ + 416.52, + 183.86, + 436.19, + 191.87 + ] + }, + { + "text": "1.080(0.64–1.84)", + "bbox_points": [ + 451.05, + 183.58, + 510.59, + 191.87 + ] + }, + { + "text": "0.758", + "bbox_points": [ + 522.71, + 183.86, + 542.37, + 191.87 + ] + } + ] + }, + { + "text": "Male 79(35%) 144(65%) 1 1", + "bbox_points": [ + 195.42, + 194.4, + 455.46, + 202.42 + ], + "words": [ + { + "text": "Male", + "bbox_points": [ + 195.42, + 194.4, + 213.65, + 202.42 + ] + }, + { + "text": "79(35%)", + "bbox_points": [ + 257.16, + 194.4, + 287.31, + 202.42 + ] + }, + { + "text": "144(65%)", + "bbox_points": [ + 299.45, + 194.4, + 333.91, + 202.42 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 194.4, + 350.53, + 202.42 + ] + }, + { + "text": "1", + "bbox_points": [ + 451.05, + 194.4, + 455.46, + 202.42 + ] + } + ] + }, + { + "text": "Type of institutions Hospital 53(41%) 75(59%) 2.76(0.96–4.67) 0.346", + "bbox_points": [ + 43.43, + 208.13, + 436.19, + 216.42 + ], + "words": [ + { + "text": "Type", + "bbox_points": [ + 43.43, + 208.41, + 60.82, + 216.42 + ] + }, + { + "text": "of", + "bbox_points": [ + 63.21, + 208.41, + 70.29, + 216.42 + ] + }, + { + "text": "institutions", + "bbox_points": [ + 72.68, + 208.41, + 112.49, + 216.42 + ] + }, + { + "text": "Hospital", + "bbox_points": [ + 195.42, + 208.41, + 226.2, + 216.42 + ] + }, + { + "text": "53(41%)", + "bbox_points": [ + 257.16, + 208.41, + 287.31, + 216.42 + ] + }, + { + "text": "75(59%)", + "bbox_points": [ + 299.45, + 208.41, + 329.6, + 216.42 + ] + }, + { + "text": "2.76(0.96–4.67)", + "bbox_points": [ + 346.11, + 208.13, + 401.23, + 216.42 + ] + }, + { + "text": "0.346", + "bbox_points": [ + 416.52, + 208.41, + 436.19, + 216.42 + ] + } + ] + }, + { + "text": "Health center 36(31%) 82(69%) 1.71(0.98–2.98) 0.558", + "bbox_points": [ + 195.42, + 218.61, + 436.19, + 226.91 + ], + 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"bbox_points": [ + 299.45, + 229.38, + 333.91, + 237.4 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 229.38, + 350.53, + 237.4 + ] + } + ] + }, + { + "text": "Age in years 35 14(19%) 61(81%) 0.48(0.28–0.83)a 0.009 0.72(0.33–1.54) 0.397", + "bbox_points": [ + 43.43, + 241.85, + 542.37, + 251.4 + ], + "words": [ + { + "text": "Age", + "bbox_points": [ + 43.43, + 243.38, + 57.43, + 251.4 + ] + }, + { + "text": "in", + "bbox_points": [ + 59.81, + 243.38, + 66.88, + 251.4 + ] + }, + { + "text": "years", + "bbox_points": [ + 69.28, + 243.38, + 87.73, + 251.4 + ] + }, + { + "text": "35", + "bbox_points": [ + 201.54, + 243.38, + 210.38, + 251.4 + ] + }, + { + "text": "14(19%)", + "bbox_points": [ + 257.16, + 243.38, + 287.31, + 251.4 + ] + }, + { + "text": "61(81%)", + "bbox_points": [ + 299.45, + 243.38, + 329.6, + 251.4 + ] + }, + { + "text": "0.48(0.28–0.83)a", + "bbox_points": [ + 346.11, + 241.85, + 404.28, + 251.4 + ] + }, + { + "text": "0.009", + "bbox_points": [ + 416.52, 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}, + { + "text": "in", + "bbox_points": [ + 128.75, + 278.36, + 135.82, + 286.38 + ] + }, + { + "text": "years", + "bbox_points": [ + 138.22, + 278.36, + 156.67, + 286.38 + ] + }, + { + "text": "11–15", + "bbox_points": [ + 195.42, + 278.08, + 217.01, + 286.38 + ] + }, + { + "text": "12(19%)", + "bbox_points": [ + 257.16, + 278.36, + 287.31, + 286.38 + ] + }, + { + "text": "50(81%)", + "bbox_points": [ + 299.45, + 278.36, + 329.6, + 286.38 + ] + }, + { + "text": "0.42(0.26–0.71)a", + "bbox_points": [ + 346.11, + 276.89, + 404.28, + 286.38 + ] + }, + { + "text": "0.001", + "bbox_points": [ + 416.52, + 278.37, + 436.19, + 286.38 + ] + }, + { + "text": "0.57(0.24–1.36)", + "bbox_points": [ + 451.05, + 278.09, + 506.17, + 286.38 + ] + }, + { + "text": "0.205", + "bbox_points": [ + 522.71, + 278.37, + 542.37, + 286.38 + ] + } + ] + }, + { + "text": "6–10 28(21%) 103(79%) 0.37(0.19–0.75)a 0.005 0.52(0.29–1.04) 0.281", + "bbox_points": [ + 195.42, + 287.38, + 542.37, + 296.87 + ], + "words": [ + { + "text": "6–10", + "bbox_points": [ + 195.42, + 288.57, + 212.64, + 296.87 + ] + }, + { + "text": "28(21%)", + "bbox_points": [ + 257.16, + 288.85, + 287.31, + 296.87 + ] + }, + { + "text": "103(79%)", + "bbox_points": [ + 299.45, + 288.85, + 333.92, + 296.87 + ] + }, + { + "text": "0.37(0.19–0.75)a", + "bbox_points": [ + 346.11, + 287.38, + 404.28, + 296.87 + ] + }, + { + "text": "0.005", + "bbox_points": [ + 416.52, + 288.85, + 436.19, + 296.87 + ] + }, + { + "text": "0.52(0.29–1.04)", + "bbox_points": [ + 451.05, + 288.57, + 506.17, + 296.87 + ] + }, + { + "text": "0.281", + "bbox_points": [ + 522.71, + 288.85, + 542.37, + 296.87 + ] + } + ] + }, + { + "text": ",5 80(39%) 125(61%) 1 1", + "bbox_points": [ + 195.42, + 299.12, + 455.46, + 307.41 + ], + "words": [ + { + "text": ",5", + "bbox_points": [ + 195.42, + 299.12, + 206.47, + 307.41 + ] + }, + { + "text": "80(39%)", + "bbox_points": [ + 257.16, + 299.4, + 287.31, + 307.41 + ] + }, + { + "text": "125(61%)", + "bbox_points": [ + 299.45, + 299.4, + 333.91, + 307.41 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 299.4, + 350.53, + 307.41 + ] + }, + { + "text": "1", + "bbox_points": [ + 451.05, + 299.4, + 455.46, + 307.41 + ] + } + ] + }, + { + "text": "Marital status Married 68(27%) 180(73%) 0.62(0.45–1.02) 0.346", + "bbox_points": [ + 43.43, + 313.12, + 436.19, + 321.42 + ], + "words": [ + { + "text": "Marital", + "bbox_points": [ + 43.43, + 313.4, + 69.88, + 321.42 + ] + }, + { + "text": "status", + "bbox_points": [ + 72.28, + 313.4, + 92.46, + 321.42 + ] + }, + { + "text": "Married", + "bbox_points": [ + 195.42, + 313.4, + 224.55, + 321.42 + ] + }, + { + "text": "68(27%)", + "bbox_points": [ + 257.16, + 313.4, + 287.31, + 321.42 + ] + }, + { + "text": "180(73%)", + "bbox_points": [ + 299.45, + 313.4, + 333.92, + 321.42 + ] + }, + { + "text": "0.62(0.45–1.02)", + "bbox_points": [ + 346.11, + 313.12, + 401.24, + 321.42 + ] + }, + { + "text": "0.346", + "bbox_points": [ + 416.52, + 313.4, + 436.19, + 321.42 + ] + } + ] + }, + { + "text": "Divorced 3(15%) 17(85%) 0.31(0.08–1.05) 0.459", + "bbox_points": [ + 195.42, + 323.61, + 436.19, + 331.9 + ], + "words": [ + { + "text": "Divorced", + "bbox_points": [ + 195.42, + 323.89, + 228.41, + 331.9 + ] + }, + { + "text": "3(15%)", + "bbox_points": [ + 257.16, + 323.89, + 282.9, + 331.9 + ] + }, + { + "text": "17(85%)", + "bbox_points": [ + 299.45, + 323.89, + 329.6, + 331.9 + ] + }, + { + "text": "0.31(0.08–1.05)", + "bbox_points": [ + 346.11, + 323.61, + 401.24, + 331.9 + ] + }, + { + "text": "0.459", + "bbox_points": [ + 416.52, + 323.89, + 436.19, + 331.9 + ] + } + ] + }, + { + "text": "Single 49(38%) 81(62%) 1", + "bbox_points": [ + 195.42, + 334.38, + 350.53, + 342.39 + ], + "words": [ + { + "text": "Single", + "bbox_points": [ + 195.42, + 334.38, + 217.57, + 342.39 + ] + }, + { + "text": "49(38%)", + "bbox_points": [ + 257.16, + 334.38, + 287.31, + 342.39 + ] + }, + { + "text": "81(62%)", + "bbox_points": [ + 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"bbox_points": [ + 346.11, + 348.1, + 401.24, + 356.4 + ] + }, + { + "text": "0.009", + "bbox_points": [ + 416.52, + 348.38, + 436.19, + 356.4 + ] + }, + { + "text": "2.30(1.38–3.83)", + "bbox_points": [ + 451.05, + 348.1, + 506.18, + 356.4 + ] + }, + { + "text": "0.001a", + "bbox_points": [ + 522.71, + 346.85, + 545.44, + 356.4 + ] + } + ] + }, + { + "text": "No 33(22%) 115(78%) 1 1", + "bbox_points": [ + 195.42, + 358.87, + 455.46, + 366.88 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 195.42, + 358.87, + 206.74, + 366.88 + ] + }, + { + "text": "33(22%)", + "bbox_points": [ + 257.16, + 358.87, + 287.31, + 366.88 + ] + }, + { + "text": "115(78%)", + "bbox_points": [ + 299.45, + 358.87, + 333.91, + 366.88 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 358.87, + 350.53, + 366.88 + ] + }, + { + "text": "1", + "bbox_points": [ + 451.05, + 358.87, + 455.46, + 366.88 + ] + } + ] + }, + { + "text": "Trained on hand hygiene Yes 67(37%) 113(63%) 1.84(1.20–2.84) 0.005 2.25(1.40–3.62) 0.001a", + "bbox_points": [ + 43.43, + 371.34, + 545.44, + 380.89 + ], + "words": [ + { + "text": "Trained", + "bbox_points": [ + 43.43, + 372.87, + 71.06, + 380.89 + ] + }, + { + "text": "on", + "bbox_points": [ + 73.42, + 372.87, + 82.74, + 380.89 + ] + }, + { + "text": "hand", + "bbox_points": [ + 85.15, + 372.87, + 103.38, + 380.89 + ] + }, + { + "text": "hygiene", + "bbox_points": [ + 105.73, + 372.87, + 133.55, + 380.89 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 195.42, + 372.87, + 208.3, + 380.89 + ] + }, + { + "text": "67(37%)", + "bbox_points": [ + 257.16, + 372.87, + 287.31, + 380.89 + ] + }, + { + "text": "113(63%)", + "bbox_points": [ + 299.45, + 372.87, + 333.91, + 380.89 + ] + }, + { + "text": "1.84(1.20–2.84)", + "bbox_points": [ + 346.11, + 372.59, + 401.23, + 380.89 + ] + }, + { + "text": "0.005", + "bbox_points": [ + 416.52, + 372.87, + 436.19, + 380.89 + ] + }, + { + "text": "2.25(1.40–3.62)", + "bbox_points": [ + 451.05, + 372.59, + 506.17, + 380.89 + ] + }, + { + "text": "0.001a", + "bbox_points": [ + 522.71, + 371.34, + 545.44, + 380.89 + ] + } + ] + }, + { + "text": "No 53(24%) 165(76%) 1 1", + "bbox_points": [ + 195.42, + 383.36, + 455.46, + 391.38 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 195.42, + 383.36, + 206.74, + 391.38 + ] + }, + { + "text": "53(24%)", + "bbox_points": [ + 257.16, + 383.36, + 287.31, + 391.38 + ] + }, + { + "text": "165(76%)", + "bbox_points": [ + 299.45, + 383.36, + 333.91, + 391.38 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 383.36, + 350.53, + 391.38 + ] + }, + { + "text": "1", + "bbox_points": [ + 451.05, + 383.36, + 455.46, + 391.38 + ] + } + ] + }, + { + "text": "Water availability in working room Yes 59(33%) 118(67%) 1.31(0.85–2.02) 0.276", + "bbox_points": [ + 43.43, + 397.08, + 436.19, + 405.38 + ], + "words": [ + { + "text": "Water", + "bbox_points": [ + 43.43, + 397.36, + 65.24, + 405.38 + ] + }, + { + "text": "availability", + "bbox_points": [ + 67.47, + 397.36, + 106.55, + 405.38 + ] + }, + { + "text": "in", + "bbox_points": [ + 108.91, + 397.36, + 115.98, + 405.38 + ] + }, + { + "text": "working", + "bbox_points": [ + 118.38, + 397.36, + 148.0, + 405.38 + ] + }, + { + "text": "room", + "bbox_points": [ + 150.41, + 397.36, + 169.56, + 405.38 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 195.42, + 397.36, + 208.31, + 405.38 + ] + }, + { + "text": "59(33%)", + "bbox_points": [ + 257.16, + 397.36, + 287.31, + 405.38 + ] + }, + { + "text": "118(67%)", + "bbox_points": [ + 299.45, + 397.36, + 333.91, + 405.38 + ] + }, + { + "text": "1.31(0.85–2.02)", + "bbox_points": [ + 346.11, + 397.08, + 401.23, + 405.38 + ] + }, + { + "text": "0.276", + "bbox_points": [ + 416.52, + 397.36, + 436.19, + 405.38 + ] + } + ] + }, + { + "text": "No 61(28%) 160(72%) 1", + "bbox_points": [ + 195.42, + 407.91, + 350.53, + 415.92 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 195.42, + 407.91, + 206.74, + 415.92 + ] + }, + { + "text": "61(28%)", + "bbox_points": [ + 257.16, + 407.91, + 287.31, + 415.92 + ] + }, + { + "text": "160(72%)", + "bbox_points": [ + 299.45, + 407.91, + 333.91, + 415.92 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 407.91, + 350.53, + 415.92 + ] + } + ] + }, + { + "text": "Soap availability in working room Yes 55(35%) 100(65%) 1.51(0.98–2.33) 0.365", + "bbox_points": [ + 43.43, + 421.57, + 436.19, + 429.87 + ], + "words": [ + { + "text": "Soap", + "bbox_points": [ + 43.43, + 421.85, + 61.48, + 429.87 + ] + }, + { + "text": "availability", + "bbox_points": [ + 63.89, + 421.85, + 102.97, + 429.87 + ] + }, + { + "text": "in", + "bbox_points": [ + 105.34, + 421.85, + 112.41, + 429.87 + ] + }, + { + "text": "working", + "bbox_points": [ + 114.8, + 421.85, + 144.43, + 429.87 + ] + }, + { + "text": "room", + "bbox_points": [ + 146.84, + 421.85, + 165.99, + 429.87 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 195.42, + 421.85, + 208.31, + 429.87 + ] + }, + { + "text": "55(35%)", + "bbox_points": [ + 257.16, + 421.85, + 287.31, + 429.87 + ] + }, + { + "text": "100(65%)", + "bbox_points": [ + 299.45, + 421.85, + 333.91, + 429.87 + ] + }, + { + "text": "1.51(0.98–2.33)", + "bbox_points": [ + 346.11, + 421.57, + 401.23, + 429.87 + ] + }, + { + "text": "0.365", + "bbox_points": [ + 416.52, + 421.85, + 436.19, + 429.87 + ] + } + ] + }, + { + "text": "No 65(27%) 178(73%) 1", + "bbox_points": [ + 195.42, + 432.4, + 350.53, + 440.41 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 195.42, + 432.4, + 206.74, + 440.41 + ] + }, + { + "text": "65(27%)", + "bbox_points": [ + 257.16, + 432.4, + 287.31, + 440.41 + ] + }, + { + "text": "178(73%)", + "bbox_points": [ + 299.45, + 432.4, + 333.91, + 440.41 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 432.4, + 350.53, + 440.41 + ] + } + ] + }, + { + "text": "Presence of toilet near to working area Yes 53(32%) 111(68%) 1.19(0.77–1.83) 0.431", + "bbox_points": [ + 43.43, + 446.12, + 436.19, + 454.42 + ], + "words": [ + { + "text": "Presence", + "bbox_points": [ + 43.43, + 446.4, + 75.49, + 454.42 + ] + }, + { + "text": "of", + "bbox_points": [ + 77.84, + 446.4, + 84.91, + 454.42 + ] + }, + { + "text": "toilet", + "bbox_points": [ + 87.31, + 446.4, + 105.69, + 454.42 + ] + }, + { + "text": "near", + "bbox_points": [ + 108.06, + 446.4, + 124.12, + 454.42 + ] + }, + { + "text": "to", + "bbox_points": [ + 126.48, + 446.4, + 133.63, + 454.42 + ] + }, + { + "text": "working", + "bbox_points": [ + 135.84, + 446.4, + 165.55, + 454.42 + ] + }, + { + "text": "area", + "bbox_points": [ + 167.92, + 446.4, + 183.23, + 454.42 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 195.42, + 446.4, + 208.3, + 454.42 + ] + }, + { + "text": "53(32%)", + "bbox_points": [ + 257.16, + 446.4, + 287.31, + 454.42 + ] + }, + { + "text": "111(68%)", + "bbox_points": [ + 299.45, + 446.4, + 333.91, + 454.42 + ] + }, + { + "text": "1.19(0.77–1.83)", + "bbox_points": [ + 346.11, + 446.12, + 401.23, + 454.42 + ] + }, + { + "text": "0.431", + "bbox_points": [ + 416.52, + 446.4, + 436.19, + 454.42 + ] + } + ] + }, + { + "text": "No 67(29%) 167(71%) 1", + "bbox_points": [ + 195.42, + 456.89, + 350.53, + 464.91 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 195.42, + 456.89, + 206.74, + 464.91 + ] + }, + { + "text": "67(29%)", + "bbox_points": [ + 257.16, + 456.89, + 287.31, + 464.91 + ] + }, + { + "text": "167(71%)", + "bbox_points": [ + 299.45, + 456.89, + 333.91, + 464.91 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 456.89, + 350.53, + 464.91 + ] + } + ] + }, + { + "text": "Presence of IPC committee Yes 50(34%) 96(66%) 1.46(0.94–2.28) 0.489", + "bbox_points": [ + 43.43, + 470.61, + 436.19, + 478.91 + ], + "words": [ + { + "text": "Presence", + "bbox_points": [ + 43.43, + 470.89, + 75.49, + 478.91 + ] + }, + { + "text": "of", + "bbox_points": [ + 77.84, + 470.89, + 84.91, + 478.91 + ] + }, + { + "text": "IPC", + "bbox_points": [ + 87.31, + 470.89, + 101.21, + 478.91 + ] + }, + { + "text": "committee", + "bbox_points": [ + 103.58, + 470.89, + 141.54, + 478.91 + ] + }, + { + "text": "Yes", + "bbox_points": [ + 195.42, + 470.89, + 208.3, + 478.91 + ] + }, + { + "text": "50(34%)", + "bbox_points": [ + 257.16, + 470.89, + 287.31, + 478.91 + ] + }, + { + "text": "96(66%)", + "bbox_points": [ + 299.45, + 470.89, + 329.6, + 478.91 + ] + }, + { + "text": "1.46(0.94–2.28)", + "bbox_points": [ + 346.11, + 470.61, + 401.23, + 478.91 + ] + }, + { + "text": "0.489", + "bbox_points": [ + 416.52, + 470.89, + 436.19, + 478.91 + ] + } + ] + }, + { + "text": "No 66(26%) 186(74%) 1", + "bbox_points": [ + 195.42, + 481.38, + 350.53, + 489.4 + ], + "words": [ + { + "text": "No", + "bbox_points": [ + 195.42, + 481.38, + 206.74, + 489.4 + ] + }, + { + "text": "66(26%)", + "bbox_points": [ + 257.16, + 481.38, + 287.31, + 489.4 + ] + }, + { + "text": "186(74%)", + "bbox_points": [ + 299.45, + 481.38, + 333.91, + 489.4 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 481.38, + 350.53, + 489.4 + ] + } + ] + }, + { + "text": "Knowledge about handwashing Good 77(37%) 132(63%) 1.98(1.27–3.08) 0.002 1.83(1.14–2.94) 0.012a", + "bbox_points": [ + 43.43, + 493.85, + 545.44, + 503.4 + ], + "words": [ + { + "text": "Knowledge", + "bbox_points": [ + 43.43, + 495.38, + 83.8, + 503.4 + ] + }, + { + "text": "about", + "bbox_points": [ + 86.12, + 495.38, + 106.42, + 503.4 + ] + }, + { + "text": "handwashing", + "bbox_points": [ + 108.79, + 495.38, + 156.48, + 503.4 + ] + }, + { + "text": "Good", + "bbox_points": [ + 195.42, + 495.38, + 215.89, + 503.4 + ] + }, + { + "text": "77(37%)", + "bbox_points": [ + 257.16, + 495.38, + 287.31, + 503.4 + ] + }, + { + "text": "132(63%)", + "bbox_points": [ + 299.45, + 495.38, + 333.91, + 503.4 + ] + }, + { + "text": "1.98(1.27–3.08)", + "bbox_points": [ + 346.11, + 495.1, + 401.23, + 503.4 + ] + }, + { + "text": "0.002", + "bbox_points": [ + 416.52, + 495.38, + 436.19, + 503.4 + ] + }, + { + "text": "1.83(1.14–2.94)", + "bbox_points": [ + 451.05, + 495.1, + 506.17, + 503.4 + ] + }, + { + "text": "0.012a", + "bbox_points": [ + 522.71, + 493.85, + 545.44, + 503.4 + ] + } + ] + }, + { + "text": "Poor 43(23%) 146(77%) 1 1", + "bbox_points": [ + 195.42, + 505.87, + 455.46, + 513.89 + ], + "words": [ + { + "text": "Poor", + "bbox_points": [ + 195.42, + 505.87, + 212.55, + 513.89 + ] + }, + { + "text": "43(23%)", + "bbox_points": [ + 257.16, + 505.87, + 287.31, + 513.89 + ] + }, + { + "text": "146(77%)", + "bbox_points": [ + 299.45, + 505.87, + 333.91, + 513.89 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 505.87, + 350.53, + 513.89 + ] + }, + { + "text": "1", + "bbox_points": [ + 451.05, + 505.87, + 455.46, + 513.89 + ] + } + ] + }, + { + "text": "Attitude toward hand hygiene Positive 95(38%) 154(62%) 3.06(1.86–5.04) 0.000 3.52(2.07–5.98) 0.001a", + "bbox_points": [ + 43.43, + 518.35, + 545.44, + 527.89 + ], + "words": [ + { + "text": "Attitude", + "bbox_points": [ + 43.43, + 519.88, + 72.63, + 527.89 + ] + }, + { + "text": "toward", + "bbox_points": [ + 75.01, + 519.88, + 100.05, + 527.89 + ] + }, + { + "text": "hand", + "bbox_points": [ + 102.39, + 519.88, + 120.61, + 527.89 + ] + }, + { + "text": "hygiene", + "bbox_points": [ + 123.02, + 519.88, + 150.84, + 527.89 + ] + }, + { + "text": "Positive", + "bbox_points": [ + 195.42, + 519.88, + 223.35, + 527.89 + ] + }, + { + "text": "95(38%)", + "bbox_points": [ + 257.16, + 519.88, + 287.31, + 527.89 + ] + }, + { + "text": "154(62%)", + "bbox_points": [ + 299.45, + 519.88, + 333.91, + 527.89 + ] + }, + { + "text": "3.06(1.86–5.04)", + "bbox_points": [ + 346.11, + 519.6, + 401.23, + 527.89 + ] + }, + { + "text": "0.000", + "bbox_points": [ + 416.52, + 519.88, + 436.19, + 527.89 + ] + }, + { + "text": "3.52(2.07–5.98)", + "bbox_points": [ + 451.05, + 519.6, + 506.17, + 527.89 + ] + }, + { + "text": "0.001a", + "bbox_points": [ + 522.71, + 518.35, + 545.44, + 527.89 + ] + } + ] + }, + { + "text": "Negative 25(17%) 124(83%) 1 1", + "bbox_points": [ + 195.42, + 530.36, + 455.46, + 538.38 + ], + "words": [ + { + "text": "Negative", + "bbox_points": [ + 195.42, + 530.36, + 226.97, + 538.38 + ] + }, + { + "text": "25(17%)", + "bbox_points": [ + 257.16, + 530.36, + 287.31, + 538.38 + ] + }, + { + "text": "124(83%)", + "bbox_points": [ + 299.45, + 530.36, + 333.91, + 538.38 + ] + }, + { + "text": "1", + "bbox_points": [ + 346.11, + 530.36, + 350.53, + 538.38 + ] + }, + { + "text": "1", + "bbox_points": [ + 451.05, + 530.36, + 455.46, + 538.38 + ] + } + ] + }, + { + "text": "aThere is a significant association with the outcome", + "bbox_points": [ + 43.43, + 545.48, + 184.99, + 552.75 + ], + "words": [ + { + "text": "aThere", + "bbox_points": [ + 43.43, + 545.48, + 61.16, + 552.75 + ] + }, + { + "text": "is", + "bbox_points": [ + 63.1, + 546.75, + 67.41, + 552.75 + ] + }, + { + "text": "a", + "bbox_points": [ + 69.39, + 546.75, + 72.58, + 552.75 + ] + }, + { + "text": "significant", + "bbox_points": [ + 74.55, + 546.71, + 101.99, + 552.75 + ] + }, + { + "text": "association", + "bbox_points": [ + 103.97, + 546.75, + 134.38, + 552.75 + ] + }, + { + "text": "with", + "bbox_points": [ + 136.34, + 546.75, + 148.14, + 552.75 + ] + }, + { + "text": "the", + "bbox_points": [ + 150.12, + 546.75, + 158.92, + 552.75 + ] + }, + { + "text": "outcome", + "bbox_points": [ + 160.95, + 546.75, + 184.99, + 552.75 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Hassen et al. - 2025 - Hand hygiene compliance and its predictors among healthcare providers in primary healthcare settings/table_06.txt b/Media/2025/Hassen et al. - 2025 - Hand hygiene compliance and its predictors among healthcare providers in primary healthcare settings/table_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..e064f026787a518a6b5ae4778d8a64e195e3835c --- /dev/null +++ b/Media/2025/Hassen et al. - 2025 - Hand hygiene compliance and its predictors among healthcare providers in primary healthcare settings/table_06.txt @@ -0,0 +1 @@ +Bivariable and multivariable analysis of factors associated with hand hygiene compliance among healthcare providers working in diff --git a/Media/2025/Hegazy et al. - 2025 - Excess bio-sludge and contamination load minimisation A comparative study on conventional activated/figure_01.jpg b/Media/2025/Hegazy et al. - 2025 - Excess bio-sludge and contamination load minimisation A comparative study on conventional activated/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2a5363551ac8b0d70dee226ca3398aad86fd6eed --- /dev/null +++ b/Media/2025/Hegazy et al. - 2025 - Excess bio-sludge and contamination load minimisation A comparative study on conventional activated/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d88f2b2aecccf8da38625670f64fbfb8e654fc43be86097242c36e2ad86fb63b +size 42263 diff --git a/Media/2025/Hegazy et al. - 2025 - Excess bio-sludge and contamination load 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], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 634.74, + 61.89, + 642.75 + ] + }, + { + "text": "phosphorus", + "bbox_points": [ + 64.29, + 634.74, + 106.4, + 642.75 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 108.79, + 634.74, + 134.19, + 642.75 + ] + }, + { + "text": "77", + "bbox_points": [ + 256.36, + 634.74, + 265.2, + 642.75 + ] + }, + { + "text": "83", + "bbox_points": [ + 447.02, + 634.74, + 455.85, + 642.75 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Hegazy et al. - 2025 - Excess bio-sludge and contamination load minimisation A comparative study on conventional activated/table_03.txt b/Media/2025/Hegazy et al. - 2025 - Excess bio-sludge and contamination load minimisation A comparative study on conventional activated/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..f9077d0fa7b2734659b1fa67d05dd6642cb30f1f --- /dev/null +++ b/Media/2025/Hegazy et al. - 2025 - Excess bio-sludge and contamination load minimisation A comparative study on conventional activated/table_03.txt @@ -0,0 +1 @@ +Nutrient and suspended solids removal rates (%) using activated sludge and rates after integrating it with anaerobic digestion diff --git a/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_01.jpg b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..111558d0b2bd11877b103cd9a07d3705da25e6d0 --- /dev/null +++ b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7312ed0c955a0b897546aaa2ddc31be1c5b134da2e6471a03e3a5cb8cc952719 +size 67343 diff --git a/Media/2025/Herold et al. - 2025 - Long-term performance 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0000000000000000000000000000000000000000..74fbd392ed3132e0211d6f30d9b721cd41706122 --- /dev/null +++ b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2680b1b7b5406fc4ee503e4ca7e454bc2fc1fc3ecfa1723697df054bfef774e +size 23705 diff --git a/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_02.txt b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..87eb770e19b368b55c8dd390424b8d791a0c9d9a --- /dev/null +++ b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_02.txt @@ -0,0 +1 @@ +Evolution of sensor sensitivity in treated GW with respect to the reference sensor over 140 h of continuous operation with measurement every 105 s. diff --git a/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_03.jpg b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8311386118a9df8f4a73b84c5b172e0b080f0604 --- /dev/null +++ b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6898c326f961bc37b6998350e8f3d225e4121b95f2603330995b567c84558973 +size 33456 diff --git a/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_03.txt b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..29f4ff6b19075fcf7737ec08130be2048d2d5957 --- /dev/null +++ b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_03.txt @@ -0,0 +1 @@ +Calibration curves of Prussian blue-coated sensors as a function of the chlorine concentration measured by a commercial reference sensor. Fitted line with 95% confidence interval (electrode 8 was ignored due to disruptions of the chlorination system causing numerous outliers, electrodes 6 and 10 in treated municipal WW, 7 and 9 in treated GW). diff --git a/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_04.jpg b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5c26d4309d90f3ae2eba15bf7ee28d7aa29d54e7 --- /dev/null +++ b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:747e2ff0e1e910baa77e06fe823ef5e0e5c42c7e8002976920fc24b0f6f82aa5 +size 25473 diff --git a/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_04.txt b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..4c4768b91ed857ee36e33efa064f5543ae09cfe8 --- /dev/null +++ b/Media/2025/Herold et al. - 2025 - Long-term performance of low-cost free chlorine sensors to monitor on-site water reuse/figure_04.txt @@ -0,0 +1 @@ +Evolution of the sensitivity of three Prussian blue-based sensors in treated GW, starting from day 5 (after stabilization). 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applications for continuous monitoring low-cost chlorine sensors in the literature diff --git a/Media/2025/Hosney et al. - 2025 - Micropollutant removal from domestic wastewater effluent by softwood-biochar and sludge-biochar for/figure_01.jpg b/Media/2025/Hosney et al. - 2025 - Micropollutant removal from domestic wastewater effluent by softwood-biochar and sludge-biochar for/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b0108fed6003cc23d58b1c5d5f27853eb9ca46b6 --- /dev/null +++ b/Media/2025/Hosney et al. - 2025 - Micropollutant removal from domestic wastewater effluent by softwood-biochar and sludge-biochar for/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:489475e1a00d971a494a892d4f23b8ee9d63606c06b0fd08e01d6b43b35345c5 +size 67950 diff --git a/Media/2025/Hosney et al. - 2025 - Micropollutant removal from domestic wastewater effluent by softwood-biochar and sludge-biochar for/figure_01.txt 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"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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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/Media/2025/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/Media/2025/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/Media/2025/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 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"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, + 209.64, + 285.71 + ] + }, + { + "text": "current", + "bbox_points": [ + 212.26, + 276.69, + 241.67, + 285.71 + ] + }, + { + "text": "cumulative", + "bbox_points": [ + 244.35, + 276.69, + 288.93, + 285.71 + ] + }, + { + "text": "impact", + "bbox_points": [ + 291.52, + 276.69, + 319.14, + 285.71 + ] + }, + { + "text": "on", + "bbox_points": [ + 321.8, + 276.69, + 332.28, + 285.71 + ] + }, + { + "text": "the", + "bbox_points": [ + 334.95, + 276.69, + 347.68, + 285.71 + ] + }, + { + "text": "three", + "bbox_points": [ + 350.37, + 276.69, + 371.05, + 285.71 + ] + }, + { + "text": "western", + "bbox_points": [ + 373.62, + 276.69, + 405.16, + 285.71 + ] + }, + { + "text": "rivers", + "bbox_points": [ + 407.74, + 276.69, + 430.31, + 285.71 + ] + }, + { + "text": "of", + "bbox_points": [ + 433.03, + 276.69, + 440.99, + 285.71 + ] + }, + { + "text": "the", + "bbox_points": [ + 443.63, + 276.69, + 456.37, + 285.71 + ] + }, + { + "text": "Indus", + "bbox_points": [ + 459.05, + 276.69, + 481.99, + 285.71 + ] + }, + { + "text": "is", + "bbox_points": [ + 484.62, + 276.69, + 490.99, + 285.71 + ] + } + ] + }, + { + "text": "not in violation of the IWT nor is it detrimental to the flow of water into Pakistan, even during the months when", + "bbox_points": [ + 37.02, + 289.42, + 491.03, + 298.75 + ], + "words": [ + { + "text": "not", + "bbox_points": [ + 37.02, + 289.73, + 50.4, + 298.75 + ] + }, + { + "text": "in", + "bbox_points": [ + 52.89, + 289.73, + 60.85, + 298.75 + ] + }, + { + "text": "violation", + "bbox_points": [ + 63.38, + 289.73, + 99.05, + 298.75 + ] + }, + { + "text": "of", + "bbox_points": [ + 101.6, + 289.73, + 109.55, + 298.75 + ] + }, + { + "text": "the", + "bbox_points": [ + 112.08, + 289.73, + 124.82, + 298.75 + ] + }, + { + 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It means that India has been abiding by the terms of the IWT and ensuring a", + "bbox_points": [ + 37.02, + 302.4, + 491.0, + 311.73 + ], + "words": [ + { + "text": "surface", + "bbox_points": [ + 37.02, + 302.71, + 65.86, + 311.73 + ] + }, + { + "text": "water", + "bbox_points": [ + 68.49, + 302.71, + 91.09, + 311.73 + ] + }, + { + "text": "flow", + "bbox_points": [ + 93.71, + 302.4, + 111.36, + 311.73 + ] + }, + { + "text": "is", + "bbox_points": [ + 113.95, + 302.71, + 120.31, + 311.73 + ] + }, + { + "text": "at", + "bbox_points": [ + 123.02, + 302.71, + 130.6, + 311.73 + ] + }, + { + "text": "the", + "bbox_points": [ + 133.23, + 302.71, + 145.96, + 311.73 + ] + }, + { + "text": "lowest.", + "bbox_points": [ + 148.65, + 302.71, + 176.78, + 311.73 + ] + }, + { + "text": "It", + "bbox_points": [ + 179.38, + 302.71, + 185.83, + 311.73 + ] + }, + { + "text": "means", + "bbox_points": [ + 188.56, + 302.71, + 214.7, + 311.73 + ] + }, + { + "text": "that", + "bbox_points": [ + 217.3, + 302.71, + 233.02, + 311.73 + ] + }, + { + "text": "India", + "bbox_points": [ + 235.73, + 302.71, + 257.07, + 311.73 + ] + }, + { + "text": "has", + "bbox_points": [ + 259.83, + 302.71, + 273.59, + 311.73 + ] + }, + { + "text": "been", + "bbox_points": [ + 276.27, + 302.71, + 295.57, + 311.73 + ] + }, + { + "text": "abiding", + "bbox_points": [ + 298.26, + 302.71, + 328.14, + 311.73 + ] + }, + { + "text": "by", + "bbox_points": [ + 330.86, + 302.71, + 340.33, + 311.73 + ] + }, + { + "text": "the", + "bbox_points": [ + 343.0, + 302.71, + 355.73, + 311.73 + ] + }, + { + "text": "terms", + "bbox_points": [ + 358.47, + 302.71, + 381.05, + 311.73 + ] + }, + { + "text": "of", + "bbox_points": [ + 383.76, + 302.71, + 391.72, + 311.73 + ] + }, + { + "text": "the", + "bbox_points": [ + 394.42, + 302.71, + 407.15, + 311.73 + ] + }, + { + "text": "IWT", + "bbox_points": [ + 409.84, + 302.71, + 428.39, + 311.73 + ] + }, + { + "text": "and", + "bbox_points": [ + 430.99, + 302.71, + 446.15, + 311.73 + ] + }, + { + "text": "ensuring", + "bbox_points": [ + 448.9, + 302.71, + 483.64, + 311.73 + ] + }, + { + "text": "a", + "bbox_points": [ + 486.32, + 302.71, + 491.0, + 311.73 + ] + } + ] + }, + { + "text": "fair distribution of water resources between the two countries. 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. 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2025 - Cluster analysis-based hydrological similarity assessment in small watersheds of Shandong Province_s/figure_01.jpg b/Media/2025/Li et al. - 2025 - Cluster analysis-based hydrological similarity assessment in small watersheds of Shandong Province_s/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ff2e5fdc2dec20acac16e40750eb58c38077d026 --- /dev/null +++ b/Media/2025/Li et al. - 2025 - Cluster analysis-based hydrological similarity assessment in small watersheds of Shandong Province_s/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:04ce875cbb4a049a2f1f7c85a51dc4c7c783fe36badbf1adf962577bbb91f21f +size 161486 diff --git a/Media/2025/Li et al. - 2025 - Cluster analysis-based hydrological similarity assessment in small watersheds of Shandong Province_s/figure_01.txt b/Media/2025/Li et al. - 2025 - Cluster analysis-based hydrological similarity assessment in small watersheds of Shandong Province_s/figure_01.txt 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watersheds; (b) Percentage of area for each land-use type and soil texture type in each group of small watersheds. (Note: (a): 1,2, … , | 12 means group I, group II, … , group XII. (b): ‘high’, ‘relatively high’, ‘medium’, ‘relatively low’, and ‘low’ in the figure represent the distribution of the indicator values of the watershed group among all the small watersheds). diff --git a/Media/2025/Li et al. - 2025 - Cluster analysis-based hydrological similarity assessment in small watersheds of Shandong Province_s/figure_06.jpg b/Media/2025/Li et al. - 2025 - Cluster analysis-based hydrological similarity assessment in small watersheds of Shandong Province_s/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7fa8a657f09a7e494311571dcfcf25091867fc47 --- /dev/null +++ b/Media/2025/Li et al. - 2025 - Cluster analysis-based hydrological similarity assessment in small watersheds of Shandong Province_s/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:83eacc96421d6c35ff807c77d36c8f7728e651cf290db522b1df55b3d1ea55ef +size 179152 diff --git a/Media/2025/Li et al. - 2025 - Cluster analysis-based hydrological similarity assessment in small watersheds of Shandong Province_s/figure_06.txt b/Media/2025/Li et al. - 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feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_01.jpg b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7cb583a83ddd7fbd2ab70952796a8fd55134c618 --- /dev/null +++ b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:43811ad25436cbaf58788a9eefb37a94a6916d36dae44ad2f77a8b69cd81d948 +size 27908 diff --git a/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_01.txt b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_01.txt new file mode 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sha256:2b389a83eae070e3f1699c95252736a02dc9530171e3ecaba18c19bb8c6d7363 +size 28376 diff --git a/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_02.txt b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..d29b7ba6bbde360ba71002456c65face2e34f058 --- /dev/null +++ b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_02.txt @@ -0,0 +1 @@ +Gain matrixes obtained by LQR algorithm based on IDZ model. diff --git a/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_03.jpg b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fa6e6e3c78177490255e189d7803a79ccf1cd85b --- /dev/null +++ b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:97d0330c507a52a0d69498ff94ce2fe31407c9bedd062df346185d6c73fd5c56 +size 71867 diff --git a/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_03.txt b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..7221a5ede4695a26d0399567ce3cf99349fbfa14 --- /dev/null +++ b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_03.txt @@ -0,0 +1 @@ +Structure of the HLQR controller in a canal pool. diff --git a/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_04.jpg b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9b16d60f465a662122e55fa467c0d4f8e265c3be --- /dev/null +++ b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf458c3193764928ab52dac63cc68977c058a7e987f8a24956d173ccd2d48a64 +size 58661 diff --git a/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_04.txt b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..43bc95a95f94008edb4815ffc922094ebf3e4fa6 --- /dev/null +++ b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_04.txt @@ -0,0 +1 @@ +Physical parameters of the ASCE Test Canal 2. diff --git a/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_05.jpg b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c48de2e3b6ce21a01d9b10021149e86f91f6acd5 --- /dev/null +++ b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ea05312a869d7efc056671d3445bae17cadb9d34ee1b5d11275325ff91f69a02 +size 69947 diff --git a/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_05.txt b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..25274854a68cd2a22b5c0e2c740366d63e4dbdf8 --- /dev/null +++ b/Media/2025/Li et al. - 2025 - Hybrid feedforward-feedback LQR controller based on model prediction for open channel water level co/figure_05.txt @@ -0,0 +1 @@ +Open-loop control in small-flow change: (a) and (c) for water level deviation; (b) and (d) for upstream discharge. diff --git a/Media/2025/Li et al. - 2025 - Hybrid 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"bbox_points": [ + 70.87, + 572.37, + 84.1, + 580.39 + ] + }, + { + "text": "logistic", + "bbox_points": [ + 397.25, + 572.37, + 422.54, + 580.39 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Liu et al. - 2025 - Leak detection in water distribution networks using micro-electromechanical systems-based accelerome/table_07.txt b/Media/2025/Liu et al. - 2025 - Leak detection in water distribution networks using micro-electromechanical systems-based accelerome/table_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..4105c8fbe4f1a38a2cdabad07f8dec684800629b --- /dev/null +++ b/Media/2025/Liu et al. - 2025 - Leak detection in water distribution networks using micro-electromechanical systems-based accelerome/table_07.txt @@ -0,0 +1 @@ +Input mathematical functions diff --git a/Media/2025/Liu et al. - 2025 - Leak detection in water distribution networks using micro-electromechanical systems-based accelerome/table_08.jpg b/Media/2025/Liu et 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b/Media/2025/Liu et al. - 2025 - Leak detection in water distribution networks using micro-electromechanical systems-based accelerome/table_08.json @@ -0,0 +1,437 @@ +{ + "kind": "table", + "label": "table_08", + "number": 8, + "caption": "Confusion matrix for detected results for pipes", + "page": 18, + "table_bbox_points": [ + 67.87, + 221.9, + 527.41, + 319.74 + ], + "caption_bbox_points": [ + 70.87, + 213.68, + 278.62, + 221.9 + ], + "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": "ANN GEP", + "bbox_points": [ + 258.75, + 236.47, + 421.38, + 242.47 + ], + "words": [ + { + "text": "ANN", + "bbox_points": [ + 258.75, + 236.47, + 272.74, + 242.47 + ] + }, + { + "text": "GEP", + "bbox_points": [ + 409.32, + 236.47, + 421.38, + 242.47 + ] + } + ] + }, + { + "text": "Actual leak Actual no-leak Actual leak Actual no-leak", + "bbox_points": [ + 258.75, + 251.49, + 524.4, + 257.49 + ], + "words": [ + { + "text": "Actual", + "bbox_points": [ + 258.75, + 251.49, + 278.67, + 257.49 + ] + }, + { + "text": "leak", + "bbox_points": [ + 280.69, + 251.49, + 293.8, + 257.49 + ] + }, + { + "text": "Actual", + "bbox_points": [ + 329.21, + 251.49, + 349.13, + 257.49 + ] + }, + { + "text": "no-leak", + "bbox_points": [ + 351.15, + 251.49, + 373.88, + 257.49 + ] + }, + { + "text": "Actual", + "bbox_points": [ + 409.32, + 251.49, + 429.24, + 257.49 + ] + }, + { + "text": "leak", + "bbox_points": [ + 431.2, + 251.49, + 444.32, + 257.49 + ] + }, + { + "text": "Actual", + "bbox_points": [ + 479.73, + 251.49, + 499.65, + 257.49 + ] + }, + { + "text": "no-leak", + "bbox_points": [ + 501.67, + 251.49, + 524.4, + 257.49 + ] + } + ] + }, + { + "text": "Metal pipe Detected leak 913 5 915 2", + "bbox_points": [ + 70.87, + 266.63, + 484.15, + 274.65 + ], + "words": [ + { + "text": "Metal", + "bbox_points": [ + 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micro-electromechanical systems-based accelerome/table_08.txt b/Media/2025/Liu et al. - 2025 - Leak detection in water distribution networks using micro-electromechanical systems-based accelerome/table_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1b3ceb69c6024c3b351d7d0361f22a19e48f015 --- /dev/null +++ b/Media/2025/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/Media/2025/Liu et al. - 2025 - Leak detection in water distribution networks using micro-electromechanical systems-based accelerome/table_09.jpg b/Media/2025/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/Media/2025/Liu et 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"bbox_points": [ + 538.64, + 156.87, + 562.72, + 164.89 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Lu et al. - 2025 - Effects of magnetotactic bacteria (MTB) on membrane fouling control in an ultrafiltration treatment/table_04.txt b/Media/2025/Lu et al. - 2025 - Effects of magnetotactic bacteria (MTB) on membrane fouling control in an ultrafiltration treatment/table_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..636fa743325694fe1f2532856ec0acb94bc6d680 --- /dev/null +++ b/Media/2025/Lu et al. - 2025 - Effects of magnetotactic bacteria (MTB) on membrane fouling control in an ultrafiltration treatment/table_04.txt @@ -0,0 +1 @@ +Alpha diversity index statistics in MTB-UF and N-UF reactors diff --git a/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_01.jpg b/Media/2025/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/Media/2025/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/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_01.txt b/Media/2025/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/Media/2025/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/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_02.jpg b/Media/2025/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/Media/2025/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/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_02.txt b/Media/2025/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/Media/2025/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/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_03.jpg b/Media/2025/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/Media/2025/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/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_03.txt b/Media/2025/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/Media/2025/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/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_04.jpg b/Media/2025/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/Media/2025/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/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_04.txt b/Media/2025/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/Media/2025/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/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_05.jpg b/Media/2025/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/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:daa4142ada3e96f033e3f4f3882b9fdb86edfc06fcbaeceb3a2739a66d63a4df +size 51370 diff --git a/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_05.txt b/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..679cdbfa01e2de055f7675e96446920ddf5f6fe7 --- /dev/null +++ b/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_05.txt @@ -0,0 +1 @@ +Learning curve of the CNN: (a) classifier accuracy by epoch for training and validation dataset and (b) classifier loss by epoch for training and validation dataset. diff --git a/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_06.jpg b/Media/2025/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/Media/2025/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/Media/2025/Luviano Soto et al. - 2025 - Water quality polluted by total suspended solids classified within an artificial neural network appr/figure_06.txt b/Media/2025/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/Media/2025/Luviano Soto et al. - 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"bbox_points": [ + 362.5, + 214.87, + 369.57, + 222.88 + ] + }, + { + "text": "deformation;", + "bbox_points": [ + 371.97, + 214.87, + 418.22, + 222.88 + ] + }, + { + "text": "spread", + "bbox_points": [ + 420.61, + 214.87, + 444.23, + 222.88 + ] + }, + { + "text": "on", + "bbox_points": [ + 446.57, + 214.87, + 455.89, + 222.88 + ] + }, + { + "text": "horizontal", + "bbox_points": [ + 458.31, + 214.87, + 495.5, + 222.88 + ] + }, + { + "text": "surface", + "bbox_points": [ + 497.82, + 214.87, + 523.34, + 222.88 + ] + } + ] + }, + { + "text": "but maintains an inclined fluid surface; large particle (boulder) setting; waves", + "bbox_points": [ + 224.05, + 225.08, + 501.86, + 233.37 + ], + "words": [ + { + "text": "but", + "bbox_points": [ + 224.05, + 225.36, + 235.62, + 233.37 + ] + }, + { + "text": "maintains", + "bbox_points": [ + 238.0, + 225.36, + 273.37, + 233.37 + ] + }, + { + "text": "an", + "bbox_points": [ + 275.76, + 225.36, + 284.66, + 233.37 + ] + }, + { + "text": "inclined", + "bbox_points": [ + 287.04, + 225.36, + 315.99, + 233.37 + ] + }, + { + "text": "fluid", + "bbox_points": [ + 318.39, + 225.08, + 334.63, + 233.37 + ] + }, + { + "text": "surface;", + "bbox_points": [ + 336.99, + 225.36, + 364.89, + 233.37 + ] + }, + { + "text": "large", + "bbox_points": [ + 367.26, + 225.36, + 384.91, + 233.37 + ] + }, + { + "text": "particle", + "bbox_points": [ + 387.27, + 225.36, + 414.4, + 233.37 + ] + }, + { + "text": "(boulder)", + "bbox_points": [ + 416.75, + 225.36, + 449.79, + 233.37 + ] + }, + { + "text": "setting;", + "bbox_points": [ + 452.19, + 225.36, + 478.07, + 233.37 + ] + }, + { + "text": "waves", + "bbox_points": [ + 480.42, + 225.36, + 501.86, + 233.37 + ] + } + ] + }, + { + "text": "appear but dissipate rapidly", + "bbox_points": [ + 224.05, + 235.84, + 323.35, + 243.86 + ], + "words": [ + { + "text": "appear", + "bbox_points": [ + 224.05, + 235.84, + 248.68, + 243.86 + ] + }, + { + "text": "but", + "bbox_points": [ + 251.1, + 235.84, + 262.66, + 243.86 + ] + }, + { + "text": "dissipate", + "bbox_points": [ + 265.04, + 235.84, + 296.0, + 243.86 + ] + }, + { + "text": "rapidly", + "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, + 437.82, + 275.38 + ] + }, + { + "text": "and", + "bbox_points": [ + 440.23, + 267.36, + 453.71, + 275.38 + ] + }, + { + "text": "gravel", + "bbox_points": [ + 456.04, + 267.36, + 477.34, + 275.38 + ] + }, + { + "text": "have", + "bbox_points": [ + 479.74, + 267.36, + 496.44, + 275.38 + ] + }, + { + "text": "settled", + "bbox_points": [ + 498.85, + 267.36, + 522.23, + 275.38 + ] + } + ] + }, + { + "text": "out and move as bedload", + "bbox_points": [ + 224.05, + 277.85, + 314.31, + 285.87 + ], + "words": [ + { + "text": "out", + "bbox_points": [ + 224.05, + 277.85, + 235.78, + 285.87 + ] + }, + { + "text": "and", + "bbox_points": [ + 238.17, + 277.85, + 251.65, + 285.87 + ] + }, + { + "text": "move", + "bbox_points": [ + 254.05, + 277.85, + 273.41, + 285.87 + ] + }, + { + "text": "as", + "bbox_points": [ + 275.82, + 277.85, + 283.3, + 285.87 + ] + }, + { + "text": "bedload", + "bbox_points": [ + 285.68, + 277.85, + 314.31, + 285.87 + ] + } + ] + }, + { + "text": "0.20–0.30 0.41–0.54 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 + ] + }, + { + "text": "resting", + "bbox_points": [ + 386.99, + 288.34, + 410.79, + 296.36 + ] + }, + { + "text": "on", + "bbox_points": [ + 413.13, + 288.34, + 422.45, + 296.36 + ] + }, + { + "text": "bed", + "bbox_points": [ + 424.86, + 288.34, + 437.85, + 296.36 + ] + }, + { + "text": "in", + "bbox_points": [ + 440.23, + 288.34, + 447.3, + 296.36 + ] + }, + { + "text": "quiescent", + "bbox_points": [ + 449.64, + 288.34, + 483.6, + 296.36 + ] + }, + { + "text": "fluid", + "bbox_points": [ + 485.98, + 288.06, + 502.16, + 296.36 + ] + } + ] + }, + { + "text": "condition", + "bbox_points": [ + 224.06, + 298.83, + 258.5, + 306.84 + ], + "words": [ + { + "text": "condition", + "bbox_points": [ + 224.06, + 298.83, + 258.5, + 306.84 + ] + } + ] + }, + { + "text": "Water flood ,0.20 ,0.41 Water flood with conventional suspended load and bedload", + "bbox_points": [ + 70.87, + 312.55, + 431.04, + 320.85 + ], + "words": [ + { + "text": "Water", + "bbox_points": [ + 70.87, + 312.83, + 92.63, + 320.85 + ] + }, + { + "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/Media/2025/Majumdar et al. - 2025 - Probabilistic assessment of peak discharge and debris flow concentration in the Surma River using Mo/table_01.txt b/Media/2025/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/Media/2025/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/Media/2025/Majumdar et al. - 2025 - Probabilistic assessment of peak discharge and debris flow 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0000000000000000000000000000000000000000..295d026c94e1b9765288f96717e1045b3cb2f276 --- /dev/null +++ b/Media/2025/Majumdar et al. - 2025 - Probabilistic assessment of peak discharge 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 + ], + "words": [ + { + "text": "Maximum", + "bbox_points": [ + 70.87, + 114.69, + 101.73, + 120.69 + ] + }, + { + "text": "annual", + "bbox_points": [ + 103.69, + 114.69, + 124.67, + 120.69 + ] + }, + { + "text": "water", + "bbox_points": [ + 126.71, + 114.69, + 145.05, + 120.69 + ] + }, + { + "text": "level", + "bbox_points": [ + 147.06, + 114.69, + 161.8, + 120.69 + ] + }, + { + "text": "and", + "bbox_points": [ + 163.73, + 114.69, + 175.34, + 120.69 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 177.33, + 114.69, + 207.69, + 120.69 + ] + } + ] + }, + { + "text": "Year Annual max water level (m) Annual max discharge (m3/s) Year Annual max water level (m) Annual max discharge (m3/s)", + "bbox_points": [ + 70.87, + 128.44, + 524.39, + 135.71 + ], + "words": [ + { + "text": "Year", + "bbox_points": [ + 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0000000000000000000000000000000000000000..8b011b1f2ca5f3754c5e1d02af59868bc495613f --- /dev/null +++ b/Media/2025/Majumdar et al. - 2025 - Probabilistic assessment of peak discharge and debris flow concentration in the Surma River using Mo/table_03.json @@ -0,0 +1,553 @@ +{ + "kind": "table", + "label": "table_03", + "number": 3, + "caption": "Statistical characteristics of used dataset", + "page": 9, + "table_bbox_points": [ + 67.87, + 517.1, + 527.41, + 676.96 + ], + "caption_bbox_points": [ + 70.87, + 508.88, + 256.89, + 517.1 + ], + "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": "Parameters Water level Discharge", + "bbox_points": [ + 70.87, + 531.67, + 524.43, + 537.67 + ], + "words": [ + { + "text": "Parameters", + "bbox_points": [ + 70.87, + 531.67, + 106.4, + 537.67 + ] + }, + { + "text": 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], + "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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}, + { + "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": [ + 504.17, + 469.76, + 535.35, + 477.78 + ] + }, + { + "text": "for", + "bbox_points": [ + 537.73, + 469.76, + 547.96, + 477.78 + ] + } + ] + }, + { + "text": "process by Wills & Irvine (1996) each parameter each parameter", + "bbox_points": [ + 72.0, + 480.25, + 495.9, + 488.26 + ], + "words": [ + { + "text": "process", + "bbox_points": [ + 72.0, + 480.25, + 98.77, + 488.26 + ] + }, + { + "text": "by", + "bbox_points": [ + 148.42, + 480.25, + 156.84, + 488.26 + ] + }, + { + "text": "Wills", + "bbox_points": [ + 159.25, + 480.25, + 177.67, + 488.26 + ] + }, + { + "text": "&", + "bbox_points": [ + 180.06, + 480.25, + 187.39, + 488.26 + ] + }, + { + "text": "Irvine", + "bbox_points": [ + 189.81, + 480.25, + 211.36, + 488.26 + ] + }, + { + "text": "(1996)", + "bbox_points": [ + 213.68, + 480.25, + 236.83, + 488.26 + ] + }, + { + "text": "each", + "bbox_points": [ + 306.48, + 480.25, + 323.16, + 488.26 + ] + }, + { + "text": "parameter", + "bbox_points": [ + 325.59, + 480.25, + 362.16, + 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", + 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"Aggregation", + "bbox_points": [ + 64.01, + 522.26, + 107.14, + 530.27 + ] + }, + { + "text": "Geometric", + "bbox_points": [ + 140.43, + 522.26, + 178.73, + 530.27 + ] + }, + { + "text": "mean", + "bbox_points": [ + 181.14, + 522.26, + 201.04, + 530.27 + ] + }, + { + "text": "Arithmetic", + "bbox_points": [ + 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 + ], + "words": [ + { + "text": "where", + "bbox_points": [ + 440.16, + 607.18, + 462.19, + 615.2 + ] + }, + { + "text": "Ii", + "bbox_points": [ + 464.6, + 607.08, + 469.59, + 615.87 + ] + }, + { + "text": "=", + "bbox_points": [ + 471.17, + 607.18, + 476.92, + 615.2 + ] + }, + { + "text": "subindex", + "bbox_points": [ + 478.49, + 607.18, + 510.43, + 615.2 + ] + }, + { + "text": "of", + "bbox_points": [ + 512.79, + 607.18, + 519.86, + 615.2 + ] + }, + { + "text": "pollutant", + "bbox_points": [ + 522.26, + 607.18, + 554.7, + 615.2 + ] + } + ] + }, + { + "text": "quality parameter, Wi = weighted value", + "bbox_points": [ + 148.42, + 617.57, + 288.85, + 626.41 + ], + "words": [ + { + "text": "quality", + "bbox_points": [ + 148.42, + 617.67, + 172.81, + 625.69 + ] + }, + { + "text": "parameter,", + "bbox_points": [ + 175.18, + 617.67, + 213.81, + 625.69 + ] + }, + { + "text": "Wi", + "bbox_points": [ + 216.11, + 617.57, + 226.04, + 626.41 + ] + }, + { + "text": "=", + "bbox_points": [ + 227.62, + 617.67, + 233.37, + 625.69 + ] + }, + { + "text": "weighted", + "bbox_points": [ + 234.88, + 617.67, + 267.28, + 625.69 + ] + }, + { + "text": "value", + "bbox_points": [ + 269.63, + 617.67, + 288.85, + 625.69 + ] + } + ] + }, + { + "text": "parameters and Ii = subindex", + "bbox_points": [ + 306.48, + 620.63, + 410.42, + 629.41 + ], + "words": [ + { + "text": "parameters", + "bbox_points": [ + 306.48, + 620.73, + 346.38, + 628.75 + ] + }, + { + "text": "and", + "bbox_points": [ + 348.72, + 620.73, + 362.2, + 628.75 + ] + }, + { + "text": "Ii", + "bbox_points": [ + 364.59, + 620.63, + 369.64, + 629.41 + ] + }, + { + "text": "=", + "bbox_points": [ + 371.23, + 620.73, + 376.97, + 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] + }, + { + "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/Media/2025/Marselina et al. - 2025 - Comparative analysis of water quality index based on seasonal differences in the upstream Citarum wa/table_09.txt b/Media/2025/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/Media/2025/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 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"words": [ + { + "text": "Uncovered", + "bbox_points": [ + 181.3, + 621.47, + 220.32, + 629.48 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 222.69, + 621.47, + 251.12, + 629.48 + ] + }, + { + "text": "seat", + "bbox_points": [ + 253.47, + 621.47, + 267.39, + 629.48 + ] + }, + { + "text": "versus", + "bbox_points": [ + 269.74, + 621.47, + 292.16, + 629.48 + ] + }, + { + "text": "fully-covered", + "bbox_points": [ + 294.52, + 621.47, + 340.23, + 629.48 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 342.59, + 621.47, + 371.08, + 629.48 + ] + }, + { + "text": "seat", + "bbox_points": [ + 373.43, + 621.47, + 387.29, + 629.48 + ] + }, + { + "text": "233.357", + "bbox_points": [ + 429.67, + 621.47, + 458.17, + 629.48 + ] + }, + { + "text": "0.000**", + "bbox_points": [ + 493.23, + 621.47, + 521.21, + 629.48 + ] + } + ] + }, + { + "text": "Partially-screened ceramic seat versus fully-covered ceramic seat 102.650 0.000**", + "bbox_points": [ + 181.3, + 632.01, + 521.21, + 640.03 + ], + "words": [ + { + "text": "Partially-screened", + "bbox_points": [ + 181.3, + 632.01, + 244.86, + 640.03 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 247.18, + 632.01, + 275.67, + 640.03 + ] + }, + { + "text": "seat", + "bbox_points": [ + 278.02, + 632.01, + 291.88, + 640.03 + ] + }, + { + "text": "versus", + "bbox_points": [ + 294.29, + 632.01, + 316.65, + 640.03 + ] + }, + { + "text": "fully-covered", + "bbox_points": [ + 319.01, + 632.01, + 364.72, + 640.03 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 367.09, + 632.01, + 395.57, + 640.03 + ] + }, + { + "text": "seat", + "bbox_points": [ + 397.93, + 632.01, + 411.79, + 640.03 + ] + }, + { + "text": "102.650", + "bbox_points": [ + 429.68, + 632.01, + 458.17, + 640.03 + ] + }, + { + "text": "0.000**", + "bbox_points": [ + 493.23, + 632.01, + 521.21, + 640.03 + ] + } + ] + }, + { + "text": "Type 2 (Multi-window with Uncovered squat hole seat versus uncovered ceramic seat 31.193 0.485", + "bbox_points": [ + 43.43, + 646.02, + 512.89, + 654.03 + ], + "words": [ + { + "text": "Type", + "bbox_points": [ + 43.43, + 646.02, + 60.82, + 654.03 + ] + }, + { + "text": "2", + "bbox_points": [ + 63.21, + 646.02, + 67.63, + 654.03 + ] + }, + { + "text": "(Multi-window", + "bbox_points": [ + 70.02, + 646.02, + 123.0, + 654.03 + ] + }, + { + "text": "with", + "bbox_points": [ + 125.4, + 646.02, + 141.38, + 654.03 + ] + }, + { + "text": "Uncovered", + "bbox_points": [ + 181.3, + 646.02, + 220.32, + 654.03 + ] + }, + { + "text": "squat", + "bbox_points": [ + 222.69, + 646.02, + 241.54, + 654.03 + ] + }, + { + "text": "hole", + "bbox_points": [ + 243.95, + 646.02, + 259.6, + 654.03 + ] + }, + { + "text": "seat", + "bbox_points": [ + 261.98, + 646.02, + 275.84, + 654.03 + ] + }, + { + "text": "versus", + "bbox_points": [ + 278.25, + 646.02, + 300.61, + 654.03 + ] + }, + { + "text": "uncovered", + "bbox_points": [ + 302.97, + 646.02, + 340.23, + 654.03 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 342.6, + 646.02, + 371.03, + 654.03 + ] + }, + { + "text": "seat", + "bbox_points": [ + 373.38, + 646.02, + 387.29, + 654.03 + ] + }, + { + "text": "31.193", + "bbox_points": [ + 429.67, + 646.02, + 453.75, + 654.03 + ] + }, + { + "text": "0.485", + "bbox_points": [ + 493.23, + 646.02, + 512.89, + 654.03 + ] + } + ] + }, + { + "text": "insect screen 100-mm vent Uncovered squat hole versus partially-screened ceramic seat 161.177 0.000**", + "bbox_points": [ + 51.48, + 656.5, + 521.21, + 664.52 + ], + "words": [ + { + "text": "insect", + "bbox_points": [ + 51.48, + 656.5, + 72.45, + 664.52 + ] + }, + { + "text": "screen", + "bbox_points": [ + 74.78, + 656.5, + 97.84, + 664.52 + ] + }, + { + "text": "100-mm", + "bbox_points": [ + 100.18, + 656.5, + 129.5, + 664.52 + ] + }, + { + "text": "vent", + "bbox_points": [ + 131.81, + 656.5, + 147.16, + 664.52 + ] + }, + { + "text": "Uncovered", + "bbox_points": [ + 181.3, + 656.5, + 220.32, + 664.52 + ] + }, + { + "text": "squat", + "bbox_points": [ + 222.69, + 656.5, + 241.54, + 664.52 + ] + }, + { + "text": "hole", + "bbox_points": [ + 243.95, + 656.5, + 259.6, + 664.52 + ] + }, + { + "text": "versus", + "bbox_points": [ + 261.98, + 656.5, + 284.34, + 664.52 + ] + }, + { + "text": "partially-screened", + "bbox_points": [ + 286.7, + 656.5, + 349.97, + 664.52 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 352.35, + 656.5, + 380.78, + 664.52 + ] + }, + { + "text": "seat", + "bbox_points": [ + 383.13, + 656.5, + 396.99, + 664.52 + ] + }, + { + "text": "161.177", + "bbox_points": [ + 429.67, + 656.5, + 458.17, + 664.52 + ] + }, + { + "text": "0.000**", + "bbox_points": [ + 493.23, + 656.5, + 521.21, + 664.52 + ] + } + ] + }, + { + "text": "pipe) Uncovered squat hole versus fully-covered ceramic seat 287.620 0.000**", + "bbox_points": [ + 51.48, + 666.99, + 521.21, + 675.01 + ], + "words": [ + { + "text": "pipe)", + "bbox_points": [ + 51.48, + 666.99, + 69.7, + 675.01 + ] + }, + { + "text": "Uncovered", + "bbox_points": [ + 181.3, + 666.99, + 220.32, + 675.01 + ] + }, + { + "text": "squat", + "bbox_points": [ + 222.69, + 666.99, + 241.54, + 675.01 + ] + }, + { + "text": "hole", + "bbox_points": [ + 243.95, + 666.99, + 259.6, + 675.01 + ] + }, + { + "text": "versus", + "bbox_points": [ + 261.98, + 666.99, + 284.34, + 675.01 + ] + }, + { + "text": "fully-covered", + "bbox_points": [ + 286.7, + 666.99, + 332.41, + 675.01 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 334.77, + 666.99, + 363.26, + 675.01 + ] + }, + { + "text": "seat", + "bbox_points": [ + 365.61, + 666.99, + 379.47, + 675.01 + ] + }, + { + "text": "287.620", + "bbox_points": [ + 429.68, + 666.99, + 458.17, + 675.01 + ] + }, + { + "text": "0.000**", + "bbox_points": [ + 493.23, + 666.99, + 521.21, + 675.01 + ] + } + ] + }, + { + "text": "Uncovered ceramic seat versus partially-screened ceramic seat 129.987 0.000**", + "bbox_points": [ + 181.3, + 677.48, + 521.21, + 685.49 + ], + "words": [ + { + "text": "Uncovered", + "bbox_points": [ + 181.3, + 677.48, + 220.32, + 685.49 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 222.69, + 677.48, + 251.12, + 685.49 + ] + }, + { + "text": "seat", + "bbox_points": [ + 253.47, + 677.48, + 267.39, + 685.49 + ] + }, + { + "text": "versus", + "bbox_points": [ + 269.74, + 677.48, + 292.16, + 685.49 + ] + }, + { + "text": "partially-screened", + "bbox_points": [ + 294.52, + 677.48, + 357.79, + 685.49 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 360.11, + 677.48, + 388.6, + 685.49 + ] + }, + { + "text": "seat", + "bbox_points": [ + 390.95, + 677.48, + 404.81, + 685.49 + ] + }, + { + "text": "129.987", + "bbox_points": [ + 429.67, + 677.48, + 458.17, + 685.49 + ] + }, + { + "text": "0.000**", + "bbox_points": [ + 493.23, + 677.48, + 521.21, + 685.49 + ] + } + ] + }, + { + "text": "Uncovered ceramic seat versus fully-covered ceramic seat 256.427 0.000**", + "bbox_points": [ + 181.3, + 687.97, + 521.21, + 695.98 + ], + "words": [ + { + "text": "Uncovered", + "bbox_points": [ + 181.3, + 687.97, + 220.32, + 695.98 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 222.69, + 687.97, + 251.12, + 695.98 + ] + }, + { + "text": "seat", + "bbox_points": [ + 253.47, + 687.97, + 267.39, + 695.98 + ] + }, + { + "text": "versus", + "bbox_points": [ + 269.74, + 687.97, + 292.16, + 695.98 + ] + }, + { + "text": "fully-covered", + "bbox_points": [ + 294.52, + 687.97, + 340.23, + 695.98 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 342.59, + 687.97, + 371.08, + 695.98 + ] + }, + { + "text": "seat", + "bbox_points": [ + 373.43, + 687.97, + 387.29, + 695.98 + ] + }, + { + "text": "256.427", + "bbox_points": [ + 429.67, + 687.97, + 458.17, + 695.98 + ] + }, + { + "text": "0.000**", + "bbox_points": [ + 493.23, + 687.97, + 521.21, + 695.98 + ] + } + ] + }, + { + "text": "Partially-screened ceramic seat versus fully-covered ceramic seat 126.443 0.000**", + "bbox_points": [ + 181.3, + 698.51, + 521.21, + 706.53 + ], + "words": [ + { + "text": "Partially-screened", + "bbox_points": [ + 181.3, + 698.51, + 244.86, + 706.53 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 247.18, + 698.51, + 275.67, + 706.53 + ] + }, + { + "text": "seat", + "bbox_points": [ + 278.02, + 698.51, + 291.88, + 706.53 + ] + }, + { + "text": "versus", + "bbox_points": [ + 294.29, + 698.51, + 316.65, + 706.53 + ] + }, + { + "text": "fully-covered", + "bbox_points": [ + 319.01, + 698.51, + 364.72, + 706.53 + ] + }, + { + "text": "ceramic", + "bbox_points": [ + 367.09, + 698.51, + 395.57, + 706.53 + ] + }, + { + "text": "seat", + "bbox_points": [ + 397.93, + 698.51, + 411.79, + 706.53 + ] + }, + { + "text": "126.443", + "bbox_points": [ + 429.68, + 698.51, + 458.17, + 706.53 + ] + }, + { + "text": "0.000**", + "bbox_points": [ + 493.23, + 698.51, + 521.21, + 706.53 + ] + } + ] + }, + { + "text": "**Significant at a 1% confidence level", + "bbox_points": [ + 43.43, + 714.8, + 146.63, + 720.84 + ], + "words": [ + { + "text": "**Significant", + "bbox_points": [ + 43.43, + 714.8, + 77.9, + 720.84 + ] + }, + { + "text": "at", + "bbox_points": [ + 79.94, + 714.84, + 85.18, + 720.84 + ] + }, + { + "text": "a", + "bbox_points": [ + 87.08, + 714.84, + 90.27, + 720.84 + ] + }, + { + "text": "1%", + "bbox_points": [ + 92.3, + 714.84, + 100.35, + 720.84 + ] + }, + { + "text": "confidence", + "bbox_points": [ + 102.33, + 714.8, + 132.15, + 720.84 + ] + }, + { + "text": "level", + "bbox_points": [ + 134.14, + 714.84, + 146.63, + 720.84 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Obeng et al. - 2025 - The emergence of prefabricated VIP toilet seats with covers The implication for odour control and p/table_03.txt b/Media/2025/Obeng et al. - 2025 - The emergence of prefabricated VIP toilet seats with covers The implication for odour control and p/table_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..0be2cc5c3078f09041514ef3405c0f83f8d86cf9 --- /dev/null +++ b/Media/2025/Obeng et al. - 2025 - The emergence of prefabricated VIP toilet seats with covers The implication for odour control and p/table_03.txt @@ -0,0 +1 @@ +Post hoc comparisons of standardised ventilation rates among the user interface designs diff --git a/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_01.jpg b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..384b5a164d53ae754bf43d15eef8a329d3d2ef83 --- /dev/null +++ b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2278d4d5ef5826a4d83acaf20784fa18522e6934af195b468f62f01a9ec556d5 +size 73203 diff --git a/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_01.txt b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..9820ea02e013eb693501ae2a2bec27e0fd9969c1 --- /dev/null +++ b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_01.txt @@ -0,0 +1 @@ +The implemented early warning system for new leakages in the case study with the three main modules of leakage detection, leakage size estimation, and leakage localisation. diff --git a/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_02.jpg b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4f5e29dd74a4984b31577001392bdfeb9cbb2fcc --- /dev/null +++ b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a7709883ba9b20c0d7e115bab9ffeb69e214d883a012d4286775e17c700ad231 +size 56825 diff --git a/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_02.txt b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..5171176a43109bf7634f1495c5455e98bcfee8c0 --- /dev/null +++ b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_02.txt @@ -0,0 +1 @@ +(a) Layout of the case study showing the pipe network (grey), the two DMA supply points as connections to the other part of the WDN (black), all households as possible installation sites for digital water meters (green), and the nine hydrants (orange) and (b) considered nodes in the model for the leakage localisation with locations of the leakage experiments. diff --git a/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_03.jpg b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cf453186cc549d7423e5f816d3c6a5710d738717 --- /dev/null +++ b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b23a56067a9923d35e3c2f3fe7c5adfbf8db9e937cfb4b263a00e1f935c3f093 +size 83202 diff --git a/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_03.txt b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..4fe66e8d14aa72489ab0cf368b523f9f745d7bbb --- /dev/null +++ b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_03.txt @@ -0,0 +1 @@ +Data transmission quality as the ratio of received data packets and number of expected data packets for the installed digital water meters in the case study. diff --git a/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_04.jpg b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..45a0dd26204c982db56f8d548935b35f8b6645ad --- /dev/null +++ b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:836abf02763e947aa4cb78ae9fe0fa1f31dc422039289461d31821ad3529b8bd +size 119869 diff --git a/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_04.txt b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..dd7e6995a53b2aca169aedfc4a6d5270004062b8 --- /dev/null +++ b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_04.txt @@ -0,0 +1 @@ +Hourly inflow of the case study since installation of the DMA, subdivided into available training data and period with leakage experiments for (a) measured flow at both inlet points to the DMA (positive values correspond to inflow and negative values to an outflow) and (b) total water demand of the case study. diff --git a/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_05.jpg b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system 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an early warning system for water leakages/figure_05.txt @@ -0,0 +1 @@ +Results for the leakage detection algorithm for Leakage events 8 to 10: (a) hourly resampled inflow compared with the prediction, and as reference also the real measured inflow and (b) hourly forecast error with identified anomalies. diff --git a/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_06.jpg b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..d7a48b6c44f39f0d858841246662f33d0e01c5a3 --- /dev/null +++ b/Media/2025/Oberascher et al. - 2025 - Using digitalisation for a real-word implementation of an early warning system for water leakages/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid 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learning ensembles and flood classification for enhanced flood forecasting with/figure_01.jpg b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..efa93d9ffdd58ae95023bea2f3a8ee9fac503e73 --- /dev/null +++ b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:19a602209bbccaf9f835a3df4395b9c640a7b6e61a856dc4d4b868fd57732aaf +size 183873 diff --git a/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_01.txt b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_01.txt new file mode 100644 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Coordinates are given in ETRS89/UTM zone 32N. diff --git a/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_02.jpg b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8b7bfa7b10214cf567891e0ef5fd319637f410db --- /dev/null +++ b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3d6193884b790d97ff66d79dd274bc4e9615d9bba3f09aaeab0cc85a7b0c69c7 +size 109470 diff --git a/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_02.txt b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..cf6eeb9f27b42a046e5f9743cab2c259891d4ecd --- /dev/null +++ b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_02.txt @@ -0,0 +1 @@ +Flow diagram of the two-stage machine learning-based forecast for the generation of model weights. The weights are based on two classifier ensembles. The first ensemble predicts the probability of flood event occurrence. The second ensemble predicts the prob- abilities of the respective flood type. The weights are determined by combining these probabilities. diff --git a/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_03.jpg b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8b5d21db1b90c78132330eaad08246452db7a0b3 --- /dev/null +++ b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:146fc8b8522137f1746bd269ef40c625cf15784f9aca140bc4333b9174fb0a1f +size 183533 diff --git a/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_03.txt b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac77bf48ef6a3b71ee869530c985c797cdad7592 --- /dev/null +++ b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_03.txt @@ -0,0 +1 @@ +NSE values for the type-specific parameter sets in comparison to those obtained without distinction into flood types: no distinction vs. (a) heavy rain, (b) long duration rain, (c) sequences of rain and (d) minor events. diff --git a/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_04.jpg b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b84e441970c961e0c49b82904c22c23bee460d4c --- /dev/null +++ b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2e618024c6642945bf957bc01bfe810285064d157979fcf6734b55dfbc88bf48 +size 51167 diff --git a/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_04.txt b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0dd08e452f5d7b245822283424ea08aeffe3c35 --- /dev/null +++ b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_04.txt @@ -0,0 +1 @@ +Confusion Matrix for the observed and estimated flood types for the Dorstfeld gauge. diff --git a/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_05.jpg b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ac6a6d6904a3f1ed33651a7bafd833f28739f5f2 --- /dev/null +++ b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:75015ca5e45201b09272509a1e6bc4c4f8b68cbf6fd8b5bcca5eae69618ac4b6 +size 104620 diff --git a/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_05.txt b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5d81b9cb7f4a29fb259a7a9be78f234a1d3ef0d --- /dev/null +++ b/Media/2025/Oppel et al. - 2025 - Integrating machine learning ensembles and flood classification for enhanced flood forecasting with/figure_05.txt @@ -0,0 +1 @@ +Top: observed hydrograph for the flood event recorded on 25 June 2016 and hydrographs of flood-forecasting by different model approaches. 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enteroviruses/figure_01.txt @@ -0,0 +1 @@ +Locations of WWTPs tested in Ankara-Turkey. diff --git a/Media/2025/Ozgur and Icgen - 2025 - Removal capacities of wastewater treatment plants to minimize spread of enteroviruses/figure_02.jpg b/Media/2025/Ozgur and Icgen - 2025 - Removal capacities of wastewater treatment plants to minimize spread of enteroviruses/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a228a62d2b8424e9a5b38c6f002a53ce8f36d275 --- /dev/null +++ b/Media/2025/Ozgur and Icgen - 2025 - Removal capacities of wastewater treatment plants to minimize spread of enteroviruses/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4e8f8d07639bdc3111e6c96a8c256ddc752acb83e987897df36fba6162635ee2 +size 164500 diff --git a/Media/2025/Ozgur and Icgen - 2025 - Removal capacities of wastewater treatment plants to minimize spread of enteroviruses/figure_02.txt b/Media/2025/Ozgur and Icgen - 2025 - Removal capacities of 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to design/figure_04.txt @@ -0,0 +1 @@ +Steps followed for the BHARAT MADM approach. diff --git a/Media/2025/Panchal and Yadav - 2025 - A comparative analysis of innovative MADM technique BHARAT and Hall_s statistical approach to design/figure_05.jpg b/Media/2025/Panchal and Yadav - 2025 - A comparative analysis of innovative MADM technique BHARAT and Hall_s statistical approach to design/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..48f10f8716d4bca77b86acd313b6daa983115e16 --- /dev/null +++ b/Media/2025/Panchal and Yadav - 2025 - A comparative analysis of innovative MADM technique BHARAT and Hall_s statistical approach to design/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0bcd84a4314f12f05a0450237b6845b4354b67f02f5831cf60db2160e7517714 +size 90624 diff --git a/Media/2025/Panchal and Yadav - 2025 - A comparative analysis of innovative MADM technique BHARAT and Hall_s statistical approach to 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Source: Development Planning Agency at sub-national level of west Java modified by authors 2024. diff --git a/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_04.jpg b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e1f8d9ffdb90513206614c0855139d173990c51b --- /dev/null +++ b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cd8c6ed7d144802963c7ca609f171eb8072117f8300067a3b77347b070070b82 +size 182220 diff --git a/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_04.txt b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..aa3795c727c4ea6ec980ccefa5396fd07354c51a --- /dev/null +++ b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_04.txt @@ -0,0 +1 @@ +Workflow diagram of our methodological approach. Source: Authors. diff --git a/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_05.jpg b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9b73d62868480fd1139678f7708d323e12225834 --- /dev/null +++ b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9f971063011765bffa6ddb1aa44ed79cb5307b03a04cb50c62e9f3f59b255480 +size 179460 diff --git a/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_05.txt b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..34334256244eaefadadd0a7064ab12f8b167fade --- /dev/null +++ b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_05.txt @@ -0,0 +1 @@ +Historical flood data in Dayeuhkolot, Bojongsoang, and Sapan. Source: KemenPUPR modified by authors 2024. 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Source: BBWS Citarum modified by authors 2024. diff --git a/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_07.jpg b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c65d7d009f0e25874f8eb894a46ca40c4571294a --- /dev/null +++ b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c99396390bff255275ec8f3c593630b353a50812a77fecc1ba2b05be48629b15 +size 105397 diff --git a/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_07.txt b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..49000f88b9c3f6bf83bd99f0aa05ae9828048302 --- /dev/null +++ b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_07.txt @@ -0,0 +1 @@ +Comparison before and after the Cieunteng retention pond was built. Source: Authors 2024 diff --git a/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_08.jpg b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f0e5f0204ba2a3afe582f4d445d18fe1cbb4c96c --- /dev/null +++ b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:153915501198437907ae772737e78fbd59a47f03566376201441589d7c4cf562 +size 129275 diff --git a/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_08.txt b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d27f77d7f577cf5e428b86c9a623e22e5719389 --- /dev/null +++ b/Media/2025/Permanasari et al. - 2025 - Enhancing urban resilience through integrated flood policy and planning a mixed-methods evaluation/figure_08.txt @@ -0,0 +1 @@ +Comparison before and after Andir pond was built. 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The diagram illustrates the flow of the hidden state (ht) and cell state (ct) through time (qw represents a delay of w sampling times). diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_04.jpg b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c0631b6b52479fa06f91c150c03c38f8fe345235 --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2c4f450da3f8acb4964831b726c14783fe7b8c7eb61d266f5642d531df46f784 +size 95214 diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_04.txt b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e717e91074a812e0e4cd8535c8e79054f4f9b32 --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_04.txt @@ -0,0 +1 @@ +Training and validation loss curves for AM2 (left) and ADM1 (right) predictors. diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_05.jpg b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4c0b7e3a1cce2d9ec32629359df59d658a7663f2 --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ea34d8d376230efc66fcb184025d916eb8316fcea93d38f55cf4dc47a5f86a99 +size 41943 diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_05.txt b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c96714847fd6cc3d32ff8e2e0eb56ff2639bde0 --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_05.txt @@ -0,0 +1 @@ +Multi-step relative prediction error (relative RMSE) as a function of the prediction horizon for AM2 and ADM1 predictors. diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_06.jpg b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6bc272b1f85680174c2808486cecf0a0850144fb --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c6baf4d7832bdad7c8e020e3ded5845e85e013eb74a0230dff9dfa59faccdeba +size 125519 diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_06.txt b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..6234dc38dd92142164ddd49d9c1b1e29c132f406 --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_06.txt @@ -0,0 +1 @@ +Test performance showing combined one-step and multi-step predictions for the AM2 predictor. The bottom plot shows seg- mented multi-step predictions. diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_07.jpg b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0078967b5afad10b56095db0b293c98dcebee3b4 --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:566842e8e6e7d82462943df5edada6c0f79d718d44d0eeab3ea38cfdde5aefa6 +size 118179 diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_07.txt b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c623de7d994b0ac191161c412fea1bc4f8b116d --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_07.txt @@ -0,0 +1 @@ +Test performance showing combined one-step and multi-step predictions for the ADM1 predictors. The bottom plots show segmented multi-step predictions. diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_08.jpg b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..13c628a7a4e2dce779f06ee8485b8ed548068b4e --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:01e2f50ed5d84a0e0013081231b7f5cc317b234a26c0e592be1e2b1fa94cab1c +size 81389 diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_08.txt b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fea0cdeab323de47194974e153c4beccd94324c --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_08.txt @@ -0,0 +1 @@ +Closed-loop performance of the LSTM-MPC showing setpoint tracking and control action with the AM2 emulator. diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_09.jpg b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..da821cee868c26ac777c6794923cf35b834f79a0 --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:647ae25247bcfc37704d847ebd06928940f6b81a001344240735560ced11dd93 +size 78711 diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_09.txt b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..46e0a513a44ff3b01add08248c724e611abd285b --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_09.txt @@ -0,0 +1 @@ +Closed-loop performance of the LSTM-MPC showing setpoint tracking and control action with the ADM1 emulator. diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_10.jpg b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..ece24da87c0597501a8c5f1a0abdc2b03135226a --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:01724407e0950de04de2989e2df8e05dfe0d2feb4e44f013dd73acbca8938598 +size 125751 diff --git a/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_10.txt b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..a51218ce8e51a4e3e0c8a28c4111b7216464e7d0 --- /dev/null +++ b/Media/2025/Pino Santana et al. - 2025 - Model predictive control of anaerobic digestion processes using a long short-term memory network pre/figure_10.txt @@ -0,0 +1 @@ +Effect of training data on the n-step-ahead prediction of the LSTM model trained with the AM2 emulator (left) and with the ADM1 emulator (right). 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Annual Sugarcane 2", + "bbox_points": [ + 64.01, + 515.96, + 524.17, + 523.98 + ], + "words": [ + { + "text": "4.", + "bbox_points": [ + 64.01, + 515.96, + 70.42, + 523.98 + ] + }, + { + "text": "Annual", + "bbox_points": [ + 168.32, + 515.96, + 194.87, + 523.98 + ] + }, + { + "text": "Sugarcane", + "bbox_points": [ + 366.06, + 515.96, + 403.38, + 523.98 + ] + }, + { + "text": "2", + "bbox_points": [ + 519.76, + 515.96, + 524.17, + 523.98 + ] + } + ] + }, + { + "text": "Source: Report of the Second Bihar State Irrigation Commission 1994", + "bbox_points": [ + 64.01, + 532.31, + 254.08, + 538.35 + ], + "words": [ + { + "text": "Source:", + "bbox_points": [ + 64.01, + 532.31, + 84.28, + 538.35 + ] + }, + { + "text": "Report", + "bbox_points": [ + 86.29, + 532.35, + 104.2, + 538.35 + ] + }, + { + "text": "of", + "bbox_points": [ + 106.13, + 532.35, + 111.43, + 538.35 + ] + }, + { + "text": "the", + "bbox_points": [ + 113.44, + 532.35, + 122.24, + 538.35 + ] + }, + { + "text": "Second", + "bbox_points": [ + 124.27, + 532.35, + 144.25, + 538.35 + ] + }, + { + "text": "Bihar", + "bbox_points": [ + 146.27, + 532.35, + 160.13, + 538.35 + ] + }, + { + "text": "State", + "bbox_points": [ + 162.08, + 532.35, + 176.01, + 538.35 + ] + }, + { + "text": "Irrigation", + "bbox_points": [ + 177.96, + 532.35, + 201.92, + 538.35 + ] + }, + { + "text": "Commission", + "bbox_points": [ + 203.86, + 532.35, + 237.27, + 538.35 + ] + }, + { + "text": "1994", + "bbox_points": [ + 240.83, + 532.35, + 254.08, + 538.35 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_02.txt b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..39700959e5a4de5469bf059ec7ff9abd9735ed1d --- /dev/null +++ b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_02.txt @@ -0,0 +1 @@ +Cropping pattern in the study area diff --git a/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_03.jpg b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..12a81bf6fa3275281808b8967470e7ff5748b462 --- /dev/null +++ b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ce91bc06abbf2d20f016b4cdc03ee55e3d04df0767c7d6b3bb532d740c0b8f62 +size 52782 diff --git a/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_03.json b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_03.json new file mode 100644 index 0000000000000000000000000000000000000000..d871cfe02e944eb781c9d815b5e1bcb26fbfa268 --- /dev/null +++ b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_03.json @@ -0,0 +1,928 @@ +{ + "kind": "table", + "label": "table_03", + "number": 3, + "caption": "Land use pattern in the Sone command area", + "page": 5, + "table_bbox_points": [ + 40.43, + 85.16, + 548.44, + 287.03 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 243.78, + 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": "Sl. 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Land put to non-agricultural use 88,426 11.1", + "bbox_points": [ + 43.43, + 156.87, + 514.48, + 164.89 + ], + "words": [ + { + "text": "4.", + "bbox_points": [ + 43.43, + 156.87, + 49.84, + 164.89 + ] + }, + { + "text": "Land", + "bbox_points": [ + 155.4, + 156.87, + 174.2, + 164.89 + ] + }, + { + "text": "put", + "bbox_points": [ + 176.6, + 156.87, + 188.33, + 164.89 + ] + }, + { + "text": "to", + "bbox_points": [ + 190.71, + 156.87, + 197.87, + 164.89 + ] + }, + { + "text": "non-agricultural", + "bbox_points": [ + 200.24, + 156.87, + 257.47, + 164.89 + ] + }, + { + "text": "use", + "bbox_points": [ + 259.88, + 156.87, + 271.78, + 164.89 + ] + }, + { + "text": "88,426", + "bbox_points": [ + 375.25, + 156.87, + 399.33, + 164.89 + ] + }, + { + "text": "11.1", + "bbox_points": [ + 499.24, + 156.87, + 514.48, + 164.89 + ] + } + ] + }, + { + "text": "5. Permanent pastures 956 0.1", + "bbox_points": [ + 43.43, + 170.88, + 510.07, + 178.89 + ], + "words": [ + { + "text": "5.", + "bbox_points": [ + 43.43, + 170.88, + 49.84, + 178.89 + ] + }, + { + "text": "Permanent", + "bbox_points": [ + 155.4, + 170.88, + 194.6, + 178.89 + ] + }, + { + "text": "pastures", + "bbox_points": [ + 196.95, + 170.88, + 226.28, + 178.89 + ] + }, + { + "text": "956", + "bbox_points": [ + 375.25, + 170.88, + 388.5, + 178.89 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 499.24, + 170.88, + 510.07, + 178.89 + ] + } + ] + }, + { + "text": "6. Land under mice tree crops 2,241 0.3", + "bbox_points": [ + 43.43, + 184.88, + 510.07, + 192.89 + ], + "words": [ + { + "text": "6.", + "bbox_points": [ + 43.43, + 184.88, + 49.84, + 192.89 + ] + }, + { + "text": "Land", + "bbox_points": [ + 155.4, + 184.88, + 174.2, + 192.89 + ] + }, + { + "text": "under", + "bbox_points": [ + 176.6, + 184.88, + 197.65, + 192.89 + ] + }, + { + "text": "mice", + "bbox_points": [ + 200.01, + 184.88, + 217.34, + 192.89 + ] + }, + { + "text": "tree", + "bbox_points": [ + 219.68, + 184.88, + 233.24, + 192.89 + ] + }, + { + "text": "crops", + "bbox_points": [ + 235.62, + 184.88, + 255.07, + 192.89 + ] + }, + { + "text": "2,241", + "bbox_points": [ + 375.25, + 184.88, + 394.91, + 192.89 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 499.24, + 184.88, + 510.07, + 192.89 + ] + } + ] + }, + { + "text": "7. Culturable waste land 3,587 0.4", + "bbox_points": [ + 43.43, + 198.88, + 510.07, + 206.9 + ], + "words": [ + { + "text": "7.", + "bbox_points": [ + 43.43, + 198.88, + 49.84, + 206.9 + ] + }, + { + "text": "Culturable", + "bbox_points": [ + 155.4, + 198.88, + 193.09, + 206.9 + ] + }, + { + "text": "waste", + "bbox_points": [ + 195.25, + 198.88, + 215.32, + 206.9 + ] + }, + { + "text": "land", + "bbox_points": [ + 217.7, + 198.88, + 233.51, + 206.9 + ] + }, + { + "text": "3,587", + "bbox_points": [ + 375.25, + 198.88, + 394.91, + 206.9 + ] + }, + { + "text": "0.4", + "bbox_points": [ + 499.24, + 198.88, + 510.07, + 206.9 + ] + } + ] + }, + { + "text": "8. 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Net sown area 643,949 80.9", + "bbox_points": [ + 43.43, + 240.89, + 514.48, + 248.91 + ], + "words": [ + { + "text": "10.", + "bbox_points": [ + 43.43, + 240.89, + 54.26, + 248.91 + ] + }, + { + "text": "Net", + "bbox_points": [ + 155.4, + 240.89, + 168.71, + 248.91 + ] + }, + { + "text": "sown", + "bbox_points": [ + 171.1, + 240.89, + 189.88, + 248.91 + ] + }, + { + "text": "area", + "bbox_points": [ + 192.24, + 240.89, + 207.6, + 248.91 + ] + }, + { + "text": "643,949", + "bbox_points": [ + 375.25, + 240.89, + 403.74, + 248.91 + ] + }, + { + "text": "80.9", + "bbox_points": [ + 499.24, + 240.89, + 514.48, + 248.91 + ] + } + ] + }, + { + "text": "11. Area sown more than once 343,812", + "bbox_points": [ + 43.43, + 254.89, + 403.74, + 262.91 + ], + "words": [ + { + "text": "11.", + "bbox_points": [ + 43.43, + 254.89, + 54.26, + 262.91 + ] + }, + { + "text": "Area", + "bbox_points": [ + 155.4, + 254.89, + 172.51, + 262.91 + ] + }, + { + "text": "sown", + "bbox_points": [ + 174.9, + 254.89, + 193.74, + 262.91 + ] + }, + { + "text": "more", + "bbox_points": [ + 196.1, + 254.89, + 214.61, + 262.91 + ] + }, + { + "text": "than", + "bbox_points": [ + 217.02, + 254.89, + 233.24, + 262.91 + ] + }, + { + "text": "once", + "bbox_points": [ + 235.61, + 254.89, + 252.93, + 262.91 + ] + }, + { + "text": "343,812", + "bbox_points": [ + 375.25, + 254.89, + 403.74, + 262.91 + ] + } + ] + }, + { + "text": "12. 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No. Growth stage Initial (days) Dev (days) Mid (days) End (days) Total Date", + "bbox_points": [ + 43.43, + 341.06, + 532.72, + 347.06 + ], + "words": [ + { + "text": "Sl.", + "bbox_points": [ + 43.43, + 341.06, + 50.91, + 347.06 + ] + }, + { + "text": "No.", + "bbox_points": [ + 52.95, + 341.06, + 63.31, + 347.06 + ] + }, + { + "text": "Growth", + "bbox_points": [ + 119.85, + 341.06, + 143.27, + 347.06 + ] + }, + { + "text": "stage", + "bbox_points": [ + 145.19, + 341.06, + 162.25, + 347.06 + ] + }, + { + "text": "Initial", + "bbox_points": [ + 220.87, + 341.06, + 238.73, + 347.06 + ] + }, + { + "text": "(days)", + "bbox_points": [ + 240.72, + 341.06, + 259.16, + 347.06 + ] + }, + { + "text": "Dev", + "bbox_points": [ + 288.56, + 341.06, + 300.31, + 347.06 + ] + }, + { + "text": "(days)", + "bbox_points": [ + 302.34, + 341.06, + 320.75, + 347.06 + ] + }, + { + "text": "Mid", + "bbox_points": [ + 350.13, + 341.06, + 362.0, + 347.06 + ] + }, + { + "text": "(days)", + "bbox_points": [ + 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Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_09.txt b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb5623e3bfc6a15fb4077f306d746f0f107f9d89 --- /dev/null +++ b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_09.txt @@ -0,0 +1 @@ +75% Dependable rainfall (mm) and dependable Penman–Monteith ET0 during the period 1980–2015 diff --git a/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_10.jpg b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_10.jpg new file mode 100644 index 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"0", + "bbox_points": [ + 454.62, + 350.53, + 459.04, + 358.55 + ] + }, + { + "text": "35.5", + "bbox_points": [ + 537.9, + 350.53, + 553.15, + 358.55 + ] + } + ] + }, + { + "text": "Mar 2 Late 0.61 27.6 0 27.6", + "bbox_points": [ + 64.01, + 364.48, + 553.15, + 372.5 + ], + "words": [ + { + "text": "Mar", + "bbox_points": [ + 64.01, + 364.48, + 79.07, + 372.5 + ] + }, + { + "text": "2", + "bbox_points": [ + 139.75, + 364.48, + 144.16, + 372.5 + ] + }, + { + "text": "Late", + "bbox_points": [ + 218.04, + 364.48, + 233.91, + 372.5 + ] + }, + { + "text": "0.61", + "bbox_points": [ + 294.92, + 364.48, + 310.16, + 372.5 + ] + }, + { + "text": "27.6", + "bbox_points": [ + 371.28, + 364.48, + 386.53, + 372.5 + ] + }, + { + "text": "0", + "bbox_points": [ + 454.62, + 364.48, + 459.04, + 372.5 + ] + }, + { + "text": "27.6", + "bbox_points": [ + 537.9, + 364.48, + 553.15, + 372.5 + ] + } + ] + }, + { + "text": "Mar 3 Late 0.4 10.5 0 10.5", + "bbox_points": [ + 64.01, + 378.48, + 553.15, + 386.5 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Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_10.txt b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b528959bd7ed7da536c38e8af6074c2388346b2 --- /dev/null +++ b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_10.txt @@ -0,0 +1 @@ +Crop water requirements for Maize-1 (Rabi) based on single crop coefficient (Kc) diff --git a/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_11.jpg b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_11.jpg new file mode 100644 index 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"0", + "bbox_points": [ + 457.29, + 648.17, + 461.7, + 656.19 + ] + }, + { + "text": "33.3", + "bbox_points": [ + 540.23, + 648.17, + 555.47, + 656.19 + ] + } + ] + }, + { + "text": "Mar 2 Late 0.66 29.6 0 29.6", + "bbox_points": [ + 64.01, + 662.18, + 555.47, + 670.19 + ], + "words": [ + { + "text": "Mar", + "bbox_points": [ + 64.01, + 662.18, + 79.07, + 670.19 + ] + }, + { + "text": "2", + "bbox_points": [ + 140.26, + 662.18, + 144.68, + 670.19 + ] + }, + { + "text": "Late", + "bbox_points": [ + 219.12, + 662.18, + 234.99, + 670.19 + ] + }, + { + "text": "0.66", + "bbox_points": [ + 296.56, + 662.18, + 311.81, + 670.19 + ] + }, + { + "text": "29.6", + "bbox_points": [ + 373.44, + 662.18, + 388.68, + 670.19 + ] + }, + { + "text": "0", + "bbox_points": [ + 457.29, + 662.18, + 461.7, + 670.19 + ] + }, + { + "text": "29.6", + "bbox_points": [ + 540.23, + 662.18, + 555.47, + 670.19 + ] + } + ] + }, + { + "text": "Mar 3 Late 0.52 13.6 0 13.6", + "bbox_points": [ + 64.01, + 676.18, + 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a/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_11.txt b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_11.txt new file mode 100644 index 0000000000000000000000000000000000000000..170814f54b3704cc0d21925c9e4806a378421600 --- /dev/null +++ b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_11.txt @@ -0,0 +1 @@ +Crop water requirements for Maize-1 (Rabi) based on dual crop coefficient (i.e. Kc ¼ Kcb þ Ke) diff --git a/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_12.jpg b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the 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a/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_12.txt b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_12.