Articles | Volume 22, issue 2
https://doi.org/10.5194/nhess-22-377-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-377-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 Feb 2022
Research article |
| 10 Feb 2022
| 10 Feb 2022
A modeling methodology to study the tributary-junction alluvial fan connectivity during a debris flow event
Alex Garcés
Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile
Gerardo Zegers
Department of Geosciences, University of Calgary, Calgary, Canada
Albert Cabré
Géosciences Environnement Toulouse, Observatoire Midi-Pyrénées, Toulouse, France
Germán Aguilar
Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile
Aldo Tamburrino
Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile
Department of Civil Engineering, Universidad de Chile, Santiago, Chile
Santiago Montserrat
CORRESPONDING AUTHOR
Advanced Mining Technology Center, Universidad de Chile, Santiago, Chile
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Short summary
We propose a workflow to model the response of an alluvial fan located in the Atacama Desert during an extreme storm event. For this alluvial fan, five different deposits were identified and associated with different debris flow surges. Using a commercial software program, our workflow concatenates these surges into one model. This study depicts the significance of the mechanical classification of debris flows to reproduce how an alluvial fan controls the tributary–river junction connectivity.
We propose a workflow to model the response of an alluvial fan located in the Atacama Desert...
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