Predicting the rainfall-triggered landslides in a forested mountain region using TRIGRS model

Kim, Dong-Yeob; Im, Sangjun; Lee, Sang Ho; Hong, Youngjoo; Cha, Kyung-Sub

doi:10.1007/s11629-010-1072-9

Cited by 70 publications

(40 citation statements)

References 9 publications

(16 reference statements)

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“…Only a short description is reported here, as many authors have described in detail and used this model in the past decade Salciarini et al, 2008;Kim et al, 2010). The model is based on the method outlined by Iverson (2000) with the implementation of complex storm histories, an impermeable basal boundary at a finite depth, and a simple runoff routing scheme.…”

Section: Trigrs Modelmentioning

confidence: 99%

Comparison between different approaches to modeling shallow landslide susceptibility: a case history in Oltrepo Pavese, Northern Italy

Zizioli

Meisina

Valentino

et al. 2013

Nat. Hazards Earth Syst. Sci.

125

101

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On the 27 and 28 April 2009, the area of Oltrepo Pavese in northern Italy was affected by a very intense rainfall event that caused a great number of shallow landslides. These instabilities occurred on slopes covered by vineyards or recently formed woodlands and caused damage to many roads and one human loss. Based on aerial photographs taken immediately after the event and field surveys, more than 1600 landslides were detected. After acquiring topographical data, geotechnical properties of the soils and land use, susceptibility analysis on a territorial scale was carried out. In particular, different physically based models were applied to two contiguous sites with the same geological context but different typologies and sizes of shallow landslides. This paper presents the comparison between the ex-post results obtained from the different approaches. On the basis of the observed landslide localizations, the accuracy of the different models was evaluated, and the significant results are highlighted

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Section: Trigrs Modelmentioning

confidence: 99%

Comparison between different approaches to modeling shallow landslide susceptibility: a case history in Oltrepo Pavese, Northern Italy

Zizioli

Meisina

Valentino

et al. 2013

Nat. Hazards Earth Syst. Sci.

125

101

View full text Add to dashboard Cite

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“…If the soil is saturated, I Z can be the same as hydraulic conductivity, while it can be zero for dry soil. In this research, the reasonable value 0.01 of the K S Liu and Wu, 2008;Kim et al, 2010) was selected for I Z because of the hot, dry conditions during the summer of this event.…”

Section: Input Parametersmentioning

confidence: 99%

“…In most parts of South Korea, including Seoul, the thickness of the colluvium is generally less than 2 m because of the relatively shallow depth of the bedrock, and hence shallow landslides are frequent. Furthermore, the climate of South Korea is typical of the Indian Ocean monsoon, with pronounced seasonal precipitation (Kim et al, 2010). Thus, rainfall-triggered landslides are a recurring problem in South Korea.…”

Section: Introductionmentioning

confidence: 99%

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

Park

Nikhil

Lee

2013

Nat. Hazards Earth Syst. Sci.

133

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Abstract. This paper presents the results from the application of a regional, physically based stability model: Transient Rainfall Infiltration and Grid-based Regional Slope-stability analysis (TRIGRS) for a region on Woomyeon Mountain, Seoul, South 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 system (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 effectiveness of the model, we proposed an index called LR class (landslide ratio for each predicted FS class). The LR class index is mainly applied in regions where the landslide scar area is not well defined (or is unknown), in order to avoid overestimation 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 spatio-temporal 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.

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“…Mechanical parameters, such as cohesion and friction angle, are involved. SINMAP (Pack et al, 1998;Terhorst and Kreja, 2009) and TRIGRS (Baum et al, 2002(Baum et al, , 2005Kim et al, 2010;Liao et al, 2011) are two widely used physically based models which use Factor of Safety as a criterion to evaluate landslides. However, these models cannot provide a rainfall threshold for triggering landslides in regions or for a specific landslide.…”

Section: Introductionmentioning

confidence: 99%

A simplified physically based coupled rainfall threshold model for triggering landslides

Yu-ming

Lan

Gao

et al. 2015

Engineering Geology

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A number of rainfall threshold models for triggering landslides have been developed in either empirical or physical manner. The objective of an empirical rainfall threshold model is to establish a relationship between rainfall intensity and duration, which is a line on a log-log diagram, although the mechanism of the relationship following the power law is not yet well understood. The sufficiency of rainfall and landslide data is also a significant concern for empirical models. A simplified physically based rainfall threshold model is developed by coupling the Mohr-Coulomb law and Darcy's law based on the assumptions that the slope has an infinite length and that discrete water diffusion is physically based. The power-law mechanism for the relationship between rainfall intensity and duration for the initiation of a landslide is investigated using this physically based model. The rainfall threshold calculated with the model shows that the threshold follows the power law for short rainfall durations whereas it gradually tends towards a constant value for long rainfall durations. Case studies have shown that a plausible threshold for regions that lack sufficient landslide and rainfall data can be obtained via the model. The model is also applied to cases which occurred in regions geologically typical of Fujian Province, southeast China. The landslide distribution predicted by our model accords with the interpretation of high resolution satellite imagery, and this suggests that the proposed physically based model also effectively determines rainfall thresholds for triggering regional landslides.

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Predicting the rainfall-triggered landslides in a forested mountain region using TRIGRS model

Cited by 70 publications

References 9 publications

Comparison between different approaches to modeling shallow landslide susceptibility: a case history in Oltrepo Pavese, Northern Italy

Comparison between different approaches to modeling shallow landslide susceptibility: a case history in Oltrepo Pavese, Northern Italy

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

A simplified physically based coupled rainfall threshold model for triggering landslides

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