Impact of COVID-19 lockdown on air quality analyzed through machine learning techniques
Description
After February 2020, the majority of the world's governments decided to implement a lockdown in order to limit the spread of the deadly COVID-19 virus. This restriction improved air quality by reducing emissions of particular atmospheric pollutants
