Atmos. Chem. Phys. Discuss., 9, 9457-9489, 2009
www.atmos-chem-phys-discuss.net/9/9457/2009/
doi:10.5194/acpd-9-9457-2009
© Author(s) 2009. This work is distributed
under the Creative Commons Attribution 3.0 License.
Review Status
This discussion paper has been under review for the journal Atmospheric Chemistry and Physics (ACP). Please refer to the corresponding final paper in ACP.
Modeling of secondary organic aerosol yields from laboratory chamber data
M. N. Chan1, A. W. H. Chan2, P. S. Chhabra2, J. D. Surratt2, and J. H. Seinfeld1,2
1Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA, USA
2Division of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, CA, USA

Abstract. 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-NOx 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.

Citation: Chan, M. N., Chan, A. W. H., Chhabra, P. S., Surratt, J. D., and Seinfeld, J. H.: Modeling of secondary organic aerosol yields from laboratory chamber data, Atmos. Chem. Phys. Discuss., 9, 9457-9489, doi:10.5194/acpd-9-9457-2009, 2009.
 
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