How dynamic growth of avenue trees affects particulate matter dispersion: CFD simulations in street canyons
How dynamic growth of avenue trees affects particulate matter dispersion: CFD simulations in street canyons
复制标题
行道树的动态生长如何影响颗粒物扩散:街道峡谷的 CFD 模拟
DOI:
10.1016/j.scs.2020.102331
复制
发表时间:
2020-10
影响因子:
11.7
通讯作者:
Zhang Ting
中科院分区:
文献类型:
--
作者:
Qin Hongqiao;Hong Bo;Huang Boze;Cui Xue;Zhang Ting
This study combined parameterized tree growth model, Reynolds Averaged Navier–Stokes model and revised generalized drift flux model to investigate the effect of dynamic growth of avenue trees on atmospheric particulate pollution dispersion in street canyons. We tested conditions with three street canyon aspect ratios (H/W = 0.45, 0.9 and 1.8) and five common avenue tree species (Gingko biloba, Aesculus chinensis, Acer buergerianum, Liriodendron chinenseandCedrus deodar). Results demonstrated that: 1) Avenue tree age was strongly correlated with their height and crown diameter (R2≥ 0.71). 2) PM reduction ratio increased significantly as tree age increased.G. bilobawas the most effective at removing the pedestrian-level PM10, whileL. chinenses has the greatest capacity to reduce pedestrian-level PM2.5. 3) Pedestrian-level PM on the windward street-side was positively related to H/W ratios. Maximum PM was measured on the leeward street-side at H/W = 0.9. 4) Tree height, crown diameter and crown volume in the street canyons were the primary factors affecting the pedestrian-level PM reduction ratio, while leaf area index and crown base height had less influence. Our results could provide guidelines for selecting avenue trees within street canyons and appropriate biometric characteristics during different plant stages to enhance urban sustainability.
登录
查看更多内容
影响因子:
4.3
作者:
G. Katul;L. Mahrt;D. Poggi;Christophe Sanz
通讯作者:
G. Katul;L. Mahrt;D. Poggi;Christophe Sanz
影响因子:
11.7
作者:
Xue, Fei;Li, Xiaofeng
通讯作者:
Li, Xiaofeng
影响因子:
8.9
作者:
Hofman, Jelle;Stokkaer, Ines;Samson, Roeland
通讯作者:
Samson, Roeland
影响因子:
8.9
作者:
Chen, Lixin;Liu, Chenming;Zhang, Zhiqiang
通讯作者:
Zhang, Zhiqiang
影响因子:
3.8
作者:
Perini, Katia;Ottele, Marc;Roccotiello, Enrica
通讯作者:
Roccotiello, Enrica