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Integrated risk zoning of drought and waterlogging disasters based on fuzzy comprehensive evaluation in Anhui Province,China
Authors:Zhongyi Sun  Jiquan Zhang  Qi Zhang  Yue Hu  Denghua Yan  Chunyi Wang
Institution:1. School of Environment, Northeast Normal University, Changchun, 130024, People’s Republic of China
2. Research Centre of Ecological Security and Environmental Disaster Early Warning, Changchun, 130024, Jilin Province, People’s Republic of China
3. Water Resources Department, China Institute of Water Resources and Hydropower Research, Beijing, 100044, People’s Republic of China
4. Chinese Academy of Meteorological Sciences, Beijing, 100081, China
Abstract:This study presents a methodology for risk analysis, assessment, combination, and regionalization of integrated drought and waterlogging disasters in Anhui Province, which is supported by geographical information systems (GIS) and technique of natural disaster risk assessment from the viewpoints of climatology, geography, disaster science, environmental science, and so on. Along with the global warming, the occurrences of water-related disasters become more frequent and serious. It is necessary to determine the mode of spatial distribution of water-related disaster risk. Based on the principle of natural disaster risk, natural conditions, and socioeconomic situation, drought and waterlogging disaster risk index, which combined hazard, exposure, vulnerability, and restorability, was developed by using combined weights, entropy, and fuzzy comprehensive evaluation method. Drought and waterlogging disaster risk zoning map was made out by using GIS spatial analysis technique and gridding GIS technique. It was used for comparing the relative risk of economic and life losses in different grids of Anhui Province. It can also be used to compare the situation of different levels of drought and waterlogging disaster combination risk in a similar place. The result shows that the northwestern and central parts of Anhui Province possess higher risk, while the southwestern and northeastern parts possess lower risk. The information obtained from statistical offices and remote sensing data in relation to results compiled were statistically evaluated. The results obtained from this study are specifically intended to support local and national governmental agencies on water-related disaster management.
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