Skip to main content
SpringerLink
Log in

Numerical simulation of pollutant dispersion in the residential areas with continuous grass barriers

  • Original Paper
  • Published:
International Journal of Environmental Science and Technology Aims and scope Submit manuscript

Abstract

In this paper, numerical modeling of the movement and dispersion of pollutant emissions between houses as well as the effect of a continuous barrier on the spread of pollutants was considered. To solve this problem, a system of Reynolds-averaged Navier–Stokes equations was used, and various turbulent models were applied to close this equation system. To test the mathematical model, the numerical algorithm and the choice of the optimal turbulent model, the test problem was solved numerically. The obtained numerical results were compared with experimental data and the results of modeling by other authors. After checking the mathematical model, the numerical algorithm and the choice of the optimal turbulent model, the main problem describing the process of pollutant emissions between houses using continuous grass barriers was solved. In this problem, the distribution of pollutants was considered when using herbal barriers and the optimal height for these barriers was chosen. For the simulation, the RNG k-epsilon turbulence model was applied, which was chosen from the obtained results of the test problem. The numerical simulation results were compared with the obtained calculated data using different heights of solid grass barriers. And it was found that when using a solid grass barrier with a height of 0.1 m, the concentration value drops by more than 1.5 times compared with that without using a barrier, and further increasing the height of the barrier does not give the desired result.

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

Access this article

Log in via an institution

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

Instant access to the full article PDF.

Institutional subscriptions

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

Similar content being viewed by others

References

  • Assimakopoulos VD, ApSimon HM, Moussiopoulos N (2003) A numerical study of atmospheric pollutant dispersion in different two-dimensional street canyon configurations. Atmos Environ 37:4037–4049

    CAS  Google Scholar 

  • Baik JJ, Kang YS, Kim JJ (2007) Modeling reactive pollutant dispersion in an urban street canyon. Atmos Environ 41:934–949

    CAS  Google Scholar 

  • Baker J, Walker HL, Cai X (2004) A study of the dispersion and transport of reactive pollutants in and above street canyons—a large eddy simulation. Atmos Environ 38:6883–6892

    CAS  Google Scholar 

  • Buccolieri R, Sandberg M, Di Sabatino S (2010) City breathability and its link to pollutant concentration distribution within urban-like geometries. Atmos Environ 44:1894–1903

    CAS  Google Scholar 

  • Cai XM, Barlow JF, Belcher SE (2008) Dispersion and transfer of passive scalars in and above street canyons: large-eddy simulations. Atmos Environ 42:5885–5895

    CAS  Google Scholar 

  • Chao Y, Ruiqin S, Yangyang Z (2019) Multilayer urban canopy modelling and mapping for traffic pollutant dispersion at high density urban areas. Sci Total Environ 647:255–267

    Google Scholar 

  • Chavez M, Hajra B, Stathopoulos T, Bahloul A (2011) Near-field pollutant dispersion in the built environment by CFD and wind tunnel simulations. J Wind Eng Ind Aerodyn 99:330–339

    Google Scholar 

  • Cui PY, Li Z, Tao WQ (2016) Wind-tunnel measurements for thermal effects on the air flow and pollutant dispersion through different scale urban areas. Build Environ 97:137–151

    CAS  Google Scholar 

  • Deardorff J (1970) A numerical study of three-dimensional turbulent channel flow at large Reynolds numbers. J Fluid Mech 41(2):453–480

    Google Scholar 

  • Efthimiou GC, Berbekar E, Harms F, Bartzis JG, Leitl B (2015) Prediction of high concentrations and concentration distribution of a continuous point source release in a semi-idealized urban canopy using CFD-RANS modeling. Atmos Environ 100:48–56

    CAS  Google Scholar 

  • Gousseau P, Blocken B, Stathopoulos T, van Heijst GJF (2011a) CFD simulation of near-field pollutant dispersion on a high-resolution grid: a case study by LES and RANS for a building group in downtown Montreal. Atmos Environ 45(2):428–438

    CAS  Google Scholar 

  • Gousseau P, Blocken B, van Heijst GJF (2011b) CFD simulation of pollutant dispersion around isolated buildings: on the role of convective and turbulent mass fluxes in the prediction accuracy. J Hazard Mater 194:422–434

    CAS  Google Scholar 

  • Grawe D, Cai XM, Harrison RM (2007) Large eddy simulation of shading effects on NO2 and O3 concentrations within an idealised street canyon. Atmos Environ 41:7304–7314

    CAS  Google Scholar 

  • 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 41:3287–3302

    CAS  Google Scholar 

  • Gromke C, Buccolieri R, Di Sabatino S, Ruck B (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. Atmos Environ 42:8640–8650

    CAS  Google Scholar 

  • Gu ZL, Zhang YW, Cheng Y, Lee SC (2011) Effect of uneven building layout on air flow and pollutant dispersion in non-uniform street canyons. Build Environ 46:2657–2665

