Devraj Thimmaiah 1, Jan Hovorka1, Philip K. Hopke2

  • 1 Institute for Environmental Studies, Faculty of Science, Charles University in Prague, enátská-2, Prague 12801, Czech Republic
  • 2 Department of Chemical and Biomolecular Engineering, Clarkson University, Potsdam, New York 13699, USA

Received: December 29, 2016
Revised: May 31, 2009
Accepted: May 31, 2009
Download Citation: ||https://doi.org/10.4209/aaqr.2008.11.0055  

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Cite this article:
Thimmaiah, D., Hovorka, J. and Hopke, P.K. (2009). Source Apportionment of Winter Submicron Prague Aerosols from Combined Particle Number Size Distribution and Gaseous Composition Data. Aerosol Air Qual. Res. 9: 209-236. https://doi.org/10.4209/aaqr.2008.11.0055


 

ABSTRACT


Combined particle number size distributions and readily available gaseous concentration data were used to identify winter particle sources in the urban atmosphere of Prague, the capital of Czech Republic by applying bilinear Positive Matrix Factorization (PMF2). Ambient Particle Number Concentration (PNC) were obtained using a Scanning Mobility Particle Sizer (SMPS) in the size range between 18.8 and 723.5 nm (midpoint diameters) along with the ambient gaseous concentrations of CO, SO2, NOx (NO + NO2), O3, CH4, Non Methane Hydrocarbons (NMHC) and Total Hydrocarbons (THC) at the receptor site with 5-minute time resolution. Meteorological data including wind direction, wind speed, temperature, relative humidity and solar the UV-A,B radiation were also recorded in 5-minute intervals to assist in the interpretation and to support the use of Conditional Probability Function (CPF) in determining the directionality of the sources. For convenient data handling and matrix preparation, all of the data obtained were reduced to hourly average concentrations. This study has identified and apportioned four major sources. They are ozone-rich, (transported ozone/ozone precursors, mixed down from above boundary layer associated with high wind speed and temperature), NOx-rich (diesel emissions), traffic and local heating.


Keywords: Particle size distribution; Positive Matrix Factorization; Receptor modeling; Prague


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