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Dynamic analysis of a long-runout, flow-like landslide at Areletuobie, Yili River valley, northwestern China

  • Wenpei Wang
  • Yueping YinEmail author
  • Sainan Zhu
  • Yunjie Wei
  • Nan Zhang
  • Jinkai Yan
Original Paper

Abstract

In the analysis reported here, the catastrophic landslide at Areletuobie town in Xinyuan county is used as an example to investigate the formation mechanism and dynamics of a flow-like landslide in Yili River valley. At 0:30 a.m. on July 31, 2012, a catastrophic landslide occurred in Xinyuan, Xinjiang, northwestern China, resulting in the deaths of 28 people when the temporary sheds in the downstream adit mining area were destroyed and buried directly in the path of the landslide. The runout distance of the landslide was about 1800 m, and the accumulative volume was about 600,000 m3. The landslide can be categorized into three regions: the sliding source, impact-shoveling, and flow-accumulative regions. The stability of the landfill slope in the sliding source region was analyzed at two seepage stages of a long period of rain and a sudden heavy rainfall. To improve the accuracy of further hazard assessments of similar types of potential landslides in the same area, we simulated the kinematic and dynamic processes of the impact-shoveling region and the debris flow using the numerical model DAN-W and a combination of the frictional model and Voellmy model. The landslide moved for approximately 139 s downward along the valley, with a maximum velocity of 30 m s−1. This is a typical long-runout flow-like landslide. Finally, we conclude that the identification of the potential geological hazards at Yili River valley area is crucial to prevent any catastrophic flow-like landslide triggered by heavy rainfall. The identified indicators should be properly used as a scientific basis for classifying hazard areas of flow-like landslides as well as for monitoring and early recognition.

Keywords

Flow-like landslide Heavy rainfall Yili River valley Loess 

Notes

Acknowledgements

This study was supported by the National Natural Science Foundation of China (No. 41502305) and geological disaster detailed investigation project of China Geological Survey (No.DD2017 9609). The authors express their gratitude to Dr. Yao Jiang, Dr. Maoguo Zhuang, Dr. Hai Shao, Dr. Zhe Huang, and Professor Aiguo Xing, as well as to He Zhu for their kind support and help. We are grateful to Prof. O. Hungr for supplying a copy of the DAN-W software. We are also very grateful to the Editor in Chief of Bulletin of Engineering Geology and the Environment, Martin Gordon Culshaw, for supporting the possible publication of our study. Finally, the authors’ special appreciation goes to the reviewers of this manuscript for their useful comments.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Wenpei Wang
    • 1
  • Yueping Yin
    • 1
    Email author
  • Sainan Zhu
    • 1
  • Yunjie Wei
    • 1
  • Nan Zhang
    • 1
  • Jinkai Yan
    • 1
  1. 1.China Institute of Geo-Environment Monitoring China Geological SurveyBeijingChina

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