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb8adc32a4e4577763ba3f9f04671a6fae35496e --- /dev/null +++ b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_12.txt @@ -0,0 +1 @@ +Crop water requirements for wheat based on single crop coefficient Kc diff --git a/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_13.jpg b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_13.jpg new file mode 100644 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+ 620.17, + 534.95, + 628.18 + ], + "words": [ + { + "text": "Feb", + "bbox_points": [ + 43.43, + 620.17, + 56.44, + 628.18 + ] + }, + { + "text": "1", + "bbox_points": [ + 119.74, + 620.17, + 124.15, + 628.18 + ] + }, + { + "text": "Mid", + "bbox_points": [ + 198.54, + 620.17, + 213.19, + 628.18 + ] + }, + { + "text": "1.01", + "bbox_points": [ + 275.98, + 620.17, + 291.23, + 628.18 + ] + }, + { + "text": "27", + "bbox_points": [ + 352.86, + 620.17, + 361.69, + 628.18 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 436.76, + 620.17, + 447.59, + 628.18 + ] + }, + { + "text": "26.9", + "bbox_points": [ + 519.7, + 620.17, + 534.95, + 628.18 + ] + } + ] + }, + { + "text": "Feb 2 Late 1 29.9 0 29.9", + "bbox_points": [ + 43.43, + 634.17, + 534.95, + 642.19 + ], + "words": [ + { + "text": "Feb", + "bbox_points": [ + 43.43, + 634.17, + 56.44, + 642.19 + ] + }, + { + "text": "2", + "bbox_points": [ + 119.74, + 634.17, + 124.15, + 642.19 + ] + }, + { + "text": "Late", + "bbox_points": [ + 198.54, + 634.17, + 214.41, + 642.19 + ] + }, + { + "text": "1", + "bbox_points": [ + 275.98, + 634.17, + 280.4, + 642.19 + ] + }, + { + "text": "29.9", + "bbox_points": [ + 352.86, + 634.17, + 368.1, + 642.19 + ] + }, + { + "text": "0", + "bbox_points": [ + 436.76, + 634.17, + 441.18, + 642.19 + ] + }, + { + "text": "29.9", + "bbox_points": [ + 519.7, + 634.17, + 534.95, + 642.19 + ] + } + ] + }, + { + "text": "Feb 3 Late 0.88 24.6 0 24.6", + "bbox_points": [ + 43.43, + 648.17, + 534.95, + 656.19 + ], + "words": [ + { + "text": "Feb", + "bbox_points": [ + 43.43, + 648.17, + 56.44, + 656.19 + ] + }, + { + "text": "3", + "bbox_points": [ + 119.74, + 648.17, + 124.15, + 656.19 + ] + }, + { + "text": "Late", + "bbox_points": [ + 198.54, + 648.17, + 214.41, + 656.19 + ] + }, + { + "text": "0.88", + "bbox_points": [ + 275.98, + 648.17, + 291.23, + 656.19 + ] + }, + { + "text": "24.6", + "bbox_points": [ + 352.86, + 648.17, + 368.1, + 656.19 + ] + }, + { + "text": "0", + "bbox_points": [ + 436.76, + 648.17, + 441.18, + 656.19 + ] + }, + { + "text": "24.6", + "bbox_points": [ + 519.7, + 648.17, + 534.95, + 656.19 + ] + } + ] + }, + { + "text": "Mar 1 Late 0.7 28.2 0 28.2", + "bbox_points": [ + 43.43, + 662.18, + 534.95, + 670.19 + ], + "words": [ + { + "text": "Mar", + "bbox_points": [ + 43.43, + 662.18, + 58.49, + 670.19 + ] + }, + { + "text": "1", + "bbox_points": [ + 119.74, + 662.18, + 124.15, + 670.19 + ] + }, + { + "text": "Late", + "bbox_points": [ + 198.54, + 662.18, + 214.41, + 670.19 + ] + }, + { + "text": "0.7", + "bbox_points": [ + 275.98, + 662.18, + 286.81, + 670.19 + ] + }, + { + "text": "28.2", + "bbox_points": [ + 352.86, + 662.18, + 368.1, + 670.19 + ] + }, + { + "text": "0", + "bbox_points": [ + 436.76, + 662.18, + 441.18, + 670.19 + ] + }, + { + "text": "28.2", + "bbox_points": [ + 519.7, + 662.18, + 534.95, + 670.19 + ] + } + ] + }, + { + "text": "Mar 2 Late 0.51 23 0 23", + "bbox_points": [ + 43.43, + 676.18, + 528.54, + 684.19 + ], + "words": [ + { + "text": "Mar", + "bbox_points": [ + 43.43, + 676.18, + 58.49, + 684.19 + ] + }, + { + "text": "2", + "bbox_points": [ + 119.74, + 676.18, + 124.15, + 684.19 + ] + }, + { + "text": "Late", + "bbox_points": [ + 198.54, + 676.18, + 214.41, + 684.19 + ] + }, + { + "text": "0.51", + "bbox_points": [ + 275.98, + 676.18, + 291.23, + 684.19 + ] + }, + { + "text": "23", + "bbox_points": [ + 352.86, + 676.18, + 361.69, + 684.19 + ] + }, + { + "text": "0", + "bbox_points": [ + 436.76, + 676.18, + 441.18, + 684.19 + ] + }, + { + "text": "23", + "bbox_points": [ + 519.7, + 676.18, + 528.54, + 684.19 + ] + } + ] + }, + { + "text": "Total (in mm) 256.6 1.6 255", + "bbox_points": [ + 43.43, + 689.9, + 532.95, + 697.9 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 689.9, + 62.39, + 697.9 + ] + }, + { + "text": "(in", + "bbox_points": [ + 64.8, + 689.9, + 74.87, + 697.9 + ] + }, + { + "text": "mm)", + "bbox_points": [ + 77.22, + 689.9, + 94.11, + 697.9 + ] + }, + { + "text": "256.6", + "bbox_points": [ + 352.86, + 689.9, + 372.52, + 697.9 + ] + }, + { + "text": "1.6", + "bbox_points": [ + 436.76, + 689.9, + 447.59, + 697.9 + ] + }, + { + "text": "255", + "bbox_points": [ + 519.7, + 689.9, + 532.95, + 697.9 + ] + } + ] + }, + { + "text": "amm/dec millimetres per 10 days; mm/day millimetres per day; Init Initial stage; Mid Middle stage; Deve Development stage; Coeff Coefficient; Eff rain Effective rainfall; Irr req", + "bbox_points": [ + 43.43, + 705.24, + 542.24, + 712.56 + ], + "words": [ + { + "text": "amm/dec", + "bbox_points": [ + 43.43, + 705.24, + 68.47, + 712.56 + ] + }, + { + "text": "millimetres", + "bbox_points": [ + 72.34, + 706.56, + 102.44, + 712.56 + ] + }, + { + "text": "per", + "bbox_points": [ + 104.65, + 706.56, + 113.58, + 712.56 + ] + }, + { + "text": "10", + "bbox_points": [ + 115.82, + 706.56, + 122.45, + 712.56 + ] + }, + { + "text": "days;", + "bbox_points": [ + 124.72, + 706.56, + 138.68, + 712.56 + ] + }, + { + "text": "mm/day", + "bbox_points": [ + 140.94, + 706.56, + 163.36, + 712.56 + ] + }, + { + "text": "millimetres", + "bbox_points": [ + 167.13, + 706.56, + 197.22, + 712.56 + ] + }, + { + "text": "per", + "bbox_points": [ + 199.44, + 706.56, + 208.37, + 712.56 + ] + }, + { + "text": "day;", + "bbox_points": [ + 210.61, + 706.56, + 221.85, + 712.56 + ] + }, + { + "text": "Init", + "bbox_points": [ + 224.1, + 706.56, + 232.46, + 712.56 + ] + }, + { + "text": "Initial", + "bbox_points": [ + 236.35, + 706.56, + 250.76, + 712.56 + ] + }, + { + "text": "stage;", + "bbox_points": [ + 253.01, + 706.56, + 269.25, + 712.56 + ] + }, + { + "text": "Mid", + "bbox_points": [ + 271.44, + 706.56, + 281.49, + 712.56 + ] + }, + { + "text": "Middle", + "bbox_points": [ + 285.38, + 706.56, + 303.61, + 712.56 + ] + }, + { + "text": "stage;", + "bbox_points": [ + 305.91, + 706.56, + 322.14, + 712.56 + ] + }, + { + "text": "Deve", + "bbox_points": [ + 324.33, + 706.56, + 337.95, + 712.56 + ] + }, + { + "text": "Development", + 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management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_13.txt b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_13.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d6714d7b911704e6961ee390248eb84519cc301 --- /dev/null +++ b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_13.txt @@ -0,0 +1 @@ +Crop water requirements for wheat based on dual crop coefficient (Kcb þ Ke) diff --git a/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_14.jpg b/Media/2025/Praveen et al. - 2025 - Assessment of irrigation water management using FAO-CROPWAT 8 in the Paliganj distributary of the So/table_14.jpg new file mode 100644 index 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No. Crop Crop water requirement (mm/dec) Irrigation requirement (mm/dec)", + "bbox_points": [ + 64.01, + 237.77, + 566.01, + 243.77 + ], + "words": [ + { + "text": "Sl.", + "bbox_points": [ + 64.01, + 237.77, + 71.49, + 243.77 + ] + }, + { + "text": "No.", + "bbox_points": [ + 73.47, + 237.77, + 83.84, + 243.77 + ] + }, + { + "text": "Crop", + "bbox_points": [ + 163.05, + 237.77, + 177.72, + 243.77 + ] + }, + { + "text": "Crop", + "bbox_points": [ + 278.7, + 237.77, + 293.37, + 243.77 + ] + }, + { + "text": "water", + "bbox_points": [ + 295.31, + 237.77, + 313.66, + 243.77 + ] + }, + { + "text": "requirement", + "bbox_points": [ + 315.66, + 237.77, + 354.25, + 243.77 + ] + }, + { + "text": "(mm/dec)", + "bbox_points": [ + 356.37, + 237.77, + 385.85, + 243.77 + ] + }, + { + "text": "Irrigation", + "bbox_points": [ + 464.99, + 237.77, + 493.84, + 243.77 + ] + }, + { + "text": "requirement", + "bbox_points": [ + 495.83, + 237.77, + 534.45, + 243.77 + ] + }, + { + "text": "(mm/dec)", + "bbox_points": [ + 536.53, + 237.77, + 566.01, + 243.77 + ] + } + ] + }, + { + "text": "1. Rice 524.9 473.6", + "bbox_points": [ + 64.01, + 252.91, + 484.66, + 260.93 + ], + "words": [ + { + "text": "1.", + "bbox_points": [ + 64.01, + 252.91, + 70.42, + 260.93 + ] + }, + { + "text": "Rice", + "bbox_points": [ + 163.05, + 252.91, + 178.95, + 260.93 + ] + }, + { + "text": "524.9", + "bbox_points": [ + 278.7, + 252.91, + 298.37, + 260.93 + ] + }, + { + "text": "473.6", + "bbox_points": [ + 464.99, + 252.91, + 484.66, + 260.93 + ] + } + ] + }, + { + "text": "2. Maize-I 291.4 289.7", + "bbox_points": [ + 64.01, + 266.91, + 484.66, + 274.93 + ], + "words": [ + { + "text": "2.", + "bbox_points": [ + 64.01, + 266.91, + 70.42, + 274.93 + ] + }, + { + "text": "Maize-I", + "bbox_points": [ + 163.05, + 266.91, + 190.52, + 274.93 + ] + }, + { + "text": "291.4", + "bbox_points": [ + 278.7, + 266.91, + 298.37, + 274.93 + ] + }, + { + "text": "289.7", + "bbox_points": [ + 464.99, + 266.91, + 484.66, + 274.93 + ] + } + ] + }, + { + "text": "3. 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(a) Deoxygenated water sample; (b) oxygenated water sample; (1) water depth gauge; (2) jet device secured in channel; (3) plunging jet (formed) impinging into water pool; (4) tilt angle arrangement; (5) pressure gauges; (6) sluice valve; (7) 2HP motor; (8) water tank. diff --git a/Media/2025/Puri et al. - 2025 - Aeration of square jets in an open channel experimental analysis and modeling/figure_02.jpg b/Media/2025/Puri et al. - 2025 - Aeration of square jets in an open channel experimental analysis and modeling/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..69f762c8e26b03bc35d5b533fee62882397235a5 --- /dev/null +++ b/Media/2025/Puri et al. - 2025 - Aeration of square jets in an open channel experimental analysis and modeling/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:365479fbd8ff72d66f3a23bae2c7abf56d026146f89f7383b80b03c03c990df2 +size 86785 diff --git a/Media/2025/Puri et al. - 2025 - Aeration of square jets in an open channel experimental analysis and modeling/figure_02.txt b/Media/2025/Puri et al. - 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-0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:015882a900f0c5bff7b9fb85ffcb242c572f1bf1ecf229a9decaab583d02ec0d +size 116604 diff --git a/Media/2025/Puri et al. - 2025 - Aeration of square jets in an open channel experimental analysis and modeling/table_04.json b/Media/2025/Puri et al. - 2025 - Aeration of square jets in an open channel experimental analysis and modeling/table_04.json new file mode 100644 index 0000000000000000000000000000000000000000..1ff6fb2ad46773fd15c161884b1d8bfc263a9143 --- /dev/null +++ b/Media/2025/Puri et al. - 2025 - Aeration of square jets in an open channel experimental analysis and modeling/table_04.json @@ -0,0 +1,2053 @@ +{ + "kind": "table", + "label": "table_04", + "number": 4, + "caption": "Indices interpretation", + "page": 15, + "table_bbox_points": [ + 40.43, + 85.16, + 548.44, + 494.01 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 157.92, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": 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[ + 348.66, + 219.85, + 363.91, + 227.87 + ] + }, + { + "text": "to", + "bbox_points": [ + 366.23, + 219.85, + 373.38, + 227.87 + ] + }, + { + "text": "0.01", + "bbox_points": [ + 381.94, + 219.85, + 397.18, + 227.87 + ] + }, + { + "text": "Very", + "bbox_points": [ + 456.15, + 219.85, + 473.15, + 227.87 + ] + }, + { + "text": "weak", + "bbox_points": [ + 475.53, + 219.85, + 494.39, + 227.87 + ] + }, + { + "text": "negative", + "bbox_points": [ + 496.74, + 219.85, + 526.36, + 227.87 + ] + } + ] + }, + { + "text": "MAE: the term MAE refers to errors that are evenly distributed. 0 , MAE , ∞", + "bbox_points": [ + 43.42, + 233.58, + 393.01, + 241.87 + ], + "words": [ + { + "text": "MAE:", + "bbox_points": [ + 43.42, + 233.86, + 64.99, + 241.87 + ] + }, + { + "text": "the", + "bbox_points": [ + 67.35, + 233.86, + 78.67, + 241.87 + ] + }, + { + "text": "term", + "bbox_points": [ + 81.07, + 233.86, + 97.8, + 241.87 + ] + }, + { + "text": "MAE", + "bbox_points": [ + 100.17, + 233.86, + 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}, + { + "text": "∞", + "bbox_points": [ + 385.68, + 233.58, + 393.01, + 241.58 + ] + } + ] + }, + { + "text": "RMSE: the RMSE is the sample std. dev. of the variances between 0 , RMSE , ∞", + "bbox_points": [ + 43.42, + 247.58, + 397.32, + 255.88 + ], + "words": [ + { + "text": "RMSE:", + "bbox_points": [ + 43.42, + 247.86, + 69.31, + 255.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 71.66, + 247.86, + 82.98, + 255.88 + ] + }, + { + "text": "RMSE", + "bbox_points": [ + 85.38, + 247.86, + 108.94, + 255.88 + ] + }, + { + "text": "is", + "bbox_points": [ + 111.29, + 247.86, + 116.94, + 255.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 119.17, + 247.86, + 130.49, + 255.88 + ] + }, + { + "text": "sample", + "bbox_points": [ + 132.89, + 247.86, + 158.28, + 255.88 + ] + }, + { + "text": "std.", + "bbox_points": [ + 160.61, + 247.86, + 172.94, + 255.88 + ] + }, + { + "text": "dev.", + "bbox_points": [ + 175.29, + 247.86, + 190.03, + 255.88 + ] + }, + { + "text": "of", + "bbox_points": [ + 192.41, + 247.86, + 199.49, + 255.88 + ] + }, + { + "text": "the", + "bbox_points": [ + 201.88, + 247.86, + 213.2, + 255.88 + ] + }, + { + "text": "variances", + "bbox_points": [ + 215.54, + 247.86, + 249.58, + 255.88 + ] + }, + { + "text": "between", + "bbox_points": [ + 251.94, + 247.86, + 281.81, + 255.88 + ] + }, + { + "text": "0", + "bbox_points": [ + 342.48, + 247.86, + 346.89, + 255.88 + ] + }, + { + "text": ",", + "bbox_points": [ + 348.49, + 247.58, + 355.15, + 255.58 + ] + }, + { + "text": "RMSE", + "bbox_points": [ + 356.71, + 247.86, + 380.27, + 255.88 + ] + }, + { + "text": ",", + "bbox_points": [ + 381.77, + 247.58, + 388.43, + 255.58 + ] + }, + { + "text": "∞", + "bbox_points": [ + 389.99, + 247.58, + 397.32, + 255.58 + ] + } + ] + }, + { + "text": "estimated and the values observed.", + "bbox_points": [ + 51.47, + 258.41, + 176.46, + 266.42 + ], + "words": [ + { + "text": "estimated", + "bbox_points": [ + 51.47, + 258.41, + 85.59, + 266.42 + ] + }, + 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+ 97.06, + 329.94 + ] + }, + { + "text": "N", + "bbox_points": [ + 89.63, + 321.43, + 94.68, + 327.73 + ] + } + ] + }, + { + "text": "(oi o)( pi p)", + "bbox_points": [ + 98.99, + 327.89, + 160.98, + 337.7 + ], + "words": [ + { + "text": "(oi", + "bbox_points": [ + 98.99, + 327.89, + 109.0, + 337.7 + ] + }, + { + "text": "o)(", + "bbox_points": [ + 120.42, + 327.89, + 131.58, + 337.02 + ] + }, + { + "text": "pi", + "bbox_points": [ + 133.06, + 327.89, + 140.01, + 337.7 + ] + }, + { + "text": "p)", + "bbox_points": [ + 152.9, + 327.89, + 160.98, + 337.02 + ] + } + ] + }, + { + "text": "CC ¼ s ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi", + "bbox_points": [ + 43.43, + 340.16, + 122.2, + 349.77 + ], + "words": [ + { + "text": "CC", + "bbox_points": [ + 43.43, + 340.76, + 56.35, + 349.77 + ] + }, + { + "text": "¼", + "bbox_points": [ + 58.9, + 340.44, + 65.83, + 349.44 + ] + }, + { + "text": "s", + "bbox_points": [ + 68.32, + 340.16, + 77.32, + 349.16 + ] + }, + { + "text": "ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi", + "bbox_points": [ + 77.27, + 340.16, + 122.2, + 349.16 + ] + } + ] + }, + { + "text": "i¼1", + "bbox_points": [ + 87.19, + 338.12, + 97.47, + 344.66 + ], + "words": [ + { + "text": "i¼1", + "bbox_points": [ + 87.19, + 338.12, + 97.47, + 344.66 + ] + } + ] + }, + { + "text": "s ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi (11)", + "bbox_points": [ + 122.57, + 340.16, + 545.45, + 349.77 + ], + "words": [ + { + "text": "s", + "bbox_points": [ + 122.57, + 340.16, + 131.57, + 349.16 + ] + }, + { + "text": "ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi", + "bbox_points": [ + 131.58, + 340.16, + 179.82, + 349.16 + ] + }, + { + "text": "(11)", + "bbox_points": [ + 529.34, + 340.76, + 545.45, + 349.77 + ] + } + ] + }, + { + "text": "P N P N", + "bbox_points": [ + 77.73, + 349.28, + 141.45, + 358.29 + ], + "words": [ + { + "text": "P", + "bbox_points": [ + 77.73, + 349.28, + 87.19, + 358.28 + ] + }, + { + "text": "N", + "bbox_points": [ + 79.77, + 349.77, + 84.82, + 356.07 + ] + }, + { + "text": "P", + "bbox_points": [ + 131.98, + 349.29, + 141.45, + 358.29 + ] + }, + { + "text": "N", + "bbox_points": [ + 134.02, + 349.77, + 139.07, + 356.07 + ] + } + ] + }, + { + "text": "(oi o)2 ( pi p)2", + "bbox_points": [ + 89.06, + 353.99, + 179.34, + 366.05 + ], + "words": [ + { + "text": "(oi", + "bbox_points": [ + 89.06, + 356.23, + 99.14, + 366.05 + ] + }, + { + "text": "o)2", + "bbox_points": [ + 110.55, + 353.99, + 122.08, + 365.36 + ] + }, + { + "text": "(", + "bbox_points": [ + 143.38, + 356.35, + 146.46, + 365.36 + ] + }, + { + "text": "pi", + "bbox_points": [ + 147.97, + 356.23, + 154.87, + 366.05 + ] + }, + { + "text": "p)2", + "bbox_points": [ + 167.81, + 353.99, + 179.34, + 365.36 + ] + } + ] + }, + { + "text": "i¼1 i¼1", + "bbox_points": [ + 77.27, + 366.47, + 141.87, + 373.0 + ], + "words": [ + { + "text": "i¼1", + "bbox_points": [ + 77.27, + 366.47, + 87.61, + 373.0 + ] + }, + { + "text": "i¼1", + "bbox_points": [ + 131.58, + 366.47, + 141.87, + 373.0 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 84.87, + 385.43, + 89.84, + 394.45 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 84.87, + 385.43, + 89.84, + 394.45 + ] + } + ] + }, + { + "text": "X N", + "bbox_points": [ + 92.69, + 382.68, + 105.63, + 391.68 + ], + "words": [ + { + "text": "X", + "bbox_points": [ + 92.69, + 382.68, + 105.63, + 391.68 + ] + }, + { + "text": "N", + "bbox_points": [ + 96.43, + 383.22, + 101.49, + 389.52 + ] + } + ] + }, + { + "text": "MAE ¼ j pi oij (12)", + "bbox_points": [ + 43.43, + 391.24, + 545.45, + 401.26 + ], + "words": [ + { + "text": "MAE", + "bbox_points": [ + 43.43, + 391.55, + 65.07, + 400.57 + ] + }, + { + "text": "¼", + "bbox_points": [ + 70.07, + 391.24, + 77.0, + 400.24 + ] + }, + { + "text": "j", + "bbox_points": [ + 107.09, + 391.24, + 109.52, + 400.24 + ] + }, + { + "text": "pi", + "bbox_points": [ + 111.0, + 391.44, + 117.96, + 401.26 + ] + }, + { + "text": "oij", + "bbox_points": [ + 129.37, + 391.24, + 139.23, + 401.26 + ] + }, + { + "text": "(12)", + "bbox_points": [ + 529.34, + 391.55, + 545.45, + 400.57 + ] + } + ] + }, + { + "text": "N", + "bbox_points": [ + 83.51, + 397.62, + 90.73, + 406.62 + ], + "words": [ + { + "text": "N", + "bbox_points": [ + 83.51, + 397.62, + 90.73, + 406.62 + ] + } + ] + }, + { + "text": "i¼1", + "bbox_points": [ + 94.0, + 403.43, + 104.28, + 409.97 + ], + "words": [ + { + "text": "i¼1", + "bbox_points": [ + 94.0, + 403.43, + 104.28, + 409.97 + ] + } + ] + }, + { + "text": "v ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi", + "bbox_points": [ + 81.86, + 411.59, + 152.33, + 420.59 + ], + "words": [ + { + "text": "v", + "bbox_points": [ + 81.86, + 411.59, + 91.33, + 420.59 + ] + }, + { + "text": "ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi", + "bbox_points": [ + 91.33, + 411.59, + 152.33, + 420.59 + ] + } + ] + }, + { + "text": "u", + "bbox_points": [ + 81.86, + 416.52, + 91.33, + 425.52 + ], + "words": [ + { + "text": "u", + "bbox_points": [ + 81.86, + 416.52, + 91.33, + 425.52 + ] + } + ] + }, + { + "text": "u", + "bbox_points": [ + 81.86, + 421.85, + 91.33, + 430.85 + ], + "words": [ + { + "text": "u", + "bbox_points": [ + 81.86, + 421.85, + 91.33, + 430.85 + ] + } + ] + }, + { + "text": "t", + "bbox_points": [ + 81.86, + 427.18, + 91.33, + 436.18 + ], + "words": [ + { + "text": "t", + "bbox_points": [ + 81.86, + 427.18, + 91.33, + 436.18 + ] + } + ] + }, + { + "text": "1", + "bbox_points": [ + 92.69, + 424.6, + 97.66, + 433.62 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 92.69, + 424.6, + 97.66, + 433.62 + ] + } + ] + }, + { + "text": "X N", + "bbox_points": [ + 100.52, + 421.91, + 113.45, + 430.91 + ], + "words": [ + { + "text": "X", + "bbox_points": [ + 100.52, + 421.91, + 113.45, + 430.91 + ] + }, + { + "text": "N", + "bbox_points": [ + 104.26, + 422.4, + 109.31, + 428.7 + ] + } + ] + }, + { + "text": "RMSE ¼ ( pi oi)2 (13)", + "bbox_points": [ + 43.43, + 428.43, + 545.45, + 440.43 + ], + "words": [ + { + "text": "RMSE", + "bbox_points": [ + 43.43, + 430.73, + 69.93, + 439.75 + ] + }, + { + "text": "¼", + "bbox_points": [ + 72.45, + 430.41, + 79.38, + 439.41 + ] + }, + { + "text": "(", + "bbox_points": [ + 114.92, + 430.73, + 118.0, + 439.75 + ] + }, + { + "text": "pi", + "bbox_points": [ + 119.51, + 430.61, + 126.46, + 440.43 + ] + }, + { + "text": "oi)2", + "bbox_points": [ + 137.88, + 428.43, + 151.84, + 440.43 + ] + }, + { + "text": "(13)", + "bbox_points": [ + 529.34, + 430.73, + 545.45, + 439.75 + ] + } + ] + }, + { + "text": "N", + "bbox_points": [ + 91.33, + 436.79, + 98.55, + 445.79 + ], + "words": [ + { + "text": "N", + "bbox_points": [ + 91.33, + 436.79, + 98.55, + 445.79 + ] + } + ] + }, + { + "text": "i¼1", + "bbox_points": [ + 101.82, + 442.61, + 112.1, + 449.14 + ], + "words": [ + { + "text": "i¼1", + "bbox_points": [ + 101.82, + 442.61, + 112.1, + 449.14 + ] + } + ] + }, + { + "text": "where (oi) represents the observed value, (pi) represents the predicted value, and ( p) presents the mean of the predicted value.", + "bbox_points": [ + 43.43, + 465.31, + 545.46, + 475.13 + ], + "words": [ + { + "text": "where", + "bbox_points": [ + 43.43, + 465.42, + 68.44, + 474.44 + ] + }, + { + "text": "(oi)", + "bbox_points": [ + 70.53, + 465.31, + 84.1, + 475.13 + ] + }, + { + "text": "represents", + "bbox_points": [ + 86.23, + 465.42, + 127.56, + 474.44 + ] + }, + { + "text": "the", + "bbox_points": [ + 129.6, + 465.42, + 142.34, + 474.44 + ] + }, + { + "text": "observed", + "bbox_points": [ + 144.51, + 465.42, + 180.64, + 474.44 + ] + }, + { + "text": "value,", + "bbox_points": [ + 182.78, + 465.42, + 206.66, + 474.44 + ] + }, + { + "text": "(pi)", + "bbox_points": [ + 208.8, + 465.31, + 222.43, + 475.13 + ] + }, + { + "text": "represents", + "bbox_points": [ + 224.56, + 465.42, + 265.84, + 474.44 + ] + }, + { + "text": "the", + "bbox_points": [ + 267.93, + 465.42, + 280.67, + 474.44 + ] + }, + { + "text": "predicted", + "bbox_points": [ + 282.78, + 465.42, + 320.69, + 474.44 + ] + }, + { + "text": "value,", + "bbox_points": [ + 322.87, + 465.42, + 346.75, + 474.44 + ] + }, + { + "text": "and", + "bbox_points": [ + 348.89, + 465.42, + 364.06, + 474.44 + ] + }, + { + "text": "(", + "bbox_points": [ + 366.18, + 465.42, + 369.27, + 474.44 + ] + }, + { + "text": "p)", + "bbox_points": [ + 370.77, + 465.31, + 378.85, + 474.44 + ] + }, + { + "text": "presents", + "bbox_points": [ + 381.71, + 465.42, + 415.03, + 474.44 + ] + }, + { + "text": "the", + "bbox_points": [ + 417.09, + 465.42, + 429.83, + 474.44 + ] + }, + { + "text": "mean", + "bbox_points": [ + 432.0, + 465.42, + 454.39, + 474.44 + ] + }, + { + "text": "of", + "bbox_points": [ 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experimental analysis and modeling/table_07.txt @@ -0,0 +1 @@ +Sensitivity analysis diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_01.jpg b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f3bf46ff364ed4d32f1f59044d9b2e08d6730180 --- /dev/null +++ b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ea2e25b6f77c6b69d82893f55b79b870a77ea272fb3ddc77d04f501010469315 +size 59382 diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_01.txt b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..7aecbc0b5bbca2e94c3153431c0855687c31bcaf --- /dev/null +++ b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_01.txt @@ -0,0 +1 @@ +The role of RS in streamflow measurement (Tan et al. 2014). diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_02.jpg b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..deff22da3e58329117db144e6b1e38d00ba949df --- /dev/null +++ b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd2a8eaa64a2211457be30f724d45c0fe1ac2590821b88c254ba846ce0e83d3b +size 127200 diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_02.txt b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..239dd660dbf38333a95db0415018993984dcc213 --- /dev/null +++ b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_02.txt @@ -0,0 +1 @@ +Map of the Gilgel Ghibe catchment. diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_03.jpg b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..696bc2e42dec5e9015abba11020c18e38b487aee --- /dev/null +++ b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:92a4880bf06a0a93d15daa9cc7abc0e9db0642213b38b790cd62a64263186862 +size 58681 diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_03.txt b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..db8fc832a2ef7b4cfff708a397ec1406235e4e6a --- /dev/null +++ b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_03.txt @@ -0,0 +1 @@ +Schematic representation of the PyTOPKAPI model (Lastoria 2008; Todini 2011). diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_04.jpg b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3a2419f71d63a5dabd892489e2a4f1799516799e --- /dev/null +++ b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ff970bf3e4b7f7ad3a09c819a35ec9b970fc38b1b58b238cd5b70ec16a41dcf3 +size 182583 diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_04.txt b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..b12441c8c7eefcbe5f2408ac43fe4f880c83f679 --- /dev/null +++ b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_04.txt @@ -0,0 +1 @@ +Basin-averaged precipitation: (a) gauged, (b) TRMM3B42, (c) WaterBase, (d) TRMM bias-adjusted, and (e) WaterBase bias-adjusted. diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_05.jpg b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0e28626390303cd2e56252992b8a10b826aefcfe --- /dev/null +++ b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e43b027bc480cf8d4acf58f2811107b75c1dfad901cbc5e6f589c2bf92f64081 +size 131717 diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_05.txt b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..924d65d3c571f538053001bc8af164fbba68bceb --- /dev/null +++ b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_05.txt @@ -0,0 +1 @@ +Simulated and observed streamflows, with gauged rainfall, for the calibration period (1986–2000). diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_06.jpg b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0f77454d1014bf8ef71d0284bb580e60d653228e --- /dev/null +++ b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:97d219ec131d50ea682b1b1dd6e1ac2ab4a875c87cd6b1357d618cadbf36c904 +size 183408 diff --git a/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_06.txt b/Media/2025/Rabba - 2025 - Streamflow modeling using the PyTOPKAPI model and remotely sensed rainfall a case study of the Gilg/figure_06.txt 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a/Media/2025/Ramos et al. - 2025 - Contributions toward net-zero carbon in the water sector application to a case study/figure_03.jpg b/Media/2025/Ramos et al. - 2025 - Contributions toward net-zero carbon in the water sector application to a case study/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..bed5b0b38aa9313fe2ea30182940db469dd0ac7f --- /dev/null +++ b/Media/2025/Ramos et al. - 2025 - Contributions toward net-zero carbon in the water sector application to a case study/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a85f9762919ebefcd759c9957ae310c0e262d198f12390caa1dd06e233858c1 +size 116455 diff --git a/Media/2025/Ramos et al. - 2025 - Contributions toward net-zero carbon in the water sector application to a case study/figure_03.txt b/Media/2025/Ramos et al. - 2025 - Contributions toward net-zero carbon in the water sector application to a case study/figure_03.txt new file mode 100644 index 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+ { + "text": "PV", + "bbox_points": [ + 397.7, + 448.16, + 405.75, + 454.16 + ] + }, + { + "text": "Proposed", + "bbox_points": [ + 462.27, + 448.16, + 491.56, + 454.16 + ] + }, + { + "text": "solution", + "bbox_points": [ + 493.51, + 448.16, + 518.8, + 454.16 + ] + }, + { + "text": "G", + "bbox_points": [ + 520.78, + 448.16, + 525.21, + 454.16 + ] + }, + { + "text": "þ", + "bbox_points": [ + 526.39, + 448.12, + 531.01, + 454.12 + ] + }, + { + "text": "H", + "bbox_points": [ + 532.63, + 448.16, + 537.13, + 454.16 + ] + }, + { + "text": "þ", + "bbox_points": [ + 538.3, + 448.12, + 542.92, + 454.12 + ] + }, + { + "text": "PV", + "bbox_points": [ + 544.48, + 448.16, + 552.53, + 454.16 + ] + }, + { + "text": "þ", + "bbox_points": [ + 553.72, + 448.12, + 558.34, + 454.12 + ] + }, + { + "text": "W", + "bbox_points": [ + 559.96, + 448.16, + 566.02, + 454.16 + ] + } + ] + }, + { + "text": "Net present cost €1.42M €1.19M €831,070", + "bbox_points": [ + 64.01, + 463.02, + 494.74, + 471.31 + ], + "words": [ + { + "text": "Net", + "bbox_points": [ + 64.01, + 463.3, + 77.33, + 471.31 + ] + }, + { + "text": "present", + "bbox_points": [ + 79.71, + 463.3, + 105.9, + 471.31 + ] + }, + { + "text": "cost", + "bbox_points": [ + 108.28, + 463.3, + 122.54, + 471.31 + ] + }, + { + "text": "€1.42M", + "bbox_points": [ + 201.77, + 463.02, + 228.73, + 471.31 + ] + }, + { + "text": "€1.19M", + "bbox_points": [ + 315.5, + 463.02, + 342.46, + 471.31 + ] + }, + { + "text": "€831,070", + "bbox_points": [ + 462.27, + 463.02, + 494.74, + 471.31 + ] + } + ] + }, + { + "text": "CAPEX €493,504 €621,165 €738,556", + "bbox_points": [ + 64.01, + 477.02, + 494.74, + 485.32 + ], + "words": [ + { + "text": "CAPEX", + "bbox_points": [ + 64.01, + 477.3, + 92.06, + 485.32 + ] + }, + { + "text": "€493,504", + "bbox_points": [ + 201.77, + 477.02, + 234.23, + 485.32 + ] + }, + { + "text": "€621,165", + "bbox_points": [ + 315.5, + 477.02, + 347.96, + 485.32 + ] + }, + { + "text": "€738,556", + "bbox_points": [ + 462.27, + 477.02, + 494.74, + 485.32 + ] + } + ] + }, + { + "text": "OPEX €71,659 €43,793 €7,156", + "bbox_points": [ + 64.01, + 491.02, + 485.91, + 499.32 + ], + "words": [ + { + "text": "OPEX", + "bbox_points": [ + 64.01, + 491.3, + 87.25, + 499.32 + ] + }, + { + "text": "€71,659", + "bbox_points": [ + 201.77, + 491.02, + 229.82, + 499.32 + ] + }, + { + "text": "€43,793", + "bbox_points": [ + 315.5, + 491.02, + 343.55, + 499.32 + ] + }, + { + "text": "€7,156", + "bbox_points": [ + 462.27, + 491.02, + 485.91, + 499.32 + ] + } + ] + }, + { + "text": "LCOE (per kWh) €0.111 €0.0838 €0.0475", + "bbox_points": [ + 64.01, + 505.03, + 490.32, + 513.32 + ], + "words": [ + { + "text": "LCOE", + "bbox_points": [ + 64.01, + 505.31, + 87.13, + 513.32 + ] + }, + { + "text": "(per", + "bbox_points": [ + 89.52, + 505.31, + 104.66, + 513.32 + ] + }, + { + "text": "kWh)", + "bbox_points": [ + 107.04, + 505.31, + 127.43, + 513.32 + ] + }, + { + "text": "€0.111", + "bbox_points": [ + 201.77, + 505.03, + 225.4, + 513.32 + ] + }, + { + "text": "€0.0838", + "bbox_points": [ + 315.5, + 505.03, + 343.55, + 513.32 + ] + }, + { + "text": "€0.0475", + "bbox_points": [ + 462.27, + 505.03, + 490.32, + 513.32 + ] + } + ] + }, + { + "text": "CO2 emitted (kg/year) 252,048 80,269 160,476", + "bbox_points": [ + 64.01, + 519.31, + 496.89, + 527.33 + ], + "words": [ + { + "text": "CO2", + "bbox_points": [ + 64.01, + 519.31, + 80.73, + 527.33 + ] + }, + { + "text": "emitted", + "bbox_points": [ + 83.11, + 519.31, + 110.17, + 527.33 + ] + }, + { + "text": "(kg/year)", + "bbox_points": [ + 112.48, + 519.31, + 145.25, + 527.33 + ] + }, + { + "text": "252,048", + "bbox_points": [ + 201.77, + 519.31, + 230.27, + 527.33 + ] + }, + { + "text": "80,269", + "bbox_points": [ + 315.5, + 519.31, + 339.58, + 527.33 + ] + }, + { + "text": "160,476", + "bbox_points": [ + 468.4, + 519.31, + 496.89, + 527.33 + ] + } + ] + }, + { + "text": "IRR (%) and PB (year) IRR (%): 21.9 IRR (%): 26.4", + "bbox_points": [ + 64.01, + 533.31, + 511.37, + 541.33 + ], + "words": [ + { + "text": "IRR", + "bbox_points": [ + 64.01, + 533.31, + 78.32, + 541.33 + ] + }, + { + "text": "(%)", + "bbox_points": [ + 80.68, + 533.31, + 93.17, + 541.33 + ] + }, + { + "text": "and", + "bbox_points": [ + 95.53, + 533.31, + 109.01, + 541.33 + ] + }, + { + "text": "PB", + "bbox_points": [ + 111.41, + 533.31, + 121.98, + 541.33 + ] + }, + { + "text": "(year)", + "bbox_points": [ + 124.33, + 533.31, + 145.31, + 541.33 + ] + }, + { + "text": "IRR", + "bbox_points": [ + 315.5, + 533.31, + 329.81, + 541.33 + ] + }, + { + "text": "(%):", + "bbox_points": [ + 332.17, + 533.31, + 346.98, + 541.33 + ] + }, + { + "text": "21.9", + "bbox_points": [ + 349.35, + 533.31, + 364.59, + 541.33 + ] + }, + { + "text": "IRR", + "bbox_points": [ + 462.28, + 533.31, + 476.59, + 541.33 + ] + }, + { + "text": "(%):", + "bbox_points": [ + 478.95, + 533.31, + 493.76, + 541.33 + ] + }, + { + "text": "26.4", + "bbox_points": [ + 496.12, + 533.31, + 511.37, + 541.33 + ] + } + ] + }, + { + "text": "PB (year): 4.5 PB (year): 3.8", + "bbox_points": [ + 315.5, + 543.8, + 511.72, + 551.82 + ], + "words": [ + { + "text": "PB", + "bbox_points": [ + 315.5, + 543.8, + 326.08, + 551.82 + ] + }, + { + "text": "(year):", + "bbox_points": [ + 328.43, + 543.8, + 351.73, + 551.82 + ] + }, + { + "text": "4.5", + "bbox_points": [ + 354.11, + 543.8, + 364.94, + 551.82 + ] + }, + { + "text": "PB", + "bbox_points": [ + 462.28, + 543.8, + 472.85, + 551.82 + ] + }, + { + "text": "(year):", + "bbox_points": [ + 475.2, + 543.8, + 498.51, + 551.82 + ] + }, + { + "text": "3.8", + "bbox_points": [ + 500.89, + 543.8, + 511.72, + 551.82 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Ramos et al. - 2025 - Contributions toward net-zero carbon in the water sector application to a case study/table_02.txt b/Media/2025/Ramos et al. - 2025 - Contributions toward net-zero carbon in the water sector application to a case study/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0617ec41f2fd9e20b7d780b435fdb62bbb12611 --- /dev/null +++ b/Media/2025/Ramos et al. - 2025 - Contributions toward net-zero carbon in the water sector application to a case study/table_02.txt @@ -0,0 +1 @@ +Economic and environmental KPIs diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_01.jpg b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4133b87a8be398195faf80928148388f3a8538b6 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:292e42004e6b0e4d6d0542aa33edd734024053bc91cfe7c81c770e227b7dcb56 +size 31574 diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_01.txt b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..decf86a1c2bcaa2781e510f7b898cc5e1b1b0aa2 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_01.txt @@ -0,0 +1 @@ +Schematic layout of a passive conventional solar still (Rubio et al. 2020). diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_02.jpg b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..040522210eba2891b5bb285c55a22ad4c0714e89 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2135887d681af2b2b855a3a645a098404d5673bb5672d6229b2799260fc109ee +size 92681 diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_02.txt b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..67f5aa72ec6e3c7491a82988ae1ff1436975f5d7 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_02.txt @@ -0,0 +1 @@ +A schematic layout of the conventional solar still with continuous water distillation using a solar PV panel-coupled water heater (Omar & Keshek 2019). diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_03.jpg b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..8c09a8e20b6ba3f4179067da9f51bbc31be5af29 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:082a3dc8c83562bb04116ddeaf8029fb8086e3fa157c0c844979c36738304496 +size 61367 diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_03.txt b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3fd28dcef5e56d4e42572561574a1063b2d27f5 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_03.txt @@ -0,0 +1 @@ +Schematic diagram of the water distillation unit. (1) Nuts and bolts, (2) condenser cover, (3) saltwater tank, (4) condenser inlet, (5) condenser pipes, (6) condenser casing, (7) condenser outlet, (8) freshwater outlet, (9) evaporator inlet, (10) connecting pipe from evaporator to condenser, (11) floating ball, (12) evaporator, (13) heating rod, (14) freshwater tank, and (15) PV panels. diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_04.jpg b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..803cc296b3423c1d46635fd0792915ac0c10fee5 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7d3f7ff18bfdae2481ee9b0372ebac658065a7b4b543d105ddf4e2cfb0387aa1 +size 181125 diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_04.txt b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..8bcb0dc21a3ecedec82e6fd9c4ef652cad3add2c --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_04.txt @@ -0,0 +1 @@ +Developed view of the developed water distillation system, which has a saline water tank, condenser, and evap- orator. (1) Nuts and bolts, (2) condenser cover, (3) saltwater tank, (4) condenser inlet, (5) condenser pipes, (6) condenser casing, (7) condenser outlet, (8) freshwater outlet, (9) evaporator inlet, (10) connecting pipe from evaporator to condenser, (11) floating ball, (12) evaporator, and (13) heating rod. diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_05.jpg b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e8cb8d35de407282e7c7e45eea60e968514bb417 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f8bf286000200e13d1b2cfe8097ce1ee1098549c08d89dde1873fc1a51278759 +size 15917 diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_05.txt b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..3253e36d4f79ad5ef4be3a75992db1a3fcf2e670 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_05.txt @@ -0,0 +1 @@ +Positions of the floating ball: (1) water inlet valve is completely opened and (2) is completely closed. V1 is the inlet water valve, and V2 is the drain valve. diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_06.jpg b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..4378f331b173bb4af1cef2447729b1dc7ed3bb7f --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:91a6e7b1aa371ce74df5d87811c8fd3b217a6f84c4396e8cfa902e1613af7cde +size 40282 diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_06.txt b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fb2d63406c9f4d1bb1089eb0cd20674d727ed47 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_06.txt @@ -0,0 +1 @@ +Accumulated distilled water as a function of time at the operation of the developed desalination unit on the 28th of May 2023. diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_07.jpg b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7b9bfba826cc4bcbf9f81b44ab1f9fff58c5e694 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3744cb4f0d2d02b5d108f119da7c6b25889e7be35aab0665e5afa6b9553bea8c +size 61148 diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_07.txt b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..37941999e3090ec8bd7dbf8bb344286d3e8c3e15 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_07.txt @@ -0,0 +1 @@ +Temperature of the evaporator and the saltwater tank, as well as the incident solar irradiance, as a function of time on the 28th of May 2023. diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_08.jpg b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..940fa6e5e966d41d03d8bc1b82f26c81dd0ea794 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:7522474f5457d6d96a224408d209b81ed87a4ce953cc1631b151e089c38fdc19 +size 58055 diff --git a/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_08.txt b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..995a7f3f67947676d01affea8ee7544f90f8e242 --- /dev/null +++ b/Media/2025/Reddy et al. - 2025 - Enhancing the efficiency of solar-powered water distillation units by utilization of waste heat/figure_08.txt @@ -0,0 +1 @@ +Accumulated heat energy input to the water distillation unit, accumulated heat energy gained by the generated freshwater, and the corresponding cumulative distillation efficiency of the unit as a function of time on the 28th of May 2023. diff --git a/Media/2025/Reddy et al. - 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"rounds", + "bbox_points": [ + 202.34, + 133.85, + 227.14, + 141.87 + ] + }, + { + "text": "N", + "bbox_points": [ + 229.49, + 133.75, + 235.91, + 141.75 + ] + } + ] + }, + { + "text": "Define server learning rate α", + "bbox_points": [ + 64.01, + 147.58, + 166.56, + 155.87 + ], + "words": [ + { + "text": "Define", + "bbox_points": [ + 64.01, + 147.58, + 88.06, + 155.87 + ] + }, + { + "text": "server", + "bbox_points": [ + 90.43, + 147.86, + 112.04, + 155.87 + ] + }, + { + "text": "learning", + "bbox_points": [ + 114.41, + 147.86, + 143.87, + 155.87 + ] + }, + { + "text": "rate", + "bbox_points": [ + 146.21, + 147.86, + 159.76, + 155.87 + ] + }, + { + "text": "α", + "bbox_points": [ + 162.14, + 147.58, + 166.56, + 155.58 + ] + } + ] + }, + { + "text": "Define client learning rate β", + "bbox_points": [ + 64.01, + 161.58, + 164.41, + 169.88 + ], + "words": [ + { + "text": "Define", + "bbox_points": [ + 64.01, + 161.58, + 88.06, + 169.88 + ] + }, + { + "text": "client", + "bbox_points": 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] + }, + { + "text": "¼", + "bbox_points": [ + 212.09, + 175.58, + 218.25, + 183.58 + ] + }, + { + "text": "1", + "bbox_points": [ + 219.8, + 175.86, + 224.21, + 183.88 + ] + }, + { + "text": "to", + "bbox_points": [ + 226.6, + 175.86, + 233.75, + 183.88 + ] + }, + { + "text": "N", + "bbox_points": [ + 236.13, + 175.76, + 242.54, + 183.76 + ] + }, + { + "text": "do", + "bbox_points": [ + 244.91, + 175.86, + 254.07, + 183.88 + ] + } + ] + }, + { + "text": "# Client Training Phase", + "bbox_points": [ + 72.0, + 189.87, + 156.5, + 197.88 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 72.0, + 189.87, + 76.33, + 197.88 + ] + }, + { + "text": "Client", + "bbox_points": [ + 78.69, + 189.87, + 100.41, + 197.88 + ] + }, + { + "text": "Training", + "bbox_points": [ + 102.79, + 189.87, + 132.91, + 197.88 + ] + }, + { + "text": "Phase", + "bbox_points": [ + 135.27, + 189.87, + 156.5, + 197.88 + ] + } + ] + }, + { + "text": "Initialize empty list for client updates client_updates", + 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231.88, + 182.92, + 239.89 + ] + } + ] + }, + { + "text": "# Server sends global model parameters to client i", + "bbox_points": [ + 79.94, + 245.88, + 259.72, + 253.89 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 79.94, + 245.88, + 84.27, + 253.89 + ] + }, + { + "text": "Server", + "bbox_points": [ + 86.68, + 245.88, + 109.72, + 253.89 + ] + }, + { + "text": "sends", + "bbox_points": [ + 112.08, + 245.88, + 132.06, + 253.89 + ] + }, + { + "text": "global", + "bbox_points": [ + 134.42, + 245.88, + 156.23, + 253.89 + ] + }, + { + "text": "model", + "bbox_points": [ + 158.57, + 245.88, + 181.05, + 253.89 + ] + }, + { + "text": "parameters", + "bbox_points": [ + 183.4, + 245.88, + 223.36, + 253.89 + ] + }, + { + "text": "to", + "bbox_points": [ + 225.53, + 245.88, + 232.68, + 253.89 + ] + }, + { + "text": "client", + "bbox_points": [ + 235.05, + 245.88, + 255.03, + 253.89 + ] + }, + { + "text": "i", + "bbox_points": [ + 257.39, + 245.88, + 259.72, + 253.89 + ] + } + ] + }, + { + "text": "θ_i ←θ_global", + "bbox_points": [ + 79.94, + 259.6, + 130.52, + 267.9 + ], + "words": [ + { + "text": "θ_i", + "bbox_points": [ + 79.94, + 259.6, + 90.29, + 267.9 + ] + }, + { + "text": "←θ_global", + "bbox_points": [ + 91.84, + 259.6, + 130.52, + 267.9 + ] + } + ] + }, + { + "text": "# Step 2: Local Training on Client Data", + "bbox_points": [ + 79.94, + 273.88, + 222.34, + 281.9 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 79.94, + 273.88, + 84.27, + 281.9 + ] + }, + { + "text": "Step", + "bbox_points": [ + 86.68, + 273.88, + 102.58, + 281.9 + ] + }, + { + "text": "2:", + "bbox_points": [ + 104.94, + 273.88, + 111.68, + 281.9 + ] + }, + { + "text": "Local", + "bbox_points": [ + 114.07, + 273.88, + 134.46, + 281.9 + ] + }, + { + "text": "Training", + "bbox_points": [ + 136.8, + 273.88, + 166.93, + 281.9 + ] + }, + { + "text": "on", + "bbox_points": [ + 169.29, + 273.88, + 178.61, + 281.9 + ] + }, + { + "text": "Client", + "bbox_points": [ + 180.97, + 273.88, + 202.69, + 281.9 + ] + }, + { + "text": "Data", + "bbox_points": [ + 205.06, + 273.88, + 222.34, + 281.9 + ] + } + ] + }, + { + "text": "# Client initializes their local LSTM model with global parameters", + "bbox_points": [ + 79.94, + 287.89, + 318.78, + 295.9 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 79.94, + 287.89, + 84.27, + 295.9 + ] + }, + { + "text": "Client", + "bbox_points": [ + 86.68, + 287.89, + 108.4, + 295.9 + ] + }, + { + "text": "initializes", + "bbox_points": [ + 110.78, + 287.89, + 145.15, + 295.9 + ] + }, + { + "text": "their", + "bbox_points": [ + 147.4, + 287.89, + 164.21, + 295.9 + ] + }, + { + "text": "local", + "bbox_points": [ + 166.57, + 287.89, + 183.96, + 295.9 + ] + }, + { + "text": "LSTM", + "bbox_points": [ + 186.3, + 287.89, + 209.11, + 295.9 + ] + }, + { + "text": "model", + "bbox_points": [ + 211.47, + 287.89, + 233.95, + 295.9 + ] + }, + { + "text": "with", + "bbox_points": [ + 236.3, + 287.89, + 252.27, + 295.9 + ] + }, + { + "text": "global", + "bbox_points": [ + 254.67, + 287.89, + 276.47, + 295.9 + ] + }, + { + "text": "parameters", + "bbox_points": [ + 278.82, + 287.89, + 318.78, + 295.9 + ] + } + ] + }, + { + "text": "local_model_i ←LSTMModel()", + "bbox_points": [ + 79.94, + 301.61, + 191.93, + 309.91 + ], + "words": [ + { + "text": "local_model_i", + "bbox_points": [ + 79.94, + 301.89, + 130.05, + 309.91 + ] + }, + { + "text": "←LSTMModel()", + "bbox_points": [ + 131.64, + 301.61, + 191.93, + 309.91 + ] + } + ] + }, + { + "text": "local_model_i.load_parameters(θ_i)", + "bbox_points": [ + 79.94, + 315.61, + 207.33, + 323.91 + ], + "words": [ + { + "text": "local_model_i.load_parameters(θ_i)", + "bbox_points": [ + 79.94, + 315.61, + 207.33, + 323.91 + ] + } + ] + }, + { + "text": "# Load client-specific data for training", + "bbox_points": [ + 79.94, + 329.62, + 216.99, + 337.91 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 79.94, + 329.9, + 84.27, + 337.91 + ] + }, + { + "text": "Load", + "bbox_points": [ + 86.68, + 329.9, + 105.32, + 337.91 + ] + }, + { + "text": "client-specific", + "bbox_points": [ + 107.66, + 329.62, + 156.62, + 337.91 + ] + }, + { + "text": "data", + "bbox_points": [ + 159.02, + 329.9, + 174.32, + 337.91 + ] + }, + { + "text": "for", + "bbox_points": [ + 176.54, + 329.9, + 186.77, + 337.91 + ] + }, + { + "text": "training", + "bbox_points": [ + 189.13, + 329.9, + 216.99, + 337.91 + ] + } + ] + }, + { + "text": "X_train_i, y_train_i ←ClientData(i)", + "bbox_points": [ + 79.94, + 343.62, + 205.72, + 351.92 + ], + "words": [ + { + "text": "X_train_i,", + "bbox_points": [ + 79.94, + 343.9, + 115.03, + 351.92 + ] + }, + { + "text": "y_train_i", + "bbox_points": [ + 117.41, + 343.9, + 148.52, + 351.92 + ] + }, + { + "text": "←ClientData(i)", + "bbox_points": [ + 150.07, + 343.62, + 205.72, + 351.92 + ] + } + ] + }, + { + "text": "# Train the local model on client i’s data", + "bbox_points": [ + 79.94, + 357.62, + 225.57, + 365.92 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 79.94, + 357.9, + 84.27, + 365.92 + ] + }, + { + "text": "Train", + "bbox_points": [ + 86.68, + 357.9, + 105.68, + 365.92 + ] + }, + { + "text": "the", + "bbox_points": [ + 108.11, + 357.9, + 119.43, + 365.92 + ] + }, + { + "text": "local", + "bbox_points": [ + 121.78, + 357.9, + 139.17, + 365.92 + ] + }, + { + "text": "model", + "bbox_points": [ + 141.56, + 357.9, + 164.04, + 365.92 + ] + }, + { + "text": "on", + "bbox_points": [ + 166.39, + 357.9, + 175.71, + 365.92 + ] + }, + { + "text": "client", + "bbox_points": [ + 178.07, + 357.9, + 198.05, + 365.92 + ] + }, + { + "text": "i’s", + "bbox_points": [ + 200.41, + 357.62, + 207.88, + 365.92 + ] + }, + { + "text": "data", + "bbox_points": [ + 210.27, + 357.9, + 225.57, + 365.92 + ] + } + ] + }, + { + "text": "local_model_i.train(X_train_i, y_train_i, learning_rate ¼ β)", + "bbox_points": [ + 79.94, + 371.63, + 287.34, + 379.92 + ], + "words": [ + { + "text": "local_model_i.train(X_train_i,", + "bbox_points": [ + 79.94, + 371.91, + 186.63, + 379.92 + ] + }, + { + "text": "y_train_i,", + "bbox_points": [ + 189.02, + 371.91, + 222.12, + 379.92 + ] + }, + { + "text": "learning_rate", + "bbox_points": [ + 224.45, + 371.91, + 271.45, + 379.92 + ] + }, + { + "text": "¼", + "bbox_points": [ + 272.98, + 371.63, + 279.14, + 379.63 + ] + }, + { + "text": "β)", + "bbox_points": [ + 280.69, + 371.63, + 287.34, + 379.92 + ] + } + ] + }, + { + "text": "# Step 3: Client Sends Model Updates to Server", + "bbox_points": [ + 79.94, + 385.85, + 251.62, + 393.87 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 79.94, + 385.85, + 84.27, + 393.87 + ] + }, + { + "text": "Step", + "bbox_points": [ + 86.68, + 385.85, + 102.58, + 393.87 + ] + }, + { + "text": "3:", + "bbox_points": [ + 104.94, + 385.85, + 111.68, + 393.87 + ] + }, + { + "text": "Client", + "bbox_points": [ + 114.07, + 385.85, + 135.79, + 393.87 + ] + }, + { + "text": "Sends", + "bbox_points": [ + 138.16, + 385.85, + 159.55, + 393.87 + ] + }, + { + "text": "Model", + "bbox_points": [ + 161.92, + 385.85, + 185.14, + 393.87 + ] + }, + { + "text": "Updates", + "bbox_points": [ + 187.48, + 385.85, + 216.83, + 393.87 + ] + }, + { + "text": "to", + "bbox_points": [ + 219.01, + 385.85, + 226.16, + 393.87 + ] + }, + { + "text": "Server", + "bbox_points": [ + 228.59, + 385.85, + 251.62, + 393.87 + ] + } + ] + }, + { + "text": "# Client i sends the updated model parameters to the server", + "bbox_points": [ + 79.94, + 399.86, + 294.37, + 407.87 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 79.94, + 399.86, + 84.27, + 407.87 + ] + }, + { + "text": "Client", + "bbox_points": [ + 86.68, + 399.86, + 108.4, + 407.87 + ] + }, + { + "text": "i", + "bbox_points": [ + 110.78, + 399.86, + 113.11, + 407.87 + ] + }, + { + "text": "sends", + "bbox_points": [ + 115.48, + 399.86, + 135.46, + 407.87 + ] + }, + { + "text": "the", + "bbox_points": [ + 137.65, + 399.86, + 148.97, + 407.87 + ] + }, + { + "text": "updated", + "bbox_points": [ + 151.37, + 399.86, + 180.21, + 407.87 + ] + }, + { + "text": "model", + "bbox_points": [ + 182.55, + 399.86, + 205.03, + 407.87 + ] + }, + { + "text": "parameters", + "bbox_points": [ + 207.38, + 399.86, + 247.34, + 407.87 + ] + }, + { + "text": "to", + "bbox_points": [ + 249.51, + 399.86, + 256.66, + 407.87 + ] + }, + { + "text": "the", + "bbox_points": [ + 259.03, + 399.86, + 270.35, + 407.87 + ] + }, + { + "text": "server", + "bbox_points": [ + 272.75, + 399.86, + 294.37, + 407.87 + ] + } + ] + }, + { + "text": "θ_i_updated ←local_model_i.get_parameters()", + "bbox_points": [ + 79.94, + 413.58, + 245.57, + 421.87 + ], + "words": [ + { + "text": "θ_i_updated", + "bbox_points": [ + 79.94, + 413.58, + 123.06, + 421.87 + ] + }, + { + "text": "←local_model_i.get_parameters()", + "bbox_points": [ + 124.67, + 413.58, + 245.57, + 421.87 + ] + } + ] + }, + { + "text": "Append θ_i_updated to client_updates", + "bbox_points": [ + 79.94, + 427.58, + 217.34, + 435.88 + ], + "words": [ + { + "text": "Append", + "bbox_points": [ + 79.94, + 427.86, + 108.41, + 435.88 + ] + }, + { + "text": "θ_i_updated", + "bbox_points": [ + 110.78, + 427.58, + 153.9, + 435.88 + ] + }, + { + "text": "to", + "bbox_points": [ + 156.25, + 427.86, + 163.4, + 435.88 + ] + }, + { + "text": "client_updates", + "bbox_points": [ + 165.83, + 427.86, + 217.34, + 435.88 + ] + } + ] + }, + { + "text": "end for", + "bbox_points": [ + 72.0, + 441.86, + 97.88, + 449.88 + ], + "words": [ + { + "text": "end", + "bbox_points": [ + 72.0, + 441.86, + 85.32, + 449.88 + ] + }, + { + "text": "for", + "bbox_points": [ + 87.65, + 441.86, + 97.88, + 449.88 + ] + } + ] + }, + { + "text": "# Server Aggregation Phase", + "bbox_points": [ + 72.0, + 458.87, + 170.84, + 466.89 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 72.0, + 458.87, + 76.33, + 466.89 + ] + }, + { + "text": "Server", + "bbox_points": [ + 78.69, + 458.87, + 101.72, + 466.89 + ] + }, + { + "text": "Aggregation", + "bbox_points": [ + 104.09, + 458.87, + 147.23, + 466.89 + ] + }, + { + "text": "Phase", + "bbox_points": [ + 149.61, + 458.87, + 170.84, + 466.89 + ] + } + ] + }, + { + "text": "# Step 4: Aggregate Updates from Clients", + "bbox_points": [ + 72.0, + 472.88, + 220.18, + 480.89 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 72.0, + 472.88, + 76.33, + 480.89 + ] + }, + { + "text": "Step", + "bbox_points": [ + 78.69, + 472.88, + 94.59, + 480.89 + ] + }, + { + "text": "4:", + "bbox_points": [ + 96.94, + 472.88, + 103.69, + 480.89 + ] + }, + { + "text": "Aggregate", + "bbox_points": [ + 106.07, + 472.88, + 141.56, + 480.89 + ] + }, + { + "text": "Updates", + "bbox_points": [ + 143.94, + 472.88, + 173.29, + 480.89 + ] + }, + { + "text": "from", + "bbox_points": [ + 175.69, + 472.88, + 192.77, + 480.89 + ] + }, + { + "text": "Clients", + "bbox_points": [ + 195.14, + 472.88, + 220.18, + 480.89 + ] + } + ] + }, + { + "text": "# Server aggregates model updates from all clients to create a new global model", + "bbox_points": [ + 72.0, + 486.88, + 358.16, + 494.89 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 72.0, + 486.88, + 76.33, + 494.89 + ] + }, + { + "text": "Server", + "bbox_points": [ + 78.69, + 486.88, + 101.72, + 494.89 + ] + }, + { + "text": "aggregates", + "bbox_points": [ + 103.92, + 486.88, + 140.92, + 494.89 + ] + }, + { + "text": "model", + "bbox_points": [ + 143.32, + 486.88, + 165.8, + 494.89 + ] + }, + { + "text": "updates", + "bbox_points": [ + 168.15, + 486.88, + 195.74, + 494.89 + ] + }, + { + "text": "from", + "bbox_points": [ + 198.14, + 486.88, + 215.16, + 494.89 + ] + }, + { + "text": "all", + "bbox_points": [ + 217.53, + 486.88, + 226.35, + 494.89 + ] + }, + { + "text": "clients", + "bbox_points": [ + 228.76, + 486.88, + 252.06, + 494.89 + ] + }, + { + "text": "to", + "bbox_points": [ + 254.27, + 486.88, + 261.42, + 494.89 + ] + }, + { + "text": "create", + "bbox_points": [ + 263.79, + 486.88, + 285.34, + 494.89 + ] + }, + { + "text": "a", + "bbox_points": [ + 287.72, + 486.88, + 291.88, + 494.89 + ] + }, + { + "text": "new", + "bbox_points": [ + 294.24, + 486.88, + 309.13, + 494.89 + ] + }, + { + "text": "global", + "bbox_points": [ + 311.53, + 486.88, + 333.34, + 494.89 + ] + }, + { + "text": "model", + "bbox_points": [ + 335.68, + 486.88, + 358.16, + 494.89 + ] + } + ] + }, + { + "text": "θ_global ←AggregateModelUpdates(client_updates)", + "bbox_points": [ + 72.0, + 500.6, + 257.16, + 508.9 + ], + "words": [ + { + "text": "θ_global", + "bbox_points": [ + 72.0, + 500.6, + 101.78, + 508.9 + ] + }, + { + "text": "←AggregateModelUpdates(client_updates)", + "bbox_points": [ + 103.29, + 500.6, + 257.16, + 508.9 + ] + } + ] + }, + { + "text": "# Step 5: Update Global Model Parameters (Optional)", + "bbox_points": [ + 72.0, + 514.88, + 267.27, + 522.9 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 72.0, + 514.88, + 76.33, + 522.9 + ] + }, + { + "text": "Step", + "bbox_points": [ + 78.69, + 514.88, + 94.59, + 522.9 + ] + }, + { + "text": "5:", + "bbox_points": [ + 96.94, + 514.88, + 103.69, + 522.9 + ] + }, + { + "text": "Update", + "bbox_points": [ + 106.07, + 514.88, + 132.09, + 522.9 + ] + }, + { + "text": "Global", + "bbox_points": [ + 134.48, + 514.88, + 159.03, + 522.9 + ] + }, + { + "text": "Model", + "bbox_points": [ + 161.4, + 514.88, + 184.63, + 522.9 + ] + }, + { + "text": "Parameters", + "bbox_points": [ + 186.97, + 514.88, + 227.16, + 522.9 + ] + }, + { + "text": "(Optional)", + "bbox_points": [ + 229.49, + 514.88, + 267.27, + 522.9 + ] + } + ] + }, + { + "text": "# Update θ_global by applying learning rate α if necessary", + "bbox_points": [ + 72.0, + 528.61, + 279.41, + 536.9 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 72.0, + 528.89, + 76.33, + 536.9 + ] + }, + { + "text": "Update", + "bbox_points": [ + 78.69, + 528.89, + 104.71, + 536.9 + ] + }, + { + "text": "θ_global", + "bbox_points": [ + 107.09, + 528.61, + 136.87, + 536.9 + ] + }, + { + "text": "by", + "bbox_points": [ + 139.24, + 528.89, + 147.65, + 536.9 + ] + }, + { + "text": "applying", + "bbox_points": [ + 149.84, + 528.89, + 180.55, + 536.9 + ] + }, + { + "text": "learning", + "bbox_points": [ + 182.89, + 528.89, + 212.36, + 536.9 + ] + }, + { + "text": "rate", + "bbox_points": [ + 214.7, + 528.89, + 228.25, + 536.9 + ] + }, + { + "text": "α", + "bbox_points": [ + 230.68, + 528.61, + 235.1, + 536.61 + ] + }, + { + "text": "if", + "bbox_points": [ + 237.49, + 528.89, + 242.31, + 536.9 + ] + }, + { + "text": "necessary", + "bbox_points": [ + 244.69, + 528.89, + 279.41, + 536.9 + ] + } + ] + }, + { + "text": "θ_global ←θ_global α*∇Loss(θ_global)", + "bbox_points": [ + 72.0, + 542.61, + 217.67, + 550.91 + ], + "words": [ + { + "text": "θ_global", + "bbox_points": [ + 72.0, + 542.61, + 101.78, + 550.91 + ] + }, + { + "text": "←θ_global", + "bbox_points": [ + 103.3, + 542.61, + 141.97, + 550.91 + ] + }, + { + "text": "α*∇Loss(θ_global)", + "bbox_points": [ + 151.2, + 542.61, + 217.67, + 550.91 + ] + } + ] + }, + { + "text": "end for", + "bbox_points": [ + 64.01, + 556.89, + 89.94, + 564.91 + ], + "words": [ + { + "text": "end", + "bbox_points": [ + 64.01, + 556.89, + 77.33, + 564.91 + ] + }, + { + "text": "for", + "bbox_points": [ + 79.71, + 556.89, + 89.94, + 564.91 + ] + } + ] + }, + { + "text": "# Model Evaluation and Deployment", + "bbox_points": [ + 64.01, + 573.9, + 197.7, + 581.92 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 64.01, + 573.9, + 68.34, + 581.92 + ] + }, + { + "text": "Model", + "bbox_points": [ + 70.7, + 573.9, + 93.92, + 581.92 + ] + }, + { + "text": "Evaluation", + "bbox_points": [ + 96.32, + 573.9, + 135.21, + 581.92 + ] + }, + { + "text": "and", + "bbox_points": [ + 137.6, + 573.9, + 151.08, + 581.92 + ] + }, + { + "text": "Deployment", + "bbox_points": [ + 153.41, + 573.9, + 197.7, + 581.92 + ] + } + ] + }, + { + "text": "# Evaluate the global LSTM model performance on a centralized validation dataset", + "bbox_points": [ + 64.01, + 587.9, + 363.83, + 595.92 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 64.01, + 587.9, + 68.34, + 595.92 + ] + }, + { + "text": "Evaluate", + "bbox_points": [ + 70.7, + 587.9, + 101.99, + 595.92 + ] + }, + { + "text": "the", + "bbox_points": [ + 104.37, + 587.9, + 115.69, + 595.92 + ] + }, + { + "text": "global", + "bbox_points": [ + 118.04, + 587.9, + 139.84, + 595.92 + ] + }, + { + "text": "LSTM", + "bbox_points": [ + 142.24, + 587.9, + 165.06, + 595.92 + ] + }, + { + "text": "model", + "bbox_points": [ + 167.36, + 587.9, + 189.84, + 595.92 + ] + }, + { + "text": "performance", + "bbox_points": [ + 192.19, + 587.9, + 237.99, + 595.92 + ] + }, + { + "text": "on", + "bbox_points": [ + 240.38, + 587.9, + 249.7, + 595.92 + ] + }, + { + "text": "a", + "bbox_points": [ + 252.06, + 587.9, + 256.22, + 595.92 + ] + }, + { + "text": "centralized", + "bbox_points": [ + 258.47, + 587.9, + 298.11, + 595.92 + ] + }, + { + "text": "validation", + "bbox_points": [ + 300.47, + 587.9, + 336.24, + 595.92 + ] + }, + { + "text": "dataset", + "bbox_points": [ + 338.63, + 587.9, + 363.83, + 595.92 + ] + } + ] + }, + { + "text": "Evaluate global LSTM model performance on validation data", + "bbox_points": [ + 64.01, + 601.85, + 285.1, + 609.87 + ], + "words": [ + { + "text": "Evaluate", + "bbox_points": [ + 64.01, + 601.85, + 95.25, + 609.87 + ] + }, + { + "text": "global", + "bbox_points": [ + 97.63, + 601.85, + 119.44, + 609.87 + ] + }, + { + "text": "LSTM", + "bbox_points": [ + 121.78, + 601.85, + 144.59, + 609.87 + ] + }, + { + "text": "model", + "bbox_points": [ + 146.95, + 601.85, + 169.43, + 609.87 + ] + }, + { + "text": "performance", + "bbox_points": [ + 171.78, + 601.85, + 217.58, + 609.87 + ] + }, + { + "text": "on", + "bbox_points": [ + 219.97, + 601.85, + 229.29, + 609.87 + ] + }, + { + "text": "validation", + "bbox_points": [ + 231.65, + 601.85, + 267.42, + 609.87 + ] + }, + { + "text": "data", + "bbox_points": [ + 269.8, + 601.85, + 285.1, + 609.87 + ] + } + ] + }, + { + "text": "# Deploy the final global LSTM model for real-time water quality classification Deploy global LSTM model", + "bbox_points": [ + 64.01, + 615.57, + 449.55, + 623.87 + ], + "words": [ + { + "text": "#", + "bbox_points": [ + 64.01, + 615.85, + 68.34, + 623.87 + ] + }, + { + "text": "Deploy", + "bbox_points": [ + 70.7, + 615.85, + 96.75, + 623.87 + ] + }, + { + "text": "the", + "bbox_points": [ + 99.1, + 615.85, + 110.42, + 623.87 + ] + }, + { + "text": "final", + "bbox_points": [ + 112.82, + 615.57, + 128.82, + 623.87 + ] + }, + { + "text": "global", + "bbox_points": [ + 131.19, + 615.85, + 153.0, + 623.87 + ] + }, + { + "text": "LSTM", + "bbox_points": [ + 155.34, + 615.85, + 178.16, + 623.87 + ] + }, + { + "text": "model", + "bbox_points": [ + 180.51, + 615.85, + 202.99, + 623.87 + ] + }, + { + "text": "for", + "bbox_points": [ + 205.34, + 615.85, + 215.58, + 623.87 + ] + }, + { + "text": "real-time", + "bbox_points": [ + 217.93, + 615.85, + 249.41, + 623.87 + ] + }, + { + "text": "water", + "bbox_points": [ + 251.55, + 615.85, + 271.43, + 623.87 + ] + }, + { + "text": "quality", + "bbox_points": [ + 273.83, + 615.85, + 298.21, + 623.87 + ] + }, + { + "text": "classification", + "bbox_points": [ + 300.59, + 615.57, + 346.96, + 623.87 + ] + }, + { + "text": "Deploy", + "bbox_points": [ + 349.34, + 615.85, + 375.4, + 623.87 + ] + }, + { + "text": "global", + "bbox_points": [ + 377.75, + 615.85, + 399.55, + 623.87 + ] + }, + { + "text": "LSTM", + "bbox_points": [ + 401.9, + 615.85, + 424.71, + 623.87 + ] + }, + { + "text": "model", + "bbox_points": [ + 427.07, + 615.85, + 449.55, + 623.87 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Rejula et al. - 2025 - Decentralized water quality classification using federated learning with recurrent neural networks/table_01.txt b/Media/2025/Rejula et al. - 2025 - Decentralized water quality classification using federated learning with recurrent neural networks/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..ffedaadb3540557793d2fd5720d32b7b18e90cc8 --- /dev/null +++ b/Media/2025/Rejula et al. - 2025 - Decentralized water quality classification using federated learning with recurrent neural networks/table_01.txt @@ -0,0 +1 @@ +Psuedo code: FL with LSTM pseudocode diff --git a/Media/2025/Rezai et al. - 2025 - Optimizing the operation of series and parallel reservoirs using the neutrosophic environment A cas/figure_01.jpg b/Media/2025/Rezai et al. - 2025 - Optimizing the operation of series and parallel reservoirs using the neutrosophic environment A cas/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..eaad0a730ade2332dfd9d8866f5cdac7b465b62c --- /dev/null +++ b/Media/2025/Rezai et al. - 2025 - Optimizing the operation of series and parallel reservoirs using the neutrosophic environment A cas/figure_01.jpg @@ -0,0 +1,3 @@ +version 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RSC ¼ 1=3, j diff --git "a/Media/2025/Rodr\303\255guez-Carrillo et al. - 2025 - Spatial rainfall estimation applying machine learning techniques in a semi-arid basin/figure_01.jpg" "b/Media/2025/Rodr\303\255guez-Carrillo et al. - 2025 - Spatial rainfall estimation applying machine learning techniques in a semi-arid basin/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..48f090cd2d897d74092fa620131952d62fa38228 --- /dev/null +++ "b/Media/2025/Rodr\303\255guez-Carrillo et al. - 2025 - Spatial rainfall estimation applying machine learning techniques in a semi-arid basin/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0eb7058b6aaa230bbf945ce52a6e1e25dddc418077d89f9a2481bc594715d8fa +size 179201 diff --git "a/Media/2025/Rodr\303\255guez-Carrillo et al. - 2025 - Spatial rainfall estimation applying machine learning techniques in a semi-arid basin/figure_01.txt" "b/Media/2025/Rodr\303\255guez-Carrillo et al. - 2025 - 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Which changes would have to", + "bbox_points": [ + 51.42, + 398.61, + 536.61, + 406.9 + ], + "words": [ + { + "text": "–", + "bbox_points": [ + 51.42, + 398.61, + 55.42, + 406.61 + ] + }, + { + "text": "What", + "bbox_points": [ + 57.83, + 398.89, + 77.41, + 406.9 + ] + }, + { + "text": "are", + "bbox_points": [ + 79.82, + 398.89, + 90.97, + 406.9 + ] + }, + { + "text": "the", + "bbox_points": [ + 93.37, + 398.89, + 104.69, + 406.9 + ] + }, + { + "text": "causes", + "bbox_points": [ + 107.03, + 398.89, + 130.43, + 406.9 + ] + }, + { + "text": "for", + "bbox_points": [ + 132.77, + 398.89, + 143.01, + 406.9 + ] + }, + { + "text": "trenchless", + "bbox_points": [ + 145.42, + 398.89, + 181.44, + 406.9 + ] + }, + { + "text": "technologies", + "bbox_points": [ + 183.63, + 398.89, + 228.73, + 406.9 + ] + }, + { + "text": "not", + "bbox_points": [ + 231.13, + 398.89, + 243.03, + 406.9 + ] + }, + { + "text": "being", + "bbox_points": [ + 245.37, + 398.89, + 264.85, + 406.9 + ] + }, + { + "text": "used", + "bbox_points": [ + 267.25, + 398.89, + 283.73, + 406.9 + ] + }, + { + "text": "more", + "bbox_points": [ + 286.07, + 398.89, + 304.64, + 406.9 + ] + }, + { + "text": "extensively", + "bbox_points": [ + 306.99, + 398.89, + 346.23, + 406.9 + ] + }, + { + "text": "in", + "bbox_points": [ + 348.6, + 398.89, + 355.67, + 406.9 + ] + }, + { + "text": "your", + "bbox_points": [ + 358.07, + 398.89, + 374.18, + 406.9 + ] + }, + { + "text": "organisation?", + "bbox_points": [ + 376.44, + 398.89, + 425.46, + 406.9 + ] + }, + { + "text": "Which", + "bbox_points": [ + 427.86, + 398.89, + 452.0, + 406.9 + ] + }, + { + "text": "changes", + "bbox_points": [ + 454.34, + 398.89, + 483.31, + 406.9 + ] + }, + { + "text": "would", + "bbox_points": [ + 485.63, + 398.89, + 508.01, + 406.9 + ] + }, + { + "text": "have", + "bbox_points": [ + 510.4, + 398.89, + 527.1, + 406.9 + ] + }, + { + "text": "to", + "bbox_points": [ + 529.45, + 398.89, + 536.61, + 406.9 + ] + } + ] + }, + { + "text": "happen for you to employ trenchless technologies more?", + "bbox_points": [ + 57.83, + 409.37, + 262.1, + 417.39 + ], + "words": [ + { + "text": "happen", + "bbox_points": [ + 57.83, + 409.37, + 84.63, + 417.39 + ] + }, + { + "text": "for", + "bbox_points": [ + 86.97, + 409.37, + 97.2, + 417.39 + ] + }, + { + "text": "you", + "bbox_points": [ + 99.55, + 409.37, + 112.56, + 417.39 + ] + }, + { + "text": "to", + "bbox_points": [ + 114.92, + 409.37, + 122.07, + 417.39 + ] + }, + { + "text": "employ", + "bbox_points": [ + 124.5, + 409.37, + 150.98, + 417.39 + ] + }, + { + "text": "trenchless", + "bbox_points": [ + 153.3, + 409.37, + 189.32, + 417.39 + ] + }, + { + "text": "technologies", + "bbox_points": [ + 191.51, + 409.37, + 236.63, + 417.39 + ] + }, + { + "text": "more?", + "bbox_points": [ + 239.02, + 409.37, + 262.1, + 417.39 + ] + } + ] + }, + { + "text": "– Should the trenchless technology market share be larger in Norway? 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salinization risks under climate change FEFLOW model application in Cebala Borj/figure_02.txt @@ -0,0 +1 @@ +Location of piezometers in 1990. diff --git a/Media/2025/Rzigui et al. - 2025 - Shallow groundwater salinization risks under climate change FEFLOW model application in Cebala Borj/figure_03.jpg b/Media/2025/Rzigui et al. - 2025 - Shallow groundwater salinization risks under climate change FEFLOW model application in Cebala Borj/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..541be426ac93c985444a1491ac142f0933c8b04d --- /dev/null +++ b/Media/2025/Rzigui et al. - 2025 - Shallow groundwater salinization risks under climate change FEFLOW model application in Cebala Borj/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6cbcb329031b006e13f5af34021fd1bf30b053f1ec81e378e7fd32fce15be56a +size 67622 diff --git a/Media/2025/Rzigui et al. - 2025 - Shallow groundwater salinization risks under climate change FEFLOW model 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0000000000000000000000000000000000000000..8a2fbf45b7164771ae18d449a412692dbe84b6d7 --- /dev/null +++ b/Media/2025/Salubi et al. - 2025 - Climate change and waterborne diseases in temperate regions a systematic review/table_03.txt @@ -0,0 +1 @@ +Waterborne diseases identified in included studies diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_01.jpg b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..644264ca54357d4efebf96b5f1fd8b26814f1b15 --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1541fab825eb63e83a68480d728dcf5d1ac174f6e761557c4f4ebfc2efb1803d +size 108198 diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_01.txt b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..f5565d830fecca875f92607bbb6875ec97fd675c --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_01.txt @@ -0,0 +1 @@ +The structure of the research is presented with oval boxes representing the start and end points, rectangular boxes denoting the different methodological steps, and parallelograms indicating the analysis stages. diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_02.jpg b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0cd32705125d6f42b4ecf521b52c6a18bf8bbfe7 --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:41af25389867e7bb0e45afdba6132afd613cf721f0c13f6296a8fadee3a13ef2 +size 98580 diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_02.txt b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e6d9c6f3113b92cb040a34894cd6bce88118a80 --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_02.txt @@ -0,0 +1 @@ +Calculation of demand EBCQ. The figure was revised for valve-based criticality from Satish et al. (2024). diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_03.jpg b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e20e9f964c9bea7701b9a8c6f6b7bbdbfe9fc39e --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:635ddc5e1d274c5d73af7a9ba3ed1e99f7eab61f36b3277010362ea57fbc9382 +size 123307 diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_03.txt b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..70a47daa77e1b5077522a87313b2742f6f968137 --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_03.txt @@ -0,0 +1 @@ +GBFM calculation method. The figure was revised for valve-based criticality from Satish et al. (2024). diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_04.jpg b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..754992ec7251b0bfd93c89a11347d03ce02b57b0 --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:28fa8dce8f773d8555673054e1a15b7db4537c0cd0b8e60e0da9b01daae5ea96 +size 99906 diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_04.txt b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d4e16a7e2a4eb66c182e8f7f685fa6c3207df53 --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_04.txt @@ -0,0 +1 @@ +Eigenvector centrality calculation process to identify critical valves. diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_05.jpg b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f0ec7432a30747e5cfe77df5c50cb4c7a4244e96 --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3311d1619d57a70aeed03604a5e65018009d535a875fba9ba1eb9897fe7cba1d +size 32155 diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_05.txt b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..59b8adb080851d4053903028448676a4825d64b9 --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_05.txt @@ -0,0 +1 @@ +Middle Eastern and Alpine WDNs with larger black dots representing the valves. The networks are visually altered due to data protection. diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_06.jpg b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5307e213000e6990e636005fdf0ff0a599bda782 --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8f976c97ee03b07378dd648ed915bb067c6c4caf882082f90739488a4f869b43 +size 160340 diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_06.txt b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..6458eb1dcaa21a2350229566462c71a81aa5e182 --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_06.txt @@ -0,0 +1 @@ +Eigenvector values and rankings for the two case studies. diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_07.jpg b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9d2e060279ba7f23c80ae0b4ab282a0904377389 --- /dev/null +++ b/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c07d6016a06c3e01395f7867934ba0a592e5bffd2bf9cd0ee06cc091229e9a23 +size 86168 diff --git a/Media/2025/Satish et al. - 2025 - Time-efficient criticality analysis and placement of isolation valves with graph-based approaches in/figure_07.txt b/Media/2025/Satish et al. - 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"bbox_points": [ + 506.15, + 114.58, + 512.06, + 122.58 + ] + } + ] + }, + { + "text": "Multipipe failure ✓ ✓", + "bbox_points": [ + 43.43, + 128.59, + 512.06, + 136.88 + ], + "words": [ + { + "text": "Multipipe", + "bbox_points": [ + 43.43, + 128.87, + 78.46, + 136.88 + ] + }, + { + "text": "failure", + "bbox_points": [ + 80.84, + 128.87, + 103.67, + 136.88 + ] + }, + { + "text": "✓", + "bbox_points": [ + 202.73, + 128.59, + 208.64, + 136.59 + ] + }, + { + "text": "✓", + "bbox_points": [ + 506.15, + 128.59, + 512.06, + 136.59 + ] + } + ] + }, + { + "text": "Single-pipe leakage ✓ ✓ ✓", + "bbox_points": [ + 43.43, + 142.59, + 512.06, + 150.88 + ], + "words": [ + { + "text": "Single-pipe", + "bbox_points": [ + 43.43, + 142.87, + 83.13, + 150.88 + ] + }, + { + "text": "leakage", + "bbox_points": [ + 85.49, + 142.87, + 112.62, + 150.88 + ] + }, + { + "text": "✓", + "bbox_points": [ + 202.73, + 142.59, + 208.64, + 150.59 + ] + }, + { + "text": "✓", + "bbox_points": [ + 369.58, + 142.59, + 375.49, + 150.59 + ] + }, + { + "text": "✓", + "bbox_points": [ + 506.15, + 142.59, + 512.06, + 150.59 + ] + } + ] + }, + { + "text": "Segment failure ✓ ✓", + "bbox_points": [ + 43.43, + 156.59, + 512.06, + 164.89 + ], + "words": [ + { + "text": "Segment", + "bbox_points": [ + 43.43, + 156.87, + 74.49, + 164.89 + ] + }, + { + "text": "failure", + "bbox_points": [ + 76.82, + 156.87, + 99.7, + 164.89 + ] + }, + { + "text": "✓", + "bbox_points": [ + 202.73, + 156.59, + 208.64, + 164.59 + ] + }, + { + "text": "✓", + "bbox_points": [ + 506.15, + 156.59, + 512.06, + 164.59 + ] + } + ] + }, + { + "text": "Valve failure ✓ ✓ ✓", + "bbox_points": [ + 43.43, + 170.6, + 512.06, + 178.89 + ], + "words": [ + { + "text": "Valve", + "bbox_points": [ + 43.43, + 170.88, + 63.75, + 178.89 + ] + }, + { + "text": "failure", + "bbox_points": [ + 66.1, + 170.88, + 88.98, + 178.89 + ] + }, + { + "text": "✓", + "bbox_points": [ + 202.73, + 170.6, + 208.64, + 178.59 + ] + }, + { + "text": "✓", + "bbox_points": [ + 369.58, + 170.6, + 375.49, + 178.59 + ] + }, + { + "text": "✓", + "bbox_points": [ + 506.15, + 170.6, + 512.06, + 178.59 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Media/2025/Satish et al. - 2025 - Water management resilience analysis tool \342\200\223 a software for criticality analysis in water distributio/table_02.txt" "b/Media/2025/Satish et al. - 2025 - Water management resilience analysis tool \342\200\223 a software for criticality analysis in water distributio/table_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..e2e3b5cf321eda0d30575991a42629a64986b333 --- /dev/null +++ "b/Media/2025/Satish et al. - 2025 - Water management resilience analysis tool \342\200\223 a software for criticality analysis in water distributio/table_02.txt" @@ -0,0 +1 @@ +The available visual and export format options that can be exported from the software application for each analysis component diff --git "a/Media/2025/Satish et al. - 2025 - Water management resilience analysis tool \342\200\223 a software for criticality analysis in water distributio/table_03.jpg" "b/Media/2025/Satish et al. - 2025 - Water management resilience analysis tool \342\200\223 a software for criticality analysis in water distributio/table_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..357e83533208091cf0c7add382b9a1689a0ef6ed --- /dev/null +++ "b/Media/2025/Satish et al. - 2025 - Water management resilience analysis tool \342\200\223 a software for criticality analysis in water distributio/table_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:cf532b94b3e2490568b1f760e5e376469865c276e7061e6757956323191a5063 +size 108303 diff --git "a/Media/2025/Satish et al. - 2025 - Water management resilience analysis tool \342\200\223 a software for criticality analysis in water distributio/table_03.json" "b/Media/2025/Satish et al. - 2025 - Water management resilience analysis tool \342\200\223 a software for criticality analysis in water distributio/table_03.json" new file mode 100644 index 0000000000000000000000000000000000000000..bd654f4cda00ca38a051472a0b57ae82e29cffe1 --- /dev/null +++ "b/Media/2025/Satish et al. - 2025 - Water management resilience analysis tool \342\200\223 a software for criticality analysis in water distributio/table_03.json" @@ -0,0 +1,1877 @@ +{ + "kind": "table", + "label": "table_03", + "number": 3, + "caption": "WDN network data and WDN utilization in the WMRAT software", + "page": 8, + "table_bbox_points": [ + 40.43, + 85.16, + 548.44, + 427.0 + ], + "caption_bbox_points": [ + 43.43, + 76.93, + 311.97, + 85.16 + ], + "position_relative_to_caption": "below", + "crop_method": "ruled_table", + "structure_extracted": false, + "detected_table_bbox_points": null, + "row_count": 24, + "column_count": null, + "cells": null, + "text_rows": [ + { + "text": "WDN Artificial WDN Real-world WDN Benchmark WDN", + "bbox_points": [ + 43.43, + 99.68, + 545.44, + 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"bbox_points": [ + 258.69, + 405.35, + 286.33, + 413.37 + ] + } + ] + }, + { + "text": "separating human excreta from human", + "bbox_points": [ + 150.4, + 415.84, + 289.52, + 423.85 + ], + "words": [ + { + "text": "separating", + "bbox_points": [ + 150.4, + 415.84, + 187.01, + 423.85 + ] + }, + { + "text": "human", + "bbox_points": [ + 189.41, + 415.84, + 214.63, + 423.85 + ] + }, + { + "text": "excreta", + "bbox_points": [ + 216.96, + 415.84, + 242.66, + 423.85 + ] + }, + { + "text": "from", + "bbox_points": [ + 244.91, + 415.84, + 261.93, + 423.85 + ] + }, + { + "text": "human", + "bbox_points": [ + 264.3, + 415.84, + 289.52, + 423.85 + ] + } + ] + }, + { + "text": "contact", + "bbox_points": [ + 150.4, + 426.33, + 176.82, + 434.34 + ], + "words": [ + { + "text": "contact", + "bbox_points": [ + 150.4, + 426.33, + 176.82, + 434.34 + ] + } + ] + }, + { + "text": "Ends: Just boundaries Water supplied within boundaries; wastewater Target 6.3, 6.4, 6.6", + "bbox_points": [ + 37.02, + 440.33, + 388.97, + 448.35 + ], + "words": [ + { + "text": "Ends:", + "bbox_points": [ + 37.02, + 440.33, + 57.49, + 448.35 + ] + }, + { + "text": "Just", + "bbox_points": [ + 59.81, + 440.33, + 72.87, + 448.35 + ] + }, + { + "text": "boundaries", + "bbox_points": [ + 75.29, + 440.33, + 115.07, + 448.35 + ] + }, + { + "text": "Water", + "bbox_points": [ + 142.41, + 440.33, + 164.17, + 448.35 + ] + }, + { + "text": "supplied", + "bbox_points": [ + 166.56, + 440.33, + 196.76, + 448.35 + ] + }, + { + "text": "within", + "bbox_points": [ + 199.16, + 440.33, + 222.21, + 448.35 + ] + }, + { + "text": "boundaries;", + "bbox_points": [ + 224.62, + 440.33, + 266.7, + 448.35 + ] + }, + { + "text": "wastewater", + "bbox_points": [ + 269.12, + 440.33, + 308.85, + 448.35 + ] + }, + { + "text": "Target", + "bbox_points": [ + 322.64, + 440.33, + 345.35, + 448.35 + ] + }, + { + "text": "6.3,", + "bbox_points": [ + 347.75, + 440.33, + 360.58, + 448.35 + ] + }, + { + "text": "6.4,", + "bbox_points": [ + 362.94, + 440.33, + 375.78, + 448.35 + ] + }, + { + "text": "6.6", + "bbox_points": [ + 378.14, + 440.33, + 388.97, + 448.35 + ] + } + ] + }, + { + "text": "treated before disposal", + "bbox_points": [ + 150.4, + 450.82, + 231.48, + 458.83 + ], + "words": [ + { + "text": "treated", + "bbox_points": [ + 150.4, + 450.82, + 175.05, + 458.83 + ] + }, + { + "text": "before", + "bbox_points": [ + 177.45, + 450.82, + 199.87, + 458.83 + ] + }, + { + "text": "disposal", + "bbox_points": [ + 202.28, + 450.82, + 231.48, + 458.83 + ] + } + ] + }, + { + "text": "Means: address drivers WASH projects are treated as bankable when", + "bbox_points": [ + 37.02, + 464.82, + 305.94, + 472.84 + ], + "words": [ + { + "text": "Means:", + "bbox_points": [ + 37.02, + 464.82, + 63.32, + 472.84 + ] + }, + { + "text": "address", + "bbox_points": [ + 65.65, + 464.82, + 92.58, + 472.84 + ] + }, + { + "text": "drivers", + "bbox_points": [ + 94.96, + 464.82, + 119.51, + 472.84 + ] + }, + { + "text": "WASH", + "bbox_points": [ + 142.41, + 464.82, + 167.75, + 472.84 + ] + }, + { + "text": "projects", + "bbox_points": [ + 170.13, + 464.82, + 198.31, + 472.84 + ] + }, + { + "text": "are", + "bbox_points": [ + 200.69, + 464.82, + 211.83, + 472.84 + ] + }, + { + "text": "treated", + "bbox_points": [ + 214.18, + 464.82, + 238.89, + 472.84 + ] + }, + { + "text": "as", + "bbox_points": [ + 241.28, + 464.82, + 248.77, + 472.84 + ] + }, + { + "text": "bankable", + "bbox_points": [ + 251.15, + 464.82, + 283.95, + 472.84 + ] + }, + { + "text": "when", + "bbox_points": [ + 286.13, + 464.82, + 305.94, + 472.84 + ] + } + ] + }, + { + "text": "in many contexts they are not. Non-bankable", + "bbox_points": [ + 150.4, + 475.31, + 312.09, + 483.32 + ], + "words": [ + { + "text": "in", + "bbox_points": [ + 150.4, + 475.31, + 157.48, + 483.32 + ] + }, + { + "text": "many", + "bbox_points": [ + 159.81, + 475.31, + 179.72, + 483.32 + ] + }, + { + "text": "contexts", + "bbox_points": [ + 182.1, + 475.31, + 211.83, + 483.32 + ] + }, + { + "text": "they", + "bbox_points": [ + 214.07, + 475.31, + 229.18, + 483.32 + ] + }, + { + "text": "are", + "bbox_points": [ + 231.42, + 475.31, + 242.56, + 483.32 + ] + }, + { + "text": "not.", + "bbox_points": [ + 244.97, + 475.31, + 258.86, + 483.32 + ] + }, + { + "text": "Non-bankable", + "bbox_points": [ + 261.24, + 475.31, + 312.09, + 483.32 + ] + } + ] + }, + { + "text": "project should not be made bankable. A", + "bbox_points": [ + 150.4, + 485.85, + 294.39, + 493.87 + ], + "words": [ + { + "text": "project", + "bbox_points": [ + 150.4, + 485.85, + 175.26, + 493.87 + ] + }, + { + "text": "should", + "bbox_points": [ + 177.62, + 485.85, + 201.74, + 493.87 + ] + }, + { + "text": "not", + "bbox_points": [ + 204.09, + 485.85, + 215.99, + 493.87 + ] + }, + { + "text": "be", + "bbox_points": [ + 218.38, + 485.85, + 226.79, + 493.87 + ] + }, + { + "text": "made", + "bbox_points": [ + 229.21, + 485.85, + 248.94, + 493.87 + ] + }, + { + "text": "bankable.", + "bbox_points": [ + 251.26, + 485.85, + 285.97, + 493.87 + ] + }, + { + "text": "A", + "bbox_points": [ + 288.39, + 485.85, + 294.39, + 493.87 + ] + } + ] + }, + { + "text": "purpose-oriented programmatic systemic", + "bbox_points": [ + 150.4, + 496.34, + 296.05, + 504.36 + ], + "words": [ + { + "text": "purpose-oriented", + "bbox_points": [ + 150.4, + 496.34, + 211.16, + 504.36 + ] + }, + { + "text": "programmatic", + "bbox_points": [ + 213.5, + 496.34, + 263.62, + 504.36 + ] + }, + { + "text": "systemic", + "bbox_points": [ + 266.0, + 496.34, + 296.05, + 504.36 + ] + } + ] + }, + { + "text": "approach is needed to achieve this goal", + "bbox_points": [ + 150.4, + 506.83, + 292.01, + 514.84 + ], + "words": [ + { + "text": "approach", + "bbox_points": [ + 150.4, + 506.83, + 183.98, + 514.84 + ] + }, + { + "text": "is", + "bbox_points": [ + 186.35, + 506.83, + 192.0, + 514.84 + ] + }, + { + "text": "needed", + "bbox_points": [ + 194.4, + 506.83, + 220.29, + 514.84 + ] + }, + { + "text": "to", + "bbox_points": [ + 222.63, + 506.83, + 229.78, + 514.84 + ] + }, + { + "text": "achieve", + "bbox_points": [ + 232.16, + 506.83, + 259.17, + 514.84 + ] + }, + { + "text": "this", + "bbox_points": [ + 261.58, + 506.83, + 274.56, + 514.84 + ] + }, + { + "text": "goal", + "bbox_points": [ + 276.94, + 506.83, + 292.01, + 514.84 + ] + } + ] + }, + { + "text": "Means: address harm Harm caused by poor sanitation services must", + "bbox_points": [ + 37.02, + 520.83, + 308.72, + 528.85 + ], + "words": [ + { + "text": "Means:", + "bbox_points": [ + 37.02, + 520.83, + 63.32, + 528.85 + ] + }, + { + "text": "address", + "bbox_points": [ + 65.65, + 520.83, + 92.58, + 528.85 + ] + }, + { + "text": "harm", + "bbox_points": [ + 94.96, + 520.83, + 114.02, + 528.85 + ] + }, + { + "text": "Harm", + "bbox_points": [ + 142.41, + 520.83, + 163.73, + 528.85 + ] + }, + { + "text": "caused", + "bbox_points": [ + 166.05, + 520.83, + 190.69, + 528.85 + ] + }, + { + "text": "by", + "bbox_points": [ + 193.04, + 520.83, + 201.45, + 528.85 + ] + }, + { + "text": "poor", + "bbox_points": [ + 203.81, + 520.83, + 220.7, + 528.85 + ] + }, + { + "text": "sanitation", + "bbox_points": [ + 223.09, + 520.83, + 258.4, + 528.85 + ] + }, + { + "text": "services", + "bbox_points": [ + 260.79, + 520.83, + 289.09, + 528.85 + ] + }, + { + "text": "must", + "bbox_points": [ + 291.46, + 520.83, + 308.72, + 528.85 + ] + } + ] + }, + { + "text": "be addressed", + "bbox_points": [ + 150.4, + 531.32, + 196.68, + 539.34 + ], + "words": [ + { + "text": "be", + "bbox_points": [ + 150.4, + 531.32, + 158.82, + 539.34 + ] + }, + { + "text": "addressed", + "bbox_points": [ + 161.18, + 531.32, + 196.68, + 539.34 + ] + } + ] + }, + { + "text": "Means: address allocation Water allocation should prioritise access, Target 6.1, 6.2; 6.a", + "bbox_points": [ + 37.02, + 545.32, + 389.0, + 553.34 + ], + "words": [ + { + "text": "Means:", + "bbox_points": [ + 37.02, + 545.32, + 63.32, + 553.34 + ] + }, + { + "text": "address", + "bbox_points": [ + 65.65, + 545.32, + 92.58, + 553.34 + ] + }, + { + "text": "allocation", + "bbox_points": [ + 94.96, + 545.32, + 130.56, + 553.34 + ] + }, + { + "text": "Water", + "bbox_points": [ + 142.41, + 545.32, + 164.17, + 553.34 + ] + }, + { + "text": "allocation", + "bbox_points": [ + 166.39, + 545.32, + 201.93, + 553.34 + ] + }, + { + "text": "should", + "bbox_points": [ + 204.32, + 545.32, + 228.45, + 553.34 + ] + }, + { + "text": "prioritise", + "bbox_points": [ + 230.85, + 545.32, + 263.14, + 553.34 + ] + }, + { + "text": "access,", + "bbox_points": [ + 265.55, + 545.32, + 290.17, + 553.34 + ] + }, + { + "text": "Target", + "bbox_points": [ + 322.64, + 545.32, + 345.35, + 553.34 + ] + }, + { + "text": "6.1,", + "bbox_points": [ + 347.75, + 545.32, + 360.58, + 553.34 + ] + }, + { + "text": "6.2;", + "bbox_points": [ + 362.94, + 545.32, + 376.1, + 553.34 + ] + }, + { + "text": "6.a", + "bbox_points": [ + 378.42, + 545.32, + 389.0, + 553.34 + ] + } + ] + }, + { + "text": "of remaining resources including during water scarcity; Finance for Target 6.a: ‘By 2030, expand international", + "bbox_points": [ + 45.01, + 555.53, + 481.56, + 563.83 + ], + "words": [ + { + "text": "of", + "bbox_points": [ + 45.01, + 555.81, + 52.08, + 563.83 + ] + }, + { + "text": "remaining", + "bbox_points": [ + 54.48, + 555.81, + 90.73, + 563.83 + ] + }, + { + "text": "resources", + "bbox_points": [ + 93.09, + 555.81, + 126.81, + 563.83 + ] + }, + { + "text": "including", + "bbox_points": [ + 150.4, + 555.81, + 183.94, + 563.83 + ] + }, + { + "text": "during", + "bbox_points": [ + 186.35, + 555.81, + 209.73, + 563.83 + ] + }, + { + "text": "water", + "bbox_points": [ + 212.09, + 555.81, + 231.97, + 563.83 + ] + }, + { + "text": "scarcity;", + "bbox_points": [ + 234.37, + 555.81, + 264.0, + 563.83 + ] + }, + { + "text": "Finance", + "bbox_points": [ + 266.4, + 555.81, + 295.12, + 563.83 + ] + }, + { + "text": "for", + "bbox_points": [ + 297.47, + 555.81, + 307.7, + 563.83 + ] + }, + { + "text": "Target", + "bbox_points": [ + 330.63, + 555.81, + 353.34, + 563.83 + ] + }, + { + "text": "6.a:", + "bbox_points": [ + 355.74, + 555.81, + 368.65, + 563.83 + ] + }, + { + "text": "‘By", + "bbox_points": [ + 370.99, + 555.53, + 382.55, + 563.83 + ] + }, + { + "text": "2030,", + "bbox_points": [ + 384.94, + 555.81, + 404.6, + 563.83 + ] + }, + { + "text": "expand", + "bbox_points": [ + 406.94, + 555.81, + 433.01, + 563.83 + ] + }, + { + "text": "international", + "bbox_points": [ + 435.34, + 555.81, + 481.56, + 563.83 + ] + } + ] + }, + { + "text": "infrastructure must be patient, low interest, cooperation and capacity-building support", + "bbox_points": [ + 150.4, + 566.35, + 482.44, + 574.37 + ], + "words": [ + { + "text": "infrastructure", + "bbox_points": [ + 150.4, + 566.36, + 198.68, + 574.37 + ] + }, + { + "text": "must", + "bbox_points": [ + 201.03, + 566.36, + 218.35, + 574.37 + ] + }, + { + "text": "be", + "bbox_points": [ + 220.7, + 566.36, + 229.12, + 574.37 + ] + }, + { + "text": "patient,", + "bbox_points": [ + 231.53, + 566.36, + 258.32, + 574.37 + ] + }, + { + "text": "low", + "bbox_points": [ + 260.67, + 566.36, + 273.75, + 574.37 + ] + }, + { + "text": "interest,", + "bbox_points": [ + 276.09, + 566.36, + 304.42, + 574.37 + ] + }, + { + "text": "cooperation", + "bbox_points": [ + 330.63, + 566.35, + 373.54, + 574.37 + ] + }, + { + "text": "and", + "bbox_points": [ + 375.93, + 566.35, + 389.41, + 574.37 + ] + }, + { + "text": "capacity-building", + "bbox_points": [ + 391.8, + 566.35, + 452.66, + 574.37 + ] + }, + { + "text": "support", + "bbox_points": [ + 455.07, + 566.35, + 482.44, + 574.37 + ] + } + ] + }, + { + "text": "in local currency and be cross subsidised to developing countries in water- and", + "bbox_points": [ + 150.4, + 576.84, + 464.53, + 584.86 + ], + "words": [ + { + "text": "in", + "bbox_points": [ + 150.4, + 576.84, + 157.48, + 584.86 + ] + }, + { + "text": "local", + "bbox_points": [ + 159.81, + 576.84, + 177.21, + 584.86 + ] + }, + { + "text": "currency", + "bbox_points": [ + 179.6, + 576.84, + 211.03, + 584.86 + ] + }, + { + "text": "and", + "bbox_points": [ + 213.22, + 576.84, + 226.7, + 584.86 + ] + }, + { + "text": "be", + "bbox_points": [ + 229.09, + 576.84, + 237.51, + 584.86 + ] + }, + { + "text": "cross", + "bbox_points": [ + 239.87, + 576.84, + 258.07, + 584.86 + ] + }, + { + "text": "subsidised", + "bbox_points": [ + 260.5, + 576.84, + 297.2, + 584.86 + ] + }, + { + "text": "to", + "bbox_points": [ + 330.63, + 576.84, + 337.78, + 584.86 + ] + }, + { + "text": "developing", + "bbox_points": [ + 340.21, + 576.84, + 379.29, + 584.86 + ] + }, + { + "text": "countries", + "bbox_points": [ + 381.65, + 576.84, + 414.86, + 584.86 + ] + }, + { + "text": "in", + "bbox_points": [ + 417.26, + 576.84, + 424.33, + 584.86 + ] + }, + { + "text": "water-", + "bbox_points": [ + 426.72, + 576.84, + 448.69, + 584.86 + ] + }, + { + "text": "and", + "bbox_points": [ + 451.05, + 576.84, + 464.53, + 584.86 + ] + } + ] + }, + { + "text": "from other water users or by tax payers sanitation-related activities and", + "bbox_points": [ + 150.4, + 587.33, + 442.3, + 595.35 + ], + "words": [ + { + "text": "from", + "bbox_points": [ + 150.4, + 587.33, + 167.42, + 595.35 + ] + }, + { + "text": "other", + "bbox_points": [ + 169.79, + 587.33, + 188.85, + 595.35 + ] + }, + { + "text": "water", + "bbox_points": [ + 191.22, + 587.33, + 211.11, + 595.35 + ] + }, + { + "text": "users", + "bbox_points": [ + 213.5, + 587.33, + 231.89, + 595.35 + ] + }, + { + "text": "or", + "bbox_points": [ + 234.25, + 587.33, + 241.99, + 595.35 + ] + }, + { + "text": "by", + "bbox_points": [ + 244.34, + 587.33, + 252.76, + 595.35 + ] + }, + { + "text": "tax", + "bbox_points": [ + 255.17, + 587.33, + 266.07, + 595.35 + ] + }, + { + "text": "payers", + "bbox_points": [ + 268.44, + 587.33, + 291.29, + 595.35 + ] + }, + { + "text": "sanitation-related", + "bbox_points": [ + 330.63, + 587.33, + 392.46, + 595.35 + ] + }, + { + "text": "activities", + "bbox_points": [ + 394.86, + 587.33, + 426.45, + 595.35 + ] + }, + { + "text": "and", + "bbox_points": [ + 428.82, + 587.33, + 442.3, + 595.35 + ] + } + ] + }, + { + "text": "programmes, including water harvesting,", + "bbox_points": [ + 330.63, + 597.82, + 476.61, + 605.83 + ], + "words": [ + { + "text": "programmes,", + "bbox_points": [ + 330.63, + 597.82, + 377.22, + 605.83 + ] + }, + { + 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"measures consumption to sustain during water", + "bbox_points": [ + 189.01, + 159.82, + 427.45, + 167.84 + ], + "words": [ + { + "text": "measures", + "bbox_points": [ + 189.01, + 159.82, + 222.31, + 167.84 + ] + }, + { + "text": "consumption", + "bbox_points": [ + 295.71, + 159.82, + 342.64, + 167.83 + ] + }, + { + "text": "to", + "bbox_points": [ + 345.03, + 159.82, + 352.18, + 167.83 + ] + }, + { + "text": "sustain", + "bbox_points": [ + 354.56, + 159.82, + 379.42, + 167.83 + ] + }, + { + "text": "during", + "bbox_points": [ + 381.83, + 159.82, + 405.21, + 167.83 + ] + }, + { + "text": "water", + "bbox_points": [ + 407.56, + 159.82, + 427.45, + 167.83 + ] + } + ] + }, + { + "text": "shortages", + "bbox_points": [ + 295.71, + 170.36, + 329.58, + 178.38 + ], + "words": [ + { + "text": "shortages", + "bbox_points": [ + 295.71, + 170.36, + 329.58, + 178.38 + ] + } + ] + }, + { + "text": "Re2 Waste management Waste water management Wastewater management can help to give 1 0", + 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254.32, + 84.9, + 262.34 + ] + }, + { + "text": "low-water", + "bbox_points": [ + 87.25, + 254.32, + 122.27, + 262.34 + ] + }, + { + "text": "consuming", + "bbox_points": [ + 124.5, + 254.32, + 163.69, + 262.34 + ] + }, + { + "text": "Washing", + "bbox_points": [ + 180.96, + 254.32, + 212.29, + 262.34 + ] + }, + { + "text": "machine", + "bbox_points": [ + 214.7, + 254.32, + 245.51, + 262.34 + ] + }, + { + "text": "Automatic", + "bbox_points": [ + 287.71, + 254.32, + 325.25, + 262.34 + ] + }, + { + "text": "washing", + "bbox_points": [ + 327.63, + 254.32, + 357.11, + 262.34 + ] + }, + { + "text": "machines", + "bbox_points": [ + 359.43, + 254.32, + 393.57, + 262.34 + ] + }, + { + "text": "consume", + "bbox_points": [ + 395.94, + 254.32, + 428.06, + 262.34 + ] + }, + { + "text": "more", + "bbox_points": [ + 430.47, + 254.32, + 448.98, + 262.34 + ] + }, + { + "text": "1", + "bbox_points": [ + 464.54, + 254.32, + 468.96, + 262.34 + ] + }, + { + "text": "0", + "bbox_points": [ + 483.13, + 254.32, + 487.55, + 262.34 + ] + } + ] + }, + { + "text": "cloth washing and water in comparison to regular machines/", + "bbox_points": [ + 72.17, + 264.81, + 446.98, + 272.83 + ], + "words": [ + { + "text": "cloth", + "bbox_points": [ + 72.17, + 264.81, + 90.39, + 272.83 + ] + }, + { + "text": "washing", + "bbox_points": [ + 92.81, + 264.81, + 122.23, + 272.83 + ] + }, + { + "text": "and", + "bbox_points": [ + 124.61, + 264.81, + 138.09, + 272.83 + ] + }, + { + "text": "water", + "bbox_points": [ + 295.71, + 264.81, + 315.59, + 272.83 + ] + }, + { + "text": "in", + "bbox_points": [ + 317.93, + 264.81, + 325.0, + 272.83 + ] + }, + { + "text": "comparison", + "bbox_points": [ + 327.4, + 264.81, + 369.77, + 272.83 + ] + }, + { + "text": "to", + "bbox_points": [ + 372.19, + 264.81, + 379.34, + 272.83 + ] + }, + { + "text": "regular", + "bbox_points": [ + 381.71, + 264.81, + 406.94, + 272.83 + ] + }, + { + "text": "machines/", + "bbox_points": [ + 409.32, + 264.81, + 446.98, + 272.83 + ] 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+ 530.42, + 203.06, + 538.44 + ] + }, + { + "text": "perimeter", + "bbox_points": [ + 205.46, + 530.42, + 240.17, + 538.44 + ] + }, + { + "text": "of", + "bbox_points": [ + 242.42, + 530.42, + 249.49, + 538.44 + ] + }, + { + "text": "tank", + "bbox_points": [ + 251.89, + 530.42, + 267.94, + 538.44 + ] + }, + { + "text": "1.491", + "bbox_points": [ + 468.11, + 530.42, + 487.78, + 538.44 + ] + }, + { + "text": "km2,", + "bbox_points": [ + 489.71, + 528.89, + 506.57, + 538.44 + ] + }, + { + "text": "6.679", + "bbox_points": [ + 508.99, + 530.42, + 528.65, + 538.44 + ] + }, + { + "text": "km", + "bbox_points": [ + 530.59, + 530.42, + 542.16, + 538.44 + ] + } + ] + }, + { + "text": "Depth of water depleted 32 m", + "bbox_points": [ + 43.43, + 544.42, + 485.94, + 552.44 + ], + "words": [ + { + "text": "Depth", + "bbox_points": [ + 43.43, + 544.42, + 65.9, + 552.44 + ] + }, + { + "text": "of", + "bbox_points": [ + 68.26, + 544.42, + 75.33, + 552.44 + ] + }, + { + "text": "water", + "bbox_points": [ + 77.73, + 544.42, + 97.61, + 552.44 + ] + }, + { + "text": "depleted", + "bbox_points": [ + 100.01, + 544.42, + 130.55, + 552.44 + ] + }, + { + "text": "32", + "bbox_points": [ + 468.11, + 544.42, + 476.94, + 552.44 + ] + }, + { + "text": "m", + "bbox_points": [ + 478.94, + 544.42, + 485.94, + 552.44 + ] + } + ] + }, + { + "text": "Max. length, Max. width, min. width 2,600 m, 760 m, 18 m", + "bbox_points": [ + 43.43, + 558.43, + 545.47, + 566.44 + ], + "words": [ + { + "text": "Max.", + "bbox_points": [ + 43.43, + 558.43, + 61.49, + 566.44 + ] + }, + { + "text": "length,", + "bbox_points": [ + 63.89, + 558.43, + 88.29, + 566.44 + ] + }, + { + "text": "Max.", + "bbox_points": [ + 90.6, + 558.43, + 108.66, + 566.44 + ] + }, + { + "text": "width,", + "bbox_points": [ + 111.06, + 558.43, + 133.61, + 566.44 + ] + }, + { + "text": "min.", + "bbox_points": [ + 135.95, + 558.43, + 152.02, + 566.44 + ] + }, + { + "text": "width", + "bbox_points": [ + 154.38, + 558.43, + 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102.56, + 572.43, + 122.44, + 580.45 + ] + }, + { + "text": "emptied", + "bbox_points": [ + 124.67, + 572.43, + 153.73, + 580.45 + ] + }, + { + "text": "43.2172", + "bbox_points": [ + 468.11, + 572.43, + 496.61, + 580.45 + ] + }, + { + "text": "MCM", + "bbox_points": [ + 498.56, + 572.43, + 519.79, + 580.45 + ] + } + ] + }, + { + "text": "Approximate time duration for emptying (from news papers) 3 h", + "bbox_points": [ + 43.43, + 586.43, + 479.27, + 594.45 + ], + "words": [ + { + "text": "Approximate", + "bbox_points": [ + 43.43, + 586.43, + 90.14, + 594.45 + ] + }, + { + "text": "time", + "bbox_points": [ + 92.52, + 586.43, + 108.43, + 594.45 + ] + }, + { + "text": "duration", + "bbox_points": [ + 110.78, + 586.43, + 141.16, + 594.45 + ] + }, + { + "text": "for", + "bbox_points": [ + 143.55, + 586.43, + 153.78, + 594.45 + ] + }, + { + "text": "emptying", + "bbox_points": [ + 155.96, + 586.43, + 189.19, + 594.45 + ] + }, + { + "text": "(from", + "bbox_points": [ + 191.51, + 586.43, + 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[ + 43.43, + 612.91, + 504.59, + 622.46 + ], + "words": [ + { + "text": "Cross-section", + "bbox_points": [ + 43.43, + 614.44, + 91.02, + 622.46 + ] + }, + { + "text": "area", + "bbox_points": [ + 93.38, + 614.44, + 108.68, + 622.46 + ] + }, + { + "text": "of", + "bbox_points": [ + 111.06, + 614.44, + 118.13, + 622.46 + ] + }, + { + "text": "cut", + "bbox_points": [ + 120.53, + 614.44, + 131.68, + 622.46 + ] + }, + { + "text": "through", + "bbox_points": [ + 134.02, + 614.44, + 162.24, + 622.46 + ] + }, + { + "text": "which", + "bbox_points": [ + 164.58, + 614.44, + 186.73, + 622.46 + ] + }, + { + "text": "water", + "bbox_points": [ + 189.13, + 614.44, + 208.96, + 622.46 + ] + }, + { + "text": "emptied", + "bbox_points": [ + 211.18, + 614.44, + 240.24, + 622.46 + ] + }, + { + "text": "at", + "bbox_points": [ + 242.59, + 614.44, + 249.14, + 622.46 + ] + }, + { + "text": "the", + "bbox_points": [ + 251.55, + 614.44, + 262.87, + 622.46 + ] + }, + { + "text": "mouth", + "bbox_points": [ + 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"the", + "bbox_points": [ + 164.58, + 628.44, + 175.9, + 636.46 + ] + }, + { + "text": "lake", + "bbox_points": [ + 178.3, + 628.44, + 193.18, + 636.46 + ] + }, + { + "text": "30", + "bbox_points": [ + 468.11, + 628.44, + 476.94, + 636.46 + ] + }, + { + "text": "m", + "bbox_points": [ + 478.94, + 628.44, + 485.94, + 636.46 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_04.txt b/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..b81bcdb005396fc0c0a9d4a62b59103d3526f549 --- /dev/null +++ b/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_04.txt @@ -0,0 +1 @@ +Lake water depletion computations diff --git a/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_05.jpg b/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9b7bcab242be5523da7b2692096814e485a3c5ed --- /dev/null +++ b/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dba36696bd786752adec1466f08a745d94e607423a642159d1e25d37026a16bf +size 25916 diff --git a/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_05.json b/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_05.json new file mode 100644 index 0000000000000000000000000000000000000000..0be4143304ceee69780f2af95a7b110a940be795 --- /dev/null +++ b/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_05.json @@ -0,0 +1,368 @@ +{ + "kind": "table", + "label": "table_05", + "number": 5, + "caption": "Debris slide computations", + "page": 12, + "table_bbox_points": [ + 40.43, + 660.08, + 548.44, + 726.91 + ], + "caption_bbox_points": [ + 43.43, + 651.85, + 175.2, + 660.08 + ], + "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": "Total volume of debris slide 11.5014 MCM", + "bbox_points": [ + 43.43, + 680.77, + 438.49, + 688.79 + ], + "words": [ + { + "text": "Total", + "bbox_points": [ + 43.43, + 680.77, + 61.88, + 688.79 + ] + }, + { + "text": "volume", + "bbox_points": [ + 64.29, + 680.77, + 90.74, + 688.79 + ] + }, + { + "text": "of", + "bbox_points": [ + 93.09, + 680.77, + 100.16, + 688.79 + ] + }, + { + "text": "debris", + "bbox_points": [ + 102.56, + 680.77, + 124.36, + 688.79 + ] + }, + { + "text": "slide", + "bbox_points": [ + 126.71, + 680.77, + 143.27, + 688.79 + ] + }, + { + "text": "11.5014", + "bbox_points": [ + 386.87, + 680.77, + 415.37, + 688.79 + ] + }, + { + "text": "MCM", + "bbox_points": [ + 417.26, + 680.77, + 438.49, + 688.79 + ] + } + ] + }, + { + "text": "Projected area of debris slide 0.2238 km2 at the water level after the event", + "bbox_points": [ + 43.43, + 693.3, + 545.48, + 702.79 + ], + "words": [ + { + "text": "Projected", + "bbox_points": [ + 43.43, + 694.77, + 77.31, + 702.79 + ] + }, + { + "text": "area", + "bbox_points": [ + 79.65, + 694.77, + 94.96, + 702.79 + ] + }, + { + "text": "of", + "bbox_points": [ + 97.34, + 694.77, + 104.41, + 702.79 + ] + }, + { + "text": "debris", + "bbox_points": [ + 106.81, + 694.77, + 128.62, + 702.79 + ] + }, + { + "text": "slide", + "bbox_points": [ + 130.96, + 694.77, + 147.52, + 702.79 + ] + }, + { + "text": "0.2238", + "bbox_points": [ + 386.87, + 694.77, + 410.95, + 702.79 + ] + }, + { + "text": "km2", + "bbox_points": [ + 412.84, + 693.3, + 427.71, + 702.79 + ] + }, + { + "text": "at", + "bbox_points": [ + 430.13, + 694.77, + 436.67, + 702.79 + ] + }, + { + "text": "the", + "bbox_points": [ + 439.09, + 694.77, + 450.41, + 702.79 + ] + }, + { + "text": "water", + "bbox_points": [ + 452.64, + 694.77, + 472.46, + 702.79 + ] + }, + { + "text": "level", + "bbox_points": [ + 474.86, + 694.77, + 491.51, + 702.79 + ] + }, + { + "text": "after", + "bbox_points": [ + 493.91, + 694.77, + 510.11, + 702.79 + ] + }, + { + "text": "the", + "bbox_points": [ + 512.51, + 694.77, + 523.83, + 702.79 + ] + }, + { + "text": "event", + "bbox_points": [ + 526.17, + 694.77, + 545.48, + 702.79 + ] + } + ] + }, + { + "text": "Max. height of debris 209 m from the water level after the event", + "bbox_points": [ + 43.43, + 708.78, + 537.26, + 716.79 + ], + "words": [ + { + "text": "Max.", + "bbox_points": [ + 43.43, + 708.78, + 61.49, + 716.79 + ] + }, + { + "text": "height", + "bbox_points": [ + 63.89, + 708.78, + 86.29, + 716.79 + ] + }, + { + "text": "of", + "bbox_points": [ + 88.61, + 708.78, + 95.68, + 716.79 + ] + }, + { + "text": "debris", + "bbox_points": [ + 98.08, + 708.78, + 119.89, + 716.79 + ] + }, + { + "text": "209", + "bbox_points": [ + 386.87, + 708.78, + 400.12, + 716.79 + ] + }, + { + "text": "m", + "bbox_points": [ + 402.07, + 708.78, + 409.07, + 716.79 + ] + }, + { + "text": "from", + "bbox_points": [ + 411.42, + 708.78, + 428.49, + 716.79 + ] + }, + { + "text": "the", + "bbox_points": [ + 430.87, + 708.78, + 442.18, + 716.79 + ] + }, + { + "text": "water", + "bbox_points": [ + 444.41, + 708.78, + 464.3, + 716.79 + ] + }, + { + "text": "level", + "bbox_points": [ + 466.64, + 708.78, + 483.29, + 716.79 + ] + }, + { + "text": "after", + "bbox_points": [ + 485.69, + 708.78, + 501.89, + 716.79 + ] + }, + { + "text": "the", + "bbox_points": [ + 504.28, + 708.78, + 515.6, + 716.79 + ] + }, + { + "text": "event", + "bbox_points": [ + 517.95, + 708.78, + 537.26, + 716.79 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_05.txt b/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..14fb97f6f253c5ea8061c7dead6e1d0e901d9823 --- /dev/null +++ b/Media/2025/Shashivardhan Reddy et al. - 2025 - GLOF in the South Lhonak Lake, India photogrammetric analysis and estimation/table_05.txt @@ -0,0 +1 @@ +Debris slide computations diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_01.jpg b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9ef67db4255b12879e0f048a09c543b7b5cbc37c --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0bb487398c234ed14dee7efa2a1986e6efbf60e00b7a7ae3982a07967c91ba1a +size 183413 diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_01.txt b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..895ec8a82035f58a093308ae6a8111309a934d7e --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_01.txt @@ -0,0 +1 @@ +Geographical map of Afghanistan showing the five major river basins, the three catchments used in this study, and the corre- sponding hydro-climate stations (AT stands for air temperature, PPT for precipitation, and RD for river discharge). diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_02.jpg b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..59a2b9d3953179f206f802acd77fd53cf88de160 --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ebc42f90bab2caf65dbe60106e3dc125bad385668b07b52a071b37a710f27e19 +size 136273 diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_02.txt b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..7df0466cba411ed36d72a68479874844976d69b0 --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_02.txt @@ -0,0 +1 @@ +Illustration of the model workflow used in this study. The glacier-covered part illustrates the behavior of both the bare ice and debris-covered glaciers. Orange reservoirs are distributed over all elevation bands, and red reservoirs are lumped over the catchment. diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_03.jpg b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..9f337c8da2792582e89bcf5d1362e6c6c3919d6d --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:071b513f7e1db625ed151055fb305bd821c51621f6eb319bed1006468f357cf2 +size 57511 diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_03.txt b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..6558bad3546ad800cfb3d52a0893694a498b96ee --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_03.txt @@ -0,0 +1 @@ +Glacier evolution for the Sust and Taqchakhana catchments; note the two orders of magnitude difference in scale of the two y-axes. diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_04.jpg b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7cdd1ae19d902af4f66e76352e7d6cf8825aeafe --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9375edaba113e8e08b1405d56e83784000a24f5dcc25c8c999b05dc931a9bae2 +size 126912 diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_04.txt b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d7cca1c1d940a3163eec8ef5f0a43dd7cd9e0b7 --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_04.txt @@ -0,0 +1 @@ +Daily simulated and observed streamflow for the three catchments with an indication of the calibration and evaluation periods. diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_05.jpg b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..69b524226e9dcaf8176dd848af5d9418cdb6abee --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:ff1638387147448376735b4430e9454bb070bc0c919924f029a5b8d352510a26 +size 98871 diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_05.txt b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..707f64fe0fd7a476efd3ec0afdc643a96f79135d --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_05.txt @@ -0,0 +1 @@ +Contribution of streamflow components (rain and snow runoff, Glacier runoff, and baseflow) presented for individual catchments, (a and d) Sust catchment, (b and e) Taqchakhana catchment, and (c and f) Bamyan catchment). (a)–(c) Show mean monthly runoff for the whole available data period (Table 1) with the percentage contribution of three different components. (d)–(f) Present mean annual streamflow contributions originating from each elevation band. In the model, baseflow can only result from elevation bands that are not glacier-covered. diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_06.jpg b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7c8e416b272ec92f619d635b36a48fe9e5605911 --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0b28ca4635b1fdf1869b8f5cae2b70b5f4179cf212c1d278db56c69f08af44d3 +size 140040 diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_06.txt b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..244fe689c15f28e66aa7f26859ddab6d7e035ce0 --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_06.txt @@ -0,0 +1 @@ +Projected mean annual temperature (a)–(c) and precipitation (d)–(f) in three catchments (a, d Sust; b, e Taqchakhana; and c, f Bamyan catchment), estimated by the ensembles. Shading represents the standard deviation of the five model ensembles (Table 3). diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_07.jpg b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e541ebf65a65c4cf562d51e33d8eface315b7525 --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:271381f51c6fcc5c04adc81701fe470e65d937667944b556c8a11eefce7e1115 +size 181734 diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_07.txt b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..b59952fd3f6003081cb685afb2c64d3aee6677ce --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_07.txt @@ -0,0 +1 @@ +Projected mean seasonal temperature (a)–(f) and precipitation (g)–(l) from five ensembles under RCP 2.6 and 8.5 and three timespans (2020s, 2060s, and 2100s) and three catchments (a, b, g, h presents the Sust catchment; c, d, i, j presents the Taqchakhana catchment; e, f, k, l presents the Bamyan catchment). The upper and lower box margins mark the 75th (Q75) and the 25th (Q25) quartiles, respectively, with the mid-box line showing the median. The whiskers show the extremes of the data (maximum and minimum) except for situations where outliers are present, defined as either Q75 þ 1.5(Q75  25) for the maximum and Q25  1.5(Q75  Q25) for the minimum. The star symbol shows the mean seasonal value for particular periods. diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_08.jpg b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..51bc9157a43e9fd0c14bbcf93b48812490b5087d --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fcef1d3f938945877e86d9777893a59302f49fef07a6185e606415f8e2911ac2 +size 168740 diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_08.txt b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab45380954a37eb1979fa7294db1a8f9f110bb9b --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_08.txt @@ -0,0 +1 @@ +Mean annual runoff component presented under two scenarios (a–c, RCP 2.6 and d–f RCP 8.5), and for three catchments, (a) Sust, (b) Taqchakhana, and (c) Bamyan. R&S indicates rain and snow runoff. The shading indicates the standard deviation of the five ensembles. diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_09.jpg b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e8a48ac4313c02e70f854fe393ae4aa04ccf3001 --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2c39f027ebb8bf89b97a04cc693c38a0f7834dbe3d3eefd393d72880414a4ff7 +size 193751 diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_09.txt b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb59ee293537578ea97b56a77719ba3b338a97e3 --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_09.txt @@ -0,0 +1 @@ +Changes in projected streamflow with different runoff components for the three catchments. (Left) Mean monthly runoff for the baseline period 2020s (mean over 2000–2020). (right) changes in mean monthly runoff over 2060 and 2100s under two RCPs (2.6 and 8.5). diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_10.jpg b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_10.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c80042ebbb9128e5587dc39379c4760926f6915e --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_10.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4268e84251546d90a3cc47b401d27d75ae07bb93286eac3b7a9782f3a427c072 +size 139255 diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_10.txt b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_10.txt new file mode 100644 index 0000000000000000000000000000000000000000..56a517d8c9a6990b5de86e7c431cd53ef470c41d --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/figure_10.txt @@ -0,0 +1 @@ +Glacier runoff (with and without debris cover ice representations) response to the projected climate under two RCPs (2.6 and 8.5) for three catchments (Sust catchment a, b; Taqchakhana catchment c, d; and Bamyan catchment e, f). Ice runoff is the runoff from the bare ice glacier bands, and debris-covered ice runoff is the runoff from the debris-covered ice bands, and both are summed in the glacier runoff with debris representation. Glacier ice without debris-covered ice representation is the glacier runoff from bare ice with a larger area, as debris-covered ice is also considered bare ice. Shaded areas show the standard deviation of the five ensembles. diff --git a/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/manifest.json b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..ae9144e5616fd67c262fe2a2254c144ee8d94b82 --- /dev/null +++ b/Media/2025/Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut/manifest.json @@ -0,0 +1,486 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Shokory et al. - 2025 - Glacier-influenced hydrological regimes in the Afghanistan Hindu Kush Himalaya under current and fut.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 17, + "items": [ + { + "kind": "figure", + "label": "figure_01", + "page": 3, + "caption": "Geographical map of Afghanistan showing the five major river basins, the three catchments used in this study, and the corre- sponding hydro-climate stations (AT stands for air temperature, PPT for precipitation, and RD for river discharge).", + "image": "figure_01.jpg", + "caption_file": "figure_01.txt", + "figure_bbox_points": [ + 42.47, + 342.55, + 546.67, + 702.3 + ], + "caption_bbox_points": [ + 43.43, + 703.73, + 541.26, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 183413, + "jpeg_quality": 79, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_01", + "page": 4, + "caption": "Characteristics of the three catchments used in this study", + "image": "table_01.jpg", + "caption_file": "table_01.txt", + "figure_bbox_points": [ + 61.01, + 85.16, + 569.02, + 219.51 + ], + "caption_bbox_points": [ + 64.01, + 76.93, + 312.6, + 85.16 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 50458, + "jpeg_quality": 88, + "data_file": "table_01.json", + "structure_extracted": false, + "row_count": 10, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_02", + "page": 5, + "caption": "Illustration of the model workflow used in this study. 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The star symbol shows the mean seasonal value for particular periods.", + "image": "figure_07.jpg", + "caption_file": "figure_07.txt", + "figure_bbox_points": [ + 129.04, + 77.28, + 460.08, + 658.42 + ], + "caption_bbox_points": [ + 43.43, + 659.91, + 545.51, + 718.14 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 181734, + "jpeg_quality": 79, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_08", + "page": 18, + "caption": "Mean annual runoff component presented under two scenarios (a–c, RCP 2.6 and d–f RCP 8.5), and for three catchments, (a) Sust, (b) Taqchakhana, and (c) Bamyan. R&S indicates rain and snow runoff. The shading indicates the standard deviation of the five ensembles.", + "image": "figure_08.jpg", + "caption_file": "figure_08.txt", + "figure_bbox_points": [ + 63.0, + 77.28, + 567.19, + 405.91 + ], + "caption_bbox_points": [ + 64.01, + 407.45, + 566.08, + 425.66 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 168740, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "table", + "label": "table_06", + "page": 18, + "caption": "Model results with debris cover representations, changes in streamflow components (mm) under two RCPs (2.6", + "image": "table_06.jpg", + "caption_file": "table_06.txt", + "figure_bbox_points": [ + 61.01, + 463.7, + 569.02, + 703.72 + ], + "caption_bbox_points": [ + 64.01, + 455.47, + 509.21, + 463.7 + ], + "crop_method": "ruled_table", + "position_relative_to_caption": "below", + "image_size_bytes": 179103, + "jpeg_quality": 88, + "data_file": "table_06.json", + "structure_extracted": false, + "row_count": 2, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_09", + "page": 19, + "caption": "Changes in projected streamflow with different runoff components for the three catchments. (Left) Mean monthly runoff for the baseline period 2020s (mean over 2000–2020). (right) changes in mean monthly runoff over 2060 and 2100s under two RCPs (2.6 and 8.5).", + "image": "figure_09.jpg", + "caption_file": "figure_09.txt", + "figure_bbox_points": [ + 49.1, + 77.28, + 539.88, + 697.99 + ], + "caption_bbox_points": [ + 43.43, + 699.53, + 545.5, + 717.74 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 193751, + "jpeg_quality": 50, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_10", + "page": 20, + "caption": "Glacier runoff (with and without debris cover ice representations) response to the projected climate under two RCPs (2.6 and 8.5) for three catchments (Sust catchment a, b; Taqchakhana catchment c, d; and Bamyan catchment e, f). Ice runoff is the runoff from the bare ice glacier bands, and debris-covered ice runoff is the runoff from the debris-covered ice bands, and both are summed in the glacier runoff with debris representation. Glacier ice without debris-covered ice representation is the glacier runoff from bare ice with a larger area, as debris-covered ice is also considered bare ice. 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"1", + "bbox_points": [ + 264.92, + 144.85, + 269.34, + 152.87 + ] + }, + { + "text": "bar", + "bbox_points": [ + 271.73, + 144.85, + 283.46, + 152.87 + ] + }, + { + "text": "thermal", + "bbox_points": [ + 325.64, + 144.85, + 353.61, + 152.87 + ] + }, + { + "text": "energy", + "bbox_points": [ + 355.98, + 144.85, + 379.88, + 152.87 + ] + }, + { + "text": "(steam)", + "bbox_points": [ + 382.22, + 144.75, + 408.61, + 152.87 + ] + }, + { + "text": "steam", + "bbox_points": [ + 504.28, + 144.85, + 525.14, + 152.87 + ] + }, + { + "text": "cycle", + "bbox_points": [ + 527.53, + 144.85, + 545.86, + 152.87 + ] + }, + { + "text": "of", + "bbox_points": [ + 548.22, + 144.85, + 555.29, + 152.87 + ] + } + ] + }, + { + "text": "required NPP", + "bbox_points": [ + 325.65, + 155.4, + 521.03, + 163.42 + ], + "words": [ + { + "text": "required", + "bbox_points": [ + 325.65, + 155.4, + 355.48, + 163.41 + ] + }, + { + "text": "NPP", + "bbox_points": [ + 504.28, + 155.4, + 521.03, + 163.42 + ] + } + ] + }, + { + "text": "Output: 1 to 10 ppm Titanium tubes – Electric energy", + "bbox_points": [ + 233.07, + 169.12, + 550.41, + 177.42 + ], + "words": [ + { + "text": "Output:", + "bbox_points": [ + 233.07, + 169.4, + 261.02, + 177.42 + ] + }, + { + "text": "1", + "bbox_points": [ + 263.4, + 169.4, + 267.81, + 177.42 + ] + }, + { + "text": "to", + "bbox_points": [ + 270.2, + 169.4, + 277.35, + 177.42 + ] + }, + { + "text": "10", + "bbox_points": [ + 279.72, + 169.4, + 288.56, + 177.42 + ] + }, + { + "text": "ppm", + "bbox_points": [ + 290.95, + 169.4, + 307.1, + 177.42 + ] + }, + { + "text": "Titanium", + "bbox_points": [ + 423.1, + 169.4, + 455.81, + 177.42 + ] + }, + { + "text": "tubes", + "bbox_points": [ + 458.14, + 169.4, + 477.03, + 177.42 + ] + }, + { + "text": "–", + "bbox_points": [ + 479.4, + 169.12, + 483.4, + 177.12 + ] + }, + { + "text": "Electric", + "bbox_points": [ + 496.29, + 169.4, + 524.18, + 177.42 + ] + }, + { + "text": "energy", + "bbox_points": [ + 526.51, + 169.4, + 550.41, + 177.42 + ] + } + ] + }, + { + "text": "40 years from grid", + "bbox_points": [ + 431.09, + 179.89, + 537.79, + 187.91 + ], + "words": [ + { + "text": "40", + "bbox_points": [ + 431.09, + 179.89, + 439.93, + 187.91 + ] + }, + { + "text": "years", + "bbox_points": [ + 442.32, + 179.89, + 460.77, + 187.91 + ] + }, + { + "text": "from", + "bbox_points": [ + 504.28, + 179.89, + 521.36, + 187.91 + ] + }, + { + "text": "grid", + "bbox_points": [ + 523.73, + 179.89, + 537.79, + 187.91 + ] + } + ] + }, + { + "text": "Brine temperature", + "bbox_points": [ + 233.07, + 193.89, + 298.47, + 201.91 + ], + "words": [ + { + "text": "Brine", + "bbox_points": [ + 233.07, + 193.89, + 252.87, + 201.91 + ] + }, + { + "text": "temperature", + "bbox_points": [ + 255.23, + 193.89, + 298.47, + 201.91 + ] + } + ] + }, + { + "text": "60 to 70 °C", + "bbox_points": [ + 241.06, + 204.38, + 280.67, + 212.4 + ], + "words": [ + { + "text": "60", + "bbox_points": [ + 241.06, + 204.38, + 249.89, + 212.4 + ] + }, + { + "text": "to", + "bbox_points": [ + 252.29, + 204.38, + 259.44, + 212.4 + ] + }, + { + "text": "70", + "bbox_points": [ + 261.81, + 204.38, + 270.64, + 212.4 + ] + }, + { + "text": "°C", + "bbox_points": [ + 272.19, + 204.38, + 280.67, + 212.4 + ] + } + ] + }, + { + "text": "MSF Thermally driven direct Feed water up to 3.5 to 4.5 kW/m2 electric Copper nickel Thermally coupled", + "bbox_points": [ + 64.01, + 216.85, + 563.93, + 226.4 + ], + "words": [ + { + "text": "MSF", + "bbox_points": [ + 64.01, + 218.38, + 81.24, + 226.4 + ] + }, + { + "text": "Thermally", + "bbox_points": [ + 115.94, + 218.38, + 152.55, + 226.4 + ] + }, + { + "text": "driven", + "bbox_points": [ + 154.94, + 218.38, + 177.75, + 226.4 + ] + }, + { + "text": "direct", + "bbox_points": [ + 180.12, + 218.38, + 200.56, + 226.4 + ] + }, + { + "text": "Feed", + "bbox_points": [ + 233.07, + 218.38, + 250.23, + 226.4 + ] + }, + { + "text": "water", + "bbox_points": [ + 252.57, + 218.38, + 272.45, + 226.4 + ] + }, + { + "text": "up", + "bbox_points": [ + 274.85, + 218.38, + 284.0, + 226.4 + ] + }, + { + "text": "to", + "bbox_points": [ + 286.36, + 218.38, + 293.51, + 226.4 + ] + }, + { + "text": "3.5", + "bbox_points": [ + 317.65, + 218.38, + 328.48, + 226.4 + ] + }, + { + "text": "to", + "bbox_points": [ + 330.86, + 218.38, + 338.01, + 226.4 + ] + }, + { + "text": "4.5", + "bbox_points": [ + 340.39, + 218.38, + 351.22, + 226.4 + ] + }, + { + "text": "kW/m2", + "bbox_points": [ + 353.6, + 216.85, + 380.32, + 226.4 + ] + }, + { + "text": "electric", + "bbox_points": [ + 382.73, + 218.38, + 409.13, + 226.4 + ] + }, + { + "text": "Copper", + "bbox_points": [ + 423.1, + 218.38, + 449.54, + 226.4 + ] + }, + { + "text": "nickel", + "bbox_points": [ + 451.9, + 218.38, + 473.7, + 226.4 + ] + }, + { + "text": "Thermally", + "bbox_points": [ + 496.29, + 218.38, + 533.01, + 226.4 + ] + }, + { + "text": "coupled", + "bbox_points": [ + 535.29, + 218.38, + 563.93, + 226.4 + ] + } + ] + }, + { + "text": "vacuum evaporative 45,000 ppm with energy and 220 kJ/kg alloys – 25 with second", + "bbox_points": [ + 123.93, + 228.59, + 547.82, + 236.89 + ], + "words": [ + { + "text": "vacuum", + "bbox_points": [ + 123.93, + 228.87, + 152.19, + 236.89 + ] + }, + { + "text": "evaporative", + "bbox_points": [ + 154.55, + 228.87, + 195.85, + 236.89 + ] + }, + { + "text": "45,000", + "bbox_points": [ + 241.06, + 228.87, + 265.14, + 236.89 + ] + }, + { + "text": "ppm", + "bbox_points": [ + 267.48, + 228.87, + 283.63, + 236.89 + ] + }, + { + "text": "with", + "bbox_points": [ + 286.02, + 228.87, + 301.99, + 236.89 + ] + }, + { + "text": "energy", + "bbox_points": [ + 325.64, + 228.87, + 349.55, + 236.89 + ] + }, + { + "text": "and", + "bbox_points": [ + 351.72, + 228.87, + 365.2, + 236.89 + ] + }, + { + "text": "220", + "bbox_points": [ + 367.6, + 228.87, + 380.85, + 236.89 + ] + }, + { + "text": "kJ/kg", + "bbox_points": [ + 383.19, + 228.87, + 402.66, + 236.89 + ] + }, + { + "text": "alloys", + "bbox_points": [ + 431.09, + 228.87, + 451.6, + 236.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 454.0, + 228.59, + 458.0, + 236.59 + ] + }, + { + "text": "25", + "bbox_points": [ + 460.4, + 228.87, + 469.23, + 236.89 + ] + }, + { + "text": "with", + "bbox_points": [ + 504.28, + 228.87, + 520.26, + 236.89 + ] + }, + { + "text": "second", + "bbox_points": [ + 522.59, + 228.87, + 547.82, + 236.89 + ] + } + ] + }, + { + "text": "process below 1 bar thermal energy is years steam cycle of", + "bbox_points": [ + 123.93, + 239.36, + 555.29, + 247.38 + ], + "words": [ + { + "text": "process", + "bbox_points": [ + 123.93, + 239.36, + 150.7, + 247.38 + ] + }, + { + "text": "below", + "bbox_points": [ + 241.06, + 239.36, + 262.52, + 247.38 + ] + }, + { + "text": "1", + "bbox_points": [ + 264.93, + 239.36, + 269.34, + 247.38 + ] + }, + { + "text": "bar", + "bbox_points": [ + 271.73, + 239.36, + 283.47, + 247.38 + ] + }, + { + "text": "thermal", + "bbox_points": [ + 325.64, + 239.36, + 353.61, + 247.38 + ] + }, + { + "text": "energy", + "bbox_points": [ + 355.97, + 239.36, + 379.88, + 247.38 + ] + }, + { + "text": "is", + "bbox_points": [ + 382.22, + 239.36, + 387.88, + 247.38 + ] + }, + { + "text": "years", + "bbox_points": [ + 431.09, + 239.36, + 449.6, + 247.37 + ] + }, + { + "text": "steam", + "bbox_points": [ + 504.28, + 239.36, + 525.14, + 247.37 + ] + }, + { + "text": "cycle", + "bbox_points": [ + 527.53, + 239.36, + 545.85, + 247.37 + ] + }, + { + "text": "of", + "bbox_points": [ + 548.22, + 239.36, + 555.29, + 247.37 + ] + } + ] + }, + { + "text": "required NPP", + "bbox_points": [ + 325.64, + 249.9, + 521.03, + 257.92 + ], + "words": [ + { + "text": "required", + "bbox_points": [ + 325.64, + 249.9, + 355.48, + 257.92 + ] + }, + { + "text": "NPP", + "bbox_points": [ + 504.28, + 249.9, + 521.03, + 257.92 + ] + } + ] + }, + { + "text": "Output: 1 to 10 ppm Electric energy", + "bbox_points": [ + 233.07, + 263.91, + 550.41, + 271.92 + ], + "words": [ + { + "text": "Output:", + "bbox_points": [ + 233.07, + 263.91, + 261.02, + 271.92 + ] + }, + { + "text": "1", + "bbox_points": [ + 263.4, + 263.91, + 267.81, + 271.92 + ] + }, + { + "text": "to", + "bbox_points": [ + 270.2, + 263.91, + 277.35, + 271.92 + ] + }, + { + "text": "10", + "bbox_points": [ + 279.72, + 263.91, + 288.56, + 271.92 + ] + }, + { + "text": "ppm", + "bbox_points": [ + 290.95, + 263.91, + 307.1, + 271.92 + ] + }, + { + "text": "Electric", + "bbox_points": [ + 496.29, + 263.91, + 524.18, + 271.92 + ] + }, + { + "text": "energy", + "bbox_points": [ + 526.51, + 263.91, + 550.41, + 271.92 + ] + } + ] + }, + { + "text": "from grid", + "bbox_points": [ + 504.28, + 274.39, + 537.79, + 282.41 + ], + "words": [ + { + "text": "from", + "bbox_points": [ + 504.28, + 274.39, + 521.36, + 282.41 + ] + }, + { + "text": "grid", + "bbox_points": [ + 523.73, + 274.39, + 537.79, + 282.41 + ] + } + ] + }, + { + "text": "Brine temperature", + "bbox_points": [ + 233.07, + 288.4, + 298.46, + 296.41 + ], + "words": [ + { + "text": "Brine", + "bbox_points": [ + 233.07, + 288.4, + 252.87, + 296.41 + ] + }, + { + "text": "temperature", + "bbox_points": [ + 255.23, + 288.4, + 298.46, + 296.41 + ] + } + ] + }, + { + "text": "100 to 120 °C", + "bbox_points": [ + 241.06, + 298.88, + 289.51, + 306.9 + ], + "words": [ + { + "text": "100", + "bbox_points": [ + 241.06, + 298.88, + 254.31, + 306.9 + ] + }, + { + "text": "to", + "bbox_points": [ + 256.71, + 298.88, + 263.86, + 306.9 + ] + }, + { + "text": "120", + "bbox_points": [ + 266.23, + 298.88, + 279.48, + 306.9 + ] + }, + { + "text": "°C", + "bbox_points": [ + 281.03, + 298.88, + 289.51, + 306.9 + ] + } + ] + }, + { + "text": "RO Selectively permeable Feed water 35000- 3 to 6 kW/m2 electric 5 to 8 years (life Electrically", + "bbox_points": [ + 64.01, + 311.36, + 536.92, + 320.91 + ], + "words": [ + { + "text": "RO", + "bbox_points": [ + 64.01, + 312.89, + 76.14, + 320.9 + ] + }, + { + "text": "Selectively", + "bbox_points": [ + 115.94, + 312.89, + 154.16, + 320.9 + ] + }, + { + "text": "permeable", + "bbox_points": [ + 156.53, + 312.89, + 194.17, + 320.9 + ] + }, + { + "text": "Feed", + "bbox_points": [ + 233.06, + 312.89, + 250.23, + 320.9 + ] + }, + { + "text": "water", + "bbox_points": [ + 252.57, + 312.89, + 272.45, + 320.9 + ] + }, + { + "text": "35000-", + "bbox_points": [ + 274.85, + 312.89, + 299.01, + 320.9 + ] + }, + { + "text": "3", + "bbox_points": [ + 317.65, + 312.89, + 322.07, + 320.9 + ] + }, + { + "text": "to", + "bbox_points": [ + 324.45, + 312.89, + 331.6, + 320.9 + ] + }, + { + "text": "6", + "bbox_points": [ + 333.98, + 312.89, + 338.39, + 320.9 + ] + }, + { + "text": "kW/m2", + "bbox_points": [ + 340.78, + 311.36, + 367.51, + 320.9 + ] + }, + { + "text": "electric", + "bbox_points": [ + 369.92, + 312.89, + 396.31, + 320.91 + ] + }, + { + "text": "5", + "bbox_points": [ + 423.1, + 312.89, + 427.51, + 320.91 + ] + }, + { + "text": "to", + "bbox_points": [ + 429.9, + 312.89, + 437.05, + 320.91 + ] + }, + { + "text": "8", + "bbox_points": [ + 439.43, + 312.89, + 443.84, + 320.91 + ] + }, + { + "text": "years", + "bbox_points": [ + 446.23, + 312.89, + 464.73, + 320.91 + ] + }, + { + "text": "(life", + "bbox_points": [ + 467.09, + 312.89, + 480.99, + 320.91 + ] + }, + { + "text": "Electrically", + "bbox_points": [ + 496.29, + 312.89, + 536.92, + 320.91 + ] + } + ] + }, + { + "text": "membrane driven with 45000 ppm, energy of membrane coupled with", + "bbox_points": [ + 123.93, + 323.37, + 551.21, + 331.39 + ], + "words": [ + { + "text": "membrane", + "bbox_points": [ + 123.93, + 323.38, + 162.18, + 331.39 + ] + }, + { + "text": "driven", + "bbox_points": [ + 164.52, + 323.38, + 187.33, + 331.39 + ] + }, + { + "text": "with", + "bbox_points": [ + 189.7, + 323.38, + 205.67, + 331.39 + ] + }, + { + "text": "45000", + "bbox_points": [ + 241.06, + 323.37, + 263.14, + 331.39 + ] + }, + { + "text": "ppm,", + "bbox_points": [ + 265.49, + 323.37, + 283.64, + 331.39 + ] + }, + { + "text": "energy", + "bbox_points": [ + 325.64, + 323.38, + 349.55, + 331.39 + ] + }, + { + "text": "of", + "bbox_points": [ + 431.09, + 323.38, + 438.16, + 331.39 + ] + }, + { + "text": "membrane", + "bbox_points": [ + 440.56, + 323.38, + 478.81, + 331.39 + ] + }, + { + "text": "coupled", + "bbox_points": [ + 504.28, + 323.38, + 532.91, + 331.39 + ] + }, + { + "text": "with", + "bbox_points": [ + 535.24, + 323.38, + 551.21, + 331.39 + ] + } + ] + }, + { + "text": "osmotic pressure. Fresh required 50-60 bar module) NPP", + "bbox_points": [ + 123.93, + 333.86, + 521.03, + 341.88 + ], + "words": [ + { + "text": "osmotic", + "bbox_points": [ + 123.93, + 333.86, + 152.32, + 341.88 + ] + }, + { + "text": "pressure.", + "bbox_points": [ + 154.66, + 333.86, + 186.4, + 341.88 + ] + }, + { + "text": "Fresh", + "bbox_points": [ + 188.79, + 333.86, + 208.57, + 341.88 + ] + }, + { + "text": "required", + "bbox_points": [ + 241.06, + 333.86, + 270.89, + 341.88 + ] + }, + { + "text": "50-60", + "bbox_points": [ + 273.32, + 333.86, + 293.06, + 341.88 + ] + }, + { + "text": "bar", + "bbox_points": [ + 295.37, + 333.86, + 307.11, + 341.88 + ] + }, + { + "text": "module)", + "bbox_points": [ + 431.09, + 333.87, + 460.89, + 341.88 + ] + }, + { + "text": "NPP", + "bbox_points": [ + 504.28, + 333.87, + 521.03, + 341.88 + ] + } + ] + }, + { + "text": "water passes across the pressure", + "bbox_points": [ + 123.93, + 344.35, + 270.85, + 352.37 + ], + "words": [ + { + "text": "water", + 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2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_03.txt b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2781e6199c80462afb6c6eaaab722b7c702fc7c --- /dev/null +++ b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_03.txt @@ -0,0 +1 @@ +The CN value corresponding to each precipitation event. diff --git a/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_04.jpg b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0ef885b8979f703d0743115a49040835eba1387a --- /dev/null +++ b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b769e8ea8099ec750add0af5ed48553f377c4f39d04b63a12d7434ac360a9aec +size 46378 diff --git a/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_04.txt b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..50f37785cdebec6c7261dbb9a011c967e6205b4e --- /dev/null +++ b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_04.txt @@ -0,0 +1 @@ +Evaluation index of the calculated value model and empirical value model. diff --git a/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_05.jpg b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..55098b2ca3b2c1bab6c960082ad4faeaf15de8f6 --- /dev/null +++ b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e15bd47119f1520d1965f4bfc1499384971fa5390243fd8b3d6fe520bfa7637b +size 101819 diff --git a/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_05.txt b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a83fa2bf1a8dd047b2698521c84632fe9ba606c --- /dev/null +++ b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_05.txt @@ -0,0 +1 @@ +Simulation of precipitation events in 2018–2019. (a) Simulation of precipitation events from 3 to 20 mm. (b) Simulation of pre- cipitation events above 20 mm. diff --git a/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_06.jpg b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c40b40072d0491670c831220b3c4634cc14a1cd7 --- /dev/null +++ b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:370f9ac9be0f21906419a60cae204772d6057dcc756ea7ea528a4254ef4c2add +size 88904 diff --git a/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_06.txt b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..19fc5c3e9572a5cc79f07fd98ae79aa56ffdd8a0 --- /dev/null +++ b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_06.txt @@ -0,0 +1 @@ +Simulation of precipitation events in 2020–2022. (a) Simulation of precipitation events from 3 to 20 mm. (b) Simulation of pre- cipitation events above 20 mm. diff --git a/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_07.jpg b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7076203a41227ff34577d43e056a9983c99a3683 --- /dev/null +++ b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:428fd1fb2af6a797bb190148d28d434c0ecbce63a1365c8c48608451bbef0759 +size 149415 diff --git a/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_07.txt b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..4ba4fe214e38776391f1a69ef75eb7cf68bd8e1a --- /dev/null +++ b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_07.txt @@ -0,0 +1 @@ +Comparison of rainfall–runoff of different models in chronological order. diff --git a/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_08.jpg b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cdeabbda07bbd8fe5fcc653a9fb5ab95d89b4a90 --- /dev/null +++ b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:eea8d6555a8bdfce35e3b8c70fdc13d6714aaccdf5dbf12a2af51c05ee931e7b +size 118460 diff --git a/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_08.txt b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..77cc7194d752768f56321788ceb2061a7775505e --- /dev/null +++ b/Media/2025/Sun and Liu - 2025 - The impact of rainfall value on the accuracy of the SCS-CN model selection of model parameters/figure_08.txt @@ -0,0 +1 @@ +Comparison of runoff curves under moderate rain events: (a) 23 June 2022: comparison of runoff curves. 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evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_01.txt b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..8baf27a6004f74ab0e5a98b8e911d5b129806142 --- /dev/null +++ b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_01.txt @@ -0,0 +1 @@ +Virucidal activity of different OW concentrations against AdV40. The virus solution containing AdV40 with 7% FBS (virus titer: 6.0 log10 TCID50/mL) was mixed with OW (ozone concentration: 2, 4, or 8 ppm) at ratios of (left) 1:9, (center) 1:19, and (right) 1:99. Virus solution mixed with UPW served as a negative control. After a 20-s reaction time, the virus titers of the mixtures were evaluated. The detection limit of the virus titer was 1.25 log10 TCID50/mL. Error bars indicate mean + SD (n ¼ 8–16). Student’s t test or Welch’s t test was performed to analyze the statistical significance of the differences between the UPW and each OW group; *p , 0.05, **p , 0.01, and ***p , 0.001. The data of the mean + SD of each group is shown in Supplementary material, Table S1. OW, ozonated water; AdV40, human ade- novirus type 40; FBS, fetal bovine serum; TCID50, 50% tissue culture infectious dose; UPW, ultra-pure water; SD, standard deviation. diff --git a/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_02.jpg b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5c81298828c543d8b2809b06d76646772b6a93d2 --- /dev/null +++ b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:745891411f30ff92b5d22b36564aee0f945ae92891fef774d01c902b469def1d +size 98206 diff --git a/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_02.txt b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..725e0bcd997a0c0d5debcf6216ae410b9d166404 --- /dev/null +++ b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_02.txt @@ -0,0 +1 @@ +Comparison of virucidal activities of OW, PVPI, and EtOH against AdV40. Virus solution containing AdV40 with 7% FBS (virus titer: 6.0 log10 TCID50/mL) was mixed with (a) OW (ozone concentration: 2, 4, or 8 ppm), (b) PVPI (iodine concentration: 0.025, 0.033, or 0.050%), or (c) EtOH (concentration: 60, 70, or 80%) at a ratio of 1:19. Virus solution mixed with UPW served as a negative control. After a (left) 20-s, (center) 3-min, or (right) 10- min reaction time, the virus titers of the mixtures were evaluated. The detection limits of the virus titer were (a, b) 1.25 log10 TCID50/mL and (c) 2.25 log10 TCID50/mL. Error bars indicate mean + SD [n ¼ (a) 8–16, (b) 9–12, and (c) 4–12]. Student’s t test or Welch’s t test was performed to analyze the statistical significance of the differences between the UPW and each test solution group; *p , 0.05, **p , 0.01, and ***p , 0.001. The data of the mean + SD of each group is shown in Supplementary material, Table S2. OW, ozonated water; PVPI, povidone-iodine; EtOH, ethanol; AdV40, human adenovirus type 40; FBS, fetal bovine serum; TCID50, 50% tissue culture infec- tious dose; UPW, ultra-pure water; SD, standard deviation. diff --git a/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_03.jpg b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a3618408fc5b24da00e78518b6679244b9192950 --- /dev/null +++ b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a1a4ee27bd872de607855754afc63c35a1d57f916d5a2a2fc9578943f291d269 +size 58357 diff --git a/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_03.txt b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8549af75fb781a4fb9aecfed72488c61d0a0996 --- /dev/null +++ b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_03.txt @@ -0,0 +1 @@ +Effect of protein presence on the virucidal activities of OW, PVPI, and EtOH against AdV40. The virus solution containing AdV40 with 4.2, 24.2, or 44.2% FBS (virus titer: 5.8 log10 TCID50/mL) was mixed with (a) OW (ozone concentration: 8 ppm), (b) PVPI (iodine concentration: 0.050%), or (c) EtOH (concentration: 80%) at ratios of 1:19. Virus solution mixed with UPW served as a negative control. After a 10-min reaction time, the virus titers of the mixtures were evaluated. The detection limits of the virus titer were (a, b) 1.25 log10 TCID50/mL and (c) 2.25 log10 TCID50/mL. Error bars indicate mean + SD [n ¼ (a) 8, (b) 4–5, and (c) 6–8]. Student’s t test or Welch’s t test was performed to analyze the statistical significance of the differences between the UPW and each test solution group; ***p , 0.001. The data of the mean + SD of each group is shown in Supplementary material, Table S3. OW, ozonated water; PVPI, povidone-iodine; EtOH, ethanol; AdV40, human adenovirus type 40; FBS, fetal bovine serum; TCID50, 50% tissue culture infectious dose; UPW, ultra-pure water; SD, standard deviation. diff --git a/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_04.jpg b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e28e81e3fe939c298120a2cd5955702c82bfb2d3 --- /dev/null +++ b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e8608f7da47e29047ad9ad6b91749f2ab5da572ab2eaf1254e645ee2deb0d799 +size 58134 diff --git a/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_04.txt b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..270a3058bed9c8156885bc7ed220ea3c761a4cbb --- /dev/null +++ b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/figure_04.txt @@ -0,0 +1 @@ +Effect of OW, PVPI, and EtOH on AdV40 genome. Virus solution containing AdV40 with 7% FBS (virus titer: 6.0 log10 TCID50/mL) was mixed with 8 ppm OW, 0.050% PVPI, or 80% EtOH at ratios of (a) 1:19 or (b) 1:99. Virus solution mixed with UPW served as a negative control. After a 0- or 20-s reaction time, PCR targeting the AdV40 genome was performed. The number of cycles for the amplification step were (a) 21 cycles and (b) 25 cycles, respectively. The images of PCR products are shown. The arrows indicate the specific bands of the target gene (approximately 300 bp). OW, ozonated water; PVPI, povidone-iodine; EtOH, ethanol; AdV40, human adenovirus type 40; FBS, fetal bovine serum; TCID50, 50% tissue culture infectious dose; UPW, ultra-pure water; PCR, polymerase chain reaction; M, marker. diff --git a/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/graphic_abstract.jpg b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..12c39ce5699cc975bc31eab457f34137a7eb248f --- /dev/null +++ b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5065056c50e5a7e8938778dda40afc323eabde0b4afdd14ab2c145d1f073ace6 +size 90763 diff --git a/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/manifest.json b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4934715160c95c611d1865058e057f0690c90040 --- /dev/null +++ b/Media/2025/Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a/manifest.json @@ -0,0 +1,150 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Takeda et al. - 2025 - Comparative evaluation of the virucidal activities of ozonated water, povidone-iodine, and ethanol a.