Statistical SO_2 forecasting technique by multiple regression analysis was designed and developed to predict SO_2 concentration in Wonju City.
SO_2 concentration data measured from air pollution monitoring system and meteorological factors data such as : wind speed, atmospheric stability, surface temperature, relative humidity and precipitation were used in Wonju City during the 1996∼1997.
As the results, correlation model for forecasting was well fitted with some parameters including minimum temperature, wind speed and the SO_2 concentration of the previous day.

• 송동웅(상지대학과 환경공학과) | Dong-Woong Song (Dept. of Environmental Engineering, Sangji University)