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The impact of dynamic wind flow behavior on forest fire spread using cellular automata: Application to the watershed BOUKHALEF (Morocco)

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  • Jellouli, Omar
  • Bernoussi, Abdes Samed

Abstract

Modeling the forest fire phenomena represents one of the most challenging and difficult problems, which need further investigations. Many research works have tackled this issue by developing simulation models in order to investigate the impact of climate change on fire spread behavior. In our previous work, a forest fire spread model has been introduced. The developed model takes into account some parameters that affect this phenomenon, such as topography, land use, nature and density of vegetation, humidity and wind by only considering uniform wind direction and speed. The work presented in this paper provides an improvement of this model for being integrated in real-sitting scenarios. In fact, a model of wind flow has been proposed. It is able to determine accurately the wind direction and speed according to the topography and land use. The proposed model was evaluated using dataset from a region in the north of Morocco, and results are reported to show the impact of the dynamic behavior of the wind on fire propagation.

Suggested Citation

  • Jellouli, Omar & Bernoussi, Abdes Samed, 2022. "The impact of dynamic wind flow behavior on forest fire spread using cellular automata: Application to the watershed BOUKHALEF (Morocco)," Ecological Modelling, Elsevier, vol. 468(C).
    • Handle: RePEc:eee:ecomod:v:468:y:2022:i:c:s0304380022000606
    DOI: 10.1016/j.ecolmodel.2022.109938
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    References listed on IDEAS

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    1. O. Jellouli & A. Bernoussi & M. Mâatouk & M. Amharref, 2016. "Forest fire modelling using cellular automata: application to the watershed Oued Laou (Morocco)," Mathematical and Computer Modelling of Dynamical Systems, Taylor & Francis Journals, vol. 22(5), pages 493-507, September.
    2. Mark A. Cochrane, 2003. "Fire science for rainforests," Nature, Nature, vol. 421(6926), pages 913-919, February.
    3. Ager, Alan A. & Barros, Ana M.G. & Houtman, Rachel & Seli, Rob & Day, Michelle A., 2020. "Modelling the effect of accelerated forest management on long-term wildfire activity," Ecological Modelling, Elsevier, vol. 421(C).
    4. Maciel, Everton A. & Martins, Valeria F. & de Paula, Mateus D. & Huth, Andreas & Guilherme, Frederico A.G. & Fischer, Rico & Giles, André & Barbosa, Reinaldo I. & Cavassan, Osmar & Martins, Fernando R, 2021. "Defaunation and changes in climate and fire frequency have synergistic effects on aboveground biomass loss in the brazilian savanna," Ecological Modelling, Elsevier, vol. 454(C).
    5. Klaus Lichtenegger & Wilhelm Schappacher, 2009. "Phase Transition In A Stochastic Forest Fire Model And Effects Of The Definition Of Neighborhood," International Journal of Modern Physics C (IJMPC), World Scientific Publishing Co. Pte. Ltd., vol. 20(08), pages 1247-1269.
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