Landslide Susceptibility Assessment by EPBM (Expert Physically Based Model): Strategy of Calibration in Complex Environment

Thiéry, Yannick; Vandromme, Rosalie; Maquaire, Olivier; Bernardie, Séverine

doi:10.1007/978-3-319-53498-5_104

Cited by 13 publications

(23 citation statements)

References 18 publications

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“…However, the results of the experimental tests demonstrate that a reliable analysis of the Figure 10: The triggering mechanisms hypothesized according to the experimental evidences: (a) failure induced by an uprise of a temporary perched water table (for soils with relatively low initial water content); (b) failure induced by the advance of the wetting front (for soils with relatively high initial water content). 10 Geofluids shallow landslide triggering conditions requires not only the proper evaluation of the input parameters but also the use of an infiltration model that must be coherent with the real expected events. For this reason, we decided to evaluate the hydraulic effects induced by the rainfall event that occurred in Rome in 2014 to four different soil types outcropping on Monte Mario.…”

Section: Geofluidsmentioning

confidence: 99%

“…This type of landslides represents a widespread hazard that frequently results in considerable damage to infrastructure and human losses in many mountainous regions of the world, especially in areas characterized by the widespread presence of natural (e.g., [1][2][3]) and/or humanreworked soil cover (e.g., [4][5][6]). For this reason, in recent years great efforts are being made to improve the assessment of the temporal and spatial occurrence of rainfall-induced shallow landslides, especially through physically based models (e.g., [7][8][9][10]). However, the fundamental controls leading to slope failure driven by rainfall are still not well quantified [11], and thus the improvement of current models is still an important research topic [12].…”

Section: Introductionmentioning

confidence: 99%

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The Role of Initial Soil Conditions in Shallow Landslide Triggering: Insights from Physically Based Approaches

et al. 2019

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In the last years, the shallow landslide phenomenon has increasingly been investigated through physically based models, which try to extend over large-area simplified slope stability analyses using physical and mechanical parameters of the involved material. However, the parameterization of such models is usually challenging even at the slope scale, due to the numerous parameters involved in the failure mechanism. In particular, considering the scale of the phenomenon, the role of transient hydrology is essential. For this reason, in this work we present the outcome of different experimental tests conducted on a soil slope model with a sloping flume. The tested material was sampled on Monte Mario Hill (Rome, Central Italy), an area which has been frequently affected by rainfall-induced landslide events in the past. In this respect, we also performed a physically based numerical analysis at the field conditions, in order to evaluate the response of the terrain to a recent extreme rainfall event. The results of the flume tests show that, for the same material, two different triggering mechanisms (i.e., uprise of a temporary water table and advance of the wetting front) occur by varying the initial water content only. At the same time, the results of the numerical simulations indicate that clayey sand and lean clay are the soil types mostly influenced by the abovementioned rainfall event, since the initial moisture conditions enhance the formation of a wide wetting front within the soil profile.

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Section: Geofluidsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Role of Initial Soil Conditions in Shallow Landslide Triggering: Insights from Physically Based Approaches

et al. 2019

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“…Despite numerous slope stability models have been developed (e.g. Montgomery and Dietrich 1994;Iverson 2000;Borga et al 2002;Liao et al 2011;Formetta et al 2014;Ho and Lee 2016;Thiery et al 2017), the fundamental controls leading to slope failure driven by rainfall are still not well quantified (Borja et al 2012), and thus the improvement of current models is still an important research topic (Chang et al 2008). The difficulty of building up reliable mathematical models lies in the numerous variables involved in the triggering process, such as spatial and temporal rainfall variability, mechanical and hydraulic soil properties, slope morphology, vegetation coverage, initial soil suction and moisture (Greco et al 2010).…”

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 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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“…The second step consisted of spatializing the FoS to define the most unstable areas according to a spatialized physically based model (i.e., ALICE ® ) developed by the French Geological Survey [65,66]. ALICE ® is able to support different landslides' geometries, the spatial and inherent heterogeneity of the surficial deposits and geology and their geotechnical parameters, different triggering factors (i.e., GWL and seismicity-PGA), and land use change.…”

Section: Landslide Susceptibility Analysis: Slope Stability Modelingmentioning

confidence: 99%

“…Geomechanical characteristics are associated with each geologic and surficial deposit layer. More details about the tool and its possibility can be found in [65,66]; 3.…”

Section: Landslide Susceptibility Analysis: Slope Stability Modelingmentioning

confidence: 99%

Analysis of Slope Sensitivity to Landslides by a Transdisciplinary Approach in the Framework of Future Development: The Case of La Trinité in Martinique (French West Indies)

Thiéry¹,

Reninger

Lacquement

et al. 2017

Geosciences

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Landslide hazard and risk assessment (LHA & LRA) in the French West Indies is a big challenge, particularly in Martinique, where several factors contribute to high slope sensitivity to landslides. This sensitivity is particularly due to volcanic ground, hurricane seasons, and growing pressure from urban development. Thus, to protect future goods and inhabitants and avoid increased slope sensitivity to landslide, it is necessary to analyze by different ways and complementary approaches the future planned areas. This research focuses on a site the City Council of 'La Trinité' wishes to develop. The goals consist of locating landslide-prone areas and providing some recommendations/indications for future projects. The site is characterized by a hilly topography alternating steep slopes, gentle slopes, and eroded areas and is located on a complex lithology (i.e., andesite, basalt, and weathered materials). By combining several approaches and techniques (geology, geomorphology, geophysics, and modeling), it is demonstrated that some areas are particularly susceptible to landslide, notably where colluviums are juxtaposed to highly weathered materials. The different documents produced, based on modeling and expert knowledge, combined with indications should allow the definition of new susceptibility classes, taking into account probable anthropic influence and development. Even if the temporal probability of the experimental documents is not taken into account, they help with refining knowledge of landslide-prone areas and different types of instability. The documents should be discussed with end users for future planning.

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Landslide Susceptibility Assessment by EPBM (Expert Physically Based Model): Strategy of Calibration in Complex Environment

Cited by 13 publications

References 18 publications

The Role of Initial Soil Conditions in Shallow Landslide Triggering: Insights from Physically Based Approaches

The Role of Initial Soil Conditions in Shallow Landslide Triggering: Insights from Physically Based Approaches

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

Analysis of Slope Sensitivity to Landslides by a Transdisciplinary Approach in the Framework of Future Development: The Case of La Trinité in Martinique (French West Indies)

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