The water regime in rivers is the result of a complex hydrological balance occurring in the upstream catchment. The prediction of water discharge in the short term requires not only a high-resolution weather forecast, but also a view on other water sources like snow melting, evapo-transpiration and ground waters.
“How much water will flow to my plant in the next days? Will I be subject to an extreme event?”
Addressing these questions is necessary to optimize the planning of a plant and cope with flood events.
Current prediction methods generally use a empirical approach. Precipitation forecasts feed a simple model based on the the flow recorded in the previous days and corrected by the water manager personal experience.
This approach is subject to several drawbacks:
Waterjade has developed a proprietary calculation algorithm, a blend of physically-based models and artificial intelligence, finalized to predict water inflow to production plants.
It takes in input many and different data sources available in the upstream catchment, like satellite images, numerical weather predictions and in-situ observations.
The advantages are: