Sensitivity and identifiability of rheological  parameters in debris flow modeling

Zegers, Gerardo; Mendoza, Pablo A.; Garces, Alex; Montserrat, Santiago

doi:https://doi.org/10.5194/nhess-20-1919-2020

Articles | Volume 20, issue 7

Nat. Hazards Earth Syst. Sci., 20, 1919–1930, 2020

https://doi.org/10.5194/nhess-20-1919-2020

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

Nat. Hazards Earth Syst. Sci., 20, 1919–1930, 2020

https://doi.org/10.5194/nhess-20-1919-2020

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

Articles | Volume 20, issue 7

Research article 03 Jul 2020

Research article | 03 Jul 2020

Sensitivity and identifiability of rheological parameters in debris flow modeling

Gerardo Zegers et al.

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Final revised paper (published on 03 Jul 2020)
Preprint (discussion started on 13 Mar 2020)

Interactive discussion

Status: closed

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

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RC1: 'Referee comment', Martin Mergili, 28 Mar 2020
- AC1: 'Authors’ reply to Short Comment by Reviewer 1', Gerardo Zegers, 18 Apr 2020
RC2: 'This paper gives an inkling of the kinds of insights all models will someday provide about data and simulated processes', Mary Hill, 05 May 2020
- AC2: 'Authors’ reply to Short Comment by Reviewer 2', Gerardo Zegers, 20 May 2020

Peer-review completion

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

ED: Publish subject to minor revisions (review by editor) (22 May 2020) by Thomas Glade

AR by Gerardo Zegers on behalf of the Authors (28 May 2020) Author's response Manuscript

ED: Publish as is (03 Jun 2020) by Thomas Glade

Short summary

We perform a sensitivity analysis on the parameters of a numerical debris flow model and examine the effects of using post-event measurements on two creeks in Chile. Our results demonstrate the utility of sensitivity analysis in debris flow modeling and the benefits of post-event observations on parameter identifiability. This study provides guidance on the choice of uncertain parameters, contributing to more reliable simulations for debris flow risk assessments and land use planning.