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May 25, 2026Geohazard Mechanics0 citationsOpen Access

Geological and hydrological study of a deep-seated toppling using time-lapse electrical resistivity tomography

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SCShenghua CuiHWHui WangXPXiangjun Pei

Key Points

  • This research aims to explore the relationship between groundwater infiltration and toppling stability in a specific geological setting.
  • Conducted a geo-electrical investigation of the Shidaguan toppling from April 2019 to May 2020.
  • Employed time-lapse electrical resistivity tomography (ERT) to monitor water flow within the toppling.
  • Established a hydrological-mechanical coupling model based on resistivity and geological data.
  • Identified priority flow paths for rainfall infiltration, including tension cracks and sliding surfaces.
  • Demonstrated that groundwater infiltration reduces shear strength along the basal surface.
  • Outlined critical areas for monitoring toppling based on deformation and water migration patterns.

Abstract

The toppling stability is influenced by hydrogeology. However, the correlation between toppling and groundwater is complex and remains poorly be understood compared to the relationship between slides and groundwater. In this study, a geo-electrical investigation of the deep-seated Shidaguan toppling in southwestern China was conducted between April 2019 and May 2020. The material types of the toppling were determined and a morphological structural model was established based on drilling and apparent resistivity data. Time-lapse electrical resistivity tomography (ERT) was used to monitor the internal water flow processes within a large-scale deep-seated toppling. The processes of surface water infiltration and internal migration were captured, and a hydrological-mechanical coupling model was established. The model reveals that rainfall infiltrates the toppling body through priority flow paths, such as tension cracks, flexural fracture zones, and sliding surfaces, which leads to a reduction in shear strength along the basal surface. Furthermore, critical areas for monitoring and early warning of toppling were identified based on the evolution of deformation and water migration.

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Cite This Study

Cui et al. (2026) studied this question.

synapsesocial.com/papers/6a13e8030e02ee3982d32b0ahttps://doi.org/10.1016/j.ghm.2026.05.001
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