The second wave of COIVD19 has jolted the environment and economy worldwide. Air pollution is one of the primary causes of these pandemics. Therefore, it is important to analyze the air quality index during the COVID19 pandemic. In literature, machine learning (ML) and deep learning (DL) methods...

This paper focuses the various impact of the severity of COVID-19 development on air quality in different types of cities. We analyze the different degrees of improvement of concentrations of six air pollutants (PM2.5, PM10, SO2, NO2, CO and O3) in different types of Chinese cities with...

While the decrease in air pollutants concentration during the COVID-19 lockdown is well documented, high-resolution and multi-city data have not yet been explored systematically to derive a generalizable quantitative link to the drop in vehicular traffic. To bridge this gap, high spatial...

Against the backdrop of the COVID-19 pandemic, most countries implemented a partial or full lockdown as a preventive measure. Although lockdown caused an economic contraction, it unexpectedly improved the environment, especially air pollution. This paper quantifies the impact of the lockdown on...