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Research Article

Transport characteristics of PM2.5 inside urban street canyons: The effects of trees and vehicles

Xinming Jin, Lijun Yang( ), Xiaoze Du, Yongping Yang
Key Laboratory of Condition Monitoring and Control for Power Plant Equipments of Ministry of Education, School of Energy Power and Mechanical Engineering, North China Electric Power University, Beijing 102206, China
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Abstract

Particles emitted from vehicles can threaten human health. Therefore the investigations about the particle dispersion characteristics inside the street canyon are of significance. For the current work, the airflow fields and the particle movement inside an isolated street canyon with three aspect ratios under perpendicular wind direction and two typical wind speeds are studied numerically, for which the particle distributions are obtained by solving the drift-flux model. The conclusions demonstrate that the trees will result in the particles gathering. However, the particle deposition fluxes on the trees are so small which cannot effectively remove the particles from the ambient air. Besides, the vehicles tend to cluster particles around the street axis and slow down the dispersion to the curbside buildings. Therefore, the vehicles should not be ignored in the numerical models, especially for the cases in the wind direction of 90°. Moreover the cases with the aspect ratio of 0.5 are more sensitive to the effects of trees and vehicles. The shop vendors expose to the highest particle concentrations in most of the scenarios.

Keywords

street canyonairflow patternPM2.5trees and vehicles

References

 
ANSYS (2010). ANSYS FLUENT Theory Guide, Canonsburg, PA, USA: ANSYS Inc.
 
JH Amorim, V Rodrigues, R Tavares, J Valente, C Borrego (2013). CFD modelling of the aerodynamic effect of trees on urban air pollution dispersion. Science of Total Environment, 461–462: 541–551.
Crossref Google Scholar
 
SA Ayo, N Mohd-Ghazali, S Mansor (2015). Outdoor ventilation performance of various configurations of a layout of two adjacent buildings under isothermal conditions. Building Simulation, 8: 81–98.
Crossref Google Scholar
 
R Buccolieri, C Gromke, S Di Sabatino, B Ruck (2009). Aerodynamic effects of trees on pollutant concentration in street canyons. Science of Total Environment, 407: 5247–5256.
Crossref Google Scholar
 
CK Chau, EY Tu, DWT Chan, J Burnett (2002). Estimating the total exposure to air pollutants for different population age groups in Hong Kong. Environment International, 27: 617–630.
Crossref Google Scholar
 
F Chen, SCM Yu, ACK Lai (2006). Modeling particle distribution and deposition in indoor environments with a new drift-flux model. Atmospheric Environment, 40: 357–367.
Crossref Google Scholar
 
Chen Y, Ebenstein A, Greenstone M, Li HB (2013). Evidence on the impact of sustained exposure to air pollution on life expectancy from China’s Huai River policy. PNAS, 110: 12936–12941.10.1073/pnas.1300018110
Crossref Google Scholar
 
WC Cheng, C-H Liu, DYC Leung (2009). On the comparison of the ventilation performance of street canyons of different aspect ratios and Richardson number. Building Simulation, 2: 53–61.
Crossref Google Scholar
 
COST (2011). COST Action 732. Quality assurance and improvement of micro-scale meteorological models. Available at http://www.mi.uni-hamburg.de/Home.484.0.html.
 
PY Cui, Z Li, WQ Tao (2016). Buoyancy flows and pollutant dispersion through different scale urban areas: CFD simulations and wind-tunnel measurements. Building and Environment, 104: 76–91.
Crossref Google Scholar
 
DW Dockery, CA Pope, X Xu, JD Spengler, JH Ware, ME Fay, BG Ferris Jr, FE Speizer (1993). An association between air pollution and mortality in six U.S. cities. The New England Journal of Medicine, 329: 1753–1759.
Crossref Google Scholar
 
N Duan (1982). Models for human exposure to air pollution. Environment International, 8: 305–309.
Crossref Google Scholar
 
NP Gao, JL Niu, M Perino, P Heiselberg (2008). The airborne transmission of infection between flats in high-rise residential buildings: Tracer gas simulation, Building and Environment, 43: 1805–1817.
Crossref Google Scholar
 
SR Green (1992). Modelling turbulent air flow in a stand of widely-spaced trees. The PHOENICS Journal of Computational Fluid Dynamics and Its Applications, 5: 294–312.
Google Scholar
 
