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

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.

Authors

Institutions

Publication Details

Journal
OJS-Service ULBT
Published
2026-03-23
DOI
https://doi.org/10.71573/c01vn333
Primary Topic
Urban Stormwater Management Solutions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Juan Alfredo Jácome, Gabriela Cembrano, Jordi Meseguer, Álvaro Martínez et al.
OJS-Service ULBT
Urban Stormwater Management Solutions
article

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

Juan Alfredo Jácome, Gabriela Cembrano, Jordi Meseguer, Álvaro Martínez, David Sunyer, Joaquín Suárez, Antonio Lastra, Bernat Joseph-Duran, Alejandro Carrasco, Ángel Villanueva, Luis Romero, Vicenç Puig
article en

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.

OJS-Service ULBT
Universidade da Coruña (ES), Robotics Research (United States) (US), Centro Tecnológico del Agua (ES), Institute of Environmental Assessment and Water Research (ES), Institute of Informatics of the Slovak Academy of Sciences (SK), Universidad Isabel I (ES)
Clean water and sanitation
Openalex Percentile: Top 6%
Urban Stormwater Management Solutions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

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 — Juan Alfredo Jácome, Gabriela Cembrano, et al. · OJS-Service ULBT (2026) | TGRS Research Map | TGRS