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SCIENCE CHINA Technological Sciences, Volume 59 , Issue 3 : 468-475(2016) https://doi.org/10.1007/s11431-015-5997-7

Transportation characteristics of motor vehicle pollutants near Beijing typical expressway

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  • ReceivedSep 26, 2015
  • AcceptedNov 25, 2015
  • PublishedFeb 24, 2016

Abstract

As a major source of air pollution in urban areas, the motor vehicle exhaust has attracted more and more attention due to its growing amount and serious harm to human health. It is of benefit to the pollutant control to make clear the transportation characteristics of vehicle exhausts. In this paper, the transportation characteristics of vehicle exhaust pollutants are investigated by means of the on-site measurement based on a typical Beijing expressway-Badaling expressway (G6 state expressway). The concentrations of CO, NOx, SO2 and particles near the expressway were obtained, by which the variations of the particle number and mass concentrations, as well as the gas pollutant volume concentrations in the vicinity of the roadways with the distance from the expressway were fitted. The results show that the gas pollutant concentrations and particle concentrations decrease almost exponentially with the distance from the expressway, which is helpful for the air pollutant database establishment and future pollution control in big cities.


Acknowledgment

This work was supported by the National Natural Science Foundation of China (Grant No. 51476055) and National Basic Research Program of China ("973" Project) (Grant No. 2015CB251503).


References

[1] Huang H, Akutsu Y, Arai M, et al. A two-dimensional air quality model in an urban street canyon: Evaluation and sensitivity analysis. Atmos Environ, 2000, 34: 689-698. Google Scholar

[2] Kunzli N, McConnel R, Bates D, et al. Breathless in Los Angeles: the exhausting search for clean air. J Public Health, 2003, 93: 1494-1499. Google Scholar

[3] Hoek G, Brunekreef B, Goldbohm S, et al. Association between mortality and indicators of traffic-related air pollution in the Netherlands: A cohort study. Lancet, 2002, 360: 1203-1209. Google Scholar

[4] Kim J H, Lee H S, Kim H H, et al. Electrospray with electrostatic precipitator enhances fine particles collection efficiency. J Electrostat, 2010, 68: 305-310. Google Scholar

[5] Manning A J, Nicholson K J, Middleton D R, et al. Field study of wind and traffic to test a street canyon pollution model. Environ Monit Assess, 2000, 60: 283-313. Google Scholar

[6] Buckland A T. Validation of a street canyon model in two cities. Environ Monit Assess, 1998, 52: 255-267. Google Scholar

[7] Zhang K M, Wexler A S, Zhu Y F, et al. Evolution of particle number distribution near roadways. Part II: The ‘road-to-ambient’ process. Atmos Environ, 2004, 38: 6655-6665. Google Scholar

[8] Zhang K M, Wexler A S. Evolution of particle number distribution near roadways Part I: Analysis of aerosol dynamics and its implications for engine emission measurement. Atmos Environ, 2004, 38: 6643-6653. Google Scholar

[9] Wang Y J, Zhang K M. Modeling near-road air quality using a computational fluid dynamics model, CFD-VIT-RIT. Environ Sci Technol, 2009, 43: 7778-7783. Google Scholar

[10] Graskow B R, Kittelson D B, Abdul-Khalek I S, et al. Characterization of exhaust particulate emissions from a spark ignition engine. SAE Tech Select, 1998,. CrossRef Google Scholar

[11] University of California at Riverside. IVE Model Users Manual Version. 1.1.1. 2004. Google Scholar

[12] Davis N C, Lents J M. Mexico city mobile source emissions inventory analysis. 2004. Google Scholar

[13] Grimm H, Eatough D J. Aerosol measurement: the use of optical light scattering for the determination of particulate size distribution, and particulate mass, including the semi-volatile fraction. J Air Waste Manage Assoc, 2009, 59: 101-107. Google Scholar

[14] Steffens J T, Wang Y J, Zhang K M. Exploration of effects of a vegetation barrier on particle size distributions in a near-road environment. Atmos Environ, 2011, 50: 120-128. Google Scholar

[15] Rao S T, Sedefian L. Characteristics of turbulence and dispersion of pollutants near major highways. J Appl Meteorol Clim, 1979, 8: 283-293. Google Scholar

[16] Khan M F, Latif M T, Amil N, et al. Characterization and source apportionment of particle number concentration at a semi-urban tropical environment. Environ Sci Pollut Res, 2015, 22:. CrossRef Google Scholar

[17] Zhu Y F, Hinds W C. Predicting particle number concentrations near a highway based on vertical concentration profile. Atmos Environ, 2005, 39: 1557-1566. Google Scholar

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