GIS-Based Decision Support System for Identifying Potential Sites for Rainwater Harvesting
Identification of potential sites for RWH is an important step towards maximizing water availability and land productivity in the semi-arid areas. However, selection of appropriate sites for different RWH technologies on a large scale presents a great challenge, since the necessary biophysical data and infrastructure are often lacking. This paper presents a Geographic Information System (GIS)-based Decision Support System (DSS) that uses Remote Sensing (RS), limited field survey and GIS to identify potential sites for RWH technologies. The input into the DSS include maps of rainfall, slope, soil texture, soil depth, drainage and land use/cover and the outputs are the maps showing potential sites of water storage systems (ndiva), stone terraces, bench terraces and borders.