the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Temperature-dependent evaporation emission and gas/particle partitioning drive the seasonal dynamics of primary intermediate-volatility organic compounds
Abstract. Intermediate-volatility organic compounds (IVOCs) serve as crucial precursors to secondary organic aerosol (SOA), yet their seasonal variations remain insufficiently characterized, impeding a comprehensive understanding of their atmospheric processing and impacts on air quality. To capture the seasonal dynamics of primary IVOCs and identify the key drivers governing their variability, four-season field campaigns were conducted at an urban site in Yangtze River Delta region. The total concentration of measured IVOCs was 1228.2 ± 132.7 ng m⁻³ (average ± 95 % confidence interval), dominated by long-chain alkanes. A distinctive summer-maximum and winter-minimum pattern was identified for measured IVOCs, contrasting sharply with typical seasonal trends of most primarily-emitted air pollutants. This pattern was driven by enhanced temperature-dependent evaporative emissions and efficient particle-to-gas partitioning of low-volatility IVOCs during warm seasons. Petroleum-related sources were confirmed as the dominant contributors to the measured IVOCs. Positive matrix factorization (PMF) model further revealed evaporative emissions as the largest contributor (38.9 %), followed by vehicle exhaust (37.7 %), gas/particle partitioning (14.8 %), and industrial emissions (8.6 %). Our findings elucidate the critical roles of temperature-dependent emissions and gas/particle partitioning in shaping the seasonal cycle of IVOCs, and highlight the potentially expanding contribution of evaporative sources to urban IVOC loads under future climate change scenarios.
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Status: open (until 21 Sep 2026)
- RC1: 'Comment on egusphere-2026-4389', Anonymous Referee #1, 21 Aug 2026 reply
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General comments:
This study conducted a four‑season field campaign at an urban site in the Yangtze River Delta, revealing a distinctive seasonal pattern of measured IVOCs, with a maximum in summer and a minimum in winter. The authors provide robust observational evidence that temperature‑dependent evaporative emissions and gas/particle partitioning are the key drivers, and these findings have important implications for SOA modelling and the refinement of emission inventories. Overall, the manuscript is logically structured, and the dataset quality and analytical methodology adopted throughout the study are reliable. I suggest the paper be accepted for publication in ACP pending minor revisions.
Specific comments: