Study of traffic-related pollutant removal from street canyon with trees: dispersion and deposition perspective
Numerical experiments involving street canyons of varying aspect ratio with traffic-induced pollutants (PM 2.5 ) and implanted trees of varying aspect ratio, leaf area index, leaf area density distribution, trunk height, tree-covered area, and tree planting pattern under different wind conditions we...
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Veröffentlicht in: | Environmental science and pollution research international 2016-11, Vol.23 (21), p.21652-21668 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Numerical experiments involving street canyons of varying aspect ratio with traffic-induced pollutants (PM
2.5
) and implanted trees of varying aspect ratio, leaf area index, leaf area density distribution, trunk height, tree-covered area, and tree planting pattern under different wind conditions were conducted using a computational fluid dynamics (CFD) model, ENVI-met. Various aspects of dispersion and deposition were investigated, which include the influence of various tree configurations and wind condition on dispersion within the street canyon, pollutant mass at the free stream layer and street canyon, and comparison between mass removal by surface (leaf) deposition and mass enhancement due to the presence of trees. Results revealed that concentration level was enhanced especially within pedestrian level in street canyons with trees relative to their tree-free counterparts. Additionally, we found a dependence of the magnitude of concentration increase (within pedestrian level) and decrease (above pedestrian level) due to tree configuration and wind condition. Furthermore, we realized that only ∼0.1–3 % of PM
2.5
was dispersed to the free stream layer while a larger percentage (∼97 %) remained in the canyon, regardless of its aspect ratio, prevailing wind condition, and either tree-free or with tree (of various configuration). Lastly, results indicate that pollutant removal due to deposition on leaf surfaces is potentially sufficient to counterbalance the enhancement of PM
2.5
by such trees under some tree planting scenarios and wind conditions |
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ISSN: | 0944-1344 1614-7499 |
DOI: | 10.1007/s11356-016-7322-9 |