{"title":"Agriculture risk assessment of typhoon disaster based on GIS and entropy weight theory: A case study of Fujian, China","authors":"Jinyu Ye, Mingfeng Zhang, Guangfa Lin, Shan Yu","doi":"10.1109/GEOINFORMATICS.2011.5980859","DOIUrl":null,"url":null,"abstract":"According to disaster system theory, the paper establishes the agriculture risk indicators system of typhoon disaster from four aspects: disaster-causing factors, hazard-formative environment, hazard-affected bodies and disaster resistant ability. It uses entropy weight theory based comprehensive evaluation to build the assessment model. Then, it implements the agriculture risk assessment of typhoon disaster in ArcGIS, and carries out the spatial distribution map of the agriculture risk of typhoon disaster for study area. The result shows that it can reflect the seriousness extent of the agriculture risk of typhoon disaster and its regional differences, which will prevent or reduce the agriculture production damage caused by typhoon, and provide decision support for the local management to formulate relief measures and agricultural disaster insurance policy.","PeriodicalId":413886,"journal":{"name":"2011 19th International Conference on Geoinformatics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 19th International Conference on Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GEOINFORMATICS.2011.5980859","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
According to disaster system theory, the paper establishes the agriculture risk indicators system of typhoon disaster from four aspects: disaster-causing factors, hazard-formative environment, hazard-affected bodies and disaster resistant ability. It uses entropy weight theory based comprehensive evaluation to build the assessment model. Then, it implements the agriculture risk assessment of typhoon disaster in ArcGIS, and carries out the spatial distribution map of the agriculture risk of typhoon disaster for study area. The result shows that it can reflect the seriousness extent of the agriculture risk of typhoon disaster and its regional differences, which will prevent or reduce the agriculture production damage caused by typhoon, and provide decision support for the local management to formulate relief measures and agricultural disaster insurance policy.