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Modeling the neutrally stable atmospheric boundary layer for laboratory scale studies of the built environment

机译：对中性稳定的大气边界层建模，以对建筑环境进行实验室规模研究

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摘要

The properties of the atmospheric boundary layer (ABL) influence a range of physical phenomena in urban areas such as wind loading on buildings, wind-driven ventilation flows, pollution dispersion, and the lift off and transport of loose debris. In order to accurately model the ABL velocity profile at laboratory scale, it is important to establish the shear velocity u~* surface roughness z_0, and zero plane displacement d in either a wind tunnel or water flume. Current techniques for establishing these parameters are based on either an analysis of the boundary layer surface geometry or iterative curve fitting techniques that use mean velocity and/or turbulent kinetic energy profiles, occasionally combined with empirical correlations for z_0. A new curve fitting method for calculating these logarithmic velocity profile parameters is presented. This new method calculates u~*, z_0, and d directly from time-averaged velocity profile data in just two steps without any iteration. A comparison is presented between the results of the new method and other available methods applied to a range of velocity profile measurements in air and water. The comparison shows that, although the new method requires less data and fewer steps, it calculates u~* and z_0 with greater accuracy than existing techniques, and d with equivalent accuracy to existing techniques.
机译：大气边界层（ABL）的属性会影响城市地区的一系列物理现象，例如建筑物上的风荷载，风驱动的通风流，污染扩散以及散落碎片的抬起和运输。为了在实验室规模上准确模拟ABL速度分布，建立风洞或水槽中的剪切速度u〜*表面粗糙度z_0和零平面位移d很重要。用于建立这些参数的当前技术是基于对边界层表面几何形状的分析，或者是基于迭代曲线拟合技术，该技术使用平均速度和/或湍动能谱，并偶尔结合z_0的经验相关性。提出了一种计算这些对数速度分布参数的新曲线拟合方法。这种新方法仅需两步就可以直接从时间平均速度分布数据中计算u〜*，z_0和d，而无需进行任何迭代。比较了新方法的结果和应用于空气和水中各种速度分布的其他可用方法的结果。比较表明，尽管新方法需要较少的数据和较少的步骤，但与现有技术相比，其计算u〜*和z_0的精度更高，而d与现有技术的精度相同。

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