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

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

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

Jeroen Langeveld, Petra Van Daal, Remy Schilperoort, Ingmar Nopens, Tony Flameling and Stefan Weijers

Abstract

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.

Keywords : sewer system; empirical model; influent generator; influent modelling; gap filling

Water   2017 9 (7), 491; https://doi.org/10.3390/w9070491 

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.

Source: MDPI