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Modeling of Wind Flow and Its Impact on Forest Fire Spread: Cellular Automata Approach

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Cellular Automata (ACRI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 9863))

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Abstract

In this paper, we propose a model of wind flow and its impact on the forest fire spread by using Cellular Automata (CA) approach. The wind model determines the wind flow and speed according to the topography of the studied area and climate data. While in a previous work we took into consideration only uniform wind direction and speed, in this one we have improved the forest fire model which takes into account both the physical attributes (Topography, land use, nature and density of vegetation) and the climatic parameters (humidity, wind) by considering wind flow. As an application we consider a region in the North of Morocco.

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Acknowledgments

This work has been supported by the project PPR2 OGI-Env and the International network TDS, Academie Hassan II of sciences and Techniques.

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Authors and Affiliations

  1. GAT Team, Faculty of Sciences and Techniques, B.P. 416, Tangier, Morocco

    Omar Jellouli, Abdessamed Bernoussi & Mina Amharref

  2. MMC Team, Faculty of Sciences and Techniques, B.P. 416, Tangier, Morocco

    Mustapha Ouardouz

Authors
  1. Omar Jellouli
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  2. Abdessamed Bernoussi
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  3. Mina Amharref
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  4. Mustapha Ouardouz
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Corresponding author

Correspondence to Omar Jellouli .

Editor information

Editors and Affiliations

  1. University of Perpignan, Perpignan, France

    Samira El Yacoubi

  2. AGH University of Science and Techn, Kraków, Poland

    Jaroslaw Wąs

  3. Department of Computer Science, University of Milano-Bicocca, Milan, Italy

    Stefania Bandini

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Jellouli, O., Bernoussi, A., Amharref, M., Ouardouz, M. (2016). Modeling of Wind Flow and Its Impact on Forest Fire Spread: Cellular Automata Approach. In: El Yacoubi, S., Wąs, J., Bandini, S. (eds) Cellular Automata. ACRI 2016. Lecture Notes in Computer Science(), vol 9863. Springer, Cham. https://doi.org/10.1007/978-3-319-44365-2_27

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  • DOI: https://doi.org/10.1007/978-3-319-44365-2_27

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44364-5

  • Online ISBN: 978-3-319-44365-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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