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": [ + 58.01, + 84.99, + 568.1, + 304.2 + ], + "caption_bbox_points": [ + 64.01, + 79.48, + 151.73, + 87.48 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 90763, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 5, + "caption": "Virucidal activity of different OW concentrations against AdV40. The virus solution containing AdV40 with 7% FBS (virus titer: 6.0 log10 TCID50/mL) was mixed with OW (ozone concentration: 2, 4, or 8 ppm) at ratios of (left) 1:9, (center) 1:19, and (right) 1:99. Virus solution mixed with UPW served as a negative control. After a 20-s reaction time, the virus titers of the mixtures were evaluated. The detection limit of the virus titer was 1.25 log10 TCID50/mL. Error bars indicate mean + SD (n ¼ 8–16). Student’s t test or Welch’s t test was performed to analyze the statistical significance of the differences between the UPW and each OW group; *p , 0.05, **p , 0.01, and ***p , 0.001. The data of the mean + SD of each group is shown in Supplementary material, Table S1. OW, ozonated water; AdV40, human ade- novirus type 40; FBS, fetal bovine serum; TCID50, 50% tissue culture infectious dose; UPW, ultra-pure water; SD, standard deviation.", + "image": "figure_01.jpg", + "caption_file": "figure_01.txt", + "figure_bbox_points": [ + 108.46, + 77.28, + 480.46, + 222.79 + ], + "caption_bbox_points": [ + 43.43, + 224.33, + 545.49, + 293.36 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 39828, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_02", + "page": 6, + "caption": "Comparison of virucidal activities of OW, PVPI, and EtOH against AdV40. Virus solution containing AdV40 with 7% FBS (virus titer: 6.0 log10 TCID50/mL) was mixed with (a) OW (ozone concentration: 2, 4, or 8 ppm), (b) PVPI (iodine concentration: 0.025, 0.033, or 0.050%), or (c) EtOH (concentration: 60, 70, or 80%) at a ratio of 1:19. Virus solution mixed with UPW served as a negative control. After a (left) 20-s, (center) 3-min, or (right) 10- min reaction time, the virus titers of the mixtures were evaluated. The detection limits of the virus titer were (a, b) 1.25 log10 TCID50/mL and (c) 2.25 log10 TCID50/mL. Error bars indicate mean + SD [n ¼ (a) 8–16, (b) 9–12, and (c) 4–12]. Student’s t test or Welch’s t test was performed to analyze the statistical significance of the differences between the UPW and each test solution group; *p , 0.05, **p , 0.01, and ***p , 0.001. The data of the mean + SD of each group is shown in Supplementary material, Table S2. OW, ozonated water; PVPI, povidone-iodine; EtOH, ethanol; AdV40, human adenovirus type 40; FBS, fetal bovine serum; TCID50, 50% tissue culture infec- tious dose; UPW, ultra-pure water; SD, standard deviation.", + "image": "figure_02.jpg", + "caption_file": "figure_02.txt", + "figure_bbox_points": [ + 128.99, + 77.28, + 500.99, + 443.73 + ], + "caption_bbox_points": [ + 64.01, + 445.21, + 566.09, + 533.43 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 98206, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_03", + "page": 7, + "caption": "Effect of protein presence on the virucidal activities of OW, PVPI, and EtOH against AdV40. The virus solution containing AdV40 with 4.2, 24.2, or 44.2% FBS (virus titer: 5.8 log10 TCID50/mL) was mixed with (a) OW (ozone concentration: 8 ppm), (b) PVPI (iodine concentration: 0.050%), or (c) EtOH (concentration: 80%) at ratios of 1:19. Virus solution mixed with UPW served as a negative control. After a 10-min reaction time, the virus titers of the mixtures were evaluated. The detection limits of the virus titer were (a, b) 1.25 log10 TCID50/mL and (c) 2.25 log10 TCID50/mL. Error bars indicate mean + SD [n ¼ (a) 8, (b) 4–5, and (c) 6–8]. Student’s t test or Welch’s t test was performed to analyze the statistical significance of the differences between the UPW and each test solution group; ***p , 0.001. The data of the mean + SD of each group is shown in Supplementary material, Table S3. OW, ozonated water; PVPI, povidone-iodine; EtOH, ethanol; AdV40, human adenovirus type 40; FBS, fetal bovine serum; TCID50, 50% tissue culture infectious dose; UPW, ultra-pure water; SD, standard deviation.", + "image": "figure_03.jpg", + "caption_file": "figure_03.txt", + "figure_bbox_points": [ + 108.46, + 77.28, + 480.46, + 261.23 + ], + "caption_bbox_points": [ + 43.43, + 262.71, + 545.5, + 341.78 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 58357, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_04", + "page": 8, + "caption": "Effect of OW, PVPI, and EtOH on AdV40 genome. Virus solution containing AdV40 with 7% FBS (virus titer: 6.0 log10 TCID50/mL) was mixed with 8 ppm OW, 0.050% PVPI, or 80% EtOH at ratios of (a) 1:19 or (b) 1:99. Virus solution mixed with UPW served as a negative control. After a 0- or 20-s reaction time, PCR targeting the AdV40 genome was performed. The number of cycles for the amplification step were (a) 21 cycles and (b) 25 cycles, respectively. The images of PCR products are shown. The arrows indicate the specific bands of the target gene (approximately 300 bp). OW, ozonated water; PVPI, povidone-iodine; EtOH, ethanol; AdV40, human adenovirus type 40; FBS, fetal bovine serum; TCID50, 50% tissue culture infectious dose; UPW, ultra-pure water; PCR, polymerase chain reaction; M, marker.", + "image": "figure_04.jpg", + "caption_file": "figure_04.txt", + "figure_bbox_points": [ + 190.21, + 77.28, + 439.81, + 375.35 + ], + "caption_bbox_points": [ + 64.01, + 376.84, + 566.11, + 435.89 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 58134, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + } + ] +} \ No newline at end of file diff --git a/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_01.jpg b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1b3b8b8f35895bbf7e58d7a95dfe36d84b4dd604 --- /dev/null +++ b/Media/2025/Teuber et al. - 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2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_03.jpg b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..545f9b75611bf9774944423af765a9f370eb4e4a --- /dev/null +++ b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:fe3443f3563957db956d1b568af69604d581be58a7ec6ef94ff5b3d0cc26e493 +size 134523 diff --git a/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_03.txt b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c96e1fa2d5eb66ed4b1435a58271bc4acd74046 --- /dev/null +++ b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_03.txt @@ -0,0 +1 @@ +Comparison of measured data to results obtained from simulations for H2S for different stirring rates ((a) 300 rpm, (b) 400 rpm, and (c) 500 rpm). diff --git a/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_04.jpg b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..595af96f1d009aec015900a9d3871521ebfa2595 --- /dev/null +++ b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b995aa066a397452609c9ec68fd2f0590e30ad90ba0a45f0e47efc864e86f1af +size 92924 diff --git a/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_04.txt b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7802cf9051bc7d5a6a32b5848382d45e523ddef --- /dev/null +++ b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_04.txt @@ -0,0 +1 @@ +Comparison of measured data to results obtained from simulations for O2 for different stirring rates ((a) 300 rpm and (b) 500 rpm)). diff --git a/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_05.jpg b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7304af6b095717f33a5a2421c864ba218062a887 --- /dev/null +++ b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:833f982c392ffe5a0bb4626a29d4e85dc9902ec72063dd2cdd280945bb84aaa4 +size 78872 diff --git a/Media/2025/Teuber et al. - 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"5", + "bbox_points": [ + 542.15, + 236.36, + 545.47, + 241.7 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/table_02.txt b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe58818f385ba26e4c9477d51e44448624823452 --- /dev/null +++ b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/table_02.txt @@ -0,0 +1 @@ +Fluid properties as defined for the CFD simulations diff --git a/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/table_03.jpg b/Media/2025/Teuber et al. - 2025 - CFD simulation of turbulent mass transfer of H2S and O2 in a stirring tank/table_03.jpg new file mode 100644 index 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different meshes generated and their respective simulation times, final mesh in bold", + "page": 8, + "table_bbox_points": [ + 40.43, + 277.46, + 548.44, + 383.29 + ], + "caption_bbox_points": [ + 43.43, + 269.23, + 428.08, + 277.46 + ], + "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": "Approximately computation time (s)", + "bbox_points": [ + 432.62, + 292.03, + 545.44, + 298.03 + ], + "words": [ + { + "text": "Approximately", + "bbox_points": [ + 432.62, + 292.03, + 478.36, + 298.03 + ] + }, + { + "text": "computation", + "bbox_points": [ + 480.3, + 292.03, + 519.95, + 298.03 + ] + }, + { + "text": "time", + "bbox_points": [ + 521.91, + 292.03, + 536.03, + 298.03 + ] + }, + { + "text": "(s)", + "bbox_points": [ + 538.01, + 292.03, + 545.44, + 298.03 + ] + } + ] + }, + { + "text": "Tool Mesh Number of cells required per 1 s simulation time", + "bbox_points": [ + 43.43, + 301.04, + 532.46, + 307.04 + ], + "words": [ + { + "text": "Tool", + "bbox_points": [ + 43.43, + 301.04, + 56.47, + 307.04 + ] + }, + { + "text": "Mesh", + "bbox_points": [ + 152.33, + 301.04, + 169.39, + 307.04 + ] + }, + { + "text": "Number", + "bbox_points": [ + 334.49, + 301.04, + 359.35, + 307.04 + ] + }, + { + "text": "of", + "bbox_points": [ + 361.25, + 301.04, + 367.55, + 307.04 + ] + }, + { + "text": "cells", + "bbox_points": [ + 369.58, + 301.04, + 383.82, + 307.04 + ] + }, + { + "text": "required", + "bbox_points": [ + 432.62, + 301.04, + 459.0, + 307.04 + ] + }, + { + "text": "per", + "bbox_points": [ + 460.97, + 301.04, + 471.34, + 307.04 + ] + }, + { + "text": "1", + "bbox_points": [ + 473.33, + 301.04, + 476.83, + 307.04 + ] + }, + { + "text": "s", + "bbox_points": [ + 478.32, + 301.04, + 481.63, + 307.04 + ] + }, + { + "text": "simulation", + "bbox_points": [ + 483.65, + 301.04, + 516.33, + 307.04 + 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"bbox_points": [ + 454.22, + 340.67, + 457.55, + 348.69 + ] + } + ] + }, + { + "text": "snappyHexMesh Structured Coarse 421,725 2,400 s", + "bbox_points": [ + 43.43, + 354.67, + 457.55, + 362.69 + ], + "words": [ + { + "text": "snappyHexMesh", + "bbox_points": [ + 43.43, + 354.67, + 103.57, + 362.69 + ] + }, + { + "text": "Structured", + "bbox_points": [ + 152.33, + 354.67, + 190.05, + 362.69 + ] + }, + { + "text": "Coarse", + "bbox_points": [ + 250.47, + 354.67, + 275.25, + 362.69 + ] + }, + { + "text": "421,725", + "bbox_points": [ + 334.49, + 354.67, + 362.98, + 362.69 + ] + }, + { + "text": "2,400", + "bbox_points": [ + 432.62, + 354.67, + 452.29, + 362.69 + ] + }, + { + "text": "s", + "bbox_points": [ + 454.22, + 354.67, + 457.55, + 362.69 + ] + } + ] + }, + { + "text": "Structured Moderate 3,370,568 10,800 s", + "bbox_points": [ + 152.33, + 365.16, + 461.92, + 373.18 + ], + "words": [ + { + "text": "Structured", + "bbox_points": [ + 152.33, + 365.16, + 190.05, + 373.18 + ] + }, + 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(b) underground tank. diff --git a/Media/2025/Tucciarelli et al. - 2025 - Air intrusion in water distribution network (WDN) modelling/figure_02.jpg b/Media/2025/Tucciarelli et al. - 2025 - Air intrusion in water distribution network (WDN) modelling/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..2cf9db4b0e5a3964757b939db9b311f917b3374a --- /dev/null +++ b/Media/2025/Tucciarelli et al. - 2025 - Air intrusion in water distribution network (WDN) modelling/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a4b25dfe356b357e5cec5f9e9a39924496d7cc71beed1c193aaac4a6ebf67b8c +size 44448 diff --git a/Media/2025/Tucciarelli et al. - 2025 - Air intrusion in water distribution network (WDN) modelling/figure_02.txt b/Media/2025/Tucciarelli et al. - 2025 - Air intrusion in water distribution network (WDN) modelling/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..3748eb358e7f012818b1922c644479b75421436f --- /dev/null +++ b/Media/2025/Tucciarelli et al. - 2025 - Air intrusion in water distribution network (WDN) modelling/figure_02.txt @@ -0,0 +1 @@ +MDR solution (continuous lines) compared with HDR solution (dashed lines) and DDR solution (dotted lines) in a simple hypothetical water network in three different cases of water demand in node 2: (a) small demand (blue arrow). 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263.68 + ] + }, + { + "text": "Outflow", + "bbox_points": [ + 202.45, + 254.61, + 231.8, + 262.91 + ] + }, + { + "text": "fraction", + "bbox_points": [ + 234.2, + 254.89, + 261.89, + 262.91 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 264.25, + 254.61, + 301.68, + 262.91 + ] + }, + { + "text": "of", + "bbox_points": [ + 304.04, + 254.89, + 311.12, + 262.91 + ] + }, + { + "text": "the", + "bbox_points": [ + 313.51, + 254.89, + 324.83, + 262.91 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 327.17, + 254.89, + 342.65, + 262.91 + ] + }, + { + "text": "l", + "bbox_points": [ + 345.03, + 254.79, + 347.53, + 262.79 + ] + } + ] + }, + { + "text": "DD Demand-driven nodal flow estimation", + "bbox_points": [ + 64.01, + 268.62, + 338.39, + 276.91 + ], + "words": [ + { + "text": "DD", + "bbox_points": [ + 64.01, + 268.9, + 77.16, + 276.91 + ] + }, + { + "text": "Demand-driven", + "bbox_points": [ + 202.45, + 268.9, + 258.31, + 276.91 + ] + }, + { + "text": "nodal", + "bbox_points": [ + 260.68, + 268.9, + 281.06, + 276.91 + ] + }, + { + "text": "flow", + "bbox_points": [ + 283.46, + 268.62, + 298.92, + 276.91 + ] + }, + { + "text": "estimation", + "bbox_points": [ + 301.15, + 268.9, + 338.39, + 276.91 + ] + } + ] + }, + { + "text": "DN Set of Dirichlet nodes", + "bbox_points": [ + 64.01, + 281.02, + 281.22, + 290.92 + ], + "words": [ + { + "text": "DN", + "bbox_points": [ + 64.01, + 281.02, + 77.42, + 289.02 + ] + }, + { + "text": "Set", + "bbox_points": [ + 202.45, + 282.9, + 213.77, + 290.92 + ] + }, + { + "text": "of", + "bbox_points": [ + 216.17, + 282.9, + 223.24, + 290.92 + ] + }, + { + "text": "Dirichlet", + "bbox_points": [ + 225.64, + 282.9, + 257.68, + 290.92 + ] + }, + { + "text": "nodes", + "bbox_points": [ + 259.99, + 282.9, + 281.22, + 290.92 + ] + } + ] + }, + { + "text": "DS Diagonal matrix of saturated pipes", + "bbox_points": [ + 64.01, + 295.02, + 326.48, + 304.92 + ], + "words": [ + { + "text": "DS", + "bbox_points": [ + 64.01, + 295.02, + 76.01, + 303.02 + ] + }, + { + "text": "Diagonal", + "bbox_points": [ + 202.45, + 296.9, + 235.32, + 304.92 + ] + }, + { + "text": "matrix", + "bbox_points": [ + 237.71, + 296.9, + 260.88, + 304.92 + ] + }, + { + "text": "of", + "bbox_points": [ + 263.28, + 296.9, + 270.35, + 304.92 + ] + }, + { + "text": "saturated", + "bbox_points": [ + 272.75, + 296.9, + 305.33, + 304.92 + ] + }, + { + "text": "pipes", + "bbox_points": [ + 307.67, + 296.9, + 326.48, + 304.92 + ] + } + ] + }, + { + "text": "F", + "bbox_points": [ + 64.01, + 309.03, + 68.34, + 317.03 + ], + "words": [ + { + "text": "F", + "bbox_points": [ + 64.01, + 309.03, + 68.34, + 317.03 + ] + } + ] + }, + { + "text": "i Outlet flux at Dirichlet Node i", + "bbox_points": [ + 69.34, + 310.63, + 311.59, + 318.92 + ], + "words": [ + { + "text": "i", + "bbox_points": [ + 69.34, + 312.84, + 71.08, + 318.44 + ] + }, + { + "text": "Outlet", + "bbox_points": [ + 202.45, + 310.91, + 225.25, + 318.92 + ] + }, + { + "text": "flux", + "bbox_points": [ + 227.62, + 310.63, + 241.12, + 318.92 + ] + }, + { + "text": "at", + "bbox_points": [ + 243.5, + 310.91, + 250.04, + 318.92 + ] + }, + { + "text": "Dirichlet", + "bbox_points": [ + 252.45, + 310.91, + 284.49, + 318.92 + ] + }, + { + "text": "Node", + "bbox_points": [ + 286.81, + 310.91, + 306.71, + 318.92 + ] + }, + { + "text": "i", + "bbox_points": [ + 309.09, + 310.81, + 311.59, + 318.81 + ] + } + ] + }, + { + "text": "F", + "bbox_points": [ + 64.01, + 322.97, + 68.34, + 330.97 + ], + "words": [ + { + "text": "F", + "bbox_points": [ + 64.01, + 322.97, + 68.34, + 330.97 + ] + } + ] + }, + { + "text": "i,l Partition coefficient of the total discharge qouti among all the UP pipes sharing the upper DN node i", + "bbox_points": [ + 69.34, + 324.57, + 566.02, + 333.77 + ], + "words": [ + { + "text": "i,l", + "bbox_points": [ + 69.34, + 326.85, + 74.54, + 333.77 + ] + }, + { + "text": "Partition", + "bbox_points": [ + 202.45, + 324.85, + 233.72, + 332.87 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 236.13, + 324.57, + 273.5, + 332.87 + ] + }, + { + "text": "of", + "bbox_points": [ + 275.87, + 324.85, + 282.94, + 332.87 + ] + }, + { + "text": "the", + "bbox_points": [ + 285.34, + 324.85, + 296.66, + 332.87 + ] + }, + { + "text": "total", + "bbox_points": [ + 299.06, + 324.85, + 315.27, + 332.87 + ] + }, + { + "text": "discharge", + "bbox_points": [ + 317.65, + 324.85, + 351.87, + 332.87 + ] + }, + { + "text": "qouti", + "bbox_points": [ + 354.27, + 324.75, + 372.29, + 333.52 + ] + }, + { + "text": "among", + "bbox_points": [ + 375.19, + 324.85, + 399.67, + 332.87 + ] + }, + { + "text": "all", + "bbox_points": [ + 402.01, + 324.85, + 410.83, + 332.87 + ] + }, + { + "text": "the", + "bbox_points": [ + 413.23, + 324.85, + 424.55, + 332.87 + ] + }, + { + "text": "UP", + "bbox_points": [ + 426.9, + 324.85, + 438.23, + 332.87 + ] + }, + { + "text": "pipes", + "bbox_points": [ + 440.62, + 324.85, + 459.43, + 332.87 + ] + }, + { + "text": "sharing", + "bbox_points": [ + 461.82, + 324.85, + 488.28, + 332.87 + ] + }, + { + "text": "the", + "bbox_points": [ + 490.62, + 324.85, + 501.94, + 332.87 + ] + }, + { + "text": "upper", + "bbox_points": [ + 504.28, + 324.85, + 525.17, + 332.87 + ] + }, + { + "text": "DN", + "bbox_points": [ + 527.58, + 324.85, + 540.9, + 332.87 + ] + }, + { + "text": "node", + "bbox_points": [ + 543.23, + 324.85, + 561.13, + 332.87 + ] + }, + { + "text": "i", + "bbox_points": [ + 563.53, + 324.75, + 566.02, + 332.75 + ] + } + ] + }, + { + "text": "HDR Head-driven nodal flow estimation", + "bbox_points": [ + 64.01, + 339.09, + 327.06, + 347.38 + ], + "words": [ + { + "text": "HDR", + "bbox_points": [ + 64.01, + 339.37, + 83.16, + 347.38 + ] + }, + { + "text": "Head-driven", + "bbox_points": [ + 202.45, + 339.37, + 247.03, + 347.38 + ] + }, + { + "text": "nodal", + "bbox_points": [ + 249.39, + 339.37, + 269.78, + 347.38 + ] + }, + { + "text": "flow", + "bbox_points": [ + 272.13, + 339.09, + 287.64, + 347.38 + ] + }, + { + "text": "estimation", + "bbox_points": [ + 289.82, + 339.37, + 327.06, + 347.38 + ] + } + ] + }, + { + "text": "hi Head at the internal node i", + "bbox_points": [ + 64.01, + 351.49, + 300.36, + 361.39 + ], + "words": [ + { + "text": "hi", + "bbox_points": [ + 64.01, + 351.49, + 70.74, + 360.91 + ] + }, + { + "text": "Head", + "bbox_points": [ + 202.45, + 353.37, + 222.19, + 361.39 + ] + }, + { + "text": "at", + "bbox_points": [ + 224.56, + 353.37, + 231.11, + 361.39 + ] + }, + { + "text": "the", + "bbox_points": [ + 233.52, + 353.37, + 244.84, + 361.39 + ] + }, + { + "text": "internal", + "bbox_points": [ + 247.24, + 353.37, + 275.19, + 361.39 + ] + }, + { + "text": "node", + "bbox_points": [ + 277.63, + 353.37, + 295.52, + 361.39 + ] + }, + { + "text": "i", + "bbox_points": [ + 297.86, + 353.27, + 300.36, + 361.27 + ] + } + ] + }, + { + "text": "hs Vector of heads at external nodes (tanks)", + "bbox_points": [ + 64.01, + 365.49, + 350.18, + 375.39 + ], + "words": [ + { + "text": "hs", + "bbox_points": [ + 64.01, + 365.49, + 71.32, + 374.68 + ] + }, + { + "text": "Vector", + "bbox_points": [ + 202.45, + 367.37, + 226.6, + 375.39 + ] + }, + { + "text": "of", + "bbox_points": [ + 228.81, + 367.37, + 235.88, + 375.39 + ] + }, + { + "text": "heads", + "bbox_points": [ + 238.28, + 367.37, + 259.09, + 375.39 + ] + }, + { + "text": "at", + "bbox_points": [ + 261.41, + 367.37, + 268.01, + 375.39 + ] + }, + { + "text": "external", + "bbox_points": [ + 270.37, + 367.37, + 299.35, + 375.39 + ] + }, + { + "text": "nodes", + "bbox_points": [ + 301.72, + 367.37, + 322.94, + 375.39 + ] + }, + { + "text": "(tanks)", + "bbox_points": [ + 325.3, + 367.37, + 350.18, + 375.39 + ] + } + ] + }, + { + "text": "h Vector of heads at PN nodes", + "bbox_points": [ + 64.01, + 379.5, + 305.71, + 389.39 + ], + "words": [ + { + "text": "h", + "bbox_points": [ + 64.01, + 379.5, + 68.75, + 387.5 + ] + }, + { + "text": "Vector", + "bbox_points": [ + 202.45, + 381.38, + 226.6, + 389.39 + ] + }, + { + "text": "of", + "bbox_points": [ + 228.81, + 381.38, + 235.88, + 389.39 + ] + }, + { + "text": "heads", + "bbox_points": [ + 238.28, + 381.38, + 259.09, + 389.39 + ] + }, + { + "text": "at", + "bbox_points": [ + 261.41, + 381.38, + 268.01, + 389.39 + ] + }, + { + "text": "PN", + "bbox_points": [ + 270.37, + 381.38, + 282.11, + 389.39 + ] + }, + { + "text": "nodes", + "bbox_points": [ + 284.49, + 381.38, + 305.71, + 389.39 + ] + } + ] + }, + { + "text": "hk Vector of heads at PN nodes at iteration k", + "bbox_points": [ + 64.01, + 394.09, + 354.09, + 403.48 + ], + "words": [ + { + "text": "hk", + "bbox_points": [ + 64.01, + 394.09, + 72.09, + 403.48 + ] + }, + { + "text": "Vector", + "bbox_points": [ + 202.45, + 395.38, + 226.6, + 403.4 + ] + }, + { + "text": "of", + "bbox_points": [ + 228.81, + 395.38, + 235.88, + 403.4 + ] + }, + { + "text": "heads", + "bbox_points": [ + 238.28, + 395.38, + 259.09, + 403.4 + ] + }, + { + "text": "at", + "bbox_points": [ 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420.46 + ] + }, + { + "text": "at", + "bbox_points": [ + 261.41, + 412.44, + 268.01, + 420.46 + ] + }, + { + "text": "PN", + "bbox_points": [ + 270.37, + 412.44, + 282.11, + 420.46 + ] + }, + { + "text": "nodes", + "bbox_points": [ + 284.49, + 412.44, + 305.71, + 420.46 + ] + }, + { + "text": "predicted", + "bbox_points": [ + 308.07, + 412.44, + 341.72, + 420.46 + ] + }, + { + "text": "by", + "bbox_points": [ + 344.07, + 412.44, + 352.49, + 420.46 + ] + }, + { + "text": "the", + "bbox_points": [ + 354.84, + 412.44, + 366.16, + 420.46 + ] + }, + { + "text": "k", + "bbox_points": [ + 368.56, + 412.34, + 373.14, + 420.34 + ] + }, + { + "text": "þ", + "bbox_points": [ + 374.85, + 412.16, + 381.01, + 420.16 + ] + }, + { + "text": "1=2th", + "bbox_points": [ + 382.79, + 411.32, + 400.73, + 420.46 + ] + }, + { + "text": "iteration", + "bbox_points": [ + 403.6, + 412.44, + 433.69, + 420.46 + ] + } + ] + }, + { + "text": "hkþ1 Vector of heads at PN nodes corrected at the k þ 1th iteration", + "bbox_points": [ + 64.01, + 426.06, + 423.72, + 436.45 + ], + "words": [ + { + "text": "hkþ1", + "bbox_points": [ + 64.01, + 426.06, + 79.74, + 435.51 + ] + }, + { + "text": "Vector", + "bbox_points": [ + 202.45, + 428.43, + 226.6, + 436.45 + ] + }, + { + "text": "of", + "bbox_points": [ + 228.81, + 428.43, + 235.88, + 436.45 + ] + }, + { + "text": "heads", + "bbox_points": [ + 238.28, + 428.43, + 259.09, + 436.45 + ] + }, + { + "text": "at", + "bbox_points": [ + 261.41, + 428.43, + 268.01, + 436.45 + ] + }, + { + "text": "PN", + "bbox_points": [ + 270.37, + 428.43, + 282.11, + 436.45 + ] + }, + { + "text": "nodes", + "bbox_points": [ + 284.49, + 428.43, + 305.71, + 436.45 + ] + }, + { + "text": "corrected", + "bbox_points": [ + 308.07, + 428.43, + 341.96, + 436.45 + ] + }, + { + "text": "at", + "bbox_points": [ + 344.3, + 428.43, + 350.84, + 436.45 + ] + }, + { + "text": "the", + "bbox_points": [ + 353.25, + 428.43, + 364.57, + 436.45 + ] + }, + { + "text": "k", + "bbox_points": [ + 366.97, + 428.33, + 371.55, + 436.33 + ] + }, + { + "text": "þ", + "bbox_points": [ + 373.32, + 428.15, + 379.48, + 436.15 + ] + }, + { + "text": "1th", + "bbox_points": [ + 381.2, + 427.3, + 390.75, + 436.45 + ] + }, + { + "text": "iteration", + "bbox_points": [ + 393.62, + 428.43, + 423.72, + 436.45 + ] + } + ] + }, + { + "text": "IBC Internal boundary condition", + "bbox_points": [ + 64.01, + 443.34, + 304.7, + 451.36 + ], + "words": [ + { + "text": "IBC", + "bbox_points": [ + 64.01, + 443.34, + 78.49, + 451.36 + ] + }, + { + "text": "Internal", + "bbox_points": [ + 202.45, + 443.34, + 231.32, + 451.36 + ] + }, + { + "text": "boundary", + "bbox_points": [ + 233.69, + 443.34, + 267.9, + 451.36 + ] + }, + { + "text": "condition", + "bbox_points": [ + 270.26, + 443.34, + 304.7, + 451.36 + ] + } + ] + }, + { + "text": "id Lower node of the pipe l", + "bbox_points": [ + 64.01, + 457.24, + 291.63, + 465.36 + ], + "words": [ + { + "text": "id", + "bbox_points": [ + 64.01, + 457.24, + 71.08, + 465.24 + ] + }, + { + "text": "Lower", + "bbox_points": [ + 202.45, + 457.34, + 225.48, + 465.36 + ] + }, + { + "text": "node", + "bbox_points": [ + 227.91, + 457.34, + 245.8, + 465.36 + ] + }, + { + "text": "of", + "bbox_points": [ + 248.15, + 457.34, + 255.22, + 465.36 + ] + }, + { + "text": "the", + "bbox_points": [ + 257.61, + 457.34, + 268.93, + 465.36 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 271.28, + 457.34, + 286.76, + 465.36 + ] + }, + { + "text": "l", + "bbox_points": [ + 289.13, + 457.24, + 291.63, + 465.24 + ] + } + ] + }, + { + "text": "iord Vector of the ordered nodes (node 1 has the highest elevation, node dID the lowest)", + "bbox_points": [ + 64.01, + 469.47, + 502.23, + 479.96 + ], + "words": [ + { + "text": "iord", + "bbox_points": [ + 64.01, + 469.47, + 78.41, + 477.47 + ] + }, + { + "text": "Vector", + "bbox_points": [ + 202.45, + 471.35, + 226.6, + 479.36 + ] + }, + { + "text": "of", + "bbox_points": [ + 228.81, + 471.35, + 235.88, + 479.36 + ] 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"text": "the", + "bbox_points": [ + 463.18, + 471.35, + 474.5, + 479.36 + ] + }, + { + "text": "lowest)", + "bbox_points": [ + 476.9, + 471.35, + 502.23, + 479.36 + ] + } + ] + }, + { + "text": "iu Upper node of the pipe l", + "bbox_points": [ + 64.01, + 485.25, + 291.23, + 493.37 + ], + "words": [ + { + "text": "iu", + "bbox_points": [ + 64.01, + 485.25, + 71.5, + 493.25 + ] + }, + { + "text": "Upper", + "bbox_points": [ + 202.45, + 485.35, + 225.09, + 493.37 + ] + }, + { + "text": "node", + "bbox_points": [ + 227.45, + 485.35, + 245.35, + 493.37 + ] + }, + { + "text": "of", + "bbox_points": [ + 247.75, + 485.35, + 254.82, + 493.37 + ] + }, + { + "text": "the", + "bbox_points": [ + 257.22, + 485.35, + 268.54, + 493.37 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 270.88, + 485.35, + 286.36, + 493.37 + ] + }, + { + "text": "l", + "bbox_points": [ + 288.74, + 485.25, + 291.23, + 493.25 + ] + } + ] + }, + { + "text": "K(s) Positive, slowly increasing function of the integer s", + 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+ 375.39 + ] + }, + { + "text": "the", + "bbox_points": [ + 271.22, + 367.37, + 282.54, + 375.39 + ] + }, + { + "text": "SP", + "bbox_points": [ + 284.88, + 367.37, + 294.63, + 375.39 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 297.01, + 367.37, + 312.49, + 375.39 + ] + }, + { + "text": "l", + "bbox_points": [ + 314.87, + 367.27, + 317.37, + 375.27 + ] + } + ] + }, + { + "text": "rlv Resistance coefficient for the virtual pipe lv", + "bbox_points": [ + 43.43, + 381.1, + 338.2, + 390.16 + ], + "words": [ + { + "text": "rlv", + "bbox_points": [ + 43.43, + 381.27, + 50.86, + 390.16 + ] + }, + { + "text": "Resistance", + "bbox_points": [ + 181.93, + 381.38, + 219.61, + 389.39 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 221.95, + 381.1, + 259.39, + 389.39 + ] + }, + { + "text": "for", + "bbox_points": [ + 261.75, + 381.38, + 271.98, + 389.39 + ] + }, + { + "text": "the", + "bbox_points": [ + 274.34, + 381.38, + 285.66, + 389.39 + ] + }, + { + "text": "virtual", + "bbox_points": [ + 288.06, + 381.38, + 311.34, + 389.39 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 313.74, + 381.38, + 329.22, + 389.39 + ] + }, + { + "text": "lv", + "bbox_points": [ + 331.54, + 381.27, + 338.2, + 389.27 + ] + } + ] + }, + { + "text": "S0 Pipe slope", + "bbox_points": [ + 43.43, + 395.22, + 218.99, + 404.02 + ], + "words": [ + { + "text": "S0", + "bbox_points": [ + 43.43, + 395.22, + 50.94, + 404.02 + ] + }, + { + "text": "Pipe", + "bbox_points": [ + 181.93, + 395.32, + 197.83, + 403.34 + ] + }, + { + "text": "slope", + "bbox_points": [ + 200.18, + 395.32, + 218.99, + 403.34 + ] + } + ] + }, + { + "text": "SP Set of saturated pipes", + "bbox_points": [ + 43.43, + 407.45, + 258.85, + 417.34 + ], + "words": [ + { + "text": "SP", + "bbox_points": [ + 43.43, + 407.45, + 53.76, + 415.45 + ] + }, + { + "text": "Set", + "bbox_points": [ + 181.93, + 409.33, + 193.25, + 417.34 + ] + }, + { + "text": "of", + "bbox_points": [ + 195.65, + 409.33, + 202.72, + 417.34 + ] + }, + { + "text": "saturated", + "bbox_points": [ + 205.06, + 409.33, + 237.64, + 417.34 + ] + }, + { + "text": "pipes", + "bbox_points": [ + 240.04, + 409.33, + 258.85, + 417.34 + ] + } + ] + }, + { + "text": "UP Set of unsaturated pipes", + "bbox_points": [ + 43.43, + 421.45, + 268.14, + 431.34 + ], + "words": [ + { + "text": "UP", + "bbox_points": [ + 43.43, + 421.45, + 55.08, + 429.45 + ] + }, + { + "text": "Set", + "bbox_points": [ + 181.93, + 423.33, + 193.25, + 431.34 + ] + }, + { + "text": "of", + "bbox_points": [ + 195.65, + 423.33, + 202.72, + 431.34 + ] + }, + { + "text": "unsaturated", + "bbox_points": [ + 205.06, + 423.33, + 246.99, + 431.34 + ] + }, + { + "text": "pipes", + "bbox_points": [ + 249.34, + 423.33, + 268.14, + 431.34 + ] + } + ] + }, + { + "text": "WDN Water Distribution Network", + "bbox_points": [ + 43.43, + 437.33, + 283.73, + 445.35 + ], + "words": [ + { + "text": "WDN", + "bbox_points": [ + 43.43, + 437.33, + 65.08, + 445.35 + ] + }, + { + "text": "Water", + "bbox_points": [ + 181.93, + 437.33, + 203.68, + 445.35 + ] + }, + { + "text": "Distribution", + "bbox_points": [ + 206.08, + 437.33, + 249.36, + 445.35 + ] + }, + { + "text": "Network", + "bbox_points": [ + 251.77, + 437.33, + 283.73, + 445.35 + ] + } + ] + }, + { + "text": "zd Vector of elevation of virtual nodes", + "bbox_points": [ + 43.43, + 449.45, + 309.11, + 459.35 + ], + "words": [ + { + "text": "zd", + "bbox_points": [ + 43.43, + 449.45, + 51.17, + 457.45 + ] + }, + { + "text": "Vector", + "bbox_points": [ + 181.93, + 451.33, + 206.02, + 459.35 + ] + }, + { + "text": "of", + "bbox_points": [ + 208.23, + 451.33, + 215.3, + 459.35 + ] + }, + { + "text": "elevation", + "bbox_points": [ + 217.7, + 451.33, + 250.35, + 459.35 + ] + }, + { + "text": "of", + "bbox_points": [ + 252.74, + 451.33, + 259.81, + 459.35 + ] + }, + { + "text": "virtual", + "bbox_points": [ + 262.2, + 451.33, + 285.49, + 459.35 + ] + }, + { + "text": "nodes", + "bbox_points": [ + 287.89, + 451.33, + 309.11, + 459.35 + ] + } + ] + }, + { + "text": "z Vector of elevation of internal nodes (DN and PN)", + "bbox_points": [ + 43.43, + 463.46, + 364.96, + 473.35 + ], + "words": [ + { + "text": "z", + "bbox_points": [ + 43.43, + 463.46, + 46.76, + 471.46 + ] + }, + { + "text": "Vector", + "bbox_points": [ + 181.93, + 465.34, + 206.02, + 473.35 + ] + }, + { + "text": "of", + "bbox_points": [ + 208.23, + 465.34, + 215.3, + 473.35 + ] + }, + { + "text": "elevation", + "bbox_points": [ + 217.7, + 465.34, + 250.35, + 473.35 + ] + }, + { + "text": "of", + "bbox_points": [ + 252.74, + 465.34, + 259.81, + 473.35 + ] + }, + { + "text": "internal", + "bbox_points": [ + 262.2, + 465.34, + 290.24, + 473.35 + ] + }, + { + "text": "nodes", + "bbox_points": [ + 292.59, + 465.34, + 313.82, + 473.35 + ] + }, + { + "text": "(DN", + "bbox_points": [ + 316.18, + 465.34, + 332.24, + 473.35 + ] + }, + { + "text": "and", + "bbox_points": [ + 334.6, + 465.34, + 348.08, + 473.35 + ] + }, + { + "text": "PN)", + "bbox_points": [ + 350.48, + 465.34, + 364.96, + 473.35 + ] + } + ] + }, + { + "text": "a Pipe coefficient in pipe resistance law", + "bbox_points": [ + 43.09, + 479.06, + 317.57, + 487.36 + ], + "words": [ + { + "text": "a", + "bbox_points": [ + 43.09, + 479.06, + 49.68, + 487.06 + ] + }, + { + "text": "Pipe", + "bbox_points": [ + 181.93, + 479.34, + 197.83, + 487.36 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 200.18, + 479.06, + 237.62, + 487.36 + ] + }, + { + "text": "in", + "bbox_points": [ + 239.98, + 479.34, + 247.05, + 487.36 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 249.45, + 479.34, + 264.93, + 487.36 + ] + }, + { + "text": "resistance", + "bbox_points": [ + 267.31, + 479.34, + 302.55, + 487.36 + ] + }, + { + "text": "law", + "bbox_points": [ + 304.89, + 479.34, + 317.57, + 487.36 + ] + } + ] + }, + { + "text": "b a ¼ b 1", + "bbox_points": [ + 43.09, + 493.06, + 209.74, + 502.2 + ], + "words": [ + { + "text": "b", + "bbox_points": [ + 43.09, + 493.06, + 49.68, + 501.06 + ] + }, + { + "text": "a", + "bbox_points": [ + 181.59, + 494.2, + 188.18, + 502.2 + ] + }, + { + "text": "¼", + "bbox_points": [ + 189.07, + 494.2, + 195.23, + 502.2 + ] + }, + { + "text": "b", + "bbox_points": [ + 197.07, + 494.2, + 203.66, + 502.2 + ] + }, + { + "text": "1", + "bbox_points": [ + 206.65, + 493.14, + 209.74, + 498.75 + ] + } + ] + }, + { + "text": "u Relaxation coefficient in the Linear Theory (LTH) solution", + "bbox_points": [ + 43.09, + 508.2, + 393.23, + 516.5 + ], + "words": [ + { + "text": "u", + "bbox_points": [ + 43.09, + 508.2, + 48.77, + 516.2 + ] + }, + { + "text": "Relaxation", + "bbox_points": [ + 181.93, + 508.48, + 220.13, + 516.5 + ] + }, + { + "text": "coefficient", + "bbox_points": [ + 222.52, + 508.2, + 259.95, + 516.5 + ] + }, + { + "text": "in", + "bbox_points": [ + 262.32, + 508.48, + 269.39, + 516.5 + ] + }, + { + "text": "the", + "bbox_points": [ + 271.79, + 508.48, + 283.11, + 516.5 + ] + }, + { + "text": "Linear", + "bbox_points": [ + 285.45, + 508.48, + 309.17, + 516.5 + ] + }, + { + "text": "Theory", + "bbox_points": [ + 311.53, + 508.48, + 337.01, + 516.5 + ] + }, + { + "text": "(LTH)", + "bbox_points": [ + 339.36, + 508.48, + 361.82, + 516.5 + ] + }, + { + "text": "solution", + "bbox_points": [ + 364.2, + 508.48, + 393.23, + 516.5 + ] + } + ] + }, + { + "text": "j Uniform flow relative depth", + "bbox_points": [ + 43.09, + 522.2, + 281.77, + 530.5 + ], + "words": [ + { + "text": "j", + "bbox_points": [ + 43.09, + 522.2, + 48.35, + 530.2 + ] + }, + { + "text": "Uniform", + "bbox_points": [ + 181.93, + 522.48, + 212.56, + 530.5 + ] + }, + { + "text": "flow", + "bbox_points": [ + 214.87, + 522.2, + 230.38, + 530.5 + ] + }, + { + "text": "relative", + "bbox_points": [ + 232.73, + 522.48, + 258.95, + 530.5 + ] + }, + { + "text": "depth", + "bbox_points": [ + 261.3, + 522.48, + 281.77, + 530.5 + ] + } + ] + }, + { + "text": "jl Length of the pressurized part of the pipe l belonging to UP pipes", + "bbox_points": [ + 43.09, + 536.15, + 418.27, + 545.5 + ], + "words": [ + { + "text": "jl", + "bbox_points": [ + 43.09, + 536.15, + 48.75, + 545.5 + ] + }, + { + "text": "Length", + "bbox_points": [ + 181.93, + 536.43, + 207.32, + 544.45 + ] + }, + { + "text": "of", + "bbox_points": [ + 209.65, + 536.43, + 216.72, + 544.45 + ] + }, + { + "text": "the", + "bbox_points": [ + 219.12, + 536.43, + 230.44, + 544.45 + ] + }, + { + "text": "pressurized", + "bbox_points": [ + 232.84, + 536.43, + 273.67, + 544.45 + ] + }, + { + "text": "part", + "bbox_points": [ + 275.98, + 536.43, + 290.45, + 544.45 + ] + }, + { + "text": "of", + "bbox_points": [ + 292.88, + 536.43, + 299.95, + 544.45 + ] + }, + { + "text": "the", + "bbox_points": [ + 302.34, + 536.43, + 313.66, + 544.45 + ] + }, + { + "text": "pipe", + "bbox_points": [ + 316.01, + 536.43, + 331.49, + 544.45 + ] + }, + { + "text": "l", + "bbox_points": [ + 333.86, + 536.33, + 336.36, + 544.33 + ] + }, + { + "text": "belonging", + "bbox_points": [ + 338.74, + 536.43, + 373.88, + 544.45 + ] + }, + { + "text": "to", + "bbox_points": [ + 376.21, + 536.43, + 383.37, + 544.45 + ] + }, + { + "text": "UP", + "bbox_points": [ + 385.74, + 536.43, + 397.07, + 544.45 + ] + }, + { + "text": "pipes", + "bbox_points": [ + 399.46, + 536.43, + 418.27, + 544.45 + ] + } + ] + }, + { + "text": "Note: Bold characters represent vectors throughout this paper; plain characters represent scalars", + "bbox_points": [ + 43.43, + 552.81, + 309.28, + 558.81 + ], + "words": [ + { + "text": "Note:", + "bbox_points": [ + 43.43, + 552.81, + 58.03, + 558.81 + ] + }, + { + "text": "Bold", + "bbox_points": [ + 60.04, + 552.81, + 71.96, + 558.81 + ] + }, + { + "text": "characters", + "bbox_points": [ + 73.98, + 552.81, + 102.38, + 558.81 + ] + }, + { + "text": "represent", + "bbox_points": [ + 104.43, + 552.81, + 130.42, + 558.81 + ] + }, + { + "text": "vectors", + "bbox_points": [ + 132.38, + 552.81, + 152.3, + 558.81 + ] + }, + { + "text": "throughout", + "bbox_points": [ + 154.14, + 552.81, + 184.22, + 558.81 + ] + }, + { + "text": "this", + "bbox_points": [ + 186.18, + 552.81, + 195.97, + 558.81 + ] + }, + { + "text": "paper;", + "bbox_points": [ + 198.02, + 552.81, + 215.19, + 558.81 + ] + }, + { + "text": "plain", + "bbox_points": [ + 217.18, + 552.81, + 230.1, + 558.81 + ] + }, + { + "text": "characters", + "bbox_points": [ + 232.09, + 552.81, + 260.49, + 558.81 + ] + }, + { + "text": "represent", + "bbox_points": [ + 262.54, + 552.81, + 288.53, + 558.81 + ] + }, + { + "text": "scalars", + "bbox_points": [ + 290.49, + 552.81, + 309.28, + 558.81 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Tucciarelli et al. - 2025 - Air intrusion in water distribution network (WDN) modelling/table_01_part_2.txt b/Media/2025/Tucciarelli et al. - 2025 - Air intrusion in water distribution network (WDN) modelling/table_01_part_2.txt new file mode 100644 index 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P. et al. - 2025 - Groundwater quality assessment for drinking and irrigation A case study in the Cauvery River Basin/table_02.txt b/Media/2025/U. P. et al. - 2025 - Groundwater quality assessment for drinking and irrigation A case study in the Cauvery River Basin/table_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c7af3ad18b24a3cf5c02ae3f6e8d55311a1dfbe --- /dev/null +++ b/Media/2025/U. P. et al. - 2025 - Groundwater quality assessment for drinking and irrigation A case study in the Cauvery River Basin/table_02.txt @@ -0,0 +1 @@ +The DWQI values, quality of water, and percentage of groundwater samples in the study area diff --git a/Media/2025/U. P. et al. - 2025 - Groundwater quality assessment for drinking and irrigation A case study in the Cauvery River Basin/table_03.jpg b/Media/2025/U. 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], + "words": [ + { + "text": "250–750", + "bbox_points": [ + 251.04, + 505.42, + 281.46, + 513.72 + ] + }, + { + "text": "Good", + "bbox_points": [ + 346.9, + 505.7, + 367.37, + 513.72 + ] + }, + { + "text": "3", + "bbox_points": [ + 469.19, + 505.7, + 473.61, + 513.72 + ] + }, + { + "text": "5", + "bbox_points": [ + 532.23, + 505.7, + 536.65, + 513.72 + ] + } + ] + }, + { + "text": "750–1,500 Permissible 48 86", + "bbox_points": [ + 251.04, + 515.91, + 541.06, + 524.21 + ], + "words": [ + { + "text": "750–1,500", + "bbox_points": [ + 251.04, + 515.91, + 287.88, + 524.21 + ] + }, + { + "text": "Permissible", + "bbox_points": [ + 346.9, + 516.19, + 387.94, + 524.21 + ] + }, + { + "text": "48", + "bbox_points": [ + 469.19, + 516.19, + 478.02, + 524.21 + ] + }, + { + "text": "86", + "bbox_points": [ + 532.23, + 516.19, + 541.06, + 524.21 + ] + } + ] + }, + { + "text": "1,500–2,250 Doubtful 5 9", + "bbox_points": [ + 251.04, + 526.4, + 536.65, + 534.7 + ], + "words": [ + { + "text": 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diff --git "a/Media/2025/Unimke et al. - 2025 - Microbial\342\200\223physicochemical interplay in Iko River estuary, unraveling the hidden mystery in bioremedi/table_01.txt" "b/Media/2025/Unimke et al. - 2025 - Microbial\342\200\223physicochemical interplay in Iko River estuary, unraveling the hidden mystery in bioremedi/table_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..2287094c5c0d54e47352f0f917e089576a363a9b --- /dev/null +++ "b/Media/2025/Unimke et al. - 2025 - Microbial\342\200\223physicochemical interplay in Iko River estuary, unraveling the hidden mystery in bioremedi/table_01.txt" @@ -0,0 +1 @@ +Mean values of total heterotrophic bacteria, crude oil-utilizing bacteria, total fungi, and crude oil-utilizing fungi diff --git "a/Media/2025/Unimke et al. - 2025 - Microbial\342\200\223physicochemical interplay in Iko River estuary, unraveling the hidden mystery in bioremedi/table_02.jpg" "b/Media/2025/Unimke et al. - 2025 - 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interplay in Iko River estuary, unraveling the hidden mystery in bioremedi/table_04.txt" @@ -0,0 +1 @@ +PCR reaction amplification of DNA-targeted hydrocarbon degradation genes analyzed from the samples diff --git a/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/figure_01.jpg b/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..a58c4617090614946f25620c073ff369d537904a --- /dev/null +++ b/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d36c52194064ba331e1036ca94c2d2bfb4860131f1a1fd5783105c223d0ece5c +size 118571 diff --git a/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage 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This visualisation highlights the countries the participants are from, are residents of, or have worked or studied in the past. Values are max–min normalised (e.g., 1 for the Netherlands, the country with the highest number of participants). diff --git a/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/figure_02.jpg b/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..cf0cd8e6ea5bd24538b6864776fe347a01c5b936 --- /dev/null +++ b/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:23f5312e8cb63cb4e3efe90095c3ed77c9a952b64c1259105c4fc410fb1d00d1 +size 59650 diff --git a/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/figure_02.txt b/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba63396619759ffa9926c9c7afb56067b131ac7c --- /dev/null +++ b/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/figure_02.txt @@ -0,0 +1 @@ +Development of the number of publications in journals related to the urban drainage field, showing a nearly six-fold increase since the early 2000s. Left: Individual trends, per journal, marked by the grey lines and the total trend in black. Right: Normalised values (min–max), with the grey shade here indicating 90%iles for normalised number of publications per journal. Journal details are provided in the Appendix in Section S1. diff --git a/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/graphic_abstract.jpg b/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/graphic_abstract.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6991bf869e40357a509fb206ee88bb65bd020585 --- /dev/null +++ b/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/graphic_abstract.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c3288dd96def95bd8b5f42b5fa69bea3daa2ed892c7120a2afcdda7f9439c6f3 +size 131205 diff --git a/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/manifest.json b/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..4e520defb575e4b9dec4a246849c6d2938873b37 --- /dev/null +++ b/Media/2025/Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers/manifest.json @@ -0,0 +1,94 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Van Der Werf et al. - 2025 - Flooded with potential urban drainage science as seen by early-career researchers.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 3, + "items": [ + { + "kind": "graphic_abstract", + "label": "graphic_abstract", + "page": 2, + "caption": "GRAPHICAL ABSTRACT", + "image": "graphic_abstract.jpg", + "caption_file": null, + "figure_bbox_points": [ + 37.43, + 212.49, + 511.53, + 421.62 + ], + "caption_bbox_points": [ + 43.43, + 206.99, + 131.21, + 214.99 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "below", + "image_size_bytes": 131205, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_01", + "page": 3, + "caption": "Overview of the background of the participants. This visualisation highlights the countries the participants are from, are residents of, or have worked or studied in the past. Values are max–min normalised (e.g., 1 for the Netherlands, the country with the highest number of participants).", + "image": "figure_01.jpg", + "caption_file": "figure_01.txt", + "figure_bbox_points": [ + 95.99, + 406.33, + 534.09, + 692.27 + ], + "caption_bbox_points": [ + 64.01, + 693.75, + 566.01, + 721.93 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 118571, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_02", + "page": 9, + "caption": "Development of the number of publications in journals related to the urban drainage field, showing a nearly six-fold increase since the early 2000s. Left: Individual trends, per journal, marked by the grey lines and the total trend in black. 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(a) A co-occurrence analysis of keywords from 7,071 articles focused on ‘drinking water distribution systems’ as illustrated by VOSviewer. The dimension of each keyword symbol indicates its occurrence frequency across the dataset, and the color coding is utilized to differentiate among various keyword categories. 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2025 - A review of secondary contamination of drinking water quality in distribution systems sources, mech/figure_04.txt @@ -0,0 +1 @@ +Interrelations among the three secondary contaminations in DWDSs, namely metal release, microbial regrowth, and DBP formation. diff --git a/Media/2025/Wang et al. - 2025 - A review of secondary contamination of drinking water quality in distribution systems sources, mech/manifest.json b/Media/2025/Wang et al. - 2025 - A review of secondary contamination of drinking water quality in distribution systems sources, mech/manifest.json new file mode 100644 index 0000000000000000000000000000000000000000..5b0abde510d2126c0683986f7f3c251cc4b83e1d --- /dev/null +++ b/Media/2025/Wang et al. - 2025 - A review of secondary contamination of drinking water quality in distribution systems sources, mech/manifest.json @@ -0,0 +1,150 @@ +{ + "paper_id": null, + "source_collection": "PDFs 1995-2025", + "source_pdf": "Wang et al. - 2025 - A review of secondary contamination of drinking water quality in distribution systems sources, mech.pdf", + "dpi": 170, + "target_image_kb": 180, + "item_count": 5, + "items": [ + { + "kind": "figure", + "label": "figure_01", + "page": 3, + "caption": "A bibliometric analysis of scholarly articles on secondary contamination in DWDSs, utilizing data obtained from the Web of Science database. 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+ ] + }, + { + "text": "Microbial Total bacterial count (CFUb/mL) 100 100 500 – – 100", + "bbox_points": [ + 64.01, + 284.78, + 525.24, + 295.91 + ], + "words": [ + { + "text": "Microbial", + "bbox_points": [ + 64.01, + 287.89, + 98.82, + 295.9 + ] + }, + { + "text": "Total", + "bbox_points": [ + 121.44, + 287.89, + 139.9, + 295.9 + ] + }, + { + "text": "bacterial", + "bbox_points": [ + 142.3, + 287.89, + 173.24, + 295.9 + ] + }, + { + "text": "count", + "bbox_points": [ + 175.58, + 287.89, + 196.05, + 295.9 + ] + }, + { + "text": "(CFUb/mL)", + "bbox_points": [ + 198.77, + 284.78, + 240.37, + 295.91 + ] + }, + { + "text": "100", + "bbox_points": [ + 271.28, + 287.89, + 284.52, + 295.91 + ] + }, + { + "text": "100", + "bbox_points": [ + 314.25, + 287.89, + 327.5, + 295.91 + ] + }, + { + "text": "500", + "bbox_points": [ + 359.26, + 287.89, + 372.51, + 295.91 + ] + }, + { + "text": "–", + "bbox_points": [ + 411.19, + 287.61, + 415.19, + 295.61 + ] + }, + { + "text": "–", + "bbox_points": [ + 468.23, + 287.61, + 472.23, + 295.61 + ] + }, + { + "text": "100", + "bbox_points": [ + 511.99, + 287.89, + 525.24, + 295.91 + ] + } + ] + }, + { + "text": "indicators Total coliforms (count per 100 mL) NDc ND ND – 10 ND", + "bbox_points": [ + 72.0, + 295.27, + 525.31, + 306.39 + ], + "words": [ + { + "text": "indicators", + "bbox_points": [ + 72.0, + 298.37, + 107.58, + 306.39 + ] + }, + { + "text": "Total", + "bbox_points": [ + 121.44, + 298.38, + 139.9, + 306.39 + ] + }, + { + "text": "coliforms", + "bbox_points": [ + 142.3, + 298.38, + 176.09, + 306.39 + ] + }, + { + "text": "(count", + "bbox_points": [ + 178.41, + 298.38, + 201.63, + 306.39 + ] + }, + { + "text": "per", + "bbox_points": [ + 203.98, + 298.38, + 215.72, + 306.39 + ] + }, + { + "text": "100", + "bbox_points": [ + 218.1, + 298.38, + 231.35, + 306.39 + ] + }, + { + "text": "mL)", + "bbox_points": [ + 233.29, + 298.38, + 248.36, + 306.39 + ] + }, + { + "text": "NDc", + "bbox_points": [ + 271.27, + 295.27, + 287.54, + 306.39 + ] + }, + { + "text": "ND", + "bbox_points": [ + 314.25, + 298.38, + 327.57, + 306.39 + ] + }, + { + "text": "ND", + "bbox_points": [ + 359.26, + 298.38, + 372.58, + 306.39 + ] + }, + { + "text": "–", + "bbox_points": [ + 411.19, + 298.1, + 415.19, + 306.1 + ] + }, + { + "text": "10", + "bbox_points": [ + 474.35, + 298.38, + 483.18, + 306.39 + ] + }, + { + "text": "ND", + "bbox_points": [ + 511.99, + 298.38, + 525.31, + 306.39 + ] + } + ] + }, + { + "text": "Heterotrophic plate count (count per – – – – 1,000 –", + "bbox_points": [ + 121.44, + 308.59, + 515.99, + 316.88 + ], + "words": [ + { + "text": "Heterotrophic", + "bbox_points": [ + 121.44, + 308.87, + 172.33, + 316.88 + ] + }, + { + "text": "plate", + "bbox_points": [ + 174.67, + 308.87, + 192.13, + 316.88 + ] + }, + { + "text": "count", + "bbox_points": [ + 194.51, + 308.87, + 214.99, + 316.88 + ] + }, + { + "text": "(count", + "bbox_points": [ + 217.7, + 308.87, + 240.92, + 316.88 + ] + }, + { + "text": "per", + "bbox_points": [ + 243.27, + 308.87, + 255.01, + 316.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 271.28, + 308.59, + 275.28, + 316.59 + ] + }, + { + "text": "–", + "bbox_points": [ + 314.25, + 308.59, + 318.25, + 316.59 + ] + }, + { + "text": "–", + "bbox_points": [ + 359.26, + 308.59, + 363.26, + 316.59 + ] + }, + { + "text": "–", + "bbox_points": [ + 411.19, + 308.59, + 415.19, + 316.59 + ] + }, + { + "text": "1,000", + "bbox_points": [ + 474.35, + 308.87, + 494.01, + 316.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 511.99, + 308.59, + 515.99, + 316.59 + ] + } + ] + }, + { + "text": "1 mL)", + "bbox_points": [ + 129.43, + 319.35, + 150.91, + 327.37 + ], + "words": [ + { + "text": "1", + "bbox_points": [ + 129.43, + 319.35, + 133.85, + 327.37 + ] + }, + { + "text": "mL)", + "bbox_points": [ + 135.84, + 319.35, + 150.91, + 327.37 + ] + } + ] + }, + { + "text": "E. coli ND ND ND ND ND –", + "bbox_points": [ + 121.44, + 329.62, + 515.99, + 337.91 + ], + "words": [ + { + "text": "E.", + "bbox_points": [ + 121.44, + 329.8, + 128.93, + 337.8 + ] + }, + { + "text": "coli", + "bbox_points": [ + 131.3, + 329.8, + 144.45, + 337.8 + ] + }, + { + "text": "ND", + "bbox_points": [ + 271.28, + 329.9, + 284.6, + 337.91 + ] + }, + { + "text": "ND", + "bbox_points": [ + 314.25, + 329.9, + 327.57, + 337.91 + ] + }, + { + "text": "ND", + "bbox_points": [ + 359.26, + 329.9, + 372.58, + 337.91 + ] + }, + { + "text": "ND", + "bbox_points": [ + 411.19, + 329.9, + 424.51, + 337.91 + ] + }, + { + "text": "ND", + "bbox_points": [ + 468.23, + 329.9, + 481.55, + 337.91 + ] + }, + { + "text": "–", + "bbox_points": [ + 511.99, + 329.62, + 515.99, + 337.62 + ] + } + ] + }, + { + "text": "Cryptosporidium (count per 10 L) – ,1 ND – ND –", + "bbox_points": [ + 121.44, + 340.11, + 515.99, + 348.4 + ], + "words": [ + { + "text": "Cryptosporidium", + "bbox_points": [ + 121.44, + 340.29, + 181.29, + 348.29 + ] + }, + { + "text": "(count", + "bbox_points": [ + 183.63, + 340.39, + 206.84, + 348.4 + ] + }, + { + "text": "per", + "bbox_points": [ + 209.2, + 340.39, + 220.93, + 348.4 + ] + }, + { + "text": "10", + "bbox_points": [ + 223.31, + 340.39, + 232.15, + 348.4 + ] + }, + { + "text": "L)", + "bbox_points": [ + 234.14, + 340.39, + 242.21, + 348.4 + ] + }, + { + "text": "–", + "bbox_points": [ + 271.28, + 340.11, + 275.28, + 348.11 + ] + }, + { + "text": ",1", + "bbox_points": [ + 314.25, + 340.11, + 325.3, + 348.4 + ] + }, + { + "text": "ND", + "bbox_points": [ + 359.26, + 340.39, + 372.58, + 348.4 + ] + }, + { + "text": "–", + "bbox_points": [ + 411.19, + 340.11, + 415.19, + 348.11 + ] + }, + { + "text": "ND", + "bbox_points": [ + 468.23, + 340.39, + 481.55, + 348.4 + ] + }, + { + "text": "–", + "bbox_points": [ + 511.99, + 340.11, + 515.99, + 348.11 + ] + } + ] + }, + { + "text": "Giardia (count per 10 L) – ,1 ND – ND –", + "bbox_points": [ + 121.44, + 350.59, + 515.99, + 358.89 + ], + "words": [ + { + "text": "Giardia", + "bbox_points": [ + 121.44, + 350.77, + 149.16, + 358.77 + ] + }, + { + "text": "(count", + "bbox_points": [ + 151.48, + 350.87, + 174.7, + 358.89 + ] + }, + { + "text": "per", + "bbox_points": [ + 177.05, + 350.87, + 188.79, + 358.89 + ] + }, + { + "text": "10", + "bbox_points": [ + 191.17, + 350.87, + 200.0, + 358.89 + ] + }, + { + "text": "L)", + "bbox_points": [ + 202.0, + 350.87, + 210.07, + 358.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 271.27, + 350.59, + 275.27, + 358.59 + ] + }, + { + "text": ",1", + "bbox_points": [ + 314.25, + 350.59, + 325.3, + 358.89 + ] + }, + { + "text": "ND", + "bbox_points": [ + 359.26, + 350.87, + 372.58, + 358.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 411.19, + 350.59, + 415.19, + 358.59 + ] + }, + { + "text": "ND", + "bbox_points": [ + 468.23, + 350.87, + 481.55, + 358.