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.
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.
the Creative Commons Attribution 4.0 License.
Technical note
| 
25 Jun 2026
Technical note |
| 25 Jun 2026
| 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
State Key Laboratory of Water Pollution Control and Green Resource Recycling and School of Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Yutong Wang
State Key Laboratory of Water Pollution Control and Green Resource Recycling and School of Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Key Laboratory of Formation and Prevention of Urban Air Pollution Complex, Ministry of Ecology and Environment, Shanghai Academy of Environment Sciences, Shanghai 200233, China
Yuan Ji
State Key Laboratory of Water Pollution Control and Green Resource Recycling and School of Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Lei Zhang
State Key Laboratory of Water Pollution Control and Green Resource Recycling and School of Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, CICAEET, Nanjing, Jiangsu 210044, China
Shuanzhu Sun
Jiangsu Frontier Electric Power Technology Co., Ltd., 58 Suyuan Ave., Nanjing, Jiangsu 211102, China
Yuandong Bian
State Key Laboratory of Water Pollution Control and Green Resource Recycling and School of Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Zimeng Zhang
State Key Laboratory of Water Pollution Control and Green Resource Recycling and School of Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Jiewen Zhu
Jiangsu Frontier Electric Power Technology Co., Ltd., 58 Suyuan Ave., Nanjing, Jiangsu 211102, China
Wenxin Zhao
State Key Laboratory of Water Pollution Control and Green Resource Recycling and School of Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Sheng Zhong
Jiangsu Provincial Environmental Monitoring Center, 100 Zhonghe Rd., Nanjing 210013, China
Yu Zhao
CORRESPONDING AUTHOR
State Key Laboratory of Water Pollution Control and Green Resource Recycling and School of Environment, Nanjing University, 163 Xianlin Rd., Nanjing, Jiangsu 210023, China
Collaborative Innovation Center of Atmospheric Environment and Equipment Technology, CICAEET, Nanjing, Jiangsu 210044, China
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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.
We developed a near-real-time approach that consistently estimates the daily emissions of air...
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