Abstract
Secondary organic aerosol (SOA) has been shown to significantly impact climate, air quality, and human health. Hydroxyl dicarboxylic acids (OHDCA) are generally of secondary origin and ubiquitous in the atmosphere, with high concentrations in South China. This study explored the formation of representative OHDCA species based on time-resolved measurements and explainable machine learning. Malic acid, the most commonly studied OHDCA, had higher concentrations in the noncontinental air (63.7 ± 33.3 ng m-3) than in the continental air (7.5 ± 1.4 ng m-3). Machine learning quantitatively revealed the high relative importance of aromatics and monoterpenes SOA, as well as aqueous processes, in the noncontinental air, due to either shared precursors or similar formation pathways. Isoprene SOA, particle surface area, and ozone corrected for titration loss (Ox) also elevated the concentrations of malic acid in the continental air. Aqueous photochemical formation of malic acid was confirmed given the synergy between LWC, temperature, and Ox. Moreover, the OHDCA-like SOA might have facilitated a relatively rare particle growth from early afternoon to midnight in the case with the highest malic acid concentrations. This study enhances our understanding of the formation of OHDCA and its climate impacts.
| Original language | English |
|---|---|
| Pages (from-to) | 277-286 |
| Number of pages | 10 |
| Journal | ACS Environmental Au |
| Volume | 5 |
| Issue number | 3 |
| Early online date | 14 Mar 2025 |
| DOIs | |
| Publication status | Published - 21 May 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 11 Sustainable Cities and Communities
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SDG 13 Climate Action
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SDG 14 Life Below Water
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SDG 15 Life on Land
User-Defined Keywords
- formation mechanism
- hydroxyl dicarboxylic acid
- machine learning
- malic acid
- secondary organic aerosol
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