• 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