Evidence map›Paper›PMID 35607494›Full record

ArticleHeliyon2022

Assessing the suitable electrical resistivity arrays for characterization of basement aquifers using numerical modeling.

Kehinde D Oyeyemi, Ahzegbobor P Aizebeokhai, Mohamed Metwaly, Oluseun Omobulejo, Oluseun A Sanuade, Emmanuel E Okon

Abstract read
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kehinde D OyeyemiApplied Geophysics Unit, Department of Physics, Covenant University, Nigeria.
Ahzegbobor P AizebeokhaiApplied Geophysics Unit, Department of Physics, Covenant University, Nigeria.
Mohamed MetwalyDepartment of Archaeology, College of Tourism and Archaeology, King Saud University, Saudi Arabia.
Oluseun OmobulejoApplied Geophysics Unit, Department of Physics, Covenant University, Nigeria.
Oluseun A SanuadeBoone Pickens School of Geology, Oklahoma State University, Stillwater, United States.
Emmanuel E OkonDepartment of Geology, University of Calabar, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Basement aquifersElectrical resistivity imagingGroundwater explorationHydrogeologyNumerical modeling

Identifiers

PMID35607494
PMCPMC9123229

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.