Data Reconciliation for Wastewater Treatment Plant Simulation Studies—Planning for High-Quality Data and Typical Sources of Errors

Model results are only as good as the data fed as input or used for calibration. Data reconciliation for wastewater treatment modeling is a demanding task, and standardized approaches are lacking. This paper suggests a procedure to obtain high-quality data sets for model-based studies. The proposed...

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Veröffentlicht in:	Water environment research 2010-05, Vol.82 (5), p.426-433
Hauptverfasser:	Rieger, Leiv, Takács, Imre, Villez, Kris, Siegrist, Hansruedi, Lessard, Paul, Vanrolleghem, Peter A., Comeau, Yves
Format:	Artikel
Sprache:	eng
Schlagworte:	Activated sludge activated sludge model Applied sciences Average linear density Calibration Computer Simulation - standards Data quality data reconciliation Datasets diagnosis Exact sciences and technology fault detection General purification processes Labor standards measuring campaigns Modeling Models, Theoretical Pollution Reconciliation Reproducibility of Results Sensors Sewerage works: sewers, sewage treatment plants, outfalls Simulation sources of measuring errors Studies Waste Disposal, Fluid - methods Wastewater treatment Wastewater treatment plants Wastewaters Water treatment Water treatment and pollution
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