Forests and rangelands? wildfire risk zoning using GIS and AHP techniques

Author

Dept.of Forestry and Rangeland, Faculty of Agriculture and Natural resources, Ilam University, Iran

Abstract

Wildfire in forests and rangelands, apart from its initiating causes, is considered as an ecological disaster. Zoning natural areas according to their susceptibility to fire helps to put off operations and reduces catastrophic losses caused through a wise management plan. In this study, the zoning map of wildfire risk in forest and rangeland areas has been produced using GIS, Analytical Hierarchical Processing (AHP) and remote sensing techniques. The study area is about 196000 ha of Ilam Township, located in western Iran. The influencing factors in wildfire occurrence include current land use/cover, roads and rivers, as well as physiographic, climatic and anthropogenic themes. The locations of the wildfires have been registered by using a GPS from 2007 to 2009, to map wildfire occurring pattern in the study area. Then, using AHP techniques the influencing factors in occurrence and extension of the fires were compared in pairs and weighed. According to the weight calculated for each factor and its corresponding classes, the weighed maps of the factors were produced and employed to produce the final map of wildfire risk zoning. Finally, the zoning map of wildfire risk was produced including five classes of the risk from high to very low. Comparing the map of the wildfire risk potential to the actual fires that happened, it was found that 50 and 40 percents of the fires initiate form the areas, marked as high risk and risky zones on the map, respectively. The results indicate a high compliance of the map of wildfire risk zoning and the location of the fires in the study area. As so it predicts more than 90 percent of occurring forest and rangelands wildfires and would be helpful data for arranging a better wildfire fighting annual plan in national and regional forests and rangeland management headquarters. The model could turn to a more sophisticated one by adding extra influencing factors like, wind speed and its directions. The present model is a static one and to solve such a problem it should be promoted to a dynamic model.

Keywords


Alexandrian, D. and F. Esnault., (1998) Public policies affecting forest fires in the Mediterranean Basin, Proceedings of FAO Meeting on Public Policies Affecting Forest Fires, Rome 28-30 October 1998, 39-58.

 

Almedia, R., (1994) Forest Fire Risk Areas and Definition of the Prevention Priority Planning Actions using GIS, Ecol. Mod., 3(7), 1-9.

 

Akbari D., Amini j. and M., Saadatseresht, 2008, “Developing a Simple and Fast Model to Produce Wildfire Map for Forest Area”, Second Symposium on Facing Natural Hazard, p7.

 

 

Banj-Shafii, A., Akbari-Nia, M., Jalali, G., Azizi, P. and Hosseini, M., (2008) Fire Effects on Forest Structure, Case study, Noshahr, Iran, J. of Res.& Cons., 76, 53-64.

 

Bülent S., Ertuğrul B., Bahar D. D., Ali İ. K. and Ömer K. S., (2008) Spatio-Temporal Analysis of Forest Fire Risk and Danger Using LANDSAT Imagery, Sensors 2008, 8, 3970-3987

 

Carmel Y., Paz S., Jahashan F. and M., Shoshany, (2009), Assessing Fire Risk Using Monte Carlo Simulations of Fire Spread, For. Ecol.Manag. 257(2009), 370–377.

 

Chandra, S. and Aorora, M. K., (2006) Forest Fire Risk Zoning Mapping Using Remote Sensing Technology, Journal of SPIE (abstracts), 6412), 64120

 

Chuvieco, E., Salas, FJ, and Vega, C., (1997) Remote Sensing and GIS for Long-term Fire Risk Mapping, Remote Sensing of Wild land Fires, Mega-fires ENV-CT96-0256, 91-101.

 

 

Dong, X., Li-min, D., Guo-fan, S., Lei, T., and Hui, W., (2005) Forest Fire Risk Zone Mapping from Satellite Images and GIS for Baihe Forestry Bureau, Jilir China, J. of Forestry Res., 15, 169-174.

 

Erten, E., Kurgun, V., and Musaoglu, N., (2004) Forest Fire Risk Zone Mapping from Satellite Imagery and GIS; a case study", pp: 1-7.

 

Garaei P. and S., Arkhi, (2007) An Investigation on AHP and Frequency Ratio to Produce Map of Landslide Risk Zoning in Ilam Dam Watershed, Using GIS, National Conference in Geo-GIS, Pp. 1-10

 

FAO, (2001) GLOBAL FOREST FIRE ASSESSMENT 1990-2000, FRA 2000, Rome, Pp565

 

Hai-wei, Y., Fan-hua, K., and Xiu-zhen, L., (2004) Remote Sensing and GIS-based Forest Fire Risk Zone Mapping in Hinggan Mountains, J. of Chi. Geog. Sci., 2(6), 251-257.

 

Headquarter of Natural Resource and Watershed Management, Ilam Province, 2010, Annual Report on Forest Fires, Ilam, Ilam, Iran. Hosseinali F. & A. Rajabi, (2005) Forest Fire Simulation; Using Spatial Information Systems, Geomatics 84, National Cartographic Center, Tehran, Iran.

 

Huesca, M. and Litago, J. and Palacios-Orueta, A. and Merino de Miguel, Silvia, (2008) Model design to predict forest fire risk in Navarra (Spain) using time series analysis. In: EGU General Assembly 2008, 13.04.2008-18.04.2008, Vienna, Austria. Keane R. E., Drury S. A.,

 

 

Karau E. C., Hessburg P. F. And K. M Reynolds, (2009) A Method for Mapping Fire Hazard and Risk across Multiple Scales and its Application in Fire Management, Ecological Modeling, xxx–xxx (www.elsevier.com/locate/ecolmodel, 5322)

Mahdavi... et al., 51

 

Klaver, R.W., and Fosinight, E. A., (1997) Global Forest Fire Watch: Wildfire Potential, Detection, Monitoring and Assessment, J. of Forestry Res., 7, 1-12.

 

Mohammadi, F. (2009) Producing Forest Fire Risk Map, Using Satellite Images and GIS, Paveh, Iran, M.Sc. Thesis report, University of Kurdistan, Kurdistan, Iran.

 

Noorian, A., Jamali B. and Javanmard, S., (2003) National Disaster Risk Management Report, Iran Meteorological Organization, Pp230.

 

Pradhan, B. and Arshad Bin Awang, M., (2005) Application of Remote Sensing and GIS for Forest Fire Susceptibility Mapping using Likelihood Ratio Model, J. of Forest Man., 23, 1-5.

 

Rajeev Kumar, J., Saumitra M., Kumaran D. R, Rajesh S. (2002) Forest Fire Risk Zone Mapping from Satellite Imagery and GIS, Int. J. of App. Earth Obs. & Geo-info., 4(2004), 1-10.

 

Shadfar, S., Yamani, M., Ghodoosi, M. and Ghyoomyan, J., (2007) Land Slid Hazard Zoning, Using Hierarchical Analysis Processing; Case study, Tonekabon, Iran, J. of Ir. Nat. Res., 75, 118-126

 

Yohay Carmel, Shlomit Paz, Faris Jahashan, Maxim Shoshany, 2009 Assessing Fire Risk using Monte Carlo Simulations of Fire spread, For. Ecol. manag., 257 (2009), 370-377.

 

Zare-Mayvan H. & F. Memaryani, (2001), “An Investigation on Trend of Natural Vegetation Rehabilitation in Damaged Regions of Golestan National Park; after wildfires in1997”, Pazhoohesh & Sazandegi; (54): 34-39.