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 511.99, + 350.59, + 515.99, + 358.59 + ] + } + ] + }, + { + "text": "DBPs (mg/L) THMs Chloroform (TCM) 0.3 0.06 0.08d 0.1d 0.3 0.06", + "bbox_points": [ + 64.01, + 361.77, + 527.24, + 372.89 + ], + "words": [ + { + "text": "DBPs", + "bbox_points": [ + 64.01, + 364.88, + 84.49, + 372.89 + ] + }, + { + "text": "(mg/L)", + "bbox_points": [ + 86.85, + 364.88, + 112.24, + 372.89 + ] + }, + { + "text": "THMs", + "bbox_points": [ + 121.44, + 364.88, + 144.51, + 372.89 + ] + }, + { + "text": "Chloroform", + "bbox_points": [ + 168.6, + 364.88, + 210.76, + 372.89 + ] + }, + { + "text": "(TCM)", + "bbox_points": [ + 213.11, + 364.88, + 236.88, + 372.89 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 271.27, + 364.88, + 282.11, + 372.89 + ] + }, + { + "text": "0.06", + "bbox_points": [ + 314.25, + 364.88, + 329.5, + 372.89 + ] + }, + { + "text": "0.08d", + "bbox_points": [ + 359.26, + 361.77, + 378.01, + 372.89 + ] + }, + { + "text": "0.1d", + "bbox_points": [ + 411.19, + 361.77, + 425.58, + 372.89 + ] + }, + { + "text": "0.3", + "bbox_points": [ + 468.23, + 364.88, + 479.06, + 372.89 + ] + }, + { + "text": "0.06", + "bbox_points": [ + 511.99, + 364.88, + 527.24, + 372.89 + ] + } + ] + }, + { + "text": "Bromodichloromethane 0.06 0.06 0.06 0.03", + "bbox_points": [ + 168.61, + 375.37, + 527.24, + 383.38 + ], + "words": [ + { + "text": "Bromodichloromethane", + "bbox_points": [ + 168.61, + 375.37, + 254.47, + 383.38 + ] + }, + { + "text": "0.06", + "bbox_points": [ + 271.28, + 375.37, + 286.52, + 383.38 + ] + }, + { + "text": "0.06", + "bbox_points": [ + 314.25, + 375.37, + 329.5, + 383.38 + ] + }, + { + "text": "0.06", + "bbox_points": [ + 468.23, + 375.37, + 483.47, + 383.38 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 511.99, + 375.37, + 527.24, + 383.38 + ] + } + ] + }, + { + "text": "(BDCM)", + "bbox_points": [ + 176.6, + 385.85, + 207.63, + 393.87 + ], + "words": [ + { + "text": "(BDCM)", + "bbox_points": [ + 176.6, + 385.85, + 207.63, + 393.87 + ] + } + ] + }, + { + "text": "Dibromochloromethane 0.1 0.1 0.1 0.1", + "bbox_points": [ + 168.61, + 396.4, + 522.82, + 404.42 + ], + "words": [ 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[ + 271.28, + 417.38, + 282.11, + 425.39 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 314.25, + 417.38, + 325.08, + 425.39 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 468.23, + 417.38, + 479.06, + 425.39 + ] + }, + { + "text": "0.09", + "bbox_points": [ + 511.99, + 417.38, + 527.24, + 425.39 + ] + } + ] + }, + { + "text": "HAAs Trichloroacetic acid 0.2 0.1 0.06e – – 0.03", + "bbox_points": [ + 121.44, + 424.81, + 527.24, + 435.88 + ], + "words": [ + { + "text": "HAAs", + "bbox_points": [ + 121.44, + 427.86, + 143.76, + 435.88 + ] + }, + { + "text": "Trichloroacetic", + "bbox_points": [ + 168.6, + 427.86, + 222.93, + 435.88 + ] + }, + { + "text": "acid", + "bbox_points": [ + 225.3, + 427.86, + 240.23, + 435.88 + ] + }, + { + "text": "0.2", + "bbox_points": [ + 271.27, + 427.86, + 282.11, + 435.88 + ] + }, + { + "text": "0.1", + "bbox_points": [ + 314.25, + 427.86, + 325.08, + 435.88 + ] + }, + { + "text": "0.06e", + "bbox_points": [ + 359.26, + 424.81, + 377.58, + 435.88 + ] + }, + { + "text": "–", + "bbox_points": [ + 411.19, + 427.58, + 415.19, + 435.58 + ] + }, + { + "text": "–", + "bbox_points": [ + 468.23, + 427.58, + 472.23, + 435.58 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 511.99, + 427.86, + 527.24, + 435.88 + ] + } + ] + }, + { + "text": "(TCAA)", + "bbox_points": [ + 176.6, + 438.41, + 204.44, + 446.42 + ], + "words": [ + { + "text": "(TCAA)", + "bbox_points": [ + 176.6, + 438.41, + 204.44, + 446.42 + ] + } + ] + }, + { + "text": "Dichloroacetic acid 0.05 0.05 – – 0.03", + "bbox_points": [ + 168.61, + 448.62, + 527.24, + 456.91 + ], + "words": [ + { + "text": "Dichloroacetic", + "bbox_points": [ + 168.61, + 448.9, + 221.57, + 456.91 + ] + }, + { + "text": "acid", + "bbox_points": [ + 223.88, + 448.9, + 238.81, + 456.91 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 271.28, + 448.9, + 286.52, + 456.91 + ] + }, + { + "text": "0.05", + "bbox_points": [ + 314.25, + 448.9, + 329.5, + 456.91 + ] + }, + { + "text": "–", + "bbox_points": [ + 411.19, + 448.62, + 415.19, + 456.62 + ] + }, + { + "text": "–", + "bbox_points": [ + 468.23, + 448.62, + 472.23, + 456.62 + ] + }, + { + "text": "0.03", + "bbox_points": [ + 511.99, + 448.9, + 527.24, + 456.91 + ] + } + ] + }, + { + "text": "(DCAA)", + "bbox_points": [ + 176.6, + 459.39, + 206.2, + 467.4 + ], + "words": [ + { + "text": "(DCAA)", + "bbox_points": [ + 176.6, + 459.39, + 206.2, + 467.4 + ] + } + ] + }, + { + "text": "Monochloroacetic acid 0.02 – – – 0.02", + "bbox_points": [ + 168.6, + 469.59, + 527.24, + 477.89 + ], + "words": [ + { + "text": "Monochloroacetic", + "bbox_points": [ + 168.6, + 469.87, + 234.26, + 477.89 + ] + }, + { + "text": "acid", + "bbox_points": [ + 236.64, + 469.87, + 251.51, + 477.89 + ] + }, + { + "text": "0.02", + "bbox_points": [ + 271.27, + 469.87, + 286.52, + 477.89 + ] + }, + { + "text": "–", + "bbox_points": [ + 314.25, + 469.59, + 318.25, + 477.59 + ] + }, + { + "text": "–", + "bbox_points": [ + 411.19, + 469.59, + 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terrestrial water storage simulation using WRF over Central Asia/figure_03.txt b/Media/2025/Wang et al. - 2025 - Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..fd406101ecfa4d9a41bb8d7f75cf2ad201d77e03 --- /dev/null +++ b/Media/2025/Wang et al. - 2025 - Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia/figure_03.txt @@ -0,0 +1 @@ +The regional averaged TWS series over CA from 2004 to 2008 of (a) GRACE-based, (b) WRF-simulated, and (c) the box plots. diff --git a/Media/2025/Wang et al. - 2025 - Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia/figure_04.jpg b/Media/2025/Wang et al. - 2025 - Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia/figure_04.jpg new file mode 100644 index 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over CA. diff --git a/Media/2025/Wang et al. - 2025 - Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia/figure_05.jpg b/Media/2025/Wang et al. - 2025 - Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..c19b6144a1113baf34ec84bcd0fec93c48b93dd4 --- /dev/null +++ b/Media/2025/Wang et al. - 2025 - Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:938313bb123c50625667d790cca8e1acbf76184d639f2e67f57992bbdee8e87b +size 183030 diff --git a/Media/2025/Wang et al. - 2025 - Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia/figure_05.txt b/Media/2025/Wang et al. - 2025 - Mid-resolution regional terrestrial water storage simulation using WRF over Central Asia/figure_05.txt new 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(b) Distribution of the basic meteorological stations, hydrological stations, and large reservoirs in the MRB. 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(a) Counterclockwise pattern; (b) clockwise pattern; (c) figure-eight pattern; and (d) complex loop pattern. diff --git a/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_06.jpg b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..b447eb9768d7e72e496d6b03fb4745b7253b8613 --- /dev/null +++ b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b10f6dc790cb0e8fdb6e166168cb68a4e90b645ec0721761ab49ff813bb593ae +size 114423 diff --git a/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_06.txt b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..316802d6599319a344aa13a19ea4db1d6f102ddf --- /dev/null +++ b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_06.txt @@ -0,0 +1 @@ +(a) Spatial distribution of multiyear average precipitation in the MRB. (b) Temporal variations in the annual precipitation in the MRB. diff --git a/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_07.jpg b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3c64ffe618233c850a158db66693adaadc51ab28 --- /dev/null +++ b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b65c0198effde472639385917657f9e2327d29f3b3a7f4f0f6242d737774fd15 +size 81026 diff --git a/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_07.txt b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..477c50983ea299d279b8873fa70ce5fa5072bc4c --- /dev/null +++ b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_07.txt @@ -0,0 +1 @@ +(a) Spatial distribution of the NDVI in the MRB, corresponding to 1982 and 2020. (b) Relationships between the annual sediment load and the NDVI in the MRB. diff --git a/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_08.jpg b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..be481f54102bde4857fca7040b1df953c5b8c694 --- /dev/null +++ b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:09af60c6f4d0f3f1f3430f5634135d199c6d3dc1ee14463ef19626e9ad061835 +size 95406 diff --git a/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_08.txt b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..d2ba3dbda65eca9c60ae46975d16cf7d067fb6e0 --- /dev/null +++ b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_08.txt @@ -0,0 +1 @@ +Cumulative reservoir capacity and annual sediment load in the MRB from 1957 to 2020. diff --git a/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_09.jpg b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_09.jpg new file mode 100644 index 0000000000000000000000000000000000000000..5d25e2ea25f47593409ed3e28a48be05fd3afd18 --- /dev/null +++ b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_09.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a9d9c1738b417b05fbd6e6bbe870c2fb6bc8855bee4b40712af2201ab6719358 +size 114747 diff --git a/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_09.txt b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_09.txt new file mode 100644 index 0000000000000000000000000000000000000000..563901fdcd72a22cdd0262b1a11b78cd9cdf6e3c --- /dev/null +++ b/Media/2025/Wang et al. - 2025 - Sediment transport characteristics at the flood-event scale in the Minjiang River Basin, China/figure_09.txt @@ -0,0 +1 @@ +(a) Distribution of the major faults and geologic hazards in the MRB. 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Or any other related", + "bbox_points": [ + 115.88, + 172.35, + 503.76, + 180.36 + ], + "words": [ + { + "text": "Have", + "bbox_points": [ + 115.88, + 172.35, + 134.85, + 180.36 + ] + }, + { + "text": "you", + "bbox_points": [ + 137.03, + 172.35, + 150.03, + 180.36 + ] + }, + { + "text": "encountered", + "bbox_points": [ + 152.39, + 172.35, + 197.13, + 180.36 + ] + }, + { + "text": "any", + "bbox_points": [ + 199.5, + 172.35, + 212.4, + 180.36 + ] + }, + { + "text": "problems", + "bbox_points": [ + 214.75, + 172.35, + 248.0, + 180.36 + ] + }, + { + "text": "with", + "bbox_points": [ + 250.3, + 172.35, + 266.27, + 180.36 + ] + }, + { + "text": "standing", + "bbox_points": [ + 268.67, + 172.35, + 298.97, + 180.36 + ] + }, + { + "text": "water", + "bbox_points": [ + 301.32, + 172.35, + 321.15, + 180.36 + ] + }, + { + "text": "or", + "bbox_points": [ + 323.37, + 172.35, + 331.11, + 180.36 + ] + }, + { + "text": "poor", + "bbox_points": [ + 333.52, + 172.35, + 350.41, + 180.36 + ] + }, + { + "text": "drainage", + "bbox_points": [ + 352.8, + 172.35, + 383.73, + 180.36 + ] + }, + { + "text": "on", + "bbox_points": [ + 386.08, + 172.35, + 395.4, + 180.36 + ] + }, + { + "text": "the", + "bbox_points": [ + 397.76, + 172.35, + 409.08, + 180.36 + ] + }, + { + "text": "site?", + "bbox_points": [ + 411.48, + 172.35, + 428.28, + 180.36 + ] + }, + { + "text": "Or", + "bbox_points": [ + 430.64, + 172.35, + 440.54, + 180.36 + ] + }, + { + "text": "any", + "bbox_points": [ + 442.77, + 172.35, + 455.67, + 180.36 + ] + }, + { + "text": "other", + "bbox_points": [ + 457.91, + 172.35, + 476.96, + 180.36 + ] + }, + { + "text": "related", + "bbox_points": [ + 479.34, + 172.35, + 503.76, + 180.36 + ] + } + ] + }, + { + "text": "usage problems?", + "bbox_points": [ + 123.87, + 182.84, + 184.09, + 190.85 + ], + "words": [ + { + "text": "usage", + "bbox_points": [ + 123.87, + 182.84, + 143.94, + 190.85 + ] + }, + { + "text": "problems?", + "bbox_points": [ + 146.27, + 182.84, + 184.09, + 190.85 + ] + } + ] + }, + { + "text": "Have you heard of or understood the ‘Sponge City’ concept and ‘urban flooding’?", + "bbox_points": [ + 115.88, + 193.04, + 409.64, + 201.34 + ], + "words": [ + { + "text": "Have", + "bbox_points": [ + 115.88, + 193.32, + 134.85, + 201.34 + ] + }, + { + "text": "you", + "bbox_points": [ + 137.03, + 193.32, + 150.03, + 201.34 + ] + }, + { + "text": "heard", + "bbox_points": [ + 152.39, + 193.32, + 173.03, + 201.34 + ] + }, + { + "text": "of", + "bbox_points": [ + 175.41, + 193.32, + 182.48, + 201.34 + ] + }, + { + "text": "or", + "bbox_points": [ + 184.87, + 193.32, + 192.61, + 201.34 + ] + }, + { + "text": "understood", + "bbox_points": [ + 194.97, + 193.32, + 235.48, + 201.34 + ] + }, + { + "text": "the", + "bbox_points": [ + 237.82, + 193.32, + 249.14, + 201.34 + ] + }, + { + "text": "‘Sponge", + "bbox_points": [ + 251.54, + 193.04, + 280.17, + 201.34 + ] + }, + { + "text": "City’", + "bbox_points": [ + 282.5, + 193.04, + 299.12, + 201.34 + ] + }, + { + "text": "concept", + "bbox_points": [ + 301.55, + 193.32, + 329.92, + 201.34 + ] + }, + { + "text": "and", + "bbox_points": [ + 332.33, + 193.32, + 345.81, + 201.34 + ] + }, + { + "text": "‘urban", + "bbox_points": [ + 348.21, + 193.04, + 371.24, + 201.34 + ] + }, + { + "text": "flooding’?", + "bbox_points": [ + 373.6, + 193.04, + 409.64, + 201.34 + ] + } + ] + }, + { + "text": "Do you think the Qu Yuan Park has anything to do with sponge cities?", + "bbox_points": [ + 115.88, + 203.81, + 372.25, + 211.83 + ], + "words": [ + { + "text": "Do", + "bbox_points": [ + 115.88, + 203.81, + 127.03, + 211.83 + ] + }, + { + "text": "you", + "bbox_points": [ + 129.37, + 203.81, + 142.38, + 211.83 + ] + }, + { + "text": "think", + "bbox_points": [ + 144.73, + 203.81, + 163.7, + 211.83 + ] + }, + { + "text": "the", + "bbox_points": [ + 166.11, + 203.81, + 177.43, + 211.83 + ] + }, + { + "text": "Qu", + "bbox_points": [ + 179.77, + 203.81, + 190.92, + 211.83 + ] + }, + { + "text": "Yuan", + "bbox_points": [ + 193.32, + 203.81, + 212.54, + 211.83 + ] + }, + { + "text": "Park", + "bbox_points": [ + 214.92, + 203.81, + 231.64, + 211.83 + ] + }, + { + "text": "has", + "bbox_points": [ + 234.03, + 203.81, + 246.26, + 211.83 + ] + }, + { + "text": "anything", + "bbox_points": [ + 248.6, + 203.81, + 279.89, + 211.83 + ] + }, + { + "text": "to", + "bbox_points": [ + 282.27, + 203.81, + 289.42, + 211.83 + ] + }, + { + "text": "do", + "bbox_points": [ + 291.8, + 203.81, + 300.95, + 211.83 + ] + }, + { + "text": "with", + "bbox_points": [ + 303.19, + 203.81, + 319.17, + 211.83 + ] + }, + { + "text": "sponge", + "bbox_points": [ + 321.5, + 203.81, + 346.73, + 211.83 + ] + }, + { + "text": "cities?", + "bbox_points": [ + 349.11, + 203.81, + 372.25, + 211.83 + ] + } + ] + }, + { + "text": "Do you think that ‘rainwater’ is a resource or a nuisance?", + "bbox_points": [ + 115.88, + 214.08, + 323.21, + 222.37 + ], + "words": [ + { + "text": "Do", + "bbox_points": [ + 115.88, + 214.36, + 127.03, + 222.37 + ] + }, + { + "text": "you", + "bbox_points": [ + 129.37, + 214.36, + 142.38, + 222.37 + ] + }, + { + "text": "think", + "bbox_points": [ + 144.73, + 214.36, + 163.7, + 222.37 + ] + }, + { + "text": "that", + "bbox_points": [ + 166.11, + 214.36, + 179.97, + 222.37 + ] + }, + { + "text": "‘rainwater’", + "bbox_points": [ + 182.38, + 214.08, + 220.44, + 222.37 + ] + }, + { + "text": "is", + "bbox_points": [ + 222.8, + 214.36, + 228.46, + 222.37 + ] + }, + { + "text": "a", + "bbox_points": [ + 230.85, + 214.36, + 235.01, + 222.37 + ] + }, + { + "text": "resource", + "bbox_points": [ + 237.43, + 214.36, + 267.82, + 222.37 + ] + }, + { + "text": "or", + "bbox_points": [ + 270.2, + 214.36, + 277.93, + 222.37 + ] + }, + { + "text": "a", + "bbox_points": [ + 280.18, + 214.36, + 284.34, + 222.37 + ] + }, + { + "text": "nuisance?", + "bbox_points": [ + 286.75, + 214.36, + 323.21, + 222.37 + ] + } + ] + }, + { + "text": "Part 3 What are your expectations and suggestions for improvement of the site?", + "bbox_points": [ + 70.86, + 228.36, + 377.88, + 236.38 + ], + "words": [ + { + "text": "Part", + "bbox_points": [ + 70.86, + 228.36, + 85.58, + 236.38 + ] + }, + { + "text": "3", + "bbox_points": [ + 87.99, + 228.36, + 92.4, + 236.38 + ] + }, + { + "text": "What", + "bbox_points": [ + 115.88, + 228.36, + 135.46, + 236.38 + ] + }, + { + "text": "are", + "bbox_points": [ + 137.87, + 228.36, + 149.02, + 236.38 + ] + }, + { + "text": "your", + "bbox_points": [ + 151.25, + 228.36, + 167.36, + 236.38 + ] + }, + { + "text": "expectations", + "bbox_points": [ + 169.57, + 228.36, + 214.22, + 236.38 + ] + }, + { + "text": "and", + "bbox_points": [ + 216.56, + 228.36, + 230.04, + 236.38 + ] + }, + { + "text": "suggestions", + "bbox_points": [ + 232.44, + 228.36, + 273.01, + 236.38 + ] + }, + { + "text": "for", + "bbox_points": [ + 275.41, + 228.36, + 285.64, + 236.38 + ] + }, + { + "text": "improvement", + "bbox_points": [ + 288.0, + 228.36, + 335.6, + 236.38 + ] + }, 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"bbox_points": [ + 480.3, + 325.82, + 513.21, + 333.83 + ] + } + ] + }, + { + "text": "S16 73.97 61.22 0.286004 0.138516", + "bbox_points": [ + 70.87, + 339.82, + 513.21, + 347.83 + ], + "words": [ + { + "text": "S16", + "bbox_points": [ + 70.87, + 339.82, + 84.44, + 347.83 + ] + }, + { + "text": "73.97", + "bbox_points": [ + 171.89, + 339.82, + 191.56, + 347.83 + ] + }, + { + "text": "61.22", + "bbox_points": [ + 273.54, + 339.82, + 293.21, + 347.83 + ] + }, + { + "text": "0.286004", + "bbox_points": [ + 378.65, + 339.82, + 411.56, + 347.83 + ] + }, + { + "text": "0.138516", + "bbox_points": [ + 480.3, + 339.82, + 513.21, + 347.83 + ] + } + ] + }, + { + "text": "S17 69.37 63.42 0.175252 0.192985", + "bbox_points": [ + 70.87, + 353.82, + 513.21, + 361.84 + ], + "words": [ + { + "text": "S17", + "bbox_points": [ + 70.87, + 353.82, + 84.44, + 361.84 + ] + }, + { + "text": "69.37", + "bbox_points": [ + 171.89, + 353.82, + 191.56, + 361.84 + ] + }, + { + "text": "63.42", + "bbox_points": [ 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Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_01.jpg" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..d972aed9000d5ea4410a96f91ad8627dcd026755 --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:76530d3b754092f29ba7819316f6bd0516cd730a01951be428c2f7e730367503 +size 20891 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_01.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the 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process for raw water qualit/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b73640581dd4a4c29d198e1dc134441ad402ee3c10a0897d1672a0979ac61fb8 +size 100349 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_02.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..2c7b94165c2052cb930272a1c88f2ee3a4b5c460 --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_02.txt" @@ -0,0 +1 @@ +Turbidity removal efficiency of four water types in non-rainy and heavy rainfall periods under UF and MF–UF. diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_03.jpg" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..9d43f90d47d54ff82f92b34e271c99092cd7164f --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5a3a90dc46100655ee30983317c2a3e325465b4d322c0bec1813378dd6e65e38 +size 94392 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_03.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the 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Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:dac31add8e555024170a1ee4a7768302e63e0c1e3190c93bbef526c9eea27a9b +size 179579 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_04.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..e8ac4f282bd45e46a3fa5be9feaf122bcbec8e3d --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_04.txt" @@ -0,0 +1 @@ +Fluorescence characteristics of organic matter in dam water. (a, b, c) Raw water, UF, and MF–UF during non-rainy periods; and (d, e, f) raw water, UF, and MF–UF during heavy rainfall periods. diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_05.jpg" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_05.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..bff580fd7ea53dadd31da88e44fb91ea473f595a --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:30cdbfd9859fe630f26c654563b3310af943498c3c589c8422d81f34c50d00e1 +size 184251 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_05.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..e017057e48e6dc008fbfd39c60775b5115d1a9cd --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_05.txt" @@ -0,0 +1 @@ +Fluorescence characteristics of organic matter in stream water. (a, b, c) Raw water, UF, and MF–UF during non-rainy periods; and (d, e, f) raw water, UF, and MF–UF during heavy rainfall periods. diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_06.jpg" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..fa7a76b31f5e89a14bb999ab98bd8989435fe450 --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5497f71507184e6a6e7f78d4e0879b866c5db0a4e579cd256c51f1f41d5b88ca +size 182649 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_06.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..e9239f89075d0ca723e57309c29f46973ffe420b --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_06.txt" @@ -0,0 +1 @@ +Fluorescence characteristics of organic matter in mountain pond water. (a, b, c) Raw water, UF, and MF–UF during non-rainy periods; and (d, e, f) raw water, UF, and MF–UF during heavy rainfall periods. diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_07.jpg" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_07.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..a4027bb37bcf53435caed92380d21b530ad2d8ef --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_07.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a22450eb1b4fa709936294da8d462afd3c4f978c813472c9c73454386e8b2253 +size 183822 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_07.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_07.txt" new file mode 100644 index 0000000000000000000000000000000000000000..1db8ed6c4b870285434a3c90513c687983521608 --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_07.txt" @@ -0,0 +1 @@ +Fluorescence characteristics of organic matter in reservoir water. (a, b, c) Raw water, UF, and MF–UF during non-rainy periods; and (d, e, f) raw water, UF, and MF–UF during heavy rainfall periods. diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_08.jpg" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_08.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..f857fb25420c8660f9f16c362c88cca98fae4a9d --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_08.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:bd20cbf0711d7e3b1f74c0b3a4cb499a7df06bada3f5a5d0fc125374fcbcf901 +size 100297 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_08.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_08.txt" new file mode 100644 index 0000000000000000000000000000000000000000..700ccd2011454a2e15488eff3833ef57310e57f3 --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_08.txt" @@ -0,0 +1 @@ +The flux variation of UF membranes in treating dam water during non-rainy and heavy rainfall periods under UF and MF–UF processes. diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_09.jpg" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_09.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..ff57ce10e0c1fb9099366e0bb79687ccd5f6632a --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_09.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2a37618bc66411444d0711700f993ccb7d98cb4496a09c1eca289723fd6c3dc4 +size 104769 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_09.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_09.txt" new file mode 100644 index 0000000000000000000000000000000000000000..edc29f39a0decc6defadd5c4cc78873780a9211d --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_09.txt" @@ -0,0 +1 @@ +The flux variation of UF membranes in treating stream water during non-rainy and heavy rainfall periods under UF and MF–UF processes. diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_10.jpg" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_10.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..e44fb998dbd942a1c4af198e262a535ee0baa16b --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_10.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:587dd363730ee2f271807f2cf75dba68506b67376bc328df2d2da2277c1e517f +size 111038 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_10.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_10.txt" new file mode 100644 index 0000000000000000000000000000000000000000..2bad8c11ca79b7d35875e8013b43be4c89493e62 --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_10.txt" @@ -0,0 +1 @@ +The flux variation of UF membranes in treating reservoir water during non-rainy and heavy rainfall periods under UF and MF–UF processes. diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_11.jpg" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_11.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..fe67a3763d78a607abbb15d8c4710fe7cb2a1b66 --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_11.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:5f7579802fc5388480bb88ea7888d1fbd5f791b5b6286e828f1cd8e113408258 +size 101153 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_11.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_11.txt" new file mode 100644 index 0000000000000000000000000000000000000000..75cd3a65861f27edcfaebd141d63c9d5f8a762bc --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_11.txt" @@ -0,0 +1 @@ +The flux variation of UF membranes in treating mountain pond water during non-rainy and heavy rainfall periods under UF and MF–UF processes. diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_12.jpg" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_12.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..b789fdf891cbc8da8829e912b5ce52fd39b44dac --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_12.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8d2c01fb4f44bfb3598ea6c17098b9998e319902834b393657dd66ab252ad259 +size 179732 diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_12.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_12.txt" new file mode 100644 index 0000000000000000000000000000000000000000..02d23363870d1ae6e7306428d749a206a107c18c --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/figure_12.txt" @@ -0,0 +1 @@ +SEM images of membrane surface cake layer at 5.00 and 20.0 μm. 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672.18 + ] + }, + { + "text": "algae:", + "bbox_points": [ + 440.05, + 664.16, + 461.03, + 672.18 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.35, + 664.16, + 467.77, + 672.18 + ] + }, + { + "text": "M", + "bbox_points": [ + 469.76, + 664.16, + 477.5, + 672.18 + ] + }, + { + "text": "/L", + "bbox_points": [ + 479.91, + 664.16, + 488.81, + 672.18 + ] + } + ] + }, + { + "text": "Heavy rainfall period at the reservoir HA, FAS: 20 mg/L, algae: 1 M/L, Kaolin: 100 mg/L", + "bbox_points": [ + 64.01, + 678.16, + 554.69, + 686.18 + ], + "words": [ + { + "text": "Heavy", + "bbox_points": [ + 64.01, + 678.16, + 87.13, + 686.18 + ] + }, + { + "text": "rainfall", + "bbox_points": [ + 89.52, + 678.16, + 115.01, + 686.18 + ] + }, + { + "text": "period", + "bbox_points": [ + 117.41, + 678.16, + 140.63, + 686.18 + ] + }, + { + "text": "at", + "bbox_points": [ + 142.98, + 678.16, + 149.53, + 686.18 + ] + }, + { + "text": "the", + "bbox_points": [ + 151.94, + 678.16, + 163.26, + 686.18 + ] + }, + { + "text": "reservoir", + "bbox_points": [ + 165.66, + 678.16, + 197.15, + 686.18 + ] + }, + { + "text": "HA,", + "bbox_points": [ + 367.6, + 678.16, + 382.6, + 686.18 + ] + }, + { + "text": "FAS:", + "bbox_points": [ + 384.95, + 678.16, + 402.61, + 686.18 + ] + }, + { + "text": "20", + "bbox_points": [ + 404.96, + 678.16, + 413.79, + 686.18 + ] + }, + { + "text": "mg/L,", + "bbox_points": [ + 415.79, + 678.16, + 437.69, + 686.18 + ] + }, + { + "text": "algae:", + "bbox_points": [ + 440.05, + 678.16, + 461.03, + 686.18 + ] + }, + { + "text": "1", + "bbox_points": [ + 463.35, + 678.16, + 467.77, + 686.18 + ] + }, + { + "text": "M/L,", + "bbox_points": [ + 469.76, + 678.16, + 488.41, + 686.18 + ] + }, + { + "text": "Kaolin:", + "bbox_points": [ + 490.74, + 678.16, + 517.2, + 686.18 + ] + }, + { + "text": "100", + "bbox_points": [ + 519.59, + 678.16, + 532.84, + 686.18 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 534.79, + 678.16, + 554.69, + 686.18 + ] + } + ] + }, + { + "text": "Non-rainy period at the mountain pond HA, FAS: 20 mg/L, Kaolin: 50 mg/L", + "bbox_points": [ + 64.01, + 692.17, + 499.53, + 700.18 + ], + "words": [ + { + "text": "Non-rainy", + "bbox_points": [ + 64.01, + 692.17, + 100.33, + 700.18 + ] + }, + { + "text": "period", + "bbox_points": [ + 102.73, + 692.17, + 125.95, + 700.18 + ] + }, + { + "text": "at", + "bbox_points": [ + 128.3, + 692.17, + 134.84, + 700.18 + ] + }, + { + "text": "the", + "bbox_points": [ + 137.26, + 692.17, + 148.58, + 700.18 + ] + }, + { + "text": "mountain", + "bbox_points": [ + 150.92, + 692.17, + 185.62, + 700.18 + ] + }, + { + "text": "pond", + "bbox_points": [ + 188.0, + 692.17, + 206.47, + 700.18 + ] + }, + { + "text": "HA,", + "bbox_points": [ + 367.6, + 692.17, + 382.6, + 700.18 + ] + }, + { + "text": "FAS:", + "bbox_points": [ + 384.95, + 692.17, + 402.61, + 700.18 + ] + }, + { + "text": "20", + "bbox_points": [ + 404.96, + 692.17, + 413.79, + 700.18 + ] + }, + { + "text": "mg/L,", + "bbox_points": [ + 415.79, + 692.17, + 437.69, + 700.18 + ] + }, + { + "text": "Kaolin:", + "bbox_points": [ + 440.05, + 692.17, + 466.42, + 700.18 + ] + }, + { + "text": "50", + "bbox_points": [ + 468.85, + 692.17, + 477.68, + 700.18 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 479.62, + 692.17, + 499.53, + 700.18 + ] + } + ] + }, + { + "text": "Heavy rainfall period at the mountain pond HA, FAS: 5 mg/L, Kaolin: 600 mg/L", + "bbox_points": [ + 64.01, + 706.17, + 499.53, + 714.19 + ], + "words": [ + { + "text": "Heavy", + "bbox_points": [ + 64.01, + 706.17, + 87.13, + 714.19 + ] + }, + { + "text": "rainfall", + "bbox_points": [ + 89.52, + 706.17, + 115.01, + 714.19 + ] + }, + { + "text": "period", + "bbox_points": [ + 117.41, + 706.17, + 140.63, + 714.19 + ] + }, + { + "text": "at", + "bbox_points": [ + 142.98, + 706.17, + 149.53, + 714.19 + ] + }, + { + "text": "the", + "bbox_points": [ + 151.94, + 706.17, + 163.26, + 714.19 + ] + }, + { + "text": "mountain", + "bbox_points": [ + 165.66, + 706.17, + 200.28, + 714.19 + ] + }, + { + "text": "pond", + "bbox_points": [ + 202.68, + 706.17, + 221.15, + 714.19 + ] + }, + { + "text": "HA,", + "bbox_points": [ + 367.6, + 706.17, + 382.6, + 714.19 + ] + }, + { + "text": "FAS:", + "bbox_points": [ + 384.95, + 706.17, + 402.61, + 714.19 + ] + }, + { + "text": "5", + "bbox_points": [ + 404.96, + 706.17, + 409.37, + 714.19 + ] + }, + { + "text": "mg/L,", + "bbox_points": [ + 411.36, + 706.17, + 433.27, + 714.19 + ] + }, + { + "text": "Kaolin:", + "bbox_points": [ + 435.63, + 706.17, + 462.09, + 714.19 + ] + }, + { + "text": "600", + "bbox_points": [ + 464.43, + 706.17, + 477.68, + 714.19 + ] + }, + { + "text": "mg/L", + "bbox_points": [ + 479.62, + 706.17, + 499.53, + 714.19 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/table_01.txt" "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/table_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..4c63ef94fbb5e7f9f678781acc283bdbe155171b --- /dev/null +++ "b/Media/2025/Yao et al. - 2025 - Enhanced purification efficacy of the microflocculation\342\200\223ultrafiltration process for raw water qualit/table_01.txt" @@ -0,0 +1 @@ +Non-rainy and heavy rainfall periods different water source ratios diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_01.jpg b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_01.jpg new file mode 100644 index 0000000000000000000000000000000000000000..92c827eb2e7ee0c8e233ea2358b731845ff49f30 --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_01.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:91f0f2d0e05927ef12afe475897f18e5606750e9556aeb466251a7550b4937a0 +size 118526 diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_01.txt b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e5ee107e1a30eeaed8b3cbd8a6fe10a859faf99 --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_01.txt @@ -0,0 +1 @@ +Map of the study area. diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_02.jpg b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..283047ebd31d1460a9bcf800554d2cc1f09c6f94 --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:103b464a67c26f021b261fa373c613034039a157785a6ccd830dc826be455c7a +size 107808 diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_02.txt b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..71dcaf2c916652feeb59832cc64ea74c2d77ccd1 --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_02.txt @@ -0,0 +1 @@ +Simplified methodology for LULC change detection. diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_03.jpg b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1925ed073a366aa9b76208a51be57aca531d7300 --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e54b78d844f978752878339face97a5eaeec496e0b1e9519f8e40bafbd51511b +size 43527 diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_03.txt b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..d29e90e2ad53b27c25ca60a46028b812b8f0cff6 --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_03.txt @@ -0,0 +1 @@ +Change detection in EBFs. diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_04.jpg b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..1e6e41073865e459a8533d119f1d278f09a1a7cf --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a824f0758b2a583d80e1da979c9fdf8985e00ea0d514967dfc23c66d3d70ac3 +size 44620 diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_04.txt b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..b000137ef7ee5cfc054ad678e2dd107ca1c251ec --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_04.txt @@ -0,0 +1 @@ +CL variations. diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_05.jpg b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..7c99f13369ee64142cf1ba883cefbbc41f69a2c4 --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2ac34cf5e6ac7e928327603f20b12b307714f359bb55a04a3404b666e5d09c5 +size 41154 diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_05.txt b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..5899fa5ba3ce13e1dfaa7e1591e054d445746f95 --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_05.txt @@ -0,0 +1 @@ +Variations in Sav land. diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_06.jpg b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0fd805f45b9702e0d6a244e6c5fa76469640049c --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e07e8184d72c1982df519e8f038dfbec0039179846485ae4d78334bd57bce51f +size 38374 diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_06.txt b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..f95878ed490a469c06073ae503fb02a144b9eb58 --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_06.txt @@ -0,0 +1 @@ +Variations in GLs. diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_07.jpg b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..fc84845e0909a7a2b310a2a9178b9c6d2cff647e --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0baf224a6d1d77104888546aa3c348b226e315b068c04f2a39efe1ed95121a91 +size 41404 diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_07.txt b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..bf6cb9c2cf1fe007b6cdfeca44e635d66cd7400b --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_07.txt @@ -0,0 +1 @@ +Variations in PWLs. diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/figure_08.jpg b/Media/2025/Yoshe - 2025 - Land use land cover 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340.66, + 753.53 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/table_01.txt b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..0025dbff115edb23712cee65e40a367080a77aa7 --- /dev/null +++ b/Media/2025/Yoshe - 2025 - Land use land cover detections using MODIS MCD12Q1 V6.1 and ESRI Sentinel-2 datasets in the Lake Cha/table_01.txt @@ -0,0 +1 @@ +Statistical accuracy assessment for LULC evaluation diff --git a/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_01.jpg b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources 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sources ins/figure_01.txt @@ -0,0 +1 @@ +Sampling sites for urban rivers and sewage effluent. The number in parentheses indicates the mixing ratio of sewage effluent to river flow, which was roughly estimated in this study (see Text S1). diff --git a/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_02.jpg b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..6cdf5832d8d59a9e4686ce08d92e058d63fc5236 --- /dev/null +++ b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1a9839849482bfd73c39b61eeb8020abbdc12ab7e0db09b8fa0a4d8c9b85e475 +size 182117 diff --git a/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_02.txt b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..3642341e9822c781bc79ba2dc04f924979cb1398 --- /dev/null +++ b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_02.txt @@ -0,0 +1 @@ +Putative pathogenic species in mountain streams (a), urban rivers and sewage effluent (b), EF indicates sewage effluent. The white color indicates not detected. diff --git a/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_03.jpg b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_03.jpg new file mode 100644 index 0000000000000000000000000000000000000000..47813863025bdc3dfe8150acc2afb3206d68aadc --- /dev/null +++ b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_03.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:c0b3afb6b44b2be488b7d52b9b5299837ed09080512d904554a423687db74008 +size 117775 diff --git a/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_03.txt b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_03.txt new file mode 100644 index 0000000000000000000000000000000000000000..f69220d6edd78d5907088003e071196b0a85b47c --- /dev/null +++ b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_03.txt @@ -0,0 +1 @@ +Richness and relative abundance of total (a, b) and enteric pathogenic bacteria (c, d). Negative samples were included for cal- culations. MS, UR, and EF indicate mountain stream, urban river and sewage effluent, respectively. The shape of square indicates average value. The differences among water types are shown: ‘n.s.’ means not significant; ‘**’ and ‘***’ mean p , 0.01 and 0.001, respectively. diff --git a/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_04.jpg b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0fd68cec31cf5eaf9d66432fb652b6339c23840c --- /dev/null +++ b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:9409230b7ff12b4b181f52fc8d8c3c36736d3ac9b2f8d8c2b45bc789ec99a68e +size 88582 diff --git a/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_04.txt b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..2d4fb34b8ebc3efb289a0f47cbd06d3f1d87b19d --- /dev/null +++ b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_04.txt @@ -0,0 +1 @@ +The seasonal variations in pathogen richness and relative abundance for mountain streams (a, b) and urban river (c, d). The shape of square indicates average value. diff --git a/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_05.jpg b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..0fed85edc6d7d885446fb1c076c5522ba2714821 --- /dev/null +++ b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:58a9d52d6d4b5bb36ed2f705a3d14d0eae692e6101d1f54b669d6cbd0494fa2d +size 123523 diff --git a/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_05.txt b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..bce660a20a178e0a7bb88f580932142e4c34703e --- /dev/null +++ b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_05.txt @@ -0,0 +1 @@ +Relationships between total (a, c) or enteric (b, d) pathogen relative abundance and FIB concentration for mountain streams (a, b) and urban rivers (c, d). FIB-negative samples were included for analysis but not shown in the figures. Green symbols indicate E. coli and red symbols indicate C. perfringens. rs indicates Spearman’s rank correlation coefficient. rs in bold indicates significant relationship. diff --git a/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_06.jpg b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_06.jpg new file mode 100644 index 0000000000000000000000000000000000000000..90535ebad9acb33d4e99db89807793bc0d26d20b --- /dev/null +++ b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_06.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ba8f99ed5e4f3a03f15432f4e552ea24009772e9c9a16cab2649b82ae1c150e +size 159948 diff --git a/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_06.txt b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_06.txt new file mode 100644 index 0000000000000000000000000000000000000000..ccd88a41056d72dbac8dd2c75928cf6821231331 --- /dev/null +++ b/Media/2025/Zeng et al. - 2025 - Influence of sewage effluent discharge on putative pathogen community in drinking water sources ins/figure_06.txt @@ -0,0 +1 @@ +NMDS plots of pathogenic bacterial communities collapsed at the genus level. (a) Urban rivers and WWTP effluent; (b) urban rivers and mountain streams. Genus (blue) and water quality (black) vectors indicate the direction and strength of significant correlations within the NMDS ordinations. 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Green symbols indicate E. coli and red symbols indicate C. perfringens. rs indicates Spearman’s rank correlation coefficient. rs in bold indicates significant relationship.", + "image": "figure_05.jpg", + "caption_file": "figure_05.txt", + "figure_bbox_points": [ + 89.98, + 77.28, + 540.15, + 438.0 + ], + "caption_bbox_points": [ + 64.01, + 439.48, + 566.01, + 469.03 + ], + "crop_method": "embedded_image", + "position_relative_to_caption": "above", + "image_size_bytes": 123523, + "jpeg_quality": 88, + "data_file": null, + "structure_extracted": null, + "row_count": null, + "column_count": null + }, + { + "kind": "figure", + "label": "figure_06", + "page": 10, + "caption": "NMDS plots of pathogenic bacterial communities collapsed at the genus level. (a) Urban rivers and WWTP effluent; (b) urban rivers and mountain streams. Genus (blue) and water quality (black) vectors indicate the direction and strength of significant correlations within the NMDS ordinations. 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Data are the mean of three independent replicates with standard deviations. diff --git a/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_02.jpg b/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..790a9f006dabcb0e279bb639b939fbc4a1a5ceca --- /dev/null +++ b/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a2127901979d99065c08632099a285a3fae6749620ab6f408aba9bbb13f6a3dc +size 72078 diff --git a/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_02.txt b/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_02.txt new file mode 100644 index 0000000000000000000000000000000000000000..80bacc7b6ae3f1eb33952bada34f1b5f65fa9d79 --- /dev/null +++ b/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_02.txt @@ -0,0 +1 @@ +Degradation of tetradecane (TET) with the presence of phenanthrene (a) and hexadecane with the presence of anthracene (b) by Rhodococcus sp. strain p52. 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Data are the mean of three independent replicates with standard deviations. diff --git a/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_04.jpg b/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..3fda1a3cf22b169625266f4ccce82452a1e68e9e --- /dev/null +++ b/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:d6867021ab9cf88e7a9869b3bc84f15460e8acf64b0914d3fc5be59002422412 +size 77386 diff --git a/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_04.txt b/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..bb06d9b30ad007c756f730c43d9be3405a16a602 --- /dev/null +++ b/Media/2025/Zhang and Qin - 2025 - Degradation of aliphatic and aromatic hydrocarbon mixture by a Rhodococcus sp_/figure_04.txt @@ -0,0 +1 @@ +Degradation of diesel fuel by Rhodococcus sp. strain p52. 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0000000000000000000000000000000000000000..a35eface11c9ca5f8ba129a9d2965de2da1d2f22 --- /dev/null +++ b/Media/2025/Zhang et al. - 2025 - Runoff prediction using combined machine learning models and signal decomposition/table_05.txt @@ -0,0 +1 @@ +Accuracy evaluation indicators for decomposition combination models diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_01.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..934f99c67f33c74f153ef566ca9ad6de4b0ec21c --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_01.jpg" @@ -0,0 +1,3 @@ +version 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Zhaiyk\342\200\223Caspian water basin under changi/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2ed7feb803e92e76e102dd32a0ff8836e0f1e1e35a3359281bf9e5b08dfa6a30 +size 85391 diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_03.txt" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..c0b53a89994749e52e8ecbc8584fb7b42681b861 --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_03.txt" @@ -0,0 +1 @@ +Results of the Z-stat test of the Mann–Kendall time series of atmospheric precipitation at meteorological stations of the Zhaiyk– Caspian water economy basin. diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_04.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..19daa05d1a153873378c1b97cacd9a8ccbd9a861 --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:025e4416824757e68144884ab81a8b86b5cf8560ee89a2788bd4661fc2b93e5a +size 174115 diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_04.txt" 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0000000000000000000000000000000000000000..374d375460daf066340bcb811cd9cabb16ab1d74 --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_05.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8d46617d93b971bec0e6f7417552520f7c831aa88de36009c565be79d8a311ac +size 183469 diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_05.txt" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..1f7c1411642280268c5773fa535f19e5419545d6 --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_05.txt" @@ -0,0 +1 @@ +Maximum snow-water equivalent for the modern period. diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_06.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_06.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..1f1d20d3746a3b7c736d31456547fb91267f3f0a --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_06.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:665df66934bca177d22caf2ddc1ac313c87feb03bea872f432b3ada7e832b847 +size 107420 diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_06.txt" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..6e84922c149507a99c20b6c8dfb7ed7710444487 --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_06.txt" @@ -0,0 +1 @@ +Time series of the snow-water equivalent anomalies at meteorological stations located in the Mugojar Mountains region. diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_07.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian 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Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_07.txt" @@ -0,0 +1 @@ +Time series of the snow-water equivalent anomalies at meteorological stations located in the Caspian Lowland area. diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_08.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_08.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..5c5368203ec85536f1d251854ee4af06f0c3418a --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_08.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:59bd4d36050f0a075b6a5095fde625a9d9ef7bc6803307a1381f1c891dcb626e +size 103213 diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_08.txt" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_08.txt" new file mode 100644 index 0000000000000000000000000000000000000000..9ea2659f4229e836eb1db3cd6ef0afc21b817e4c --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_08.txt" @@ -0,0 +1 @@ +Time series of the snow-water equivalent anomalies at meteorological stations located in the Podural Plateau area. diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_09.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_09.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..5f70eabcab19ede13d264334445ee490755c1d67 --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_09.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:e79ab9ce959afd4fd91522f94c1b56938e7f32c93f6b3058b9a3ceedbcc92c7f +size 92486 diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_09.txt" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_09.txt" new file mode 100644 index 0000000000000000000000000000000000000000..fab8b081979a58ee7c285e728773c0e979227644 --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_09.txt" @@ -0,0 +1 @@ +Time series of soil freezing depth anomalies. diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_10.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_10.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..1a20677e2678956128490cab756c256c6b23fb90 --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_10.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:50ab5136013f8c44f2f4598dfdbd179a87fc9c57e70c0f62d3cc285d2b2ab56f +size 122796 diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_10.txt" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_10.txt" new file mode 100644 index 0000000000000000000000000000000000000000..db7be4978c35b6894e80459e3aa3a845bfff8fde --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_10.txt" @@ -0,0 +1 @@ +Dynamics of water-reservoir commissioning. diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_11.