期刊
URBAN CLIMATE
卷 38, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.uclim.2021.100900
关键词
COVID-19; Air pollutants; Urbanization; Air quality monitoring; Sentinel 5P; MODIS
资金
- Department of Biotechnology (DBT), Govt. of India
- Indian Council of Social Science Research (ICSSR), Govt. of India
- Institute for Social and Economic Change (ISEC), Bengaluru
The COVID-19 lockdown has positively impacted air quality in major Indian cities, with reductions in NO2 and SO2 concentrations. There is a positive correlation between population density and NO2 concentration in cities. Further research on source attribution of pollutants is recommended to assess emission reduction actions.
The strategies to contain the spread of COVID-19 pandemic, including restricted human movement and economic activities, have shown positive impacts on the environment. Present research analysed the effects of COVID-19 led lockdown on air quality with special reference to major pollutants, namely nitrogen dioxide (NO2), carbon monoxide (CO), sulphur dioxide (SO2) and aerosol optical depth (AOD). The assessment has been conducted for megacities of India (Delhi, Mumbai, Bengaluru, Chennai and Kolkata) for four months, that is, March and April in 2019 and 2020 using Sentinel 5P and MCD19A2 data. A decrease in concentrations of air pollutants, specifically NO2 and SO2, has been observed during the lockdown period in all the cities; whereas CO and AOD have exhibited discrete pattern of spatio-temporal variation. Four megacities except Kolkata have revealed a positive correlation between NO2 concentration and population density. The results conclude overall improvement in air quality during COVID-19 led lockdown. The current situation provides a unique opportunity to implement a structural economic change that could help us move towards a city with low emission economy. Realizing the achievable improvement of air quality, the study suggests further in-depth research on source attribution of individual pollutants to assess the prospect of emission reduction actions.
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