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ORIGINAL RESEARCH article

Front. Earth Sci.
Sec. Geohazards and Georisks
Volume 12 - 2024 | doi: 10.3389/feart.2024.1497757
This article is part of the Research Topic Failure Analysis and Risk Assessment of Natural Disasters Through Machine Learning and Numerical Simulation: Volume IV View all 14 articles

Risk Assessment of Potential Rock Collapse in Fenghuang Mountain, Three Gorges Reservoir Area,China

Provisionally accepted
Shi Cheng Shi Cheng 1,2Zhenwei Dai Zhenwei Dai 1,3*Anle Zhang Anle Zhang 1,2Jun Geng Jun Geng 3Zixuan Li Zixuan Li 1,4Fen Wang Fen Wang 1,4Bolin Huang Bolin Huang 2Nan Zhang Nan Zhang 5Xiannian Jiang Xiannian Jiang 6
  • 1 Wuhan Center, China Geological Survey (Geosciences Innovation Center of Central South China), Wuhan, China
  • 2 China Three Gorges University, Yichang, Hubei Province, China
  • 3 Hubei Key Laboratory of Operation Safety of High Dam and Large Reservoir, Yichang, Hubei, China, Yichang, China
  • 4 Faculty of Earth Resources, China University of Geosciences, Wuhan 430074, China, Wuhan, Hubei, China
  • 5 China Institute of Geological Environmental Monitoring, Beijing, Beijing Municipality, China
  • 6 No.208 Hydrogeology and Engineering Geology Team of Chongqing Bureau of Geology and Minerals Exploration, Chongqing, China

The final, formatted version of the article will be published soon.

    On October 8, 2017, persistent heavy rainfall triggered a rock collapse on Fenghuang Mountain in Wuxi Town, located within the Three Gorges Reservoir region of China. Subsequent field investigations and monitoring identified several potentially unstable rock masses in the area, posing a significant threat to the safety of nearby residents and their property. In this study,the Rapid Mass Movement Simulation (RAMMS) numerical tool was used to perform a back analysis of the rock collapse event. The well calibrated numerical model was then used to assess the risk of the potential unstable rock masses in the study area. The rock collapse on Fenghuang Mountain descended rapidly along the slope, with the dislodged material accumulating at the base and obstructing the road at the foot of the slope. Some debris breached the embankment and entered the Daning River. The computed maximum velocity during the rock collapse event was approximately 9.14 m/s, with an average maximum deposit thickness of around 4.48 m. The back-analysis of the rock collapse event closely aligns with the observed failure process and deposit morphology documented through field investigation. Using the well calibrated numerical model, a dynamic analysis was conducted on the potential unstable rock mass. The risk assessment indicates that the potential unstable rock mass is prone to instability, with a high likelihood of a subsequent rockfall under extreme rainfall conditions. The computed average maximum velocity for the potential rockfall is 33.83 m/s, with an average maximum deposit thickness of 2.20 m. The computed maximum impact pressure is about 164 kPa, which would result in significant damage to the road below. Additionally, a maximum wave height of 1.38 m from the surge caused by potential rockfall entering the Daning River was calculated by a semi-empirical model. This research offers a novel approach and methodology for assessing the risk of such hazardous events in similar geological setting globally.

    Keywords: Three Gorges Reservoir Area, Back analysis, Ramms, Dangerous rock collapse -surge, Risk Assessment

    Received: 17 Sep 2024; Accepted: 11 Nov 2024.

    Copyright: © 2024 Cheng, Dai, Zhang, Geng, Li, Wang, Huang, Zhang and Jiang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

    * Correspondence: Zhenwei Dai, Wuhan Center, China Geological Survey (Geosciences Innovation Center of Central South China), Wuhan, China

    Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.