2018
DOI: 10.5194/acp-18-6661-2018
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Photochemical aging of aerosol particles in different air masses arriving at Baengnyeong Island, Korea

Abstract: Abstract. Atmospheric aerosol particles are a serious health risk, especially in regions like East Asia. We investigated the photochemical aging of ambient aerosols using a potential aerosol mass (PAM) reactor at Baengnyeong Island in the Yellow Sea during 4–12 August 2011. The size distributions and chemical compositions of aerosol particles were measured alternately every 6 min from the ambient air or through the highly oxidizing environment of a potential aerosol mass (PAM) reactor. Particle size and chemic… Show more

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Cited by 20 publications
(9 citation statements)
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References 64 publications
(93 reference statements)
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“…The potential aerosol mass (PAM) OFR measures the aerosol mass that can be formed from the precursors that are present in ambient or laboratory air (Kang et al, 2007;Lambe et al, 2011). The OFR has been successfully deployed in multiple urban and forested locations to quantify potential SOA Kang et al, 2018). The chemical regimes and comparability to ambient results of the OFR have been characterized extensively by modeling, which indicate that SOA formation proceeds by chemistry similar to that in the atmosphere, dominated by OH oxidation under low-NO conditions (Li et al, 2015;Peng et al, 2015Peng et al, , 2016.…”
Section: Oxidation Flow Reactor Sampling and Analysismentioning
confidence: 99%
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“…The potential aerosol mass (PAM) OFR measures the aerosol mass that can be formed from the precursors that are present in ambient or laboratory air (Kang et al, 2007;Lambe et al, 2011). The OFR has been successfully deployed in multiple urban and forested locations to quantify potential SOA Kang et al, 2018). The chemical regimes and comparability to ambient results of the OFR have been characterized extensively by modeling, which indicate that SOA formation proceeds by chemistry similar to that in the atmosphere, dominated by OH oxidation under low-NO conditions (Li et al, 2015;Peng et al, 2015Peng et al, , 2016.…”
Section: Oxidation Flow Reactor Sampling and Analysismentioning
confidence: 99%
“…This box model does not explicitly consider volatile chemical products (VCPs) (Khare and Gentner, 2018;McDonald et al, 2018), S/IVOC from cooking emissions (e.g., Hayes et al, 2013;Ots et al, 2016), or glyoxal (Volkamer et al, 2006;Knote et al, 2014), although contributions from these components may be partially included in the empirical estimation of S/IVOC. Modeled SOA in Los Angeles, using estimates of S/IVOC from HOA/ CO, including approximately two-thirds of VCPs and not including glyoxal, was able to capture the observed SOA in the first 0.5 equivalent Figure 11.…”
Section: Calculated Precursor Contributions To the Soa Production Ovementioning
confidence: 99%
“…The OFR has been successfully deployed in multiple 266 urban and forested locations to quantify potential SOA (Ortega et al, 2016;Palm et al, 2016Palm et al, , 267 2017Palm et al, , 2018Kang et al, 2018). The chemical regimes and comparability to ambient results of the 268 OFR have been characterized extensively by modeling, which indicate that SOA formation 269 proceeds by chemistry similar to the atmosphere, dominated by OH oxidation under low-NO 270 conditions Peng et al, 2015Peng et al, , 2016 Fig.…”
Section: Oxidation Flow Reactor Sampling and Analysis 263mentioning
confidence: 99%
“…7a). The mass size distributions of OC, NO3 -, and SO4 -2 estimated by the aerosol mass spectrometer generally show organics enriched in nucleation-mode particles (e.g., Kang et al, 2018;Kim et al, 2018).…”
Section: Rbc As a Robust Tracer For Particle Growth In Size And Massmentioning
confidence: 99%