4.6 Article

Integrated risk zoning of drought and waterlogging disasters based on fuzzy comprehensive evaluation in Anhui Province, China

期刊

NATURAL HAZARDS
卷 71, 期 3, 页码 1639-1657

出版社

SPRINGER
DOI: 10.1007/s11069-013-0971-9

关键词

Integrated risk zoning; Drought and waterlogging disaster; Fuzzy comprehensive evaluation; Anhui

资金

  1. National Key Technology R&D Program of China [2011BAD32B00-04]
  2. National Grand Fundamental Research 973 Program of China [2010CB951102]
  3. National Natural Science Foundation of China [41071326, 40871236, 41201550]
  4. National Scientific Research Special Project of Public sectors (Agriculture) of China [200903041]

向作者/读者索取更多资源

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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