    Google Scholar 

  • Hajra B, Stathopoulos T (2012) A wind tunnel study of the effect of downstream buildings on near-field pollutant dispersion. Build Environ 52:19–31

    Google Scholar 

  • Hajra B, Stathopoulos T, Bahloul A (2011) The effect of upstream buildings on near-field pollutant dispersion in the built environment. Atmos Environ 45:4930–4940

    CAS  Google Scholar 

  • Huber AH (1991) Wind tunnel and Gaussian plume modeling of building wake dispersion. Atmos Environ 25:1237–1249

    Google Scholar 

  • Issakhov A (2014) Modeling of synthetic turbulence generation in boundary layer by using zonal RANS/LES method. Int J Nonlinear Sci Numer Simul 2014:15–120

    Google Scholar 

  • Issakhov A (2016) Mathematical modeling of the discharged heat water effect on the aquatic environment from thermal power plant under various operational capacities. Appl Math Model 40(2):1082–1096

    Google Scholar 

  • Issakhov A, Imanberdiyeva M (2019) Numerical simulation of the movement of water surface of dam break flow by VOF methods for various obstacles. Int J Heat Mass Transf 136:1030–1051

    Google Scholar 

  • Issakhov A, Mashenkova A (2019) Numerical study for the assessment of pollutant dispersion from a thermal power plant under the different temperature regimes. Int J Environ Sci Technol 16(10):6089–6112. https://doi.org/10.1007/s13762-019-02211-y

    Article  CAS  Google Scholar 

  • Issakhov A, Zhandaulet Y (2019a) Numerical simulation of thermal pollution zones’ formations in the water environment from the activities of the power plant. Eng Appl Comput Fluid Mech 13(1):279–299

    Google Scholar 

  • Issakhov A, Zhandaulet Y (2019b) Numerical study of technogenic thermal pollution zones’ formations in the water environment from the activities of the power plant. Environ Model Assess. https://doi.org/10.1007/s10666-019-09668-8

    Article  Google Scholar 

  • Issakhov A, Zhandaulet Y, Nogaev A (2018) Numerical simulation of dam break flow for various forms of the obstacle by VOF method. Int J Multiph Flow 109:191–206

    CAS  Google Scholar 

  • Issakhov A, Bulgakov R, Zhandaulet Y (2019a) Numerical simulation of the dynamics of particle motion with different sizes. Eng Appl Comput Fluid Mech 13(1):1–25

    Google Scholar 

  • Issakhov A, Bulgakov R, Zhandaulet Y (2019b) Numerical study of the dynamics of particles motion with different sizes from coal-based thermal power plant. Int J Nonlinear Sci Numer Simul. https://doi.org/10.1515/ijnsns-2018-0182

    Article  Google Scholar 

  • Kikumoto H, Ooka R (2012a) A study on air pollutant dispersion with bimolecular reactions in urban street canyons using large-eddy simulations. J Wind Eng Ind Aerodyn 2012:104–106

    Google Scholar 

  • Kikumoto H, Ooka R (2012b) A numerical study of air pollutant dispersion with bimolecular chemical reactions in an urban street canyon using large-eddy simulation. Atmos Environ 54:456–464

    CAS  Google Scholar 

  • Kikumoto H, Ooka R (2018) Large-eddy simulation of pollutant dispersion in a cavity at fine grid resolutions. Build Environ 127:127–137

    Google Scholar 

  • Kim JJ, Baik JJ (2003) Effects of inflow turbulence intensity on flow and pollutant dispersion in an urban street canyon. J Wind Eng Ind Aerodyn 91:309–329

    Google Scholar 

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

    CAS  Google Scholar 

  • Kwak KH, Baik JJ (2012) A CFD modeling study of the impacts of NOx and VOC emissions on reactive pollutant dispersion in and above a street canyon. Atmos Environ 46:71–80

    CAS  Google Scholar 

  • Li Y, Li X (2015) Natural ventilation potential of high-rise residential buildings in northern China using coupling thermal and airflow simulations. Build Environ 8:51–64

    Google Scholar 

  • Li X, Xue F (2018) Bayesian inversion of inflow direction and speed in urban dispersion simulations. Build Environ. https://doi.org/10.1016/j.buildenv.2018.08.042

    Article  Google Scholar 

  • Li XX, Liu CH, Leung DYC (2008) Large-eddy simulation of flow and pollutant dispersion in high-aspect-ratio urban street canyons with wall model. Bound Layer Meteorol 129:249–268

    Google Scholar 

  • Li C, Li X, Su Y, Zhu Y (2012) A new zero-equation turbulence model for micro-scale climate simulation. Build Environ 47:243–255

    Google Scholar 

  • Ma J, Li X, Zhu Y (2012) A simplified method to predict the outdoor thermal environment in residential district. Build Environ 5:157–167

