An Integrated Remote Sensing and GIS-Based Technique for Mapping Groundwater Recharge Zones: A Case Study of SW Riyadh, Central Saudi Arabia

It might be difficult to find possible groundwater reservoir zones, especially in arid or hilly regions. In the twenty-first century, remotely sensed satellite imagery may present a new opportunity to locate surface and subsurface water resources more quickly and affordably. In order to identify gro...

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Bibliographic Details
Published in:Hydrology 2024-03, Vol.11 (3), p.38
Main Authors: EL-Bana, Eman Mohamed M., Alogayell, Haya M., Sheta, Mariam Hassan, Abdelfattah, Mohamed
Format: Article
Language:English
Subjects:
Agriculture
Analytic hierarchy process
Aquifers
Arid regions
Arid zones
Climate change
Drainage
Drainage density
Drought
Geographic information systems
Geographical information systems
Geology
Geomorphology
GIS
Groundwater
Groundwater potential
groundwater potential zones
Groundwater recharge
Groundwater reservoirs
Hierarchies
Information systems
Land cover
Land use
Mathematical analysis
multicriteria
Multiple criterion
Observation wells
Parameters
Rain
Rainfall
Regions
Remote sensing
Reservoirs
Satellite imagery
Saudi Arabia
Subsurface water
SW Riyadh
Topography
Water resources
Water, Underground
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Summary:It might be difficult to find possible groundwater reservoir zones, especially in arid or hilly regions. In the twenty-first century, remotely sensed satellite imagery may present a new opportunity to locate surface and subsurface water resources more quickly and affordably. In order to identify groundwater potential zones, the current study was conducted in Central Saudi Arabia, southwest of Riyadh. The present analysis employed a multi-criteria approach that relies on remote sensing and geographic information systems. The variables employed in this technique include geology, rainfall, elevation, slope, aspect, hillshade, drainage density, lineaments density, and Land Use/Land Cover (LULC). The Analytical Hierarchical Process (AHP) was used for assigning weights to the parameters, and the corresponding significance of each parameter’s several classes for groundwater potentiality. Different groundwater potential zones were identified by the study: very high (16.8%), high (30%), medium (26.7%), low (18.6%), and very low (7.9%). Only two of the observation wells were located in the “medium” potential zone, but the other ten wells were observed in the “very high and high” potential zones, according to the validation survey. Consequently, the results may demonstrate that the current approach, which combines improved conceptualization with AHP to define and map groundwater potential zones, has a greater chance of producing accurate results and can be used to reduce the threat of drought in broader arid regions.
ISSN:2306-5338
2306-5338
DOI:10.3390/hydrology11030038