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Simulation of odour dispersion downwind from natural windbreaks using the computational fluid dynamics standard k-epsilon model

机译:使用计算流体动力学标准k-ε模型模拟自然风中顺风散发的气味

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摘要

If natural windbreaks create air turbulence and can help disperse odours from livestock operations, their dispersion effect has not been extensively researched. This paper introduces a model simulating odour dispersion downwind from natural windbreaks. The standard k-epsilon model of the FLUENT software was used to incorporate the effect of climatic conditions and windbreak structure. The model was calibrated for wind velocity recovery, odour concentration (OC) from field observations and inertial resistance. Once calibrated, the model accurately reproduced the odour plume developing downwind from the windbreak. The correlation between OC for 11 field trials and that simulated were statistically significant (P < 0.01), indicating that the model was accurate. The model demonstrated that a windbreak did alter the magnitude and direction of the wind velocity, thus creating a pressure jump across its width. This pressure jump produces a strong downwind turbulence forming a mixing layer capable of enhancing odour dispersion.
机译:如果天然防风林引起空气紊流并有助于驱散家畜生产过程中产生的气味,则其驱散效果尚未得到广泛研究。本文介绍了一个模型,用于模拟自然防风带顺风散发的气味。 FLUENT软件的标准k-ε模型用于结合气候条件和防风结构的影响。对该模型进行了校准,以恢复风速,现场观察到的气味浓度(OC)和惯性阻力。校准后,该模型可以准确地再现出防风带顺风而下的气味羽流。 11个现场试验的OC与模拟的OC之间的相关性具有统计学显着性(P <0.01),表明该模型是准确的。该模型表明,防风林确实改变了风速的大小和方向,从而在其宽度上产生了压力跳跃。该压力跳跃产生强烈的顺风湍流,形成能够增强气味分散的混合层。

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