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中国广州街道峡谷树木对 CO2 吸收/排放和空气动力学效应的影响。

CO2 absorption/emission and aerodynamic effects of trees on the concentrations in a street canyon in Guangzhou, China.

机构信息

Dept. of Applied Mechanics and Engineering, Sun Yat-sen University, Guangzhou 510275, China.

出版信息

Environ Pollut. 2013 Jun;177:4-12. doi: 10.1016/j.envpol.2013.01.016. Epub 2013 Mar 1.

Abstract

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.

摘要

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。

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