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Simplified expressions for adjusting higher-order turbulent statistics obtained from open path gas analyzers

机译:简化的表达式,用于调整从开放式气体分析仪获得的高阶湍流统计数据

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摘要

When density fluctuations of scalars such as CO are measured with open-path gas analyzers, the measured vertical turbulent flux must be adjusted to take into account fluctuations induced by 'external effects' such as temperature and water vapour. These adjustments are needed to separate the effects of surface fluxes responsible for 'natural' fluctuations in CO concentration from these external effects. Analogous to vertical fluxes, simplified expressions for separating the 'external effects' from higher-order scalar density turbulence statistics are derived. The level of complexity in terms of input to these expressions are analogous to that of the Webb-Pearman-Leuning (WPL), and are shown to be consistent with the conservation of dry air. It is demonstrated that both higher-order turbulent moments such as the scalar variances, the mixed velocity-scalar covariances, and the two-scalar covariance require significant adjustments due to 'external effects'. The impact of these adjustments on the turbulent CO spectra, probability density function, and dimensionless similarity functions derived from flux-variance relationships are also discussed.
机译:当使用开路气体分析仪测量标量(例如CO)的密度波动时,必须调整所测得的垂直湍流,以考虑到“外部效应”(例如温度和水蒸气)引起的波动。需要进行这些调整,以将负责CO浓度“自然”波动的表面通量的影响与这些外部影响分开。类似于垂直通量,导出了用于将“外部效应”与高阶标量密度湍流统计分离的简化表达式。在输入这些表达式时的复杂程度类似于Webb-Pearman-Leuning(WPL)的程度,并显示与保存干燥空气一致。结果表明,由于“外部效应”,高阶湍流矩(例如标量方差,混合的速度-标量协方差和二标量协方差)都需要进行重大调整。还讨论了这些调整对从通量-方差关系得出的湍流CO谱,概率密度函数和无量纲相似函数的影响。

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