论文标题
大气表面层中高阶温度矩的对数尺度
Logarithmic scaling of higher-order temperature moments in the atmospheric surface layer
论文作者
论文摘要
针对湍流边界层提出了针对被动标量高阶的广义对数定律。该定律类似于广泛的日志定律,该法律已针对湍流纵向速度的高阶矩提出,并且通过将随机扫描的去相关假设与附着的涡流假设告知的光谱模型相结合来得出。提出的理论预测,惯性s层中被动标量波动的高阶力矩将随壁正常距离($ z $)而变化。使用高频时间序列测量在近中性热分层下的第一米米(ASL)中获得的温度和流速度波动的高频时间序列测量进行评估。在空气温度和速度矩中都可以观察到惯性子层中与$ z $的对数依赖性,并且与所提出的理论的预测很好地一致。令人惊讶的是,所提出的理论似乎与纵向速度相比,对于运输的被动标量而言,它是有效的,即使不是更多。
A generalized logarithmic law for high-order moments of passive scalars is proposed for turbulent boundary layers. This law is analogous to the generalized log law that has been proposed for high-order moments of the turbulent longitudinal velocity and is derived by combining the random sweeping decorrelation hypothesis with a spectral model informed by the attached eddy hypothesis. The proposed theory predicts that the high-order moments of passive scalar fluctuations within the inertial sublayer will vary logarithmically with wall-normal distance ($z$). The proposed theory is evaluated using high frequency time-series measurements of temperature and streamwise velocity fluctuations obtained in the first meter of the atmospheric surface layer (ASL) under near-neutral thermal stratification. The logarithmic dependence with $z$ within the inertial sublayer is observed in both the air temperature and velocity moments, with good agreement to the predictions from the proposed theory. Surprisingly, the proposed theory appears to be as, if not more, valid for transported passive scalars than for the longitudinal velocity.