Forest fire risk analysis using GIS; Example of Geyve
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Abstract
Forests are ecosystems that have a very important place in terms of the continuity of life on earth. Forests are subject to the danger of fire for many different reasons such as accidents, negligence and climate changes. Although it is not possible to completely prevent forest fires, predicting forest fire risk areas and taking precautions are possible. Geographical Information System (GIS) is an important support system used in the production of risk maps. In this study, the Geyve district of Sakarya province, which has a lot of forest area, was examined in terms of fire hazard. Risk values were assigned according to their fire potential with parameters. The condition with the highest probability of causing a fire was given the value “5 - Very High Risk”, while the condition with the lowest probability of causing a fire was given the value “1 - Very Low Risk”. The maps produced from the parameters with these risk values were predominantly overlapped and the risk map was obtained. As a result of the analyses, the forest fire risk map was produced according to the five risk factors. It was determined that 0.05% was high risk, 9.03% was risky, 38.85% was medium risk, 48.45% was low risk and 3.62% was risk-free region in the study area.
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References
Gai, C., Weng, W., & Yuan, H. (2011). GIS-based Forest Fire Risk Assessment and Mapping. 2011 Fourth International Joint Conference on Computational Sciences and Optimization, Kunming, Yunnan China.
CSB, (2019). Forest Fires - Environmental Indicators, https://cevreselgostergeler.csb.gov.tr/orman-yanginlari-i-85850. [Access Date: 12.09.2021]
OGM, (2022) https://www.ogm.gov.tr/tr/e-kutuphane/kitaplik/yangin-yonetim-planlari [Access Date: 12.01.2022]
Küçük, Ö., & Bilgili, E. (2006). Application of Fire Behavior with the Help of Geographic Information Systems Transferring. Kastamonu Example. Journal of Gazi University Faculty of Forestry, 6(2), 262-273.
Adıgüzel, F., Kaya, E., & Çerçioğlu, M. (2016). Analysis of Forest Fires with GIS and Remote Sensing Data Based on Topographical Features: The Example of Ibecik Forest Management Chief. TÜCAUM International Geography Symposium, Ankara, Turkey.
Ahmad, F., & Goparaju, L. (2017). Geospatial Assessment of Forest in Jharkhand (India). Indian Journal of Science and Fires Technology, Vol 10(21).
Karabulut, M., Karakoç, A., Gürbüz, M., & Kızılelma, Y. (2013). Determination of Forest Fire Risk Areas Using Geographical Information Systems in Başkonuş Mountain (Kahramanmaraş), The Journal of International Social Research, Vol 6(24).
Geyve, (2018). Geyve's Geography, Municipality of Geyve, Sakarya, [Access Date: 16.09.2021], https://www.geyve.bel.tr/geyve/cografya
Erten, E., Kurgun, V., & Musaoğlu, N. (2005). Forest Fire Risk Zone Mapping by Using Satellite Imagery and GIS, TMMOB Chamber of Surveying and Cadastre Engineers 10th Turkey Scientific and Technical Mapping Congress, Ankara, Turkey.
Joaquim, G. S., Bahaaeddin, A., & Josep, R. C. (2007). Remote Sensing Analysis to Detect Fire Risk Locations, GéoCongrès-2007, Québec, Canada.
Jaiswal, K., Mukherjee, S., Mukherjee, K. D., & Saxena, R. (2002). Forest Fire Risk Zone Mapping from Satellite Imagery and GIS, International Journal of Applied Earth Observation and Geoinformation, 4, 1-10.
Özşahin, E. (2013). Forest Fire Susceptibility Analysis Using GIS and AHP; The Case of Antakya Forestry Operation Directorate, Route Educational and Social Science Journal, Volume 1(3), October 2014.
Eron, Z. (1988). Forest Fires and Fighting Methods. Forestry Research Institute Publications, Ankara.
Bingöl, B. (2017). Determination of Forest Fire Risk Areas in Burdur Province Using Geographical Information Systems. Turkish Journal of Forest Science 1(2), 169-182.