Research Article
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Year 2020, Volume: 6 Issue: 2, 87 - 95, 30.12.2020
https://doi.org/10.33904/ejfe.843889

Abstract

References

  • Anonymous 1. The area (ha) distribution of forest assets of FECs in Karacabey FED. Karacabey FED, Bursa. https://bursaobm.ogm.gov.tr/KaracabeyOIM/Lists/OrmanVarligi/AllItems.aspx (Access Date: 15 September 2020)
  • Akay, A.E., Şahin, H., 2019. Forest Fire Risk Mapping by using GIS Techniques and AHP Method: A Case Study in Bodrum (Turkey). European Journal of Forest Engineering, 5(1):25-35.
  • Akay, A.E., Erdoğan, A., 2017. GIS-based Multi-criteria Decision Analysis for Forest Fire Risk Mapping. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W4, 2017, 4th International GeoAdvances Workshop, Safranbolu, Karabuk, Turkey: October 14-15.
  • Akay, A.E., Wing, G.M., Sivrikaya, F., Sakar, D., 2012. A GIS-based decision support system for determining the shortest and safest route to forest fires: a case study in Mediterranean Region of Turkey, Environmental Monitoring and Assessment, 184(3):1391-1407.
  • Bilici, E., 2009. A Study on the Integration of Firebreaks and Fireline with Forest Roads Networks and It's Planning and Construction (A Case Study of Gallipoly National Park) Istanbul University. Faculty of Forestry Journal Series: A 59(2):86-102.
  • Carmel, Y., Paz, S., Jahashan, F., Shoshany, M., 2009. Assessing fire risk using Monte Carlo simulations of fire spread. Forest Ecol. Manag. 257(1):370-377.
  • Çanakçıoğlu, H., 1993. “Forest Protection”. İstanbul: Istanbul University Publications.
  • Çoban, H.O., Erdin, C., 2020. Forest fire risk assessment using GIS and AHP integration in Bucak Forest Enterprise, Turkey. Applied Ecology and Environmental Research, 18(1):1567-1583.
  • Ertugrul, M., 2005. The Situations of Forest Fires in the World and in Turkey. ZKU Bartın Faculty of Forestry Journal, 7(7):43-50.
  • Eskandari, S., 2017. A new approach for forest fire risk modeling using fuzzy AHP and GIS in Hyrcanian forests of Iran. Arabian Journal of Geosciences, 10(190): 1-13.
  • Jaiswal, R.K., Mukherjee, S., Raju, D.K., Saxena, R., 2002. Forest fire risk zone mapping from satellite imagery and GIS. International Journal of Applied Earth Observation and Geoinformation, 4(2002):1-10.
  • Kodandapani, N., Cochrane, M. A., Sukumar, R., 2009. Forest fire regimes and theirnecological effects in seasonally dry tropical ecosystems in the Western Ghats, India. – In: Cochrane, M. A. (ed.) Tropical Fire Ecology: Climate change, Land use and Ecosystem Dynamics. Springer Praxis Books, 335-354.
  • Kucuk O, Bilgili E., 2006. The conveyance of fire behavior characteristics into practice by using Geographical Information Systems (GIS): A Case Study in Kastamonu. Gazi University. Faculty of Forestry Journal, 6(2):262-273.
  • Lin, J., Sergio, R., 2009. A derivation of the statistical characteristics of forest fires. Ecological Modelling, 220:898-903.
  • Özden, Ü.H., 2008. Choosing primary school with Analytical Hierarchy Process. Marmara University, İ.İ.B.F. Journal, 24(1):299-320.
  • Saaty, T.L., 1977. A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3):234-281.
  • Sivrikaya, F., Akay, A. E., Oğuz, H., Yenilmez, N., 2011. Mapping Forest Fire Danger Zones Using GIS: A Case Study from Kahramanmaraş. 6th International Symposium on Ecology and Environmental Problems. 17-20 November, Antalya.
  • Vadrevu, K. P., Eaturu, A., Badarinath, K.V.S., 2010. Fire risk evaluation using multicriteria analysis-a case study. Environment Monitoring and Assessment, 166: 223-239.

Using GIS Techniques for Assessment of Accessible Forest Lands by Firefighting Teams Considering Fire Risk Degrees

Year 2020, Volume: 6 Issue: 2, 87 - 95, 30.12.2020
https://doi.org/10.33904/ejfe.843889

Abstract

To use the resources allocated for firefighting in an optimum way, it is important to reach fire sites within the critical response time (CRT) and determine regions with high fire risk. This study aimed to evaluate forests that can be reached within CRT using GIS techniques, regarding fire risk levels. The study area is selected from Yeniköy Forest Enterprise Chief, which is in Bursa Regional Directorate of Forestry and located in second-degree fire-sensitive zone. The accessible forests within CRT were determined using the "Network Analyst" method in ArcGIS 10.4 software. Then, a fire risk map was developed using the AHP (Analytic Hierarchy Process) tool (ExtAHP 2.0) in ArcGIS 10.4. The results showed that the firefighting team near the study area can reach 24.25% of forests within CRT for the second-degree fire-sensitive areas (30 minutes). Besides, it was determined that 46.86% of forests can be reached in 40 minutes and 84.31% in one hour. It was found that 85% of forests were in a very high and high fire risk zones. It was determined that 42% of forests that could not be reached within CRT was in a very high fire risk zones while 43.45% was in a high fire risk zone.

