DocumentCode :
2712366
Title :
Landslide vulnerability evaluation: A case study from Sichuan, China
Author :
Liao, Ting ; Hu, Deyong ; Li, Xiaoxuan ; Chen, Yangsiqi
Author_Institution :
Coll. of Resource Environ. & Tourism, Capital Normal Univ., Beijing, China
fYear :
2011
fDate :
24-26 June 2011
Firstpage :
1
Lastpage :
4
Abstract :
Selecting Sichuan Province as the study area, setting rainfall-induced shallow landslide hazard for the research objectives, choosing slope, fault zone, rivers, lithology, soil type and vegetation as the main evaluation factors of the environmental vulnerability assessment. Based on the landslides disaster database since 5.12 Earthquake in Sichuan Province, the weights of the evaluation factors are determined. Producing 2008-2010 environmental vulnerability assessment maps in Sichuan Province Using Analytic Hierarchy Process with the GIS software, and the Spatial resolution of which is 250 meters. The risk of the environmental vulnerability assessment maps are divided into five levels: Slight(I), mild(II), moderate(III), high(IV) and the highest (V) risk areas. From this study, we conclude that vulnerability is with temporal and spatial distribution, and it can be quantified effectively using AHP model.
Keywords :
disasters; geographic information systems; geomorphology; hazards; AD 2008 to 2010; China; GIS software; Sichuan; analytic hierarchy process; environmental vulnerability assessment maps; evaluation factors; fault zone; high risk level; highest risk level; landslide vulnerability evaluation; lithology; mild risk level; moderate risk level; rainfall-induced shallow landslide hazard; rivers; slight risk level; soil type; spatial resolution; vegetation; Databases; Hazards; Reliability; Rocks; Soil; Terrain factors; Analytic Hierarchy Process; environmental vulnerability assessment; rainfall-induced shallow landslide hazard;
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.2011.5981061
Filename :
5981061
Link To Document :
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