• DocumentCode
    2714030
  • Title

    Multi-scale coupling and application of natural disaster risk analysis

  • Author

    Liu, Yaolong ; Chen, Zhenlou ; Wang, Jun ; Ye, Mingwu ; Xu, Shiyuan

  • Author_Institution
    Key Lab. of Geographic Inf. Sci., East China Normal Univ., Shanghai, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Differences in spatial scale appear in expression of natural disaster risk. The large-scale region spans up to global level, regional (continental) level, watershed level of major rivers, the natural regional and national level. Grasping the principle of “good order, reasonable distribution”, the expression of disaster risk map focuses on regional risk general trends and macroeconomic situation. The meso-scale regions contain natural areas, sub-districts, the provinces, cities, regions of administrative division. Risk zoning services are for the regional long-term disaster prevention and mitigation planning. It also provides accurate background parameters for small-scale disaster risk assessment. The small-scale regions include natural state, the district, county, town, village, streets and communities of the administrative divisions. The risk characterization of affected areas is to improve the accuracy of vulnerability assessment. It is also provide technical methods for disaster risk assessment.
  • Keywords
    disasters; geographic information systems; public administration; risk analysis; disaster risk map; macroeconomic situation; mesoscale regions; mitigation planning; multiscale coupling; natural disaster risk analysis; regional long-term disaster prevention; regional risk general trends; risk zoning services; rivers; small-scale disaster risk assessment; watershed level; Accuracy; Cities and towns; Communities; Floods; Risk management; Storms; Typhoons; Multi-scale; coupling & application; natural disaster; risk analysis;
  • 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.2011.5981151
  • Filename
    5981151