Exploitation of artificial intelligence for predicting the change in air quality and rain fall accumulation during COVID-19

Abstract

This article describes the effect of lockdown measures in major cities on air quality along with rainfall accumulation. The impacts COVID-19 on the environment during lockdown conditions have been compared without lockdown conditions with respect to variable time duration and meteorological conditions. Particulate matter concentration of Chennai, Bangalore, Delhi, and Melbourne were assessed during the lockdown period. The mitigation measures taken by governments resulted in improved air quality particularly PM2.5 due to decreased road traffic. In addition, the rainfall and ground water accumulation were investigated during the lockdown period. The finding of this paper signifies the impacts of measures taken by government and provides detail view on death rate with respect to air quality reduction. The rainfall data were accessed in the four parts of India such as the South peninsula, North-West, East and North-East, and Central India. Besides, the anomaly between the observation periods was represented along with the temperature distribution. Compelling all it is evident that the COVID-19 reduced the concentration of the pollutants emitted from various sources. This eventually leads to excess rainfall in most regions around India compared to 2019. On the other end, COVID-19 does not create any significant impact of ozone layer improvement.