A Case Study on the Effects of Weather Conditions on Forest Fire Propagation Parameters in the Malekroud Forest in Guilan, Iran

The present study investigates the effect of climatic parameters, such as air relative humidity and wind speed, on fire spread propagation indexes in the Malekroud Forest, Iran using the FARSITE simulator based on Rothermel’s original fire spread equation. Standard fuel models are used to calibrate...

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Main Authors: Esmaeil Mohammadian Bishe, Mohammad Norouzi, Hossein Afshin, Bijan Farhanieh
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Fire
Subjects:
Online Access:https://www.mdpi.com/2571-6255/6/7/251
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author Esmaeil Mohammadian Bishe
Mohammad Norouzi
Hossein Afshin
Bijan Farhanieh
author_facet Esmaeil Mohammadian Bishe
Mohammad Norouzi
Hossein Afshin
Bijan Farhanieh
author_sort Esmaeil Mohammadian Bishe
collection DOAJ
description The present study investigates the effect of climatic parameters, such as air relative humidity and wind speed, on fire spread propagation indexes in the Malekroud Forest, Iran using the FARSITE simulator based on Rothermel’s original fire spread equation. Standard fuel models are used to calibrate the vegetation cover. Sorensen (SC) and kappa (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>κ</mi></mrow></semantics></math></inline-formula>) coefficients, as well as the Overestimation Index (OI), are used to estimate the simulation’s accuracy. The results confirm that using both ambient condition data and appropriate fuel models is crucial to reaching reasonable results in fire propagation simulations. The values of the Rate of Fire Spread (ROS), Flame Length (FML), and Fire Line Intensity (FLI) are reported for each particular scenario. The simulation results show that the Sorensen and Kappa coefficient for situations most similar to the real fire reached 0.82 and 0.80, respectively. The investigated fire’s severity is categorized as low-condition fire behavior. The simulation shows that fire propagation falls harshly in the case of air relative humidity by more than 72%, and we will not witness natural fire propagation on a large scale.
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spelling doaj.art-71bb136758b14e2b80efbd84e80ad13b2023-11-18T19:17:23ZengMDPI AGFire2571-62552023-06-016725110.3390/fire6070251A Case Study on the Effects of Weather Conditions on Forest Fire Propagation Parameters in the Malekroud Forest in Guilan, IranEsmaeil Mohammadian Bishe0Mohammad Norouzi1Hossein Afshin2Bijan Farhanieh3School of Mechanical Engineering, Sharif University of Technology, Tehran 14588-89694, IranSchool of Mechanical Engineering, Sharif University of Technology, Tehran 14588-89694, IranSchool of Mechanical Engineering, Sharif University of Technology, Tehran 14588-89694, IranSchool of Mechanical Engineering, Sharif University of Technology, Tehran 14588-89694, IranThe present study investigates the effect of climatic parameters, such as air relative humidity and wind speed, on fire spread propagation indexes in the Malekroud Forest, Iran using the FARSITE simulator based on Rothermel’s original fire spread equation. Standard fuel models are used to calibrate the vegetation cover. Sorensen (SC) and kappa (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>κ</mi></mrow></semantics></math></inline-formula>) coefficients, as well as the Overestimation Index (OI), are used to estimate the simulation’s accuracy. The results confirm that using both ambient condition data and appropriate fuel models is crucial to reaching reasonable results in fire propagation simulations. The values of the Rate of Fire Spread (ROS), Flame Length (FML), and Fire Line Intensity (FLI) are reported for each particular scenario. The simulation results show that the Sorensen and Kappa coefficient for situations most similar to the real fire reached 0.82 and 0.80, respectively. The investigated fire’s severity is categorized as low-condition fire behavior. The simulation shows that fire propagation falls harshly in the case of air relative humidity by more than 72%, and we will not witness natural fire propagation on a large scale.https://www.mdpi.com/2571-6255/6/7/251fire spread rateair relative humiditywind speedSorensen and Kappa coefficientsoverestimation indexFARSITE
spellingShingle Esmaeil Mohammadian Bishe
Mohammad Norouzi
Hossein Afshin
Bijan Farhanieh
A Case Study on the Effects of Weather Conditions on Forest Fire Propagation Parameters in the Malekroud Forest in Guilan, Iran
Fire
fire spread rate
air relative humidity
wind speed
Sorensen and Kappa coefficients
overestimation index
FARSITE
title A Case Study on the Effects of Weather Conditions on Forest Fire Propagation Parameters in the Malekroud Forest in Guilan, Iran
title_full A Case Study on the Effects of Weather Conditions on Forest Fire Propagation Parameters in the Malekroud Forest in Guilan, Iran
title_fullStr A Case Study on the Effects of Weather Conditions on Forest Fire Propagation Parameters in the Malekroud Forest in Guilan, Iran
title_full_unstemmed A Case Study on the Effects of Weather Conditions on Forest Fire Propagation Parameters in the Malekroud Forest in Guilan, Iran
title_short A Case Study on the Effects of Weather Conditions on Forest Fire Propagation Parameters in the Malekroud Forest in Guilan, Iran
title_sort case study on the effects of weather conditions on forest fire propagation parameters in the malekroud forest in guilan iran
topic fire spread rate
air relative humidity
wind speed
Sorensen and Kappa coefficients
overestimation index
FARSITE
url https://www.mdpi.com/2571-6255/6/7/251
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