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- W2390419441 abstract "With data of precipitation from 1971 to 2008 in local weather stations,and disaster data,geographical landscape and socio-economic background from 1983 to 2008 of 62 counties in Zhejiang Province,we performed dominance analysis methods,two weft graphics cluster,data envelop analysis,cluster analysis and hierarchy analysis,etc,to divide Zhejiang Province into five geographical districts based on these data,and then analyzed the relationship between the rainstorm disaster and hazard factors,geographical landscape,socio-economic background.The high-resolution assessment model of rainstorm-causing disaster intensity was established on the basis of the analyses,and the early warning index was calculated through the model.The early warning index of rainstorm-causing disaster of each geographical district is divided into 5 grades,with Grade 1 the highest.It is defined that Grade 1 are those that cause casualties and serious property losses which may lead to ultra-serious disaster;Grade 2 are those that cause very serious disasters;Grade 3 are those that likely cause severe damage;Grade 4 are for minor damage,and Grade 5 corresponds to no disasters.Tests show that the early warning index of rainstorm-causing disaster can reflect the actual disaster situations,and it can be applied to rainstorm disaster grade forecasting and disaster assessment." @default.
- W2390419441 created "2016-06-24" @default.
- W2390419441 creator A5012057755 @default.
- W2390419441 date "2013-01-01" @default.
- W2390419441 modified "2023-09-24" @default.
- W2390419441 title "GIS-based high-resolution early warning index of rainstorm disaster" @default.
- W2390419441 hasPublicationYear "2013" @default.
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