Volume 31 Issue 4
Aug.  2025
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Article Navigation >  Journal of Geomechanics  > 2025  >  31(4): 720-739
LI L，GU Z K，FAN H，et al.，2025. Geomorphic signatures of reservoir–slope hazards triggered by the Baihetan Reservoir impoundment, lower Jinsha River, China[J]. Journal of Geomechanics，31（4）：720−739 doi: 10.12090/j.issn.1006-6616.2025003
Citation: LI L，GU Z K，FAN H，et al.，2025. Geomorphic signatures of reservoir–slope hazards triggered by the Baihetan Reservoir impoundment, lower Jinsha River, China[J]. Journal of Geomechanics，31（4）：720−739 doi: 10.12090/j.issn.1006-6616.2025003
shu

Geomorphic signatures of reservoir–slope hazards triggered by the Baihetan Reservoir impoundment, lower Jinsha River, China

doi: 10.12090/j.issn.1006-6616.2025003
  • 1.

    Institute of International Rivers and Eco-Security, Yunnan University, Kunming 650091, Yunnan, China

  • 2.

    Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Kunming 650091, Yunnan, China

  • 3.

    Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China

  • 4.

    Key Laboratory of Active Tectonics and Geological Safety, Ministry of Natural Resources, Beijing 100081, China

  • 5.

    China Three Gorges Corporation, Chengdu 610095, Sichuan, China

  • 6.

    Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing 100124, China

Funds:  This research is financially supported by the Project of Three Gorges Corporation (Grant No. YMJ(BHT)/(21)036), the National Natural Science Foundation of China (Grant No.42107218), the Scientific Research and Innovation Fund for Postgraduates of Yunnan University (Grant No. KC-242410443), and the Geological Survey Project of the Chinese Geological Survey (Grant No. DD20230433).
More Information
  • Received: 2025-01-14
  • Revised: 2025-06-11
  • Accepted: 2025-06-12
    • Available Online: 2025-06-18
  • Published: 2025-08-28
    Abstract
  •   Objective  Slope instability triggered by reservoir water-level fluctuations represents a prevalent geohazard in mountainous regions and canyons undergoing large-scale hydropower development. Since the 21st century, accelerated hydropower development has necessitated enhanced methodologies for identifying such specific-type geohazard potentials. In recent years, InSAR observations have largely addressed the challenge of identifying large-scale, multi-target deformation; however, due to limitations in real-time monitoring capabilities, this technique cannot detect latent hazards that have not yet manifested as deformations. Therefore, there is an urgent need to establish geomorphic signatures of reservoir-induced slope failures to improve hazard identification specificity. The large-scale impoundment of the Baihetan Reservoir since 2021 has triggered a series of slope instabilities, providing an exceptional opportunity to define the geomorphic signatures.   Methods  We integrated InSAR observations, geomorphic parameters, and optical imagery. Specifically, we utilize 228 ascending and 234 descending Sentinel-1A datasets (2020–2023) processed with DS-InSAR to identify deformed slopes triggered by reservoir water-level fluctuations.  Results  The results demonstrate the explanatory power of geomorphic parameters such as toe height, slope, aspect, and roughness in relation to disaster triggers. Furthermore, the analysis reveals correlations between lithological variations, slope structures, precipitation, and reservoir water-level fluctuations.  Conclusion  The strength of lithology, slope structure, and geomorphometric parameters in the Baihetan Reservoir area, along with their corresponding numerical ranges, form composite geomorphic signatures that can be used to identify hazards associated with reservoir water-level-induced slope instability early on. Additionally, we discovered that, beyond the effects of water-level fluctuations , precipitation events also play a significant role in triggering slope instability in the reservoir area, highlighting the importance of this factor as a driving force.  Significance  These insights significantly advance risk mitigation strategies for hydropower projects, facilitating optimal site selection and operation of hydropower stations, while providing a reference framework for assessing other slope instability mechanisms.

     

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