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Seasonal variation of airborne particles characteristics and sources in Beijing during 2010-2011

Shen, R. R.; Schäfer, K.; Schnelle-Kreis, J.; Shao, L.; Norra, S.; Kramar, U.; Michalke, B.; Abbaszade, G.; Streibel, T.; Fricker, M.; Wang, Y.; Chen, Y.; Zimmermann, R.; Emeis, S. ORCID iD icon; Schmid, H. P.


A lot of emission reduction measures to improve the air quality in Beijing were performed during the Olympic Summer Games in 2008, which has cut down coarse particles largely. But high air pollution has become more frequent (Du et al., 2014; Gao et al., 2014). In order to find out the long-term characteristics of airborne PM in different seasons, a continuous oneyear daily mean PM sampling from June 2010 till June 2011 was performed on the ground at the campus of the China University of Geosciences, Beijing (CUGB). To discriminate the composition of PM2.5 source attribution, particle characteristics and external impacts on the PM levels were investigated. Two sequential High-Volume operated to collect PM4 samples. The inorganic elements, inorganic water-soluble ions, EC and OC as well as Levoglucosan, eleven hopane substances and eleven PAHs of PM were analysed from PM samples by PEDXRF, ICP-MS, IC, thermal/optical carbon analyser and in situ derivatisation direct thermal desorption gas chromatography time-offlight mass spectrometry (IDTD-GC-TOFMS), respectively. Positive matrix factorization (version 3.0, U.S. EPA) on the basis of the chemical composition analyses and back trajectory cluster analyses were combined together to perform source apportionment. ... mehr

Volltext §
DOI: 10.5445/IR/220102391
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Meteorologie und Klimaforschung – Atmosphärische Umweltforschung (IMK-IFU)
KIT-Zentrum Klima und Umwelt (ZKU)
Publikationstyp Poster
Publikationsjahr 2015
Sprache Englisch
Identifikator urn:nbn:de:swb:90-AAA2201023916
KITopen-ID: 220102391
HGF-Programm 12.02.04 (POF III, LK 01) Urban-Rural Interactions
Veranstaltung European Aerosol Conference 2015 (EAC 2015), Milano, Italy, 6th - 11th September 2015
Externe Relationen Abstract/Volltext
Schlagwörter haze, seasonal variation, source apportionment, PMF, back trajectory cluster analyses
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