Developing local-climate-zone-based logarithmic law wind profile considering urban morphology

Abstract

The spatial heterogeneity of building clusters creates a highly complex urban wind environment, making it difficult for traditional wind profile models to capture the spatial characteristics of urban wind. This study aims to investigate the impact of complex urban morphology on the wind environment characteristics, and thereby to establish an urban wind profile at local scale. Firstly, the Weather Research and Forecasting (WRF) model combined with Local Climate Zone (LCZ) method was used to simulate the urban wind field. Subsequently, the simulated data was validated against wind speed data from meteorological stations and sounding data. Finally, the logarithmic law wind profile parameters were analyzed corresponding to each LCZ type (LCZ1-LCZ6) within varying spatial extent by statistical methods, and thus the optimal parameters were obtained applicable to these types. The results indicated that roughness length and friction velocity were strongly correlated with the LCZ type; based on the spatial layout, the optimal ranges for each LCZ type were determined, with roughness length ranging from 5.70 m to 11.95 m and friction velocity ranging from 0.783 m/s to 0.883 m/s. Logarithmic law wind profiles were established applicable to each LCZ type.