Articles | Volume 26, issue 9
https://doi.org/10.5194/nhess-26-4549-2026
https://doi.org/10.5194/nhess-26-4549-2026
Research article
 | 
23 Sep 2026
Research article |  | 23 Sep 2026

A fluvial flood risk model for quantifying the benefit of mitigation measures under uncertainty

Mara Ruf, Amelie Hoffmann, and Daniel Straub

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Short summary
We developed a flood risk model that estimates the benefit of mitigation measures under uncertainty. The model is computationally efficient and is embedded in a framework that separates the influence of natural from model-related uncertainties. It allows the comparison of (combined) measures and thus provides a robust basis for decision-making. We applied the flood risk model to the Bavarian Danube, Germany, to assess the effectiveness of a flood detention basin.
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