Department of Geophysics

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Browsing Department of Geophysics by Author "Agho, I. F."

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    Modeling of soil quality in Umonyeche Milieu Southern Region of Nigeria using Heavy Metal Index and Spatial Distribution.
    (British Journal of Multidisciplinary and Advanced Studies (BJMAS)., 2026) Osisanya, W.O.; Agho, I. F.; Auta, T.A.; Ogungbade, O.E.
    This study examined the presence of heavy metals (HMs) in soil samples collected from Umuonyeche in Owerri, Imo State, southeastern Nigeria. Metal concentrations were determined using Atomic Absorption Spectroscopy. To assess pollution levels, multiple indices were applied, including the Potential Ecological Risk Index (ERI), Geo-accumulation Index (Igeo), Contamination Degree (Cdeg), and Nemerow Pollution Index (PNI). Statistical tools such as the Pearson correlation matrix and Principal Component Analysis (PCA) were also used to evaluate the relationships among metals and identify their possible sources. The results showed that heavy metal contamination in the study area largely originates from anthropogenic activities, including automobile repairs, solid waste disposal, and agricultural practices. While the ERI suggested that the soil is mostly unpolluted, the Igeo results indicated the influence of human activities, highlighting a contrast between the two indices. The Cdeg values revealed a low level of contamination across the samples. Additionally, PNI assessments categorized the soils as 25.8% clean, 28.2% slightly clean, and 10.7% moderately polluted. Findings from PCA and the Pearson correlation matrix further onfirmed that the heavy metals present in the soil are primarily linked to human activities.
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    Water Quality Index, Hydrogeochemical Facies and Pollution Index of Groundwater in Port Harcourt, Niger Delta, River State, Nigeria.
    (Anchor University Journal of Science and Technology (AUJST)., 2025-11) Osisanya, W.O.; Agho, I. F.; Nevoh, G.O.; Akpeji, H.B.
    Groundwater and its potential health implications by analyzing 18 water samples and corresponding tooth dentine from local residents. Laboratory analyses employed indices such as the Nemerow Pollution Index (NPI), Modified Degree of Contamination (MDc), Pollution Load Index (PLI), and Quantification of Contamination (QoC), alongside multivariate statistical techniques including Principal Component Analysis (PCA) and correlation matrices. Results revealed NPI values that categorized 85.9% of samples as heavily polluted, while mCd values showed that 41.5% had a very low degree of contamination, and 22.2% exhibited moderate contamination. PLI values indicated low pollution levels across all samples, whereas QoC analysis showed 100% negative values, pointing to geogenic sources as the dominant contributors. Multivariate correlation analysis highlighted weak but notable relationships among HMs and physicochemical parameters, suggesting complex geochemical interactions and potential anthropogenic influence. The spatial pattern of pollution, especially the north-to-south gradient observed in NPI values, aligns with localized human activities and natural geological factors. The overall assessment reflects some degree of heavy metal presence in the groundwater while the PLI depocts limited contamination, These findings underscore the urgent need for continuous groundwater monitoring and the deployment of appropriate treatment technologies to safeguard public health and prevent long-term ecological damage.