ACPD Atmospheric Chemistry and Physics Discussions ACPD 1680-7375 Copernicus GmbH Göttingen, Germany 10.5194/acpd-9-9457-2009 Modeling of secondary organic aerosol yields from laboratory chamber data Chan M. N. 1 Chan A. W. H. 2 Chhabra P. S. 2 Surratt J. D. 2 Seinfeld J. H. 1 2 Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA 09 04 2009 9 2 9457 9489 This is an open-access article ditributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. This article is available from http://www.atmos-chem-phys-discuss.net/9/9457/2009/acpd-9-9457-2009.html The full text article is available as a PDF file from http://www.atmos-chem-phys-discuss.net/9/9457/2009/acpd-9-9457-2009.pdf

A product-specific model for secondary organic aerosol (SOA) formation and composition based on equilibrium gas-particle partitioning is evaluated. The model is applied to represent laboratory data on the ozonolysis of α-pinene under dry, dark, and low-NO<sub>x</sub> conditions in the presence of ammonium sulfate seed aerosol. Using five major identified products, the model is fit to the chamber data. From the optimal fitting, SOA oxygen-to-carbon (O/C) and hydrogen-to-carbon (H/C) ratios are modeled. The discrepancy between measured H/C ratios and those based on the oxidation products used in the model fitting suggests the potential importance of particle-phase reactions. Data fitting is also carried out using the volatility basis set, wherein oxidation products are parsed into volatility bins. The product-specific model is best used for an SOA precursor for which a substantial fraction of the aerosol-phase oxidation products has been identified.

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