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

IF 3 3区 农林科学 Q2 ECOLOGY
Esmaeil Mohammadian Bishe, Mohammad Norouzi, H. Afshin, B. Farhanieh
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引用次数: 1

Abstract

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 (κ) 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.
天气条件对伊朗桂兰Malekroud森林火灾传播参数影响的案例研究
本研究使用基于Rothermel原始火灾蔓延方程的FARSITE模拟器,研究了空气相对湿度和风速等气候参数对伊朗Malekroud森林火灾蔓延指数的影响。标准燃料模型用于校准植被覆盖。Sorensen(SC)和kappa(κ)系数以及过估计指数(OI)用于估计模拟的准确性。结果证实,使用环境条件数据和适当的燃料模型对于在火灾传播模拟中获得合理结果至关重要。报告了每个特定场景的火灾蔓延速率(ROS)、火焰长度(FML)和火线强度(FLI)的值。模拟结果表明,在与实际火灾最相似的情况下,索伦森系数和卡帕系数分别达到0.82和0.80。调查火灾的严重程度被归类为低条件火灾行为。模拟表明,在空气相对湿度超过72%的情况下,火灾传播会急剧下降,我们不会看到大规模的自然火灾传播。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Fire-Switzerland
Fire-Switzerland Multiple-
CiteScore
3.10
自引率
15.60%
发文量
182
审稿时长
11 weeks
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