Implementation of a Real-Time decision support system to reduce pollutant load- discharges in Madrid combined sewer system based on off-line and real time modelling

Autor/innen

  • Antonio Lastra Canal de Isabel II, Spain Autor/in
  • Alejandro Carrasco Canal de Isabel II, Spain Autor/in
  • Ángel Villanueva Aquatec, Spain Autor/in
  • David Sunyer Aquatec, Spain Autor/in
  • Jordi Meseguer Centro Tecnológico del Agua image/svg+xml Autor/in
  • Bernat Joseph-Duran Centro Tecnológico del Agua image/svg+xml Autor/in
  • Gabriela Cembrano Institut de Robòtica i Informàtica Industrial image/svg+xml Autor/in
  • Luis Romero Institut de Robòtica i Informàtica Industrial image/svg+xml Autor/in
  • Vicenç Puig Institut de Robòtica i Informàtica Industrial image/svg+xml Autor/in
  • Joaquin Suárez Water and Environmental Engineering Group (GEAMA), Spain , Universidade da Coruña image/svg+xml Autor/in
  • Juan Alfredo Jácome Water and Environmental Engineering Group (GEAMA), Spain , Universidade da Coruña image/svg+xml Autor/in
  • Abraham Martínez Universidade da Coruña image/svg+xml , Water and Environmental Engineering Group (GEAMA), Spain Autor/in

DOI:

https://doi.org/10.71573/c01vn333

Schlagwörter:

decision support system, CSO, combined sewer overflows, sewer modelling, pollutant load

Abstract

The LIFE RUBIES project aims to develop and deploy an operational tool in Lille (France) and Madrid (Spain) to reduce the impact of combined sewer overflows (CSO) during rain events, by controlling water pollution in real-time. Real-time control will enable decision making over the flow and storage of urban wastewater to prevent pollution, leveraging the coupling of sensors, models, and controllers. This paper presents the work conducted in the Madrid case study to implement and test the system, improving the operation of part of its sanitation facilities (two stormwater tanks with a total capacity of 600.000 m3, two wastewater treatment plants, and the corresponding sewage network), and showcases some preliminary results. The project started in October 2021 and will conclude in December 2025.

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Veröffentlicht

2026-03-27