Dept. of Applied Mechanics and Engineering, Sun Yat-sen University, Guangzhou 510275, China.
Environ Pollut. 2013 Jun;177:4-12. doi: 10.1016/j.envpol.2013.01.016. Epub 2013 Mar 1.
In this paper, the effects of trees on CO2 concentrations in a street canyon in Guangzhou, China are examined by Computational Fluid Dynamics (CFD) simulations of the concentration distribution, taking into account both the CO2 absorption/emission and aerodynamic effects of trees. Simulation results show that, under a 2 m/s southerly prevailing wind condition, CO2 absorption by trees will reduce the CO2 concentration by around 2.5% in the daytime and at the same time the trees' resistance will increase the difference of CO2 concentrations in the street and at the inflow by 43%. As the traffic density increases to 50 vehicles/min, the effect of trees on the ambient CO2 concentration will change from positive to negative. At night, trees have a negative effect on the concentration in the street canyon mainly because of their resistance to airflow. When environmental wind changes, the effect of trees will be different.
本文通过对浓度分布的计算流体动力学(CFD)模拟,考虑了树木的 CO2 吸收/排放和空气动力效应,研究了树木对中国广州街道峡谷中 CO2 浓度的影响。模拟结果表明,在 2m/s 的南风主导风条件下,树木的 CO2 吸收将使白天 CO2 浓度降低约 2.5%,同时树木的阻力将使街道和流入处的 CO2 浓度差增加 43%。随着交通密度增加到 50 辆/分钟,树木对环境 CO2 浓度的影响将由正变为负。夜间,树木对街道峡谷中浓度的负面影响主要是由于其对气流的阻力。当环境风发生变化时,树木的影响也会不同。