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The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation theory

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  • Yue Zhao
  • Zaiwu Gong
  • Wenhao Wang
  • Kai Luo

Abstract

In this paper, we introduce the gray correlation method of risk evaluation in meteorological disaster losses based on historical disaster data in China (mainland) and apply the improved gray relational analysis model (the triangular gray relational model) to the risk evaluation of rainstorm and flood disaster losses. In addition, we divide the risk grade standards of rainstorm and flood disaster losses according to 186 rainstorm and flood disaster data of four optimization indexes (disaster area, suffered population, collapsed houses, and direct economic losses), evaluate the extent of dynamic rainstorm and flood disaster losses in 31 provinces of China (Hong Kong, Macao, and Taiwan exclusive) comprehensively, and draw China’s zoning map of rainstorm and flood disaster from 2004 to 2009. The method provides reasonable and effective references for national disaster preventions which can be used in other researches focused on risk evaluation of meteorological disaster losses. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Yue Zhao & Zaiwu Gong & Wenhao Wang & Kai Luo, 2014. "The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation 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. 71(2), pages 1001-1016, March.
    • Handle: RePEc:spr:nathaz:v:71:y:2014:i:2:p:1001-1016
    DOI: 10.1007/s11069-013-0698-7
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    1. Ju-Liang Jin & Yi-Ming Wei & Le-Le Zou & Li Liu & Juan Fu, 2012. "Risk evaluation of China’s natural disaster systems: an approach based on triangular fuzzy numbers and stochastic simulation," 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(1), pages 129-139, May.
    2. Lu Hao & Xiaoyu Zhang & Shoudong Liu, 2012. "Risk assessment to China’s agricultural drought disaster in county unit," 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. 61(2), pages 785-801, March.
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    Cited by:

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    2. Fan Yang & Suwen Xiong & Jiangang Ou & Ziyu Zhao & Ting Lei, 2022. "Human Settlement Resilience Zoning and Optimizing Strategies for River-Network Cities under Flood Risk Management Objectives: Taking Yueyang City as an Example," Sustainability, MDPI, vol. 14(15), pages 1-22, August.
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    5. Hongwu Tang & Hao Cao & Saiyu Yuan & Yang Xiao & Chenyu Jiang & Carlo Gualtieri, 2020. "A Numerical Study of Hydrodynamic Processes and Flood Mitigation in a Large River-lake System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(12), pages 3739-3760, September.
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    7. Zaohong Liu & Zhangzejun Jiang & Chen Xu & Guanjun Cai & Jian Zhan, 2021. "Assessment of provincial waterlogging risk based on entropy weight TOPSIS–PCA method," 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. 108(2), pages 1545-1567, September.

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