The Effects of COVID-19 Lockdown on Air Pollutant Concentrations across China: A Google Earth Engine-Based Analysis

被引:3
|
作者
Wang, Siyu [1 ]
Chu, Haijiao [1 ]
Gong, Changyu [1 ]
Wang, Ping [1 ]
Wu, Fei [2 ]
Zhao, Chunhong [1 ,3 ]
机构
[1] Northeast Normal Univ, Sch Geog Sci, Key Lab Geog Proc & Ecol Secur Changbai Mt, Minist Educ, Changchun 130024, Peoples R China
[2] CenNavi Technol Co Ltd, Beijing 100094, Peoples R China
[3] State Key Lab Resources & Environm Informat Syst, Beijing 100010, Peoples R China
基金
中国国家自然科学基金;
关键词
urban; remote sensing; air pollutants; COVID-19; Google Earth Engine; China; APEC BLUE; OZONE; NOX;
D O I
10.3390/ijerph192417056
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
To overcome the spread of the severe COVID-19 outbreak, various lockdown measures have been taken worldwide. China imposed the strictest home-quarantine measures during the COVID-19 outbreak in the year 2020. This provides a valuable opportunity to study the impact of anthropogenic emission reductions on air quality. Based on the GEE platform and satellite imagery, this study analyzed the changes in the concentrations of NO2, O-3, CO, and SO2 in the same season (1 February-1 May) before and after the epidemic control (2019-2021) for 16 typical representative cities of China. The results showed that NO2 concentrations significantly decreased by around 20-24% for different types of metropolises, whereas O-3 increased for most of the studied metropolises, including approximately 7% in megacities and other major cities. Additionally, the concentrations of CO and SO2 showed no statistically significant changes during the study intervals. The study also indicated strong variations in air pollutants among different geographic regions. In addition to the methods in this study, it is essential to include the differences in meteorological impact factors in the study to identify future references for air pollution reduction measures.
引用
收藏
页数:14
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