Author(s): Sacha Gobeyn; Stijn Van Hoey; Tameremariyam Belachew; Arnout Roukaerts; Evi Vinck; Birgit De Bock; Rita Hochstrat; Michael Thomann; Ming Cheng; Vittorio Di Federico

Linked Author(s): Vittorio Di Federico

Keywords: Sewer systems; Urban runoff; Proxy sensing; Real-time control; IoT sensors

Abstract: This work summarizes the models and tools to enhance urban runoff monitoring by using concepts of real-time control and proxy sensing in three of the case studies (CSs) of the EU-financed project StopUP. In the CS Bologna, low-cost 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 useful for proxy sensing. In the CS Wetteren, a novel auto-sampling triggering approach that combines real-time observations, rainfall predictions, and near-real-time urban runoff modeling is tested. The approach used in the CS Birsfelden seeks to approximate pollution loads in urban runoff using online-measured water flow and water quality parameters as decision basis for operational adaptations. The combination of different data sources, i. e. predictions and real-time observations, add to increased identification and track&tracing of impact of pressures on urban systems, with potential application for real-time and pro-active control.

DOI: https://doi.org/10.64697/978-90-835589-7-4_41WC-P2067-cd

Year: 2025