Ijraset Journal For Research in Applied Science and Engineering Technology
Authors: Mfoniso U. Aka, Okechukwu E. Agbasi
DOI Link: https://doi.org/10.22214/ijraset.2026.84689
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Groundwater is essential for agricultural development, particularly where surface-water resources are limited. However, groundwater occurrence in crystalline basement terrains is difficult to predict because lithology and geological structures vary considerably over short distances. This study evaluated the groundwater potential of Oban Farmland, Akamkpa Local Government Area, Cross River State, Nigeria, using integrated Electrical Resistivity Tomography (ERT) and Portable Quantum Water Detector (PQWT) surveys. ERT delineated vertical and lateral variations in subsurface resistivity, while PQWT provided reconnaissance information for identifying favourable groundwater zones. Two ERT profiles were acquired, processed, and inverted using RES2D software. Resistivity values ranged from 50.70 to 11,830.00 ?m along ERT-01 and from 20.50 to 1,140.00 ?m along ERT-02, indicating substantial subsurface heterogeneity. Low-resistivity zones were interpreted as weathered, potentially water-bearing materials, whereas very high-resistivity zones represented relatively dry lateritic deposits and fresh crystalline basement. The subsurface comprises lateritic topsoil, weathered materials, fractured basement, and fresh basement rock. Weathered-zone thickness ranged from approximately 24 to 78 m. Weathered and fractured basement units constitute the principal aquifers because they provide groundwater storage and flow pathways. Fractured zones with resistivity values of approximately 852–1,165 ?m were identified as promising drilling targets. Integrated interpretation indicated suitable borehole depths of approximately 70–135 m, especially where thick weathered materials coincide with fractured basement structures. The results demonstrate that combining ERT and PQWT significantly improves borehole siting and reduces groundwater-exploration uncertainty in complex basement environments. Borehole logging, pumping tests, and water-quality analyses are recommended to validate aquifer conditions and support sustainable agricultural groundwater development.
The text examines groundwater potential at Oban Farmland, Oban Community, Akamkpa LGA, Cross River State, Nigeria, with emphasis on groundwater exploration in crystalline basement terrain.
This study assessed the groundwater potential of Oban Farmland, Akamkpa Local Government Area, Cross River State, using an integrated ERT and PQWT approach. The ERT models revealed variations in subsurface resistivity, ranging from approximately 50.70 to 1,183.50 ?•m along ERT-01 and from 20.50 to 1,140.00 ?•m along ERT-02. These variations enabled the subsurface to be characterized into conductive weathered regolith, fractured or partly weathered basement, and relatively fresh crystalline basement. The most favourable groundwater conditions were associated with thick weathered materials that appeared hydraulically connected to fractured basement structures. These formations can provide groundwater storage within the regolith and secondary pathways for movement through interconnected fractures. The PQWT survey identified anomalies corresponding with several conductive and structurally disturbed zones delineated by ERT. Agreement between both datasets strengthened the selection of potential groundwater targets, although it did not independently confirm aquifer occurrence or productivity. Overall, integrating ERT with PQWT improved subsurface characterization and provided a defensible basis for prioritizing prospective borehole locations in the crystalline basement terrain. However, the interpreted targets should be validated through exploratory drilling, lithological and geophysical borehole logging, pumping tests, and hydrochemical analyses. These investigations are required to confirm aquifer depth, thickness, yield, hydraulic properties, and water quality and to support sustainable groundwater development for agricultural activities within Oban Farmland.
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Copyright © 2026 Mfoniso U. Aka, Okechukwu E. Agbasi. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Paper Id : IJRASET84689
Publish Date : 2026-08-23
ISSN : 2321-9653
Publisher Name : IJRASET
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