A Literature Review on Prediction of Air Quality Index and Forecasting Ambient Air Pollutants using Machine Learning Algorithms


Authors : Radhika M.Patil; Dr. H. T. Dinde; Sonali. K. Powar

Volume/Issue : Volume 5 - 2020, Issue 8 - August

Google Scholar : http://bitly.ws/9nMw

Scribd : https://bit.ly/2Z8eKlQ

DOI : 10.38124/IJISRT20AUG683

Day by day the air pollution becomes serious concern in India as well as in overall world. Proper or accurate prediction or forecast of Air Quality or the concentration level of other Ambient air pollutants such as Sulfur Dioxide, Nitrogen Dioxide, Carbon Monoxide, Particulate Matter having diameter less than 10µ, Particulate Matter having diameter less than 2.5µ, Ozone, etc. is very important because impact of these factors on human health becomes severe. This literature review focuses on the various techniques used for prediction or modelling of Air Quality Index (AQI) and forecasting of future concentration levels of pollutants that may cause the air pollution so that governing bodies can take the actions to reduce the pollution.

Keywords : AQI, air pollutants, Linear Regression, Prediction, Artificial Neural Network

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