C Gromke, R Buccolieri, S Di Sabatino, B Ruck (2008). Dispersion study in a street canyon with tree planting by means of wind tunnel and numerical investigations—Evaluation of CFD data with experimental data. Atmospheric Environment, 42: 8640–8650.
Crossref Google Scholar
 
C Gromke, B Ruck (2012). Pollutant concentrations in street canyons of different aspect ratio with avenues of trees for various wind directions. Boundary-Layer Meteorology, 144: 41–64.
Crossref Google Scholar
 
MZ Jacobson (2005). Fundamentals of Atmospheric Modeling, 2nd edn. Cambridge, UK: Cambridge University Press.
Crossref
 
W Ji, B Zhao (2014). Numerical study of the effects of trees on outdoor particle concentration distributions. Building Simulation, 7: 417–427.
Crossref Google Scholar
 
S Jin, J Guo, S Wheeler, L Kan, S Che (2014). Evaluation of impacts of trees on PM2.5 dispersion in urban streets. Atmospheric Environment, 99: 277–287.
Crossref Google Scholar
 
JC Kaimal, JJ Finnigan (1994). Atmospheric Boundary Layer Flows: Their Structure and Measurement. Oxford: Oxford University Press.
Crossref
 
PM Klein, JM Galvez (2015). Flow and turbulence characteristics in a suburban street canyon. Environmental Fluid Mechanics, 15: 419–438.
Crossref Google Scholar
 
NE Klepeis, WC Nelson, WR Ott, JP Robinson, AM Tsang, P Switzer, JV Behar, SC Hern, WH Engelmann (2001). The National Human Activity Pattern Survey (NHAPS): A resource for assessing exposure to environmental pollutants. Journal of Exposure Analysis and Environmental Epidemiology, 11: 231–252.
Crossref Google Scholar
 
ACK Lai, WW Nazaroff (2000). Modeling indoor particle deposition from turbulent flow onto smooth surfaces. Journal of Aerosol Science, 31: 463–476.
Crossref Google Scholar
 
B Lalic, DT Mihailovic (2004). An empirical relation describing leaf-area density inside the forest for environmental modeling. Journal of Applied Meteorology and Climatology, 43: 641–645.
Crossref
 
BE Launder, DB Spalding (1974). The numerical computation of turbulent flows. Computer Methods in Applied Mechanics and Engineering, 3: 269–289.
Crossref Google Scholar
 
J Liu, J Niu (2016). CFD simulation of the wind environment around an isolated high-rise building: An evaluation of SRANS, LES and DES models. Building and Environment, 96: 91–106
Crossref Google Scholar
 
K Liu, Q-b Zhou, W-b Wu, T Xia, H-j Tang (2016). Estimating the crop leaf area index using hyperspectral remote sensing. Journal of Integrative Agriculture, 15: 475–491.
Crossref Google Scholar
 
W-Z Lu, Y Xue, H-d He (2014). Detrended fluctuation analysis of particle number concentrations on roadsides in Hong Kong. Building and Environment, 82: 580–587
Crossref Google Scholar
 
RA Memon, DYC Leung, CH Liu (2010). Effects of building aspect ratio and wind speed on air temperatures in urban-like street canyons. Building and Environment, 45: 176–188.
Crossref Google Scholar
 
WW Nazaroff (2004). Indoor particle dynamics. Indoor Air, 14: 175–183.
Crossref Google Scholar
 
WY Ng, CK Chau (2014). A modeling investigation of the impact of street and building configurations on personal air pollutant exposure in isolated deep urban canyons. Science of Total Environment, 468: 429–448.
Crossref Google Scholar
 
DJ Nowak, S Hirabayashi, A Bodine, R Hoehn (2013). Modeled PM2.5 removal by trees in ten U.S. cities and associated health effects. Environmental Pollution, 178: 395–402.
Crossref Google Scholar
 
WR Ott (1982). Concept of human exposure to air pollution. Environmental International, 7: 179–186.
Crossref Google Scholar
 
A Petroff, A Mailliat, M Amielh, F Anselmet (2008). Aerosol dry deposition on vegetative canopies. Part II: A new modelling approach and applications. Atmospheric Environment, 42: 3654– 3683.
Crossref Google Scholar
 
A Petroff, L Zhang, SC Pryor, Y Belot (2009). An extended dry deposition model for aerosols onto broadleaf canopies. Journal of Aerosol Science, 40: 218–240.
Crossref Google Scholar
 
