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Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling
Numerical modeling analysis was used to assess the suitable electrical resistivity arrays for the characterization of geological structures, including dyke, horst, graben, sub-vertical, and vertical structures. These geological structures usually make up the aquifers interested in the hydrogeologica...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123229/ https://www.ncbi.nlm.nih.gov/pubmed/35607494 http://dx.doi.org/10.1016/j.heliyon.2022.e09427 |
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author | Oyeyemi, Kehinde D. Aizebeokhai, Ahzegbobor P. Metwaly, Mohamed Omobulejo, Oluseun Sanuade, Oluseun A. Okon, Emmanuel E. |
author_facet | Oyeyemi, Kehinde D. Aizebeokhai, Ahzegbobor P. Metwaly, Mohamed Omobulejo, Oluseun Sanuade, Oluseun A. Okon, Emmanuel E. |
author_sort | Oyeyemi, Kehinde D. |
collection | PubMed |
description | Numerical modeling analysis was used to assess the suitable electrical resistivity arrays for the characterization of geological structures, including dyke, horst, graben, sub-vertical, and vertical structures. These geological structures usually make up the aquifers interested in the hydrogeological evaluation of crystalline basement terrains. Six electrode configurations, including Wenner alpha (α), Wenner beta (β), Wenner gamma (γ), Schlumberger array, dipole-dipole array, and pole-dipole array, were used to assess the geological structures for groundwater exploration. The synthetic models of the geological structures were generated using RES2DMOD code, and 5% noise was added to all the models. The generated models were inverted using the RES2DINV code. The results show that the most suitable arrays for dyke and graben structures are Wenner alpha, while Wenner beta is the most suitable for the horst structure. The Schlumberger array was the best for both sub-vertical and vertical structures. This study has demonstrated the efficacy of numerical modeling in assessing the best resistivity arrays for 2D electrical resistivity imaging for groundwater exploration prior to geophysical field investigation. |
format | Online Article Text |
id | pubmed-9123229 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-91232292022-05-22 Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling Oyeyemi, Kehinde D. Aizebeokhai, Ahzegbobor P. Metwaly, Mohamed Omobulejo, Oluseun Sanuade, Oluseun A. Okon, Emmanuel E. Heliyon Research Article Numerical modeling analysis was used to assess the suitable electrical resistivity arrays for the characterization of geological structures, including dyke, horst, graben, sub-vertical, and vertical structures. These geological structures usually make up the aquifers interested in the hydrogeological evaluation of crystalline basement terrains. Six electrode configurations, including Wenner alpha (α), Wenner beta (β), Wenner gamma (γ), Schlumberger array, dipole-dipole array, and pole-dipole array, were used to assess the geological structures for groundwater exploration. The synthetic models of the geological structures were generated using RES2DMOD code, and 5% noise was added to all the models. The generated models were inverted using the RES2DINV code. The results show that the most suitable arrays for dyke and graben structures are Wenner alpha, while Wenner beta is the most suitable for the horst structure. The Schlumberger array was the best for both sub-vertical and vertical structures. This study has demonstrated the efficacy of numerical modeling in assessing the best resistivity arrays for 2D electrical resistivity imaging for groundwater exploration prior to geophysical field investigation. Elsevier 2022-05-13 /pmc/articles/PMC9123229/ /pubmed/35607494 http://dx.doi.org/10.1016/j.heliyon.2022.e09427 Text en © 2022 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Research Article Oyeyemi, Kehinde D. Aizebeokhai, Ahzegbobor P. Metwaly, Mohamed Omobulejo, Oluseun Sanuade, Oluseun A. Okon, Emmanuel E. Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
title | Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
title_full | Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
title_fullStr | Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
title_full_unstemmed | Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
title_short | Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
title_sort | assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123229/ https://www.ncbi.nlm.nih.gov/pubmed/35607494 http://dx.doi.org/10.1016/j.heliyon.2022.e09427 |
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