Volume 16, Issue 5 (2014)
JAST 2014, 16(5): 1109-1121 |
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Jahdi R, Darvishsefat A A, Etemad V, Mostafavi M A. Wind Effect on Wildfire and Simulation of its Spread (Case Study: Siahkal Forest in Northern Iran). JAST 2014; 16 (5) :1109-1121
URL: http://jast.modares.ac.ir/article-23-11214-en.html
URL: http://jast.modares.ac.ir/article-23-11214-en.html
1- Department of Forestry, Faculty of Natural Resources, University of Tehran, Karaj, Islamic Republic of Iran.
2- Center for Research in Geomatics, Laval University, Quebec, Canada.
2- Center for Research in Geomatics, Laval University, Quebec, Canada.
Abstract: (6808 Views)
Lack of fire behavior studies and the immediate needs posed by the extent of the fire problem in forests of Iran require that extensive studies be conducted to develop models to predict fire behavior in the region.In this study, FARSITE Fire Area Simulator was applied to simulate spread and behavior of two real fires that had occurred in Northern Forests of Iran during 2010 summer and fall seasons in a spatially and temporally explicit manner taking into account the fuel, topography, and prevailing weather in the area. Spatial data themes of elevation, aspect, slope, canopy cover, and fuel model were prepared and formatted in GIS along with weather and wind files to run FARSITE fire behavior model. The effect of weather conditions on the accuracy of FARSITE simulations was evaluated in order to assess the capabilities of the simulator in accurately predicting the fire spread in the case study. The WindNinja model was used to derive local winds influenced by vegetation and topography. The simulations were validated with the real mapped fire scars by GPS mapping. Kappa Coefficient was used as measure of the accuracy of the simulation. The Kappa statistic was lower for spatially uniform wind data (0.5) as compared to spatially varying wind data (0.8) for the two studied events. The results confirm that the use of accurate wind field data is important in fire spread simulation, and can improve its accuracy and the predictive capabilities of the simulator.
Article Type: Research Paper |
Subject:
Forestry
Received: 2013/08/10 | Accepted: 2014/03/3 | Published: 2014/09/1
Received: 2013/08/10 | Accepted: 2014/03/3 | Published: 2014/09/1
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