Articles | Volume 24, issue 13
https://doi.org/10.5194/acp-24-7773-2024
https://doi.org/10.5194/acp-24-7773-2024
Research article
 | 
09 Jul 2024
Research article |  | 09 Jul 2024

Identifying decadal trends in deweathered concentrations of criteria air pollutants in Canadian urban atmospheres with machine learning approaches

Xiaohong Yao and Leiming Zhang

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Short summary
This study investigates long-term trends of criteria air pollutants, including NO2, CO, SO2, O3 and PM2.5, and NO2+O3 measured in 10 Canadian cities during the last 2 to 3 decades.  We also investigate associated driving forces in terms of emission reductions, perturbations from varying weather conditions and large-scale wildfires, as well as changes in O3 sources and sinks.
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