AAAR 35th Annual Conference October 17 - October 21, 2016 Oregon Convention Center Portland, Oregon, USA
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Source Apportionment of Time and Size Resolved Ambient Particulate Matter Measured with a Drum Impactor at a European Air Pollution Hot Spot
Petra Pokorná, Jan Hovorka, Yongjing Zhao, Steven Cliff, Pentti Paatero, PHILIP K. HOPKE, Clarkson University
Abstract Number: 35 Working Group: Source Apportionment
Abstract For a long time, the Moravian-Silesian Region has had some of the worst air quality not only in the Czech Republic but in Europe. The objective of present study was to identify sources of five PM size fractions in a residential district in proximity to a large metallurgy complex. Measurements were conducted during two intensive winter sampling campaigns from 26 Jan to 19 Feb 2012 and 7 Feb to 3 Mar 2014 in Ostrava, the regional city of the Moravian-Silesian Region. Eight size fractions were sampled with a Davis Rotating-drum Uniform-size-cut Monitor (8 DRUM) and analyzed for 24 elements by Synchrotron-XRF with 2-h time resolution. Also 2-h mass concentrations were calculated from 5-minute number size distributions recorded with an APS and SMPS. Hourly OC/EC in PM$_1 values were also determined. Complete meteorology including wind speed (WS), wind direction (WD), temperature (T), relative humidity and precipitation were also recorded. Databases of 2-h elemental and mass concentrations of five fractions were analyzed using a 3-way factor analysis model. The campaigns’ meteorological conditions and PM differed significantly from each other. Campaign in 2012 was characterized by low T (median = -13.8°C), low WS (median = 0.8 ms$^(-1)), WD prevailing from NE and high PM$_1 (median = 78.6 micro-g$^(-3)). Campaign in 2014 was characterized by mild winter T (median = 5.2°C), low WS (median = 1.2 ms$^(-1)), WD prevailing from SW and NE and PM$_1 (median = 29.8 micro-g$^(-3)). A prior source apportionment study based on the elemental composition of the fine and coarse fraction sampled during winter 2012 identified coal combustion, sinter and raw iron production, and traffic. Using this more robust database and the advanced receptor model to data with multiple fraction bases, we expect precise source identification to be obtained.