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Disaster Chain Analysis of Avalanche and Landslide and the River Blocking Dam of the Yarlung Zangbo River in Milin County of Tibet on 17 and 29 October 2018

Author

Listed:
  • Huicong Jia

    (Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China)

  • Fang Chen

    (Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China
    University of Chinese Academy of Sciences, Beijing 100049, China
    Hainan Key Laboratory of Earth Observation, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Sanya 572029, China)

  • Donghua Pan

    (Department of Integrated Disaster Risk Reduction, Ministry of Emergency Management of the People’s Republic of China, Beijing 100021, China)

Abstract

As a “starting zone” and “amplifier” of global climate change, the Qinghai–Tibet Plateau is very responsive to climate change. The global temperature rise has led directly to an acceleration of glacial melting in the plateau and various glacier avalanche disasters have frequently occurred. The landslide caused by glacier avalanches will damage the surrounding environment, causing secondary disasters and a disaster chain effect. Take the disaster chain of the Yarlung Zangbo River at Milin County in Tibet on 17 and 29 October 2018 as an example; a formation mechanical model was proposed. The evolution mechanism for the chain of events is as follows: glacial melt → loose moraine deposit → migration along the steep erosion groove resulting in glacier clastic deposition then debris flow → formation of the dam plug to block the river → the dammed lake. This sequence of events is of great significance for understanding the developmental trends for future avalanches, landslides, and river blocking dam disasters, and for disaster prevention planning and mitigation in the Qinghai–Tibet Plateau.

Suggested Citation

  • Huicong Jia & Fang Chen & Donghua Pan, 2019. "Disaster Chain Analysis of Avalanche and Landslide and the River Blocking Dam of the Yarlung Zangbo River in Milin County of Tibet on 17 and 29 October 2018," IJERPH, MDPI, vol. 16(23), pages 1-12, November.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:23:p:4707-:d:291048
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    References listed on IDEAS

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    1. Jianxiu Wang & Xueying Gu & Tianrong Huang, 2013. "Using Bayesian networks in analyzing powerful earthquake disaster chains," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 68(2), pages 509-527, September.
    2. Nana Yang & Jiansong Li & Binbin Lu & Minghai Luo & Linze Li, 2019. "Exploring the Spatial Pattern and Influencing Factors of Land Carrying Capacity in Wuhan," Sustainability, MDPI, vol. 11(10), pages 1-16, May.
    3. A. Carpignano & E. Golia & C. Di Mauro & S. Bouchon & J-P. Nordvik, 2009. "A methodological approach for the definition of multi-risk maps at regional level: first application," Journal of Risk Research, Taylor & Francis Journals, vol. 12(3-4), pages 513-534, June.
    4. Dirk Helbing, 2013. "Globally networked risks and how to respond," Nature, Nature, vol. 497(7447), pages 51-59, May.
    5. Lifen Xu & Xiangwei Meng & Xuegong Xu, 2014. "Natural hazard chain research in China: A review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 70(2), pages 1631-1659, January.
    6. K. Peters & L. Buzna & D. Helbing, 2008. "Modelling of cascading effects and efficient response to disaster spreading in complex networks," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 4(1/2), pages 46-62.
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    1. Tiantian Zhang & Yueping Yin & Bin Li & Yang Gao & Meng Wang, 2022. "Characteristics and dynamic analysis of the October 2018 long-runout disaster chains in the Yarlung Zangbo River downstream, Tibet, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 113(3), pages 1563-1582, September.

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