A modeling methodology to study the tributary-junction  alluvial fan connectivity during a debris flow event

Garcés, Alex; Zegers, Gerardo; Cabré, Albert; Aguilar, Germán; Tamburrino, Aldo; Montserrat, Santiago

doi:https://doi.org/10.5194/nhess-22-377-2022

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.

https://doi.org/10.5194/nhess-22-377-2022

© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 22, issue 2

Research article

|

10 Feb 2022

Research article |

| 10 Feb 2022

A modeling methodology to study the tributary-junction alluvial fan connectivity during a debris flow event

Alex Garcés, Gerardo Zegers, Albert Cabré, Germán Aguilar, Aldo Tamburrino, and Santiago Montserrat

Data sets

A modeling methodology to study the tributary-junction alluvial fan connectivity during a debris flow event - DATA A. Garcés https://doi.org/10.6084/m9.figshare.c.5739287.v1

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.