Zhao Xiuyong, Wang Gang, Wang Sheng, Zhao Na, Zhang Ming, Yue Wenqi
National Environmental Protection Research Institute for Electric Power Co., Ltd. State Environmental Protection Key Laboratory of Atmospheric Physical Modeling and Pollution Control, Nanjing 210031, China.
Department of Environmental and Safety Engineering, College of Chemical Engineering, China University of Petroleum (East China), Qingdao 266580, China.
Atmos Environ (1994). 2021 Dec 1;266:118750. doi: 10.1016/j.atmosenv.2021.118750. Epub 2021 Sep 24.
The coronavirus disease (COVID-19) spread rapidly worldwide in the first half of 2020. Stringent national lockdown policies imposed by China to prevent the spread of the virus reduced anthropogenic emissions and improved air quality. A weather research and forecasting model coupled with chemistry was applied to evaluate the impact of meteorology and emissions on air quality during the COVID-19 outbreak (from January 23 to February 29, 2020) in mid-eastern China. The results show that air pollution episodes still occurred on polluted days and accounted for 31.6%-60.5% of the total number of outbreak days in mid-eastern China from January 23 to February 29, 2020. However, anthropogenic emissions decreased significantly, indicating that anthropogenic emission reduction cannot completely offset the impact of unfavorable meteorological conditions on air quality. Favorable meteorological conditions in 2019 improved the overall air quality for a COVID-19 outbreak in 2019 instead of 2020. PM concentrations decreased by 4.2%-29.2% in Beijing, Tianjin, Shijiazhuang, and Taiyuan, and increased by 6.1%-11.5% in Jinan and Zhengzhou. PM concentrations increased by 10.9%-20.5% without the COVID-19 outbreak of 2020 in mid-eastern China, and the frequency of polluted days increased by 5.3%-18.4%. Source apportionment of PM during the COVID-19 outbreak showed that industry and residential emissions were the dominant PM contributors (32.7%-49.6% and 26.0%-44.5%, respectively) followed by agriculture (18.7%-24.0%), transportation (7.7%-15.5%), and power (4.1%-5.9%). In Beijing, industrial and residential contributions to PM concentrations were lower (32.7%) and higher (44.5%), respectively, than in other cities (38.7%-49.6% for industry and 26.0%-36.2% for residential). Therefore, enhancing regional cooperation and implementing a united air pollution control are effective emission mitigation measures for future air quality improvement, especially the development of new technologies for industrial and cooking fumes.
2020年上半年,新型冠状病毒肺炎(COVID-19)在全球迅速传播。中国实施的严格全国封锁政策旨在防止病毒传播,这减少了人为排放并改善了空气质量。应用一个耦合化学的天气研究与预报模型,来评估2020年1月23日至2月29日中国中东部地区COVID-19疫情期间气象学和排放对空气质量的影响。结果表明,在污染日仍出现空气污染事件,其在中国中东部地区2020年1月23日至2月29日疫情总天数中占31.6%-60.5%。然而,人为排放显著下降,这表明人为减排不能完全抵消不利气象条件对空气质量的影响。2019年有利的气象条件改善了2019年而非2020年COVID-19疫情期间的整体空气质量。北京、天津、石家庄和太原的PM浓度下降了4.2%-29.2%,济南和郑州的PM浓度上升了6.1%-11.5%。在中国中东部地区,如果没有2020年的COVID-19疫情,PM浓度将上升10.9%-20.5%,污染日频率将增加5.3%-18.4%。COVID-19疫情期间PM的源解析表明,工业和居民排放是PM的主要贡献者(分别占32.7%-49.6%和26.0%-44.5%),其次是农业(18.7%-24.0%)、交通(7.7%-15.5%)和电力(4.1%-5.9%)。在北京,工业和居民对PM浓度的贡献分别低于(32.7%)和高于(44.5%)其他城市(工业为38.7%-49.6%,居民为26.0%-36.2%)。因此,加强区域合作并实施统一的空气污染控制是未来改善空气质量的有效减排措施,特别是开发工业和烹饪油烟的新技术。