Journal of Korean Society of Water and Wastewater (상하수도학회지)

The Korean Society of Water and Wastewater (대한상하수도학회)
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Establishment of the Refined Model for Prediction of Flocculation/Sedimentation Efficiency Using Model Tree Technique

Model Tree기법을 이용한 정수처리공정에서의 응집/침전 효율 예측에 관한 연구

  • 박노석 (한국수자원공사 수자원연구원) ;
  • 박상영 (한국수자원공사 수자원연구원) ;
  • 김성수 (한국수자원공사 수자원연구원) ;
  • 정남정 (한국수자원공사 수자원연구원) ;
  • 이선주 (한국수자원공사 수자원연구원)
  • Received : 2006.06.16
  • Accepted : 2006.12.11
  • Published : 2006.12.15
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Abstract

This study was conducted to establish the refined model for prediction of flocculation/sedimentation efficiency in factual drinking water treatment plants using model tree technique. In order to carry out machine leaning for determining each linear model, five parameters; time, coagulant dose, raw water turbidity, SCD and conductivity, which were measured and collected from the field (K_DWTP), were selected and used. The existing analytical models developed by previous researchers were used only to examine closely the mechanism of flocculation rather than to apply it for practical purpose. The refined model established using model tree technique in this study could predict the factual sedimentation efficiency accurately (below 9% of average absolute error). Also, in aspect of engineering convenience, without any additional manipulation of parameters, it can be applied to practical works.

Keywords

References

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