Toward Enhancing Soil Resistivity Measurement and Modelling for Limited Interelectrode Spacing

This article explores the influence of the maximum interelectrode spacing in soil resistivity measurements on the 1-D soil modeling process. Soil equivalent models are generated based on actual measurements using a Wenner configuration. The results indicate that soil resistivity models are significantly impacted by the maximum interelectrode spacing. For short spacings, rms errors ranging from over 19% to approximately 26% are observed, leading to up to a 5% reduction in upper layer resistivity and a 45% difference in the lower layer resistivity. To address this issue, a practical solution is proposed to improve the measurement and modeling process for sites with limited interelectrode spacing. The viability and rationale behind this solution are discussed and verified using extensive additional measurements. The verification process yielded positive results, confirming the potential of the proposed method for two-layer soils, as considerable improvement in the soil model was achieved. To cover additional scenarios and simulate measurements at different locations, synthetic data based on theoretical expressions are also considered. The synthetic data provided further evidence of the effectiveness of the proposed solution, but also highlights the need for further investigations to generalize the method for soils with a greater number of layers.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Electromagnetic Compatibility
Published
2024-12-18
DOI
https://doi.org/10.1109/temc.2024.3514772
Citations
3
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
Field-Weighted Citation Impact
1.60

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Toward Enhancing Soil Resistivity Measurement and Modelling for Limited Interelectrode Spacing

S. Mousa, Omar Kherif, N. Harid, Stephen Robson et al.
3 citations
IEEE Transactions on Electromagnetic Compatibility
Geophysical and Geoelectrical Methods
1.60
article

Toward Enhancing Soil Resistivity Measurement and Modelling for Limited Interelectrode Spacing

S. Mousa, Omar Kherif, N. Harid, Stephen Robson, H. Griffiths, David Thorpe, A. Haddad
article en
3 citations

Abstract

This article explores the influence of the maximum interelectrode spacing in soil resistivity measurements on the 1-D soil modeling process. Soil equivalent models are generated based on actual measurements using a Wenner configuration. The results indicate that soil resistivity models are significantly impacted by the maximum interelectrode spacing. For short spacings, rms errors ranging from over 19% to approximately 26% are observed, leading to up to a 5% reduction in upper layer resistivity and a 45% difference in the lower layer resistivity. To address this issue, a practical solution is proposed to improve the measurement and modeling process for sites with limited interelectrode spacing. The viability and rationale behind this solution are discussed and verified using extensive additional measurements. The verification process yielded positive results, confirming the potential of the proposed method for two-layer soils, as considerable improvement in the soil model was achieved. To cover additional scenarios and simulate measurements at different locations, synthetic data based on theoretical expressions are also considered. The synthetic data provided further evidence of the effectiveness of the proposed solution, but also highlights the need for further investigations to generalize the method for soils with a greater number of layers.

IEEE Transactions on Electromagnetic CompatibilityVol. 67(2)
Khalifa University of Science and Technology (AE), Derbyshire County Council (GB), Cardiff University (GB)
UK Research and Innovation, Cardiff University
Openalex Percentile: Top 17%
Geophysical and Geoelectrical Methods
1.60
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.