2012
DOI: 10.5194/acpd-12-4831-2012
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Organic molecular markers and signature from wood combustion particles in winter ambient aerosols: aerosol mass spectrometer (AMS) and high time-resolved GC-MS measurements in Augsburg, Germany

Abstract: The impact of wood combustion on ambient aerosols was investigated in Augsburg, Germany during a winter measurement campaign of a six-week period. Special attention was paid to the high time resolution observations of wood combustion with different mass spectrometric methods. Here we present and compare the results from an Aerodyne aerosol mass spectrometer (AMS) and gas chromatographic – mass spectrometric (GC-MS) analysed PM<sub>1</sub> filters on an hourly basis. This includes source apportionme… Show more

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Cited by 14 publications
(17 citation statements)
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“…Such a correlation is not surprising since both sulfate and nitrate are secondary inorganic species along with the most oxygenated OA. Previous wintertime measurements have also shown that sulfate is more highly correlated than nitrate with OOA or OOA-I [e.g., Mohr et al, 2012;Crippa et al, 2013], and correlations from Augsburg, Germany (R 2 = 0.82 and 0.68 for OOA with sulfate and nitrate, respectively) [Elsasser et al, 2012] were very similar to what was found here. Compared to OOA-I, OOA-II is not well-correlated with nitrate (R 2 = 0.27) and is uncorrelated with sulfate (R 2 = 0.03).…”
Section: Source Apportionment With Pmfsupporting
confidence: 89%
“…Such a correlation is not surprising since both sulfate and nitrate are secondary inorganic species along with the most oxygenated OA. Previous wintertime measurements have also shown that sulfate is more highly correlated than nitrate with OOA or OOA-I [e.g., Mohr et al, 2012;Crippa et al, 2013], and correlations from Augsburg, Germany (R 2 = 0.82 and 0.68 for OOA with sulfate and nitrate, respectively) [Elsasser et al, 2012] were very similar to what was found here. Compared to OOA-I, OOA-II is not well-correlated with nitrate (R 2 = 0.27) and is uncorrelated with sulfate (R 2 = 0.03).…”
Section: Source Apportionment With Pmfsupporting
confidence: 89%
“…InYttri et al (2011a,b) we used low, central and high values of 11, 15 and 17 for PM10, or 7.6, 12, and 14 for PM2.5, factors derived from ambient Norwegian data, and modified to be appropriate to the QBQ sampling used for the LHS. These values also seem to be consistent with the study ofElsasser et al (2012), which reported OC/levoglucosan values from filter samples of about Atmos. Chem.…”
supporting
confidence: 92%
“…Jiang and Bell [32] used TEOM for continuous sampling of PM10 in urban areas. This equipment was also employed by Elsasser et al [40] for PM2.5 sampling.…”
Section: Microbalance Methodsmentioning
confidence: 99%