References

  • Anonymous 1. The area (ha) distribution of forest assets of FECs in Karacabey FED. Karacabey FED, Bursa. https://bursaobm.ogm.gov.tr/KaracabeyOIM/Lists/OrmanVarligi/AllItems.aspx (Access Date: 15 September 2020)
  • Akay, A.E., Şahin, H., 2019. Forest Fire Risk Mapping by using GIS Techniques and AHP Method: A Case Study in Bodrum (Turkey). European Journal of Forest Engineering, 5(1):25-35.
  • Akay, A.E., Erdoğan, A., 2017. GIS-based Multi-criteria Decision Analysis for Forest Fire Risk Mapping. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume IV-4/W4, 2017, 4th International GeoAdvances Workshop, Safranbolu, Karabuk, Turkey: October 14-15.
  • Akay, A.E., Wing, G.M., Sivrikaya, F., Sakar, D., 2012. A GIS-based decision support system for determining the shortest and safest route to forest fires: a case study in Mediterranean Region of Turkey, Environmental Monitoring and Assessment, 184(3):1391-1407.
  • Bilici, E., 2009. A Study on the Integration of Firebreaks and Fireline with Forest Roads Networks and It's Planning and Construction (A Case Study of Gallipoly National Park) Istanbul University. Faculty of Forestry Journal Series: A 59(2):86-102.
  • Carmel, Y., Paz, S., Jahashan, F., Shoshany, M., 2009. Assessing fire risk using Monte Carlo simulations of fire spread. Forest Ecol. Manag. 257(1):370-377.
  • Çanakçıoğlu, H., 1993. “Forest Protection”. İstanbul: Istanbul University Publications.
  • Çoban, H.O., Erdin, C., 2020. Forest fire risk assessment using GIS and AHP integration in Bucak Forest Enterprise, Turkey. Applied Ecology and Environmental Research, 18(1):1567-1583.
  • Ertugrul, M., 2005. The Situations of Forest Fires in the World and in Turkey. ZKU Bartın Faculty of Forestry Journal, 7(7):43-50.
  • Eskandari, S., 2017. A new approach for forest fire risk modeling using fuzzy AHP and GIS in Hyrcanian forests of Iran. Arabian Journal of Geosciences, 10(190): 1-13.
  • Jaiswal, R.K., Mukherjee, S., Raju, D.K., Saxena, R., 2002. Forest fire risk zone mapping from satellite imagery and GIS. International Journal of Applied Earth Observation and Geoinformation, 4(2002):1-10.
  • Kodandapani, N., Cochrane, M. A., Sukumar, R., 2009. Forest fire regimes and theirnecological effects in seasonally dry tropical ecosystems in the Western Ghats, India. – In: Cochrane, M. A. (ed.) Tropical Fire Ecology: Climate change, Land use and Ecosystem Dynamics. Springer Praxis Books, 335-354.
  • Kucuk O, Bilgili E., 2006. The conveyance of fire behavior characteristics into practice by using Geographical Information Systems (GIS): A Case Study in Kastamonu. Gazi University. Faculty of Forestry Journal, 6(2):262-273.
  • Lin, J., Sergio, R., 2009. A derivation of the statistical characteristics of forest fires. Ecological Modelling, 220:898-903.
  • Özden, Ü.H., 2008. Choosing primary school with Analytical Hierarchy Process. Marmara University, İ.İ.B.F. Journal, 24(1):299-320.
  • Saaty, T.L., 1977. A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3):234-281.
  • Sivrikaya, F., Akay, A. E., Oğuz, H., Yenilmez, N., 2011. Mapping Forest Fire Danger Zones Using GIS: A Case Study from Kahramanmaraş. 6th International Symposium on Ecology and Environmental Problems. 17-20 November, Antalya.
  • Vadrevu, K. P., Eaturu, A., Badarinath, K.V.S., 2010. Fire risk evaluation using multicriteria analysis-a case study. Environment Monitoring and Assessment, 166: 223-239.
There are 18 citations in total.

Details

Primary Language English
Subjects Engineering
Journal Section Research Articles
Authors

Abdullah Emin Akay 0000-0001-6558-9029

İnanç Taş 0000-0002-4504-6876

Publication Date December 30, 2020
Published in Issue Year 2020 Volume: 6 Issue: 2

Cite

APA Akay, A. E., & Taş, İ. (2020). Using GIS Techniques for Assessment of Accessible Forest Lands by Firefighting Teams Considering Fire Risk Degrees. European Journal of Forest Engineering, 6(2), 87-95. https://doi.org/10.33904/ejfe.843889

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