Significant impacts of COVID-19 lockdown on urban air pollution in Kolkata (India) and amelioration of environmental health

The fatal novel coronavirus (COVID-19) pandemic disease smashes the normal tempo of global socio-economic and cultural livelihood. Most of the countries impose a lockdown system with social distancing measures to arrest the rapid transmission of this virus into the human body. The objective of this study is to examine the status of air quality during and pre-COVID-19 lockdown and to recommend some long-term sustainable environmental management plan. The pollution data like PM10, PM2.5, O-3, SO2, NO(2)and CO have been obtained from State Pollution Control Board under Govt. of West Bengal. Similarly, various land surface temperature (LST) maps have been prepared using LANDSAT-8 OLI and LANDSAT-7 ETM + images of USGS. The maps of NO(2)and aerosol concentration over Indian subcontinent have been taken from ESA and NASA. The digital thematic maps and diagrams have been depicted by Grapher 13 and Arc GIS 10.3 platforms. The result shows that the pollutants like CO, NO(2)and SO(2)are significantly decreased, while the average level of O(3)has been slightly increased in 2020 during the lockdown due to close-down of all industrial and transport activities. Meanwhile, around 17.5% was the mean reduction of PM(10)and PM(2.5)during lockdown compared with previous years owing to complete stop of vehicles movement, burning of biomass and dust particles from the construction works. This study recommends some air pollution-tolerant plant species (in urban vacant spaces and roof tops) for long-term cohabitation among environment, society and development.

Automated summary

The global COVID-19 pandemic has disrupted the normal pace of global socio-economic and cultural life. This study analyzed the air quality during and before the lockdown period, finding significant reductions in pollutants like CO, NO(2), and SO(2) during the lockdown, while O(3) slightly increased. There was an average reduction of 17.5% in PM(10) and PM(2.5) during the lockdown compared to previous years.