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
Link To Document :
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