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A wild river is an unruly being. It continually erodes its banks and
shifts its course. Periodically, it overruns its banks and brings moisture
and nutrients to its flood plain.. In so doing, it creates a riparian
habitat supporting a rich ecosystem of plants and animals quite different
from areas away from the river.
In Switzerland, only about 10% of all rivers remain in a natural or near-natural
state. and there us an urgent need to rehabilitate their ecosystems. Most
funding for river construction is for flood control. But, a federal requirement
to include ecological rehabilitation in flood control projects provides
new opportunities.
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The Challenge |
Researchers at EAWAG (Swiss Institute of Aquatic Science and Technology) needed to predict the effects of river rehabilitation on flood protection and ecosystems at the level of reaches - river segments between bends. The goal is on to widen the stream corridor to let the river take a more natural course. The key decision is how much space to give the river for an optimal trade-off between benefits and costs. They needed a model to compare outcomes using a range of stakeholder preferences to provide comprehensive decision support for managers. Such a tool could improve financial and public support, and help guide selection of the best rehabilitation measures. The researchers hoped that a transparent and integrated model could also help decision makers better understand the complex ecosystems of river landscapes, and encourage a more interdisciplinary approach to benefit both society and the environment. |
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Why Analytica? |
It takes several kinds of scientific knowledge to develop an integrated model, including literature review, experimental and field results, other models, and expert judgments. We wanted to use a probability network as a relatively simple to combine different sources of information: cause-effect relations, several spatial and temporal scales, and uncertainties in inputs, model structure, and outputs. "Analytica is a software to develop probability networks.
It is straightforward to create and implement a model in Analytica. It
is very simple to learn. It provides important statistical features, e.g.
to develop multivariate distributions, variable time steps, and iterative
functions. The free choice of node forms and colors eases the building
and managing the model. Implementing the IRRM as a probability network
lets us easily integrate a variety of submodels"
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| The Solution |
IRRM predicts the hydraulic, morphological, ecological and economic effects of river rehabilitation projects, including river widening. It is hard to predict concrete channel geometry after widening or other reach-scale rehabilitation so one cannot apply sophisticated 2d or 3d hydraulic models. In such cases, probability networks can be very useful, since they let you combine different uncertain sources of knowledge consider multiple spatial and temporal scales.. Considerating uncertainty explicitly improves model transparency and supports the decision process. |
![]() Key modules of the Integrative River Rehabilitation Model (IRRM). |
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| Authors and sponsors |
Dr. Peter Reichert, Head of Department of Systems Analysis, Integrated Assessment and Modeling at EAWAG, and Professor of Environmental Sciences, Swiss Federal Institute of Technology , Switzerland Christian Spörri, EAWAG, Switzerland
The "Rhone-Thur River Rehabilitation Project" was initiated and funded by the Swiss Federal Office for Water and Geology (BWG, now BAFU), the Swiss Federal Institute for Aquatic Science and Technology (EAWAG) and the Swiss Federal Institute for Forest, Snow and Landscape Research (WSL)  
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| Customers |
Although developed for Midland rivers in Switzerland, the IRRM is intended
to be generally applicable by using quantities that are readily available
or easily predictable for a changed channel morphology. |
| For more... |
Further information on river rehabilitation and decision-making (German
language):
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