November 2019, Vol. 4, No. 11, pp 273-280. 

​​Aquifer Parameters Estimation Using Electrical Resistivity Data from Taraba State University, Jalingo, North East Nigeria

Awudu Habila¹*, Maxwell O. Kanu², Gabriel Oche²
¹Department of Physics, Faculty of Physical Sciences, Bayero University Kano, Nigeria.
²Department of Physics, Faculty of Science, Taraba State University, Nigeria.

​​*Corresponding author’s e-mail: habilaawudu44@gmail.com

Abstract

The present work aimed at estimating Aquifer Parameters within the Taraba State University Campus using electrical resistivity method. A total of 15 Vertical Electrical Sounding (VES) data were collected using Schlumberger Configuration in a basement terrain in Taraba state university Jalingo. The data obtained were analyzed with IX1-D v.3 Interprex software. The Hydraulic conductivity and Transmissivity determine from empirical relationships range from 33114 m/day to 314113m/day and 41937.38m2/day to 696891.35m2/day respectively. Three groundwater potential rating were defined based on the aquifers Hydraulic conductivity and Transmissivity data; poor (45%), fairly good (35%), and good (20%). Vertical electrical sounding revealed that the area is characterized by 4-5 and 6 subsurface geo-electric layers with the 6- layer type being the dominant type. Longitudinal unit conductance of the overburden units ranged from 2285mΩ to 642 mΩ. It was observed that areas of good groundwater potential also have good aquifer protective capacity. Groundwater development should therefore be concentrated more in areas of good groundwater potential for continuous and steady supply of potable water.

Keywords: Aquifer parameters; Vertical electrical sounding; Electrical resistivity data; Geophysical.

References

  1. Abraham EM, Alile OM, Modeling subsurface geologic structures at the Ikogosi geothermal field, southwestern Nigeria, using gravity, magnetics and seismic interferometry techniques, Journal of Geophysics and Engineering 2019;16:729-41.
  2. Oku HB, Poronakie NB, Naluba GU, Spatial variation of plant succession oil impacted sites in the Niger delta, Sacha Journal of Environmental Studies 2012;2:170-7.
  3. Department of Geography And Environmental Studies 2018;2(1):170-7.
  4. Koefoed O, An Appropriate Method Resistivity Interpretation, Geophysical       Prospecting 2018;24:617-32.
  5. Adeyemo IA, Omosuyi GO, Geophysical investigation of road pavement instability along part of Akure-Owo express way, Southwestern Nigeria 2018;1-35.
  6. Dan Hassan MA, Olorunfemim MO, Hydro-geophysical investigation of basement Complex terrain in the north central part of Kano state, Nigeria, Journal of Mining Geology 2018;35(2):189-200.
  7. Niwa S, Singhal DC. Aquifer transmissivity of porous media from resistivity data, J Hydrol 2018;82:143-53.
  8. Niwas, Singh KP. Nonlinear estimation of aquifer parameter from surficial resistivity measurement, Hydrology and Earth System Science Discussion 2018;2:917-37.
  9. Singhal DC, Sir Niwas, Shakeel M, Adam, Estimation of hydraulic characteristics   of alluvial aquifers from electrical resistivity data. Journal of the Geological society of India 2018;51:461-70.
  10. Aboh, H.O. Detailed Regional Geophysical Investigation of the Subsurface Terrain in Kaduna Area, Kaduna State, Nigeria, Unpublished Ph.D. Thesis, Physics Dept, A.B.U Zaria. 2018.
  11. Carter JD, Barbar W, Tait EA, Jones GP, the geology part of Adamawa, Bauchi and Borno province in North-Eastern Nigeria, Bull Geosurvey Nig 2018;30:1-108.

International Journal of Modern Science and Technology

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ISSN 2456-0235