Air pollution control can be brought to accomplishment by the development of emission control methods, sampling and measurement of air pollutants and air pollution forecast.
The purpose of this study is to develop the system concept of statistical forecast for the daily activities of regional air pollution control.
In the present paper, the statistical model of the variation of air pollutant concentration is proposed by way of an example of SO
2 concentration and the validity of the proposed statistical model is verified through the analysis of correlograms of SO
2 concentration observed at the monitoring stations in Tokyo Metropolitan Government, Saitama Prefecture, Chiba Prefecture, Yokohama City and Kawasaki City.
The results are as follows;
(1) The mixed model of the synthetic type of periodical variations and the auto-regressive type is satisfactory for use as the statistical model of variation of air pollutant concentration.
(2) The correlograms can be classified into the nine patterns according to the three criteria: periodicity, persistencies of 24-hour period and 1-hour period. All of these patterns are considered to be the proposed statistical model.
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