Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region
Yazarlar (2)
Prof. Dr. Fatih SİVRİKAYA Kastamonu Üniversitesi, Türkiye
Prof. Dr. Ömer KÜÇÜK Kastamonu Üniversitesi, Türkiye
| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | Ecological Informatics (Q2) | ||
| Dergi ISSN | 1574-9541 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 05-2022 |
| Cilt / Sayı / Sayfa | 68 / 1 / 1–15 | DOI | 10.1016/j.ecoinf.2021.101537 |
| Makale Linki | http://dx.doi.org/10.1016/j.ecoinf.2021.101537 | ||
| UAK Araştırma Alanları |
Orman Entomolojisi ve Orman Koruma
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| Özet |
| This study proposed an integrated approach to generating a forest fire risk map. It used geographic information system–based multiple criteria decision analysis (GIS-MCDA) with the analytic hierarchy process (AHP) and a statistical index (SI). The research was carried out at the Mersin Regional Directorate of Forestry (RDF) in the eastern Mediterranean region of Turkey. Four main criteria, the forest structure, topography, environment, and climate, and 16 subcriteria were used to create the fire risk map. The weight of each criterion was determined using the AHP. The AHP model revealed that environmental factors are the most influential in igniting forest fires, followed by the forest structure. In order to evaluate the results, 990 historical forest fire ignition points were obtained from the Mersin RDF. According to the forest fire risk map, more than 85% of the ignition points were in areas classified as having an extreme … |
| Anahtar Kelimeler |
| Inverse distance weighted | MCDA | Pinus brutia | ROC | Topography | Turkey |
Science Direct
Modeling forest fire risk based on GIS-based analytical hierarchy process and statistical analysis in Mediterranean region
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 135 |
| Scopus | 154 |
| Google Scholar | 214 |
| Google Scholar | 19 |