Forest Fire Modeling and the Effect of Fire-Weather in Landscape Fire Behavior for the Region of Attica, Greece

  • N. Iliopoulos
  • K. Kalabokidis
  • G. Kallos
  • H. Feidas
  • A. Malounis
  • E. Mavromatidis
Conference paper
Part of the Springer Atmospheric Sciences book series (SPRINGERATMO)

Abstract

The knowledge of meteorological conditions is critical for the description of fire weather. In this paper, the mesoscale numerical meteorological model RAMS has been used to simulate the surface wind and temperature in two fire events in the region of Attica in Greece. The FARSITE (Fire Area Simulator) fire model, for the description of forest fire behavior, taking into consideration the influence of fuels, topography and weather conditions. The accuracy of the results was evaluated and confirmed that the use of suitable fuel models is very important for achieving reliable simulations for the devastating fires.

Keywords

Forest Fire Burnt Area Fuel Model Fire Model Regional Atmospheric Modeling System 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. Andrews PL (1986) BEHAVE, fire behavior prediction and fuel modeling system-BURN subsystem, Part 1. USDA Forest Service, Intermountain Forest and Range Experiment Station, General Technical Report INT-194, Odgen, UTGoogle Scholar
  2. Bachisio A, Duce P, Laconi M, Pellizzaro G, Salis M, Spano D (2007) Evaluation of FARSITE simulator in Mediterranean maquis. Int J Wildland Fire 16:563–572. doi: dx.doi.org/10.1071/WF06070 CrossRefGoogle Scholar
  3. Ludwig JA, Reynolds JF (1988) Statistical ecology: a primer on methods and computing. Wiley, New YorkGoogle Scholar
  4. Mitsopoulos ID, Dimitrakopoulos AP (2006) Canopy fuel characteristics and potential crown fire behavior in Aleppo pine (Pinus halepensis Mill.) forests. Ann For Sci 64:287–299. doi: 10.1051/forest:2007006 CrossRefGoogle Scholar
  5. Pielke RA, Cotton WR, Walko RL, Tremback CJ, Lyons WA, Grasso LD, Nicholls ME, Moran MD, Wesley DA, Lee TJ, Copeland JH (1992) A comprehensive meteorological modeling system rams. Meteorol Atmos Phys 49:69–91. doi: 10.1007/BF01025401 CrossRefGoogle Scholar
  6. Piñol J, Terradas J, Lloret F (1998) Climate warming, wildfire hazard, and wildfire occurrence in oastal eastern Spain. Clim Chang 38:345–357. doi: 10.1023/A:1005316632105 CrossRefGoogle Scholar
  7. Rothermel RC (1972) A mathematical model for predicting fire spread in wildland fuels. Res. USDA Forest Service, Intermountain Forest and Range Experiment Station. Pap. INT-115, Odgen, UTGoogle Scholar
  8. Scott JH, Burgan RE (2005) Standard fire behavior fuel models: a comprehensive set for use with Rothermel’s surface fire spread model. US Department of Agriculture, Forest Service, Rocky Mountain Research Station, General Technical Report RMRS-GTR-153, Fort Collins, COGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • N. Iliopoulos
    • 1
    • 2
  • K. Kalabokidis
    • 1
  • G. Kallos
    • 3
  • H. Feidas
    • 4
  • A. Malounis
    • 2
  • E. Mavromatidis
    • 5
  1. 1.Department of GeographyUniversity of the AegeanMytileneGreece
  2. 2.Coordinative Operational Centre of Fire Brigade ServicesAthensGreece
  3. 3.University of AthensAthensGreece
  4. 4.Department of GeologyAristotle University of ThessalonikiThessalonikiGreece
  5. 5.Harokopion UniversityAthensGreece

Personalised recommendations