Geoelectrical resistivity data sets for subsurface characterisation and aquifer delineation in Iyesi, southwestern Nigeria

Ahzegbobor P. Aizebeokhai; Kehinde D. Oyeyemi; Funmilola R. Noiki; Blessing I. Etete; Akpore U.E. Arere; Ubongabasi J. Eyo; Valentino C. Ogbuehi

Data in Brief (Dec 2017)

Geoelectrical resistivity data sets for subsurface characterisation and aquifer delineation in Iyesi, southwestern Nigeria

Ahzegbobor P. Aizebeokhai,
Kehinde D. Oyeyemi,
Funmilola R. Noiki,
Blessing I. Etete,
Akpore U.E. Arere,
Ubongabasi J. Eyo,
Valentino C. Ogbuehi

Affiliations

Ahzegbobor P. Aizebeokhai: Corresponding author.; Applied Geophysics Group, College of Science and Technology, Covenant University, Ota, Nigeria
Kehinde D. Oyeyemi: Applied Geophysics Group, College of Science and Technology, Covenant University, Ota, Nigeria
Funmilola R. Noiki: Applied Geophysics Group, College of Science and Technology, Covenant University, Ota, Nigeria
Blessing I. Etete: Applied Geophysics Group, College of Science and Technology, Covenant University, Ota, Nigeria
Akpore U.E. Arere: Applied Geophysics Group, College of Science and Technology, Covenant University, Ota, Nigeria
Ubongabasi J. Eyo: Applied Geophysics Group, College of Science and Technology, Covenant University, Ota, Nigeria
Valentino C. Ogbuehi: Applied Geophysics Group, College of Science and Technology, Covenant University, Ota, Nigeria

Journal volume & issue: Vol. 15
pp. 828 – 832

Abstract

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This article consists of geoelectrical resistivity data sets for thirty (30) vertical electrical sounding (VES) and four (4) traverses of 2D electrical resistivity imaging (ERI) collected within Iyesi, Ota, southwestern Nigeria for about five (5) weeks between December, 2016 and January, 2017 using an ABEM Terrameter (SAS1000/4000). The observed apparent resistivity data sets for the VES were processed using WinResist to obtain geoelectric layer parameters while those of the 2D ERI were processed with RES2DINV to obtain 2D inverse model resistivity images. The geoelectric parameters for the VES and the inverse models for the 2D ERI were integrated to characterise the subsurface and delineate the underlying aquifer units. Keywords: Geoelectrical resistivity, VES and 2D ERI, Subsurface characterisation, Aquifer delineation, Groundwater potential

Published in Data in Brief

ISSN: 2352-3409 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Medicine: Medicine (General): Computer applications to medicine. Medical informatics; Science: Science (General)
Website: http://www.journals.elsevier.com/data-in-brief/

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