Articles | Volume 18, issue 17
Atmos. Chem. Phys., 18, 12933–12952, 2018
https://doi.org/10.5194/acp-18-12933-2018

Special issue: Regional transport and transformation of air pollution in...

Atmos. Chem. Phys., 18, 12933–12952, 2018
https://doi.org/10.5194/acp-18-12933-2018

Research article 07 Sep 2018

Research article | 07 Sep 2018

Spatiotemporal variability of NO2 and PM2.5 over Eastern China: observational and model analyses with a novel statistical method

Mengyao Liu et al.

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Anna Wenzel on behalf of the Authors (25 Jun 2018)  Author's response
ED: Publish as is (15 Aug 2018) by Hang Su
AR by Mengyao Liu on behalf of the Authors (22 Aug 2018)  Author's response    Manuscript
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Short summary
Eastern China is heavily polluted by NO2, PM2.5, and other air pollutants. Our study uses EOF–EEMD to analyze the spatiotemporal variability of ground-level NO2, PM2.5, and their associations with meteorological processes. Their regular diurnal cycles are mainly affected by human activities, while irregular day-to-day variations are dominated by weather processes representing synchronous variation or north–south opposing changes over Eastern China.
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