2016
DOI: 10.1016/j.envpol.2015.07.039
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On the use of numerical modelling for near-field pollutant dispersion in urban environments − A review

Abstract: This article deals with the state-of-the-art of experimental and numerical studies carried out regarding air pollutant dispersion in urban environments. Since the simulation of the dispersion field around buildings depends strongly on the correct simulation of the wind-flow structure, the studies performed during the past years on the wind-flow field around buildings are reviewed. This work also identifies errors that can produce poor results when numerically modelling wind flow and dispersion fields around bu… Show more

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Cited by 239 publications
(127 citation statements)
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References 203 publications
(226 reference statements)
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“…[22][23][24][25][26][27][136][137][138]. Given that the prediction accuracy of CFD in pollutant dispersion with highly buoyant flow fields has not been clarified yet, further studies are necessary in this area.…”
Section: What Are the Advantages And Limitations Of Cfd For Near-fielmentioning
confidence: 97%
See 1 more Smart Citation
“…[22][23][24][25][26][27][136][137][138]. Given that the prediction accuracy of CFD in pollutant dispersion with highly buoyant flow fields has not been clarified yet, further studies are necessary in this area.…”
Section: What Are the Advantages And Limitations Of Cfd For Near-fielmentioning
confidence: 97%
“…[22][23][24][25][26][27], because it can provide whole flow and dispersion field data and be performed at full scale. The method does not suffer from similarity requirements and this is a great advantage.…”
Section: Introductionmentioning
confidence: 99%
“…Flow and pollutant dispersion from street-scale to neighbourhood-scale have been widely investigated, often coupling wind tunnel/field experiments with CFD simulations [14][15][16]. Recently, several works have provided in-depth reviews of the state of both dispersion physics and computational wind engineering [17,18]. The Reynoldsaveraged Navier-Stokes equation (RANS) methods are amongst the most preferable procedures used to model urban dispersion problems, mainly due to their relatively inexpensive computational costs.…”
Section: Introductionmentioning
confidence: 99%
“…A better understanding of the overall urban microclimate, and all the physical-and chemical-related processes, requires not only accurate measurements but also numerical and physical modeling of the exchanges within the urban atmospheric boundary layer [15,16]. In recent years, several studies have been performed using physical models, such as wind tunnel simulations, experimental campaigns and numerical models [17][18][19][20][21][22][23][24][25][26][27][28][29]. In particular, computational fluid dynamics (CFD) models have been used to compute turbulent flow dynamics and atmospheric pollutant dispersion within the urban surface layer.…”
Section: Introductionmentioning
confidence: 99%