Computing wildfire behaviour metrics from CFD simulation data
Document typeConference lecture
PublisherInternational Association of Wildland Fire
Rights accessOpen Access
In this article, we demonstrate a new post-processing methodology which can be used to analyse CFD wildfire simulation outputs in a model-independent manner. CFD models produce a great deal of quantitative output but require additional post-processing to calculate commonly used wildfire behaviour metrics. Such post-processing has so far been model specific. Our method takes advantage of the 3D renderings that are a common output from such models and provides a means of calculating important fire metrics such as rate of spread and flame height using image processing techniques. This approach can be applied similarly to different models and to real world fire behaviour datasets, thus providing a new framework for model validation. Furthermore, obtained information is not limited to average values over the complete domain but spatially and temporally explicit metric distributions are provided. This feature supports posterior statistical analyses, ultimately contributing to more detailed and rigorous fire behaviour studies.
CitationValero, M. [et al.]. Computing wildfire behaviour metrics from CFD simulation data. A: International Fire Behaviour and Fuels Conference. "Proceedings for the 6th International Fire Behavior and Fuels Conference: April 29-May 3, 2019, Marseilles, France". Missoula, MT: International Association of Wildland Fire, 2019, p. 1-6.