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Wildfire Likelihood’s Elements: A Literature Review

Author

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  • Mario Mhawej

    (National Center for Remote Sensing, National Council for Scientific Research (CNRS), Riad al Soloh, Beirut 1107 2260, Lebanon
    Department of Geography, St Joseph University, Damascus Street, Mar Mickael, Beirut 1104 2020, Lebanon)

  • Ghaleb Faour

    (National Center for Remote Sensing, National Council for Scientific Research (CNRS), Riad al Soloh, Beirut 1107 2260, Lebanon)

  • Jocelyne Adjizian-Gerard

    (Department of Geography, St Joseph University, Damascus Street, Mar Mickael, Beirut 1104 2020, Lebanon)

Abstract

Wildfires occur in different climatic zones, forest cover types and eras. Wildfire or forest fire has always shaped the landscape. Different methodologies and indexes have emerged to determine the likelihood of wildfire, commonly confused with the wildfire hazard. However, none of these are universal or portable. In this paper, we have gone through several articles, projects and books. The aim was to identify factors related to the ignition of a wildfire. Consequently, 28 factors were presented and categorized into climatic, topographic, in-situ , historical and anthropogenic factors. It is the first step in building a generalized, acceptable and portable method to determine the wildfire risk. Its creation is strongly related to the prevention and better assessment of this phenomenon.

Suggested Citation

  • Mario Mhawej & Ghaleb Faour & Jocelyne Adjizian-Gerard, 2015. "Wildfire Likelihood’s Elements: A Literature Review," Challenges, MDPI, vol. 6(2), pages 1-12, December.
    • Handle: RePEc:gam:jchals:v:6:y:2015:i:2:p:282-293:d:60177
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    References listed on IDEAS

    as
    1. Shafran, Aric P., 2008. "Risk externalities and the problem of wildfire risk," Journal of Urban Economics, Elsevier, vol. 64(2), pages 488-495, September.
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    Cited by:

    1. Baïle, Rachel & Muzy, Jean-François & Silvani, Xavier, 2021. "Multifractal point processes and the spatial distribution of wildfires in French Mediterranean regions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 568(C).
    2. Naderpour, Mohsen & Rizeei, Hossein Mojaddadi & Khakzad, Nima & Pradhan, Biswajeet, 2019. "Forest fire induced Natech risk assessment: A survey of geospatial technologies," Reliability Engineering and System Safety, Elsevier, vol. 191(C).
    3. Polash Banerjee, 2022. "MODIS-FIRMS and ground-truthing-based wildfire likelihood mapping of Sikkim Himalaya using machine learning algorithms," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 110(2), pages 899-935, January.
    4. Maria-Monika Metallinou & Torgrim Log, 2018. "Cold Climate Structural Fire Danger Rating System?," Challenges, MDPI, vol. 9(1), pages 1-15, March.

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