Articles | Volume 24, issue 1
https://doi.org/10.5194/acp-24-487-2024
© Author(s) 2024. 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-24-487-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CAMx–UNIPAR simulation of secondary organic aerosol mass formed from multiphase reactions of hydrocarbons under the Central Valley urban atmospheres of California
Yujin Jo
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
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
Bonyoung Koo
Bay Area Air Quality Management District, San Francisco, CA, USA
Yiqin Jia
Bay Area Air Quality Management District, San Francisco, CA, USA
Zechen Yu
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
Jinsoo Park
Air Quality Research Division, National Institute of Environmental Research, Environmental Research Complex, Incheon, South Korea
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Cited
11 citations as recorded by crossref.
- Simulation of Secondary Organic Aerosol Formation Using Near-Explicitly Predicted Products from Naphthalene Photooxidation in the Presence of NOx S. Han & M. Jang https://doi.org/10.1021/acsearthspacechem.4c00217
- Simulations of SOA Oxidative Potentials Using Explicitly Predicted Products Formed from Atmospheric Processes of Various Hydrocarbons A. Chung & M. Jang https://doi.org/10.1021/acsestair.6c00098
- Modeling Daytime and Nighttime Secondary Organic Aerosol Formation via Multiphase Reactions of Hydroxy-Aromatic Hydrocarbons from Wildfires M. Jang et al. https://doi.org/10.1021/acsestair.5c00453
- Modeling the influence of carbon branching structure on secondary organic aerosol formation via multiphase reactions of alkanes A. Madhu et al. https://doi.org/10.5194/acp-24-5585-2024
- The planetary boundary layer top as a valve: Unraveling bidirectional aerosol transport K. Cui et al. https://doi.org/10.1016/j.envres.2026.123986
- Species-specific effect of particle viscosity and particle-phase reactions on the formation of secondary organic aerosol Z. Luo et al. https://doi.org/10.1016/j.scitotenv.2024.175207
- SOA yields from C10 alkanes and oxygenates F. Graeffe et al. https://doi.org/10.5194/acp-25-10837-2025
- Modelling molecular composition of SOA from toluene photo-oxidation at urban and street scales K. Sartelet et al. https://doi.org/10.1039/D4EA00049H
- Formation and chemical evolution of secondary organic aerosol in two different environments: a dual-chamber study A. Aktypis et al. https://doi.org/10.5194/acp-24-13769-2024
- Modeling SOA Formation from Monocyclic, Bicyclic, and Branched-Cyclic Alkanes A. Madhu & M. Jang https://doi.org/10.1021/acsearthspacechem.4c00380
- SOA formation from complex anthropogenic hydrocarbon mixtures: modeling from laboratory to regional scales A. Madhu et al. https://doi.org/10.1080/02786826.2026.2645099
11 citations as recorded by crossref.
- Simulation of Secondary Organic Aerosol Formation Using Near-Explicitly Predicted Products from Naphthalene Photooxidation in the Presence of NOx S. Han & M. Jang https://doi.org/10.1021/acsearthspacechem.4c00217
- Simulations of SOA Oxidative Potentials Using Explicitly Predicted Products Formed from Atmospheric Processes of Various Hydrocarbons A. Chung & M. Jang https://doi.org/10.1021/acsestair.6c00098
- Modeling Daytime and Nighttime Secondary Organic Aerosol Formation via Multiphase Reactions of Hydroxy-Aromatic Hydrocarbons from Wildfires M. Jang et al. https://doi.org/10.1021/acsestair.5c00453
- Modeling the influence of carbon branching structure on secondary organic aerosol formation via multiphase reactions of alkanes A. Madhu et al. https://doi.org/10.5194/acp-24-5585-2024
- The planetary boundary layer top as a valve: Unraveling bidirectional aerosol transport K. Cui et al. https://doi.org/10.1016/j.envres.2026.123986
- Species-specific effect of particle viscosity and particle-phase reactions on the formation of secondary organic aerosol Z. Luo et al. https://doi.org/10.1016/j.scitotenv.2024.175207
- SOA yields from C10 alkanes and oxygenates F. Graeffe et al. https://doi.org/10.5194/acp-25-10837-2025
- Modelling molecular composition of SOA from toluene photo-oxidation at urban and street scales K. Sartelet et al. https://doi.org/10.1039/D4EA00049H
- Formation and chemical evolution of secondary organic aerosol in two different environments: a dual-chamber study A. Aktypis et al. https://doi.org/10.5194/acp-24-13769-2024
- Modeling SOA Formation from Monocyclic, Bicyclic, and Branched-Cyclic Alkanes A. Madhu & M. Jang https://doi.org/10.1021/acsearthspacechem.4c00380
- SOA formation from complex anthropogenic hydrocarbon mixtures: modeling from laboratory to regional scales A. Madhu et al. https://doi.org/10.1080/02786826.2026.2645099
Saved (final revised paper)
Latest update: 14 Oct 2026
Short summary
The CAMx–UNIPAR model simulated the SOA budget formed via multiphase reactions of hydrocarbons and the impact of emissions and climate on SOA characteristics under California’s urban environments during winter 2018. SOA growth was dominated by daytime oxidation of long-chain alkanes and nighttime terpene oxidation with O3 and NO−3 radicals. The spatial distributions of anthropogenic SOA were affected by the northwesterly wind, whereas those of biogenic SOA were insensitive to wind directions.
The CAMx–UNIPAR model simulated the SOA budget formed via multiphase reactions of hydrocarbons...
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