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首页> 外文期刊>International Journal of Wildland Fire >Modelling drying processes of fuelbeds of Scots pine needles with initial moisture content above the fibre saturation point by two-phase models.
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Modelling drying processes of fuelbeds of Scots pine needles with initial moisture content above the fibre saturation point by two-phase models.

机译:通过两相模型对初始松木含量高于纤维饱和点的苏格兰松针燃料床的干燥过程进行建模。

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摘要

Modelling the drying process of fuel moisture with initial moisture content above the fibre saturation point can be used to determine when fuel will become sufficiently dry (after precipitation) to burn and provide a more accurate prediction of fire potential. Based on analysis of the mechanism by which the drying process occurs, we propose a model comprising two phases distinguished by a moisture threshold of 0.35 g g-1, the fibre saturation point; one phase is controlled by evaporation and the other by diffusion. Each phase has a distinct equation with a different timelag. We compared our two-phase model with a one-phase model (one-timelag model) and another two-phase model by estimating drying of 15 Scots pine (Pinus sylvestris var. mongolica) needle fuelbeds. The results indicate that the two-timelag model improves moisture modelling, thereby reducing mean absolute error by more than 30%, i.e. from 0.0047 g g-1 (one-phase model) to 0.0030 g g-1. The model yields consistent results, further suggesting its potential for improving fuel moisture prediction of fire danger rating systems. The first timelag of the model is affected by fuelbed properties. Equations based on variables that represent fuelbed properties were established, thus saving time when estimating parameters for stand-specific fuel moisture models.
机译:对初始水分含量高于纤维饱和点的燃料水分干燥过程进行建模可用于确定燃料何时将变得足够干燥(沉淀后)以燃烧并提供更准确的火势预测。在对干燥过程发生机理进行分析的基础上,我们提出了一个模型,该模型包括两个阶段,分别以纤维饱和点0.35 g g -1 为阈值。一相受蒸发控制,另一相受扩散控制。每个阶段都有一个具有不同时滞的独特方程式。我们通过估算15个苏格兰松( sylvestris var。 mongolica )的干燥程度,将我们的两阶段模型与一个阶段模型(一个时滞模型)和另一个阶段模型进行了比较。我>)针加油床。结果表明,两时滞模型改善了湿度模型,从而将平均绝对误差降低了30%以上,即从0.0047 gg -1 (单相模型)降低至0.0030 gg - 1 。该模型产生了一致的结果,进一步表明了其在改善火灾危险等级系统的燃油湿度预测方面的潜力。模型的第一个时滞受燃料床特性的影响。建立了基于代表燃料床特性的变量的方程式,从而在估算针对特定工厂的燃料水分模型的参数时节省了时间。

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