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Review Open access Aug 2026

Investigation of Potential Mineral Entrapment Using Airborne Magnetic and Radiometric Data of Ado-Ekiti, Southwestern Nigeria

In this work the mineral entrapment potentials of Ado-Ekiti were assessed using the airborne magnetic and radiometric data collected from the Nigerian Geological Survey Agency. To define structural patterns, to delineate lithological boundaries and to estimate depths to magnetic sources, the study utilizes a complete suite of magnetic data-processing techniques such as reduction-to-equator, first vertical derivative, analytic signal, tilt derivative, upward and downward continuation and 3-D Euler deconvolution. These outputs display the structural trends that are mostly NE–SW and NW–SE and are interpreted to represent the influence of the Pan-African Basement Complex, the principal fracture zones and shear belts and intrusive contacts. The geochemical differences such as variation in the composition of rocks and mineral assemblages can be seen in the maps of potassium, thorium and uranium and the ternary composites on the study area resulted from radiometric interpretation. As suggested by the spatial relationships between the felsic units, the pegmatite bodies and the alteration zones, high values for K, Th and U outline the areas affected by the hydrothermal processes. Coordinated magnetic and radiometric results give a good reinforcement in identifying the favourable targets. Magnetic lineament crossings of radiometric highs are known in a few places and are interpreted as prospective areas where the rocks are structurally controlled for concentration of minerals, and where alteration or mineralization of rocks occurs. The Euler solutions indicate depths ranging from shallow (~100 m) to deeper (>1 km) and some of these are very deep into the subsurface and could include mineralised systems.

Adedeji A. Adetoyinbo, T. Ogunseye, Folashade Lucia Aderemi et al. · 0 citations
Open access Jul 2026

Geochemical modelling and ecological risk of heavy metals in industrial agricultural soils: a Python-driven approach from southwestern Nigeria

Heavy metal contamination of agricultural soils near the Ota Industrial Estate, southwestern Nigeria, was assessed using a six-module Python pipeline that integrates geochemical indexing, ecological-risk modelling, and human-health risk assessment. Cu, Pb, Zn, and Cd were analysed at 12 sites. Cu, Pb, and Zn were within WHO/FAO permissible limits. Cd concentrations exceeded the WHO/FAO guideline of 0.80 mg/kg at half of the locations (IN1--IN6, up to 3.09 mg/kg), and two locations exceeded the upper limit of 3.0 mg/kg. Contamination-factor analysis classified Pb at the vehicle-workshop zones (IN7--IN9) as considerable to very high, with CF up to 12.61, and classified Cu/Zn as moderate to very high at fabrication and galvanisation zones. The mean ecological risk index (RI) for the estate was 64.5 ± 24.1, indicating low overall risk, although Cd and Pb fell within moderate Er bands in some sub-zones. Independent recomputation showed that none of five originally proposed metal-pair correlations was significant; however, a strong Pb--Cd correlation was Bonferroni-significant (r = 0.946, p = 0.0012), indicating a shared anthropogenic source. US EPA RAGS non-carcinogenic hazard indices were below unity for adults (HI = 0.014) and children (HI = 0.126). Carcinogenic risk was not quantified because validated oral slope factors for Cd or Pb are unavailable in IRIS. The principal regulatory basis for clean-up is the Cd exceedance. The open-source pipeline provides a reproducible framework for soil-contamination assessment in West African regulatory contexts.

C. Ogunkoya, G. Layade · 0 citations