The aim of this study was to clarify the effects of high-rise buildings on the mean and turbulent wind speeds within the canopy layer of an urban university campus in Malaysia. We investigated the characteristics of both mean and exceeding wind speeds by deriving probability density functions of wind speed at a selected canopy height. First, mean wind speeds were compared with those predicted by several existing models as a function of building morphological parameters. Although all empirical models predicted wind speed decreases with an increase in building density, the predicted values and our experimental data did not agree. These results imply that existing prediction models exhibit limitations in specific urban morphologies. Second, the derived probability density functions approached the normal distribution when mean wind speeds increased. In addition, peak factors of wind speeds within the canopy layer approached the values determined by the normal distribution when the mean wind speed ratios were larger than 0.5. These results indicated that strong wind speeds can be predicted by the peak factor of the normal distribution regardless of the location or wind direction using the provided mean wind speed and standard deviations of the mean when wind ratios are larger than 0.5.

本研究的目的是阐明高层建筑对马来西亚城市大学校园树冠层内平均风速和湍流风速的影响。我们通过推导选定树冠高度处风速的概率密度函数来研究平均风速和超风速的特征。首先，将平均风速与几个现有模型预测的作为建筑形态参数的函数进行比较。尽管所有经验模型都预测风速会随着建筑密度的增加而降低，但预测值与我们的实验数据并不一致。这些结果意味着现有的预测模型在特定的城市形态中表现出局限性。其次，当平均风速增加时，导出的概率密度函数接近正态分布。此外，当平均风速比大于0.5时，冠层内风速峰值因子接近正态分布确定的值。这些结果表明，当风比大于 0.5 时，使用提供的平均风速和平均值的标准差，无论位置或风向如何，都可以通过正态分布的峰值因子来预测强风速。