Development of an Operational Expert System for Flood Risk Management Considering Prediction Uncertainty
The aim of this project is to develop an efficient management tool for floods in meso-scale watersheds. The flood warning system should thereby be faster and more reliable. The basis of the investigation is the analysis of the whole "flood chain": "forecast of rainfall events - rainfall-runoff-model - hydraulic model".
Quantification and minimisation of uncertainties
In contrast to conventional methods, the individual uncertainties of the different models and parameters are being quantified. The consideration of uncertainties time-dependent, as a short forecasting horizon increases the reliability of the forecast. As a result, an adequate warning system can be established and the number of false alarms can be minimized.
Effective and operationally applicable system
Based on the results of the investigation a fuzzy-based expert system will be developed, which is operationally applicable and easy to use, so that an early warning of the population will be possible. Flood alert systems will be activated for each warning level, which is defined by specified threshold values. Furthermore it will be possible to assess the flood risk by analysing the likelihood of danger. Finally, damages will be able to be determined based on (dynamic) flood maps.
Partners and Co-Workers
- Prof. Dr. Markus Disse (project management), Universität der Bundeswehr München, Institute for Hydrosciences
- Dr. Tibor Molnar, Engineering Company for Environmental Management and Hydrology, Unterhaching
- Prof. Dr. Gerd Schmitz, TU Dresden, Institute for Hydrology und Meteorology
- Prof. Dr. Markus Casper, Universität Trier, Physical Geography
- Prof. Dr. András Bárdossy and Prof. Dr. Silke Wieprecht, Universität Stuttgart, Institute for Hydraulic Engineering
- Dr. Hartmut Sacher, Dr. Oliver Buchholz, Hydrotec Engineering Company for Water and Environment, Aachen