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Traffic-related emissions depend on traffic volume, traffic flow composition, and fleet age, as well as urban housing density and meteorological conditions. Thus, software technology and high-quality (applicable) input databases are the key prerequisites for multidisciplinary and multiparameter analysis of the impact of traffic on air quality. A series of studies conducted in Novi Sad and the use of modern technology for data measurement and storage enabled improved assessment of the impact on air quality. This paper presents the simulation results pertaining to the influence of traffic on NO2 and PM10 emissions at the most heavily congested city streets, based on the surrounding housing and meteorological conditions in Novi Sad. The results of this type of research have multiple benefits, including application in the development of air quality plans and testing environmental effects of different transport policy measures.
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Tom
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Opis fizyczny
p.1837-1842,fig.,ref.
Twórcy
autor
- Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
autor
- Faculty of Traffic and Transport Engineering, University of Belgrade, Belgrade, Serbia
autor
- Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
autor
- Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
autor
- Faculty of Traffic and Transport Engineering, University of Belgrade, Belgrade, Serbia
Bibliografia
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- 7. MACIAS A., GADZINSKI J. Assessment of Road Transport Environmental Impact as Illustrated by a Metropolitan Area. Pol. J. Environ. Stud. 22, (6), 749, 2013.
- 8. (WHO) World Health Organization : Health effects of black carbon, ISBN 978 92 890 0265 3, 2012.
- 9. (EEA) Technical Report No. 1/2006: Air pollution at street level in European cities, 2006.
- 10. BERKOWICZ R., WINTHER M., KETZEL M. Traffic pollution modelling and emission data. Environ. Modell. Softw. 21, 454, 2006.
- 11. BUCHHOLZ S., KREIN A., JUNK J., HEINEMANN G., HOFFMANN L. Simulation of urban-scale air pollution patterns in Luxembourg: contributing sources and emission scenarios. Environ. Model. Assess. 18, (3), 271, 2013.
- 12. GUALTIERI G., TARTAGLIA M. Predicting urban traffic air pollution: a GIS framework, Transport Research - Part D, 3, (5), 329, 1998.
- 13. GHENU A., ROSANT J.M., SINI J.F. Dispersion of pollutants and estimation of emissions in a street canyon in Rouen, France. Environ. Modell. Softw. 23, 314, 2008.
- 14. MAZZEO N., VENEGAS L. Air pollution despersion inside a street canyon of Gottinger Strasse (Hannover, Germany) - New result of the analysis of full scale data. Proceedings of the 10th International Conference on Harmonisation within Atmospheric Dispersion Modelling of Regulatory Purposes, 2007.
- 15. VENEGAS L., MAZZEO N. Traffic pollution modelling in a complex urban street. Proceedings of the 13" International Conference on Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes, 2010.
- 16. VARDOULAKIS S., VALIANTIS M., MILNER J., APSI- MON H. Operational air pollution modelling in the UK - Street canyon applications and challenges. Atmos. Environ. 41, 4622, 2007.
- 17. KARPPINEN A., KUKKONEN J., ELOLAKHDE T., KONTTINEN M., KOSKENTALO T. A modelling system for predicting urban air pollution: model description and applications in the Helsinki metropolitan area. Atmos. Environ. 34, 3735, 2000.
- 18. XIA L., SHAO Y. Modelling of traffic fow and air pollution emission with application to Hong Kong Island. Environ. Modell. Softw. 20, 1175, 2005.
- 19. BRIGGS D., HOOGH C., GULLIVER J., WILLS J., ELLIOTT P., KINGHAM S., SMALLBONE K. A regression-based method for mapping traffic-related air pollution: application and testing in four contrasting urban environments. Sci. Total Environ. 253, 151, 2000.
- 20. SU J., JERRETT M., BECKERMAN B., WILHELMB M, GHOSH J., RITZ B. Predicting traffic-related air pollution in Los Angeles using a distance decay regression selection strategy. Environ. Res. 109, 657, 2009.
- 21. MORENO T., QUEROL X., ALASTUEY A., VIANAA M., GIBBONS W. Profiling transient daytime peaks in urban air pollutants: city centre traffic hotspot versus urban background concentrations. J. Environ. Monitor. 11, 1535, 2009.
- 22. MENSINK C., COSEMANS G: From traffic flow simulations to pollutant concentrations instreet canyons and backyards. Environ. Modell. Softw. 23, 288, 2008.
- 23. RUWIM BERKOWICZ R., KETZEL M., JENSEN S., HVIDBERG M., RAASCHOU-NIELSEN O. Evaluation and application of OSPM for traffic pollution assessment for a large number of street locations. Environ. Modell. Softw. 23, 296, 2008.
- 24. City of Novi Sad Traffic study with the transport structure dynamics - NOSTRAM, Public Company "Urbanizam" Department of City Planning, Novi Sad, http://www.nsurbanizam.rs, Novi Sad, 2009.
- 25. Traffic Study for the general design of the Petrovaradin Bypass, Centre for Vojvodina road network (CPV), Novi Sad, 2010.
- 26. Annual air quality report for Serbia in 2011, Republic of Serbia, Ministry of Environment, Mining and Spatial Planning, Environmental Protection Agency, 2011.
- 27. The Handbook of Emission Factors for Road Transport HBEFA, http://www.hbefa.net, 2010.
- 28. Regulations on the monitoring conditions and air quality requirements (Official Gazette, RS No.11/10), 2010.
Typ dokumentu
Bibliografia
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