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.
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.
the Creative Commons Attribution 3.0 License.
Research article
| 
30 Jun 2017
Research article |
| 30 Jun 2017
Sensitivity analysis and calibration of a dynamic physically based slope stability model
Thomas Zieher
CORRESPONDING AUTHOR
Institute of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Technikerstraße 21a, 6020 Innsbruck, Austria
Martin Rutzinger
Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Technikerstraße 21a, 6020 Innsbruck, Austria
Barbara Schneider-Muntau
Unit of Geotechnical and Tunnel Engineering, Institute of Infrastructure, University of Innsbruck, Technikerstraße 13, 6020 Innsbruck, Austria
Frank Perzl
Austrian Research and Training Centre for Forests, Natural Hazards and Landscape, Rennweg 1, 6020 Innsbruck, Austria
David Leidinger
Institute of Meteorology, University of Natural Resources and Life Sciences Vienna, Peter Jordan Straße 82, 1190 Vienna, Austria
Herbert Formayer
Institute of Meteorology, University of Natural Resources and Life Sciences Vienna, Peter Jordan Straße 82, 1190 Vienna, Austria
Clemens Geitner
Institute of Geography, University of Innsbruck, Innrain 52f, 6020 Innsbruck, Austria
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Cited
23 citations as recorded by crossref.
- Viewing Earth’s surface as a soft-matter landscape D. Jerolmack & K. Daniels 10.1038/s42254-019-0111-x
- Assessment of a Dynamic Physically Based Slope Stability Model to Evaluate Timing and Distribution of Rainfall-Induced Shallow Landslides J. Thomas et al. 10.3390/ijgi12030105
- A simplified semi-quantitative procedure based on the SLIP model for landslide risk assessment: the case study of Gioiosa Marea (Sicily, Italy) M. Gatto et al. 10.1007/s10346-023-02040-8
- Exploring the effects of climate change on the water balance of a continuously moving deep-seated landslide T. Zieher et al. 10.1007/s11069-022-05558-7
- Unsaturated soil slope characterization with Karhunen–Loève and polynomial chaos via Bayesian approach H. Yang et al. 10.1007/s00366-018-0610-x
- Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
- A hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility mapping X. Wei et al. 10.1007/s11069-021-04844-0
- Probabilistic model calibration of spatial variability for a physically-based landslide susceptibility model J. Luo et al. 10.1080/17499518.2021.1988986
- Sensitivity Analysis of a Physically Based Model to Assess Rainfall-Triggered Shallow Landslides E. Montoya-Araque & S. Montoya-Noguera 10.1007/s10706-023-02427-3
- Assessing global parameters of slope stability model using Earth data observations for forecasting rainfall – induced shallow landslides J. Thomas et al. 10.1016/j.jappgeo.2023.104994
- A comparative study between infinite slope model and Bishop’s method for the shallow slope stability evaluation J. Zhang & J. Li 10.1080/19648189.2019.1584768
- X-SLIP: A SLIP-based multi-approach algorithm to predict the spatial–temporal triggering of rainfall-induced shallow landslides over large areas M. Placido Antonio Gatto & L. Montrasio 10.1016/j.compgeo.2022.105175
- Inclusion of Nature-Based Solution in the Evaluation of Slope Stability in Large Areas L. Zedek et al. 10.3390/land13030372
- Comparison of different hydrological and stability assumptions for physically-based modeling of shallow landslides M. Durmaz et al. 10.1016/j.enggeo.2023.107237
- Spatial transferability of the physically based model TRIGRS using parameter ensembles L. de Vugt et al. 10.1002/esp.5770
- Novel Bayesian framework for calibration of spatially distributed physical-based landslide prediction models. I. Depina et al. 10.1016/j.compgeo.2020.103660
- Improving pixel-based regional landslide susceptibility mapping X. Wei et al. 10.1016/j.gsf.2024.101782
- Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales X. Wei et al. 10.1007/s11440-023-01841-4
- Engineering-Geological Analysis of a Subaerial Landslide in Taan Fiord, Alaska X. Dai et al. 10.3390/rs13214258
- Bayesian analysis of the impact of rainfall data product on simulated slope failure for North Carolina locations S. Yatheendradas et al. 10.1007/s10596-018-9804-y
- Quantifying the three-dimensional effects of anisotropic soil horizons on hillslope hydrology and stability G. Formetta & G. Capparelli 10.1016/j.jhydrol.2018.12.064
- Probabilistic calibration of a coupled hydro-mechanical slope stability model with integration of multiple observations L. Zhang et al. 10.1080/17499518.2018.1440317
- Reliability and Sensitivity Analysis of Rainfall-Induced Shallow Landslides Using Trigrs Model. Case Study: San Antonio De Prado L. Osorio-Ríos et al. 10.2139/ssrn.4076168
23 citations as recorded by crossref.
