Articles | Volume 15, issue 3
Nat. Hazards Earth Syst. Sci., 15, 443–459, 2015
https://doi.org/10.5194/nhess-15-443-2015
Nat. Hazards Earth Syst. Sci., 15, 443–459, 2015
https://doi.org/10.5194/nhess-15-443-2015

Research article 06 Mar 2015

Research article | 06 Mar 2015

Calibration of FARSITE simulator in northern Iranian forests

R. Jahdi1, M. Salis3,2, A. A. Darvishsefat1, M. A. Mostafavi4, F. Alcasena5,3, V. Etemad1, O. Lozano2, and D. Spano3,2 R. Jahdi et al.
  • 1University of Tehran, Faculty of Natural Resources, P.O. Box 4314, Zobe Ahan Street, 3158777878 Karaj, Iran
  • 2University of Sassari, Department of Science for Nature and Environmental Resources (DIPNET), Via Enrico De Nicola 9, 07100 Sassari, Italy
  • 3Euro-Mediterranean Center on Climate Changes (CMCC), IAFENT Division, Via De Nicola 9, 07100 Sassari, Italy
  • 4Université Laval, Center for Research in Geomatics (CRG) 1055, Avenue du Séminaire, Pavillon Louis-Jacques-Casault, Québec G1V 0A6, QC, Canada
  • 5University of Lleida, Department of Agricultural and Forest Engineering (EAGROF), Alcalde Rovira Roure 191, 25198 Lleida, Spain

Abstract. Wildfire simulators based on empirical or physical models need to be locally calibrated and validated when used under conditions that differ from those where the simulators were originally developed. This study aims to calibrate the FARSITE fire spread model considering a set of recent wildfires that occurred in northern Iranian forests. Site-specific fuel models in the study areas were selected by sampling the main natural vegetation type complexes and assigning standard fuel models. Overall, simulated fires presented reliable outputs that accurately replicated the observed fire perimeters and behavior. Standard fuel models of Scott and Burgan (2005) afforded better accuracy in the simulated fire perimeters than the standard fuel models of Anderson (1982). The best match between observed and modeled burned areas was observed on herbaceous fuel models. Fire modeling showed a high potential for estimating spatial variability in fire spread and behavior in the study areas. This work represents a first step in the application of fire spread modeling in northern Iran for wildfire risk monitoring and management.

Download
Short summary
This work aimed to calibrate FARSITE simulator using a set of wildfires that occurred in north Iranian forests. Fire modeling showed a high potential for estimating spatial variability in fire spread and behavior of the case studies selected. This paper represents a first step in the application of fire spread modeling in northern Iran in wildfire risk monitoring and management. The methodology can be replicated in other Caspian ecosystems to characterize fire spread and behavior.
Altmetrics
Final-revised paper
Preprint