Chasing a complete understanding of the triggering mechanisms of a large rapidly evolving rockslide

Crosta, Giovanni B.; Prisco, Claudio di; Frattini, Paolo; Frigerio, Gabriele; Castellanza, Riccardo; Agliardi, Federico

doi:10.1007/s10346-013-0433-1

Cited by 126 publications

(80 citation statements)

References 39 publications

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“…Recently, Crosta et al (2014) simulated the behavior of a large landslide within a DSGSD (the Mont de La Saxe rockslide) based on a subdivision of the slope into different zones and their geotechnical characterization for a reliable simulation of the rockslide. These results indicate the need for a complete understanding of active geological processes before performing any numerical analysis.…”

Section: Resultsmentioning

confidence: 99%

The role of the spatial scale and data accuracy on deep-seated gravitational slope deformation modeling: The Ronco landslide, Italy

et al. 2016

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In recent decades numerical models have been developed and extensively used for landslide hazard and risk assessment. The reliability of the outcomes of these numerical simulations must be evaluated carefully as it mainly depends on the soundness of the physical model of the landslide that in turn often requires the integration of several surface and subsurface surveys in order to achieve a satisfactory spatial resolution. Merging diverse sources of data may be particularly complex for large landslides, because of intrinsic heterogeneity and possible great data uncertainty. In this paper, we assess the spatial scale and data accuracy required for effective numerical landslide modeling. We focus on two particular aspects: the model extent and the accuracy of input datasets. The Ronco landslide, a deep-seated gravitational slope deformation (DSGSD) located in the North of Italy, was used as a test-bed. Geological, geomorphological and geophysical data were combined and, as a result, eight models with different spatial scales and data accuracies were obtained. The models were used to run a back analysis of an event in 2002, during which part of the slope moved after intense rainfalls. The results point to the key role of a proper geomorphological zonation to properly set the model extent. The accuracy level of the input datasets should also be tuned. We suggest applying the approach presented here to other DSGSDs with different geological and geomorphological settings to test the reliability of our findings.

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Section: Resultsmentioning

confidence: 99%

The role of the spatial scale and data accuracy on deep-seated gravitational slope deformation modeling: The Ronco landslide, Italy

et al. 2016

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“…This behavior was observed over several seasons with in-situ monitoring instruments and the underlying mechanisms are currently studied in detail. Spring acceleration of alpine DSGSD is usually explained in Moosfluh but also in other alpine rock slope instabilities as the effect of ground water pressure variations due to the infiltration of snow melt [1,28,33], however, the physical processes governing the accelerations in late summer Remote Sens. 2018, 10, 672 4 of 14 might be related to interactions with the valley glacier at the landslide toe.…”

Section: Methodsmentioning

confidence: 99%

Monitoring Surface Deformation over a Failing Rock Slope with the ESA Sentinels: Insights from Moosfluh Instability, Swiss Alps

et al. 2018

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Abstract:We leverage on optical and radar remote sensing data acquired from the European Space Agency (ESA) Sentinels to monitor the surface deformation evolution on a large and very active instability located in the Swiss Alps, i.e., the Moosfluh rock slope. In the late summer 2016, a sudden acceleration was reported at this location, with surface velocity rates passing from maximum values of 0.2 cm/day to 80 cm/day. A dense pattern of uphill-facing scarps and tension cracks formed within the instability and rock fall activity started to become very pronounced. This evolution of the rock mass may suggest that the most active portion of the slope could fail catastrophically. Here we discuss advantages and limitations of the use of spaceborne methods for hazard analyses and early warning by using the ESA Sentinels, and show that in critical scenarios they are often not sufficient to reliably interpret the evolution of surface deformation. The insights obtained from this case study are relevant for similar scenarios in the Alps and elsewhere.

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“…The multitechnique approach, which consists of the integration of information obtained from different techniques, has been successfully applied to the study of many landslides (e.g. Ausilio and Zimmaro 2016, Crosta et al 2014, Hürlimann et al 2006, Mantovani et al 2013, Merritt et al 2014, Naudet et al 2008, Sass et al 2008, Travelletti et al 2013, Travelletti and Malet 2012. As the geometry of bedrock, internal layers and sliding surface of landslides govern their mechanism and displacement pattern (Travelletti and Malet 2012), geological, hydrological, geophysical and geotechnical instrumentation for monitoring are frequently combined for the characterization of this gravitational process.…”

Section: Introductionmentioning

confidence: 99%

A multidisciplinary approach for the investigation of a rock spreading on an urban slope

et al. 2017

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Landslides are very complex processes controlled by multiple factors. The knowledge and characterization of these factors is essential for a comprehensive understanding of the mechanisms and kinematics of the instabilities and for an efficient design of corrective measures. The aim of this work is to combine traditional geological and geotechnical techniques with geophysical, remote sensing and forensic techniques for obtaining a whole picture of an active lateral spreading affecting the Finestrat municipality in Alicante, SE Spain. Geomorphological, geotechnical and geophysical techniques (i.e. ground penetrating radar and refraction seismic) have provided essential information about the geometry, structure and petro-physical properties of the slope. A Terrestrial Laser Scanner was used for recognizing the most important sets of discontinuities affecting the rock mass and to evaluate the activity of the landslide slope. Complementarily, a forensic analysis of the building damage completed the available datasets, yielding very useful kinematic information of the landslide. Finally, a sensitivity analysis of the stability of the rock slope has been performed considering both block toppling and block sliding models. Therefore, the multisource analysis performed in this work has allowed the identification and characterization of a complex lateral spreading, highlighting its effectiveness for a comprehensive understanding of this type of landslide.

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Chasing a complete understanding of the triggering mechanisms of a large rapidly evolving rockslide

Cited by 126 publications

References 39 publications

The role of the spatial scale and data accuracy on deep-seated gravitational slope deformation modeling: The Ronco landslide, Italy

The role of the spatial scale and data accuracy on deep-seated gravitational slope deformation modeling: The Ronco landslide, Italy

Monitoring Surface Deformation over a Failing Rock Slope with the ESA Sentinels: Insights from Moosfluh Instability, Swiss Alps

A multidisciplinary approach for the investigation of a rock spreading on an urban slope

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