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Peer-reviewedCC BY 4.0PLOS One

A comparative study of pseudo-dipole arrays and standard arrays based on the high-density DC resistivity method

4 affiliations
  1. 1Zhejiang Institute of Hydraulics & Estuary (Zhejiang Institute of Marine Planning & Design), Hangzhou, Zhejiang, China
  2. 2Zhejiang Guangchuan Engineering Consulting Co., Ltd., Hangzhou, Zhejiang, China
  3. 3East China University of Technology, Nanchang, Jiangxi, China
  4. 4Xinjiang Institute of Technology, Urumqi, Xinjiang, China

Abstract

High-density direct current resistivity surveys play a crucial role in characterizing aquifer structures and groundwater contamination. However, the necessity of using multiple electrode arrays to achieve comprehensive subsurface imaging significantly prolongs field data acquisition, posing challenges to efficient hydrological investigations. This study validates an efficient approach that employs a single pseudo-dipole array to derive comprehensive datasets equivalent to those obtained from multiple standard arrays (e.g., Wenner α, β, γ). The pseudo-dipole configuration, which utilizes fixed reference electrodes positioned at the line ends, demonstrates vertical resolution comparable to that of conventional dipole arrays, while offering superior lateral resolution in our analysis. Numerical modeling and analytical solutions for homogeneous half-space, vertical contact, and multi-anomaly models confirmed that the pseudo-dipole array exhibits enhanced sensitivity to subsurface anomalies. Numerical experiments demonstrate that high-resolution apparent resistivity pseudosections and reliable inversion models, derived from transformed pseudo-dipole data, can effectively identify hydrological units. This method provides a time-efficient solution for detailed aquifer mapping and contamination plume monitoring, thereby enhancing the utility of electrical resistivity tomography in water resource management.

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BibTeX
@article{jiang2026comparative,
  title = {{A comparative study of pseudo-dipole arrays and standard arrays based on the high-density DC resistivity method}},
  author = {Xiaoyi Jiang and Shuhai Jiang and Hui Chen and Jianjun Gong and Suiming Liu},
  journal = {PLOS One},
  year = {2026},
  month = oct,
  doi = {10.1371/journal.pone.0360161},
  url = {https://doi.org/10.1371/journal.pone.0360161},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - A comparative study of pseudo-dipole arrays and standard arrays based on the high-density DC resistivity method
AU  - Xiaoyi Jiang
AU  - Shuhai Jiang
AU  - Hui Chen
AU  - Jianjun Gong
AU  - Suiming Liu
PY  - 2026
DA  - 2026/10/14
JO  - PLOS One
DO  - 10.1371/journal.pone.0360161
UR  - https://doi.org/10.1371/journal.pone.0360161
AB  - High-density direct current resistivity surveys play a crucial role in characterizing aquifer structures and groundwater contamination. However, the necessity of using multiple electrode arrays to achieve comprehensive subsurface imaging significantly prolongs field data acquisition, posing challenges to efficient hydrological investigations. This study validates an efficient approach that employs a single pseudo-dipole array to derive comprehensive datasets equivalent to those obtained from multiple standard arrays (e.g., Wenner α, β, γ). The pseudo-dipole configuration, which utilizes fixed reference electrodes positioned at the line ends, demonstrates vertical resolution comparable to that of conventional dipole arrays, while offering superior lateral resolution in our analysis. Numerical modeling and analytical solutions for homogeneous half-space, vertical contact, and multi-anomaly models confirmed that the pseudo-dipole array exhibits enhanced sensitivity to subsurface anomalies. Numerical experiments demonstrate that high-resolution apparent resistivity pseudosections and reliable inversion models, derived from transformed pseudo-dipole data, can effectively identify hydrological units. This method provides a time-efficient solution for detailed aquifer mapping and contamination plume monitoring, thereby enhancing the utility of electrical resistivity tomography in water resource management.
SN  - 1932-6203
ER  -