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Saudi Journal of Engineering and Technology (SJEAT)
Volume-7 | Issue-01 | 43-52
Original Research Article
Assessment and Correlation of Seasonal Changes in Subsurface Resistivity over a Region along Zaria, Northwestern Nigeria
Bamidele S.Y, Usman A, Momoh K.O, Lawan A.M
Published : Jan. 30, 2022
DOI : 10.36348/sjet.2022.v07i01.005
Abstract
Vertical electrical sounding was conducted using Schlumberger array at Ahmadu Bello University site II with the aim to determine seasonal changes in subsurface resistivity. A maximum current electrode spacing of 200 m was used for this survey and measurements were taken twice a month for one year. The acquired data was processed using IPI2win software and subsequently used to determine geoelectric sections. Five geoelectric layers were obtained from the interpretations. The first two geoelectric sections form the overburden with thicknesses ranging from 0 – 11 m and resistivity ranging from 122 to 200 Ωm. The third and the fourth geoelectric layers were interpreted as the weathered basement with thicknesses ranging from 11 – 24 m and resistivity ranging from 178 to 363 Ωm while the last layer was interpreted as the fresh basement with resistivity ranging from 422 to 1574 Ωm. Comparing the depth of interpretation of data in both seasons, the wet season data shows more depth probing which is fairly stable; this could be because the earth subsurface was more saturated and hence more conductive. The dry season data interpretation shows more stability compared to that of the wet data depth interpretation. A strong correlation was obtained from the statistical analysis between depth interpretations of the dry and wet season. A linear regression equation was obtained as y=1.0684x-0.2188 and about 99.97% dependence which show that we can use the wet season depth information to determine that of dry. The wet season is more appropriate for more depth probing with the exception of searching for water table since it rises up during the wet season and that may not be the true water table, while the dry season is appropriate for stability in data acquisition when required in a survey.
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