In this study, we applied a computational fluid dynamics (CFD) model incorporating a tree drag parameterization scheme to investigate how the presence of trees improved pedestrian wind comfort on the urban campus of Pukyong National University (PKNU). We comprehensively analyzed pedestrian wind comfort considering wind inflow direction and observed frequency. To validate the CFD model, we conducted sensitivity simulations by varying the vertical profiles of leaf area density (LAD) and compared our CFD simulations with previous field measurements and simulation results. The adjusted LAD profile yielded the best reproduction of measured wind speeds and turbulent kinetic energy behind trees, demonstrating performance similar to that of a large-eddy simulation (LES) model. We applied the CFD model to investigate the effect of trees on pedestrian wind comfort on the PKNU campus. Trees markedly improved pedestrian wind comfort when horizontally incoming airflow passed through the trees; however, there was little improvement in pedestrian wind comfort in regions where airflow rapidly descended the walls of tall buildings.

在这项研究中，我们应用了包含树阻力参数化方案的计算流体动力学（CFD）模型，以研究树木的存在如何改善了普吉国立大学（PKNU）城市校园的行人风舒适性。我们综合考虑行进方向和观测频率来分析行人的风舒适度。为了验证CFD模型，我们通过改变叶面积密度（LAD）的垂直剖面进行了敏感性模拟，并将我们的CFD模拟与先前的田间测量和模拟结果进行了比较。调整后的LAD轮廓可以最佳地重现树木后测得的风速和湍动能，其性能与大涡流模拟（LES）模型相似。我们使用CFD模型来研究树木对PKNU校园行人风舒适度的影响。当水平气流进入树木时，树木显着改善了行人的风舒适性；但是，在气流迅速下降到高层建筑物墙壁的区域，行人风的舒适度几乎没有改善。