2020
DOI: 10.1007/s40726-020-00166-0
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Impact Factors on Airflow and Pollutant Dispersion in Urban Street Canyons and Comprehensive Simulations: a Review

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Cited by 41 publications
(21 citation statements)
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“…When the wind blows perpendicularly in a street canyon, two dominating flow phenomena occur in the central part and corners at either end [14,34]. In the simulated results of this study [34], a flow was observed down the windward wall, which traversed up to the top of the leeward wall that was parallel to the wind direction regardless of the road width. This was influenced by the external flow at the top, which led to the formation of a clockwise main vortex driven by the sheer force through the street [68].…”
Section: Changes In Flow According To Vegetation Configurationmentioning
confidence: 63%
See 1 more Smart Citation
“…When the wind blows perpendicularly in a street canyon, two dominating flow phenomena occur in the central part and corners at either end [14,34]. In the simulated results of this study [34], a flow was observed down the windward wall, which traversed up to the top of the leeward wall that was parallel to the wind direction regardless of the road width. This was influenced by the external flow at the top, which led to the formation of a clockwise main vortex driven by the sheer force through the street [68].…”
Section: Changes In Flow According To Vegetation Configurationmentioning
confidence: 63%
“…Previous studies have examined the factors affecting air pollutant distributions along urban streets through wind tunnel tests, numerical simulations, or combinations of experimental methods. In particular, models based on computation fluid dynamics (CFD) have effectively explained the influence of the ratio of the street width to building height, vegetation characteristics, noise barriers or boundary walls, and individual buildings on the flow and diffusion of air pollutants [1,34]. Studies on the effects of vegetation on pollutant concentrations have revealed a relationship among the tree crown size, porosity, leaf area density (LAD), tree height, and planting interval [35][36][37][38][39][40][41][42][43][44].…”
Section: Introductionmentioning
confidence: 99%
“…The concentration at the pedestrian level decreased by nearly 42% after half an hour when the steady-state airflow field was the initial field in the time-varying inflow simulation. Therefore, Zhang et al [59,60] concluded that the influence of time-varying inflows was significant and should not be ignored. Table 2 Overview of studies on the effect of time-varying inflows…”
Section: Time-varying Inflowmentioning
confidence: 99%
“…URANS predicted slightly better pollutant concentration than RANS, but since it was not able to capture the fluctuations of the turbulent flow, it was not as numerically efficient as LES. The review by Zhang et al [16] is another good source of information for comparing different methods. Recently, Son et al [14] evaluated wind environments around multiple urban canyons through the k − turbulence termination method that was inspired by the renormalization group (RNG) theory for turbulence parametrization as part of an initial assessment with scopes of further exploration in terms of weather or other coefficients correlating to the wind environment.…”
Section: Introductionmentioning
confidence: 99%