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Atmospheric Dispersion of PM10 in an Urban Area

Carmelia Mariana Dragomir / Daniel Eduard Constantin / Mirela Voiculescu / Lucian Puiu Georgescu Georgescu
Published Online: 2015-01-10 | DOI: https://doi.org/10.2478/pesd-2014-0027


One way of monitoring the atmospheric pollution is to estimate anthropogenic emissions. This paper presents a study of PM10 emissions in a city SE of Romania (Braila) for the period 2009-2012. PM10 emissions decrease from 304.75 t in 2009 to 78.01 t in 2012. Using data from the Environmental Protection Agency Braila and the METI-LIS dispersion model, four maps were produced in order to estimate the spatial distribution of PM10 emission in each year. Results of dispersion models show that the air quality can change abruptly between points at few meters away. Expectedly, PM10 emissions increase towards the centre of the city centre, are generally higher in the vicinity of busy streets and roads.

Keywords: PM10; atmospheric pollution; long-term trends.


  • Bravo, M., A, Fuentes, M., Zhang, Y., Burr, M.,J., Bell, M.,L., Comparison of exposure estimation methods for air pollutants: ambient monitoring data and regional air quality simulation, Environ Res. , 2012 Jul;116:1-10. doi: 10.1016/ j.envres.2012. 04.008, Epub 2012 May 10.Web of ScienceCrossrefGoogle Scholar

  • Brunekreef, B., Maynard, R.L., 2008.A note on the 2008 EU standards for particulate matter.Atmospheric Environment 42, 6425-6430.Web of ScienceGoogle Scholar

  • European Environment Agency (EEA),Report No.11/2013- The Contribution of transport to air quality (TERM 2013: transport indicators tracking progress towards environmental targets in Europe, ISSN 1725-9177.Google Scholar

  • European Environment Agency (EEA), Technical report, No 12/2013 EMEP/EEA emission inventory guidebook 2013, Technical guidance to prepare national emission inventories, ISSN 1725-2237.Google Scholar

  • Huang, Y. H., J. E. Saiers, J. W. Harvey, G. B. Noe, and S. Mylon (2008), Advection, dispersion, and filtration of fine particles within emergent vegetation of the Florida Everglades, Water Resour. Res., 44, W04408, doi:10.1029/2007WR006290.Web of ScienceCrossrefGoogle Scholar

  • Kouchi, A., Okabayashi, K., Okamoto, S., Yoshikado, H., Yamamoto, S., Kobayashi, K., Ono, N., Koizumi, M., 2004. Development of a low-rise industrial source dispersion model (METI-LIS model). International Journal of Environment and Pollution 21, 325-338.Google Scholar

  • Laich, E.J.; Mullen, M.A.; Fields, P.G.; Stella, G.M.; Coad, R.E.; Atkinson, R.D.; Knopes, C. (1995): Emission Projections for Precursors to Atmospheric PM; in: AWMA & EPA (Hg.): The Emission Inventory: Applications and Improvement; Pittsburgh.Google Scholar

  • Leili M., NaddafiK.,Nabizadeh R . &Yunesian M., 2008, The study of TSP and PM10 concentration and their heavy metals content in central area of Tehran ,Iran.Airuality atoms health , 1: 159-166.Google Scholar

  • Masitah A., Zaini H., and Lee S. K.,(2007), PM10 and Total Suspended Particulates (TSP) Measurements in Various Power Stations, The Malaysian Journal of Analytical Sciences, Vol. 11, No 1: 255-261.Google Scholar

  • METI. 2006. Low Rise Industrial Source Dispersion Model METI-LIS Model Ver. 2.03, Operation Manual. Ministry of Economy, Trade and Industry.p. 89.Google Scholar

  • Misra, A., Roorda, M.J., MacLean, H.L.,2013, An integrated modelling approach to estimate urban traffic emissions, Atmospheric Environment 73 (2013) 81-91.Web of ScienceGoogle Scholar

  • Nepf, H. M., C. G. Mugnier, and R. A. Zavistoski (1997a), The effects of vegetation on longitudinal dispersion, Estuarine Coastal Shelf Sci., 44, 675- 684.Google Scholar

  • Noe, G. B., J. W. Harvey, and J. E. Saiers (2007), Characterization of suspended particles in Everglades wetlands, Limnol. Oceanogr., 52, 1166- 1178.Web of ScienceGoogle Scholar

  • Saiers, J. E., J. W. Harvey, and S. E. Mylon(2003), Surface-water transport of suspended matter through wetland vegetation of the Florida everglades, Geophys. Res. Lett., 30(19), 1987, doi:10.1029/2003GL018132.CrossrefGoogle Scholar

  • Salah A. H. S, Zainab, B., Ghada. H., Mapping Dispersion of Urban Air Particulate Matter Over Kirkuk City Using Geographic Information System, Journal of Environment and Earth Science www.iiste.org ISSN 2224-3216 (Paper) ISSN 2225-0948 (Online) Vol.4, No.8, 2014 Sansalone, J. J., and S. G. Buchberger (1997), Characterization of solid and metal element distributions in urban highway stormwater, Water Sci. Technol., 36, 155- 160.Google Scholar

  • Song S. J. , 2008 , A GIS Based Approach to Spatio-Temporal Analysis of Urban Air Quality in Chengdu Plain,The International Achieves of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol. 37. Part B7, Beijing.Google Scholar

  • Wang, G., van den Bosch, F.H.M. and Kuffer, M. (2008) Modelling urban traffic air pollution dispersion. In: ISPRS 2008 :Proceedings of the XXI congress : Silk road for information from imagery : the International Society for Photogrammetry and Remote Sensing, 3-11 July, Beijing, China. Comm. VIII, WG VIII/2.Beijing : ISPRS, 2008. pp. 153-158.Google Scholar

  • Zhang, Y., Bocquet, M., Mallet, V., Seigneur, C. and Baklanov, A.: 2012a, Real-time air quality forecasting, part i: History, techniques, and current status,Atmospheric Environment 60, 632 - 655. Web of ScienceGoogle Scholar

About the article

Published Online: 2015-01-10

Published in Print: 2014-10-01

Citation Information: Present Environment and Sustainable Development, Volume 8, Issue 2, Pages 91–99, ISSN (Online) 2284-7820, DOI: https://doi.org/10.2478/pesd-2014-0027.

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© 2015. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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