2020
DOI: 10.1016/j.scs.2020.102331
|View full text |Cite
|
Sign up to set email alerts
|

How dynamic growth of avenue trees affects particulate matter dispersion: CFD simulations in street canyons

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
8
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 37 publications
(10 citation statements)
references
References 72 publications
0
8
0
Order By: Relevance
“…To improve the microclimate and street thermal comfort in summer especially during extremely hot weather, various factors should be combined, e.g., improved street wind condition [43], practical street orientation [28,36], and landscape planning [25,76] as suggested by Lai et al [77].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…To improve the microclimate and street thermal comfort in summer especially during extremely hot weather, various factors should be combined, e.g., improved street wind condition [43], practical street orientation [28,36], and landscape planning [25,76] as suggested by Lai et al [77].…”
Section: Discussionmentioning
confidence: 99%
“…In-canyon vegetation exhibits a relatively larger cooling effect during daytime than at night [42]. Tree height, crown diameter, and volume are primary factors affecting the pedestrian level of particulate matter reduction ratio, whereas leaf area index (LAI) has a comparatively low influence [43]. However, trees block the airflow in street canyons, which leads to higher pollutant concentrations [44].…”
Section: Introductionmentioning
confidence: 99%
“…This means that trees need a period of stability after planting. As the growth and stabilization of the trees progressed, active PM absorption, adsorption, blocking and deposition through trees slowly emerged [11,39,40]. The physiological stabilization of trees ensures that the PM reduction in the GB zone can be maintained continuously.…”
Section: Discussionmentioning
confidence: 99%
“…(e.g., [46,50,56,61,67,70,72,73,82,83]). A total of 13 papers modelled the pollutant as a particulate matter (PM), which included both PM10 and PM2.5 [48,74,77,[84][85][86][87][88][89][90][91][92][93]. In addition, the pollutant in 3 studies consisted of both a gas and PM.…”
Section: Pollutant Typementioning
confidence: 99%
“…Meanwhile, some articles (e.g., [58,59,68,71,73,75,[94][95][96]) investigated the dispersion of pollutant from stack sources located on top of buildings, which is an equally important factor as it can negatively influence the air quality in the surrounding areas. In contrast, the pollutant in 3 studies [87,88,90] was injected into the computational domain from the inlet plane. Finally, a single study [97] explored the dispersion of a tracer gas released from the 3rd floor of a high-rise building.…”
Section: Source Of Emissionmentioning
confidence: 99%