Delineating Groundwater Recharge Potential through Remote Sensing and Geographical Information Systems

Owing to the extensive global dependency on groundwater and associated increasing water demand, level is declining rapidly. In case of Islamabad, Pakistan, has lowered five times over past years due pumping by various departments residents meet local requirements. To address this, reservoirs sources need be delineated, potential recharge zones are highlighted assess potential. Therefore, current study utilizes an integrated approach based remote sensing (RS) GIS using influence factor (IF) technique delineate in Pakistan. Soil map Landsat 8TM satellite data, digital elevation model (ASTER DEM), geological were used for preparation thematic maps 15 key contributing factors considered this study. generate a combined map, rate weightage values assigned each representing their mutual capabilities. analyze final different assessment analogies study: poor, low, medium, high, best. The Islamabad classifies 15% (136.8 km2) region as “best” zone extracting groundwater. Furthermore, poor ranks 21%, 24%, 27%, 13% with respective areas 191.52 km2, 218.88 246.24 118.56 km2. Overall, research outlines best least favorable regarding potentials. This can help authorities devise mitigation strategies preserve natural terrain regions aligned aims interior ministry Pakistan constructing small ponds existing streams installing recharging wells maintain cities. Other countries expand upon adapt