Study on particulate matter dispersion by correlating direct measurements with numerical simulations: Case study—Timisoara urban area

  • M. Lungu
  • N. Stefu
Original Paper


The control of toxic emissions has become of great scientific interest due to the continuous increase of pollutants released into the atmosphere. The fact that the fine particles suspended in the atmosphere have been proved to have a negative impact on human health has also contributed to an increasing interest. This paper focuses on two important items: (1) the experimentally obtained pollution maps of Timisoara, showing the spatial distribution of the concentration of particulate matter (between 0.3–2.5 μm and 2.5–5 μm) over the city area; and (2) the simulation of the dispersion of pollutants emitted by Pro Air Clean Ecologic incinerator in Timisoara, based on specific meteorological conditions. The transport process of the pollutants was investigated numerically with the Close View software. This uses at input the concentration and the properties of the pollutants detected experimentally at the combustion chimney, the effective height of the chimney and the specific meteorological conditions, i.e., air pressure and humidity, velocity and direction of the wind.


Air pollutants Dispersion Pollution map Plume Waste incinerator Numerical simulations 



This work was supported by a grant of the Romanian National Authority for Scientific Research, CNCS—UEFISCDI, Project Number PN-II-ID-PCE-2011-3-0762.


  1. Abdel-Rahman AA (2008) On the atmospheric dispersion and Gaussian plume model. In: Proceeding of the 2-nd international conference on waste management, water pollution, air pollution, indoor climate (WWAI’08), Corfu, Greece, pp 31–39, 26–28 Oct 2008Google Scholar
  2. Abdullah LC, Womg LI, Saari M, Salmiaton A, Abdul Rashid MS (2007) Particulate matter dispersion and haze occurrence potential studies at a local palm oil mill. Int J Environ Sci Technol 4(2):271–278CrossRefGoogle Scholar
  3. Cheng K, Tian HZ, Zhao D, Lu L, Wang Y, Chen J, Liu XG, Jia WX, Huang Z (2014) Atmospheric emission inventory of cadmium from anthropogenic sources. Int J Environ Sci Technol 11:605–616CrossRefGoogle Scholar
  4. Cohen AJ, Anderson Ross H, Ostro B, Pandey KD, Krzyzanowski M, Künzli N, Gutschmidt K, Pope A, Romieu I, Samet JM, Smith K (2005) The global burden of disease due to outdoor air pollution. J Toxicol Environ Health Part A 68(13–14):1301–1307CrossRefGoogle Scholar
  5. Dockery Douglas W (2009) Health effects particulate air pollution. Ann Epidemiol 19(4):257–263CrossRefGoogle Scholar
  6. Freddy Kho WL, Sentian J, Radojevi M, Tan CL, Law PL, Halipah S (2007) Computer simulated versus observed NO2 and SO2 emitted from elevated point source complex. Int J Environ Sci Technol 4(2):215–222CrossRefGoogle Scholar
  7. Ghermandi G, Teggi S, Fabbi S, Biggi A, Zaccanti MM (2015a) Tri-generation power plant and conventional boilers: pollutant flow rate and atmospheric impact of stack emissions. Int J Environ Sci Technol 12:693–704CrossRefGoogle Scholar
  8. Ghermandi G, Fabbi S, Zaccanti MM, Biggi A, Teggi S (2015b) Micro-scale simulation of atmospheric emissions from power-plant stacks in the Po Valley. Atmos Pollut Res 6:382–388CrossRefGoogle Scholar
  9. Grigoras G, Cuculeanu V, Ene G, Mocioaca G, Deneanu A (2012) Air pollution dispersion modeling in a polluted industrial area of complex terrain from Romania. Rom Rep Phys 64(1):173–186Google Scholar
  10. Harrison RM, Jones M, Collins G (1999) Measurements of the physical properties of particles in the urban atmosphere. Atmos Environ 33:309–321CrossRefGoogle Scholar
  11. Hussein T, Puustinen A, Aalto PP, Makela JM, H¨ameri K, Kulmala M (2004) Urban aerosol number size distributions. Atmos Chem Phys 4:391–411CrossRefGoogle Scholar
  12. Kampa M, Castanas E (2008) Human health effects of air pollution. Environ Pollut 151(2):362–367CrossRefGoogle Scholar
  13. Kelly FJ, Fuller GW, Walton HA, Fussell JC (2012) Monitoring air pollution: use of early warning systems for public health. Respirology 17:7–19CrossRefGoogle Scholar
