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The Vulnerability of People to Landslides: A Case Study on the Relationship between the Casualties and Volume of Landslides in China

Author

Listed:
  • Qigen Lin

    (Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing 100875, China
    Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China)

  • Ying Wang

    (Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing 100875, China
    Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China)

  • Tianxue Liu

    (Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing 100875, China
    Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China)

  • Yingqi Zhu

    (Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing 100875, China
    Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China)

  • Qi Sui

    (Key Laboratory of Environmental Change and Natural Disaster of Ministry of Education, Beijing Normal University, Beijing 100875, China
    Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China)

Abstract
The lack of a detailed landslide inventory makes research on the vulnerability of people to landslides highly limited. In this paper, the authors collect information on the landslides that have caused casualties in China, and established the Landslides Casualties Inventory of China . 100 landslide cases from 2003 to 2012 were utilized to develop an empirical relationship between the volume of a landslide event and the casualties caused by the occurrence of the event. The error bars were used to describe the uncertainty of casualties resulting from landslides and to establish a threshold curve of casualties caused by landslides in China. The threshold curve was then applied to the landslide cases occurred in 2013 and 2014. The validation results show that the estimated casualties of the threshold curve were in good agreement with the real casualties with a small deviation. Therefore, the threshold curve can be used for estimating potential casualties and landslide vulnerability, which is meaningful for emergency rescue operations after landslides occurred and for risk assessment research.

Suggested Citation

  • Qigen Lin & Ying Wang & Tianxue Liu & Yingqi Zhu & Qi Sui, 2017. "The Vulnerability of People to Landslides: A Case Study on the Relationship between the Casualties and Volume of Landslides in China," IJERPH, MDPI, vol. 14(2), pages 1-12, February.
    • Handle: RePEc:gam:jijerp:v:14:y:2017:i:2:p:212-:d:91038
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    References listed on IDEAS

    as
    1. Settimio Ferlisi & Leonardo Cascini & Jordi Corominas & Fabio Matano, 2012. "Rockfall risk assessment to persons travelling in vehicles along a road: the case study of the Amalfi coastal road (southern Italy)," 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. 62(2), pages 691-721, June.
    2. Reinhold Totschnig & Walter Sedlacek & Sven Fuchs, 2011. "A quantitative vulnerability function for fluvial sediment transport," 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. 58(2), pages 681-703, August.
    3. M. Papathoma-Köhle & M. Kappes & M. Keiler & T. Glade, 2011. "Physical vulnerability assessment for alpine hazards: state of the art and future needs," 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. 58(2), pages 645-680, August.
    4. M. Silva & S. Pereira, 2014. "Assessment of physical vulnerability and potential losses of buildings due to shallow slides," 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. 72(2), pages 1029-1050, June.
    5. M. Papathoma-Köhle & M. Keiler & R. Totschnig & T. Glade, 2012. "Improvement of vulnerability curves using data from extreme events: debris flow event in South Tyrol," 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. 64(3), pages 2083-2105, December.
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