Borehole Resistivity Imaging Method for the Disaster Evolution Process of Tunnel Seepage Instability-Induced Water Inrush

Water inrush disasters pose a serious threat during tunnel construction. Accurately evaluating their evolution process is essential for timely prevention and risk mitigation. Given the staged nature of seepage-instability-induced inrushes and the sensitivity of borehole resistivity imaging to water-bearing anomalies, this study explores the use of borehole resistivity methods to monitor the evolution of such events. A four-stage geoelectrical evolution model is developed based on the characteristics of inclined fault-related water inrushes. A time-lapse evaluation method combining least squares inversion and resistivity ratio analysis is proposed to assess the inrush process. Numerical simulations show that this method achieves a localization error below 2 m for inclined water-conducting channels. Across the four stages, the resistivity ratio of the channel ranges from 0.65 to 1.40, capturing the three-dimensional expansion of the inrush pathway. These findings confirm that borehole resistivity imaging effectively characterizes the evolution of water inrush disasters and supports early warning and mitigation strategies.

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Publication Details

Journal
Water
Published
2025-11-06
DOI
https://doi.org/10.3390/w17213181
Citations
1
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
Field-Weighted Citation Impact
1.87

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article

Borehole Resistivity Imaging Method for the Disaster Evolution Process of Tunnel Seepage Instability-Induced Water Inrush

Zhanxiang Li, Yi Wang, Zhiqiang Li, Dongjie Li et al.
1 citations
Water
Geophysical and Geoelectrical Methods
1.87
article

Borehole Resistivity Imaging Method for the Disaster Evolution Process of Tunnel Seepage Instability-Induced Water Inrush

Zhanxiang Li, Yi Wang, Zhiqiang Li, Dongjie Li, Yang Xue, Lei Han
article en
1 citations

Abstract

Water inrush disasters pose a serious threat during tunnel construction. Accurately evaluating their evolution process is essential for timely prevention and risk mitigation. Given the staged nature of seepage-instability-induced inrushes and the sensitivity of borehole resistivity imaging to water-bearing anomalies, this study explores the use of borehole resistivity methods to monitor the evolution of such events. A four-stage geoelectrical evolution model is developed based on the characteristics of inclined fault-related water inrushes. A time-lapse evaluation method combining least squares inversion and resistivity ratio analysis is proposed to assess the inrush process. Numerical simulations show that this method achieves a localization error below 2 m for inclined water-conducting channels. Across the four stages, the resistivity ratio of the channel ranges from 0.65 to 1.40, capturing the three-dimensional expansion of the inrush pathway. These findings confirm that borehole resistivity imaging effectively characterizes the evolution of water inrush disasters and supports early warning and mitigation strategies.

WaterVol. 17(21)
Shandong University (CN), Zhejiang Water Conservancy and Hydropower Survey and Design Institute (CN), PowerChina (China) (CN), Powerchina Huadong Engineering Corporation (China) (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 13%
Geophysical and Geoelectrical Methods
1.87
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