Analysis of cooling effect of see breeze on urban areas considering vertical wind profiles

提出了一种基于地理信息系统数据的土地利用类型划分和粗糙度长度计算方法。WRF利用地理信息系统资料计算的风速垂直廓线与观测资料吻合较好。利用聚类分析将夏季廓线划分为具有代表性的几种类型，并针对大涡模拟(LES)研究了两种产生入射湍流(速度和温度起伏)的方法。通过与风洞实验的对比，验证了LES对城市街道峡谷内气体和热扩散的适用性。通过CFD模拟和风洞实验研究了不同城市冠层表面对空气的对流换热系数。根据城市参数和雷诺数对CHTC进行了推广。

A method to appropriately classify land-use categories and to give roughness length to the WRF calculation based on GIS data was developed. The vertical profiles of wind velocity calculated by WRF using GIS data agreed very well with those of the observation data. The profiles in summer were classified into some representative patterns by using cluster analysis.Two methods for generating inflow turbulence(both velocity and temperature fluctuations) were examined for Large Eddy Simulation(LES). The applicability of the LES to gas and thermal dispersion in urban street canyons was validated by comparing with wind tunnel experiments.Convective heat transfer coefficients(CHTC) from various urban canopy surfaces to air were investigated by CFD simulations and wind tunnel experiments. The CHTC were generalized with respect to the urban parameters and Reynolds number.