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Typhoon Disaster Risk Assessment Based on Emergy Theory: A Case Study of Zhuhai City, Guangdong Province, China

Author

Listed:
  • Zhicheng Gao

    (School of Natural Resources Science and Technology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Rongjin Wan

    (School of Natural Resources Science and Technology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Qian Ye

    (State Key Lab of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China)

  • Weiguo Fan

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, Hebei, China)

  • Shihui Guo

    (State Key Lab of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, China)

  • Sergio Ulgiati

    (Department of Science and Technology, Parthenope University, 80133 Napoli, Italy
    School of Environment, Beijing Normal University, Beijing 100875, China)

  • Xiaobin Dong

    (School of Natural Resources Science and Technology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Joint Center for Global change and China Green Development, Beijing Normal University, Beijing 100875, China)

Abstract

Typhoons and cyclones are the most impacting and destructive natural disasters in the world. To address the shortcomings of a previous typhoon disaster risk assessment (for example, human factors were involved in determining weights by importance, and this affected the experimental results), an emergy method, which converts energy flows of different properties into the same solar energy basis for a convenient comparison, was used to assess the risk of regional typhoon disasters. Typhoon disaster-related data from 2017 were used to develop an index system including resilience, potential strength, and sensitivity which was in turn applied to assess typhoon disaster risks in Zhuhai City, Guangdong Province, China. The results showed that the spatial distribution of the typhoon disaster risks in Zhuhai significantly differed, with the highest risk in Xiangzhou district, the second highest risk in Doumen district, and the lowest risk in Jinwan district. In addition, improving the level of regional resilience can effectively reduce risks from typhoon disasters. The application of the emergy method in a typhoon disaster risk assessment may provide some theoretical support for national and regional governmental strategies for disaster prevention and reduction.

Suggested Citation

  • Zhicheng Gao & Rongjin Wan & Qian Ye & Weiguo Fan & Shihui Guo & Sergio Ulgiati & Xiaobin Dong, 2020. "Typhoon Disaster Risk Assessment Based on Emergy Theory: A Case Study of Zhuhai City, Guangdong Province, China," Sustainability, MDPI, vol. 12(10), pages 1-15, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:10:p:4212-:d:361062
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    References listed on IDEAS

    as
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    4. Brown, Mark T. & Ulgiati, Sergio, 2010. "Updated evaluation of exergy and emergy driving the geobiosphere: A review and refinement of the emergy baseline," Ecological Modelling, Elsevier, vol. 221(20), pages 2501-2508.
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    Cited by:

    1. Yanni Xiong & Changyou Li & Mengzhi Zou & Qian Xu, 2022. "Investigating into the Coupling and Coordination Relationship between Urban Resilience and Urbanization: A Case Study of Hunan Province, China," Sustainability, MDPI, vol. 14(10), pages 1-26, May.
    2. 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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