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Determining the most effective way of intervention in forest fires with fuzzy logic modeling : the case of Antalya/Türkiye

Author

Listed:
  • Ahmet Şahiner

    (Süleyman Demirel University)

  • Temel Ermiş

    (Eskisehir Osmangazi University)

  • Mete Hakan Karakoyun

    (Süleyman Demirel University)

  • Muhammad Wasim Awan

    (University of Azad Jammu and Kashmir Muzaffarabad)

Abstract

Forest fires in various parts of the world cause irreversible environmental and economic losses due to the increase in global warming. Determining the risk levels of forest fires is very important in terms of minimizing the negative effects of this fire disaster. In this context, the aim of this study is to mathematically model forest fires from January 2020 to January 2021 in Antalya/Türkiye region with fuzzy logic approach. The model has been created with the climatic and topographic characteristics of the region and the fuzzy logic approach. The results obtained from the fuzzy logic approach have been compared with the real data, and it has been shown that the results are 84 $$\%$$ % compatible in this model. As a result, with the risk assessments to be made thanks to this model, the most effective intervention will be made in a current forest fire. What we mean by the most effective intervention here is to determine which vehicle group will be used according to the degree of risk of the fire. As a result of all these, a serious contribution will be made to overcome the struggle against a current forest fire disaster and to ensure the sustainability of nature.

Suggested Citation

  • Ahmet Şahiner & Temel Ermiş & Mete Hakan Karakoyun & Muhammad Wasim Awan, 2023. "Determining the most effective way of intervention in forest fires with fuzzy logic modeling : the case of Antalya/Türkiye," 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. 116(2), pages 2269-2282, March.
    • Handle: RePEc:spr:nathaz:v:116:y:2023:i:2:d:10.1007_s11069-022-05763-4
    DOI: 10.1007/s11069-022-05763-4
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