Articles | Volume 17, issue 6
https://doi.org/10.5194/nhess-17-971-2017
https://doi.org/10.5194/nhess-17-971-2017
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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Cited articles

Alvioli, M. and Baum, R.: Parallelization of the TRIGRS model for rainfall-induced landslides using the message passing interface, Environ. Modell. Softw., 81, 122–135, https://doi.org/10.1016/j.envsoft.2016.04.002, 2016.
Amann, G., Schennach, R., Kessler, J., Maier, B., and Terzer, S.: Handbuch der Vorarlberger Waldgesellschaften, vol. 2, Amt der Vorarlberger Landesregierung, Abteilung Forstwesen, 2014.
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Bathurst, J. C., Moretti, G., El-Hames, A., Moaven-Hashemi, A., and Burton, A.: Scenario modelling of basin-scale, shallow landslide sediment yield, Valsassina, Italian Southern Alps, Nat. Hazards Earth Syst. Sci., 5, 189–202, https://doi.org/10.5194/nhess-5-189-2005, 2005.
Baum, R. L., Savage, W. Z., and Godt, J. W.: TRIGRS- A Fortran Program for Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Analysis, Version 2.0, Tech. rep., US Geological Survey, 2008.
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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.
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