• DocumentCode
    1996980
  • Title

    GIS-based risk assessment model for flood disaster in China

  • Author

    Ma, Guobin ; Zhang, Jing ; Jiang, Weiguo ; Liu, Jiafu ; Ma, Lanyan

  • Author_Institution
    MOCA/MOE, Beijing Normal Univ., Beijing, China
  • fYear
    2010
  • fDate
    18-20 June 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper has conducted the national-scale assessment of flood disaster risk in China based on the theory of natural disaster risks and by means of the powerful spatial analytic tool of GIS, as well as the normalization and analytic hierarchy process. The precipitation of the current day and last three days, topographic elevation, topographic standard deviation, network of rivers and lakes, population density and GDP density respectively were extracted as assessment factors and risk assessment model was built for the national-scale flood disasters, which is similar to the mode of weather forecast model. It was applied for a real-time flood event from 18th Jun. to 16th Sep 2009 on daily basis, and validated based on the official report of disaster data. The rate of correct assessment (i.e. the risks and disasters occurs) is above 65% for counties as the assessment unit and above 84% for prefecture-level cities as the assessment unit. The validation result reveals that GIS-based national scale risk assessment model conforms basically to the actual disaster data.
  • Keywords
    decision making; disasters; floods; geographic information systems; China; GDP density; GIS-based risk assessment model; analytic hierarchy process; flood disaster risk; lakes; national-scale assessment; population density; rivers; topographic elevation; topographic standard deviation; weather forecast model; Economic indicators; Floods; Geographic Information Systems; Lakes; Risk management; Rivers; Surfaces; flood disaster; geographic information system (GIS); risk assessment model;
  • 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.2010.5567758
  • Filename
    5567758