Articles | Volume 12, issue 3
https://doi.org/10.5194/esurf-12-691-2024
https://doi.org/10.5194/esurf-12-691-2024
Research article
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08 May 2024
Research article | Highlight paper |  | 08 May 2024

Geomorphic risk maps for river migration using probabilistic modeling – a framework

Brayden Noh, Omar Wani, Kieran B. J. Dunne, and Michael P. Lamb

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River meandering is a long standing source of interest for scientists interested in how the Earths surface is shaped. Here, Noh et al., use a novel probablistic approach to create geomorphic risk maps where areas that have the potential for meandering can be assessed in an arguably more rigorous way than before.
Short summary
In this paper, we propose a framework for generating risk maps that provide the probabilities of erosion due to river migration. This framework uses concepts from probability theory to learn the river migration model's parameter values from satellite data while taking into account parameter uncertainty. Our analysis shows that such geomorphic risk estimation is more reliable than models that do not explicitly consider various sources of variability and uncertainty.