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Comparison of modelling accuracy with and without exploiting automated optical monitoring information in predicting the treated wastewater quality
Published in Environmental Technology, 2018
Jani Tomperi, Kauko Leiviskä
In the earlier study [4], in addition to the temperature and anoxic proportion of volume, influent total nitrogen (12), influent sulphate (23), and mechanically treated wastewater nitrate nitrogen (17) and iron (26) were found to be important input variables in the SS model; iron (26) was important in modelling the BOD; sludge concentration (30) and PO4-P (11) in the COD model and total nitrogen (13), pH (21) and total phosphorus (9) of mechanically treated wastewater were important in the nitrogen model, as mainly also in this study.