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_11.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..2a00ff02d7d0dc59d130d5c6d4a3fb0096e60298 --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_11.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:6ac729270efd7fc4795ce796b61f8929cc5afa5d98aed3f31a88ff3e5ea11027 +size 177767 diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_11.txt" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_11.txt" new file mode 100644 index 0000000000000000000000000000000000000000..8c1d4d27811aea886a0639205cf53b4e4b4a3eba --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_11.txt" @@ -0,0 +1 @@ +(a) Change in the spring flow volume, (b) date of the beginning of the spring high water, (c) share of the high water flow in the annual volume of flow, and (d) and duration of the spring high water flow. The dotted line shows the trend line (Elek River – Aktobe). diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_12.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_12.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..e4dc0212690f6210e50eebcdc1fec41aa7f6d0af --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_12.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:8a5b2a0e00e1db0a3d57460a6f92b2e7fedec2fb4c1f927f601c35f7baa97d06 +size 180217 diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_12.txt" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_12.txt" new file mode 100644 index 0000000000000000000000000000000000000000..bb8c9de7661715f4d9839e9960deac57620baef3 --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_12.txt" @@ -0,0 +1 @@ +Changes in maximum spring high-water discharges. diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_13.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_13.jpg" new file mode 100644 index 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Zhaiyk\342\200\223Caspian water basin under changi/figure_13.txt" @@ -0,0 +1 @@ +Dynamics of minimum average monthly water discharges (summer–autumn and winter) of the rivers of the Zhaiyk–Caspian water economy basin. diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_14.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_14.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..504b0e78e206bfd82c25e1d6c91524fa6fc0f66b --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/figure_14.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:828aedeab97247e824eaf4b0420ae4de1175eee7adbfc67498c24d131e9f1a35 +size 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"Start day of high End day of high High water Qmax High-water flow High-water flow in %", + "bbox_points": [ + 208.74, + 99.69, + 564.96, + 106.38 + ], + "words": [ + { + "text": "Start", + "bbox_points": [ + 208.74, + 99.72, + 224.1, + 105.72 + ] + }, + { + "text": "day", + "bbox_points": [ + 226.09, + 99.72, + 237.21, + 105.72 + ] + }, + { + "text": "of", + "bbox_points": [ + 239.13, + 99.72, + 245.44, + 105.72 + ] + }, + { + "text": "high", + "bbox_points": [ + 247.41, + 99.72, + 261.02, + 105.72 + ] + }, + { + "text": "End", + "bbox_points": [ + 270.2, + 99.72, + 281.94, + 105.72 + ] + }, + { + "text": "day", + "bbox_points": [ + 283.92, + 99.72, + 295.04, + 105.72 + ] + }, + { + "text": "of", + "bbox_points": [ + 296.9, + 99.72, + 303.21, + 105.72 + ] + }, + { + "text": "high", + "bbox_points": [ + 305.23, + 99.72, + 318.85, + 105.72 + ] + }, + { + "text": "High", + "bbox_points": [ + 330.01, + 99.72, + 344.13, + 105.72 + ] + }, + { + "text": "water", + "bbox_points": [ + 346.11, 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"bbox_points": [ + 89.8, + 239.36, + 508.69, + 247.38 + ], + "words": [ + { + "text": "Zhympity", + "bbox_points": [ + 89.8, + 239.36, + 124.76, + 247.38 + ] + }, + { + "text": "After", + "bbox_points": [ + 151.76, + 239.36, + 169.99, + 247.38 + ] + }, + { + "text": "1974", + "bbox_points": [ + 172.34, + 239.36, + 190.01, + 247.38 + ] + }, + { + "text": "27/III", + "bbox_points": [ + 208.74, + 239.36, + 230.63, + 247.38 + ] + }, + { + "text": "18/IV", + "bbox_points": [ + 270.19, + 239.36, + 291.76, + 247.38 + ] + }, + { + "text": "23", + "bbox_points": [ + 330.01, + 239.36, + 338.84, + 247.38 + ] + }, + { + "text": "66", + "bbox_points": [ + 391.57, + 239.36, + 400.41, + 247.38 + ] + }, + { + "text": "24", + "bbox_points": [ + 426.95, + 239.36, + 435.78, + 247.38 + ] + }, + { + "text": "84", + "bbox_points": [ + 499.86, + 239.36, + 508.69, + 247.38 + ] + } + ] + }, + { + "text": "Δ þ2 3 5 22 9 þ3", + "bbox_points": [ + 151.76, + 249.62, + 510.39, + 257.92 + ], + "words": [ + { + 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] + }, + { + "text": "36", + "bbox_points": [ + 330.0, + 508.87, + 338.83, + 516.89 + ] + }, + { + "text": "361", + "bbox_points": [ + 391.57, + 508.87, + 404.82, + 516.89 + ] + }, + { + "text": "112", + "bbox_points": [ + 426.95, + 508.87, + 440.19, + 516.89 + ] + }, + { + "text": "74", + "bbox_points": [ + 499.85, + 508.87, + 508.69, + 516.89 + ] + } + ] + }, + { + "text": "Karasu After 1974 26/III 27/IV 32 206 117 75", + "bbox_points": [ + 89.8, + 519.36, + 508.69, + 527.38 + ], + "words": [ + { + "text": "Karasu", + "bbox_points": [ + 89.8, + 519.36, + 115.01, + 527.38 + ] + }, + { + "text": "After", + "bbox_points": [ + 151.76, + 519.36, + 169.99, + 527.38 + ] + }, + { + "text": "1974", + "bbox_points": [ + 172.34, + 519.36, + 190.0, + 527.38 + ] + }, + { + "text": "26/III", + "bbox_points": [ + 208.74, + 519.36, + 230.63, + 527.38 + ] + }, + { + "text": "27/IV", + "bbox_points": [ + 270.19, + 519.36, + 291.76, + 527.38 + ] + }, + { + "text": "32", + "bbox_points": [ + 330.0, + 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510.39, + 537.87 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/table_05.txt" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/table_05.txt" new file mode 100644 index 0000000000000000000000000000000000000000..9af9f56445f8823f8f9f51f3aac0ec96e7863dd9 --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/table_05.txt" @@ -0,0 +1 @@ +Characteristics of the spring high water of the rivers of the Zhaiyk–Caspian economy water basin diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/table_06.jpg" 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2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/table_07.txt" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/table_07.txt" new file mode 100644 index 0000000000000000000000000000000000000000..7ba83b5edc67b90190bc82b7641f817bb2ac27be --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/table_07.txt" @@ -0,0 +1 @@ +Parameters of minimum flow distribution during summer–autumn low-water period of the main rivers of the basin under consider- diff --git "a/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/table_08.jpg" "b/Media/2025/Zhanibek et al. - 2025 - Transformation of seasonal distribution of river flow in the Zhaiyk\342\200\223Caspian water basin under changi/table_08.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..500f2369c1a05903948bfaa27cb4d634ec4626ae --- /dev/null +++ "b/Media/2025/Zhanibek et al. - 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[ + 437.44, + 268.9, + 472.35, + 276.91 + ] + }, + { + "text": "80,292,802", + "bbox_points": [ + 506.21, + 268.9, + 545.54, + 276.91 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Zhong and Chen - 2025 - Assessing the Riparian Squeeze in the Greater Bay Area based on multisource data/table_01.txt b/Media/2025/Zhong and Chen - 2025 - Assessing the Riparian Squeeze in the Greater Bay Area based on multisource data/table_01.txt new file mode 100644 index 0000000000000000000000000000000000000000..e3873a62d1740876e8ed3b7b74fa41cdeeeb735c --- /dev/null +++ b/Media/2025/Zhong and Chen - 2025 - Assessing the Riparian Squeeze in the Greater Bay Area based on multisource data/table_01.txt @@ -0,0 +1 @@ +Characteristics of GIS datasets of various cities diff --git a/Media/2025/Zhong and Chen - 2025 - Assessing the Riparian Squeeze in the Greater Bay Area based on multisource data/table_02.jpg b/Media/2025/Zhong and Chen - 2025 - Assessing the Riparian Squeeze in the 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@@ -0,0 +1,1466 @@ +{ + "kind": "table", + "label": "table_02", + "number": 2, + "caption": "Framework of the RSI", + "page": 7, + "table_bbox_points": [ + 40.43, + 335.18, + 548.44, + 494.98 + ], + "caption_bbox_points": [ + 43.43, + 326.95, + 159.53, + 335.18 + ], + "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": "Theme Indicator Description", + "bbox_points": [ + 43.43, + 349.74, + 296.12, + 355.74 + ], + "words": [ + { + "text": "Theme", + "bbox_points": [ + 43.43, + 349.74, + 64.23, + 355.74 + ] + }, + { + "text": "Indicator", + "bbox_points": [ + 161.69, + 349.74, + 189.72, + 355.74 + ] + }, + { + "text": "Description", + "bbox_points": [ + 260.28, + 349.74, + 296.12, + 355.74 + ] + } + ] + }, + { + "text": "1. Spatial distance Short distance Proportion of sample points with Riparian Squeeze Distances of less than 5 m", + "bbox_points": [ + 43.43, + 364.88, + 541.05, + 372.89 + ], + "words": [ + { + "text": "1.", + "bbox_points": [ + 43.43, + 364.88, + 49.84, + 372.89 + ] + }, + { + "text": "Spatial", + "bbox_points": [ + 52.27, + 364.88, + 76.93, + 372.89 + ] + }, + { + "text": "distance", + "bbox_points": [ + 79.31, + 364.88, + 108.83, + 372.89 + ] + }, + { + "text": "Short", + "bbox_points": [ + 161.69, + 364.88, + 181.49, + 372.89 + ] + }, + { + "text": "distance", + "bbox_points": [ + 183.85, + 364.88, + 213.43, + 372.89 + ] + }, + { + "text": "Proportion", + "bbox_points": [ + 260.28, + 364.88, + 299.38, + 372.89 + ] + }, + { + "text": "of", + "bbox_points": [ + 301.72, + 364.88, + 308.79, + 372.89 + ] + }, + { + "text": "sample", + "bbox_points": [ + 311.19, + 364.88, + 336.58, + 372.89 + ] + }, + { + "text": "points", + "bbox_points": [ + 338.91, + 364.88, + 361.04, + 372.89 + ] + }, + { + "text": "with", + "bbox_points": [ + 363.4, + 364.88, + 379.38, + 372.89 + ] + }, + { + "text": "Riparian", + "bbox_points": [ + 381.77, + 364.88, + 412.8, + 372.89 + ] + }, + { + "text": "Squeeze", + "bbox_points": [ + 415.16, + 364.88, + 444.9, + 372.89 + ] + }, + { + "text": "Distances", + "bbox_points": [ + 447.19, + 364.88, + 482.08, + 372.89 + ] + }, + { + "text": "of", + "bbox_points": [ + 484.44, + 364.88, + 491.51, + 372.89 + ] + }, + { + "text": "less", + "bbox_points": [ + 493.91, + 364.88, + 506.89, + 372.89 + ] + }, + { + "text": "than", + "bbox_points": [ + 509.05, + 364.88, + 525.27, + 372.89 + ] + }, + { + "text": "5", + "bbox_points": [ + 527.7, + 364.88, + 532.11, + 372.89 + ] + }, + { + "text": "m", + "bbox_points": [ + 534.05, + 364.88, + 541.05, + 372.89 + ] + } + ] + }, + { + "text": "Medium distance Proportion of sample points with Riparian Squeeze Distances of less than 10 m", + "bbox_points": [ + 161.69, + 375.37, + 545.47, + 383.38 + ], + "words": [ + { + "text": "Medium", + "bbox_points": [ + 161.69, + 375.37, + 191.91, + 383.38 + ] + }, + { + "text": "distance", + "bbox_points": [ + 194.29, + 375.37, + 223.8, + 383.38 + ] + }, + { + "text": "Proportion", + "bbox_points": [ + 260.28, + 375.37, + 299.38, + 383.38 + ] + }, + { + "text": "of", + "bbox_points": [ + 301.72, + 375.37, + 308.79, + 383.38 + ] + }, + { + "text": "sample", + "bbox_points": [ + 311.19, + 375.37, + 336.58, + 383.38 + ] + }, + { + "text": "points", + "bbox_points": [ + 338.91, + 375.37, + 361.04, + 383.38 + ] + }, + { + "text": "with", + "bbox_points": [ + 363.4, + 375.37, + 379.38, + 383.38 + ] + }, + { + "text": "Riparian", + "bbox_points": [ + 381.77, + 375.37, + 412.8, + 383.38 + ] + }, + { + "text": "Squeeze", + "bbox_points": [ + 415.16, + 375.37, + 444.9, + 383.38 + ] + }, + { + "text": "Distances", + "bbox_points": [ + 447.19, + 375.37, + 482.08, + 383.38 + ] + }, + { + "text": "of", + "bbox_points": [ + 484.44, + 375.37, + 491.51, + 383.38 + ] + }, + { + "text": "less", + "bbox_points": [ + 493.91, + 375.37, + 506.89, + 383.38 + ] + }, + { + "text": "than", + "bbox_points": [ + 509.05, + 375.37, + 525.27, + 383.38 + ] + }, + { + "text": "10", + "bbox_points": [ + 527.7, + 375.37, + 536.53, + 383.38 + ] + }, + { + "text": "m", + "bbox_points": [ + 538.47, + 375.37, + 545.47, + 383.38 + ] + } + ] + }, + { + "text": "Long distance Proportion of sample points with Riparian Squeeze Distances of less than 20 m", + "bbox_points": [ + 161.69, + 385.85, + 545.47, + 393.87 + ], + "words": [ + { + "text": "Long", + "bbox_points": [ + 161.69, + 385.85, + 180.34, + 393.87 + ] + }, + { + "text": "distance", + "bbox_points": [ + 182.72, + 385.85, + 212.24, + 393.87 + ] + }, + { + "text": "Proportion", + "bbox_points": [ + 260.28, + 385.85, + 299.38, + 393.87 + ] + }, + { + "text": "of", + "bbox_points": [ + 301.72, + 385.85, + 308.79, + 393.87 + ] + }, + { + "text": "sample", + "bbox_points": [ + 311.19, + 385.85, + 336.58, + 393.87 + ] + }, + { + "text": "points", + "bbox_points": [ + 338.91, + 385.85, + 361.04, + 393.87 + ] + }, + { + "text": "with", + "bbox_points": [ + 363.4, + 385.85, + 379.38, + 393.87 + ] + }, + { + "text": "Riparian", + "bbox_points": [ + 381.77, + 385.85, + 412.8, + 393.87 + ] + }, + { + "text": "Squeeze", + "bbox_points": [ + 415.16, + 385.85, + 444.9, + 393.87 + ] + }, + { + "text": "Distances", + "bbox_points": [ + 447.19, + 385.85, + 482.08, + 393.87 + ] + }, + { + "text": "of", + "bbox_points": [ + 484.44, + 385.85, + 491.51, + 393.87 + ] + }, + { + "text": "less", + "bbox_points": [ + 493.91, + 385.85, + 506.89, + 393.87 + ] + }, + { + "text": "than", + "bbox_points": [ + 509.05, + 385.85, + 525.27, + 393.87 + ] + }, + { + "text": "20", + "bbox_points": [ + 527.7, + 385.85, + 536.53, + 393.87 + ] + }, + { + "text": "m", + "bbox_points": [ + 538.47, + 385.85, + 545.47, + 393.87 + ] + } + ] + }, + { + "text": "2. Human activities POI density Proportion of POIs within 400 m distance from the waterbodies", + "bbox_points": [ + 43.43, + 399.86, + 489.47, + 407.87 + ], + "words": [ + { + "text": "2.", + "bbox_points": [ + 43.43, + 399.86, + 49.84, + 407.87 + ] + }, + { + "text": "Human", + "bbox_points": [ + 52.27, + 399.86, + 79.75, + 407.87 + ] + }, + { + "text": "activities", + "bbox_points": [ + 82.03, + 399.86, + 113.68, + 407.87 + ] + }, + { + "text": "POI", + "bbox_points": [ + 161.69, + 399.86, + 176.41, + 407.87 + ] + }, + { + "text": "density", + "bbox_points": [ + 178.81, + 399.86, + 204.36, + 407.87 + ] + }, + { + "text": "Proportion", + "bbox_points": [ + 260.28, + 399.86, + 299.38, + 407.87 + ] + }, + { + "text": "of", + "bbox_points": [ + 301.72, + 399.86, + 308.79, + 407.87 + ] + }, + { + "text": "POIs", + "bbox_points": [ + 311.19, + 399.86, + 329.24, + 407.87 + ] + }, + { + "text": "within", + "bbox_points": [ + 331.6, + 399.86, + 354.64, + 407.87 + ] + }, + { + "text": "400", + "bbox_points": [ + 357.05, + 399.86, + 370.3, + 407.87 + ] + }, + { + "text": "m", + "bbox_points": [ + 372.25, + 399.86, + 379.25, + 407.87 + ] + }, + { + "text": "distance", + "bbox_points": [ + 381.6, + 399.86, + 411.11, + 407.87 + ] + }, + { + "text": "from", + "bbox_points": [ + 413.52, + 399.86, + 430.54, + 407.87 + ] + }, + { + "text": "the", + "bbox_points": [ + 432.91, + 399.86, + 444.23, + 407.87 + ] + }, + { + "text": "waterbodies", + "bbox_points": [ + 446.46, + 399.86, + 489.47, + 407.87 + ] + } + ] + }, + { + "text": "Population density Proportion of the population within 400 m distance from the waterbodies", + "bbox_points": [ + 161.69, + 410.4, + 523.94, + 418.42 + ], + "words": [ + { + "text": "Population", + "bbox_points": [ + 161.69, + 410.4, + 200.74, + 418.42 + ] + }, + { + "text": "density", + "bbox_points": [ + 203.13, + 410.4, + 228.68, + 418.42 + ] + }, + { + "text": "Proportion", + "bbox_points": [ + 260.28, + 410.4, + 299.38, + 418.42 + ] + }, + { + "text": "of", + "bbox_points": [ + 301.72, + 410.4, + 308.79, + 418.42 + ] + }, + { + "text": "the", + "bbox_points": [ + 311.19, + 410.4, + 322.51, + 418.42 + ] + }, + { + "text": "population", + "bbox_points": [ + 324.91, + 410.4, + 363.68, + 418.42 + ] + }, + { + "text": "within", + "bbox_points": [ + 366.07, + 410.4, + 389.11, + 418.42 + ] + }, + { + "text": "400", + "bbox_points": [ + 391.46, + 410.4, + 404.71, + 418.42 + ] + }, + { + "text": "m", + "bbox_points": [ + 406.71, + 410.4, + 413.71, + 418.42 + ] + }, + { + "text": "distance", + "bbox_points": [ + 416.07, + 410.4, + 445.58, + 418.42 + ] + }, + { + "text": "from", + "bbox_points": [ + 447.99, + 410.4, + 465.0, + 418.42 + ] + }, + { + "text": "the", + "bbox_points": [ + 467.37, + 410.4, + 478.69, + 418.42 + ] + }, + { + "text": "waterbodies", + "bbox_points": [ + 480.92, + 410.4, + 523.94, + 418.42 + ] + } + ] + }, + { + "text": "3. Socioeconomic status Unemployment Unemployment rate: percentage of the unemployed population", + "bbox_points": [ + 43.43, + 424.3, + 485.06, + 432.42 + ], + "words": [ + { + "text": "3.", + "bbox_points": [ + 43.43, + 424.4, + 49.84, + 432.42 + ] + }, + { + "text": "Socioeconomic", + "bbox_points": [ + 52.27, + 424.4, + 107.61, + 432.42 + ] + }, + { + "text": "status", + "bbox_points": [ + 109.98, + 424.4, + 130.16, + 432.42 + ] + }, + { + "text": "Unemployment", + "bbox_points": [ + 161.69, + 424.4, + 217.46, + 432.42 + ] + }, + { + "text": "Unemployment", + "bbox_points": [ + 260.28, + 424.3, + 314.97, + 432.3 + ] + }, + { + "text": "rate:", + "bbox_points": [ + 317.37, + 424.3, + 332.79, + 432.42 + ] + }, + { + "text": "percentage", + "bbox_points": [ + 335.22, + 424.4, + 374.21, + 432.42 + ] + }, + { + "text": "of", + "bbox_points": [ + 376.55, + 424.4, + 383.62, + 432.42 + ] + }, + { + "text": "the", + "bbox_points": [ + 386.02, + 424.4, + 397.34, + 432.42 + ] + }, + { + "text": "unemployed", + "bbox_points": [ + 399.74, + 424.4, + 443.86, + 432.42 + ] + }, + { + "text": "population", + "bbox_points": [ + 446.23, + 424.4, + 485.06, + 432.42 + ] + } + ] + }, + { + "text": "Income level Income level: GDP per capita, inverted ranked for calculation", + "bbox_points": [ + 161.69, + 434.79, + 482.34, + 442.91 + ], + "words": [ + { + "text": "Income", + "bbox_points": [ + 161.69, + 434.89, + 189.17, + 442.91 + ] + }, + { + "text": "level", + "bbox_points": [ + 191.51, + 434.89, + 208.15, + 442.91 + ] + }, + { + "text": "Income", + "bbox_points": [ + 260.28, + 434.79, + 287.08, + 442.79 + ] + }, + { + "text": "level:", + "bbox_points": [ + 289.42, + 434.79, + 308.19, + 442.91 + ] + }, + { + "text": "GDP", + "bbox_points": [ + 310.62, + 434.89, + 328.94, + 442.91 + ] + }, + { + "text": "per", + "bbox_points": [ + 331.26, + 434.89, + 342.99, + 442.91 + ] + }, + { + "text": "capita,", + "bbox_points": [ + 345.2, + 434.89, + 369.0, + 442.91 + ] + }, + { + "text": "inverted", + "bbox_points": [ + 371.39, + 434.89, + 400.76, + 442.91 + ] + }, + { + "text": "ranked", + "bbox_points": [ + 403.09, + 434.89, + 427.99, + 442.91 + ] + }, + { + "text": "for", + "bbox_points": [ + 430.36, + 434.89, + 440.59, + 442.91 + ] + }, + { + "text": "calculation", + "bbox_points": [ + 442.83, + 434.89, + 482.34, + 442.91 + ] + } + ] + }, + { + "text": "Elderly population Percentage of elderly: population over 65 years old", + "bbox_points": [ + 161.69, + 445.28, + 440.98, + 453.4 + ], + "words": [ + { + "text": "Elderly", + "bbox_points": [ + 161.69, + 445.38, + 187.58, + 453.4 + ] + }, + { + "text": "population", + "bbox_points": [ + 189.92, + 445.38, + 228.75, + 453.4 + ] + }, + { + "text": "Percentage", + "bbox_points": [ + 260.28, + 445.28, + 298.44, + 453.28 + ] + }, + { + "text": "of", + "bbox_points": [ + 300.81, + 445.28, + 307.72, + 453.28 + ] + }, + { + "text": "elderly:", + "bbox_points": [ + 310.11, + 445.28, + 335.96, + 453.4 + ] + }, + { + "text": "population", + "bbox_points": [ + 338.34, + 445.38, + 377.17, + 453.4 + ] + }, + { + "text": "over", + "bbox_points": [ + 379.56, + 445.38, + 395.11, + 453.4 + ] + }, + { + "text": "65", + "bbox_points": [ + 397.47, + 445.38, + 406.31, + 453.4 + ] + }, + { + "text": "years", + "bbox_points": [ + 408.7, + 445.38, + 427.15, + 453.4 + ] + }, + { + "text": "old", + "bbox_points": [ + 429.51, + 445.38, + 440.98, + 453.4 + ] + } + ] + }, + { + "text": "Child population Percentage of children: population less than 15 years old", + "bbox_points": [ + 161.69, + 455.77, + 462.41, + 463.88 + ], + "words": [ + { + "text": "Child", + "bbox_points": [ + 161.69, + 455.87, + 181.41, + 463.88 + ] + }, + { + "text": "population", + "bbox_points": [ + 183.8, + 455.87, + 222.63, + 463.88 + ] + }, + { + "text": "Percentage", + "bbox_points": [ + 260.28, + 455.77, + 298.44, + 463.77 + ] + }, + { + "text": "of", + "bbox_points": [ + 300.81, + 455.77, + 307.72, + 463.77 + ] + }, + { + "text": "children:", + 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+ 252.09, + 285.17, + 264.09 + ] + }, + { + "text": "Key", + "bbox_points": [ + 289.13, + 255.12, + 302.94, + 263.14 + ] + }, + { + "text": "particles", + "bbox_points": [ + 305.35, + 255.12, + 335.8, + 263.14 + ] + }, + { + "text": "agglomerated", + "bbox_points": [ + 338.17, + 255.12, + 386.29, + 263.14 + ] + }, + { + "text": "into", + "bbox_points": [ + 388.63, + 255.12, + 402.85, + 263.14 + ] + }, + { + "text": "clusters,", + "bbox_points": [ + 405.24, + 255.12, + 434.36, + 263.14 + ] + }, + { + "text": "with", + "bbox_points": [ + 436.71, + 255.12, + 452.68, + 263.14 + ] + }, + { + "text": "their", + "bbox_points": [ + 455.07, + 255.12, + 471.88, + 263.14 + ] + }, + { + "text": "size", + "bbox_points": [ + 474.24, + 255.12, + 487.89, + 263.14 + ] + }, + { + "text": "expanding", + "bbox_points": [ + 490.28, + 255.12, + 527.37, + 263.14 + ] + }, + { + "text": "as", + "bbox_points": [ + 529.74, + 255.12, + 537.23, + 263.14 + ] + } + ] + }, + { + "text": "^K ¼ 3:28 time progressed", + "bbox_points": [ + 208.63, + 264.82, + 345.78, + 275.33 + ], + "words": [ + { + "text": "^K", + "bbox_points": [ + 208.63, + 264.82, + 214.63, + 275.21 + ] + }, + { + "text": "¼", + "bbox_points": [ + 217.02, + 267.03, + 223.18, + 275.03 + ] + }, + { + "text": "3:28", + "bbox_points": [ + 225.41, + 267.03, + 240.76, + 275.33 + ] + }, + { + "text": "time", + "bbox_points": [ + 289.13, + 265.61, + 305.04, + 273.62 + ] + }, + { + "text": "progressed", + "bbox_points": [ + 307.45, + 265.61, + 345.78, + 273.62 + ] + } + ] + }, + { + "text": "• Fine particles were distributed across the bed surface and sheltered by", + "bbox_points": [ + 281.42, + 273.13, + 540.82, + 285.13 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 281.42, + 273.13, + 285.17, + 285.13 + ] + }, + { + "text": "Fine", + "bbox_points": [ + 289.13, + 276.1, + 304.95, + 284.11 + ] + }, + { + "text": "particles", + "bbox_points": [ + 307.33, + 276.1, + 337.79, + 284.11 + ] + }, + { + "text": "were", + "bbox_points": [ + 340.16, + 276.1, + 357.25, + 284.11 + ] + }, + { + "text": "distributed", + "bbox_points": [ + 359.66, + 276.1, + 397.9, + 284.11 + ] + }, + { + "text": "across", + "bbox_points": [ + 400.25, + 276.1, + 422.48, + 284.11 + ] + }, + { + "text": "the", + "bbox_points": [ + 424.69, + 276.1, + 436.01, + 284.11 + ] + }, + { + "text": "bed", + "bbox_points": [ + 438.41, + 276.1, + 451.4, + 284.11 + ] + }, + { + "text": "surface", + "bbox_points": [ + 453.71, + 276.1, + 479.29, + 284.11 + ] + }, + { + "text": "and", + "bbox_points": [ + 481.66, + 276.1, + 495.14, + 284.11 + ] + }, + { + "text": "sheltered", + "bbox_points": [ + 497.48, + 276.1, + 529.98, + 284.11 + ] + }, + { + "text": "by", + "bbox_points": [ + 532.4, + 276.1, + 540.82, + 284.11 + ] + } + ] + }, + { + "text": "key particles", + "bbox_points": [ + 289.13, + 286.59, + 334.22, + 294.6 + ], + "words": [ + { + "text": "key", + "bbox_points": [ + 289.13, + 286.59, + 301.35, + 294.6 + ] + }, + { + "text": "particles", + "bbox_points": [ + 303.76, + 286.59, + 334.22, + 294.6 + ] + } + ] + }, + { + "text": "• The dominant types of clusters changed from pebbles and linear", + "bbox_points": [ + 281.42, + 294.1, + 520.07, + 306.1 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 281.42, + 294.1, + 285.17, + 306.1 + ] + }, + { + "text": "The", + "bbox_points": [ + 289.13, + 297.07, + 302.88, + 305.09 + ] + }, + { + "text": "dominant", + "bbox_points": [ + 305.29, + 297.07, + 339.9, + 305.09 + ] + }, + { + "text": "types", + "bbox_points": [ + 342.31, + 297.07, + 360.79, + 305.09 + ] + }, + { + "text": "of", + "bbox_points": [ + 363.12, + 297.07, + 370.19, + 305.09 + ] + }, + { + "text": "clusters", + "bbox_points": [ + 372.59, + 297.07, + 399.71, + 305.09 + ] + }, + { + "text": "changed", + "bbox_points": [ + 402.07, + 297.07, + 432.29, + 305.09 + ] + }, + { + "text": "from", + "bbox_points": [ + 434.66, + 297.07, + 451.68, + 305.09 + ] + }, + { + "text": "pebbles", + "bbox_points": [ + 454.05, + 297.07, + 481.12, + 305.09 + ] + }, + { + "text": "and", + "bbox_points": [ + 483.48, + 297.07, + 496.96, + 305.09 + ] + }, + { + "text": "linear", + "bbox_points": [ + 499.35, + 297.07, + 520.07, + 305.09 + ] + } + ] + }, + { + "text": "structures to heaps and rings", + "bbox_points": [ + 289.13, + 307.62, + 392.41, + 315.63 + ], + "words": [ + { + "text": "structures", + "bbox_points": [ + 289.13, + 307.62, + 324.07, + 315.63 + ] + }, + { + "text": "to", + "bbox_points": [ + 326.27, + 307.62, + 333.42, + 315.63 + ] + }, + { + "text": "heaps", + "bbox_points": [ + 335.85, + 307.62, + 356.66, + 315.63 + ] + }, + { + "text": "and", + "bbox_points": [ + 358.98, + 307.62, + 372.46, + 315.63 + ] + }, + { + "text": "rings", + "bbox_points": [ + 374.85, + 307.62, + 392.41, + 315.63 + ] + } + ] + }, + { + "text": "③ t ¼ 33.27 h; • Percentage of key particle areas approached a stable state", + "bbox_points": [ + 43.43, + 372.79, + 495.72, + 384.79 + ], + "words": [ + { + "text": "③", + "bbox_points": [ + 43.43, + 375.48, + 48.84, + 383.48 + ] + }, + { + "text": "t", + "bbox_points": [ + 200.64, + 375.66, + 203.21, + 383.66 + ] + }, + { + "text": "¼", + "bbox_points": [ + 206.36, + 375.48, + 212.52, + 383.48 + ] + }, + { + "text": "33.27", + "bbox_points": [ + 215.66, + 375.76, + 235.32, + 383.78 + ] + }, + { + "text": "h;", + "bbox_points": [ + 237.26, + 375.76, + 244.33, + 383.78 + ] + }, + { + "text": "•", + "bbox_points": [ + 281.42, + 372.79, + 285.17, + 384.79 + ] + }, + { + "text": "Percentage", + "bbox_points": [ + 289.13, + 375.76, + 328.41, + 383.78 + ] + }, + { + "text": "of", + "bbox_points": [ + 330.75, + 375.76, + 337.82, + 383.78 + ] + }, + { + "text": "key", + "bbox_points": [ + 340.21, + 375.76, + 352.44, + 383.78 + ] + }, + { + "text": "particle", + "bbox_points": [ + 354.84, + 375.76, + 381.97, + 383.78 + ] + }, + { + "text": "areas", + "bbox_points": [ + 384.32, + 375.76, + 402.95, + 383.78 + ] + }, + { + "text": "approached", + "bbox_points": [ + 405.35, + 375.76, + 447.51, + 383.78 + ] + }, + { + "text": "a", + "bbox_points": [ + 449.86, + 375.76, + 454.02, + 383.78 + ] + }, + { + "text": "stable", + "bbox_points": [ + 456.38, + 375.76, + 477.03, + 383.78 + ] + }, + { + "text": "state", + "bbox_points": [ + 479.4, + 375.76, + 495.72, + 383.78 + ] + } + ] + }, + { + "text": "Rn ¼ 38.40%; • Medium-sized clusters scattered throughout the bed grew into large", + "bbox_points": [ + 208.63, + 383.28, + 530.95, + 395.28 + ], + "words": [ + { + "text": "Rn", + "bbox_points": [ + 208.63, + 386.15, + 219.12, + 394.15 + ] + }, + { + "text": "¼", + "bbox_points": [ + 220.71, + 385.97, + 226.87, + 393.97 + ] + }, + { + "text": "38.40%;", + "bbox_points": [ + 228.42, + 386.25, + 257.41, + 394.27 + ] + }, + { + "text": "•", + "bbox_points": [ + 281.42, + 383.28, + 285.17, + 395.28 + ] + }, + { + "text": "Medium-sized", + "bbox_points": [ + 289.13, + 386.25, + 339.57, + 394.27 + ] + }, + { + "text": "clusters", + "bbox_points": [ + 341.97, + 386.25, + 369.1, + 394.27 + ] + }, + { + "text": "scattered", + "bbox_points": [ + 371.45, + 386.25, + 403.44, + 394.27 + ] + }, + { + "text": "throughout", + "bbox_points": [ + 405.87, + 386.25, + 445.75, + 394.27 + ] + }, + { + "text": "the", + "bbox_points": [ + 448.1, + 386.25, + 459.42, + 394.27 + ] + }, + { + "text": "bed", + "bbox_points": [ + 461.82, + 386.25, + 474.81, + 394.27 + ] + }, + { + "text": "grew", + "bbox_points": [ + 477.19, + 386.25, + 494.29, + 394.27 + ] + }, + { + "text": "into", + "bbox_points": [ + 496.69, + 386.25, + 510.91, + 394.27 + ] + }, + { + "text": "large", + "bbox_points": [ + 513.3, + 386.25, + 530.95, + 394.27 + ] + } + ] + }, + { + "text": "^K ¼ 5:46 clusters (.15 key particles)", + "bbox_points": [ + 208.63, + 395.95, + 387.02, + 406.46 + ], + "words": [ + { + "text": "^K", + "bbox_points": [ + 208.63, + 395.95, + 214.63, + 406.34 + ] + }, + { + "text": "¼", + "bbox_points": [ + 217.02, + 398.16, + 223.18, + 406.16 + ] + }, + { + "text": "5:46", + "bbox_points": [ + 225.41, + 398.16, + 240.76, + 406.46 + ] + }, + { + "text": "clusters", + "bbox_points": [ + 289.13, + 396.74, + 316.26, + 404.76 + ] + }, + { + "text": "(.15", + "bbox_points": [ + 318.61, + 396.46, + 336.86, + 404.76 + ] + }, + { + "text": "key", + "bbox_points": [ + 339.25, + 396.74, + 351.47, + 404.76 + ] + }, + { + "text": "particles)", + "bbox_points": [ + 353.82, + 396.74, + 387.02, + 404.76 + ] + } + ] + }, + { + "text": "• Large clusters were composed of multiple sub-clusters, each exhibiting", + "bbox_points": [ + 281.42, + 404.26, + 541.96, + 416.26 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 281.42, + 404.26, + 285.17, + 416.26 + ] + }, + { + "text": "Large", + "bbox_points": [ + 289.13, + 407.28, + 309.78, + 415.3 + ] + }, + { + "text": "clusters", + "bbox_points": [ + 312.15, + 407.28, + 339.27, + 415.3 + ] + }, + { + "text": "were", + "bbox_points": [ + 341.63, + 407.28, + 358.78, + 415.3 + ] + }, + { + "text": "composed", + "bbox_points": [ + 361.13, + 407.28, + 397.77, + 415.3 + ] + }, + { + "text": "of", + "bbox_points": [ + 400.08, + 407.28, + 407.15, + 415.3 + ] + }, + { + "text": "multiple", + "bbox_points": [ + 409.55, + 407.28, + 439.26, + 415.3 + ] + }, + { + "text": "sub-clusters,", + "bbox_points": [ + 441.64, + 407.28, + 485.1, + 415.3 + ] + }, + { + "text": "each", + "bbox_points": [ + 487.45, + 407.28, + 504.18, + 415.3 + ] + }, + { + "text": "exhibiting", + "bbox_points": [ + 506.55, + 407.28, + 541.96, + 415.3 + ] + } + ] + }, + { + "text": "various shapes", + "bbox_points": [ + 289.13, + 417.77, + 341.96, + 425.79 + ], + "words": [ + { + "text": "various", + "bbox_points": [ + 289.13, + 417.77, + 315.42, + 425.79 + ] + }, + { + "text": "shapes", + "bbox_points": [ + 317.82, + 417.77, + 341.96, + 425.79 + ] + } + ] + }, + { + "text": "④ t ¼ 47.73 h; • The percentage of key particle areas exhibited minimal change as time", + "bbox_points": [ + 43.43, + 505.74, + 542.3, + 517.74 + ], + "words": [ + { + "text": "④", + "bbox_points": [ + 43.43, + 508.43, + 48.84, + 516.43 + ] + }, + { + "text": "t", + "bbox_points": [ + 200.64, + 508.61, + 203.21, + 516.61 + ] + }, + { + "text": "¼", + "bbox_points": [ + 204.83, + 508.43, + 210.99, + 516.43 + ] + }, + { + "text": "47.73", + "bbox_points": [ + 212.54, + 508.71, + 232.21, + 516.72 + ] + }, + { + "text": "h;", + "bbox_points": [ + 234.14, + 508.71, + 241.21, + 516.72 + ] + }, + { + "text": "•", + "bbox_points": [ + 281.42, + 505.74, + 285.17, + 517.74 + ] + }, + { + "text": "The", + "bbox_points": [ + 289.13, + 508.71, + 302.88, + 516.72 + ] + }, + { + "text": "percentage", + "bbox_points": [ + 305.29, + 508.71, + 344.28, + 516.72 + ] + }, + { + "text": "of", + "bbox_points": [ + 346.62, + 508.71, + 353.69, + 516.72 + ] + }, + { + "text": "key", + "bbox_points": [ + 356.09, + 508.71, + 368.31, + 516.72 + ] + }, + { + "text": "particle", + "bbox_points": [ + 370.72, + 508.71, + 397.84, + 516.72 + ] + }, + { + "text": "areas", + "bbox_points": [ + 400.2, + 508.71, + 418.83, + 516.72 + ] + }, + { + "text": "exhibited", + "bbox_points": [ + 421.17, + 508.71, + 454.15, + 516.72 + ] + }, + { + "text": "minimal", + "bbox_points": [ + 456.49, + 508.71, + 486.38, + 516.72 + ] + }, + { + "text": "change", + "bbox_points": [ + 488.69, + 508.71, + 514.34, + 516.72 + ] + }, + { + "text": "as", + "bbox_points": [ + 516.7, + 508.71, + 524.19, + 516.72 + ] + }, + { + "text": "time", + "bbox_points": [ + 526.39, + 508.71, + 542.3, + 516.72 + ] + } + ] + }, + { + "text": "Rn ¼ 45.75%; progressed", + "bbox_points": [ + 208.63, + 518.92, + 327.47, + 527.21 + ], + "words": [ + { + "text": "Rn", + "bbox_points": [ + 208.63, + 519.09, + 219.12, + 527.09 + ] + }, + { + "text": "¼", + "bbox_points": [ + 220.71, + 518.92, + 226.87, + 526.92 + ] + }, + { + "text": "45.75%;", + "bbox_points": [ + 228.42, + 519.2, + 257.41, + 527.21 + ] + }, + { + "text": "progressed", + "bbox_points": [ + 289.13, + 519.2, + 327.47, + 527.21 + ] + } + ] + }, + { + "text": "^K ¼ 5:12 • The bed surface became increasingly covered by complex structures of", + "bbox_points": [ + 208.63, + 526.71, + 541.97, + 539.4 + ], + "words": [ + { + "text": "^K", + "bbox_points": [ + 208.63, + 528.95, + 214.63, + 539.28 + ] + }, + { + "text": "¼", + "bbox_points": [ + 217.02, + 531.1, + 223.18, + 539.1 + ] + }, + { + "text": "5:12", + "bbox_points": [ + 225.41, + 531.1, + 240.76, + 539.4 + ] + }, + { + "text": "•", + "bbox_points": [ + 281.42, + 526.71, + 285.17, + 538.71 + ] + }, + { + "text": "The", + "bbox_points": [ + 289.13, + 529.74, + 302.88, + 537.76 + ] + }, + { + "text": "bed", + "bbox_points": [ + 305.29, + 529.74, + 318.28, + 537.76 + ] + }, + { + "text": "surface", + "bbox_points": [ + 320.6, + 529.74, + 346.17, + 537.76 + ] + }, + { + "text": "became", + "bbox_points": [ + 348.55, + 529.74, + 376.12, + 537.76 + ] + }, + { + "text": "increasingly", + "bbox_points": [ + 378.43, + 529.74, + 421.37, + 537.76 + ] + }, + { + "text": "covered", + "bbox_points": [ + 423.67, + 529.74, + 451.63, + 537.76 + ] + }, + { + "text": "by", + "bbox_points": [ + 454.0, + 529.74, + 462.41, + 537.76 + ] + }, + { + "text": "complex", + "bbox_points": [ + 464.77, + 529.74, + 495.18, + 537.76 + ] + }, + { + "text": "structures", + "bbox_points": [ + 497.59, + 529.74, + 532.48, + 537.76 + ] + }, + { + "text": "of", + "bbox_points": [ + 534.9, + 529.74, + 541.97, + 537.76 + ] + } + ] + }, + { + "text": "clusters in various shapes and sizes", + "bbox_points": [ + 289.13, + 540.23, + 416.1, + 548.25 + ], + "words": [ + { + "text": "clusters", + "bbox_points": [ + 289.13, + 540.23, + 316.26, + 548.25 + ] + }, + { + "text": "in", + "bbox_points": [ + 318.61, + 540.23, + 325.69, + 548.25 + ] + }, + { + "text": "various", + "bbox_points": [ + 328.08, + 540.23, + 354.37, + 548.25 + ] + }, + { + "text": "shapes", + "bbox_points": [ + 356.77, + 540.23, + 380.9, + 548.25 + ] + }, + { + "text": "and", + "bbox_points": [ + 383.24, + 540.23, + 396.72, + 548.25 + ] + }, + { + "text": "sizes", + "bbox_points": [ + 399.12, + 540.23, + 416.1, + 548.25 + ] + } + ] + }, + { + "text": "• Flow belts, marked by blue dashed lines, developed between clusters,", + "bbox_points": [ + 281.42, + 547.75, + 537.55, + 559.75 + ], + "words": [ + { + "text": "•", + "bbox_points": [ + 281.42, + 547.75, + 285.17, + 559.75 + ] + }, + { + "text": "Flow", + "bbox_points": [ + 289.13, + 550.72, + 306.97, + 558.73 + ] + }, + { + "text": "belts,", + "bbox_points": [ + 309.32, + 550.72, + 327.96, + 558.73 + ] + }, + { + "text": "marked", + "bbox_points": [ + 330.35, + 550.72, + 357.63, + 558.73 + ] + }, + { + "text": "by", + "bbox_points": [ + 360.0, + 550.72, + 368.42, + 558.73 + ] + }, + { + "text": "blue", + "bbox_points": [ + 370.77, + 550.72, + 386.09, + 558.73 + ] + }, + { + "text": "dashed", + "bbox_points": [ + 388.46, + 550.72, + 413.84, + 558.73 + ] + }, + { + "text": "lines,", + "bbox_points": [ + 416.18, + 550.72, + 434.91, + 558.73 + ] + }, + { + "text": "developed", + "bbox_points": [ + 437.27, + 550.72, + 473.91, + 558.73 + ] + }, + { + "text": "between", + "bbox_points": [ + 476.22, + 550.72, + 506.09, + 558.73 + ] + }, + { + "text": "clusters,", + "bbox_points": [ + 508.48, + 550.72, + 537.55, + 558.73 + ] + } + ] + }, + { + "text": "along the flow direction", + "bbox_points": [ + 289.13, + 560.93, + 374.97, + 569.22 + ], + "words": [ + { + "text": "along", + "bbox_points": [ + 289.13, + 561.21, + 308.94, + 569.22 + ] + }, + { + "text": "the", + "bbox_points": [ + 311.3, + 561.21, + 322.62, + 569.22 + ] + }, + { + "text": "flow", + "bbox_points": [ + 325.02, + 560.93, + 340.48, + 569.22 + ] + }, + { + "text": "direction", + "bbox_points": [ + 342.88, + 561.21, + 374.97, + 569.22 + ] + } + ] + } + ], + "detection_error": null +} diff --git a/Media/2025/Zhu et al. - 2025 - Experiment on streambed armoring with clusters and its influence on bed-load dynamics/table_04.txt b/Media/2025/Zhu et al. - 2025 - 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The sampling points were representative of the lake’s condition. I, inlet; II, plant surface covered area; III, surface-free area; IV, outlet channel of the lake; WS, West Sumatra Province, Indonesia; SI, Sumatra Island. diff --git a/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_02.jpg b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_02.jpg new file mode 100644 index 0000000000000000000000000000000000000000..e8ed331418e3e045ef8512f4f36b9d0dbd0cb508 --- /dev/null +++ b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_02.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:771ddd9895b4e924dc53b04ec1e6b63a2e00c2bf641c080fa775936c98ed6387 +size 37840 diff --git a/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_02.txt b/Media/2025/Zulkarnaini et al. - 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2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_04.jpg b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_04.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f847673f11a2faaaeb818d99f903af4c82e1f514 --- /dev/null +++ b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_04.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:2450ea3e99e8a3e6e46091ffe9ea187ffad7ef1baa8fed043258a2cfcf280655 +size 123287 diff --git a/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_04.txt b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_04.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f53821d837d55cd2c42382408941be69f5d1aa9 --- /dev/null +++ b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_04.txt @@ -0,0 +1 @@ +Performance of nitrogen removal during the cultivation in Reactor 1 (a) and Reactor 2 (b). diff --git a/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_05.jpg b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_05.jpg new file mode 100644 index 0000000000000000000000000000000000000000..860ad5f0c8ae2d7eea63c3eaece745b6f2c65c2d --- /dev/null +++ b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_05.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a6c4bd2afb31694a8a717a053ab91c61eda7a0dadc810db244f73d68e5d168f0 +size 140706 diff --git a/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_05.txt b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_05.txt new file mode 100644 index 0000000000000000000000000000000000000000..4551816f1cd7d4fd275ed301ebb74d7ebb42ad89 --- /dev/null +++ b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_05.txt @@ -0,0 +1 @@ +The change of biomass’s color in FtBR: (a1) Reactor 1 at day 0, (a2) Reactor 1 at day 106, (a3) Reactor 1 at day 180, (a4) biofilm on Reactor 1 wall; (b1) Reactor 2 at day 0, (b2) Reactor 2 at day 106, (b3) Reactor 2 at day 180, and (b4) biofilm on Reactor 2 wall. diff --git a/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_06.jpg b/Media/2025/Zulkarnaini et al. - 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2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_06.txt @@ -0,0 +1 @@ +Microbial community abundance at the phylum level. The total abundance lower than 1% classified as other. diff --git a/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_07.jpg b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_07.jpg new file mode 100644 index 0000000000000000000000000000000000000000..f99f7d48c25937d1a843acaf15d439feb909b4ee --- /dev/null +++ b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_07.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:f1340ca156baeb6e249b31d15a4a03fad13cb0b8db75923a94ecd2f4df043fba +size 159590 diff --git a/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_07.txt b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_07.txt new file mode 100644 index 0000000000000000000000000000000000000000..92ce661b18be60c7a3b63e4f2d8c19d642e09f15 --- /dev/null +++ b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_07.txt @@ -0,0 +1 @@ +Microbial community abundance at the genus or lowest classifiable level taken from Reactor 1 (blue) and Reactor 2 (orange). The relative abundance of bacteria below 1% is classified as others. diff --git a/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_08.jpg b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_08.jpg new file mode 100644 index 0000000000000000000000000000000000000000..929b4ea866b03dc31a5143aabd2afd03c685f561 --- /dev/null +++ b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_08.jpg @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1f4dbd0cba9c80a9a9a1df0c89395f6be55e107fe74f819461809d145fd44035 +size 101024 diff --git a/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_08.txt b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_08.txt new file mode 100644 index 0000000000000000000000000000000000000000..3792814e4c991743666633e8afc6ca3b3d1c98ed --- /dev/null +++ b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/figure_08.txt @@ -0,0 +1 @@ +Phylogenetic tree constructed by Neighbor-Joining (NJ) methods using ARB software based on 16S rRNA gene sequences of known anammox bacteria. The scale represents the number of nucleotide changes per sequence position. 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0000000000000000000000000000000000000000..ed90f69675f5ddec23ba0bb9853bd1bdc67daa29 --- /dev/null +++ b/Media/2025/Zulkarnaini et al. - 2025 - Cultivation of anammox bacteria from a tropical lake in Indonesia using a novel filter bioreactor to/table_02.txt @@ -0,0 +1 @@ +Characteristics of the mud samples collected from Lake Koto Baru diff --git "a/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_01.jpg" "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_01.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..3121ebd89527fffd3679040c8647599e0c33d7eb --- /dev/null +++ "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_01.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:3fbd1d1e74404eedd9f60f9c540e3708a06c04247016072db0ec50674c2b0d63 +size 169000 diff --git "a/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_01.txt" "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_01.txt" new file mode 100644 index 0000000000000000000000000000000000000000..acf0a98775470d9a9fdffd6c1751d85e3d343c0b --- /dev/null +++ "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_01.txt" @@ -0,0 +1 @@ +Geographic location and topography of the Sakarya Basin in Türkiye, represented by a digital elevation map with subbasin boundaries. diff --git "a/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_02.jpg" "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_02.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..78a29f441b00c8cc5907a6d68f3f08c54c3895fe --- /dev/null +++ "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_02.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:122b3d2c3faa52ceff4c24975361ea670d60425bcc10bf0ca9f205c350ebd288 +size 86256 diff --git "a/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_02.txt" "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_02.txt" new file mode 100644 index 0000000000000000000000000000000000000000..668023fe5945b0aff25dee19e40e616679cdde86 --- /dev/null +++ "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_02.txt" @@ -0,0 +1 @@ +Flow diagram of the methodology to obtain fine-resolution climate data in the Sakarya Basin. diff --git "a/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_03.jpg" "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_03.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..716d0fd00709fb7e04537eda872bf52bca3237fd --- /dev/null +++ "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_03.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:1e782bab7168016dcc3915a3e861032042577aefec2b12d8df44502fb26bc89e +size 49345 diff --git "a/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_03.txt" "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_03.txt" new file mode 100644 index 0000000000000000000000000000000000000000..73e987d3718bf289bc6c55f1df1b61d99b07da90 --- /dev/null +++ "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_03.txt" @@ -0,0 +1 @@ +Overview of the methodology for assessing vulnerabilities across nexus sectors. diff --git "a/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_04.jpg" "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_04.jpg" new file mode 100644 index 0000000000000000000000000000000000000000..b61a6eef9066489d2494d1fcc74b3c5de1e604c5 --- /dev/null +++ "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_04.jpg" @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4acf1e23ba1709f65c67d21ba8cb7d5a5cff7a7e8ed3cf4a4dbbed8c7f875e38 +size 183428 diff --git "a/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_04.txt" "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_04.txt" new file mode 100644 index 0000000000000000000000000000000000000000..7188ac88d7f87830bd2ae1bb2d9fc89a332fd395 --- /dev/null +++ "b/Media/2025/\303\226zcan et al. 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water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_06.txt" "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..ef7ff170a8a5ecfd4422d2e0a49eb3f9679c7ee4 --- /dev/null +++ "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/figure_06.txt" @@ -0,0 +1 @@ +Annual total basin-average precipitation over the seven subbasins: Upper Sakarya, Porsuk, Ankara, Kirmir, Middle Sakarya, Göksu, Lower Sakarya. 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"bbox_points": [ + 352.69, + 233.86, + 377.74, + 241.88 + ] + }, + { + "text": "energy", + "bbox_points": [ + 380.07, + 233.86, + 403.98, + 241.88 + ] + }, + { + "text": "production", + "bbox_points": [ + 406.32, + 233.86, + 445.81, + 241.88 + ] + }, + { + "text": "to", + "bbox_points": [ + 448.16, + 233.86, + 455.31, + 241.88 + ] + }, + { + "text": "water", + "bbox_points": [ + 457.57, + 233.86, + 477.46, + 241.88 + ] + }, + { + "text": "availability.", + "bbox_points": [ + 479.63, + 233.86, + 520.52, + 241.88 + ] + } + ] + }, + { + "text": "Annual average thermal electricity Annual average thermal electricity generation (GWh) (Enerji Atlası (2023)) reflects energy output", + "bbox_points": [ + 64.01, + 247.58, + 565.44, + 255.88 + ], + "words": [ + { + "text": "Annual", + "bbox_points": [ + 64.01, + 247.86, + 90.56, + 255.88 + ] + }, + { + "text": "average", + "bbox_points": [ + 92.92, + 247.86, + 119.99, + 255.88 + ] + }, + { + "text": "thermal", + "bbox_points": [ + 122.4, + 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"text": "used", + "bbox_points": [ + 444.24, + 706.0, + 457.29, + 712.0 + ] + } + ] + } + ], + "detection_error": null +} diff --git "a/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/table_06.txt" "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/table_06.txt" new file mode 100644 index 0000000000000000000000000000000000000000..fc70d9cab2db6a85bb30d1126134c34ac5cfec32 --- /dev/null +++ "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/table_06.txt" @@ -0,0 +1 @@ +Socio-economic indicator values and 21st-century climate trends for study subbasins diff --git "a/Media/2025/\303\226zcan et al. - 2025 - Assessment of 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null, + "row_count": 0, + "column_count": null, + "cells": null, + "text_rows": [], + "detection_error": null +} diff --git "a/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/table_07.txt" "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/table_07.txt" new file mode 100644 index 0000000000000000000000000000000000000000..fac25b80c4ac1c711368d7caa0056af43f94057c --- /dev/null +++ "b/Media/2025/\303\226zcan et al. - 2025 - Assessment of climate change for predicting water\342\200\223energy\342\200\223food\342\200\223ecosystem nexus vulnerability in a sem/table_07.txt" @@ -0,0 +1 @@ +Foresight on WEFE nexus sector vulnerabilities based on future climatic changes in seven study subbasins