Ajou University repository

Secondary organic aerosol formation via multiphase reaction of hydrocarbons in urban atmospheres using CAMx integrated with the UNIPAR modeloa mark
  • Yu, Zechen ;
  • Jang, Myoseon ;
  • Kim, Soontae ;
  • Son, Kyuwon ;
  • Han, Sanghee ;
  • Madhu, Azad ;
  • Park, Jinsoo
Citations

SCOPUS

16

Citation Export

Publication Year
2022-07-14
Publisher
Copernicus GmbH
Citation
Atmospheric Chemistry and Physics, Vol.22, pp.9083-9098
All Science Classification Codes (ASJC)
Atmospheric Science
Abstract
The prediction of secondary organic aerosol (SOA) on regional scales is traditionally performed by using gas-particle partitioning models. In the presence of inorganic salted wet aerosols, aqueous reactions of semivolatile organic compounds can also significantly contribute to SOA formation. The UNIfied Partitioning-Aerosol phase Reaction (UNIPAR) model utilizes the explicit gas mechanism to better predict SOA formation from multiphase reactions of hydrocarbons. In this work, the UNIPAR model was incorporated with the Comprehensive Air Quality Model with Extensions (CAMx) to predict the ambient concentration of organic matter (OM) in urban atmospheres during the Korean-United States Air Quality (2016 KORUS-AQ) campaign. The SOA mass predicted with CAMx-UNIPAR changed with varying levels of humidity and emissions and in turn has the potential to improve the accuracy of OM simulations. CAMx-UNIPAR significantly improved the simulation of SOA formation under the wet condition, which often occurred during the KORUS-AQ campaign, through the consideration of aqueous reactions of reactive organic species and gas-aqueous partitioning. The contribution of aromatic SOA to total OM was significant during the low-level transport/haze period (24-31 May 2016) because aromatic oxygenated products are hydrophilic and reactive in aqueous aerosols. The OM mass predicted with CAMx-UNIPAR was compared with that predicted with CAMx integrated with the conventional two-product model (SOAP). Based on estimated statistical parameters to predict OM mass, the performance of CAMx-UNIPAR was noticeably better than that of the conventional CAMx model, although both SOA models underestimated OM compared to observed values, possibly due to missing precursor hydrocarbons such as sesquiterpenes, alkanes, and intermediate volatile organic compounds (VOCs). The CAMx-UNIPAR simulation suggested that in the urban areas of South Korea, terpene and anthropogenic emissions significantly contribute to SOA formation while isoprene SOA minimally impacts SOA formation.
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/32811
DOI
https://doi.org/10.5194/acp-22-9083-2022
Fulltext

Type
Article
Funding
Financial support. This research has been supported by the National Institute of Environmental Research (grant no. NIER2020-01-01-010), the National Science Foundation (grant no. AGS1923651), and the National Research Foundation of Korea (grant no. 2020M3G1A1114556).
Show full item record

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Kim, Soontae  Image
Kim, Soontae 김순태
Department of Environmental and Safety Engineering
Read More

Total Views & Downloads

File Download

  • There are no files associated with this item.