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Research Article Open access CC BY 4.0

Dumpsite Characterisation in Ekpoma from Integrated Surface Geophysical Methods

K. O. Ozegin, O. J. Ataman, S. I. Jegede

Physical Science International Journal · pp. 1–11 · Published 10 Aug 2017

10.9734/PSIJ/2017/35289

Abstract

Foreseeable consequences of the practice of solid waste disposal in landfills are gas and leachate generation due primarily to microbial decomposition, climatic conditions and refuse characteristics. Hence, this paper presents an assessment of the effects of waste dumpsite using Electromagnetic and electrical resistivity methods in dump located along Police Barrack Road, Ekpoma in Esan West Local Government Area of Edo State. Low Frequency - Electromagnetic (VLF-EM) field data were obtained in four traverses measuring 70 m, 70 m, 40 m and 45 m at profiles 01, 02, 03 and 04 respectively. The VLF-EM data were analysed through qualitative interpretation of the curves and analysed using Karous-Hjelt Software to delineate the conductive and non-conductive zones in the study area. Four Vertical Electrical Sounding (VES) stations were utilized, using Schlumberger configuration. Data obtained from the VES technique were processed using IP2win software. The VES curves obtained revealed simple subsurface geology with characteristic H and A curve types with low resistivities in the range of 37.21 Ωm to 44.9 Ωm indicative of leachate contamination. The VLF technique revealed lithology with high amplitudes in the region of 35 m and 40 to 45 m, 21 to 30 m and 17 to 24 m also indicative of contamination arising from leachate wastes and underground pollution in the dumpsites.

Landfill solid waste disposal biodegradation leachate environmental impacts Ekpoma

Cited by 2

The Assessment of Groundwater Availability in Sedimentary Environments Using the Electrical Resistivity Method: A Case of Ekpoma and Its Environs, Southern Nigeria

Endurance Idiahi, Kola Abdul Nafiu Adiat, Kesyton Oyamenda Ozegin · Indonesian Journal of Earth Sciences · 2023

Integrating in-situ data and spatial decision support systems (SDSS) to identify groundwater potential sites in the Esan plateau, Nigeria

Kesyton Oyamenda Ozegin, Stephen Olubusola Ilugbo, Owens Monday Alile · Groundwater for Sustainable Development · 2024

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