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CHIST-ERA IV project
CHIST-ERA-19-CES-002
Official starting date: May 1, 2021
Official ending date: Decemeber 31, 2024
Mission of the project
Mission of the project
Apply ICT and ML techniques for improving the accuracy of hydrological models, optimize water management, and predict extreme events.
Funding framework: Horizon 2020 Future and Emerging Technologies (FET) through ERA-NET Cofund funding scheme
Funding agency for Italy: Ministero dell'Istruzione, dell'Università e della Ricerca (MIUR)
Funding Agency for Spain: Agencia Estatal de Investigación. Ministerio de Ciencia e Innovación
Duration: 36 months (starting: May 1st, 2021)
Obj 1: improve data quality
Obj 1: improve data quality
Propose sensor location strategies and smart sampling algorithms to streamline the number of required measurement points and samples
Obj 2: Improve hydrologic models
Obj 2: Improve hydrologic models
Develop low-complexity algorithms to dynamically adjust existing hydrological models' parameters according to the physical system characteristics
Obj 3: Improve prediction reliability and quality
Obj 3: Improve prediction reliability and quality
Apply distributed learning techniques and communication-efficient federated learning and analytics to solve comprehensive hydrological systems that account for athmospheric, surface and sub-surface water processes, and offer more accurate and long-term predictions
Obj4: Improve decision making
Obj4: Improve decision making
Develop interactive tools to display the model's outputs and visualize the (predicted) effects of actions, allowing for a more effective, reliable and informed decision making
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