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A peer-reviewed article of this preprint also exists.
This version is not peer-reviewed
Months | Water Harvested in Urban Catchment m3 (Whp) | Water Supply from WWTP m3 (Ws) | Potential Reduced Water Use m3 (Ws-Whp) |
January | 49,848 | 333,498 | 283,650 |
February | 56,194 | 317,338 | 261,144 |
March | 24,116 | 245,590 | 221,474 |
April | 130,734 | 420,263 | 289,529 |
May | 52,386 | 306,882 | 254,496 |
June | 84,695 | 316,109 | 231,414 |
July | 48,924 | 262,998 | 214,074 |
August | 36,001 | 226,786 | 190,785 |
September | 116,657 | 344,760 | 228,103 |
October | 107,195 | 366,121 | 258,926 |
November | 77,771 | 340,372 | 262,601 |
December | 79,618 | 324,506 | 244,888 |
Total | 864,139 | 3,831,806 | 2,967,667 |
Roof | RC | Reference | |
Slopping Roof | Concrete/asphalt | 0.9 | (Lancaster, 2006) |
Metal | 0.95 | (Lancaster, 2006) | |
0.81-0.84 | (Liaw & Tsai, 2004) | ||
Aluminium | 0.7 | (Ward et al., 2010) | |
Flat Roof | Bituminous | 0.7 | (Ward et al., 2010) |
Gravel | 0.8-0.85 | (Lancaster, 2006) | |
Level Cement | 0.81 | (Liaw and Tsai, 2004) |
Crop Name | Area (m2) |
Potential Irrigation Water Requirement (mm) | Total Water Requirement (m3) |
Maize | 3,750,000 | 189.00 | 708,750 |
Winter Wheat | 8,750,000 | 223.3 | 195,3875 |
Wine Grapes | 4,700,000 | 60.92 | 286,324 |
Total | 2948949 |
References | Datasets & Time Frame | Methodological Philosophy | Research Methods |
Findings | Study Regions |
[30] | Wastewater treatment plant nominal flow rate, soil textures and depth, Land use, DEM; TimePeriod:2009/2010 (Landsat TM imagery), 2000 (Google Earth data and Land use map) |
Analytical Hierarchical Process for Geospatial integration | Study area characterization by classification, standardizing the sub criteria, Sensitivity analysis and cross validation | 31% of the aquifer is fitting for irrigation, GIS sensitivity ranking cases 1-5. | Tunisia |
[24] | Agro Climatic Data, Crop data showing and harvesting; Time Period: 2017-2021 (Agroclimatic data) |
Irrigation water requirement (IWR) and irrigation scheduling for cultivated crops | CROPWAT Model for calculation of Eto and effective rainfalls, calculation of evapotranspiration | IWR: 3108.0 mm-Sugarcane, 1768.5 mm- banana, 1655.7 mm- cotton, 402.5 mm - wheat | Pakistan |
[12] | Ago-Ecological datasets, Crop data; Time Periods: Not defined |
Total water requirement in various agro-ecological zone in order to estimate ground water balance | CROPWAT Model 8.0 used to calculation of Evapotranspiration | Net irrigation requirement: Peddy: 442 to 1483 mm; Water demand: 1146 Mm3 | India |
[15] | CROPWAT stations dataset and crops data; Time Period: Not defined |
Irrigation water Requirement estimation for spatial modeling | CROPWAT Model for crop water requirement and Water qualitative measurements | IWR: 763 mm/year-Citrus, 722mm/year-Almonds, 1083 mm/year-Date palm, 591 mm/year-Grapes. | Palestinian |
[14] | Meteorological Data; Time Period: 1961 to 2001 |
Spatial distribution of crop water requirement | CROPWAT model for irrigation water requirement and irrigation scheduling, DEM based methods | Spatial Distribution of ETc of spring maize 324.57-500.55 mm; Water deficit Ratio upto 40% | China |
[20] | Daily Rainfall, 2D & 3D model of Building; Time Period: January 2014 – December 2018 (Daily Rainfall) |
Rainwater harvesting assessment through Building Information Modeling (BIM) | Calculation of potential roofing catchment size, rainwater harvesting potential and fixing of tank capacity | Collected harvested rainfall water volume: 8,190 L/yr to 103,300 L/yr | Pakistan |
[21] | CityGML building Models; Time Period: Not defined |
Urban water demand assessment | Implementation of water analysis workflow of SimStadt, log-log model for Water demand assessment | Industrial water demand: 397 to 579 m3 and Predicted precipitation: 248 mm by 2030 | Germany |
Our Proposed Methodology | Climate Dataset, Waster water treatment Plant water supply volume, ALKIS Maps Time Period: 1991- 2021 (Temperature, Humidity, Rainfall),1991-2019(Sunshine Hours), 2022 (Wind speed), 2021-2022 (WWTP supply), 2021 (ALKIS maps) |
Agriculture water demand assessment by using the potentiality of urban rainwater harvesting and wastewater treatment plant supply | Employment of CROPWAT Model for IWR, Zonal severity analysis, Urban roof catchment area measurement, economic value. | IWR estimation: 189 mm-maize, 22 3mm- winter wheat, 60.92 mm for wine grapes, Spatial Volume of IWR 2948949 m3/yearly. Sensitivity phases 0-5. Rainfall water harvested volume: 864139.075 m3/yearly | Germany |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
Submitted:
29 November 2023
Posted:
30 November 2023
You are already at the latest version
A peer-reviewed article of this preprint also exists.
