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Forest fire modelling using cellular automata: application to the watershed Oued Laou (Morocco)

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  • O. Jellouli
  • A. Bernoussi
  • M. Mâatouk
  • M. Amharref

Abstract

In this work, we consider the problem of modelling the phenomenon of forest fires using the cellular automata approach. The proposed model takes into account the main parameters that affect this phenomenon like nature and density of vegetation, humidity, wind, and altitude. We developed a decision-aided tool with JAVA which allows to analyse and format several hybrid collected data (satellite images, Digital Terrain Model) relatively to each studied area. The generated scenarios of forest fire spread in the study area will be considered as a guide for strategies in control and prevention of forest fires. As an application, we consider the watershed Oued Laou (Morocco).

Suggested Citation

  • 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.
    • Handle: RePEc:taf:nmcmxx:v:22:y:2016:i:5:p:493-507
    DOI: 10.1080/13873954.2016.1204321
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    Cited by:

    1. 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).
    2. Byari, M. & Bernoussi, A. & Jellouli, O. & Ouardouz, M. & Amharref, M., 2022. "Multi-scale 3D cellular automata modeling: Application to wildland fire spread," Chaos, Solitons & Fractals, Elsevier, vol. 164(C).

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