European Regional Development Fund
Floodresc project closing conference - 2019/10/28 10:00
- Date: -
- Location: University of Miskolc, 3515 Miskolc-Egyetemváros, A/1 building, Lecture hall No. VII.
- Project acronym: FLOODRESC
- Project registration number: SKHU/1601/4.1/187
- Website: http://web.uni-miskolc.hu/~floodresc/index.html
- Event organized by: University of Miskolc
- Contact person: Vágó János
- Phone number: +36/46-565-111 -2314
- E-mail address: ecovago@uni-miskolc.hu
- Language of event: English
- Interpretation: no
- Registration is needed: yes
The closing conference of the project "Logistic support system for flood crisis management in the Hornád / Hornád catchment - Floodresc" will be held at the University of Miskolc, on 28.10. 2019.
Content
The project is a continuation of the FLOODLOG project of the University of Miskolc, which has been selected by the European Union as one of the most successful, exemplary projects in the field of Disaster Management - Environmental Issues, and has been identified as a best practice among international applications. That project focused on the Bódva watershed.
The FLOODRESC project continued this work by the University of Miskolc and its four partners - the Technical University of Košice, the University of Security Management in Košice, the Holocén Nature Conservation Association and the Borsod-Abaúj-Zemplén County Directorate for Disaster Management. This project focused on the entire catchment area of the Hernád River, with the aim of increasing the effectiveness of flood protection and supporting the work of disaster management. This includes modeling the spreading of floods, examining their impacts on the natural and built environment, optimizing and planning flood logistical tasks, and addressing the public health and epidemiological consequences of floods.
In order to achieve the objectives, an integrated GIS database has been developed which contains the necessary spatial data, key objects, infrastructure elements and tools needed to forecast the location and size of flooded area. The flood model based on the database is able to predict the impact of a potential dam break and the spatial extent of the endangered areas. Based on this data, the logistics related activities can also be planned, for which a separate logistics application has been developed.
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