Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Forecasting of Stream Qualities at Gumi industrial complex by Winters' Exponential Smoothing

  • Song, Phil-Jun (Department of Computer Science & Statistics Daegu University) ;
  • Um, Hee-Jung (Department of Computer Science & Statistics Daegu University) ;
  • Kim, Jong-Tae (Department of Computer Science & Statistics Daegu University)
  • Published : 2008.11.30
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Abstract

The goal of this paper is to analysis of the trend for stream quality in Gumi industrial complex with Winters' exponential smoothing method. It used the five different monthly time series data such as BOD, COD, TN, TP and EC from January 1998 to December 2006. The data of BOD, COD, TN, TP and EC are analyzed by time series method and forecasted the trends until December 2007. The stream qualities change for the better about BOD, COD, TN and TP, but the stream qualities resulted by EC is still serious.

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