Monitoring strategies for local landslide early warning systems

Pecoraro, Gaetano; Calvello, Michele; Piciullo, Luca

doi:10.1007/s10346-018-1068-z

Cited by 190 publications

(92 citation statements)

References 57 publications

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“…Severe retreat processes, mainly occurring with landslides and erosion, are affecting, for instance, many of the coastal cliffs forming the rocky Italian coastline in various geological contexts (Iadanza et al, 2009;Furlani et al, 2014). Here, failures may affect cliff formed by carbonate rocks (e.g., Andriani and Walsh, 2007;Ferlisi et al, 2012), arenaceous-pelitic or calcareous-pelitic flysch (e.g., Budetta et al, 2000;De Vita et al, 2012), sandstones (e.g., Sciarra et al, 2015), shales (e.g., Raso et al, 2017), or volcanic rocks (e.g., Barbano et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…The use of systems aimed at monitoring the slope stability is becoming a standard practice to assess and prevent geological and geotechnical hazards and plan effective actions for hazard analysis and risk mitigation. Several on-site cliff monitoring systems are operative in mountainous environments (Pecoraro et al, 2018), as for example in the Swiss Alps (Spillmann et al, 2007), Bohemia (Zvelebill and Moser, 2001), Spain (Janeras et al, 2017) and Northern Apennines (Salvini et al, 2015). These systems have the purpose of detecting and measuring small-scale rock deformations that can be regarded as precursors of slope failures.…”

Section: Introductionmentioning

confidence: 99%

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Integrated dataset of deformation measurements in fractured volcanic tuff and meteorological data (Coroglio coastal cliff, Naples, Italy)

Matano

Caccavale

Esposito

et al. 2020

Earth Syst. Sci. Data

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Abstract. Along the coastline of the Phlegraean Fields volcanic district, near Naples (Italy), severe retreat processes affect a large part of the coastal cliffs, mainly made of fractured volcanic tuff and pyroclastic deposits. Progressive fracturing and deformation of rocks can lead to hazardous sudden slope failures on coastal cliffs. Among the triggering mechanisms, the most relevant are related to meteorological factors, such as precipitation and thermal expansion due to solar heating of rock surfaces. In this paper, we present a database of measurement time series taken over a period of ∼4 years (December 2014–October 2018) for the deformations of selected tuff blocks in the Coroglio coastal cliff. The monitoring system is implemented on five unstable tuff blocks and is formed by nine crackmeters and two tiltmeters equipped with internal thermometers. The system is coupled with a total weather station, measuring rain, temperature, wind and atmospheric pressure and operating from January 2014 up to December 2018. Measurement frequencies of 10 and 30 min have been set for meteorological and deformation sensors respectively. The aim of the measurements is to assess the magnitude and temporal pattern of rock block deformations (fracture opening and block movements) before block failure and their correlation with selected meteorological parameters. The results of a multivariate statistical analysis of the measured time series suggest a close correlation between temperature and deformation trends. The recognized cyclic, sinusoidal changes in the width (opening–closing) of fractures and tuff block rotations are ostensibly linked to multiscale (i.e., daily, seasonal and annual) temperature variations. Some trends of cumulative multi-temporal changes have also been recognized. The full databases are freely available online at: https://doi.org/10.1594/PANGAEA.896000 (Matano et al., 2018) and https://doi.org/10.1594/PANGAEA.899562 (Fortelli et al., 2019).

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrated dataset of deformation measurements in fractured volcanic tuff and meteorological data (Coroglio coastal cliff, Naples, Italy)

Matano

Caccavale

Esposito

et al. 2020

Earth Syst. Sci. Data

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“…Landslides are characterized by movement; therefore, a distributed system, able to acquire the movement magnitude and velocity in the area of interest, is fundamental for all landslide analysis [6]. Different types of systems and techniques can be adopted to monitor ground surface displacements during landslide phenomena [7][8][9]. Among the available methods for landslide monitoring [10], we are proposing a hybrid solution that considers the deployment of geotechnical sensors to create an integrated monitoring system that can acquire information on a target area, using both deep earth probes and superficial sensors.…”

Section: Introductionmentioning

confidence: 99%

Bio-Inspired Robotic Solutions for Landslide Monitoring

Patané

2019

Energies

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Bio-inspired solutions are often taken into account to solve problems that nature took millions of years to deal with. In the field of robotics, when we need to design systems able to perform in unstructured environments, bio-inspiration can be a useful instrument both for mechanical design and for the control architecture. In the proposed work the problem of landslide monitoring is addressed proposing a bio-inspired robotic structure developed to deploy a series of smart sensors on target locations with the aim of creating a sensor network capable of acquiring information on the status of the area of interest. The acquired data can be used both to create models and to generate alert signals when a landslide event is identified in the early stage. The design process of the robotic system, including dynamic simulations and robot experiments, will be presented here.

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“…These gravity-driven rupture phenomena occurring in natural heterogeneous media are rare, but have potential to cause major disasters, especially when they are at the origin of a chain of processes involving other materials such as snow (snow avalanche), water (flood) and/or debris (mudflow) (Gill and Malamud, 2014). They potentially endanger mountain communities or real estate development and are at the origin of huge human fatalities and economic costs (Petley et al, 2005;Sidle and Ochiai, 2006;Lacasse et al, 2009;Petley, 2012). In the context of climate warming, degradation of permafrost is expected to further promote slope destabilization in high mountains and thus increase the occurrence of such natural disasters (Gruber et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

Towards early warning of gravitational slope failure with co-detection of microseismic activity: the case of an active rock glacier

Faillettaz

Funk

Beutel

et al. 2019

Nat. Hazards Earth Syst. Sci.

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We developed a new strategy for disaster risk reduction for gravitational slope failure: we propose validating on a case study a simple method for real-time early warning of gravity-driven failures that considers and exploits both the heterogeneity of natural media and characteristics of acoustic emissions attenuation. This method capitalizes on codetection of elastic waves emanating from micro-cracks by a network of multiple and spatially distributed sensors. Event co-detection is considered to be surrogate for large event size with more frequent co-detected events marking imminence of catastrophic failure. In this study we apply this general method to a steep active rock glacier, a natural heterogeneous material sharing all relevant properties of gravitational slope failure, and demonstrate the potential of this simple strategy for real world cases, i.e., at slope scale. This new strategy being theoretically valid for all types of failures, it constitutes a first step towards the development of a new early warning system for gravitational slope failure.Published by Copernicus Publications on behalf of the European Geosciences Union.

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Monitoring strategies for local landslide early warning systems

Cited by 190 publications

References 57 publications

Integrated dataset of deformation measurements in fractured volcanic tuff and meteorological data (Coroglio coastal cliff, Naples, Italy)

Integrated dataset of deformation measurements in fractured volcanic tuff and meteorological data (Coroglio coastal cliff, Naples, Italy)

Bio-Inspired Robotic Solutions for Landslide Monitoring

Towards early warning of gravitational slope failure with co-detection of microseismic activity: the case of an active rock glacier

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