Comparative Simulation of GIS-Based Rainwater Management Solutions

Sumar Farooq, Khalid Mahmood () and Fiza Faizi ()
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Sumar Farooq: University of the Punjab
Khalid Mahmood: University of the Punjab
Fiza Faizi: University of the Punjab, 54590

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2022, vol. 36, issue 9, No 10, 3049-3065

Abstract: Abstract Rain Water Harvesting (RWH) as a solution for sustainable rainwater management is the focus of this research. To locate the potential sites for RWH, multi-criteria analysis following analytical hierarchy process using land-use/landcover, slope, drainage density, and runoff depth has been performed. By introducing continuous soil moisture accounting procedure in the globally used SCS-CN method, discrepancies in computed runoff values have been assessed. To appraise the usefulness of revised Soil Moisture Accounting (SMA) -enhanced SCS-CN models, a number of modifications have been compared. The models’ performance has been evaluated using R2, Root Mean Square Error (RMSE), Nash Sutcliffe Efficiency (NSE), Percent BIAS (PBIAS) statistical indicators, and Rank Grading System (RGS) and the best has been selected to calculate the runoff depth for RWH potential zones. The resultant suitability map classifies Gurriala catchment into three suitability zones. 33.8% of the total area has been found as least suitable, comprised mainly of forest, residential land, and water bodies, while 46.8% and 19.4% of the area is recognized as moderately suitable and high suitable respectively. Selected suitable sites have been further classified into suitability zones for enhanced RWH structures and runoff volume contributed by each RWH structure has been computed. The total runoff potential of the area is 22.47 MCM that is enough to fulfill the water demands of suburban areas as a most inexpensive solution.

Keywords: Water resources management; Rainwater harvesting; SCS-CN modifications; HEC-GeoHMS; Satellite remote sensing; Multi-criteria analysis (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s11269-022-03185-2

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