Articles | Volume 16, issue 5
https://doi.org/10.5194/acp-16-3041-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-16-3041-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
09 Mar 2016
Research article |
| 09 Mar 2016
Simulating secondary organic aerosol in a regional air quality model using the statistical oxidation model – Part 2: Assessing the influence of vapor wall losses
Department of Civil and Environmental Engineering, University of
California, Davis, CA, USA
Shantanu H. Jathar
Department of Mechanical Engineering, Colorado State University, Fort
Collins, CO, USA
Michael J. Kleeman
Department of Civil and Environmental Engineering, University of
California, Davis, CA, USA
Kenneth S. Docherty
Alion Science and Technology, Research Triangle Park, NC, USA
Jose L. Jimenez
Cooperative Institute for Research in Environmental Sciences and
Department Chemistry and Biochemistry, University of Colorado, Boulder, CO,
USA
John H. Seinfeld
Division of Chemistry and Chemical Engineering and Division of
Engineering and Applied Science, California Institute of Technology,
Pasadena, CA, USA
Anthony S. Wexler
Department of Civil and Environmental Engineering, University of
California, Davis, CA, USA
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- Widespread Pollution From Secondary Sources of Organic Aerosols During Winter in the Northeastern United States V. Shah et al. 10.1029/2018GL081530
- Computational Simulation of Secondary Organic Aerosol Formation in Laboratory Chambers S. Charan et al. 10.1021/acs.chemrev.9b00358
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- Secondary organic aerosol formation from evaporated biofuels: comparison to gasoline and correction for vapor wall losses Y. He et al. 10.1039/D0EM00103A
- Chemical transport model simulations of organic aerosol in southern California: model evaluation and gasoline and diesel source contributions S. Jathar et al. 10.5194/acp-17-4305-2017
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- Unified Theory of Vapor–Wall Mass Transport in Teflon-Walled Environmental Chambers Y. Huang et al. 10.1021/acs.est.7b05575
- Simulating secondary organic aerosol in a regional air quality model using the statistical oxidation model – Part 3: Assessing the influence of semi-volatile and intermediate-volatility organic compounds and NO<sub><i>x</i></sub> A. Akherati et al. 10.5194/acp-19-4561-2019
- Vapors Are Lost to Walls, Not to Particles on the Wall: Artifact-Corrected Parameters from Chamber Experiments and Implications for Global Secondary Organic Aerosol K. Bilsback et al. 10.1021/acs.est.2c03967
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- Simulating secondary organic aerosol from anthropogenic and biogenic precursors: comparison to outdoor chamber experiments, effect of oligomerization on SOA formation and reactive uptake of aldehydes F. Couvidat et al. 10.5194/acp-18-15743-2018
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- Quantification of the sources and composition of particulate matter by field-deployable mass spectrometry: implications for air quality and public health P. Hayes 10.1039/C6AN02378A
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- Potential of select intermediate-volatility organic compounds and consumer products for secondary organic aerosol and ozone formation under relevant urban conditions W. Li et al. 10.1016/j.atmosenv.2017.12.019
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2 citations as recorded by crossref.
- Simulating secondary organic aerosol in a regional air quality model using the statistical oxidation model – Part 1: Assessing the influence of constrained multi-generational ageing S. Jathar et al. 10.5194/acp-16-2309-2016
- Exploring Divergent Volatility Properties from Yield and Thermodenuder Measurements of Secondary Organic Aerosol from α-Pinene Ozonolysis P. Saha & A. Grieshop 10.1021/acs.est.6b00303
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
Losses of vapors to walls of chambers can negatively bias SOA formation measurements, consequently leading to low predicted SOA concentrations in air quality models. Here, we show that accounting for such vapor losses leads to substantial increases in the predicted amount of SOA formed from VOCs and to notable increases in the O : C atomic ratio in two US regions. Comparison with a variety of observational data suggests generally improved model performance when vapor wall losses are accounted for.
Losses of vapors to walls of chambers can negatively bias SOA formation measurements,...
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