Modeling the effects of sediment concentration on the propagation of flash floods in an Andean watershed

Contreras, María Teresa; Escauriaza, Cristián

doi:https://doi.org/10.5194/nhess-20-221-2020

Articles | Volume 20, issue 1

Nat. Hazards Earth Syst. Sci., 20, 221–241, 2020

https://doi.org/10.5194/nhess-20-221-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue: Advances in computational modelling of natural hazards and...

Nat. Hazards Earth Syst. Sci., 20, 221–241, 2020

https://doi.org/10.5194/nhess-20-221-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 1

Research article 20 Jan 2020

Research article | 20 Jan 2020

Modeling the effects of sediment concentration on the propagation of flash floods in an Andean watershed

María Teresa Contreras and Cristián Escauriaza

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Final revised paper (published on 20 Jan 2020)
Preprint (discussion started on 05 Jun 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Manuscript review', Anonymous Referee #1, 16 Jul 2019
- RC2: 'flash floods', Anonymous Referee #2, 19 Sep 2019
  - AC2: 'Response to Referee 2', Cristian Escauriaza, 15 Nov 2019
- AC1: 'Response to Referee 1', Cristian Escauriaza, 15 Nov 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

ED: Publish subject to technical corrections (15 Nov 2019) by Albert J. Kettner

AR by Cristian Escauriaza on behalf of the Authors (18 Nov 2019) Author's response Manuscript

Short summary

In this investigation we study the effects of high sediment concentrations on the dynamics of flash floods in mountain regions, with an application to a river in the Andes that has produced catastrophic events in the city of Santiago, Chile. We develop an advanced computational model to understand the effects of floods with high sediment loads on steep channels. These new insights can be used to design early warning systems and contribute to urban planning in cities near mountain rivers.