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Indirect measurement of key water quality parameters in sewage treatment plants
Author(s) -
Blom Hans A.
Publication year - 1996
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/(sici)1099-128x(199609)10:5/6<697::aid-cem453>3.0.co;2-5
Subject(s) - environmental science , water quality , phosphorus , biochemical oxygen demand , sewage , alkalinity , sewage treatment , chemical oxygen demand , mathematics , environmental engineering , chemistry , ecology , biology , organic chemistry
Many variables are regularly measured in frequently taken water samples from sewage treatment plants. This results in large data sets with associated high costs. The total phosphorus in the sewage is of great importance since it is an indicator of the total pollution concentration, but no direct on‐line analyser is available. This paper concentrates on finding an indirect model for total phosphorus content (tot‐P) based on other variables routinely analysed in inlet water to a Norwegian sewage treatment plant. Data from 1993 were used for calibration and the developed models were validated with data from 1994. A PLS model for tot‐P based on eight X ‐variables gave the lowest test set RMSEP (0·35). Models based on fewer X ‐variables gave higher RMSEP, indicating that more X ‐variables stabilize the models. For practical use a model for tot‐P based on orthophosphate, total organic carbon and suspended solids seems to be a good compromise between simplicity and predictability. With this model the total phosphorus content was predicted with an average deviation (RMSEP) of 0·45 mgPl −1 from the measured values, giving a relative precision of 20%. Since the X ‐variables in the model can be measured on‐line, this model can be used as an input for coagulant dosing in the sewage treatment plant and for process control. For this purpose the 20% relative precision is quite acceptable. Preliminary results of PLS models for alkalinity, chemical oxygen demand and biological oxygen demand indicate that useful models can also be developed for these Y ‐variables. The use of these PLS models has a substantial cost saving potential. They may replace traditional chemical analysis, speed up the time from sampling to results and represent a possible input to on‐line process control. © 1996 by John Wiley & Sons, Ltd.