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

ŞAHİNER A., ERMİŞ T., Karakoyun M. H., Awan M. W.

Natural Hazards, vol.116, no.2, pp.2269-2282, 2023 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 116 Issue: 2
  • Publication Date: 2023
  • Doi Number: 10.1007/s11069-022-05763-4
  • Journal Name: Natural Hazards
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, IBZ Online, PASCAL, Aerospace Database, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Communication Abstracts, Environment Index, Geobase, INSPEC, Metadex, PAIS International, Pollution Abstracts, Veterinary Science Database, DIALNET, Civil Engineering Abstracts
  • Page Numbers: pp.2269-2282
  • Keywords: Forest fire, Risk level of forest fire, Fuzzy logic modeling
  • Süleyman Demirel University Affiliated: Yes


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.