Danube Floodplain - First Capitalization Event, 27.11.2018.
03-12-2018
The first Capitalization Event of the Danubefloodplain project was held on 27.11.2018. as a virtual event, open to invited press and stakeholders.
The aim of the event was to enhance cooperation between the pole members, thus ensuring knowledge transfer within the pole and to make individual project results as well as joint pole results known to a broader group of stakeholders, experts’ communities and thus encourage the wider take-up of project outcomes inside and outside the DTP Programme Area.
Under the program, Zsuzsanna Kocsis-Kupper from Ministry of Foreign Affairs and Trade presented PA4 activities, plans, projects and capitalization of the Priority Area 4, Water Quality of EUSDR.
At the event the projects Danube Floodplain, SIMONA and JOINTISZA were presented. The Danube Floodplain project was introduced by Anemari Ciurea, National Administration ’Romanian Waters’. Afterwards the selected pilot areas of the Danube Floodplain project were presented, each pilot area owner introduced the area on which the applied method will be used to work out a better flood risk management plan and to improve the best possible interventions for the ecosystems and society.
The project SIMONA (Sediment-quality Information, Monitoring and Assessment System to support transnational cooperation for joint Danube Basin water management) was introduced by Jasminka Alijagić, Geological Survey of Slovenia and the project JOINTISZA (Strengthening cooperation between river basin management planning and flood risk prevention to enhance the status of waters of the Tisza River Basin), was presented by Melinda Váci, Middle Tisza District Water Directorate, Hungary.
The event was a good opportunity to hear about other projects’ methods, results and goals to know what are possible synergies and sharing good practices and informations. These projects face a challenge of data collection and harmonization since a lot of countries are participating with lot of different sampling, modelling, data processing, monitoring methods thus insistent professional work and problem solving is needed.