Study of different Air Quality Forecasting Models

One of the main effects of urban growth is industrialization, which adds to the strain on resources like water and the environment. In recent years, air pollution has emerged as one of the biggest environmental challenges in emerging nations. It has negative impacts on people, plants, and animals. According to a recent study, air pollution is responsible for 3.3 million premature deaths worldwide each year. Therefore, air quality forecasting is crucial since it lessens the negative effects of air pollution on human health. In this paper, the various models used to predict air quality have. Air quality forecasting is crucial since it lessens the negative effects of air pollution on human health been discussed with its limitations. The number of factors affecting the Air Quality prediction model has also been discussed. It has been found that Machine learning techniques provide a model with the help of which we can predict the air quality when several factors affecting the air quality have been considered.