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    Atmospheric oxidation capacity and O3 formation in a coastal city of southeast China: Results from simulation based on four-season observation
    Gaojie Chen , Taotao Liu , Jinsheng Chen*, Lingling Xu*, Baoye Hu , Chen Yang , Xiaolong Fan, Mengren Li, Youwei Hong , Xiaoting Ji , Jinfang Chen, Fuwang Zhang

    The pollution of atmospheric ozone in China shows an obvious upward trend in the past decade. However, the studies on the atmospheric oxidation capacity and O3 formation in four seasons in the southeastern coastal region of China with the rapid urbanization remain limited. Here, a four-season field observation was carried out in a coastal city of southeast China, using an observation-based model combining with the Master Chemical Mechanism, to explore the atmospheric oxidation capacity (AOC), radical chemistry, O3 formation pathways and sensitivity. The results showed that the average net O3 production rate (14.55 ppb/hr) in summer was the strongest, but the average O3 concentrations in autumn was higher. The AOC and ROx levels presented an obvious seasonal pattern with the maximum value in summer, while the OH reactivity in winter was the highest with an average value of 22.75 sec-1. The OH reactivity was dominated by oxygenated VOCs (OVOCs) (30.6%-42.8%), CO (23.2%-26.8%), NO2 (13.6%-22.0%), and alkenes (8.4%-12.5%) in different seasons. HONO photolysis dominated OH primary source on daytime in winter, while in other seasons, HONO photolysis in the morning and ozone photolysis in the afternoon contributed mostly. Sensitivity analysis indicated that O3 production was controlled by VOCs in spring, autumn and winter, but a VOC-limited and NOx-limited regime in summer, and alkene and aromatic species were the major controlling factors to O3 formation. Overall, the study characterized the atmospheric oxidation capacity and elucidated the controlling factors for O3 production in the coastal area with the rapid urbanization in China.

    Key words:Atmospheric oxidation capacity;Radical chemistry;Ozone production;Sensitivity analysis

    Volume:136

    Page:68-80

    Journal:Journal of Environmental Sciences

    https://doi.org/10.1016/j.jes.2022.11.015

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