Geoelectric and hydro-geochemical assessments of waterlogging and drainage for soil and agronomic groundwater evaluation at Akwa Ibom State University: Field and laboratory data mining approaches
• Chronic waterlogging due to shallow water tables, low-permeability soils, and intense rainfall. • The study utilized 25 VES points and ERT to identify 3–4 geoelectric layers. • Localized contamination with heavy metals and fluoride exceeded safe limits. • High sodium content in water, posing long-term risks for soil and crop productivity. • Installing subsurface drainage systems, enhancing land use planning, and implementing targeted water quality monitoring to ensure environmental and agricultural sustainability. Akwa Ibom State University (AKSU) in southeastern Nigeria faces recurrent waterlogging, poor drainage, and declining groundwater quality due to shallow water tables, low-permeability soils, intense rainfall, and unregulated land development. These issues have caused environmental degradation, hindered agriculture, and disrupted infrastructure. This study aims to evaluate the spatiotemporal hydrogeological and hydrochemical conditions of the AKSU campus to inform sustainable groundwater and drainage management. A combination of geophysical methods—vertical electrical sounding (VES) and electrical resistivity tomography (ERT)—was employed alongside hydrochemical analyses, data mining (Pareto and AHP), and irrigation suitability assessments. Field investigations involved 25 VES points and 2D ERT surveys, processed using WINRESIST and RES2DINV. Results identified 3–4 geoelectric layers, including productive sandy aquifers, with transmissivity values ranging from 1195.3 to 6611.6 m²/day and high correlations (R² > 0.9) between bulk aquifer resistivity and hydrodynamic parameters. Laboratory analyses showed that most groundwater samples met WHO standards, though localized exceedances of Fe, Pb, Cu, Mn, Ni, and fluoride were observed. Irrigation indices revealed that high sodium levels limit long-term agricultural suitability. Pareto and AHP analyses highlighted drainage density, rainfall, and topography as key contributors to waterlogging. The study concludes with recommendations for subsurface drainage systems, improved land use planning, and targeted water quality monitoring to support long-term environmental and agricultural resilience.
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