Skip to main content

Advertisement

Log in

Numerical simulations of the effect of building configurations and wind direction on fine particulate matters dispersion in a street canyon

  • Original Article
  • Published:
Environmental Fluid Mechanics Aims and scope Submit manuscript

Abstract

To explore the effect of traffic emissions on air quality within street canyon, the wind flow and pollutant dispersion distribution in urban street canyons of different H/W, building gap and wind direction are studied and discussed by 3D computational fluid dynamics simulations. The largest PM2.5 concentrations are 46.4, 37.5, 28.4 µg/m3 when x = − 88, − 19.3, − 19.3 m in 1.5 m above the ground level and the ratio of H/W is 1:1, 1:2 and 2:1, respectively. The flow around the top of the building and clearance flow between the buildings in street canyon influence by different H/W, which affected the diffusion of fine particulate matters. The largest PM2.5 concentrations are 88.1, 31.6 and 33.7 µg/m3 when x = 148.0, − 92.3 and − 186.7 m above the ground level of 1.5 m height and the building gap of 0, 20 and 40%, respectively. The air flows are cut by the clearance in the street canyons, and present the segmental characteristics. The largest PM2.5 concentrations are 10.6, 11.2 and 16.0 µg/m3 when x = 165.3 m, x = 58.0 and 1.5 m above the ground level of 1.5 m height and wind direction of the parallel to the street, perpendicular to the street and southwest, respectively. Modelled PM2.5 concentrations are basic agreement with measured PM2.5 concentrations for southwest wind direction. These results can help analyze the difussion of PM2.5 concentration in street canyons and urban planning.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

References

  1. Yuan C, Ng E, Norford LK (2014) Improving air quality in high-density cities by understanding the relationship between air pollutant dispersion and urban morphologies. Build Environ 71:245–258

    Article  Google Scholar 

  2. O’Neill JJ, Cai X-M, Kinnersley R (2016) Stochastic backscatter modelling for the prediction of pollutant removal from an urban street canyon: a large-eddy simulation. Atmos Environ 142:9–18

    Article  Google Scholar 

  3. Ginzburg H, Liu X, Baker M, Robert Shreeve RKM, Jayanty DC, Zielinska B (2015) Monitoring study of the near-road PM2.5 concentrations in Maryland. J Air Waste Manag Assoc 65:1062–1071

    Article  Google Scholar 

  4. Di Sabatino S, Buccolieri R, Pulvirenti B, Britter R (2007) Simulations of pollutant dispersion within idealised urban-type geometries with CFD and integral models. Atmos Environ 41:8316–8329

    Article  Google Scholar 

  5. Gromke C, Buccolieri R, Di Sabatino S, Ruck B (2008) Dispersion study in a street canyon with treeplanting bymeans of wind tunnel and numerical investigations—evaluation of CFD data with experimental data. Atmos Environ 42:8640–8650

    Article  Google Scholar 

  6. Mochida A, Tabata Y, Iwata T, Yoshino H (2008) Examining tree canopy models for CFD prediction of wind environment at pedestrian level. J Wind Eng Ind Aerodyn 96:1667–1677

    Article  Google Scholar 

  7. Leitl BM, Meroney RN (1997) Car exhaust dispersion in a street canyon. Numerical critique of a wind tunnel experiment. J Wind Eng Ind Aerodyn 67–68:293–304

    Article  Google Scholar 

  8. Chang C-H, Meroney RN (2003) Concentration and flow distributions in urban street canyons: wind tunnel and computational data. J Wind Eng Ind Aerodyn 91(9):1141–1154

    Article  Google Scholar 

  9. Blackman K, Perret L, Savory E, Piquet T (2015) Field and wind tunnel modeling of an idealized street canyon flow. Atmos Environ 106:139–153

    Article  Google Scholar 

  10. Dobre A, Arnold SJ, Smalley RJ, Boddy JWD, Barlow JF, Tomlin AS, Belcher SE (2005) Flow field measurements in the proximity of an urban intersection in London, UK. Atmos Environ 39(26):4647–4657

    Article  Google Scholar 

  11. Gromke C, Ruck B (2007) Influence of trees on the dispersion of pollutants in an urban street canyon—experimental investigation of the flow and concentration field. Atmos Environ 41(16):3287–3302

    Article  Google Scholar 

  12. Longley ID, Gallagher MW, Dorsey JR, Flynn M, Bower KN, Allan JD (2004) Street canyon aerosol pollutant transport measurements. Sci Total Environ 334–335:327–336

    Article  Google Scholar 

  13. Garcia J, Cerdeira R, Tavares N, Coelho LMR, Kumar P, Carvalho MG (2013) Influence of virtual changes in building configurations of a real street canyon on the dispersion of PM10. Urban Clim 5:68–81

