the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Multipollutant air-quality improvement and ozone divergence across Chinese cities
Abstract. Over the past decade, China has achieved substantial reductions in particulate matter and primary gaseous pollutants, yet the response of ground-level ozone (O3) remains ambiguous. This study analyzed the multipollutant evolution of air quality in 356 Chinese cities during 2015–2025 using ground-based monitoring data; trend and city-level divergence analyses were performed for 331 cities with sufficient observational coverage. Annual mean concentrations of PM2.5, PM10, SO2, NO2 and CO decreased by 40.8 %, 35.3 %, 70.3 %, 36.2 % and 45.0 %, respectively. In contrast, O3 increased by 10.3 %, with positive trends in 76.1 % of cities. Sen’s slope analysis showed spatially coherent declines in conventional pollutants but more heterogeneous O3 dynamics. Regionally, the largest O3 increase occurred in the Fenwei Plain (+14.3 %), whereas the smallest occurred in Northeast China. Seasonal correlations revealed a reversal in O3-centred relationships: positive associations with PM2.5, PM10 and NO2 in spring and summer shifted to negative relationships in winter, reflecting seasonal changes in photochemical and meteorological conditions. A city-level divergence framework classified cities into four types based on the five-pollutant reduction index (R5) and O3 response. Type I and Type II cities showed similar conventional pollutant reductions but sharply different O3 responses, while Type II cities were more frequent in northern and inland China. These results show that controlling particulate and primary gaseous pollution does not guarantee lower secondary photochemical pollution. Further air-quality improvement requires coordinated, city-specific and regionally differentiated multipollutant strategies integrating PM reduction, NOx–VOC precursor management and seasonal O3 formation conditions.
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Status: final response (author comments only)
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RC1: 'Comment on egusphere-2026-3999', Anonymous Referee #1, 17 Aug 2026
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AC1: 'Reply on RC1', Liang Zhou, 31 Aug 2026
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3999/egusphere-2026-3999-AC1-supplement.pdf
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AC1: 'Reply on RC1', Liang Zhou, 31 Aug 2026
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RC2: 'Comment on egusphere-2026-3999', Anonymous Referee #2, 17 Aug 2026
General comments:
Hurynovich and co-authors provide an overview of ground-based monitoring site observations of PM2.5, PM10, SO2, NO2, CO, and O3 in 331 cities in China from 2015 to 2025. They present statistical analysis of national and regional trends in pollutant concentrations, investigate seasonal correlations between pollutants, and categorize cities in four type-groups based on the relative change in O3 and the mean relative change in the other five pollutants from 2015 to 2025. The manuscript is well-written, however the study does not provide any new findings, novel measurements, or evidence-based implications about the underlying chemistry and atmospheric processes driving the reported trends. For this reason, I suggest that the manuscript is not of a caliber suitable for publication in ACP.
In addition to the overall lack of demonstrated scientific advancement, I would also like to bring to the authors’ attention a few key concerns I have with the current form of the manuscript:
- While changes in NOx and heterogenous chemistry are discussed as possible drivers of changes in O3 production, trends in VOC emissions over the ten-year period are not addressed. As key precursors for both O3 and secondary PM, VOCs have been a target of recent emission reduction goals in China (e.g., Li et al., 2019). The possible impacts of changes in VOC emissions on O3 formation regime should be discussed, even if the monitoring data do not include VOC measurements. The authors could use satellite retrievals of formaldehyde as a way to estimate changes in VOC emissions from 2015–2025 (e.g., Shen et al., 2019).
- The influence of meteorological trends over the ten-year period on the comparisons in the study is not mentioned. For example, what role would increasing land surface temperatures have on O3 production between the early and late period?
- The abstract and conclusions of the manuscript emphasize that O3 increased in 76.1% of cities over the ten-year period when using the Sen’s slope method to calculate national trends. However, one of the main findings of the national trends analysis in Section 3.1 is that only 19.9% of cities had statistically significant trends in O3 over the ten-year period. These two statistics are at odds — did the majority of cities have an increasing trend or no significant trend in O3 from 2015–2025?
References:Li, K., Jacob, D.J., Liao, H. et al. (2019) A two-pollutant strategy for improving ozone and particulate air quality in China. Nature Geoscience, 12, 906–910. https://doi.org/10.1038/s41561-019-0464-x
Shen, L., Jacob, D. J., Zhu, L., Zhang, Q., Zheng, B., Sulprizio, M. P., et al. (2019). The 2005–2016 trends of formaldehyde columns over China observed by satellites: Increasing anthropogenic emissions of volatile organic compounds and decreasing agricultural fire emissions. Geophysical Research Letters, 46, 4468–4475. https://doi.org/10.1029/2019GL082172
Citation: https://doi.org/10.5194/egusphere-2026-3999-RC2 -
AC2: 'Reply on RC2', Liang Zhou, 31 Aug 2026
The comment was uploaded in the form of a supplement: https://egusphere.copernicus.org/preprints/2026/egusphere-2026-3999/egusphere-2026-3999-AC2-supplement.pdf
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AC2: 'Reply on RC2', Liang Zhou, 31 Aug 2026
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General Comments
This manuscript analyzes the trends of six pollutants (PM2.5, PM10, CO, NO2, SO2 and O3) at the station scale across China and explores the seasonal-scale relationships between ozone and the other five pollutants. Overall, most of the conclusions presented are already well-established in the existing literature, and the novelty of this study is quite limited. Regrettably, I was unable to identify the most important novel contribution or key new insight that this work aims to deliver. I propose that this version does not meet the high-quality standards expected by Atmospheric Chemistry and Physics.
I have the following suggestions for the authors' consideration: