2004
DOI: 10.1021/es049104q
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Trends in Secondary Organic Aerosol at a Remote Site in Michigan's Upper Peninsula

Abstract: The trends in secondary organic aerosol at a remote location are studied using atmospheric fine particulate matter samples collected at Seney National Wildlife Refuge (NWR) in northern Michigan. Detailed analysis of particle-phase organic compounds revealed very low concentrations of primary anthropogenic emissions and relatively high levels of organic di-, tri-, and tetracarboxylic acids thought to be indicators of secondary organic aerosols. Seasonal changes in these organic compounds were tracked by analyzi… Show more

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Cited by 121 publications
(122 citation statements)
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References 41 publications
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“…The second method used Gas Chromatography-Mass Spectrometry (GC-MS) techniques for the analysis. It is a slight modification to/evolution of the detailed Sheesley et al (2004) method and was used for concentrated extracts of both "wet" collections and "dry" filter/substrates. The cited references provide additional information on the sample processing and analytical techniques.…”
Section: Experimental Methodsmentioning
confidence: 99%
“…The second method used Gas Chromatography-Mass Spectrometry (GC-MS) techniques for the analysis. It is a slight modification to/evolution of the detailed Sheesley et al (2004) method and was used for concentrated extracts of both "wet" collections and "dry" filter/substrates. The cited references provide additional information on the sample processing and analytical techniques.…”
Section: Experimental Methodsmentioning
confidence: 99%
“…Detailed studies in the same manuscript of acid indicator compounds show that several important factors emerge in determining the characteristics of SOA in a given sample, including air mass source region, transport time, meteorological conditions, sulfate and bulk ion concentration in the aerosol, and SOA precursor source. 205 Investigating how specific particulate organic compounds behave with respect to time of day can also help to identify possible SOA components.…”
Section: Cmb Modelmentioning
confidence: 99%
“…64,69,94 Robinson et al 69 identified three uncertainty areas for cooking contributions at Pittsburgh: (1) the markers (e.g., palmitoleic acid and cholesterol) were highly uncertain and variable in the reported source profiles; (2) the ambient oleic acid/palmitoleic acid ratio was more than a factor of 10 greater than all published source profiles in Pittsburgh; and (3) three source profile combinations yielded equally good performance statistics, but cooking contributions varied by a factor of 9 (3-27% of OC). Chow et al 64 estimated cooking contributions of 5-19% of PM 2.5 at Fresno during winter episodes with very large propagated uncertainties.…”
Section: How Well Can We Identify and Quantify Source Contributions Umentioning
confidence: 99%