Abstract:

  Human factors such as urbanization and changes of observing environments cause inhomogeneity of wind speed series at some meteorological stations, so corrections need to be done when using this kind of wind speed data. Using the Dongshan meteorological station as a case study, the influence of buildings on wind speed data was analyzed by a CFD method in terms of five year wind speed data before and after the building erected, and the data of the 10 in tions historical evolution of observing environments. The results indicate that the influence of buildings on wind speed varies with the relative positions of wind measurement mast. The buildings in the north side of the station influences northerly wind speed significantly. According to the influence of buildings on the different wind speed, it can be learnt that the relationship between simulated and observed wind speeds is a linear correlation, so a correction formula of wind is established by this correlation relationship. The influence of buildings on north wind speed is generally eliminated after correction. The other obstacles should be taken into account when revising wind speed of NNE direction because of light influence of buildings on NNE wind. It is proved that CFD could be applied for quantitative evaluations of influence of buildings on wind speed, thus wind speed series of station could be rebuilt.

Key words: Observing environments, CFD (computational fluid dynamics), Wind speed revision