Is atmospheric oxidation capacity better in indicating tropospheric O3 formation?

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Frontiers of Environmental Science & Engineering ›› 2022, Vol. 16 ›› Issue (5) : 65. DOI: 10.1007/s11783-022-1544-5
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Is atmospheric oxidation capacity better in indicating tropospheric O3 formation?

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● This study summarizes and evaluates different approaches that indicate O3 formation.

● Isopleth and sensitivity methods are useful but have many prerequisites.

● AOC is a better indicator of photochemical reactions leading to O3 formation.

Abstract

Tropospheric ozone (O3) concentration is increasing in China along with dramatic changes in precursor emissions and meteorological conditions, adversely affecting human health and ecosystems. O3 is formed from the complex nonlinear photochemical reactions from nitrogen oxides (NOx = NO + NO2) and volatile organic compounds (VOCs). Although the mechanism of O3 formation is rather clear, describing and analyzing its changes and formation potential at fine spatial and temporal resolution is still a challenge today. In this study, we briefly summarized and evaluated different approaches that indicate O3 formation regimes. We identify that atmospheric oxidation capacity (AOC) is a better indicator of photochemical reactions leading to the formation of O3 and other secondary pollutants. Results show that AOC has a prominent positive relationship to O3 in the major city clusters in China, with a goodness of fit (R2) up to 0.6. This outcome provides a novel perspective in characterizing O3 formation and has significant implications for formulating control strategies of secondary pollutants.

Keywords

O3 / AOC / O3 formation regime

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. . Frontiers of Environmental Science & Engineering. 2022, 16(5): 65 https://doi.org/10.1007/s11783-022-1544-5

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Acknowledgements

This work was supported by the co-funded DFG-NSFC Sino-German Air Changes Project (No. 448720203), the National Natural Science Foundation of China (Nos. 42077194/42061134008/42022023/92044302), and the Shanghai International Science and Technology Partnership Project (China) (No. 21230780200).

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2022 Higher Education Press
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