Prediction of Air Pollution Based on Observed Data

Abstract

Some methods for predicting air pollutant concentration values based on observed data are presented and compared in this paper.Although many observation stations for air pollution have been set up in Japan, their observed data are usually not enough to construct the complete physical model of air pollution. Therefore an important interest lies in considering prediction of air pollutant concentration values based on the data observed at small numbers of stations.The authors show that it is suitable to construct AR model for prediction from these data. Two kinds of preprocessing of observed data are shown and the results of prediction are compared. The predicted values by these methods do not show good agreements with the observed data, in the case of high concentration values. The authors discussed the possibility of predicting high concentration values from the observed data by using pattren classification of the obser the morning, and a prediction method with help of a physical model is also presented.