The Prediction of the Air Quality based on the Prophet Algorithm

Abstract

Due to the fact that the environmental problems are increasingly focused and among them, air quality is closely related to human’s health. It is necessary to have a better understanding on the surrounding air quality. In this paper, a dataset collected from the internet is used to exemplify the usage of the Prophet algorithm on the prediction of air quality. Compared with the conventional monitor and analytical methods, it can not only record the up-to-date air quality indexes, but it can also do some predictions on the air quality based on the dataset and plot the trend. Since Prophet algorithm can take seasonalities and holiday effects into considerations, it is suitable to employ it to predict the changeable air quality. The prediction results were output by the codes in the form of line charts. According to the experimental results in this study, the accuracy of the model is acceptable and reliable.