Project description
An innovative river forecast service towards flood risk preparedness
Backed by the EIC Accelerator Programme, project WHYLD aims to address the global rise in devastating climate-change driven flood events. To that end, it will demonstrate the benefits of a large-scale real-time hydrometeorological database towards assisting governments in effective flood risk management. WHYLD will involve the development and deployment of an innovative and intelligent river forecasting service. This will be made possible thanks to proprietary algorithms and hardware inspired by satellite technology: France-based company vorteX-io’s micro-stations that can measure data such as water surface height and velocity, with ongoing research and development for river flow and rainfall rate parameters. The project's initial phase involves large-scale deployment of this non-binding turnkey service in two pilot countries, France and Croatia, eventually covering all of Europe and flood-risk areas globally.
Objective
vorteX.io offers an innovative and intelligent service for monitoring hydrological surfaces, using in-situ remote sensing instruments, based on compact light-weight altimeter inspired from satellite technology: the micro-stations©. It provides in real time, with a high frequency and accuracy, hydro-meteorological parameters (water surface height, water surface velocity, images & videos) of the observed watercourses. The combination of these in-situ data with satellite measurements is thus optimal for downstream services related to water resources management and assessment of flood/drought risks.
Thanks to the development of the innovative micro-station© and the onboard processing using artificial intelligence algorithms, the WHYLD project will provide an anytime/anywhere real time hydro-meteorological database to prevent communities from flood risks and secure goods anywhere at any time. The project thus aims to cover the whole Europe through a non-binding turnkey service.
Fields of science
- natural sciencescomputer and information sciencesdatabases
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringsatellite technology
- natural sciencesearth and related environmental scienceshydrologyhydrometeorology
- engineering and technologyenvironmental engineeringremote sensing
- engineering and technologyenvironmental engineeringnatural resources managementwater management
Keywords
- Very large data bases: archiving
- handling and analysis
- Machine learning
- statistical data processing and applications using signal processing
- Artificial Intelligence
- intelligent systems
- multi-agent systems
- Climatology & Climate Change
- Remote sensing
- Service innovation
- Business model innovation
- Space data exploitation
- Open innovation
- Engineering and technology
- Corporate Social responsibility
- Micro (system) engineering
- Earth Observation
- Services and applications
- Internet Services & Applicati
Programme(s)
- HORIZON.3.1 - The European Innovation Council (EIC) Main Programme
Funding Scheme
HORIZON-EIC-ACC-BF - HORIZON EIC Accelerator Blended FinanceCoordinator
31400 Toulouse
France
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.