Study on the characteristics of urban background ozone pollution based on long-term observations from mountain sites in China during 2015–2022

In recent years, Chinese cities have faced persistent O 3 pollution challenges. O 3 concentrations at urban mountain sites, serving as proxies for urban background O 3 levels, can help address data gaps in O 3 research in China. This study, for the first time, analyzed O 3 data from ten urban mountain sites during 2015–2022 using statistical methods like the Mann-Kendall test, Theil-Sen slope estimation, and Pearson correlation analysis to reveal characteristics and trends in urban background O 3 and proposed a metric for assessing mountain sites as urban background stations. Results indicate that O 3 at mountain sites were generally higher than at plain sites, regardless of mean, 10th percentile, or 90th percentile the average maximum daily 8-h average (MDA8) O 3 . Although mountain sites exhibited similar annual and diurnal variations as plain sites, their amplitudes were significantly lower. Significant upward trends ( P < 0.05) in MDA8 O 3 were observed mainly at plain sites, whereas trends at mountain sites were insignificant ( P > 0.05) during 2015–2022. The increase in urban ground-level O 3 was largely due to changes in VOCs and NO x emission structures, which reduce nighttime titration effects while enhancing daytime O 3 production. The insignificant trends observed at mountain sites suggest that these mountain sites may be in NO x -limited or transitional regimes rather than VOCs-limited regimes, which is also associated with their lower NO x concentrations compared to plain sites. These findings suggest that if China continues to prioritize the reduction of NO x emissions, urban ground-level O 3 could further increase and approach the O 3 at mountain sites. Finally, this study proposes that the correlation in nighttime O 3 concentrations between mountain and plain stations can serve as a valuable indicator for evaluating the suitability of mountain stations as regional background stations in urban areas. It recommends mountain sites in cities such as Changji, Nanping for urban background O 3 monitoring stations. • O 3 levels at mountain sites were generally higher than at plain sites, with similar annual and diurnal patterns but lower variation amplitudes. • The significant upward trends in the average maximum daily 8-h average (MDA8) O 3 from 2015 to 2022 were mainly concentrated at plain sites. • The nighttime O 3 correlation between mountain and plain stations can assess the suitability of mountain sites as urban background stations.

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Publication Details

Journal
Atmospheric Research
Published
2024-09-19
DOI
https://doi.org/10.1016/j.atmosres.2024.107696
Citations
2
Primary Topic
Air Quality and Health Impacts
Type
article
Field-Weighted Citation Impact
0.63

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article

Study on the characteristics of urban background ozone pollution based on long-term observations from mountain sites in China during 2015–2022

Laiguo Chen, Junjun Deng, Bo Gao, Shaojia Fan et al.
2 citations
Atmospheric Research
Air Quality and Health Impacts
0.63
article

Study on the characteristics of urban background ozone pollution based on long-term observations from mountain sites in China during 2015–2022

Laiguo Chen, Junjun Deng, Bo Gao, Shaojia Fan, Jiaren Sun, Wei Zhao
article en
2 citations

Abstract

In recent years, Chinese cities have faced persistent O 3 pollution challenges. O 3 concentrations at urban mountain sites, serving as proxies for urban background O 3 levels, can help address data gaps in O 3 research in China. This study, for the first time, analyzed O 3 data from ten urban mountain sites during 2015–2022 using statistical methods like the Mann-Kendall test, Theil-Sen slope estimation, and Pearson correlation analysis to reveal characteristics and trends in urban background O 3 and proposed a metric for assessing mountain sites as urban background stations. Results indicate that O 3 at mountain sites were generally higher than at plain sites, regardless of mean, 10th percentile, or 90th percentile the average maximum daily 8-h average (MDA8) O 3 . Although mountain sites exhibited similar annual and diurnal variations as plain sites, their amplitudes were significantly lower. Significant upward trends ( P < 0.05) in MDA8 O 3 were observed mainly at plain sites, whereas trends at mountain sites were insignificant ( P > 0.05) during 2015–2022. The increase in urban ground-level O 3 was largely due to changes in VOCs and NO x emission structures, which reduce nighttime titration effects while enhancing daytime O 3 production. The insignificant trends observed at mountain sites suggest that these mountain sites may be in NO x -limited or transitional regimes rather than VOCs-limited regimes, which is also associated with their lower NO x concentrations compared to plain sites. These findings suggest that if China continues to prioritize the reduction of NO x emissions, urban ground-level O 3 could further increase and approach the O 3 at mountain sites. Finally, this study proposes that the correlation in nighttime O 3 concentrations between mountain and plain stations can serve as a valuable indicator for evaluating the suitability of mountain stations as regional background stations in urban areas. It recommends mountain sites in cities such as Changji, Nanping for urban background O 3 monitoring stations. • O 3 levels at mountain sites were generally higher than at plain sites, with similar annual and diurnal patterns but lower variation amplitudes. • The significant upward trends in the average maximum daily 8-h average (MDA8) O 3 from 2015 to 2022 were mainly concentrated at plain sites. • The nighttime O 3 correlation between mountain and plain stations can assess the suitability of mountain sites as urban background stations.

Atmospheric ResearchVol. 311
Sun Yat-sen University (CN), Tianjin University (CN), Ministry of Ecology and Environment (CN), South China Institute Of Environmental Sciences (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 30%
Air Quality and Health Impacts
0.63
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