- Viewing Earth’s surface as a soft-matter landscape D. Jerolmack & K. Daniels 10.1038/s42254-019-0111-x
- Assessment of a Dynamic Physically Based Slope Stability Model to Evaluate Timing and Distribution of Rainfall-Induced Shallow Landslides J. Thomas et al. 10.3390/ijgi12030105
- A simplified semi-quantitative procedure based on the SLIP model for landslide risk assessment: the case study of Gioiosa Marea (Sicily, Italy) M. Gatto et al. 10.1007/s10346-023-02040-8
- Exploring the effects of climate change on the water balance of a continuously moving deep-seated landslide T. Zieher et al. 10.1007/s11069-022-05558-7
- Unsaturated soil slope characterization with Karhunen–Loève and polynomial chaos via Bayesian approach H. Yang et al. 10.1007/s00366-018-0610-x
- Probabilistic landslide ensemble prediction systems: lessons to be learned from hydrology E. Canli et al. 10.5194/nhess-18-2183-2018
- A hybrid framework integrating physical model and convolutional neural network for regional landslide susceptibility mapping X. Wei et al. 10.1007/s11069-021-04844-0
- Probabilistic model calibration of spatial variability for a physically-based landslide susceptibility model J. Luo et al. 10.1080/17499518.2021.1988986
- Sensitivity Analysis of a Physically Based Model to Assess Rainfall-Triggered Shallow Landslides E. Montoya-Araque & S. Montoya-Noguera 10.1007/s10706-023-02427-3
- Assessing global parameters of slope stability model using Earth data observations for forecasting rainfall – induced shallow landslides J. Thomas et al. 10.1016/j.jappgeo.2023.104994
- A comparative study between infinite slope model and Bishop’s method for the shallow slope stability evaluation J. Zhang & J. Li 10.1080/19648189.2019.1584768
- X-SLIP: A SLIP-based multi-approach algorithm to predict the spatial–temporal triggering of rainfall-induced shallow landslides over large areas M. Placido Antonio Gatto & L. Montrasio 10.1016/j.compgeo.2022.105175
- Inclusion of Nature-Based Solution in the Evaluation of Slope Stability in Large Areas L. Zedek et al. 10.3390/land13030372
- Comparison of different hydrological and stability assumptions for physically-based modeling of shallow landslides M. Durmaz et al. 10.1016/j.enggeo.2023.107237
- Spatial transferability of the physically based model TRIGRS using parameter ensembles L. de Vugt et al. 10.1002/esp.5770
- Novel Bayesian framework for calibration of spatially distributed physical-based landslide prediction models. I. Depina et al. 10.1016/j.compgeo.2020.103660
- Improving pixel-based regional landslide susceptibility mapping X. Wei et al. 10.1016/j.gsf.2024.101782
- Comparison of hybrid data-driven and physical models for landslide susceptibility mapping at regional scales X. Wei et al. 10.1007/s11440-023-01841-4
- Engineering-Geological Analysis of a Subaerial Landslide in Taan Fiord, Alaska X. Dai et al. 10.3390/rs13214258
- Bayesian analysis of the impact of rainfall data product on simulated slope failure for North Carolina locations S. Yatheendradas et al. 10.1007/s10596-018-9804-y
- Quantifying the three-dimensional effects of anisotropic soil horizons on hillslope hydrology and stability G. Formetta & G. Capparelli 10.1016/j.jhydrol.2018.12.064
- Probabilistic calibration of a coupled hydro-mechanical slope stability model with integration of multiple observations L. Zhang et al. 10.1080/17499518.2018.1440317
- Reliability and Sensitivity Analysis of Rainfall-Induced Shallow Landslides Using Trigrs Model. Case Study: San Antonio De Prado L. Osorio-Ríos et al. 10.2139/ssrn.4076168
Latest update: 15 Apr 2024
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.
At catchment scale, it is challenging to provide the required input parameters for physically...
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