Mapping and predicting groundwater accumulations using remote sensing and aeromagnetic data: a case study from Bahariya Oasis, Western Desert, Egypt
Hussein T. El-Badrawy, Saif M. Abo Khashaba, Sultan A. S. Araffa, Moamena Kassab, Mostafa Nagy

TL;DR
This study uses remote sensing and aeromagnetic data to map groundwater potential in Egypt's Bahariya Oasis, helping prioritize sustainable water resource planning.
Contribution
The first application of a GIS-AHP model combined with high-resolution aeromagnetic data in the Bahariya area for groundwater prediction.
Findings
High groundwater potential zones are concentrated in the southern and southeastern sectors of the Bahariya Oasis.
The model achieved 93.4% predictive accuracy when validated against well occurrences.
Aeromagnetic data revealed a thick sedimentary cover in the south and southeast, supporting enhanced groundwater storage potential.
Abstract
The Bahariya Oasis in Egypt’s Western Desert faces critical water security challenges due to intensive groundwater exploitation and limited renewable recharge. To address this challenge, this study integrates a GIS-AHP model for the first time in the Bahariya area and incorporates high-resolution aeromagnetic data to enhance the prediction of groundwater potential zones. Nine groundwater-controlling thematic layers were compiled from multi-source datasets, classified, and weighted using the AHP model: structural geology (lineament density), terrain (slope), hydrology (drainage density and rainfall), hydrogeology (lithology and soil moisture), land-surface conditions (NDVI and LU/LC), and the RTP aeromagnetic signal. The resulting groundwater potential map delineates coherent “very-high” potential corridors concentrated in the southern and southeastern sectors, where high lineament…
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Taxonomy
TopicsGroundwater and Watershed Analysis · Geophysical and Geoelectrical Methods · Geochemistry and Geologic Mapping
