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- Title
Integration of remote sensing and a GIS-based method for revealing prone areas to flood hazards and predicting optimum areas of groundwater resources.
- Authors
Hong, Yu; Abdelkareem, Mohamed
- Abstract
Groundwater is a valuable water resource in the arid/hyper-arid regions where the precipitation is limited. Thus, the need for groundwater has risen worldwide to prolong life. Following rainstorms, ample precipitated water accumulates and infiltrates the subsurface to the groundwater. Sentinel-1&2, SRTM, TRMM, ALOS/PALSAR, and gelogical data were processed and integrated to recognize the hydrological information and groundwater potential zones (GWPZs) of an arid region east of the Nile River which belongs to Luxor city in southern Egypt. ALOS/PALSAR and SRTM data allowed revealing geologic structures, hydromorphic characteristics, and delineated prone area to flash flood hazards (FFHs). Multi-criteria information that controls the occurrence, movements, and infiltration capacities was combined after applying weight factors. Such information stemmed from remotely sensed and ancillary data which were used through a GIS-based method to reveal the optimum zones of water resources. The result proven that about 14.88% of studied basin considers a promising zone of groundwater probability and denotes the most likely portion for further exploration. Satellite data confirmed that the detected zones are cultivated and groundwater is suitable for irrigation of several strategic crops. It is concluded that storing flood water during rainy storms in man-made depressions would offer additional water quantity to benefit expansion in remote regions.
- Publication
Arabian Journal of Geosciences, 2022, Vol 15, Issue 1, p1
- ISSN
1866-7511
- Publication type
Article
- DOI
10.1007/s12517-021-09422-z