The effect of depth dependency on stochastic infinite slope stability analysis

2018 ◽  
pp. 1-13
Author(s):  
Pengtao Zhu ◽  
Karl Josef Witt
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Slope Stability Analysis ◽  
Infinite Slope ◽  
Depth Dependency

scholarly journals Landslide and debris flow susceptibility zonation using TRIGRS for the 2011 Seoul landslide event

2013 ◽  
Vol 1 (3) ◽  
pp. 2547-2587 ◽  
Author(s):  
D. W. Park ◽  
N. V. Nikhil ◽  
S. R. Lee
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Debris Flow ◽  
Slope Stability Analysis ◽  
Flow Paths ◽  
Infinite Slope ◽  
Erosion Rates ◽  
Landslide Event ◽  
Physically Based ◽  
Pore Pressure Response

Abstract. This paper presents the results from application of a regional, physically-based stability model: Transient Rainfall Infiltration and Grid-based Regional Slope-stability analysis (TRIGRS) for a catchment on Woomyeon Mountain, Seoul, Korea. This model couples an infinite-slope stability analysis with a one-dimensional analytical solution to predict the transient pore pressure response to the infiltration of rainfall. TRIGRS also adopts the Geographic Information Systems (GIS) framework for determining the whole behaviour of a slope. In this paper, we suggest an index for evaluating the results produced by the model. Particular attention is devoted to the prediction of routes of debris flow, using a runoff module. In this context, the paper compares observed landslide and debris flow events with those predicted by the TRIGRS model. The TRIGRS model, originally developed to predict shallow landslides, has been extended in this study for application to debris flows. The results predicted by the TRIGRS model are presented as safety factor (FS) maps corresponding to transient rainfall events, and in terms of debris flow paths using methods proposed by several researchers in hydrology. In order to quantify the accuracy of the model, we proposed an index called LRclass (landslide ratio for each predicted FS class). The LRclass index is mainly applied in regions where the landslide scar area is not well defined (or is unknown), in order to avoid over-estimation of the model results. The use of the TRIGRS routing module was proposed to predict the paths of debris flow, especially in areas where the rheological properties and erosion rates of the materials are difficult to obtain. Although an improvement in accuracy is needed, this module is very useful for preliminary spatiotemporal assessment over wide areas. In summary, the TRIGRS model is a powerful tool of use to decision makers for susceptibility mapping, particularly when linked with various advanced applications using GIS spatial functions.

Comparison of the performance of spatial landslide prediction with TRIGRS1D and SCOOPS3D models and parameter optimization: application to the Oltrepò Pavese

2020 ◽  
Author(s):  
Nunziarita Palazzolo ◽  
David J. Peres ◽  
Massimiliano Bordoni ◽  
Claudia Meisina ◽  
Enrico Creaco ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Three Dimensional ◽  
Slope Stability Analysis ◽  
Hazard Mapping ◽  
Catchment Scale ◽  
Infinite Slope ◽  
Infinite Slope Stability Model ◽  
Stability Model ◽  
Positive Rate

<p>Physically based models based on the combination of hydrological and slope stability models are important tools in spatial and temporal prediction of landslides, since they can be used for hazard mapping as an aid for land planning. In many applications, hydrological models are combined with very simple infinite slope stability analysis, given that multi-dimensional analysis is more computationally demanding. Only a few studies have attempted to apply such algorithms to the catchment scale. Thus, there is a need for more studies on this issue, also to understand the real advantages of applying multi-dimensional slope stability analysis in comparison with the one-dimensional. </p><p>This study aims to compare the performance of two different forecasting models, namely the infinite slope and the three-dimensional stability analysis by SCOOPS3D (Software to analyze three-dimensional slope stability throughout a digital landscape), a very efficient model proposed by USGS to be applied to the catchment scale, which has seldom been applied so far in the literature. In particular, TRIGRS (Transient Rainfall Infiltration and Grid-Based Regional Slope-stability Model) is used for hydrological analysis.  Then the resulting pressure head field is used first as input to the infinite slope stability model embedded into TRIGRS program itself and then as input to SCOOPS3D. To calibrate the terrain stability-related parameters of either piece of software, a multi-objective optimization is proposed in this work to maximize the model predictability performance, in an attempt to optimize ROC performance statistics, i.e. to maximize the true positive rate while simultaneously minimizing the false positive rate.</p><p>The approach was applied to a real case study, a catchment in the Oltrepò Pavese (northern Italy), in which the areas of triggered landslides were accurately monitored during an extreme rainfall on 27-28 April, 2009, featuring 160 mm in 48 h. Compared to other works in the scientific literature, in which only a generic point of location of landslides was known, the present work benefits from the availability of a detailed landslide inventory containing observed landslide shapes.</p><p>The results point out the significantly better performance of  SCOOPS3D, in comparison with the infinite slope stability. Though SCOOPS3D seems to overestimate landslide prone areas, the 3D method is more realistic than the 1D method as far as the slip surface definition is concerned. Therefore, the proposed methodology, lying in the use of SCOOPS 3D with optimized parameters, can be a helpful tool for providing multiple landslide hazard maps for planning.</p>

A numerical framework for infinite slope stability analysis under transient unsaturated seepage conditions

2018 ◽  
Vol 243 ◽  
pp. 36-49 ◽  
Author(s):  
Khanh Pham ◽  
Dongku Kim ◽  
Hyun-Jun Choi ◽  
In-Mo Lee ◽  
Hangseok Choi
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Slope Stability Analysis ◽  
Infinite Slope ◽  
Unsaturated Seepage

scholarly journals Improving Spatial Landslide Prediction with 3D Slope Stability Analysis and Genetic Algorithm Optimization: Application to the Oltrepò Pavese

Water ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 801
Author(s):  
Nunziarita Palazzolo ◽  
David J. Peres ◽  
Massimiliano Bordoni ◽  
Claudia Meisina ◽  
Enrico Creaco ◽  
...  
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
3D Model ◽  
Confusion Matrix ◽  
Three Dimensional ◽  
Extreme Rainfall ◽  
Slope Stability Analysis ◽  
Operating Characteristics ◽  
Infinite Slope ◽  
3D Slope Stability

In this study, we compare infinite slope and the three-dimensional stability analysis performed by SCOOPS 3D (software to analyze three-dimensional slope stability throughout a digital landscape). SCOOPS 3D is a model proposed by the U. S. Geological Survey (USGS), the potentialities of which have still not been investigated sufficiently. The comparison between infinite slope and 3D slope stability analysis is carried out using the same hydrological analysis, which is performed with TRIGRS (transient rainfall infiltration and grid-based regional slope-stability model)—another model proposed by USGS. The SCOOPS 3D model requires definition of a series of numerical parameters that can have a significant impact on its own performance, for a given set of physical properties. In the study, we calibrate these numerical parameters through a multi-objective optimization based on genetic algorithms to maximize the model predictability performance in terms of statistics of the receiver operating characteristics (ROC) confusion matrix. This comparison is carried out through an application on a real case study, a catchment in the Oltrepò Pavese (Italy), in which the areas of triggered landslides were accurately monitored during an extreme rainfall on 27–28 April 2009. Results show that the SCOOPS 3D model performs better than the 1D infinite slope stability analysis, as the ROC True Skill Statistic increases from 0.09 to 0.37. In comparison to other studies, we find the 1D model performs worse, likely for the availability of less detailed geological data. On the other side, for the 3D model we find even better results than the two other studies present to date in the scientific literature. This is to be attributed to the optimization process we proposed, which allows to have a greater gain of performance passing from the 1D to the 3D simulation, in comparison to the above-mentioned studies, where no optimization has been applied. Thus, our study contributes to improving the performances of landslide models, which still remain subject to many uncertainty factors.

scholarly journals A GIS Tool for Infinite Slope Stability Analysis (GIS-TISSA)

2021 ◽  
Vol 12 (2) ◽  
pp. 756-768 ◽  
Author(s):  
Rüdiger Escobar-Wolf ◽  
Jonathon D. Sanders ◽  
C.L. Vishnu ◽  
Thomas Oommen ◽  
K.S. Sajinkumar
Keyword(s):  
Stability Analysis ◽  
Slope Stability ◽  
Slope Stability Analysis ◽  
Infinite Slope
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