    Article  Google Scholar 

  14. Liu CH, Barth MC, Leung DYC (2004) Large-eddy simulation of flow and pollutant transport in street canyons of different building-height-to-street-width ratios. J Appl Meteorol 43:1410–1424

    Article  Google Scholar 

  15. Kim J-J, Baik J-J (2004) A numerical study of the effects of ambient wind direction on flow and dispersion in urban street canyons using the RNG k–ε turbulence model. Atmos Environ 38:3039–3048

    Article  Google Scholar 

  16. Kumar P, Fennell P, Britter R (2008) Effect of wind direction and speed on the dispersion of nucleation and accumulation mode particles in an urban street canyon. Sci Total Environ 402:82–94

    Article  Google Scholar 

  17. Sini JF, Anquetin S, Mestayer PG (1996) Pollutant dispersion and thermal effects in urban street canyons. Atmos Environ 30:2659–2677

    Article  Google Scholar 

  18. Holmes NS, Morawska L (2006) A review of dispersion modelling and its application to the dispersion of particles: an overview of different dispersion models available. Atmos Environ 40:5902–5928

    Article  Google Scholar 

  19. Kumar P, Garmory A, Ketzel M, Berkowicz R, Britter R (2009) Comparative study of measured and modelled number concentrations of nanoparticles in an urban street canyon. Atmos Environ 43:949–958

    Article  Google Scholar 

  20. Chen RH, Wang BQ, Wang ZB, Yao S (2015) The pollution character analysis and risk assessment for meatas in dust and PM10 around road from China. Biomed Environ Sci 28(1):44–56

    Google Scholar 

  21. Wang B, Liu J, Ren Z, Chen R (2016) Concentrations, properties, and health risk of PM in the Tianjin City subway system. Environ Sci Pollut Res 23(22):22647–22657

    Article  Google Scholar 

  22. Wang B, Liu J, Liu B, Niu H, Chen R, Wang Z, Zhao J, Ren Z (2017) Personal exposure to PM2.5 associated with heavy metals in four travel modes of Tianjin during the summer season. Environ Sci Pollut Res 24(7):6667–6678

    Article  Google Scholar 

  23. Murena F, Favale G, Vardoulakis S, Solazzo E (2009) Modelling dispersion of traffic pollution in a deep street canyon: application of CFD and operational models. Atmos Environ 43:2303–2311

    Article  Google Scholar 

  24. Solazzo E, Cai X, Vardoulakis S (2008) Modelling wind flow and vehicle-induced turbulence in urban streets. Atmos Environ 42:4918–4931

    Article  Google Scholar 

  25. Murakami S (2006) Environmental design of outdoor climate based on CFD. Fluid Dyn Res 38:108–126

    Article  Google Scholar 

  26. Ministry of Housing and Urban-Rural Development of the People’s Republic of China (MOHURD) (2012) Load code for the design of building structures of China (GB50009-2012). China Architecture & Building Press, Beijing

    Google Scholar 

  27. Walton A, Cheng YS (2002) Large-eddy simulation of pollution dispersion in an urban street canyond part II: idealised canyon simulation. Atmos Environ 36:3615–3627

    Article  Google Scholar 

  28. Garmory A, Kim IS, Britter RE, Mastorakos E (2008) Simulations of the dispersion of reactive pollutants in a street canyon, considering different chemical mechanisms and micromixing. Atmos Environ 43(31):4670–4680

    Article  Google Scholar 

  29. Park SK, Kim SD, Lee H (2004) Dispersion characteristics of vehicle emission in an urban street canyon. Sci Total Environ 323:263–271

    Article  Google Scholar 

  30. Zhang Q, Crooks R (2012) Toward an environmentally sustainable future: country environmental analysis of the People’s Republic of China. Asian Development Bank, Mandaluyong

    Google Scholar 

  31. Huang RJ, Zhang Y, Bozzetti C, Ho KF, Cao JJ, Han Y et al (2014) High secondary aerosol contribution to particulate pollution during haze events in China. Nature 514:218–222

    Article  Google Scholar 

  32. Wang Q, Zhuang G, Huang K, Liu T, Deng C, Xu J, Lin Y, Guo Z, Chen Y, Fu Q, Fu JS, Chen J (2015) Probing the severe haze pollution in three typical regions of China: characteristics, sources and regional impacts. Atmos Environ 120:76–88

    Article  Google Scholar 

Download references

Acknowledgements

This study was supported by National Natural Science Foundation of China (21777076), Scholarship from the Chinese Scholarship Council (No. 201406205010) and Environmental protection commonweal industry scientific research project (No. 201009032).

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Baoqing Wang or Yuhong Liu.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Niu, H., Wang, B., Liu, B. et al. Numerical simulations of the effect of building configurations and wind direction on fine particulate matters dispersion in a street canyon. Environ Fluid Mech 18, 829–847 (2018). https://doi.org/10.1007/s10652-017-9563-7

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10652-017-9563-7

Keywords

Navigation