Multidisciplinary data acquisition as the key for a globally applicable water resource management (MuDak-WRM)
The core aim of MuDaK-WRM is to develop a model for the prediction of medium to long term changes in water qulity in reservoirs which is as simple as possible and generally available. The key aspect is to reduce the complexity of the underlying scientific approaches and the data required for the future model to enable the application of the model with reasonable effort and in a meaningful way in developing countries.
This interdisciplinary research group on the German side is a consortium of four research and five industry partners. All the necessary competences for successful processing of the project are represented in this consortium. Each work package is handled by one or two German partners. On the Brazilian side, three research and four industry or public partners are involved in the project, so that the areas of competence are mirrored.
Why should a research project be made?
- Not all of the relevant processes are well known
- The powerful models are often very complex and data demanding
- Suitable data to describe both the emission and immission are scarce
- The existing models can often not easily adapted to specific questions and data availability
The four main goals:
- Identification of all relevant parameters influencing the long-term behaviour of the reservoir
- Development of a minimum monitoring concept
- Reduction of complexity and data demand of given model approaches
- Development of a globally applicable tool for surface water resources
- Reduction of the complexity of model approaches and the associated data requirements
- Determination of central parameters for the description of catchment area and water characteristics from world-wide available data records
- Development of methods for a highly efficient on-site minimum monitoring adapted to the task
- Development of adapted strategies for the implementation of the models and measures together with the future users
- Development of appropriate multiplication strategies