Abstract
The ability of firefighting vehicles and staff to reach a fire area as quickly as possible is critical in fighting against forest fires. In this study, a Geographical Information System-based decision support system was developed to assist fire managers in determining the fastest and the safest or more reliable access routes from firefighting headquarters to fire areas. The decision support system was tested in the Kahramanmaras Forestry Regional Directoratein the Mediterranean region of Turkey. The study area consisted of forested lands which had been classified according to fire sensitivity. The fire response routing simulations considered firefighting teams located in 20 firefighting headquarter locations. The road network, the locations of the firefighting headquarters, and possible fire locations were mapped for simulation analysis. In alternative application simulations, inaccessible roads which might be closed due to fire or other reasons were indicated in the network analysis so that the optimum route was not only the fastest but also the safest and most reliable path. The selection of which firefighting headquarters to use was evaluated by considering critical response time to potential fire areas based on fire sensitivity levels. Results indicated that new firefighting headquarters should be established in the region in order to provide sufficient firefighting response to all forested lands. In addition, building new fire access roads and increasing the design speed on current roads could also increase firefighting response capabilities within the study area.
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References
Akay, A. E., Erdas, O., Kanat, M., & Tutus, A. (2007). Post-fire salvage logging for fire-killed Brutian Pine (Pinus brutia) Trees. Journal of Applied Sciences, 7(3), 402–406.
Akay, A. E., Erdas, O., & Karas, I. R. (2006a). Using GIS and optimization techniques in selecting forest road alignment with minimum sediment yield. First Remote Sensing and GIS Symposium, 27–29 November, ITU, Istanbul, p. 10.
Akay, A. E., Erdas, O., Reis, M., & Yuksel, A. (2008). Estimating sediment yield from a forest road network by using a sediment prediction model and GIS techniques. Building and Environment, 43(5), 687–695.
Akay, A. E., & Sakar, D. (2009). Using GIS based decision supporting system in determining optimum path that provides the transportation to fire zone at the shortest time. The Camber of Turkish Engineers and Architectures. The Congress of Geographic Information Systems. 02–06 November. Izmir, Turkey.
Akay, A. E., Sessions, J., Bettinger, P., Toupin, R., & Eklund, A. (2006b). Evaluating the salvage value of fire-killed Timber by helicopter-effects of time since fire and yarding distance. Western Journal of Applied Forestry, 21(2), 102–107.
Akay, A. E., Sivrikaya, F., & Sakar, D. (2010). Evaluating the efficiency of fire helicopter located in Arsuz-Antakya in firefighting activities. The 1st International Turkey & Japan Environment and Forestry Symposium. 2–5 November, Trabzon, Turkey.
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.
Bonazountas, M., Kallidromitou, D., Kassomenos, P., & Passas, N. (2007). A decision support system for managing forest fire casualties. Journal of Environmental Management, 84(4), 412–418.
Burgan, R. E., Klaver, R. W., & Klaver, J. M. (1998). Fuel models and fire potential from satellite and surface observations. International Journal of Wildland Fire, 8(3), 159–170.
CFE (2008). The chamber of forest engineers’ commission report on forest fire in serik and tasagil forest enterprise directorates of Antalya Forest Regional Directorate on July 31st–August 4th 2008. The Chamber of Forest Engineers. Ankara, p. 9.
Demir, M., Kucukosmanoglu, A., Hasdemir, M., Ozturk, T., & Acar, H. H. (2009). Assessment of forest roads and firebreaks in Turkey. African Journal of Biotechnology, 8(18), 4553–4561.
Dimopoulou, M., & Giannikos, I. (2004). Towards an integrated framework for forest fire control. European Journal of Operational Research, 152, 476–486.
Ertugrul, M. (2005). The situations of forest fires in the world and in Turkey. ZKU Bartin Faculty of Forestry Journal, 7(7), 43–50.
GDF (2008). Fire action plan. General Directorate of Forestry. Kahramanmaras Forest Regional Directorate, Kahramanmaras, p. 106.
Gendreau, M., Laporte, G., & Semet, F. (2001). A dynamic model and parallel tabu search heuristic for real-time ambulance relocation. Parallel Computing, 27, 1641–1653.
