Air Pollution Concentration Calculation and Prediction

Abstract

With the onset of the industrial revolution, the environment is going through severe pollution leading to biological imbalance. The intensity of air pollution in the world has increased at such an alarming rate that it is the need of the hour to determine the changes in the pollution pattern. Air quality dispersion modeling can be done through preferred and recommended models, the most efficient being Eulerian grid-based model. The objective of the paper is to formulate the concentrations of air pollutants using Eulerian model. Various existing methods of prediction work on the basis of models result in satisfactory outcomes but with some certain loopholes. This paper involves methods of predicting pollutant concentration and air quality using machine learning. The data of different sites of Delhi are collected, and the pollutant contributing maximum to the pollution is elucidated using machine learning based methods. Further solutions can be identified to reduce these pollutants.