Assessment of the monthly forest fire danger potential using GIS-based analytic hierarchy process in Southwest Türkiye
Yazarlar (3)
Dr. Öğr. Üyesi Merih Göltaş Istanbul University-Cerrahpasa, Türkiye
Prof. Dr. Hamit Ayberk Istanbul University-Cerrahpasa, Türkiye
Prof. Dr. Ömer KÜÇÜK Kastamonu Üniversitesi, Türkiye
Makale Türü Açık Erişim Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
Dergi Adı Sumarski List (Q4)
Dergi ISSN 0373-1332 Dergi Bilgileri (2024)
Dergi Tarandığı Indeksler SCI-Expanded
Makale Dili İngilizce Basım Tarihi 02-2024
Kabul Tarihi – Yayınlanma Tarihi 12-02-2024
Cilt / Sayı / Sayfa 148 / 1 / 59–68 DOI 10.31298/sl.148.1-2.6
Makale Linki https://hrcak.srce.hr/clanak/453953
UAK Araştırma Alanları
Orman Entomolojisi ve Koruma
Özet
Every year, more than ten thousand hectares of forest in Türkiye are affected by fires. The majority of forest fires occurs in the southern part of Türkiye, where conifer forests and maquis prone to fire are abundant. Forest fires can lead to the loss of human lives, properties and natural resources. Knowledge of Forest Fire Danger Potential (FFDP) is critical to protect lives, properties, and natural resources from fire damage. We modeled and mapped FFDP with a GIS-based Analytic Hierarchy Process. The FFDP model was developed based on nine environmental factors that affect fire behavior, including maximum temperature, precipitation, wind speed, species composition, development stage, canopy cover, slope, aspect, and elevation. FFDP was mapped and thoroughly assessed. The results showed that FFDP was significantly correlated with maximum temperature, precipitation, and species composition. We found that the FFDP differed considerably on a monthly basis. Forest lands in the study area of 2% in May, 50% in June, 65% in July, 61% in August, 25% in September, and 0% in October belonged to the extreme danger class. For model evaluation, we compared fire locations from 2008 to 2018 with those on the FFDP maps and then controlled the actual number of fires in each category and its fire danger class. The dominant danger classes of the study area according to the months were: extreme class in June, July, and August (50%, 65% and 61%, respectively), high class in May and September (74% and 68%, respectively) and moderate class in October (82%). This danger classes were more affected by fires. We observed that FFDP …
Anahtar Kelimeler
Fire hazard | Fire model | MCDA | Türkiye | Wildfires
BM Sürdürülebilir Kalkınma Amaçları
Atıf Sayıları
Web of Science 1
Google Scholar 1
Assessment of the monthly forest fire danger potential using GIS-based analytic hierarchy process in Southwest Türkiye

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