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Establishment of the Refined Model for Prediction of Flocculation/Sedimentation Efficiency Using Model Tree Technique  

Park, No-Suk (한국수자원공사 수자원연구원)
Park, Sang-Young (한국수자원공사 수자원연구원)
Kim, Seong-Su (한국수자원공사 수자원연구원)
Jeong, Nam-Jeong (한국수자원공사 수자원연구원)
Lee, Sun-Ju (한국수자원공사 수자원연구원)
Publication Information
Journal of Korean Society of Water and Wastewater / v.20, no.6, 2006 , pp. 789-797 More about this Journal
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
model tree technique; prediction of flocculation/sedimentation efficiency; the refined model;
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