Premium
Predicting full‐scale TOC removal
Author(s) -
Tseng Tai,
Edwards Marc
Publication year - 1999
Publication title -
journal ‐ american water works association
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 74
eISSN - 1551-8833
pISSN - 0003-150X
DOI - 10.1002/j.1551-8833.1999.tb08622.x
Subject(s) - alum , coagulation , total organic carbon , environmental science , full scale , langmuir , ferric , raw water , scale (ratio) , chemistry , pulp and paper industry , environmental engineering , environmental chemistry , computer science , engineering , inorganic chemistry , organic chemistry , psychology , physics , quantum mechanics , psychiatry , aqueous solution , computer vision
A Langmuir model providing good prediction of full‐scale TOC removal during enhanced coagulation may help utilities comply with forthcoming regulations. A Langmuir model provides the best available prediction of full‐scale removal of total organic carbon (TOC) during enhanced coagulation. Because jar tests allow more transfer of carbon dioxide gas than treatment plants, the model can even correct certain errors arising during such tests. When the model was adapted to predicting TOC removal in two raw water sources mixed together in different proportions, standard error was only 0.15 mg/L for two years of jar‐test data at one utility. Case studies of 27 full‐scale utilities showed accurate prediction of TOC removal by coagulation (1) at a range of utilities using alum, ferric, or polyaluminum chloride coagulants; (2) over long time periods without a need for frequent recalibration; (3) with use of a predicted rather than measured coagulation pH; and (4) for two raw water sources mixed in various proportions.