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Quantitative Assessment of Natural Disaster Coping Capacity: An Application for Typhoons

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  • Ting Wang

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Linsheng Yang

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shaohong Wu

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Jiangbo Gao

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

  • Binggan Wei

    (Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China)

Abstract

At present, natural disaster coping capabilities are quantitively represented as high, moderate, or low. These classifications, which are described as the results of relative grades, have failed to reveal the specific grades of disaster coping capacity. Therefore, an assessment method of natural disaster coping capacity, which is attempted to quantify the natural disaster coping capacity as disaster grades, was proposed in this study. First, an indicator system consisting of disaster reduction ability index, disaster resilience ability index, and disaster relief ability index was established. The index values were defined as disaster grades according to the historical disaster-related data and information on the equipment and infrastructure for disaster prevention. Second, the weights assigned to these indicators were assessed by using the analytic hierarchy process (AHP). Then, the back propagation (BP) neural network was used to examine the indicator weights. Finally, the disaster coping capacity was estimated by using the fuzzy comprehensive evaluation model. The assessment result was characterized as disaster grade. Cangnan county was chosen as a case study for the assessment of typhoon coping capacity by the proposed method. The results showed that the coping capacity of the county was prepared to deal with 12–13 intensity grades of typhoon. The assessment carried out using the proposed method accurately reflected the typhoon coping capacity of Cangnan. Moreover, the index values of disaster reduction ability, disaster resilience, and disaster relief ability revealed the advantages and limitations of typhoon coping capacity. This suggests that natural disaster coping capacity can be quantitatively assessed by the proposed method.

Suggested Citation

  • Ting Wang & Linsheng Yang & Shaohong Wu & Jiangbo Gao & Binggan Wei, 2020. "Quantitative Assessment of Natural Disaster Coping Capacity: An Application for Typhoons," Sustainability, MDPI, vol. 12(15), pages 1-16, July.
  • Handle: RePEc:gam:jsusta:v:12:y:2020:i:15:p:5949-:d:388757
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    References listed on IDEAS

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    2. Fangtian Liu & Erqi Xu & Hongqi Zhang, 2024. "Assessing typhoon disaster mitigation capacity and its uncertainty analysis in Hainan, 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. 120(11), pages 9401-9420, September.
    3. Ao Zhang & Hao Yang & Xiang Wu & Xiaowei Luo & Jingqi Gao, 2021. "Development and Validation of the Coping Capacity Measurement Scale of Public Health Emergencies in China," IJERPH, MDPI, vol. 19(1), pages 1-16, December.
    4. Juan Fan & Guangwei Huang, 2023. "Are Women More Vulnerable to Flooding Than Men in an Aging Japanese Society?," IJERPH, MDPI, vol. 20(2), pages 1-11, January.

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