This version is not peer-reviewed
Submitted:
29 November 2023
Posted:
30 November 2023
You are already at the latest version
Months | Water Harvested in Urban Catchment m3 (Whp) | Water Supply from WWTP m3 (Ws) | Potential Reduced Water Use m3 (Ws-Whp) |
January | 49,848 | 333,498 | 283,650 |
February | 56,194 | 317,338 | 261,144 |
March | 24,116 | 245,590 | 221,474 |
April | 130,734 | 420,263 | 289,529 |
May | 52,386 | 306,882 | 254,496 |
June | 84,695 | 316,109 | 231,414 |
July | 48,924 | 262,998 | 214,074 |
August | 36,001 | 226,786 | 190,785 |
September | 116,657 | 344,760 | 228,103 |
October | 107,195 | 366,121 | 258,926 |
November | 77,771 | 340,372 | 262,601 |
December | 79,618 | 324,506 | 244,888 |
Total | 864,139 | 3,831,806 | 2,967,667 |
Roof | RC | Reference | |
Slopping Roof | Concrete/asphalt | 0.9 | (Lancaster, 2006) |
Metal | 0.95 | (Lancaster, 2006) | |
0.81-0.84 | (Liaw & Tsai, 2004) | ||
Aluminium | 0.7 | (Ward et al., 2010) | |
Flat Roof | Bituminous | 0.7 | (Ward et al., 2010) |
Gravel | 0.8-0.85 | (Lancaster, 2006) | |
Level Cement | 0.81 | (Liaw and Tsai, 2004) |
Crop Name | Area (m2) |
Potential Irrigation Water Requirement (mm) | Total Water Requirement (m3) |
Maize | 3,750,000 | 189.00 | 708,750 |
Winter Wheat | 8,750,000 | 223.3 | 195,3875 |
Wine Grapes | 4,700,000 | 60.92 | 286,324 |
Total | 2948949 |
References | Datasets & Time Frame | Methodological Philosophy | Research Methods |
Findings | Study Regions |
[30] | Wastewater treatment plant nominal flow rate, soil textures and depth, Land use, DEM; TimePeriod:2009/2010 (Landsat TM imagery), 2000 (Google Earth data and Land use map) |
Analytical Hierarchical Process for Geospatial integration | Study area characterization by classification, standardizing the sub criteria, Sensitivity analysis and cross validation | 31% of the aquifer is fitting for irrigation, GIS sensitivity ranking cases 1-5. | Tunisia |
[24] | Agro Climatic Data, Crop data showing and harvesting; Time Period: 2017-2021 (Agroclimatic data) |
Irrigation water requirement (IWR) and irrigation scheduling for cultivated crops | CROPWAT Model for calculation of Eto and effective rainfalls, calculation of evapotranspiration | IWR: 3108.0 mm-Sugarcane, 1768.5 mm- banana, 1655.7 mm- cotton, 402.5 mm - wheat | Pakistan |
[12] | Ago-Ecological datasets, Crop data; Time Periods: Not defined |
Total water requirement in various agro-ecological zone in order to estimate ground water balance | CROPWAT Model 8.0 used to calculation of Evapotranspiration | Net irrigation requirement: Peddy: 442 to 1483 mm; Water demand: 1146 Mm3 | India |
[15] | CROPWAT stations dataset and crops data; Time Period: Not defined |
Irrigation water Requirement estimation for spatial modeling | CROPWAT Model for crop water requirement and Water qualitative measurements | IWR: 763 mm/year-Citrus, 722mm/year-Almonds, 1083 mm/year-Date palm, 591 mm/year-Grapes. | Palestinian |
[14] | Meteorological Data; Time Period: 1961 to 2001 |
Spatial distribution of crop water requirement | CROPWAT model for irrigation water requirement and irrigation scheduling, DEM based methods | Spatial Distribution of ETc of spring maize 324.57-500.55 mm; Water deficit Ratio upto 40% | China |
[20] | Daily Rainfall, 2D & 3D model of Building; Time Period: January 2014 – December 2018 (Daily Rainfall) |
Rainwater harvesting assessment through Building Information Modeling (BIM) | Calculation of potential roofing catchment size, rainwater harvesting potential and fixing of tank capacity | Collected harvested rainfall water volume: 8,190 L/yr to 103,300 L/yr | Pakistan |
[21] | CityGML building Models; Time Period: Not defined |
Urban water demand assessment | Implementation of water analysis workflow of SimStadt, log-log model for Water demand assessment | Industrial water demand: 397 to 579 m3 and Predicted precipitation: 248 mm by 2030 | Germany |
Our Proposed Methodology | Climate Dataset, Waster water treatment Plant water supply volume, ALKIS Maps Time Period: 1991- 2021 (Temperature, Humidity, Rainfall),1991-2019(Sunshine Hours), 2022 (Wind speed), 2021-2022 (WWTP supply), 2021 (ALKIS maps) |
Agriculture water demand assessment by using the potentiality of urban rainwater harvesting and wastewater treatment plant supply | Employment of CROPWAT Model for IWR, Zonal severity analysis, Urban roof catchment area measurement, economic value. | IWR estimation: 189 mm-maize, 22 3mm- winter wheat, 60.92 mm for wine grapes, Spatial Volume of IWR 2948949 m3/yearly. Sensitivity phases 0-5. Rainfall water harvested volume: 864139.075 m3/yearly | Germany |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
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