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

Jeroen Langeveld, Petra van Daal-Rombouts, Remy Schilperoort, Ingmar Nopens, Tony Flameling, Stefan Weijers

Research output: Contribution to journalArticleScientificpeer-review

9 Citations (Scopus)
18 Downloads (Pure)

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
Original languageEnglish
Article number491
Number of pages18
JournalWater
Volume9
Issue number7
DOIs
Publication statusPublished - 2017

Keywords

  • sewer system
  • empirical model
  • influent generator
  • influent modelling
  • gap filling
  • OA-Fund TU Delft

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    Langeveld, J., van Daal-Rombouts, P., Schilperoort, R., Nopens, I., Flameling, T., & Weijers, S. (2017). Empirical Sewer Water Quality Model for Generating Influent Data for WWTP Modelling. Water, 9(7), [491]. https://doi.org/10.3390/w9070491