Sensitivity analysis and calibration of a dynamic physically based slope stability model

Zieher, Thomas; Rutzinger, Martin; Schneider-Muntau, Barbara; Perzl, Frank; Leidinger, David; Formayer, Herbert; Geitner, Clemens

doi:https://doi.org/10.5194/nhess-17-971-2017

Articles | Volume 17, issue 6

https://doi.org/10.5194/nhess-17-971-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/nhess-17-971-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 17, issue 6

Research article

|

30 Jun 2017

Research article |

| 30 Jun 2017

Sensitivity analysis and calibration of a dynamic physically based slope stability model

Thomas Zieher, Martin Rutzinger, Barbara Schneider-Muntau, Frank Perzl, David Leidinger, Herbert Formayer, and Clemens Geitner

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Final revised paper (published on 30 Jun 2017)
Preprint (discussion started on 16 Feb 2017)

Interactive discussion

Status: closed

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

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RC1: 'Reviewer comment', Anonymous Referee #1, 23 Feb 2017
- AC1: 'Response to comments by reviewer 1', Thomas Zieher, 08 May 2017
RC2: 'Peer Review of "Sensitivity analysis and calibration of a dynamic physically-based slope stability model"', Anonymous Referee #2, 22 Mar 2017
- AC2: 'Response to comments by reviewer 2', Thomas Zieher, 08 May 2017

Peer-review completion

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

ED: Publish subject to minor revisions (further review by Editor) (20 May 2017) by Thomas Glade

AR by Thomas Zieher on behalf of the Authors (29 May 2017) Author's response Manuscript

ED: Publish as is (31 May 2017) by Thomas Glade

AR by Thomas Zieher on behalf of the Authors (31 May 2017)

Short summary

At catchment scale, it is challenging to provide the required input parameters for physically based slope stability models. In the present study, the parameterization of such a model is optimized against observed shallow landslides during two triggering rainfall events. With the resulting set of parameters the model reproduces the location and the triggering timing of most observed landslides. Based on that, potential effects of increasing precipitation intensity on slope stability are assessed.