Dai Qili, Hou Linlu, Liu Bowen, Zhang Yufen, Song Congbo, Shi Zongbo, Hopke Philip K, Feng Yinchang
State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control College of Environmental Science and Engineering Nankai University Tianjin China.
CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research Tianjin China.
Geophys Res Lett. 2021 Jun 16;48(11):e2021GL093403. doi: 10.1029/2021GL093403. Epub 2021 Jun 4.
Responding to the 2020 COVID-19 outbreak, China imposed an unprecedented lockdown producing reductions in air pollutant emissions. However, the lockdown driven air pollution changes have not been fully quantified. We applied machine learning to quantify the effects of meteorology on surface air quality data in 31 major Chinese cities. The meteorologically normalized NO, O, and PM concentrations changed by -29.5%, +31.2%, and -7.0%, respectively, after the lockdown began. However, part of this effect was also associated with emission changes due to the Chinese Spring Festival, which led to ∼14.1% decrease in NO, ∼6.6% increase in O and a mixed effect on PM in the studied cities that largely resulted from festival associated fireworks. After decoupling the weather and Spring Festival effects, changes in air quality attributable to the lockdown were much smaller: -15.4%, +24.6%, and -9.7% for NO, O, and PM, respectively.
为应对2020年新冠疫情爆发,中国实施了前所未有的封锁措施,导致空气污染物排放量减少。然而,封锁导致的空气污染变化尚未得到充分量化。我们运用机器学习来量化气象因素对中国31个主要城市地表空气质量数据的影响。封锁开始后,经气象因素归一化处理的一氧化氮(NO)、臭氧(O)和细颗粒物(PM)浓度分别变化了-29.5%、+31.2%和-7.0%。然而,这种影响的一部分也与春节期间排放变化有关,春节期间研究城市的一氧化氮排放量下降了约14.1%,臭氧增加了约6.6%,而细颗粒物受到的影响较为复杂,主要是由节日期间燃放烟花所致。在分离出天气和春节的影响后,封锁导致的空气质量变化要小得多:一氧化氮、臭氧和细颗粒物分别为-15.4%、+24.6%和-9.7%。