Author(s): Sacha Gobeyn; Stijn Van Hoey; Tameremariyam Belachew; Arnout Roukaerts; Evi Vinck; Birgit De Bock; Rita Hochstrat; Michael Thomann; Ming Chang; Vittorio Di Federico
Linked Author(s): Vittorio Di Federico
Keywords: Sewer systems Real-time control Detrended Cross - Correlation Analysis IoT sensors
Abstract: This work summarizes the models and tools suitable for real-time control in three of the case studies (CSs) of the EU-financed project StopUP. In CS Bologna, IoT sensor data collected from the WWTP are analyzed with Detrended Cross-Correlation Analysis (DCCA) and Autoregressive Distributed Lag (ARDL) models, showing intriguing correlations between hydraulic quantities and water quality parameters. The model adopted in CS Wetteren incorporates a novel auto-sampling triggering approach that combines real-time observations, rainfall predictions, and near-real-time urban runoff modeling. The approach used in CS Birsfelden seeks to approximate pollution loads in urban run-off using online-measured water flow and water quality parameters. The combination of different data sources, i. e. predictions and real-time observations, add to increased track and tracing of impact of pressures on urban systems, with potential application for real-time and pro-active control.
Year: 2025