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Evaluation of Comprehensive Emergency Capacity to Urban Flood Disaster: An Example from Zhengzhou City in Henan Province, China

Author

Listed:
  • Xianghai Li

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China)

  • Mengjie Li

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China
    Emergency Management School, Henan Polytechnic University, Jiaozuo 454000, China)

  • Kaikai Cui

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China
    Emergency Management School, Henan Polytechnic University, Jiaozuo 454000, China)

  • Tao Lu

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China)

  • Yanli Xie

    (Library, Henan Polytechnic University, Jiaozuo 454000, China)

  • Delin Liu

    (Safety and Emergency Management Research Center, Henan Polytechnic University, Jiaozuo 454000, China
    Emergency Management School, Henan Polytechnic University, Jiaozuo 454000, China)

Abstract

In the context of climate change and urbanization, increasing flood disasters leads to severe losses and impacts on urban inhabitants. In order to enhance urban capacity to cope with floods and reduce losses, the comprehensive emergency-response capacity to flood disaster (CERCF) was studied in Zhengzhou City, which is seriously affected by floods. Firstly, the evaluation index system of flood emergency capacity was constructed from three aspects, including pre-disaster prevention capacity, during-disaster disposal capacity and post-disaster recovery capacity. Secondly, the weight of each index was calculated by the combination of the entropy weight method and the coefficient of variation method, and the evaluation model was established by the comprehensive index method. Thirdly, the CERCF of Zhengzhou City was classified into three grades by the Jenks natural-breakpoint classification method. Finally, the contribution model was used to reveal the contribution factors of flood emergency capacity in Zhengzhou city. The following beneficial conclusions were drawn: (1) The overall CERCF of Zhengzhou City was on a low level. The proportions of the study area at low, medium and high levels were 58.33%, 33.33% and 8.34%, respectively. Spatially, the CERCF was high in central regions and low in in the west and east parts of Zhengzhou City. (2) It was found that PDPC and PDRC made the greatest contribution, while DDDC has a relatively low contribution degree.

Suggested Citation

  • Xianghai Li & Mengjie Li & Kaikai Cui & Tao Lu & Yanli Xie & Delin Liu, 2022. "Evaluation of Comprehensive Emergency Capacity to Urban Flood Disaster: An Example from Zhengzhou City in Henan Province, China," Sustainability, MDPI, vol. 14(21), pages 1-16, October.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:21:p:13710-:d:950408
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    References listed on IDEAS

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    1. Enliang Guo & Jiquan Zhang & Xuehui Ren & Qi Zhang & Zhongyi Sun, 2014. "Integrated risk assessment of flood disaster based on improved set pair analysis and the variable fuzzy set theory in central Liaoning Province, 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. 74(2), pages 947-965, November.
    2. 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.
    3. Hong Lv & Xinjian Guan & Yu Meng, 2020. "Comprehensive evaluation of urban flood-bearing risks based on combined compound fuzzy matter-element and entropy weight 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. 103(2), pages 1823-1841, September.
    4. Irfan Ahmad Rana & Jayant K. Routray, 2018. "Integrated methodology for flood risk assessment and application in urban communities of Pakistan," 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. 91(1), pages 239-266, March.
    5. Lu, Qing-Chang, 2018. "Modeling network resilience of rail transit under operational incidents," Transportation Research Part A: Policy and Practice, Elsevier, vol. 117(C), pages 227-237.
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    Cited by:

    1. Lu Liu & Jingjing Pei & Huiquan Wang & Yun Luo, 2023. "The Evaluation and Obstacle Analysis of Urban Safety Resilience Based on Multi-Factor Perspective in Beijing," Land, MDPI, vol. 12(10), pages 1-29, October.
    2. Yongling Zhang & Miao Zhou & Nana Kong & Xin Li & Xiaobing Zhou, 2022. "Evaluation of Emergency Response Capacity of Urban Pluvial Flooding Public Service Based on Scenario Simulation," IJERPH, MDPI, vol. 19(24), pages 1-16, December.

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