GIS methods for sustainable stormwater harvesting and storage using remote sensing for land cover data - location assessment

摘要: Identification of potential sites for rainwater harvesting (RWH) is an important step toward maximizing water availability and land productivity in arid semiarid regions. Characterised as a "water scarce" country, Egypt has limited fresh supplies, expected to suffer from stress by the year 2030. Therefore, it develop any means available supply maintain human habitability sustainable manner. Practiced or simply indispensable many countries around world, promotes efficient manner exploiting resources. In present study, suitable areas stormwater storage were identified using remote sensing cover data - location assessment linked decision support system (DSS). The DSS took into consideration combination thematic layers such rainfall surplus, slope, runoff coefficient (PRC), cover/use, soil texture. Taking account five layers, spatial extents RWH suitability analytical hierarchy process (AHP). model generated map with categories suitability: excellent, good, moderate, poor unsuitable. distribution these area investigated was that 4.8% (47910 km(2)) 14% (139739 study classified excellent good terms RWH, respectively, while 30.1% (300439 km(2)), 47.6% (474116 3.5% (34935 unsuitable poor, respectively. Most had slopes between 2% 8% intensively cultivated areas. major type loam, ranged 100 200 mm yr(-1). use number recommended ensure successful implementation systems.