Modelling of wildland fire spread using empirical approach analysing the effect of moisture, wind, and slope

Zhang, Enya, Bradford, Tracy Ellen, Liu, Weiming orcid iconORCID: 0000-0002-5525-5479 and Asimakopoulou, Eleni orcid iconORCID: 0000-0001-5644-1372 (2024) Modelling of wildland fire spread using empirical approach analysing the effect of moisture, wind, and slope. Journal of Physics: Conference Series, 2885 (1). ISSN 1742-6596

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Official URL: https://doi.org/10.1088/1742-6596/2885/1/012073

Abstract

Due to rapid climate change, wildfires are an increasing risk to human life and economy. To prevent their occurrence and reduce their intensity, computational methods have been developed to study and simulate wildfire spread. Medium scale experiments and thermogravimetric analysis is conducted for Pinus Sylvestris Needle. Results from numerical analysis using level set model were validated using experimental data. And a parametric study was performed to study the effect of fuel moisture fraction, wind and slope to surface vegetation fire behaviour. Numerical data, including temperature and rate of spread, are analysed and limitations of model is also discussed.


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