Spatial and temporal changes of meteorological disasters in China during 1950–2013

Yinghui Guan, Fenli Zheng (), Peng Zhang and Chao Qin

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2015, vol. 75, issue 3, 2607-2623

Abstract: Flood, drought, hail, low temperature and frost disasters from low temperature and frost (DLTF), and snowstorm are the five main meteorological disasters (MDs) in China. Based on the collection of historical documents during 1950–2013 and official records between 2012 and 2013, this paper analyzed the temporal trends of affected area induced by MDs during 1950–2013 and the spatiotemporal characteristics of disaster frequency in recent 2 years in China. Besides, the direct economic losses and deaths caused by MDs were further discussed at a provincial level. Results showed that the affected area of MDs, especially flood, drought and DLTF significantly increased during the past 60 years. Flood was the most frequent disaster in China during 2012 and 2013, followed by hail. Spatial patterns of disaster frequency showed that there were more frequent floods in the middle and lower reaches of the Yellow River and the Yangtze River basin, droughts in central and southwest China, hails in north, northwest and southwest China, DLTFs and snowstorms in north, northwest China and individual areas in south China. However, the economic losses caused by MDs were higher in economically developed provinces, and the deaths were higher in mountain regions. Additionally, flood was the major disasters type that contributing to the most losses in most regions of China. These results play an important theoretical guiding role in meteorological disaster prediction, disaster prevention and reduction in the future. Copyright Springer Science+Business Media Dordrecht 2015

Keywords: Meteorological disasters; China; Frequency; Economic losses; Deaths (search for similar items in EconPapers)
Date: 2015
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11069-014-1446-3

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