The generation of inflow turbulence is the first necessary step to conduct a successful large-eddy simulation (LES) of atmospheric boundary layer (ABL) flows. It is required that the generated inflow turbulence is divergence-free and satisfies essential target statistical properties, including the two-point statistics of the flow described by the coherency function and the spatial correlation. In this paper, a computationally efficient synthetic inflow turbulence generation technique with explicitly defined two-point flow statistics is proposed based on the spectral representation method. The divergence-free condition is imposed on the generated turbulence through a posteriori procedure embedded in the Pressure-Implicit with Splitting of Operators (PISO) solver of OpenFOAM. The efficacy of the proposed method to represent one-point and two-point statistics is demonstrated by comparing the generated turbulence with wind field measurements taken at the Boundary Layer Wind Tunnel Laboratory of Western University. The proposed method is then applied to LES of ABL flows for three exposure conditions, and the wind profiles downstream of the inlet are examined. The mean velocity, turbulence intensity, integral length scale profiles, and the velocity spectra are in good agreement with the target experimental data, thus, indicating the potential of the method for computational wind engineering applications such as wind load evaluation studies. The implementation of the proposed method is available at https://github.com/GBitsuamlak/DFSR.

流入湍流的产生是成功进行大气边界层（ABL）流动的大涡模拟（LES）的第一步。要求生成的入流湍流无散度并且满足基本目标统计特性，包括用相干函数描述的流动的两点统计和空间相关性。本文提出了一种基于谱表示法的计算有效的，具有明确定义的两点流量统计的合成入流湍流生成技术。通过在OpenFOAM的“带操作符拆分的压力-隐式”（PISO）求解器中嵌入的后验程序，将无散度条件施加到生成的湍流上。通过将产生的湍流与在西方大学边界层风洞实验室进行的风场测量值进行比较，证明了该方法代表一点和两点统计量的有效性。然后将所提出的方法应用于三种暴露条件下的ABL流的LES，并检查进气口下游的风廓线。平均速度，湍流强度，积分长度尺度分布和速度谱与目标实验数据高度吻合，因此，表明了该方法在计算风工程应用（例如风荷载评估研究）中的潜力。提议的方法的实现可在https://github.com/GBitsuamlak/DFSR获得。