QuantCube Know-how and French area company, CNES, have introduced the profitable supply of a flood warning and danger mapping prototype, the SCO FloodDAM Digital Twin.
The prototype, which might detect, monitor, assess and predict the monetary and socio-economic dangers associated to flood occasions, harnesses continental water knowledge from earth statement knowledge, in-situ floor sensors and drone knowledge. This data is then processed by utilizing state-of-the-art hydrological and hydrodynamic fashions to supply flood re-analysis and forecasts for various eventualities rising from the digital twin.
The announcement is made on behalf of a consortium of organizations concerned within the venture, together with main accomplice area companies, CNES and NASA. This worldwide collaboration is supported by the House for Local weather Observatory (SCO) initiative—a world effort centered on the event of superior local weather monitoring, mitigation and adaptation instruments. A complete of 9 organizations introduced their experience to the venture, collaborating to ship the next 5 capabilities:
- Flood detection and warning (USGS, VigiCrues, vorteX.io, JPL).
- Close to real-time mapping of flood extent, and monitoring of ongoing flood occasions utilizing Earth Remark imagery (CNES-CLS).
- Re-analysis and short-term forecasting of flood extent surfaces, water stage, velocity and free-surface elevation maps utilizing high-fidelity hydrodynamic fashions over native areas to analyse current circumstances and supply forecasts for the affected area (CERFACS).
- Close to real-time and post-event estimation of economic danger related to floods (QuantCube Know-how).
- On-demand processing of flood speedy mapping with visualizations of flood occasions out there by way of the open nationwide hydrological platform, hydroweb.subsequent (CNES-CS Group).
The venture centered on two websites for evaluation—the Garonne Marmandaise catchment in France and the Ohio catchment in the USA—with the consortium harnessing standardized open-source software program and knowledge, in addition to state-of-the-art modelling and knowledge assimilation strategies to create the SCO FloodDAM-DT.
The prototype offers an estimation of the monetary danger related to flooding occasions in agricultural areas within the chosen take a look at areas. This data can then be utilized by governments and establishments, akin to insurers, actual property funds, monetary establishments, and different entities involved with the bodily danger related to belongings.
“Virtually day-after-day, horrible floods show that the planet’s water cycle is more and more vulnerable to disruption. One of many first SCO-certified initiatives, FloodDam, has developed right into a digital twin, constructing on the processing chain initially developed to create an important instrument for flood danger prediction and impression evaluation. This actual technical and technological achievement is the fruit of a exceptional French-American collaboration, reminding us of the significance of cooperation in adapting to our altering world,” says Frédéric Bretar, head of the SCO program at CNES.
Thanh-Lengthy Huyhn, co-founder and CEO, QuantCube Know-how, says, “Via harnessing a mixture of earth statement knowledge, continental water knowledge, in-situ distant sensing, and hydrological fashions, we’ve got demonstrated that it’s attainable to supply giant scale prediction and monetary danger impression indicators for flood occasions on agriculture. The attainable use instances for this sort of expertise extends throughout industries and past, from buying and selling and asset administration to nationwide governments and companies, and it’s our intention to completely discover these functions.”
Raquel Rodriguez Suquet, CNES, earth statement functions engineer says, “Due to the help of the House for Local weather Observatory alliance, the FloodDAM-DT venture, collectively with the IDEAS (Built-in Digital Earth Evaluation and System) venture supported by way of NASA’s Earth Science Know-how Workplace by the Superior Info Methods Know-how (AIST) program, have confirmed what could be achieved by way of worldwide collaboration and knowledge sharing. The result’s an Earth System Digital Twin (ESDT) that permits researchers, decision-makers and policymakers to visualise, analyse, and consider the impression of utmost environmental occasions on track areas.”
