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Related Experiment Video

Updated: Nov 2, 2025

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure
07:15

Parameterizing V-notch Weir Equations for Flow Monitoring in a Drainage Control Structure

Published on: April 25, 2025

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Control-oriented quality modelling approach of sewer networks.

Congcong Sun1, Luis Romero2, Bernat Joseph-Duran3

  • 1Farm Technology Group, Wageningen University & Research, P.O. Box 16, 6700 AA, Wageninge, The Netherlands; Advanced Control System Group at the Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Llorens i Artigas, 4-6, 08028, Barcelona, Spain.

Journal of Environmental Management
|June 16, 2021
PubMed
Summary

This study introduces a real-time sewer network quality model to optimize pollution from combined sewer overflows. The approach effectively manages water quality dynamics and reduces pollution loads using advanced control strategies.

Keywords:
Control-oriented quality modellingMPC optimizationSewer networkTSS

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Area of Science:

  • Environmental Engineering
  • Water Resource Management
  • Control Systems

Background:

  • Sewer networks face challenges in real-time pollution management from combined sewer overflows.
  • Existing models often lack scalability and real-time optimization capabilities for water quality dynamics.

Purpose of the Study:

  • To propose a control-oriented quality modeling approach for real-time optimization of pollution load in large-scale sewer networks.
  • To develop and validate a quality-based model predictive control strategy for managing sewer water quality.

Main Methods:

  • Developed simple, scalable equations to model water quality dynamics, using Total Suspended Solids (TSS) as the indicator.
  • Employed virtual reality simulations for model calibration and sensitivity analysis.
  • Implemented a quality-based model predictive control (MPC) strategy.

Main Results:

  • The control-oriented modeling approach accurately represents sewer quality dynamics.
  • The model predictive control strategy effectively reduces pollution loads in real-time.
  • Scalable model equations allow for application across different network elements.

Conclusions:

  • The proposed control-oriented modeling and optimization approach is effective for real-time management of sewer network quality.
  • This method offers a viable strategy for reducing pollution from combined sewer overflows.
  • The approach demonstrates robustness and efficiency in a pilot case study.