TY - EJOU
AU - A.R.Ervilha,
AU - F.A.Sousa,
AU - J.M.C.Pereira,
AU - J.C.F.Pereira,
TI - Faster Than Real Time Stochastic Fire Spread Simulations
T2 - Computer Modeling in Engineering \& Sciences
PY - 2012
VL - 89
IS - 5
SN - 1526-1506
AB - Faster than real time stochastic fire spread predictions are reported using a Non-Intrusive Spectral Projection (NISP) method based on Polynomial Chaos expansion and Graphic Processing Units (GPUs). The fireLib BEHAVE model together with a raster surface fire growth algorithm was implemented using the Compute Unified Device Architecture (CUDA) programming language. The uncertainty generated by the four random variables considered (wind speed, wind direction, fuel moisture, and fuel load) is quantified in the stochastic solution. Stochastic simulation of an idealized vegetation fire in a realistic complex terrain is obtained with speed-ups as high as 176 when compared to Central Processing Unit (CPU) and two orders of magnitude faster than real time fire propagation. The results include the fire front location and its error bar area, based on a 95% confidence interval, as well as temporal Probability Density Functions at selected points that quantify the uncertainty on the fire spread.
KW - Faster than real time
KW - Graphic Processing Units
KW - Non-intrusive spectral projection
KW - Uncertainty quantification
DO - 10.3970/cmes.2012.089.361