On the Development of the Statistical $SO_2$ Forecasting Technique by the Multiple Regression Analysis in Wonju City

중회귀식을 이용한 원주시 $SO_2$ 오염도 예보기법 개발에 관한 연구

  • 송동웅 (상지대학교 환경공학과)
  • Published : 1998.12.01

Abstract

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.

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