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Regional disaster risk evaluation of China based on the universal risk model

Author

Listed:
  • Lu Chen

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Yue-cheng Huang

    (China University of Geosciences
    China University of Geosciences)

  • Rui-zhen Bai

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • An Chen

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences
    Henan Polytechnic University)

Abstract

A comprehensive understanding and scientific evaluation of natural disasters risk is not only the basis of disaster prevention and mitigation, but also the urgent needs of the economic and social sustainable development. Disaster risk evaluation index system in accordance with Chinese reality was constructed, which contains 5 second-class indicators and 28 third-class indicators; moreover, the universal risk evaluation model was designed combined with nonlinear damage evaluation method; then, the disaster risk of China’s 31 provinces was evaluated, as well as the urban risk ranking and risk map of 31 provinces were presented. The evaluation results can make us see the urban risk situation clearly and intuitively, which helps the related department to clearly focus on their work, as well as provides theoretical guidance for the national and local disaster prevention and mitigation planning.

Suggested Citation

  • Lu Chen & Yue-cheng Huang & Rui-zhen Bai & An Chen, 2017. "Regional disaster risk evaluation of China based on the universal risk model," 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. 89(2), pages 647-660, November.
    • Handle: RePEc:spr:nathaz:v:89:y:2017:i:2:d:10.1007_s11069-017-2984-2
    DOI: 10.1007/s11069-017-2984-2
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    References listed on IDEAS

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    1. Chao-feng Liu & Jing-yu Su & Wei Wang & Xiang-jun Zuo, 2014. "An observability–controllability model of urban earthquake disaster risk based on system periphery theory," 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. 73(2), pages 303-315, September.
    2. Mengya Li & Jun Wang & Xiaojing Sun, 2016. "Scenario-based risk framework selection and assessment model development for natural disasters: a case study of typhoon storm surges," 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. 80(3), pages 2037-2054, February.
    3. Mengya Li & Jun Wang & Xiaojing Sun, 2016. "Scenario-based risk framework selection and assessment model development for natural disasters: a case study of typhoon storm surges," 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. 80(3), pages 2037-2054, February.
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    Citations

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    Cited by:

    1. Cunrui Ma & Baohua Mao & Qi Xu & Guodong Hua & Sijia Zhang & Tong Zhang, 2018. "Multi-Depot Vehicle Routing Optimization Considering Energy Consumption for Hazardous Materials Transportation," Sustainability, MDPI, vol. 10(10), pages 1-21, September.
    2. Haoran Su & Chang Liu & Donghui Dai & Wenkai Chen & Zhen Zhang & Yaowu Wang, 2023. "Distribution Characteristics and Influencing Factors of the National Comprehensive Disaster-Reduction Demonstration Community in China," Land, MDPI, vol. 12(8), pages 1-30, August.
    3. Qiang Zou & Li Liao & Hui Qin, 2020. "Fast Comprehensive Flood Risk Assessment Based on Game Theory and Cloud Model Under Parallel Computation (P-GT-CM)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(5), pages 1625-1648, March.
    4. Kun Xu & Shuang Li & Jiao Liu & Cheng Lu & Guangzhe Xue & Zhengquan Xu & Chao He, 2022. "Evaluation Cloud Model of Spontaneous Combustion Fire Risk in Coal Mines by Fusing Interval Gray Number and DEMATEL," Sustainability, MDPI, vol. 14(23), pages 1-13, November.
    5. Ziyi Wang & Zengqiao Chen & Cuiping Ma & Ronald Wennersten & Qie Sun, 2022. "Nationwide Evaluation of Urban Energy System Resilience in China Using a Comprehensive Index Method," Sustainability, MDPI, vol. 14(4), pages 1-36, February.
    6. Jimei Li & Yunhui Wang & An Chen & Guanghui Wang & Xiaohui Yao & Tongtong Wang, 2023. "Construction and empirical testing of comprehensive risk evaluation methods from a multi-dimensional risk matrix perspective: taking specific types of natural disasters risk in China as an example," 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. 117(2), pages 1245-1271, June.

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