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Water 2017, 9(7), 491;

Empirical Sewer Water Quality Model for Generating Influent Data for WWTP Modelling

Partners4UrbanWater, Javastraat 104a, Nijmegen 6524 MJ, The Netherlands
Section Sanitary Engineering, Department of Water Management, Delft University of Technology, P.O. Box 5048, Delft 2628 CD, The Netherlands
Witteveen+Bos, P.O. Box 233, Deventer 7400 AE, The Netherlands
BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Coupure Links 653, Gent 9000, Belgium
Waterschap De Dommel, P.O. Box 10.001, Boxtel 5280 DA, The Netherlands
Author to whom correspondence should be addressed.
Received: 30 March 2017 / Revised: 25 June 2017 / Accepted: 30 June 2017 / Published: 5 July 2017
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Wastewater treatment plants (WWTP) typically have a service life of several decades. During this service life, external factors, such as changes in the effluent standards or the loading of the WWTP may change, requiring WWTP performance to be optimized. WWTP modelling is widely accepted as a means to assess and optimize WWTP performance. One of the challenges for WWTP modelling remains the prediction of water quality at the inlet of a WWTP. Recent applications of water quality sensors have resulted in long time series of WWTP influent quality, containing valuable information on the response of influent quality to e.g., storm events. This allows the development of empirical models to predict influent quality. This paper proposes a new approach for water quality modelling, which uses the measured hydraulic dynamics of the WWTP influent to derive the influent water quality. The model can also be based on simulated influent hydraulics as input. Possible applications of the model are filling gaps in time series used as input for WWTP models or to assess the impact of measures such as real time control (RTC) on the performance of wastewater systems. View Full-Text
Keywords: sewer system; empirical model; influent generator; influent modelling; gap filling sewer system; empirical model; influent generator; influent modelling; gap filling

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Langeveld, J.; Van Daal, P.; Schilperoort, R.; Nopens, I.; Flameling, T.; Weijers, S. Empirical Sewer Water Quality Model for Generating Influent Data for WWTP Modelling. Water 2017, 9, 491.

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