    Google Scholar 

  • Metin B, Ulas I, Alper U (2019) Evaluation of impact of residential heating on air quality of megacity Istanbul by CMAQ. Sci Total Environ 651:1688–1697

    Google Scholar 

  • Michioka T, Sato A, Takimoto H, Kanda M (2011) Large-eddy simulation for the mechanism of pollutant removal from a two-dimensional street canyon. Bound Layer Meteorol 138:195–213

    Google Scholar 

  • Oikawa S, Meng Y (1998) A wind-tunnel study of peak concentration in the near-wake region of a cubical model building. J Jpn Soc Atmos Environ 33:151–163

    Google Scholar 

  • Oke TR (1988) Street design and urban canopy layer climate. Energy Build 11:103–113

    Google Scholar 

  • Pavageau M, Schatzmann M (1999) Wind tunnel measurements of concentration fluctuations in an urban street canyon. Atmos Environ 33:3961–3971

    CAS  Google Scholar 

  • Ramponi R, Blocken B, de Coo LB, Janssen WD (2015) CFD simulation of outdoor ventilation of generic urban configurations with different urban densities and equal and unequal street widths. Build Environ 92:152–166

    Google Scholar 

  • Rathna R, Varjani S, Nakkeeran E (2018) Recent developments and prospects of dioxins and furans remediation. J Environ Manag 223:797–806

    CAS  Google Scholar 

  • Salim SM, Cheah SC, Chan A (2011) Numerical simulation of dispersion in urban street canyons with avenue-like tree plantings: comparison between RANS and LES. Build Environ 46:1735–1746

    Google Scholar 

  • Sanchez B, Santiago JL, Martilli A, Martin F, Borge R, Quaassdorff C, de la Paz D (2017) Modelling NOx concentrations through CFD-RANS in an urban hot-spot using high resolution traffic emissions and meteorology from a mesoscale model. Atmos Environ 163:155–165

    CAS  Google Scholar 

  • Sato A, Sada K (2002) A wind tunnel experiment on tracer gas concentration fluctuation near a cubical model building. Dob Gakkai Ronbunshu 2002:41–49

    Google Scholar 

  • Smagorinsky J (1963) General circulation experiments with the primitive equations. Mon Weather Rev 91(3):99–164

    Google Scholar 

  • Spalart PR (1997) Comments on the feasibility of LES for wing and on a hybrid RANS/LES approach. In: 1st ASOSR conference on DNS/LES. Arlington, TX

  • Tan W, Li C, Wang K, Zhu G, Wang Y, Liu L (2018) Dispersion of carbon dioxide plume in street canyons. Process Saf Environ Prot 116:235–242

    CAS  Google Scholar 

  • Tominaga Y, Stathopoulos T (2010) Numerical simulation of dispersion around an isolated cubic building: model evaluation of RANS and LES. Build Environ 45:2231–2239

    Google Scholar 

  • Tominaga Y, Stathopoulos T (2011) CFD modeling of pollution dispersion in a street canyon: comparison between LES and RANS. J Wind Eng Ind Aerodyn 99:340–348

    Google Scholar 

  • Tominaga Y, Stathopoulos T (2016) Ten questions concerning modeling of near-field pollutant dispersion in the built environment. Build Environ 105:390–402

    Google Scholar 

  • Tominaga Y, Iizuka S, Imano M, Kataoka H, Mochida A, Nozu T, Ono Y, Shirasawa T, Tsuchiya N, Yoshie R (2013) Cross comparisons of CFD results of wind and dispersion fields for MUST experiment: evaluation exercises by AIJ. J Asian Archit Build Eng 12:117–124

    Google Scholar 

  • Xue F, Li X (2017) The impact of roadside trees on traffic released PM10 in urban street canyon: aerodynamic and deposition effects. Sustain Cities Soc 30:195–204

    Google Scholar 

  • Yassin MF (2011) Impact of height and shape of building roof on air quality in urban street canyons. Atmos Environ 45:5220–5229

    CAS  Google Scholar 

  • 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

    Google Scholar 

Download references

Acknowledgements

This work is supported by the grant from the Ministry of education and science of the Republic of Kazakhstan.

Author information

Authors and Affiliations

  1. al-Farabi Kazakh National University, Almaty, Republic of Kazakhstan

    A. Issakhov & P. Omarova

  2. Kazakh British Technical University, Almaty, Republic of Kazakhstan

    A. Issakhov

Authors
  1. A. Issakhov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. P. Omarova
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. Issakhov.

Ethics declarations

Conflict of interests

The authors declare that there is no conflict of interests regarding the publication of this paper.

Additional information

Editorial responsibility: S. R. Sabbagh-Yazdi.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Issakhov, A., Omarova, P. Numerical simulation of pollutant dispersion in the residential areas with continuous grass barriers. Int. J. Environ. Sci. Technol. 17, 525–540 (2020). https://doi.org/10.1007/s13762-019-02517-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s13762-019-02517-x

Keywords

Search

Navigation