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Mapping wildfire risk by using Fuzzy and AHP methods in forests of northern
  • Seyed Armin Hashemi
Seyed Armin Hashemi
Islamic AZad University

Corresponding Author:sahashemi1980@yahoo.com

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This research is intended to map potential fires using GIS in forests in Talesh, Gilan Province. Spatial data analysis methods were used for zoning fire risk. First, a digital elevation model (DEM) model was prepared using the ASTERsensor . Slope, aspect and mean sea level (MSL) were also obtained by DEM. Then, maps of vegetation type and density were classified in terms of susceptibility to fire by using GIS. The roads, rural settlements and farmlands were mapped. Polygon to Raster and Euclidian Distance were used to rasterize all information layers. Fuzzy membership functions were used to value the parameters of the study area in each layer within a 0 to 1 range, and the subclasses were weighed in AHP model by Saaty valuation table and questionnaire. The use of Dong model and AHP and fuzzy weighing methods for zoning fire risk potentials showed that of the entire study area weighed by AHP method there were zones: 4221.72 Ha very low risk, 10528367 Ha low risk, 13567.94 Ha medium risk, 1382.32 Ha high risk and 6702.43 Ha very high risk, respectively. Therefore, risk zones in terms of surface area were high, medium, low, very high and very low. In fuzzy weighing method, very low, low, medium, high and very high risk zones were 6840.42 Ha, 6605.84 Ha, 12044.46 Ha, 15922.87 Ha, 15922.87 Ha, 7416.89Ha, respectively, which high erosion classes were of the highest priority and low erosion classes were of lowest priority.