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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封闭法

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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:在本文中,条件矩封闭法被应用于具有CBM-IV化学机理的简单的大气流动反应问题,以评估小规模偏析对平均污染物浓度演变的影响。 CMC方法将模型化的运输方程式用于反应性标量的条件平均值,并在守恒标量上进行条件调整。通过求解时间平均守恒标量的输运方程,可以考虑到宏观混合,而在CMC理论中,标量耗散率模型中包括了微观混合。结果表明,充分混合的反应物的通常假设对长时间反应的物质是有效的,但是对于受快速化学影响的物质(例如自由基,例如HO_2),CMC预测与充分混合的假设之间的差异相差两个或更多。这些差异的大小取决于守恒的标量波动及其耗散率。当重点放在气流的小范围特征(例如在街道峡谷和电站烟囱中)时,CMC方法提供了一种在空气质量建模中引入偏析效果的方法。

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