Articles | Volume 18, issue 17
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, Jintai Lin, Yuchen Wang, Yang Sun, Bo Zheng, Jingyuan Shao, Lulu Chen, Yixuan Zheng, Jinxuan Chen, Tzung-May Fu, Yingying Yan, Qiang Zhang, and Zhaohua Wu


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Discussed (final revised paper)

Latest update: 23 May 2024
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.
Final-revised paper