Spherical Fuzzy AHP and Spherical Fuzzy TOPSIS-Based Goal Programming for Forest Fire Resource Allocation of Kastamonu Province
Öz
Aim of study: The study aims to assess the risk of wildfires in Kastamonu to develop a resource allocation plan through an optimization approach for strategic resource allocation in firefighting.
Area of study: The total forest area in Kastamonu was 876314 hectares. The region around the Ilgaz Mountains, which are in the inland areas away from the coastline, was found to be vulnerable to fire risk.
Material and method: Four major criteria and twelve sub-criteria that affect fire occurrence were assessed using SF-AHP. The weights were shortlisted using SF-TOPSIS. After determining the fire-vulnerable regions, resource allocation was done using goal programming.
Main results: Proximity to power lines was found to be the most important factor affecting the forest fire risk, with a weight of 13.5%, followed by humidity levels with a weight of 12.6%. Human factors and meteorological factors played a crucial role in determining the fire risk. The results revealed that the highest fire risk occurred in the Taşköprü district.
Research highlights: This study contributed to the literature with a new approach in which fuzzy-based risk analysis and goal programming models were used for the first time.
Anahtar Kelimeler
Kaynakça
- Abdo, H. G., Almohamad, H., Al Dughairi, A. A. & Al-Mutiry, M. (2022). GIS-based frequency ratio and analytic hierarchy process for forest fire susceptibility mapping in the western region of Syria. Sustainability, 14(8), 4668.
- Abedi Gheshlaghi, H., Feizizadeh, B. & Blaschke, T. (2020). GIS-based forest fire risk mapping using the analytical network process and fuzzy logic. Journal of Environmental Planning and Management, 63(3), 481-499.
- Alkayış, M. H., Karslıoğlu, A. & Onur, M. İ. (2020). Muğla ili Menteşe yöresi orman yangını risk potansiyeli haritasının coğrafi bilgi sistemleri ile belirlenmesi. Geomatik, 7(1), 10-16.
- Asori, M., Emmanuel, D. & Dumedah, G. (2020). Wildfire hazard and risk modelling in the northern regions of Ghana using GIS-based multi-criteria decision making analysis. Journal of Environment and Earth Science, 10(11).
- Bashiri, M., Nikzad, E., Eberhard, A., Hearne, J. & Oliveira, F. (2021). A two stage stochastic programming for asset protection routing and a solution algorithm based on the Progressive Hedging algorithm. Omega, 104, 102480.
- Brown, G. G., Koyak, R. A., Salmerón, J. & Scholz, Z. (2021). Optimizing prepositioning of equipment and personnel for Los Angeles County Fire Department to fight wildland fires. INFORMS Journal on Applied Analytics, 51(6), 435-449.
- Coban, H. & Erdin, C. (2020). Forest fire risk assessment using GIS and AHP integration in Bucak forest enterprise, Turkey. Applied Ecology and Environmental Research, 18(1).
- Dağdeviren, M. & Eren, T. (2001). Tedarikçi firma seçiminde analitik hiyerarşi prosesi ve 0-1 hedef programlama yöntemlerinin kullanılması. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 16(1), 41-52.
- Ergün, D. (2006). Hedef programlama ile üretim planlaması. Yüksek Lisans Tezi, Hacettepe Üniversitesi, Fen Bilimleri Enstitüsü, Ankara, Türkiye.
- Ersoy, İ., Ünsal, E. & Gürsoy, Ö. (2025). A multi-criteria forest fire danger assessment system on GIS using literature-based model and analytical hierarchy process model for mediterranean coast of Manavgat, Türkiye. Sustainability, 17(5), 1971.