Visualization and database (WP7)


The aim of this workpackage is to develop visualization and Virtual Reality technology that allows visual analysis and interactive exploration of all data that is collected, modelled and used in the project.

The use of visualization within the MERCW project has two main targets. First, it provides the project participants with a quick and intuitive overview over the data, allowing them to better analyse the available information, to plan efficiently the future field investigations, and finally to perform risk analysis based on the data. Second, it is an important instrument to present the results of the project such as potential risk scenarios, resulting from the analyses and modelling performed in the project, to the public.

The data considered for visualization includes bathymetric maps of the Baltic Sea, 2D vector maps (for example of the dumpsite boundaries), tracks of research cruises and survey lines, positions of discovered ship wrecks, position and analysis results of samples taken during surveys, seismic profiles, vector fields describing the sea currents under certain weather conditions, traces of particles through the water volume over certain time periods obtained by modelling and simulation, 3D volume data describing predicted concentrations of chemical warfare agents obtained through analyses and numerical experiments, and 2D grid data describing food web effects. In order to achieve high-quality and high-performance visualization for these different types of data in an integrated application, we apply and enhance several scientific visualization techniques, especially methods of terrain, volume and indirect flow visualization. Special emphasis is put on fast methods that exploit the high parallel computing power of the Graphics Processing Units (GPU) contained in current PCs.

In addition to visualization, a further task of this workpackage is the management of all data that is collected, modelled and used in the project. This includes implementation of data structures, realization of necessary file converters, set-up of a common project database and collection of data obtained and owned by project partners. The project data management structure is organised so as to follow the development of the project closely and distribute data and results to the project partners.

Visualization Tool

Partner in charge

Rheinische Friedrich-Wilhelms-Universität Bonn (UBO)

  • Reinhard Klein
  • Pavel Borodin
  • Alexander Greß


Creative Commons License
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In Bornholm over
35.000 tons were
dumped in water
depths ranging
between 70 and 120 m.