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.
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Acknowledgments
This work was supported by National Natural Science Foundation of China under Grant 71171115, granted from Qinglan Project in Jiangsu province (China). The authors are grateful to two anonymous referees for their helpful comments on earlier version of this article.
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Zhao, Y., Gong, Z., Wang, W. et al. The comprehensive risk evaluation on rainstorm and flood disaster losses in China mainland from 2004 to 2009: based on the triangular gray correlation theory. Nat Hazards 71, 1001–1016 (2014). https://doi.org/10.1007/s11069-013-0698-7
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DOI: https://doi.org/10.1007/s11069-013-0698-7