HYDROGEOPHYSICAL AND REMOTE SENSING CHARACTERIZATION OF ODODE-IDANRE SOUTHWESTERN, NIGERIA

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dc.contributor.author ATITEBI, MARY OLUWATOSIN
dc.date.accessioned 2020-11-04T11:23:13Z
dc.date.available 2020-11-04T11:23:13Z
dc.date.issued 2018-10
dc.identifier.citation M.Tech. en_US
dc.identifier.uri http://196.220.128.81:8080/xmlui/handle/123456789/1133
dc.description.abstract An approach engaging Vertical Electrical Sounding (VES) and remote sensing data was carried out with a view to developing groundwater potential and aquifer vulnerability models. One hundred and one (101) depth sounding data were acquired using Schlumberger array, with half maximum current electrode separation (AB/2) of 100 m. The VES were quantitatively interpreted using partial curve matching and computer aided iteration to determine the geoelectrical parameters of each station. The remote sensing data were processed using the application of Geographic Information System-based multi-criteria technique Arc GIS software. Eight (8) parameters namely, lineament density, drainage density, slope, transmissivity, hydraulic conductivity, coefficient of anisotropy, aquifer thickness and resistivity were used to produce the groundwater potential model while five (5) parameters namely, lineament density, slope, longitudinal conductance, hydraulic conductivity and thickness of layer overlying the delineated aquifer were also used to produce the vulnerability model. The final output of overlay parameters for estimating the groundwater potential gave an index that ranged from 1-5. Low, medium and high were assigned to indices 1, 3 and 5 respectively. The zone categorised as low groundwater potential covered about 80% of the area. The vulnerability of the area was classified into low, medium and high. The majority of the area falls within low (about 80%) vulnerability and low groundwater potential rating while being relatively protected from potential contaminants infiltrating from the surface. The prediction accuracy of the groundwater potential model was established via existing hand-dug well correlation analysis en_US
dc.description.sponsorship FUTA en_US
dc.language.iso en en_US
dc.publisher Federal University Of Technology, Akure. en_US
dc.subject HYDROGEOPHYSICAL en_US
dc.subject REMOTE SENSING CHARACTERIZATION OF ODODE-IDANRE en_US
dc.title HYDROGEOPHYSICAL AND REMOTE SENSING CHARACTERIZATION OF ODODE-IDANRE SOUTHWESTERN, NIGERIA en_US
dc.type Thesis en_US


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