Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 26, issue 11
Articles | Volume 26, issue 11
https://doi.org/10.5194/acp-26-7933-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-7933-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 11
Research article
 | 
10 Jun 2026
Research article |  | 10 Jun 2026

Satellite observations reveal heterogeneous atmospheric composition responses to rapid emission changes

Zeyu Yang, Fan Cheng, Jian Gao, Huan Liu, and Jing Wei

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Short summary
We developed a machine learning approach to map daily air pollution across China at high resolution, covering six major pollutants. Our results reveal how different pollutants respond differently to changes in human activity and emissions, uncovering the underlying chemical and atmospheric processes. This study provides detailed evidence of air pollution patterns and interactions, offering insights that can guide more effective strategies to protect air quality and public health.
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