Microseismic evolution and deep sliding surface identification of the Baige Landslide near the Jinsha River

The Baige Landslide, which occurred twice within a month near the Jinsha River in Tibet, China, posed a threat to more than 3000 people. The area of the post-sliding fracture zone continues to expand, potentially triggering further landslides due to worsening microfractures in the deep rock mass. This study implemented a microseismic monitoring system in the high-risk zone of the Baige Landslide to analyse the evolving damage processes within the deep rock mass. The spatial and temporal distributions of microseismic events, changes in energy, development of displacements, and predicted magnitudes were examined. Based on microseismic data from the Baige Landslide, a method has been proposed to predict and identify the deep sliding surface using microseismic parameter fitting and verification of surface macroscopic cracks. The results indicate a close correlation between the sliding surfaces identified via microseismic parameter fitting and those identified through monitoring deep deformations and surface crack displacements. These findings provide a foundational framework for future mitigation and stability assessments of the Baige Landslide in the Jinsha River area, and offer valuable insights into the prediction of sliding surfaces in other potentially unstable landslide scenarios.

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Institutions

Publication Details

Journal
Quarterly Journal of Engineering Geology and Hydrogeology
Published
2024-12-13
DOI
https://doi.org/10.1144/qjegh2023-168
Citations
2
Primary Topic
Landslides and related hazards
Type
article
Field-Weighted Citation Impact
1.42

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article

Microseismic evolution and deep sliding surface identification of the Baige Landslide near the Jinsha River

Chaobo Peng, Sihong Chen, Bohu Zhang, Xin Li et al.
2 citations
Quarterly Journal of Engineering Geology and Hydrogeology
Landslides and related hazards
1.42
article

Microseismic evolution and deep sliding surface identification of the Baige Landslide near the Jinsha River

Chaobo Peng, Sihong Chen, Bohu Zhang, Xin Li, Jianhui Deng, Zhe Wang
article en
2 citations

Abstract

The Baige Landslide, which occurred twice within a month near the Jinsha River in Tibet, China, posed a threat to more than 3000 people. The area of the post-sliding fracture zone continues to expand, potentially triggering further landslides due to worsening microfractures in the deep rock mass. This study implemented a microseismic monitoring system in the high-risk zone of the Baige Landslide to analyse the evolving damage processes within the deep rock mass. The spatial and temporal distributions of microseismic events, changes in energy, development of displacements, and predicted magnitudes were examined. Based on microseismic data from the Baige Landslide, a method has been proposed to predict and identify the deep sliding surface using microseismic parameter fitting and verification of surface macroscopic cracks. The results indicate a close correlation between the sliding surfaces identified via microseismic parameter fitting and those identified through monitoring deep deformations and surface crack displacements. These findings provide a foundational framework for future mitigation and stability assessments of the Baige Landslide in the Jinsha River area, and offer valuable insights into the prediction of sliding surfaces in other potentially unstable landslide scenarios.

Quarterly Journal of Engineering Geology and HydrogeologyVol. 58(1)
Southwest Petroleum University (CN), Sichuan University (CN), State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation (CN), State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering (CN), State Key Laboratory of Hydraulics and Mountain River Engineering
National Natural Science Foundation of China
Openalex Percentile: Top 14%
Landslides and related hazards
1.42
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