Evaluation of groundwater potential of Ogbomoso using stepwise weight assessment ratio analysis (SWARA) model

This research utilized various data types, including remote sensing (RS), aeromagnetic (AM), vertical electrical sounding (VES), and hydrogeological (HG) information, to create a groundwater potential map (GPM) of the Ogbomoso region in southwestern Nigeria. The lineaments obtained from the RS and A...

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Bibliographic Details
Published in:Arabian journal of geosciences 2024, Vol.17 (8), Article 227
Main Authors: Bayode, Sunday, Fajemilo, Pelumi Timothy, Sanusi, Sherif Olumide, Ojo, Bosede Taiwo
Format: Article
Language:English
Subjects:
Basement rock
Basements
Decision analysis
Earth and Environmental Science
Earth Sciences
Geoelectricity
Geology
Groundwater
Groundwater potential
Hydrogeology
Mercury
Multiple criterion
Original Paper
Remote sensing
Topsoil
Weight
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Summary:This research utilized various data types, including remote sensing (RS), aeromagnetic (AM), vertical electrical sounding (VES), and hydrogeological (HG) information, to create a groundwater potential map (GPM) of the Ogbomoso region in southwestern Nigeria. The lineaments obtained from the RS and AM results were merged to produce the lineament density (LD) map of the Ogbomoso area. One hundred and sixty-five VES data were collected for this study. The Ogbomoso area has a distinct geoelectric sequence that consists of various layers. These include the topsoil, weathered/saprolite, saprock, fractured basement, and fresh basement rock. Eight groundwater conditioning factors (GwCFs) were considered to ensure an accurate assessment of the groundwater potential (GP) in the Ogbomoso area. Stepwise weight assessment ratio analysis (SWARA), a multicriteria decision analysis (MCDA) technique, was used to assign weights to each GwCFs. The given weight was normalized, and a coefficient of coherence was established. SWARA helped characterize GP in the Ogbomoso area into different categories. It was discovered that there is a 0.63-degree correlation between well locations and GPM produced for the Ogbomoso area. This confirms that the SWARA modeling technique is reliable for predicting groundwater potential in any typical basement complex terrain worldwide.
ISSN:1866-7511
1866-7538
DOI:10.1007/s12517-024-12034-y