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ESTIMATING FINE DEAD FUEL MOISTURE CONTENT UNDER EQUATORIAL CLIMATE CONDITIONS

机译:校准下赤道气候条件下的精细死燃料水分含量

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The measurement of the fine dead fuel moisture content (FDFMC) is extremely important for forest fire prevention and suppression activities, as it has a great influence on the ignition probability and fire behavior. The Fine Fuel Moisture Code (FFMC) from the Fire Weather Index (FWI), is one of the most used models to estimate the FDFMC. Nevertheless, studies that assess the efficiency of this model in Brazil or in low latitude regions are rare. The present study aimed to evaluate the efficiency of the FFMC in an equatorial climate area and to develop a new model capable of estimating the FDFMC with greater precision. For this purpose, 861 random samples of fine dead fuel had their moisture content determined through oven drying. The obtained values were compared with those estimated by the FFMC and correlated with meteorological parameters to build a regression model. The results obtained show that the FDFMC was overestimated by the FFMC. The independent variables with the greatest influence on the FDFMC were, in decreasing order of significance: air relative humidity, air temperature, amount of rainfall in the last 24 hours and number of days without rainfall. The developed model presented good statistical parameters (r2 = 0.86; p <0.0001; RMSE = 0.22) and can be used, in areas with similar characteristics of the study area, to estimate the daily fire risk and to determine ideal conditions for prescribed burns.
机译:精细死燃料含水量(FDFMC)的测量对于森林防火和抑制活动非常重要,因为它对点火概率和火灾行为产生了很大影响。来自火灾天气指数(FWI)的精细燃料湿度代码(FFMC)是估算FDFMC最常用的模型之一。尽管如此,评估巴西或低纬度地区效率的研究是罕见的。本研究旨在评估FFMC在赤道气候区中的​​效率,并开发一种能够更精确地估计FDFMC的新模型。为此目的,通过烘箱干燥测定861个精细死燃料的随机样品。将所得值与FFMC估计的那些进行比较,并与气象参数相关,以构建回归模型。得到的结果表明,FFMC的FDFMC高估。对FDFMC影响最大的独立变量是在减少的意义顺序下降:空气相对湿度,空气温度,过去24小时的降雨量以及没有降雨的天数。开发的模型呈现出良好的统计参数(R2 = 0.86; P <0.0001; RMSE = 0.22),并且可以在具有类似特征的研究区域的区域中估计日常火灾风险,并确定规定烧伤的理想条件。

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