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
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;
Conference_Titel :
Information and Automation for Sustainability (ICIAFs), 2010 5th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4244-8549-9
DOI :
10.1109/ICIAFS.2010.5715694