Decoupling impacts of weather conditions on interannual variations in concentrations of criteria air pollutants  in South China – constraining analysis uncertainties  by using multiple analysis tools

Lin, Yu; Zhang, Leiming; Fan, Qinchu; Meng, He; Gao, Yang; Gao, Huiwang; Yao, Xiaohong

doi:https://doi.org/10.5194/acp-22-16073-2022

Articles | Volume 22, issue 24

https://doi.org/10.5194/acp-22-16073-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/acp-22-16073-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 24

Research article

|

22 Dec 2022

Research article |

| 22 Dec 2022

Decoupling impacts of weather conditions on interannual variations in concentrations of criteria air pollutants in South China – constraining analysis uncertainties by using multiple analysis tools

Yu Lin, Leiming Zhang, Qinchu Fan, He Meng, Yang Gao, Huiwang Gao, and Xiaohong Yao

Supplement

https://doi.org/10.5194/acp-22-16073-2022-supplement

Data sets

Real time data of urban air quality China National Environmental Monitoring Centre http://www.cnemc.cn/sssj/

Model code and software

A function for calculating deweathered percentage changes Y. Lin https://pypi.org/project/DePC/

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Short summary

In this study, we analyzed 7-year (from May 2014 to April 2021) concentration data of six criteria air pollutants (PM_2.5, PM₁₀, O₃, NO₂, CO and SO₂) as well as the sum of NO₂ and O₃ in six cities in South China. Three different analysis methods were used to identify emission-driven interannual variations and perturbations from varying weather conditions. In addition, a self-developed method was further introduced to constrain analysis uncertainties.