Jean-Luc de Kok
University of Twente
German Ministry of Science and Education / BMBF
25 August 2001 – 25 August 2005
An integrated system consists of multi-objectives, which involves multi-disciplines to represent several phenomena involved. Example of such a system is a decision support system (DSS) for river basin modelling. A DSS typically consists of the following subjects represented by models of: meteorological/climate model, hydrological model, hydraulic model, and final output models such as flood risk/damage model, ecological model, and navigation model. For each subject there are many models can be used, and they differ in complexity and uncertainty. The immediate question is that: which models are the best ones can be used to construct an integrated system, which should be able to:
Represent the physical phenomena meeting predefined uncertainty criteria such as goodness-of-fit, complexity and so on, subjecting to constraints such as the minimum data requirement, minimum computing time/load and so on. Present distinguishable impacts comprehensively for different measures and scenarios under correct scientific principle.
This research project is aim at developing a scientific approach, the “appropriate modelling approach”, which can provides qualitative principle and quantitative expression to assess model usefulness in an integrated river basin modeling system. Case study is the development of a decision support system for Elbe river in Germany.
Result: How to present flood risk - a case study for the Elbe. HIC 2004 conference.