Secondary organic aerosol formation via multiphase reaction of hydrocarbons in urban atmospheres using CAMx integrated with the UNIPAR model
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Published:2022-07-14
Issue:13
Volume:22
Page:9083-9098
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ISSN:1680-7324
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Container-title:Atmospheric Chemistry and Physics
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language:en
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Short-container-title:Atmos. Chem. Phys.
Author:
Yu ZechenORCID, Jang MyoseonORCID, Kim Soontae, Son Kyuwon, Han Sanghee, Madhu Azad, Park Jinsoo
Abstract
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.
Funder
National Research Foundation of Korea National Science Foundation National Institute of Environmental Research
Publisher
Copernicus GmbH
Subject
Atmospheric Science
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