The main objective of the FLOREON+ project is to create a platform for integration and operation in the monitoring, modelling and prediction of crisis situations and in providing support for addressing such situations, mainly in the Moravian-Silesian Region. Thanks to its modular and open nature, the system that is being developed as part of this research and development project allows for a simple integration of different thematic areas, regions and data. It is mainly intended to be used at the level of support for crisis management processes, both in operational activities and simulations.

The central thematic area of the entire project is hydrology – the system mainly focuses on the real-time collection and analysis of relevant data to which prediction algorithms are applied. The output then includes information that is used for decision-making support within disaster management processes, namely by providing flow rate predictions for selected watercourses (including assessing the reliability of the predictions and comparing them with actual measurements) and predictions and visualizations of the overflow of watercourses in the landscape.

FROM OUR PORTFOLIO


Washington State Flood


Zaplava

List of partners.
Financed from the budget of the Moravian-Silesian Region.

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Invitation to the course HyperLoom: A Platform for Executing Scientific Pipelines in Distributed Environments (4/6/2018)
When: Monday June 4, 2018, 9.30am – 4.00pm Where: campus VŠB-TUO in Ostrava-Poruba, IT4Innovations building, […]
The MEYS, in cooperation with IT4Innovations, organized
an EuroHPC initiative workshop
In January 2018 the Czech Republic joined the EuroHPC initiative, becoming its 14th member. The […]
IT4Innovations is a partner of Hackathon: Transport 4.0
IT4Innovations National Supercomputing Center is a partner of Hackathon: Transport 4.0, which will be held […]
Press Release: Advanced computational tools for turbomachinery
Advanced computational tools for turbomachinery
IT4Innovations Newsletter Q1/2018
IT4Innovations Newsletter Q1/2018
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