Geospatial modelling of large-wood supply to  rivers: a state-of-the-art model comparison  in Swiss mountain river catchments

Steeb, Nicolas; Ruiz-Villanueva, Virginia; Badoux, Alexandre; Rickli, Christian; Mini, Andrea; Stoffel, Markus; Rickenmann, Dieter

doi:https://doi.org/10.5194/esurf-11-487-2023

Articles | Volume 11, issue 3

https://doi.org/10.5194/esurf-11-487-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/esurf-11-487-2023

© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 3

Research article

|

20 Jun 2023

Research article |

| 20 Jun 2023

Geospatial modelling of large-wood supply to rivers: a state-of-the-art model comparison in Swiss mountain river catchments

Nicolas Steeb, Virginia Ruiz-Villanueva, Alexandre Badoux, Christian Rickli, Andrea Mini, Markus Stoffel, and Dieter Rickenmann

Supplement

https://doi.org/10.5194/esurf-11-487-2023-supplement

Data sets

Large wood event database N. Steeb, D. Rickenmann, C. Rickli, and A. Badoux https://www.envidat.ch/dataset/large-wood-event-database

Model code and software

GIS-Fuzzy logic large wood recruitment toolbox V. Ruiz-Villanueva and N. Steeb https://doi.org/10.5281/zenodo.8037006

GIS-Empirical large wood recruitment toolbox (EGA) N. Steeb, B. Kuratli, and D. Rickenmann https://doi.org/10.5281/zenodo.8037075

Short summary

Various models have been used in science and practice to estimate how much large wood (LW) can be supplied to rivers. This contribution reviews the existing models proposed in the last 35 years and compares two of the most recent spatially explicit models by applying them to 40 catchments in Switzerland. Differences in modelling results are discussed, and results are compared to available observations coming from a unique database.