AI and physically based technology to manage water resources
Weather forecasts alone cannot provide water supply forecasts. The flow rate in watercourses is the result of a complex hydrological balance involving rain, snow, evapo-transpiration and groundwater.
Rising temperatures induced by climate change have raised the snow line and changed precipitation intensity. As a result, mean historical inflows are outdated and no longer representative of the current climate.
Relying on pure empirical and simplified methods may result in serious inefficiencies and risky consequences.
Waterjade adapts data analysis and forecasting procedures to the changing climate and addresses all activities in need of water for daily operations.
Waterjade combines the latest hydrological models with artificial intelligence techniques. It processes big data from different sources, such as in-situ sensors, satellite images and weather forecasts.
The physically-based model separates various hydrological processes (e.g. snow and ice ablation, evapotranspiration, infiltration) and computes water’s residence time for the basin. Thus, it is possible to predict water availability in a given river section or in a reservoir.
Thanks to our technology, we provide a complete picture of current and future water availability in the catchment area. With Waterjade, companies are offered:
Snow water equivalent (SWE) monitoring in real-time
Short-term inflow forecasts (+7 days, hourly resolution)
Medium to long-term inflow and/or production forecasts (+6 months, monthly resolution)
Customised analyses of water availability over the next 30 years, depending on the climate change scenario
Water discharge forecast, hydrological studies and snow monitoring.
Waterjade is a customised prediction service based on the hydraulic configuration of a specific plant and the characteristics of the upstream catchment. Furthermore, it is a team of professionals who support customers in data interpretation.
Thanks to Waterjade we respond promptly to our customers’ needs in terms of accuracy and forecasting horizon.