Changes in stoichiometric characteristics of ambient air pollutants pre-to post-COVID-19 in China

被引:13
作者
Bai, Yuting [1 ]
Wang, Zichun [1 ]
Xie, Fei [1 ,2 ]
Cen, Le [1 ]
Xie, Zhilei [2 ]
Zhou, Xingjun [2 ]
He, Jiang [1 ,3 ]
Lu, Changwei [1 ,3 ]
机构
[1] Inner Mongolia Univ, Sch Ecol & Environm, Hohhot 010021, Peoples R China
[2] Inner Mongolia Environm Monitoring Ctr, Hohhot 010011, Peoples R China
[3] Inner Mongolia Univ, Inst Environm Geol, Hohhot 010021, Peoples R China
基金
中国国家自然科学基金;
关键词
COVID-19; Stoichiometric characteristics change; Urban agglomerations; NO2/SO2; PM2.5/PM10; PARTICULATE MATTER; POLLUTION; PM2.5; PM10;
D O I
10.1016/j.envres.2022.112806
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To prevent the Corona Virus Disease 2019 (COVID-19) spreading, Chinese government takes a series of corresponding measures to restrict human mobility, including transportation lock-down and industries suspension, which significantly influenced the ambient air quality and provided vary rare time windows to assess the impacts of anthropological activities on air pollution. In this work, we divided the studied timeframe (2019/12/ 24-2020/2/24) into four periods and selected 88 cities from 31 representative urban agglomerations. The indicators of PM2.5/PM10 and NO2/SO2 were applied, for the first time, to analyze the changes in stoichiometric characteristics of ambient air pollutants pre-to post-COVID-19 in China. The results indicated that the ratios of NO2/SO2 presented a responding decline, especially in YRD (-5.01), YH (-3.87), and MYR (-3.84), with the sharp reduction of traffic in post-COVID-19 periods (P3-P4: 2.34 +/- 0.94 m/m) comparing with pre-COVID-19 periods (P1-P2: 4.49 +/- 2.03 m/m). Whereas the ratios of PM2.5/PM10 increased in P1-P3, then decreased in P4 with relatively higher levels (>0.5) in almost all urban agglomerations. Furthermore, NO2 presented a stronger association with PM2.5/PM10 variation than CO; and PM2.5 with NO2/SO2 variation than PM10. In summary, the economic structure, lockdown measures and meteorological conditions could explain the noteworthy variations in different urban agglomerations. These results would be in great help for improving air quality in the post-epidemic periods.
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页数:8
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