The Comprehensive Analysis of Flood Disasters Losses in China from 2000 to 2010

Lei Zhang, Jing Geng*, Chunbo Fan

*此作品的通讯作者

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摘要

Flood disasters possess the features of high frequency; widen involving, severe damages and so on. An understanding of flood disaster impact including social and economic aspects is becoming a significant factor to find out a comprehensive and participatory approach for long-term disaster risk reduction and management. On the basis of the flood disasters losses in Chinese provinces, municipalities directly under the central government, affected population, disaster area of crops and direct economic loss were utilized as indicators to probe into the flood disaster impact. Thus based on general statistical method and correlation analysis method, this paper analyzed the tendency of flood disasters losses over time on the angle of above aspects, calculated the correlation between affected population, disaster area of crops and direct economic losses, and eventually the empirical correlation was built. The results showed that the ratio of the maximum direct economic loss to the minimum one was the highest among that of affected population and disaster area of crops. Moreover, the impact of flood disaster on Chinese economy showed a decrease tendency, but the extreme weather may still cause the occurrence of national flood disasters leading to serious losses. After analyzing, the conclusion that Hunan, Hubei, Sichuan, Anhui, Henan and Guangxi are areas suffering the most serious flood disasters in China.

源语言英语
文章编号012023
期刊IOP Conference Series: Materials Science and Engineering
466
1
DOI
出版状态已出版 - 28 12月 2018
活动2018 2nd Annual International Conference on Cloud Technology and Communication Engineering, CTCE 2018 - Nanjing, 中国
期限: 17 8月 201819 8月 2018

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Zhang, L., Geng, J., & Fan, C. (2018). The Comprehensive Analysis of Flood Disasters Losses in China from 2000 to 2010. IOP Conference Series: Materials Science and Engineering, 466(1), 文章 012023. https://doi.org/10.1088/1757-899X/466/1/012023