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Predicting the influence of subtropical trees on urban wind through wind tunnel tests and numerical simulations

Better prediction of turbulent airflow around urban trees is necessary because it impacts urban pollutant dispersion, outdoor thermal comfort, energy efficiency, pedestrian-level comfort and urban heat island mitigation. A major challenge is how to obtain an accurate numerical model of the turbulent flow field around trees and an improved parameterization of the turbulent momentum deficit using the drag coefficient (Cd). To address this challenge, we use wind tunnel tests and real trees to measure Cd for four common subtropical tree species: Ficus microcarpa, Mangifera indica, Michelia alba and Bauhinia blakeana. The results show that the Cd of the four trees ranges from 0.523 to 0.932, and that the negative relationship between Cd and wind speed (U) can be expressed by the exponential formula Cd=a*U−b. A three-dimensional model of wind modification by trees is proposed, and its accuracy is verified with wind tunnel measurements. With precise Cd and model, the predictability of the influence of trees on urban wind in subtropical areas is enhanced (root mean square error RMSE ranging from 2.89 m/s to 0.45 m/s). Future development and applications of the numerical model will help provide useful guidelines for urban landscape management and sustainable urban planning in terms of urban ventilation.
- Guangdong University of Technology China (People's Republic of)
- South China University of Technology China (People's Republic of)
- The Ohio State University United States
- Vrije Universiteit Amsterdam Netherlands
- South China University of Technology China (People's Republic of)
Planning and Development, Geography, Sustainability and the Environment, Urban heat island, Urban ventilation, Transportation, Wind tunnel test, Turbulent flow model, Renewable Energy, Tree drag coefficient, Civil and Structural Engineering
Planning and Development, Geography, Sustainability and the Environment, Urban heat island, Urban ventilation, Transportation, Wind tunnel test, Turbulent flow model, Renewable Energy, Tree drag coefficient, Civil and Structural Engineering
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).31 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
