The sensitivity of secondary organic aerosol (SOA) component partitioning to the predictions of component properties-Part 3: Investigation of condensed compounds generated by a near-explicit model of VOC oxidation

19Citations
Citations of this article
28Readers
Mendeley users who have this article in their library.

Abstract

Calculations of the absorptive partitioning of secondary organic aerosol components were carried out using a number of methods to estimate vapour pressure and non-ideality. The sensitivity of predicted condensed component masses, volatility, O:C ratio, molar mass and functionality distribution to the choice of estimation methods was investigated in mixtures of around 2700 compounds generated by a near explicit mechanism of atmospheric VOC degradation. The sensitivities in terms of all metrics were comparable to those previously reported (using 10 000 semi-randomly generated compounds). In addition, the change in predicted aerosol properties and composition with changing VOC emission scenario was investigated showing key dependencies on relative anthropogenic and biogenic contributions. Finally, the contribution of non-ideality to the changing distribution of condensed components was explored in terms of the shift in effective volatility by virtue of component activity coefficients, clearly demonstrating both enhancement and reduction of component masses associated with negative and positive deviations from ideality. © 2011 Author(s).

Cite

CITATION STYLE

APA

Barley, M. H., Topping, D., Lowe, D., Utembe, S., & McFiggans, G. (2011). The sensitivity of secondary organic aerosol (SOA) component partitioning to the predictions of component properties-Part 3: Investigation of condensed compounds generated by a near-explicit model of VOC oxidation. Atmospheric Chemistry and Physics, 11(24), 13145–13159. https://doi.org/10.5194/acp-11-13145-2011

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free