The effects of extreme precipitations on landslide hazard in the pyroclastic deposits of Campania Region: a review

Picarelli, Luciano; Olivares, Lucio; Damiano, Emilia; Darban, Reza; Santo, Antonio

doi:10.1007/s10346-020-01423-5

Cited by 30 publications

(10 citation statements)

References 42 publications

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“…By contrast, drained failure of localized type may take place at the critical state when slides turning into flows. Previous studies [25,30,31] suggest that landslides in loose unsaturated soils with low hydraulic conductivity are prone to flowslide failure upon rainfall infiltration. Our experiments indicate that flowslide failure can occur in both dense and loose state.…”

Section: Influence Of Initial Slope Conditionmentioning

confidence: 99%

Centrifuge modelling of rainfall-induced slope failure in variably saturated soil

Wang

Idinger

2021

Acta Geotech.

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This paper presents the results of centrifuge tests on rainfall-induced instabilities in variably saturated slopes. The roles of rainfall intensity and initial conditions, such as slope angle, porosity and degree of saturation of the soil, in the failure initiation and postfailure kinematics are considered. The failure patterns, infiltration profile and deformation at prefailure and postfailure stages are characterized. The results indicate that rainfall-induced slope failures usually follow one of the following two failure modes, i.e. slide-to-flow and flowslide failure modes. The former pattern is characterized by soil mass flow after initial failure along a continuous shear surface, while the latter is more relevant to the rapid increase in the saturation at the slope surface, resulting in surface erosion channels followed by the acceleration of the soil mass. The flowslide failure pattern usually gives rise to several superficial shear surfaces and longer run-out distances. The rainfall intensity and profiles of the degree of saturation play the key roles in initiating the slope failure at the prefailure stage and subsequently in mobilizing the soil mass at the postfailure stage. Our test data, together with the data from the literature, are presented in two threshold curves to define the critical condition of slope failure under rainfall infiltration.

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Section: Influence Of Initial Slope Conditionmentioning

confidence: 99%

Centrifuge modelling of rainfall-induced slope failure in variably saturated soil

Wang

Idinger

2021

Acta Geotech.

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“…Moreover, the soil suction recorded at the bottom of the slope (tensiometers installed at z = 10 cm in Figure 4) became lower than the suction recorded at mid-height (tensiometer at z = 5 cm in Figure 4), indicating that soil saturation was occurring, with the possible formation of a water table arising from the bottom of the slope. Indeed, the progressive soil saturation accompanied by volumetric and shear strains is the mechanical process leading to slope failure [18,19]. Afterwards, the settlements increased significantly and in a less uniform manner throughout the slope, up to failure, which occurred 29 min after the beginning of the rainfall.…”

Section: Experimental Tests In An Instrumented Flumementioning

confidence: 99%

Distributed Optical Fiber Sensor Applications in Geotechnical Monitoring

Minardo

Zeni

Coscetta

et al. 2021

Sensors

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We report the experimental application of distributed optical fiber sensors, based on stimulated Brillouin scattering (SBS), to the monitoring of a small-scale granular slope reconstituted in an instrumented flume and subjected to artificial rainfall until failure, and to the monitoring of a volcanic rock slope. The experiments demonstrate the sensors’ ability to reveal the sudden increase in soil strain that foreruns the failure in a debris flow phenomenon, as well as to monitor the fractures in the tuff rocks. This study offers an important perspective on the use of distributed optical fiber sensors in the setting up of early warning systems for landslides in both rock and unconsolidated materials.

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“…Observed soil hydrological conditions in a day often do not correspond only to antecedent rainfall indexes [41], due to the complex subsurface hydrological processes and drainage systems. In fact, especially during concentrated thunderstorms occurred when soils are particularly dry, non-equilibrium lags are often observed [7,31,42]. This may cause biases that limit the reliability of models aiming to explain soil-water content or soil-water potential dynamics in time [43].…”

Section: Datasetsmentioning

confidence: 99%

A Data-Driven Method for the Temporal Estimation of Soil Water Potential and Its Application for Shallow Landslides Prediction

Bordoni

Inzaghi

Vivaldi

et al. 2021

Water

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Soil water potential is a key factor to study water dynamics in soil and for estimating the occurrence of natural hazards, as landslides. This parameter can be measured in field or estimated through physically-based models, limited by the availability of effective input soil properties and preliminary calibrations. Data-driven models, based on machine learning techniques, could overcome these gaps. The aim of this paper is then to develop an innovative machine learning methodology to assess soil water potential trends and to implement them in models to predict shallow landslides. Monitoring data since 2012 from test-sites slopes in Oltrepò Pavese (northern Italy) were used to build the models. Within the tested techniques, Random Forest models allowed an outstanding reconstruction of measured soil water potential temporal trends. Each model is sensitive to meteorological and hydrological characteristics according to soil depths and features. Reliability of the proposed models was confirmed by correct estimation of days when shallow landslides were triggered in the study areas in December 2020, after implementing the modeled trends on a slope stability model, and by the correct choice of physically-based rainfall thresholds. These results confirm the potential application of the developed methodology to estimate hydrological scenarios that could be used for decision-making purposes.

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The effects of extreme precipitations on landslide hazard in the pyroclastic deposits of Campania Region: a review

Cited by 30 publications

References 42 publications

Centrifuge modelling of rainfall-induced slope failure in variably saturated soil

Centrifuge modelling of rainfall-induced slope failure in variably saturated soil

Distributed Optical Fiber Sensor Applications in Geotechnical Monitoring

A Data-Driven Method for the Temporal Estimation of Soil Water Potential and Its Application for Shallow Landslides Prediction

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