Mapping Groundwater Potential Zones Using a Knowledge-Driven Approach and GIS Analysis

Despite the Sahara being one of most arid regions on Earth, it has experienced rainfall conditions in past and could hold plentiful groundwater resources. Thus, is precious water resources this region, which suffers from shortage due to limited caused by climatic conditions. This article will assess knowledge-driven techniques employed develop a model integrate multicriteria derived geologic, geomorphic, structural, seismic, hydrologic, remotely sensed data. was tested defunct Kom Ombo area Egypt’s Nile river basin eastern Sahara, covers ~28,200 km2, reveal promising areas To optimize output map, we updated adding automated depression resulting fill-difference approach seismic activity layers combined with other evidential maps, including slope, topography, geology, drainage density, lineament soil characteristics, rainfall, morphometric after assigning weight for each using Geographic Information System (GIS)-based approach. The paleochannels characteristics were visualized Advanced Land Observing Satellite (ALOS)/Phased Array type L-band Synthetic Aperture Radar (PALSAR) Several hydromorphic sinks/depressions, sub-basin extracted Shuttle Topography Mission (SRTM) results revealed that assessed potential zones (GPZs) can be arranged into five distinctive groups, depending their probability groundwater, namely very low (6.56%), (22.62%), moderate (30.75%), high (29.71%), (10.34%). downstream Wadi Garara have recharge storage potential. Interferometry (InSAR) coherence change detection (CCD) Sentinel-1 data consistency between InSAR CCD (low change) received plausible amount surface those values close 0 (high change). Landsat validated runoff are potentiality. twenty-nine well locations overlaid GPZs, predicted model, indicated about 86.17% wells matched good zones.