SM Salim, R Buccolieri, A Chan, S Di Sabatino (2011). Numerical simulation of atmospheric pollutant dispersion in an urban street canyon: Comparison between RANS and LES. Journal of Wind Engineering and Industrial Aerodynamics, 99: 103–113.
Crossref Google Scholar
 
JL Santiago, F Martín, A Cuerva, N Bezdenejnykh, A Sanz-Andrés (2007). Experimental and numerical study of wind flow behind windbreaks. Atmospheric Environment, 41: 6406–6420.
Crossref Google Scholar
 
M Scungio, F Arpino, L Stabile, G Buonanno (2013). Numerical Simulation of Ultrafine Particle Dispersion in Urban Street Canyons with the Spalart-Allmaras Turbulence Model. Aerosol and Air Quality Research, 13: 1423–1437.
Crossref Google Scholar
 
M Scungio, F Arpino, G Cortellessa, G Buonanno (2015). Detached eddy simulation of turbulent flow in isolated street canyons of different aspect ratios. Atmospheric Pollution Research, 6: 351–364.
Crossref Google Scholar
 
X Shen, Z Yao, H Huo, K He, Y Zhang, H Liu, Y Ye (2014). PM2.5 emissions from light-duty gasoline vehicles in Beijing, China. Science of Total Environment, 487: 521–527.
Crossref Google Scholar
 
JT Steffens, DK Heist, SG Perry, KM Zhang (2013). Modeling the effects of a solid barrier on pollutant dispersion under various atmospheric stability conditions. Atmospheric Environment, 69: 76–85.
Crossref Google Scholar
 
JT Steffens, YJ Wang, KM Zhang (2012). Exploration of effects of a vegetation barrier on particle size distributions in a near-road environment. Atmospheric Environment, 50: 120–128.
Crossref Google Scholar
 
AS Thom (1972). Momentum, mass and heat exchange of vegetation. Quarterly Journal of the Royal Meteorological Society, 98: 124–134.
Crossref Google Scholar
 
PEJ Vos, B Maiheu, J Vankerkom, S Janssen (2013). Improving local air quality in cities: To tree or not to tree? Environmental Pollution, 183: 113–122.
Crossref Google Scholar
 
YJ Wang, A DenBleyker, E McDonald-Buller, D Allen, KM Zhang (2011). Modeling the chemical evolution of nitrogen oxides near roadways. Atmospheric Environment, 45: 43–52.
Crossref Google Scholar
 
YJ Wang, KM Zhang (2009). Modeling near-road air quality using a computational fluid dynamics model, CFD-VIT-RIT. Environmental Science and Technology, 43: 7778–7783.
Crossref Google Scholar
 
JD Wilson (2004). Oblique, stratified winds about a shelter fence. Part I: Measurements. Journal of Applied Meteorology and Climatology, 43: 1149–1167.
Crossref
 
X Xie, Z Huang, J Wang, Z Xie (2005). The impact of solar radiation and street layout on pollutant dispersion in street canyon. Building and Environment, 40: 201–212.
Crossref Google Scholar
 
F Yang, Y Gao, K Zhong, Y Kang (2016). Impacts of cross-ventilation on the air quality in street canyons with different building arrangements. Building and Environment, 104: 1–12.
Crossref Google Scholar
 
F Yang, Y Kang, Y Gao, K Zhong (2015). Numerical simulations of the effect of outdoor pollutants on indoor air quality of buildings next to a street canyon. Building and Environment, 87: 10–22.
Crossref Google Scholar
 
L Zhang, S Gong, J Padro, L Barrie (2001). A size-segregated particle dry deposition scheme for an atmospheric aerosol module. Atmospheric Environment, 35: 549–560.
Crossref Google Scholar
Building Simulation
Volume 10 Issue 3,
June 2017
Pages 337-350
DOI: 10.1007/s12273-016-0324-1
Cite this article:
Jin X, Yang L, Du X, et al. Transport characteristics of PM2.5 inside urban street canyons: The effects of trees and vehicles. Building Simulation, 2017, 10(3): 337-350. https://doi.org/10.1007/s12273-016-0324-1

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Received: 09 June 2016
Revised: 24 July 2016
Accepted: 10 August 2016
Published: 28 September 2016
© Tsinghua University Press and Springer-Verlag Berlin Heidelberg 2016
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