| 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 |
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