Forecasting influent flow rate and composition with occasional data for supervisory management system by time series model

Forecasting influent flow rate and composition with occasional data for supervisory management system by time series model

The information on the incoming load to wastewater treatment plants is not often available to apply modelling for evaluating the effect of control actions on a full-scale plant. In this paper, a time series model was developed to forecast flow rate, COD, NH4(+)-N and PO4(3-)-P in influent by using 2...

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Publié dans:Water science and technology : a journal of the International Association on Water Pollution Research. - 1986. - 53(2006), 4-5 vom: 05., Seite 185-92
Auteur principal: Kim, J R (Auteur)
Autres auteurs: Ko, J H, Im, J H, Lee, S H, Kim, S H, Kim, C W, Park, T J
Format: Article
Langue:English
Publié: 2006
Accès à la collection:Water science and technology : a journal of the International Association on Water Pollution Research
Sujets:Journal Article Research Support, Non-U.S. Gov't Phosphates Quaternary Ammonium Compounds