ALICE (Assessment of Landslides Induced by Climatic Events): A single tool to integrate shallow and deep landslides for susceptibility and hazard assessment

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

doi:10.1016/j.geomorph.2020.107307

Cited by 23 publications

(21 citation statements)

References 69 publications

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“…The southern unit is dominated by plutonic magmatic rocks (especially granites) overlapped by limestones, while the western and eastern units are composed of metamorphic rocks (especially schists and sandstone) with intercalation of limestone. The lithology can be overlapped by morainic deposits on gentle slopes and morainic colluviums on the steepest slopes (Barrère et al, 1980;Viers, 1987).…”

Section: Validation Of the Modelmentioning

confidence: 99%

“…The Cauterets basin, its geological setting and available dataThe Cauterets municipality is representative of the climatic, lithological, geomorphological and land cover conditions observed in the French Central Pyrenees(Viers, 1987). The municipalities are highly affected by several natural hazards, such as landslides, rockfalls, debris flows and flash floods,Nat.…”

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confidence: 99%

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Modelling landslide hazards under global changes: the case of a Pyrenean valley

Bernardie

Vandromme

Thiéry

et al. 2021

Nat. Hazards Earth Syst. Sci.

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Abstract. Several studies have shown that global changes have important impacts in mountainous areas, since they affect natural hazards induced by hydrometeorological events such as landslides. The present study evaluates, through an innovative method, the influence of both vegetation cover and climate change on landslide hazards in a Pyrenean valley from the present to 2100. We first focused on assessing future land use and land cover changes through the construction of four prospective socioeconomic scenarios and their projection to 2040 and 2100. Secondly, climate change parameters were used to extract the water saturation of the uppermost layers, according to two greenhouse gas emission scenarios. The impacts of land cover and climate change based on these scenarios were then used to modulate the hydromechanical model to compute the factor of safety (FoS) and the hazard levels over the considered area. The results demonstrate the influence of land cover on slope stability through the presence and type of forest. The resulting changes are statistically significant but small and dependent on future land cover linked to the socioeconomic scenarios. In particular, a reduction in human activity results in an increase in slope stability; in contrast, an increase in anthropic activity leads to an opposite evolution in the region, with some reduction in slope stability. Climate change may also have a significant impact in some areas because of the increase in the soil water content; the results indicate a reduction in the FoS in a large part of the study area, depending on the landslide type considered. Therefore, even if future forest growth leads to slope stabilization, the evolution of the groundwater conditions will lead to destabilization. The increasing rate of areas prone to landslides is higher for the shallow landslide type than for the deep landslide type. Interestingly, the evolution of extreme events is related to the frequency of the highest water filling ratio. The results indicate that the occurrences of landslide hazards in the near future (2021–2050 period, scenario RCP8.5) and far future (2071–2100 period, scenario RCP8.5) are expected to increase by factors of 1.5 and 4, respectively.

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Section: Validation Of the Modelmentioning

confidence: 99%

mentioning

confidence: 99%

Modelling landslide hazards under global changes: the case of a Pyrenean valley

Bernardie

Vandromme

Thiéry

et al. 2021

Nat. Hazards Earth Syst. Sci.

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“…Landside modeling is performed with ALICE ® (Assessment of Landslide Induced by Climatic Events) developed by the French Geological Survey (BRGM, [69]). This tool supports landslide susceptibility mapping for areas ranging from local sites (catchments) to large areas (several municipalities; [15,[69][70][71]). Developed in a GIS environment (MAPINFO ® ), it is a SPBM described in [69] and summarized below (Figure 5).…”

Section: Landslide Modeling 331 Alice Presentationmentioning

confidence: 99%

Airborne Electromagnetics to Improve Landslide Knowledge in Tropical Volcanic Environments

2021

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Caribbean areas are particular volcanic territories in tropical environments. These territories juxtapose several landslide-prone areas with different predisposing factors (poorly consolidated volcanic materials, superimposition of healthy materials on highly weathered materials, high heterogeneity of thicknesses, etc.). In these environments, where rapid development of slopes and land use changes are noticeable, it is necessary to better characterize these unstable phenomena that cause damage to infrastructure and people. This characterization has to be carried out on the materials as well as on the initiation conditions of the phenomena and requires complementary investigations. This study, focusing on La Martinique, proposes a landslide analysis methodology that combines new information about landslide-prone materials acquired by an airborne electromagnetics survey with a physical-based model. Once the data are interpreted and compared with field observations and previous data, a geological model is produced and introduced into the physical model to test different instability scenarios. The results show that geophysical investigations (i) improve the knowledge of the internal structure of landslides and surficial formations, (ii) specify the spatial limits of the materials that are sensitive to landslides, and (iii) give a better understanding of landslide initiation conditions, particularly hydrogeological triggering conditions.

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“…Proper management of landslide hazard, as well as saving human lives, can minimize socioeconomical impact that in many developing countries may equal a large percentage of the gross national product [1,2]. LHA is usually based on the spatial and temporal probability of landslide occurrences and is performed following three main steps: (i) the creation of a phenomenon inventory, (ii) a landslide susceptibility analysis and (iii) a landslide hazard analysis [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…In a more general context, the methods currently in use in Italy for LHA include two main types of approach: the field-based qualitative approach and the data-driven quantitative one [14]. The former type includes the so-called "geomorphological" methods [3,[5][6][7][8][15][16][17], while the latter includes the statistical analyses (i.e., bivariate and multi-Land 2021, 10, 624 2 of 22 variate statistical techniques, [7,[18][19][20][21][22]) and the deterministic methods that involve, among others, the analysis of specific sites or slopes based on numerical models [23][24][25][26][27][28][29][30].…”

Section: Introductionmentioning

confidence: 99%

Landslide Hazard Assessment in a Monoclinal Setting (Central Italy): Numerical vs. Geomorphological Approach

Materazzi

Bufalini

Gentilucci

et al. 2021

Land

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A correct landslide hazard assessment (LHA) is fundamental for any purpose of territorial planning. In Italy, the methods currently in use to achieve this objective alternate between those based on mainly qualitative (geomorphological) and quantitative (statistical–numerical) approaches. The present study contributes to the evaluation of the best procedure to be implemented for LHA, comparing the results obtained using two different approaches (geomorphological and numerical) in a territorial context characterized by conditioning and triggering factors, favorable to the instability of the slopes. The results obtained, although preliminary, evidence the respective limitations of the methods and demonstrate how a combined approach can certainly provide mutual advantages, by addressing the choice of the best numerical model through direct observations and surveys.

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ALICE (Assessment of Landslides Induced by Climatic Events): A single tool to integrate shallow and deep landslides for susceptibility and hazard assessment

Cited by 23 publications

References 69 publications

Modelling landslide hazards under global changes: the case of a Pyrenean valley

Modelling landslide hazards under global changes: the case of a Pyrenean valley

Airborne Electromagnetics to Improve Landslide Knowledge in Tropical Volcanic Environments

Landslide Hazard Assessment in a Monoclinal Setting (Central Italy): Numerical vs. Geomorphological Approach

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