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China’s regional rainstorm floods disaster evaluation based on grey incidence multiple-attribute decision model

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  • Yuanyuan He
  • Zaiwu Gong

Abstract

This paper deals with the problem of the estimation of rainstorm floods disaster. Based on the relevant historical disaster data of Yearbook of Meteorological Disasters in China (2005–2010), the initial disaster data of 31 provinces, municipalities and autonomous regions in mainland China (Hong Kong, Macao and Taiwan excluded) are processed into evaluation indices values. And then, the incidence degrees of disaster data are calculated. The disaster situation of rainstorm floods disaster for each region in mainland China from 2004 to 2009 is estimated by applied the grey incidence decision model of the dynamic multiple attribute. Simultaneously, the comprehensive quantitative assessment of the rainstorm and flood disaster of each region in mainland China nearly 6 years is conducted. According to the assessment results of 2004–2009 torrential rain and flood disaster in Chinese mainland, the level division of disaster loss is investigated. And the disaster loss of mainland China’s 31 provinces, municipalities and autonomous regions is divided into five levels in which the national flood disaster situation zoning maps are constructed. The results demonstrate that the evaluation method of rainstorm floods disaster is practical and effective. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Yuanyuan He & Zaiwu Gong, 2014. "China’s regional rainstorm floods disaster evaluation based on grey incidence multiple-attribute decision 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. 71(2), pages 1125-1144, March.
    • Handle: RePEc:spr:nathaz:v:71:y:2014:i:2:p:1125-1144
    DOI: 10.1007/s11069-013-0655-5
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    References listed on IDEAS

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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.
    3. Yong Shi, 2013. "Population vulnerability assessment based on scenario simulation of rainstorm-induced waterlogging: a case study of Xuhui District, Shanghai City," 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. 66(2), pages 1189-1203, March.
    4. Jui-Sheng Chou & Kuo-Hsin Yang & Min-Yuan Cheng & Wan-Ting Tu, 2013. "Identification and assessment of heavy rainfall–induced disaster potentials in Taipei City," 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. 66(2), pages 167-190, March.
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