Articles | Volume 26, issue 4
https://doi.org/10.5194/acp-26-3195-2026
© 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-26-3195-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An observation-based methodology and application for future atmosphere secondary pollution control via an atmospheric oxidation capacity path tracing approach
Ke Yue
Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing 100044, China
School of Environment, Beijing Jiaotong University, Beijing 100044, China
Yulong Yan
CORRESPONDING AUTHOR
Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing 100044, China
School of Environment, Beijing Jiaotong University, Beijing 100044, China
Yueyuan Niu
Flight College, Shandong University of Aeronautics, Binzhou, Shandong 256600, China
Jiaqi Dong
Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing 100044, China
School of Environment, Beijing Jiaotong University, Beijing 100044, China
Chao Yang
Shanxi Climate Center, Taiyuan, Shanxi 030006, China
Yongqian Zhou
Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing 100044, China
School of Environment, Beijing Jiaotong University, Beijing 100044, China
Danning Wang
Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing 100044, China
School of Environment, Beijing Jiaotong University, Beijing 100044, China
Junjie Li
Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing 100044, China
School of Environment, Beijing Jiaotong University, Beijing 100044, China
Zhen Li
Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing 100044, China
School of Environment, Beijing Jiaotong University, Beijing 100044, China
Lin Peng
CORRESPONDING AUTHOR
Engineering Research Center of Clean and Low-carbon Technology for Intelligent Transportation, Ministry of Education, School of Environment, Beijing Jiaotong University, Beijing 100044, China
School of Environment, Beijing Jiaotong University, Beijing 100044, China
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Jinwen Zhang, Yongjian Liang, Chenglei Pei, Bo Huang, Yingyan Huang, Xiufeng Lian, Shaojie Song, Chunlei Cheng, Cheng Wu, Zhen Zhou, Junjie Li, and Mei Li
Atmos. Chem. Phys., 26, 3253–3276, https://doi.org/10.5194/acp-26-3253-2026, https://doi.org/10.5194/acp-26-3253-2026, 2026
Short summary
Short summary
Inadequate characterization of carbon dioxide (CO2) dynamics limits the understanding of coastal megacity carbon cycles. Using an observation-driven framework integrating high-precision CO2/CO measurements, this study shows that the "coastal CO2 dome" can shift seasonally away from the urban core, reveals nonlinear sea–land breeze effects, quantifies urban vegetation's role in CO2 budgets, thereby providing new insights into coastal carbon monitoring and mitigation assessment.
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Short summary
Atmospheric Oxidation Capacity (AOC) is the key driver for forming secondary pollutants like ozone (O3) and Secondary Organic Aerosol (SOA). The secondary pollution remains severe in China and its co-control challenging. To address this, an atmospheric oxidation path tracking (AOCPT) approach was introduced. This approach facilitates the synergistic control of O3 and SOA through source apportionment and targeted regulation of AOC, offering a strategy for effective air quality management.
Atmospheric Oxidation Capacity (AOC) is the key driver for forming secondary pollutants like...
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