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Computational Study of Smouldering Combustion of Peat in Wildfires

机译:泥炭泥泥浆燃烧燃烧的计算研究

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In this work, a one-dimensional (1-D) model of a reactive porous media is developed to solve the heat and mass transfer equations with heterogeneous chemistry. The model first predicts the smouldering thresholds, relating to the critical moisture and inert contents. Modelling results show a good agreement with experiments for a wide range of peat types. Then, the model is optimized to investigate the in-depth spread of peat fire into layers of heterogeneous profiles of moisture, mineral and density. Modelling results reveal that smouldering combustion can spread over peat layers of very high moisture content (> 250%), and the critical moisture for extinction can be much higher than that for ignition. The predicted critical moisture values and depths of burn show a good agreement with measurements of 20-30 cm thick peat samples in the literature. Afterwards, the model reproduces the mass loss rate of a bench-scale peat fire under various oxygen concentrations, and predicts that the minimun oxygen concentration for smouldering of dry peat is around 11 %, much lower than flaming wildfires. This is the first time that the in-depth spread of peat fires is systemically studied based on a computational model to bridge the experimental data in last decades, thus helping to understand this important natural and widespread phenomenon.
机译:在这项工作中,反应性多孔介质的一维(1-d)模型来解决与异构化学的热与质量传递方程。该模型首先预测阴燃的阈值,与临界含水和惰性内容。模拟结果表明与实验的好协议适用范围广泥炭类型。然后,该模型被优化,以调查深入扩散泥炭火成的水分,矿物质和密度的异质型材层。模拟结果表明,阴燃可以散布在泥炭层非常高的水分含量(> 250%),和灭绝临界含水可以比用于点火的高得多。预测临界含水值和烧伤的深度显示与文献20-30厘米厚的泥炭样品的测量有很好的一致性。随后,模型再现不同的氧浓度下的实验室规模的泥炭火的质量损失率,并预测,对于干泥炭阴燃最低限度的氧气浓度为11%左右,比燃烧的野火要低得多。这是第一次,泥炭火灾的深入传播基础上的计算模型,以弥补过去几十年的实验数据进行了系统的研究,从而有助于理解这一重要的自然和普遍的现象。

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