Description
Operational model providing short term predictions of conductivity, as proxy for salinity, at key locations along the Albert Canal (Antwerp, Belgium). The model combines a data-driven statistical model and a process based concept module, using information from a real-time sensor network and operational information. The model provides scenario analysis to support decision making for surface water management (e.g. drinking water production, shipping and transport activities) by predicting conductivity levels under different conditions (e.g. normal/drougths, pumping actions, ship traffic activities, intake rates)
Target audience
Water utilities, environmental agencies, industries, governmental authorities