• DocumentCode
    2543690
  • Title

    Prediction of high-risk areas in wildland fires

  • Author

    Saeedian, Parisa ; Moran, Bill ; Tolhurst, K. ; Halgamuge, Malka N.

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Universit of Melbourne, Parkville, VIC, Australia
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    399
  • Lastpage
    403
  • Abstract
    Fire growth models are considered with an emphasis on FARSITE and PHOENIX RapidFire. The prediction of spotfires in PHOENIX is also presented. Spotting can burnout areas ahead of the main fire and never join up with it. Early detection of areas exposed to spotting can limit damage and help fire managers choose the best available strategy. We propose a new method to predict high risk areas in front of a main fire by considering the spotting function used in PHOENIX and a Gaussian distribution for spot fires. This method can be used to minimise bushfire damage.
  • Keywords
    Gaussian distribution; disasters; fires; FARSITE; Gaussian distribution; PHOENIX RapidFire; bushfire damage; fre growth model; high-risk area; spot fires; wildland fire; Educational institutions; Fires; Shape; Variable speed drives;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation for Sustainability (ICIAFs), 2010 5th International Conference on
  • Conference_Location
    Colombo
  • Print_ISBN
    978-1-4244-8549-9
  • Type

    conf

  • DOI
    10.1109/ICIAFS.2010.5715694
  • Filename
    5715694