DocumentCode
2709053
Title
Agriculture risk assessment of typhoon disaster based on GIS and entropy weight theory: A case study of Fujian, China
Author
Ye, Jinyu ; Zhang, Mingfeng ; Lin, Guangfa ; Yu, Shan
Author_Institution
Coll. of Geogr. Sci., Fujian Normal Univ., Fuzhou, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
6
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.
Keywords
agriculture; atmospheric techniques; disasters; geographic information systems; risk analysis; storms; ArcGIS technique; China; Fujian province; agricultural disaster insurance policy; agriculture production damage analysis; agriculture risk assessment analysis; agriculture risk indicator system; decision support system; disaster system theory; entropy weight theory; hazard-formative environment; spatial distribution; typhoon disaster assessment; Agriculture; Cities and towns; Entropy; Indexes; Resistance; Typhoons; Entropy Weight Theory; GIS; agriculture risk; typhoon disaster;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5980859
Filename
5980859
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