Hydrogeophysical and aquifer vulnerability zonation of a typical basement complex terrain: A case study of Odode Idanre southwestern Nigeria.
| Autor: | Akintorinwa OJ; Department of Applied Geophysics, Federal University of Technology, Akure, Nigeria., Atitebi MO; Department of Applied Geophysics, Federal University of Technology, Akure, Nigeria., Akinlalu AA; Department of Applied Geophysics, Federal University of Technology, Akure, Nigeria. |
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| Jazyk: | angličtina |
| Zdroj: | Heliyon [Heliyon] 2020 Aug 18; Vol. 6 (8), pp. e04549. Date of Electronic Publication: 2020 Aug 18 (Print Publication: 2020). |
| DOI: | 10.1016/j.heliyon.2020.e04549 |
| Abstrakt: | An approach engaging Vertical Electrical Sounding (VES) and remote sensing data was carried out with a view to developing groundwater potential and aquifer vulnerability maps of the study area. 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 ArcGIS 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. The zone categorised as low groundwater potential covered about 80% of the area. 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. (© 2020 The Authors.) |
| Databáze: | MEDLINE |
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