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Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China

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Abstract

A catastrophic landslide occurred at Xinmo village in Maoxian County, Sichuan Province, China, on June 24, 2017. A 2.87×106 m3 rock mass collapsed and entrained the surface soil layer along the landslide path. Eighty-three people were killed or went missing and more than 103 houses were destroyed. In this paper, the geological conditions of the landslide are analyzed via field investigation and high-resolution imagery. The dynamic process and runout characteristics of the landslide are numerically analyzed using a depth-integrated continuum method and MacCormack-TVD finite difference algorithm. Computational results show that the evaluated area of the danger zone matchs well with the results of field investigation. It is worth noting that soil sprayed by the high-speed blast needs to be taken into account for such kind of large high-locality landslide. The maximum velocity is about 55 m/s, which is consistent with most cases. In addition, the potential danger zone of an unstable block is evaluated. The potential risk area evaluated by the efficient depth-integrated continuum method could play a significant role in disaster prevention and secondary hazard avoidance during rescue operations.

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Acknowledgments

Field helps from the armed police traffic team are highly appreciated. Financial support from National Nature Science Foundation of China (Grant No. 41572303, 41520104002), Chinese Academy of Sciences “Light of West China” Program and Youth Innovation Promotion Association, is acknowledged.

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Authors and Affiliations

  1. Key laboratory of Mountain Hazards and Surface Process &Institute of Mountain Hazards and Environment (IMHE), Chinese Academy of Sciences, Chengdu, 610041, China

    Chao-jun Ouyang, Wei Zhao, Si-ming He, Dong-po Wang, Shu Zhou & Hui-cong An

  2. University of Chinese Academy of Sciences, Beijing, 100049, China

    Chao-jun Ouyang, Wei Zhao, Si-ming He, Shu Zhou & Hui-cong An

  3. Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences, Beijing, 100101, China

    Si-ming He

  4. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, 610059, China

    Dong-po Wang & Zhong-wen Wang

  5. Sichuan Engineering Research Center for Emergency Mapping & Disaster Reduction/Sichuan Geomatics Center, Chengdu, 610041, China

    Duo-xiang Cheng

Authors
  1. Chao-jun Ouyang
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  2. Wei Zhao
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  3. Si-ming He
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  5. Shu Zhou
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  7. Zhong-wen Wang
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Correspondence to Shu Zhou.

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Ouyang, Cj., Zhao, W., He, Sm. et al. Numerical modeling and dynamic analysis of the 2017 Xinmo landslide in Maoxian County, China. J. Mt. Sci. 14, 1701–1711 (2017). https://doi.org/10.1007/s11629-017-4613-7

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  • DOI: https://doi.org/10.1007/s11629-017-4613-7

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