Atmospheric Chemistry and Physics
Atmospheric Chemistry and Physics
ACP
Articles | Volume 26, issue 12
Articles | Volume 26, issue 12
https://doi.org/10.5194/acp-26-8913-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-26-8913-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 12
Technical note
 | 
25 Jun 2026
Technical note |  | 25 Jun 2026

Technical note: Rapid assessment of drivers and air quality effects of regional daily changes in air pollutant emissions based on near-real-time techniques

Chen Gu, Yutong Wang, Yuan Ji, Lei Zhang, Shuanzhu Sun, Yuandong Bian, Zimeng Zhang, Jiewen Zhu, Wenxin Zhao, Sheng Zhong, and Yu Zhao

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Short summary
We developed a near-real-time approach that consistently estimates the daily emissions of air pollutants. Compared to previous emission inventory, the new emission estimates better supported air quality simulation and efficiently detected short-term emission change due to unexpected events at the provincial level. By combining machine learning, moreover, the major sources of temporal variability of air quality were identified for effective policy making of air pollution controls.
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