• DocumentCode
    576211
  • Title

    Research and application of Snowbelt flood risk early-warning technology - A case study in Ili State, Xinjiang Province

  • Author

    Wen, Qi ; Nie, Juan ; Li, Lingling ; Liu, Liang ; Zhang, Baojun

  • Author_Institution
    Key Lab. of Disaster Reduction & Emergency Response Eng., Nat. Disaster Reduction Center of China, Beijing, China
  • fYear
    2012
  • fDate
    22-27 July 2012
  • Firstpage
    879
  • Lastpage
    882
  • Abstract
    This paper introduces a method of Snowbelt flood risk early-warning in Xinjiang Province. Firstly, snow water equivalent is inversed from snow depth of AMSR-E data. Then the analysis points above threshold of catchment area and upstream of residential area are selected. The instantaneous flow value Qpand maximum allowable flow Qt of analysis points are calculated. The points with ratio value of Qpand Qt greater than threshold are implemented inundation analysis using two-dimensional unsteady flow model, and flood risk areas are acquired. This method was used in Ili State, Xinjiang Province for Snowbelt flood risk early-warning in 2010 and has taken effect. However, Snow water equivalent retrieval model, Calculation model of instantaneous flow value and maximum allowable flow still need further improvement.
  • Keywords
    floods; hydrological techniques; snow; AMSR-E data; Ili state; Xinjiang province; catchment area threshold; instantaneous flow value; maximum allowable flow; residential area upstream; snow water; snowbelt flood risk early-warning technology; Electromagnetic heating; Floods; Microwave measurements; Microwave radiometry; Microwave theory and techniques; Rivers; Snow; AMSRE; Snowbelt flood; Xinjiang Province; early-warning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
  • Conference_Location
    Munich
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4673-1160-1
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2012.6351420
  • Filename
    6351420