Forecasting of Stream Qualities in Gumho River by Exponential Smoothing at Gumho2 Measurement Point using Monthly Time Series Data

  • Song, Phil-Jun (Department of Computer Science & Statistics Daegu University) ;
  • Lee, Bo-Ra (Department of Computer Science & Statistics Daegu University) ;
  • Kim, Jin-Yong (Korean Minjok Leadship Academy) ;
  • Kim, Jong-Tae (Department of Computer Science & Statistics Daegu University)
  • Published : 2007.08.31

Abstract

The goal of this study is to forecast the trend of stream quality and to suggest some policy alternatives in Gumbo river. It used the five different monthly time series data such as BOD, COD, T-N and EC of the nine of Gumbo River measurement points from Jan. 1998 to Dec. 2006. Water pollution is serious at Gumbo2 and Palgeo stream measurement points. BOD, COD, T-N and EC data are analyzed with the exponential smoothing model and the trend is forecasted until Dec. 2009.

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