Journal
INTERNATIONAL JOURNAL OF WILDLAND FIRE
Volume 25, Issue 11, Pages 1181-1192Publisher
CSIRO PUBLISHING
DOI: 10.1071/WF15150
Keywords
computational cost reduction; model reduction; physical model; POD
Categories
Funding
- European Project AF3 - Advanced Forest Fire Fighting. FP7 THEME [SEC-2013.4.1-6, 607276]
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Physical models of wildfires are of particular interest in fire behaviour research and have applications in firefighting, rescue and evacuation. However, physical models present a challenge as a result of the large computational resources they often require, especially for the analysis of large areas or when multiple scenarios are investigated. The objective of this paper is to explore the opportunity to reduce the computation time requested by physical wildfire models through application of a model order reduction technique, specifically the proper orthogonal decomposition (POD) technique. POD is here applied to a simple one-dimensional physical model. The full physical model for illustration of the concept is first tested with experimental data to check its ability to simulate wildfire behaviour; it is then reduced using the POD technique. It is shown that the reduced model is able to simulate fire propagation with only small deviations in results in comparison with the physical model (similar to 6.4% deviation in the rate of spread, ROS) and a drastic reduction (similar to 85%) in computational cost. The results demonstrate the advantages of applying effective reduction techniques to create new generations of fire models based on reduced physical approaches. The potential applicability of POD to more complex models is also discussed.
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