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The conditional moment closure approach for atmospheric pollution problems

机译:大气污染问题的条件矩闭合方法

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In this paper, the Conditional Moment Closure is applied to simple problems of reacting flows in the atmosphere with the CBM-IV chemical mechanism in order to evaluate the effect of small-scale segregation on the evolution of the mean pollutant concentrations. The CMC method uses modelled transport equations for conditional averages of the reactive scalars, with the conditioning done on a conserved scalar. Macro-mixing is taken into account by solving the transport equation of the time-averaged conserved scalar, while micro-mixing is included in CMC theory in models for the scalar dissipation rate. The results show that the usual assumption of well-mixed reactants is valid for the species that react over long timescales, but for species afiected by fast chemistry (e.g. radicals such as HO_2), the differences between the CMC predictions and the well-mixed assumption diverge by a factor of two or more. The magnitude of these differences depends on the conserved scalar fluctuations and their dissipation rate. The CMC method offers a way to introduce segregation effects in Air Quality Modelling when the emphasis is on the small-scale features of the flow, such as in street canyons and power station plumes.
机译:本文用CBM-IV化学机制将条件闭合物应用于大气中流动反应的简单问题,以评估小规模隔离对平均污染物浓度的演变的影响。 CMC方法使用模型传输方程,用于反应标量的条件平均值,在保守的标量上完成了调节。通过求解时间平均保守标量的传输方程,考虑到宏混合,而微混合包括在标量耗散率的模型中的CMC理论中。结果表明,良好混合反应物的通常假设对于长期反应的物种是有效的,但是对于快速化学(例如HO_2)中的种类的物种,CMC预测与良好混合的假设之间的差异分叉两倍或更多。这些差异的大小取决于保守的标量波动及其耗散率。 CMC方法提供了一种方法,在重点是流动的小规模特征,如街道峡谷和电站羽毛等时,提供了一种在空气质量建模中引入空气质量建模中的分离效果。

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