DocumentCode :
1994803
Title :
Study and application of landslide disaster refinement forecast system in district level based on GIS
Author :
Xu, Yongjin ; Yang, Shiqi ; Tang, Yunhui ; Gao, Yanghua ; Du, Qin
Author_Institution :
Sch. of Geogr. Sci., Southwest Univ., Chongqing, China
fYear :
2010
fDate :
18-20 June 2010
Firstpage :
1
Lastpage :
4
Abstract :
Landslide is one of the most serious geological disasters, and the most effective way to prevent Landslide disaster is forecast. In this paper, landslide disaster regionalization model induced by effective precipitation is used through analyzing in-depth landslide disaster risk rating regionalization models, and implemented landslide disaster refinement forecast system in district level based on GIS secondary development approach. The main function of system is to achieve the result of landslide disaster risk rating forecast and landslide disaster information management. The forecasting results obtained by the system can provide a scientific basis for the local government departments such as planning measures on prevention and mitigation disaster. While the forecasting results are also published to the public, which can help the public take response timely and reduce losses.
Keywords :
atmospheric precipitation; disasters; geographic information systems; geomorphology; geophysics computing; GIS secondary development approach; WebGIS; district level; effective precipitation; geological disasters; landslide disaster information management; landslide disaster refinement forecast system; landslide disaster risk rating forecast; landslide disaster risk rating regionalization models; local government departments; Biological system modeling; Geographic Information Systems; Geology; Predictive models; Terrain factors; Weather forecasting; Database; GIS; Landslide; Model forecast; WebGIS;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoinformatics, 2010 18th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-7301-4
Type :
conf
DOI :
10.1109/GEOINFORMATICS.2010.5567657
Filename :
5567657
Link To Document :
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