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Development of an analytical Lagrangian model for passive scalar dispersion in low-wind speed meandering conditions

机译:低风速蜿蜒条件下被动标量散分析拉格朗日模型的开发

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Describing the effects of wind meandering motions on the dispersion of scalars is a challenging task, since this type of flow represents a physical state characterized by multiple scales. In this study, a Lagrangian stochastic diffusion model is derived to describe scalar transport during the horizontal wind meandering phenomenon that occurs within a planetary boundary layer. The model is derived from the linearization of the Langevin equation, and it employs a heuristic functional form that represents the autocorrelation function of meandering motion. The new solutions, which describe the longitudinal and lateral wind components, were used to simulate tracer experiments that were performed in low-wind speed conditions. The results of the comparison indicate that the new model can effectively reproduce the observed concentrations of the contaminants, and therefore, it can satisfactorily describe enhanced dispersion effects due to the presence of meandering. (C) 2017 Elsevier B.V. All rights reserved.
机译:描述风蜿蜒运动对标量散的影响是一个具有挑战性的任务,因为这种类型的流量表示特征的物理状态,其特征是多个尺度。在该研究中,推导了一种拉格朗日随机扩散模型,以描述在行星边界层内发生的水平风蜿蜒现象期间的标量传输。该模型来自Langevin方程的线性化,它采用了一种启发式功能形式,表示曲折运动的自相关函数。描述纵向和横向风组件的新溶液用于模拟在低风速条件下进行的示踪实验。比较结果表明,新模型可以有效地再现观察到的污染物浓度,因此,由于曲折存在,它可以令人满意地描述增强的分散效应。 (c)2017年Elsevier B.V.保留所有权利。

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