Sources, Sinks, and Oxidation Pathways of Phenolic Compounds in South Korea Constrained Using KORUS-AQ Airborne Observations
Creators
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1.
University of Wollongong
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2.
James Cook University
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3.
Washington University in St. Louis
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4.
California Institute of Technology
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5.
Chinese University of Hong Kong
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6.
University of Colorado Boulder
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7.
International Institute for Applied Systems Analysis
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8.
Tsinghua University
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9.
University of California, Irvine
Abstract
Aromatics are an important class of volatile organic compounds with impacts on human health. The impacts of aromatics and their oxidation products vary. While the chemistry and major pathways of the precursor aromatics are relatively well understood, the same is not true for their phenolic oxidation products. Here, we use new observations of aromatic oxidation products collected during the Korea-United States Air Quality aircraft campaign to evaluate the aromatic chemical mechanism in the GEOS-Chem v13.4.0 chemical transport model. Based on these results, we implement changes to emissions, add ethylbenzene chemistry, and introduce phenol production from ethylbenzene and toluene oxidation. These changes improve simulation of benzene (reducing normalized mean bias from 24% to −9%) and phenol (−71% to −42%). Model biases increase for toluene, xylene, and cresol, but simulated mixing ratios remain within measurement uncertainties and observed interquartile ranges. We identify potential toluene emission overestimates from petrochemical complexes in Ulsan and Daesan and underestimates from the Daegu dyeing industrial complex, and underestimates of benzene emissions from China. Using the updated model, we find benzene and toluene contribute equally to phenol production in the boundary layer (accounting for 40% of phenol production each), and that toluene and ethylbenzene are atmospherically relevant precursors of phenol. Phenol and cresol loss is found to be dominated by OH oxidation (73% for both phenol and cresol). We find that benzaldehyde is the dominant source of nitrophenol production (67%), although phenol dominates nitrophenol production at night.
Copyright and License
© 2025 The Author(s). This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
Acknowledgement
We would like to thank Katherine Travis for input regarding ARO1 emission speciation, CO emissions, and HO2 uptake. We would also like to thank Andrew Weinheimer, who provided the KORUS-AQ NO and NO2 measurements that are used here, and Jared Brewer who provided code for creating the planeflight input files for GEOS-Chem. Support for this project includes funding from an Australian Government Research Training Program Scholarship, the National Aeronautics and Space Administration project 20-ACCDAM20-0039, the Research Grants Council of the Hong Kong Special Administrative Region, China, Early Career Scheme under Project Number CUHK 24300924, the Fine Particle Research Initiative in East Asia Considering National Differences (FRIEND) Project through the National Research Foundation of Korea (NRF) funded by the Ministry of Science and ICT under project code 2020M3G1A1114621. The work was undertaken with the assistance of resources provided at the NCI National Facility systems at the Australian National University through the National Computational Merit Allocation Scheme supported by the Australian Government (projects m19, q90). Open access publishing facilitated by University of Wollongong, as part of the Wiley - University of Wollongong agreement via the Council of Australian University Librarians.
Data Availability
The KORUS-AQ measurements are available publicly (NASA, 2025). The model used in the study is based on GEOS-Chem v13.4.0, which is publicly available (The International GEOS-Chem User Community, 2022). Files used in the updated nested GEOS-Chem simulation are also publicly available (MacFarlane, 2025). Updates described here will be submitted for inclusion in future versions of the standard model following acceptance of this paper.
Supplemental Material
Files
JGR Atmospheres - 2025 - MacFarlane - Sources Sinks and Oxidation Pathways of Phenolic Compounds in South Korea.pdf
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Additional details
Related works
- Is supplemented by
- Supplemental Material: https://agupubs.onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1029%2F2024JD043110&file=2024JD043110-sup-0001-Supporting+Information+SI-S01.pdf (URL)
- Dataset: 10.5067/Suborbital/KORUSAQ/DATA01 (DOI)
- Dataset: 10.5281/zenodo.6511970 (DOI)
- Dataset: 10.5281/zenodo.15320686 (DOI)
Funding
- Australian Government
- National Aeronautics and Space Administration
- 20‐ACCDAM20‐0039
- University Grants Committee
- CUHK 24300924
- National Research Foundation of Korea
- 2020M3G1A1114621
Dates
- Accepted
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2025-06-13
- Available
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2025-07-01Version of record online