在规定的燃烧过程中,模拟火灾传播速度的变化

e-CUCBA Pub Date : 2022-12-22 DOI:10.32870/ecucba.vi19.262
José Germán Flores Garnica
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引用次数: 0

摘要

火灾行为模拟通常基于森林燃料的标准化模型,这很难代表森林生态系统中所有可能的变化,这可能导致对火灾行为的估计有偏差。因此,在本研究中,以奇瓦瓦州的一处松栎林为例,对火灾行为模拟(传播速率[m/min])进行了对比分析,在有利于斜坡的规定燃烧过程中。这些模拟的变化与以下因素有关:a)燃料模型;B)燃料负荷;c)风速。检验的模型为:1)考虑温度、相对湿度和坡度的多元回归模型;2)燃料型号M-8及其改型M-8R(包括在现场获得的燃料收费值);3)燃料模型M-9及其改型M-9R(包括在现场获得的燃料收费值)。由相对湿度(%)与火势传播速度(m/min)之间的相关性定义了趋势方程。虽然这两个模型都没有统计学意义,但我们用回归方程定义了最佳拟合,这可以在实际中用于粗略估计火灾蔓延速度(RP)。总的来说,所选择的模型不适合模拟规定燃烧过程中的火灾行为。这突出表明需要为所分析的植被及其密度、结构和组成的变化生成特定的燃料模型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulación de las variaciones de la velocidad de propagación del fuego, durante una quema prescrita
Fire behavior simulations are generally based on standardized models of forest fuels, which can hardly represent allpossible variations in forest ecosystems, which can result in biased estimates of fire behavior. Due to this, in the presentwork a comparative analysis of simulations of fire behavior (propagation rate [m/min]) is made, during the course of aprescribed burning in favor of the slope, in a pine-oak forest stand from the state of Chihuahua. These simulations varied inrelation to: a) fuel models; b) fuel loads; and c) wind speed. The models tested were: 1) the one that resulted from amultiple regression (considering temperature, relative humidity and slope); 2) the fuel model M-8 and its variant M-8R(includes the values of fuel charges obtained in the field); and 3) the fuel model M-9 and its variant M-9R (includes thevalues of fuel charges obtained in the field). The equations of the trends defined by the correlation between the relativehumidity (%) and the speed of fire propagation (m/min) were generated. Although neither model was found to bestatistically significant, the best fit was defined with the regression equation:, which can be used in apractical way for a rough estimation of the rate of fire spread (RP). It is concluded that, in general, the selected modelswere not appropriate for simulating fire behavior during prescribed burning. This highlights the need to generate specificfuel models for the analyzed vegetation and its variations in density, structure and composition
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