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China’s regional meteorological disaster loss analysis and evaluation based on grey cluster model

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Abstract

To evaluate the regional meteorological disaster loss of China, this paper analyzed the different types of meteorological disasters, including droughts, floods, tropical storms, snowstorms and hail disasters. Based on the analysis about Chinese geographical features, the historical characteristics of different meteorological disasters are analyzed. In particular, these meteorological disasters influence to agriculture production are discussed. According to the analysis of data from 2004 to 2010, we know that the distribution characteristics are very different about different disasters. Provinces like Heilongjiang, Liaoning, Jilin, Inner Mongolia, Gansu, Shanxi and Yunnan are serious affected areas of drought influence. And Anhui, Shandong, Jiangsu, Henan, Jiangxi, Hubei, Hunan, Guangxi, Sichuan and Heilongjiang are serious affected areas by floods and heavy rain. While Guangdong, Fujian, Zhejiang, Shanghai, Jiangsu and Shandong are mainly affected by tropical storms, Henan, Hebei, Hunan and Hubei are serious affected by snowstorms and hail disasters. Then, a novel method based on grey cluster model is constructed and combined with the regional meteorological disaster loss evaluation index system. A total of 31 provinces are considered to evaluate the integrated meteorological disaster losses. The results indicated that Beijing, Tianjin, Shanghai, Xizang, Qinghai and Ningxia belong to the lighter loss grey class. Jiangxi, Hubei, Hunan, Hainan, Sichuan and Gansu belong to the serious loss grey class. Other regions belong to the general loss grey class that the influence caused by meteorological disasters not better than the lighter loss grey class and not worst than the serious loss grey class.

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Acknowledgments

This work was supported by National Natural Science Foundation of China under Grant 70901041 and 71171113, Joint research project of National Natural Science Foundation of China and Royal Society of UK under Grant 71111130211, Doctoral Fund of Ministry of Education of China under Grant 20093218120032, 200802870020 and 20093218120033, The Humanistic and Social Science Youth Foundation of Ministry of Education of China under Grant 11YJC630032 and 12YJC630276, grant from Qinglan Project for excellent youth teacher in Jiangsu Province (China).

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Authors and Affiliations

  1. Institute of Grey System Studies, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, People’s Republic of China

    Naiming Xie & Sifeng Liu

  2. Department of Vehicle Engineering, Nanjing University of Technology, Nanjing, Jiangsu, People’s Republic of China

    Jianghui Xin

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  1. Naiming Xie
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  2. Jianghui Xin
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  3. Sifeng Liu
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Correspondence to Naiming Xie.

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Xie, N., Xin, J. & Liu, S. China’s regional meteorological disaster loss analysis and evaluation based on grey cluster model. Nat Hazards 71, 1067–1089 (2014). https://doi.org/10.1007/s11069-013-0662-6

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  • DOI: https://doi.org/10.1007/s11069-013-0662-6

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