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Floods are the most frequent natural disasters affecting the Moravian-Silesian region. Therefore a system that could predict flood extents and help in the operative disaster management was requested. The FLOREON + system was created to fulfil these requests. This article describes utilization of HPC (high performance computing) in running multiple hydrometeorological simulations concurrently in the FLOREON + system that should predict upcoming floods and warn against them. These predictions are based on the data inputs from NWFS (numerical weather forecast systems) (e.g. ALADIN) that are then used to run the rainfall-runoff and hydrodynamic models. Preliminary results of these experiments are presented in this article.

The main goal of the research project FLOREON + (FLOod REcognition On the Net) is a development of prototypal open modular system of environmental risks modeling and simulation which is based on modern internet technologies and platform independency. The system is running in the operative way nowadays. Hydrological issues such as floods are complimented by other environmental analyses and models. These models involve water quality, air quality, erosion and ecological models. The final product of the project is going to be the system offering an online communicational man-machine interface and providing various types of products for decision support. The project results should help to simplify the process of crisis management and increase its operability and effectiveness. The main scopes of modeling and simulation are flood risk, transportation risk and water and air pollution risks. Incorporation of geographic information systems (GIS) is a logical step because numerical models work with geospatial data and effective handling of such data is a crucial factor of efficiency of the whole system.

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The main goal of our system is to provide the end user with information about an approaching disaster. The concept is to ensure information access to adequate data for all potential users, including citizens, local mayors, governments, and specialists, within one system. It is obvious that there is a knowledge gap between the lay user and specialist. Therefore, the system must be able to provide this information in a simple format for the less informed user while providing more complete information with computation adjustment and parameterization options to more qualified users. One system feature in high demand is the ability to display reliable and understandable graphical and textual information. Information for various types of users must be adapted to a desired format which is understandable to a particular group of people. For example, a specialist can ask for all available results from different simulation models in text format. This type of information may be useless, however, to the user who only wants to find out whether or not his house will be flooded. Another important feature is the open structure and modular architecture that enables the usage of different modules. Modules can contain different functions, alternative simulations or additional features. Since the architectural structure is open, modules can be combined in any way to achieve any desired function in the system.