![\"\u6b64\u56fe\u50cf\u7684alt\u5c5e\u6027\u4e3a\u7a7a\uff1b\u6587\u4ef6\u540d\u4e3afig-1024x959.jpg\"](\"http:\/\/meicmodel.org\/wp-content\/uploads\/2021\/06\/fig-1024x959.jpg\")
Our results suggest that the COVID-19 lockdown has reduced China\u2019s anthropogenic emissions substantially between January and March in 2020, with the largest reductions in February. Emissions of SO2<\/sub>, NOx<\/sub>, CO, NMVOCs, and primary PM2.5<\/sub> were estimated to have decreased by 27%, 36%, 28%, 31%, and 24%, respectively, in February 2020 compared to the same month in 2019. The reductions in anthropogenic emissions were dominated by the industry sector for SO2<\/sub> and PM2.5<\/sub> and were contributed to approximately equally by the industry and transportation sectors for NOx<\/sub>, CO, and NMVOCs. With the spread of coronavirus controlled, China\u2019s anthropogenic emissions rebounded in April and since then returned to the comparable levels of 2019 in the second half of 2020. In 2020, China\u2019s annual emissions of SO2<\/sub>, NOx<\/sub>, CO, NMVOCs, and primary PM2.5<\/sub> have declined by 7.1%, 5.6%, 4.8%, 5.3%, and 5.5%, respectively, compared to the emissions in 2019. The air quality simulations based on our estimated emissions reproduce the spatial-temporal variation in the concentrations of PM2.5<\/sub>, SO2<\/sub>, NO2<\/sub>, and CO from 2019 to 2020.<\/p>\n\n\n\n China’s anthropogenic emissions data for 2019 and 2020 can be downloaded from the link below. If you need gridded emissions data for air quality model simulations, please contact Bo Zheng (bozheng@sz.tsinghua.edu.cn<\/a>).<\/p>\n\n\n\n Data download\uff1a<\/p>\n\n\n\n