• DocumentCode
    2709148
  • Title

    GIS-based regional prediction of landslides in Wanzhou County, the three Gorges Reservoir area

  • Author

    Wu, Caiyan ; Wang, Qing ; Qiao, Jianping

  • Author_Institution
    Sch. of Environ. & Resources, Southwest Univ. of Sci. & Technol., Mianyang, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents a geo-statistical method to study the spatial relationship between landslides and their inner-factors on the regional scale in order to predict the regional susceptibility of landslides. The approach is based on digital databases, along with such methods as statistics, spatial analysis based on Geographic Information System, and interactive mapping. The prediction map of study area is created by overlaying the different spatial contribution map of each factor combined with the prediction model by the technology of GIS. In this prediction map, the authors classify the susceptibility of the landslides into 4 levels including high, medium, low and safe. The approach can be used not only to analyze the general characteristics of such a relationship, but also to depict its spatial distribution and development. The research results can also provide a sound basis for the landuse and town planning in the Three Gorges Reservoir area.
  • Keywords
    geographic information systems; geomorphology; interactive systems; land use planning; statistical analysis; China; GIS-based regional landslide prediction; Three Gorges Reservoir area; Wanzhou County; digital database; geographic information system; geostatistical method; interactive mapping; land use planning; regional susceptibility; spatial analysis; spatial contribution map; spatial distribution; spatial relationship; town planning; Correlation; Databases; Geographic Information Systems; Geology; Hazards; Reservoirs; Terrain factors; Geographical Information System (GIS); contribution rate; landslide; regional prediction;
  • 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.2011.5980865
  • Filename
    5980865