서울시 광화문 지역의 대기질 변동 특성의 추계학적 분석

Stochastic Properties of Air Quality Variation ín Seoul

The stochastic vanance and structures of time series data on air quality were examined by emp loying the techniques of autocorrelation function. vanance spectrum, fourier series. ARIMA model. Among the air quality properties of atmosphere. SO 、is one of the most siginificant and widely measured parameters. In the study, the air quality data were included hourly observations on S02TSP and Cχ The data were measured by automatic recording instrument installed in Kwa. nghwamoon during February and March in 1991. The results of study were as follows ; 1. Hourly air quality series varied Nith the domiant 24 hour periodicity and the 12 hour periodic variation was also observed. 2. The correlation coefficients between S02 and 03 is -0.4735. 3. In simulating or forecasting vanation in SO~ ARIMA models are on a useful tools. The multi plicative seasonal ARIMA (1. 1. 0) (0, 2, 1) 24 modeì provided satisfactory results for hourly S02 time senes