Articles | Volume 23, issue 22
https://doi.org/10.5194/acp-23-14505-2023
https://doi.org/10.5194/acp-23-14505-2023
Research article
 | 
24 Nov 2023
Research article |  | 24 Nov 2023

Dynamics-based estimates of decline trend with fine temporal variations in China's PM2.5 emissions

Zhen Peng, Lili Lei, Zhe-Min Tan, Meigen Zhang, Aijun Ding, and Xingxia Kou

Data sets

National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce NCEP https://doi.org/10.5065/D65Q4T4Z

National Centers for Environmental Prediction/National Weather Service/NOAA/U.S. Department of Commerce NCEP https://doi.org/10.5065/Z83F-N512

HTAP_v2.2 G. Janssens-Maenhout, M. Crippa, D. Guizzardi, F. Dentener, M. Muntean, G. Pouliot, T. Keating, Q. Zhang, J. Kurokawa, R. Wankmüller, H. Denier van der Gon, J. J. P. Kuenen, Z. Klimont, G. Frost, S. Darras, B. Koffi, and M. Li https://doi.org/10.5194/acp-15-11411-2015

version 3.6.1 WRF-Chem https://www2.mmm.ucar.edu/wrf/users/download/get_sources.html#WRF-Chem

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Short summary
Annual PM2.5 emissions in China consistently decreased by about 3% to 5% from 2017 to 2020 with spatial variations and seasonal dependencies. High-temporal-resolution and dynamics-based PM2.5 emission estimates provide quantitative diurnal variations for each season. Significant reductions in PM2.5 emissions in the North China Plain and northeast of China in 2020 were caused by COVID-19.
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