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Estimation of dead fuel moisture content from meteorological data in Mediterranean areas. Applications in fire danger assessment.

机译:根据地中海地区的气象数据估算死燃油的水分含量。在火灾危险性评估中的应用。

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The estimation of moisture content of dead fuels is a critical variable in fire danger assessment since it is strongly related to fire ignition and fire spread potential. This study evaluates the accuracy of two well-known meteorological moisture codes, the Canadian Fine Fuels Moisture Content and the US 10-h, to estimate fuel moisture content of dead fuels in Mediterranean areas. Cured grasses and litter have been used for this study. The study was conducted in two phases. The former aimed to select the most efficient code, and the latter to produce a spatial representation of that index for operational assessment of fire danger conditions. The first phase required calibration and validation of an estimation model based on regression analysis. Field samples were collected in the Cabaneros National Park (Central Spain) for a six-year period (1998-2003). The estimations were more accurate for litter (r2 between 0.52) than for cured grasslands (r2 0.11). In addition, grasslands showed higher variability in the trends among the study years. The two moisture codes evaluated in this paper offered similar trends, therefore, the 10-h code was selected since it is simpler to compute. The second phase was based on interpolating the required meteorological variables (temperature and relative humidity) to compute the 10-h moisture code. The interpolation was based on European Centre for Medium Range Weather Forecasting (ECMWF) predictions. Finally, a simple method to combine the estimations of dead fuel moisture content with other variables associated to fire danger is presented in this paper. This method estimates the probability of ignition based on the moisture of extinction of each fuel type.
机译:死亡燃料的水分含量估算是火灾危险性评估中的关键变量,因为它与着火点和蔓延潜力密切相关。这项研究评估了两个著名的气象湿度法则的准确性,即加拿大精细燃料水分含量和美国10小时,以估算地中海地区废燃料的燃料水分含量。这项研究使用了固化的草和垃圾。该研究分两个阶段进行。前者的目的是选择最有效的代码,后者的目的是生成该索引的空间表示形式,以便对火灾危险状况进行操作评估。第一阶段需要基于回归分析对估计模型进行校准和验证。在六年(1998年至2003年)期间,在卡瓦内罗斯国家公园(西班牙中部)收集了野外样品。估计的凋落物(r2在0.52之间)比固化的草原(r2 0.11)更准确。此外,在研究年份中,草地的趋势变化较大。本文评估的两个湿度代码具有相似的趋势,因此选择10小时代码是因为它更易于计算。第二阶段基于内插所需的气象变量(温度和相对湿度)以计算10小时湿度代码。插值基于欧洲中型天气预报中心(ECMWF)的预测。最后,本文提出了一种简单的方法,将死燃油含水量的估计值与其他与火灾危险相关的变量结合起来。该方法基于每种燃料类型的消光水分来估计着火的可能性。

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