Articles | Volume 22, issue 13
https://doi.org/10.5194/acp-22-9083-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-22-9083-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Jul 2022
Research article |
| 14 Jul 2022
| 14 Jul 2022
Secondary organic aerosol formation via multiphase reaction of hydrocarbons in urban atmospheres using CAMx integrated with the UNIPAR model
Zechen Yu
Department of Environmental Engineering Sciences, Engineering School of Sustainable Infrastructure and Environment, University of Florida,
Gainesville, FL, USA
Department of Environmental Engineering Sciences, Engineering School of Sustainable Infrastructure and Environment, University of Florida,
Gainesville, FL, USA
Soontae Kim
Department of Environmental and Safety Engineering, Ajou University, Suwon, South Korea
Kyuwon Son
Department of Environmental and Safety Engineering, Ajou University, Suwon, South Korea
Sanghee Han
Department of Environmental Engineering Sciences, Engineering School of Sustainable Infrastructure and Environment, University of Florida,
Gainesville, FL, USA
Azad Madhu
Department of Environmental Engineering Sciences, Engineering School of Sustainable Infrastructure and Environment, University of Florida,
Gainesville, FL, USA
Jinsoo Park
Air Quality Research Division, National Institute of Environmental
Research, Environmental Research Complex, Incheon, South Korea
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Short summary
The UNIPAR model was incorporated into CAMx to predict the ambient concentration of organic matter in urban atmospheres during the KORUS-AQ campaign. CAMx–UNIPAR significantly improved the simulation of SOA formation under the wet aerosol condition through the consideration of aqueous reactions of reactive organic species and gas–aqueous partitioning into the wet inorganic aerosol.
The UNIPAR model was incorporated into CAMx to predict the ambient concentration of organic...
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