Preprints
https://doi.org/10.5194/egusphere-2025-3956
https://doi.org/10.5194/egusphere-2025-3956
12 Sep 2025
 | 12 Sep 2025
Status: this preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).

Response relationship between atmospheric O3 and its precursors in Beijing based on smog chamber simulation and a revised MCM model

Jialin Lu, Tianzeng Chen, Jun Liu, Huiying Xuan, Peng Zhang, Qingxin Ma, Yonghong Wang, Hao Li, Biwu Chu, and Hong He

Abstract. Ozone (O3) pollution has been receiving increasing attention, but its simulation performance in models remains unsatisfactory. This study characterized the response relationship between O3 and its precursors in the atmospheric relavant condition through a combination of smog chamber experiments and Master Chemical Mechanism (MCM) box model. By adding chamber wall related reaction mechanisms, the model achieved significant improvement in simulating O3 with an Normalized Mean Bias (NMB) value changing from -76.1 % to -12.7 %. The enhanced model was subsequently extended to the ambient atmospheric conditions in the Daxing District of Beijing, incorporating the parameterization of ground related reactions, heterogeneous reactions of Nitrogen Dioxide (NO2), and unidentified NO2 sinks. Compared to basic model, the resulting revised model demonstrated substantially enhanced accuracy in simulating ambient O3 concentrations with an Normalized Mean Bias (NMB) value changing from 113.8 % to -5.2 % and enhanced O3 formation sensitivity to Volatile Organic Compounds (VOCs) in Daxing District. These findings underscore that incorporating interface mediated chemical processes and accounting for unidentified NO2 sinks into model is critical for determining the sensitivity of O3 formation and optimizing regional O3 pollution control strategies.

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Jialin Lu, Tianzeng Chen, Jun Liu, Huiying Xuan, Peng Zhang, Qingxin Ma, Yonghong Wang, Hao Li, Biwu Chu, and Hong He

Status: open (until 24 Oct 2025)

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Jialin Lu, Tianzeng Chen, Jun Liu, Huiying Xuan, Peng Zhang, Qingxin Ma, Yonghong Wang, Hao Li, Biwu Chu, and Hong He
Jialin Lu, Tianzeng Chen, Jun Liu, Huiying Xuan, Peng Zhang, Qingxin Ma, Yonghong Wang, Hao Li, Biwu Chu, and Hong He
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Short summary
Ground-level ozone pollution in Beijing poses a serious threat to health and the environment. We ultimately discovered that insufficiently recognized processes in the atmosphere that can scavenge nitrogen dioxide are crucial. After incorporating these into the model, the prediction accuracy for Beijing ozone was dramatically improved. Our work provides more precise tools for designing cleaner air strategies in China.
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