TRIGRS; a Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis

Baum, Rex L.; Savage, William Z.; Godt, Jonathan W.

doi:10.3133/ofr02424

Cited by 314 publications

(356 citation statements)

References 7 publications

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“…Specifically, the infiltration process is simulated considering the 1D analytic solution of Richards' equation as well as described by Iverson (2000). In the most recent version of the program (Baum et al 2008), TRIGRS was expanded to address infiltration also into unsaturated soils, then assuming a two-layer system consisting of a saturated zone (with the possible presence of a capillary fringe) and an unsaturated zone that extends to the ground surface ( Figure 6). For the linearization of Richards' equation within the unsaturated zone, TRIGRS considers the Gardner (1958) hydraulic model, which is based on the definition of four main hydrodynamic parameters: the saturated (u s ) and residual (u r ) water content, the saturated hydraulic conductivity (K s ) and a specific parameter linked to the pore size distribution (a G ).…”

Section: Theoretical Basis Of Trigrs Modelmentioning

confidence: 99%

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Shallow landslide initiation on terraced slopes: inferences from a physically based approach

Schilirò

Cevasco

Esposito

et al. 2018

Geomatics, Natural Hazards and Risk

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In the last years, great efforts have been made to improve the assessment of the temporal and spatial occurrence of rainfall-induced shallow landslides. Therefore, in this paper we used a physically based stability model (TRIGRS) in order to reproduce the landslide event occurred in the Monterosso catchment (Cinque Terre, Eastern Liguria, Italy) on 25 October 2011. The input parameters of the numerical model have been evaluated taking into account the land-use setting and paying specific attention to the evaluation of the spatial variation of soil thickness on terraced areas. The resulting safety factor maps have been compared with the inventory map of the landslides triggered during the event. The simulation results, which have been obtained also considering four different spatial resolutions of the digital terrain model, emphasize the influence of land use in shallow landslide occurrence and indicate the importance of a realistic spatial variation of soil thickness to enhance the reliability of the model. Finally, different triggering scenarios have been defined using hourly rainfall values statistically derived from historical data. The results indicate the proneness of the area to shallow landsliding, given that rainfall events with a relatively low return period (e.g. 25 years) can trigger numerous slope failures.

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Section: Theoretical Basis Of Trigrs Modelmentioning

confidence: 99%

“…For these reasons, a well-established model, as TRIGRS (Baum et al 2008), was used. This model predicts the shallow landslide occurrence by means of the transient, one-dimensional (1D) analytic solution for pore-pressure response to rainfall infiltration with an infinite slope stability calculation (Savage et al 2003).…”

Section: Introductionmentioning

confidence: 99%

Shallow landslide initiation on terraced slopes: inferences from a physically based approach

Schilirò

Cevasco

Esposito

et al. 2018

Geomatics, Natural Hazards and Risk

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“…In the present study, the parameters of a revised form of the spatially distributed, dynamic, physically based slope stability model TRIGRS 2.0 (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Analysis; Baum et al, 2008Baum et al, , 2010 are systematically tested and calibrated. The four main steps of the analysis are shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

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

Zieher

Rutzinger

Schneider‐Muntau

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. Physically based modelling of slope stability on a catchment scale is still a challenging task. When applying a physically based model on such a scale (1 : 10 000 to 1 : 50 000), parameters with a high impact on the model result should be calibrated to account for (i) the spatial variability of parameter values, (ii) shortcomings of the selected model, (iii) uncertainties of laboratory tests and field measurements or (iv) parameters that cannot be derived experimentally or measured in the field (e.g. calibration constants). While systematic parameter calibration is a common task in hydrological modelling, this is rarely done using physically based slope stability models. In the present study a dynamic, physically based, coupled hydrological-geomechanical slope stability model is calibrated based on a limited number of laboratory tests and a detailed multitemporal shallow landslide inventory covering two landslide-triggering rainfall events in the Laternser valley, Vorarlberg (Austria). Sensitive parameters are identified based on a local one-at-a-time sensitivity analysis. These parameters (hydraulic conductivity, specific storage, angle of internal friction for effective stress, cohesion for effective stress) are systematically sampled and calibrated for a landslide-triggering rainfall event in August 2005. The identified model ensemble, including 25 "behavioural model runs" with the highest portion of correctly predicted landslides and non-landslides, is then validated with another landslide-triggering rainfall event in May 1999. The identified model ensemble correctly predicts the location and the supposed triggering timing of 73.0 % of the observed landslides triggered in August 2005 and 91.5 % of the observed landslides triggered in May 1999. Results of the model ensemble driven with raised precipitation input reveal a slight increase in areas potentially affected by slope failure. At the same time, the peak run-off increases more markedly, suggesting that precipitation intensities during the investigated landslide-triggering rainfall events were already close to or above the soil's infiltration capacity.

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“…The water table is often modeled into a steady state or physically based models are adopted (e.g. Montgomery & Dietrich, 1994;Wu & Sidle, 1995;Iverson, 2000;Baum et al, 2002;Qiu et al, 2007;Lu & Godt, 2008;Baum et al, 2010); because the computational effort is considerable, those models are poorly suited to analyze wide areas. Moreover, the two-dimensional landslide simulation approach by the limit equilibrium method is often unsuited to full basin analyses and, furthermore, to kinematic phenomena with pronounced three-dimensional character.…”

Section: Introductionmentioning

confidence: 99%

“…The soil is usually assumed isotropic and homogeneous or, at least, horizontal heterogeneity is accounted for (e.g. Iverson, 2000;Baum et al, 2002;Montrasio & Valentino, 2008). The water table is often modeled into a steady state or physically based models are adopted (e.g.…”

Section: Introductionmentioning

confidence: 99%

Oscillation of water table due to rainfall: an experience of modeling in GIS

Federici

Bovolenta

Balestrero

et al. 2016

Preprint

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A physically-based Integrated Hydrological-Geotechnical model (IHG) able to assess the rainfallinduced landslide susceptibility was developed, refined and applied in GIS environment along the past years (Passalacqua, 2002;Federici et al., 2014;Bovolenta et al., 2016), showing its reliability. It is a useful instrument to landslide susceptibility evaluations and land-use planning over wide areas. The present paper focuses on the modeling of water table oscillation due to rainfall, comparing different hydrological models.

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TRIGRS; a Fortran program for transient rainfall infiltration and grid-based regional slope-stability analysis

Cited by 314 publications

References 7 publications

Shallow landslide initiation on terraced slopes: inferences from a physically based approach

Shallow landslide initiation on terraced slopes: inferences from a physically based approach

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

Oscillation of water table due to rainfall: an experience of modeling in GIS

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