A semi empirical model to evaluate urban wind environment with trees
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AbstractHigh-density urban areas are often associated with limited outdoor natural ventilation. Given the growing call for more vegetation in the cities, it is important to study the wind resistant of urban trees in order to address outdoor natural ventilation problem in the landscape planning. Currently, Computational Fluid Dynamics (CFD) simulation and wind tunnel experiment can only model the simplified street canyon with roadside trees, at the expense of intensive technical support and high computational cost. Thus, the impact of research outputs on the landscape planning remains low.

In this study, we developed a practical semi-empirical model to provide scientific understandings for the landscape planning practice. This research correlated the urban density and tree geometry indices with wind speed, thereby enabling planners to calculate trees' effects on airflow using their in-house data. This knowledge-based landscape planning allows to introduce more trees into urban areas, while avoiding negative effects of trees on the outdoor wind environment at cities at the same time.
All Author(s) ListChao Yuan, Leslie K. Norford, Edward Ng
Name of Conference10th International Conference on Urban Climate
Start Date of Conference06/08/2018
End Date of Conference10/08/2018
Place of ConferenceNew York
Country/Region of ConferenceUnited States of America
Year2018
LanguagesEnglish-United States
KeywordsUrban Wind Environment, Semi empirical model, trees

Last updated on 2018-19-10 at 10:54