Articles | Volume 22, issue 8
https://doi.org/10.5194/acp-22-5495-2022
https://doi.org/10.5194/acp-22-5495-2022
Research article
 | 
26 Apr 2022
Research article |  | 26 Apr 2022

Estimation of secondary PM2.5 in China and the United States using a multi-tracer approach

Haoran Zhang, Nan Li, Keqin Tang, Hong Liao, Chong Shi, Cheng Huang, Hongli Wang, Song Guo, Min Hu, Xinlei Ge, Mindong Chen, Zhenxin Liu, Huan Yu, and Jianlin Hu

Model code and software

The source codes of the MTEA model H. Zhang and H. Li http: //www.nuistairquality.com/m_tea

Download
Short summary
We developed a new algorithm with low economic/technique costs to identify primary and secondary components of PM2.5. Our model was shown to be reliable by comparison with different observation datasets. We systematically explored the patterns and changes in the secondary PM2.5 pollution in China at large spatial and time scales. We believe that this method is a promising tool for efficiently estimating primary and secondary PM2.5, and has huge potential for future PM mitigation.
Altmetrics
Final-revised paper
Preprint