  14. Kuhlbush TAJ, Querol X, Mudway I, Alastuey A (2015) New Directions: the future of European urban air quality monitoring. Atmos Environ 87:258–260CrossRefGoogle Scholar
  15. Linkov I, Steenens J, Adlakha-Hutcheon G, Benett E, Chappel M, Colvin V, Davis JM, Davis T, Ekder A, Foss Hansen S, Hakkinen PB (2009) Emerging methods and tools for environmental risk assessment, decision-making, and policy for nanomaterials: summary of NATO Advanced Research Workshop. J Nanopart Res 11:513–527CrossRefGoogle Scholar
  16. Lungu M, Arghiriade D, Strambeanu N, Lungu A, Neculae A, Demetrovici L (2015) Numerical simulation of particulate matter emissions from the stack of a special waste incinerator as point source, Fractions of contained nanoparticles. In: International symposium “The Environment and the Industry” SIMI 2015, Bucharest, Romania, 29–30 Oct 2015Google Scholar
  17. Nakomcic-Smaragdakis B, Cepic Z, Cepic M, Stajic T (2014) Data analysis of the flue gas emission in the thermal-power plant firing fuel oil and natural gas. Int J Environ Sci Technol 11:269–280CrossRefGoogle Scholar
  18. Nawrot TS, Perez L, Künzli N, Munters E, Nemery B (2011) Public health importance of triggers of myocardial infarction: a comparative risk assessment. Lancet 377(9767):732–740CrossRefGoogle Scholar
  19. NIWAR National Institute of Water and Atmospheric Research, Aurora Pacific Limited and Earth Tech Incorporated (2004) Good practice for atmospheric dispersion modeling. Ministry for the Environment New ZeelandGoogle Scholar
  20. Popescu F, Ionel I, Belegante L, Cebrucean V (2010) Pollution control in airport areas by means of numerical simulation. In: Proceeding of 8th WSEAS international conference on environment, ecosystems and development, advances in biology, engineering and environment, Athens Greece, pp 176–180, 29–31 Dec 2010Google Scholar
  21. Popescu F, Ionel I, Belegante L, Lontis N, Cebruceanu V (2011) Direct measurements and numerical simulations issues in airport air quality. Int J Energy Environ 5(3):410–417Google Scholar
  22. Silva LT, Pinho JL, Nurusman H (2014) Traffic air pollution monitoring based on air–water pollutants deposition device. Int J Environ Sci Technol 11:2307–2318CrossRefGoogle Scholar
  23. Stanier CO, Khlystov AY, Pandis SN (2004) Ambient aerosol size distributions and number concentrations measured during the Pittsburgh Air Quality Study (PAQS). Atmos Environ 38:3275–3284CrossRefGoogle Scholar
  24. Tanik A, Ozalp D, Scker DZ (2013) Practical estimation and distribution of diffuse pollutants arising from a watershed in Turkey. Int J Environ Sci Technol 10:221–230CrossRefGoogle Scholar
  25. Turner DB (1970) Workbook of atmospheric dispersion estimates. USEPA, WashingtonGoogle Scholar
  26. Vardoulakis S, Fisher BE, Pericleous K, Gonzalez-Flesca N (2003) Modeling air quality in street canyons: a review. Atmos Environ 37:155–182CrossRefGoogle Scholar
  27. Venkanna R, Nikhil GN, Silva Rao T, Sinha PR, Swamy YV (2015) Environmental monitoring of surface ozone and other trace gases over different time scales: chemistry, transport and modeling. Int J Environ Sci Technol 12:1749–1758CrossRefGoogle Scholar
  28. Vetres I, Calinoiu D, Ionel I, Brochet F (2014) Modelling as instrument for air quality assessment. Timisoara case study. Termotehnica 1:59–63Google Scholar
  29. Wehner B, Birmili W, Gnauk T, Wiedensohler A (2002) Particle number size distributions in a street canyon and their transformation into the urban-air background: measurements and a simple model study. Atmos Environ 36:2215–2223CrossRefGoogle Scholar
  30. Zanetti P (2010) Air quality modeling: theories, methodologies, computational techniques and available database and software. The EnviroComp Institute and Air & Waste Management Association, Pittsburgh. ISBN 978-1-9334740-9-0Google Scholar

Copyright information

© Islamic Azad University (IAU) 2017

Authors and Affiliations

  1. 1.Faculty of PhysicsWest University of TimisoaraTimisoaraRomania

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