Assessment of the Casualty Risk of Multiple Meteorological Hazards in China

Wei Xu, Li Zhuo, Jing Zheng, Yi Ge, Zhihui Gu and Yugang Tian
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Wei Xu: Key Laboratory of Environmental Change and Natural Disasters of Ministry of Education, Beijing Normal University, Beijing 100875, China
Li Zhuo: Guangdong Provincial Key Laboratory of Urbanization and Geo-simulation, School of Geography and Planning, Sun Yat-Sen University, Guangzhou 510275, China
Jing Zheng: Guangdong Climate Center, Guangzhou 510080, China
Yi Ge: State Key Laboratory of Pollution Control & Resource Re-use, School of the Environment, Nanjing University, Nanjing 210093, China
Zhihui Gu: College of Architecture & Urban Planning, Shenzhen University, Shenzhen 518060, China
Yugang Tian: School of Information Engineering, China University of Geosciences, Wuhan 430074, China

IJERPH, 2016, vol. 13, issue 2, 1-12

Abstract: A study of the frequency, intensity, and risk of extreme climatic events or natural hazards is important for assessing the impacts of climate change. Many models have been developed to assess the risk of multiple hazards, however, most of the existing approaches can only model the relative levels of risk. This paper reports the development of a method for the quantitative assessment of the risk of multiple hazards based on information diffusion. This method was used to assess the risks of loss of human lives from 11 types of meteorological hazards in China at the prefectural and provincial levels. Risk curves of multiple hazards were obtained for each province and the risks of 10-year, 20-year, 50-year, and 100-year return periods were mapped. The results show that the provinces (municipalities, autonomous regions) in southeastern China are at higher risk of multiple meteorological hazards as a result of their geographical location and topography. The results of this study can be used as references for the management of meteorological disasters in China. The model can be used to quantitatively calculate the risks of casualty, direct economic losses, building collapse, and agricultural losses for any hazards at different spatial scales.

Keywords: meteorological hazard; exceedance probability; risk of multiple hazards; casualty; information diffusion; China (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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