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MODELING TURBULENT MIXING AND SAND DISTRIBUTION IN THE BOTTOM BOUNDARY LAYER

机译:底部边界层中湍流混合和砂分布的模拟

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For the calculation of turbulent mixing in the bottom boundary layer, we present simple analytical tools for the mixing velocity wm and the mixing length lm. Based on observations of turbulence intensity measurements, the mixing velocity wm is represented by an exponential function decaying with z. We suggest two theoretical functions for the mixing length, a first lm1 obtained from the k-equation written as a constant modeled fluctuating kinetic energy flux and a second lm2 based on von Kármán’s similarity hypothesis. These analytical tools were used in the finite-mixing-length model of Nielsen and Teakle (2004). The modeling of time-mean sediment concentration profiles C(z) over wave ripples shows that at the opposite of the second equation lm2 which increases the upward convexity of C(z), the first equation lm1 increases the upward concavity of C(z) and is able to reproduce the shape of the measured concentrations for coarse sand.
机译:为了计算底部边界层中的湍流混合,我们为混合速度wm和混合长度lm提供了简单的分析工具。基于对湍流强度测量的观察,混合速度wm由随z衰减的指数函数表示。我们为混合长度建议了两个理论函数,第一个lm1是从k方程获得的,写为常数模型波动动能通量,第二个lm2是基于冯·卡尔曼的相似假设。这些分析工具被用于Nielsen和Teakle(2004)的有限混合长度模型中。波浪涟漪时均沉积物浓度曲线C(z)的建模表明,在第二个方程lm2的相反方向上,第二个方程lm2增加C(z)的向上凸度,第一个方程lm1增加C(z)的向上凹度并能够再现所测量的粗砂浓度的形状。

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