Ghiani, G., Guerriero, F., Laporte, G., Musmanno, R. (2003). Real-time vehicle routing: Solution concepts, algorithms and parallel computing strategies. European Journal of Operational Research, 151, 1–11.
Guido, R., Van derr Werf, J. T., Randerson, G., James Collatz, L., Giglio, P. S., & Kasibhatla, A. F. (2004). Continental-scale partitioning of fire emissions during the 1997–2001 El Nino/La Nina period. Science, 303, 73–76.
Gumusay, M. U., & Sahin, K. (2009). Visualization of forest fires interactively on the internet. Scientific Research and Essay, 4(11), 1163–1174.
Ichoua, S., Gendreau, M., & Potvin, J. Y. (2000). Diversion issues in real-time vehicle dispatching. Transportation Science, 34, 426–435.
Keenan, P. (2008). Modelling vehicle routing in GIS. Operational Research, 8(3), 201–218.
Keramitsoglou, I., Kiranoudis, C. T., Sarimveis, H., & Sifakis, N. (2004). A multidisciplinary decision support system for forest fire crisis management. Environmental Management, 33(2), 212–225.
Kiser, J., Solmie, D., Kellogg, L., & Wing, M. G. (2005). Efficiencies of traditional and digital measurement technologies for forest operations. Western Journal of Applied Forestry, 20(2), 138–143.
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.
Kucuk, O., Bilgili, E., & Durmaz, B. D. (2005). Importance of fuel maps in determination of fire potential. Süleyman Demirel University. Faculty of Forestry Journal, A(1), 104–116.
Kucuk, O., & Unal, S. (2005). Determination of fire sensitivity degree: A case study in Tasköprü State Forest Enterprise. Kafkas University. Faculty of Forestry Journal, 6(1–2), 28–34.
Manussaridis, Z., Mamaloukas, Ch., & Spartalis, S. (2007). A VRS dimension framework for effective DSS design. Applied Mathematical Sciences, 1(42), 2079–2090.
Sakar, D. (2010). Determining the optimum route providing the fastest transportation to the fire areas by using GIS based decision support system. MSc Thesis. KSU, Faculty of Forestry, Kahramanmaras. Turkey, p. 81.
Sampson, R. N., Atkinson, R. D., & Lewis, J. W. (2000). Mapping wildfire hazards and risks. Food Product Press, 10 Alice Street, Binghamton, NY 13904–1580 USA, p. 343.
Sivrikaya, F., Keles, S., & Cakir, G. (2007). Spatial distribution and temporal change of carbon storage in timber biomass of two different forest management units. Environmental Monitoring and Assessment, 132, 429–438.
Tarantilis, C., & Kiranoudis, C. T. (2002). Using a spatial decision support system for solving the vehicle routing problem. Information and Management, 39, 359–375.
Wing, M. G., Eklund, A., & Sessions, J. (2010). Applying LiDAR technology for tree measurements in burned landscapes. International Journal of Wildland Fire, 19, 104–114.
Wing, M. G., & Tynon, J.F (2008). Revisiting the spatial analysis of crime in National Forests. Journal of Forestry, 106(2), 91–99.
Yucel, M. (1998). Computing fire sensitivity of forest regions. The Journal of Forest Engineering, 7, 22–25.
Yuksel, A., Akay, A. E., & Gundogan, R. (2008). Using ASTER imagery in land use/cover classification of Eastern Mediterranean landscapes according to CORINE land cover project. Sensors, 2008(8), 1237–1251.
Zhan, F. B. (1997). Three fastest shortest path algorithms on real road networks: Data structures and procedures. Journal of Geographic Information and Decision Analysis, 1, 70–82.
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Akay, A.E., Wing, M.G., Sivrikaya, F. et al. A GIS-based decision support system for determining the shortest and safest route to forest fires: a case study in Mediterranean Region of Turkey. Environ Monit Assess 184, 1391–1407 (2012). https://doi.org/10.1007/s10661-011-2049-z
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DOI: https://doi.org/10.1007/s10661-011-2049-z