Title :
Towards applications of particle filters in wildfire spread simulation
Author :
Gu, Feng ; Hu, Xiaolin
Author_Institution :
Dept. of Comput. Sci., Georgia State Univ., Atlanta, GA, USA
Abstract :
Wildfire propagation is a complex process influenced by many factors. Simulation models of wildfire spread, such as DEVS-FIRE, are important tools for studying fire behavior. This paper presents how the sequential Monte Carlo methods, i.e., particle filters, can work together with DEVS-FIRE for better simulation and prediction of wildfire. We define an application framework of particle filters for the problem of wildfire spread using the DEVSFIRE model, and discuss several applications. A case study example is provided and preliminary results are presented.
Keywords :
Monte Carlo methods; disasters; fires; geophysics computing; particle filtering (numerical methods); DEVS-FIRE model; particle filters; sequential Monte Carlo method; wildfire prediction; wildfire propagation; wildfire spread simulation model; Computational modeling; Computer science; Fires; Fuels; Particle filters; Predictive models; Sampling methods; Signal processing algorithms; State estimation; Weather forecasting;
Conference_Titel :
Simulation Conference, 2008. WSC 2008. Winter
Conference_Location :
Austin, TX
Print_ISBN :
978-1-4244-2707-9
Electronic_ISBN :
978-1-4244-2708-6
DOI :
10.1109/WSC.2008.4736406
