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
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