Groundwater Potential Evaluation in the University of Ilorin Main Campus, Southwestern Nigeria, Using Multisensory Data Techniques

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dc.contributor.authorOlasehinde, P.I.
dc.contributor.authorIge, O.O.
dc.contributor.authorFatoye, V.O.
dc.contributor.authorOlaleye, I.M.
dc.date.accessioned2023-06-07T09:25:29Z
dc.date.available2023-06-07T09:25:29Z
dc.date.issued2020
dc.description.abstractThis study, has adopted multi-data sets results, first on a regional scale to depict the structural fabric of Ilorin sheet 223 and then at chosen locations within the University of Ilorin Main Campus which is made up of the Basement Complex rocks. From the remote sensing map; Ilorin sheet 223 structural trend has been divided into two: the NE-SW and the NW-SE structural trends. The aeromagnetic anomalies divide the rocks in Ilorin into metamorphic (low to medium magnetic intensity) and igneous (high magnetic intensity) rocks. The resistivity data interpretation reveals the weathered basement in Ilorin to range from 5 to 20m and the first fracture regime ranging from 20m to 45m. The radial sounding results reveal the structural trend to be NW-SE and NE-SW with interconnection of joints. The radial sounding shows the rock types to be quartzitic, clayey and igneous as judged from the near hexagonal and elongated shapes of the polygons. The results indicated a good agreement between the trends of fractures derived from the radial VES and that from the lineament maps. Areas with low bedrock resistivity, thick overburden, presence of two or more interconnected fractures and high co-efficient of anisotropy indicate intense fracturing, thus, indicate areas of high groundwater potentiality.en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/11022
dc.language.isoenen_US
dc.publisherWater Resources, Nigerian Association of Hydrogeologistsen_US
dc.subjectRemote sensing. Aeromagnetic, VES, structural trend, groundwater direction, anisotropy polygon and coefficient of anisotropyen_US
dc.titleGroundwater Potential Evaluation in the University of Ilorin Main Campus, Southwestern Nigeria, Using Multisensory Data Techniquesen_US
dc.typeArticleen_US

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