Remote sensing and seismic data integration for the characterization of a rock slide and an artificially triggered rock fall

Guinau, Marta; Tapia, Mar; Pérez-Guillén, Cristina; Suriñach, Emma; Roig, Pere; Khazaradze, Giorgi; Torné, Marta; Royan, Manuel J.; Echeverría, Anna

doi:10.1016/j.enggeo.2019.04.010

Cited by 27 publications

(13 citation statements)

References 42 publications

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“…In a short time inversion analysis for an individual landslide: the seismograms and spectrograms are consistent with the dynamic process (location, trajectory, volume, energy, and mechanism of evolution) of the landslide, e.g., different waveform peaks recorded in the seismogram correspond to the collapsed material impacting and rebounding on the ground; the onset time, duration, and speed of a landslide can also be interpreted from the seismogram and the spectrogram (Berrocal et al 1978;Kanamori and Given 1982;Ekström and Stark 2013;Yamada et al 2013;Burtin et al 2014;Hibert et al 2014Hibert et al , 2015Hibert et al , 2017aDel Gaudio et al 2018;Guinau et al 2019;Li et al 2019;Zhang et al 2019); In long-term unmanned monitoring: microseismic monitoring could help to develop an early warning system by observing the parameters' variation in both waveform and seismic Landslides events detected; in addition, by estimating the hypocenters of the seismic sources, it could help to identify the most dangerous zones in the monitored area and analyze the correlation with tectonics, climate, etc., to design effective mitigation measures accordingly (Satriano et al 2011;Kao et al 2012;Coviello et al 2015;Manconi et al 2016;Hibert et al 2017b, c;Arosio et al 2018;Schöpa et al 2018).…”

Section: Introductionmentioning

confidence: 77%

“…The method uses the polarization from a three-component sensor to calculate the source back azimuth through finding the correct P wave from event signal, which is commonly used in earthquake localization (Flinn 1965;Jurkevics 1988). Vilajosana et al (2008) and Guinau et al (2019) extended the technique to rockfall localization. Original signal traces and time-frequency wavelet transforms of the four event types: EQ, TR, artificial RF, natural RF.…”

Section: Spatial Estimationmentioning

confidence: 99%

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A framework for temporal and spatial rockfall early warning using micro-seismic monitoring

et al. 2020

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Rockfall risk is usually characterized by a high frequency of occurrence, difficulty in prediction (given high velocity, lack of noticeable forerunners, abrupt collapse, and complex mechanism), and a relatively high potential vulnerability, especially against people and communication routes. Considering that larger rockfalls and rockslides are generally anticipated by an increased occurrence of events, in this study, a framework based on microseismic monitoring is introduced for a temporal and spatial rockfall early warning. This approach is realized through the detection, classification, and localization of all the rockfalls recorded during a 6-month-long microseismic monitoring performed in a limestone quarry in central Italy. Then, in order to provide a temporal warning, an observable quantity of accumulated energy, associated to the rockfall rolling and bouncing and function of the number and volume of events in a certain time window, has been defined. This concept is based on the material failure method developed by Fukuzono-Voight. As soon as the first predicted time of failure and relative warning time are declared, all the rockfalls occurred in a previous time window can be located in a topographic map to find the rockfall susceptible area and thus to complement the warning with spatial information. This methodology has been successfully validated in an ex post analysis performed in the aforementioned quarry, where a large rockfall was forecasted with a lead time of 3 min. This framework provides a novel way for rockfall spatiotemporal early warning, and it could be helpful for activating traffic lights and closing mountain roads or other transportation lines using the knowledge of the time and location of a failure. Since this approach is not based on the detection of the triggering events (like for early warnings based on rainfall thresholds), it can be used also for earthquake-induced failures.

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Section: Introductionmentioning

confidence: 77%

Section: Spatial Estimationmentioning

confidence: 99%

A framework for temporal and spatial rockfall early warning using micro-seismic monitoring

et al. 2020

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“…(e.g., Panzera et al 2018). The measured dimensions of the blocks, extracted from the 3D model in this study, could eventually also be used to obtain the eigenmode frequencies of the individual blocks using numerical modelling and encourage studies that compare theoretical and observed vibration of the detached or nearly detached boulders with the aim of simulating and/or monitoring rock failure, collapse, as well as rockfall analysis (e.g., Guinau et al 2019;Iannucci et al 2020). Monitoring of unstable cliff areas could provide an important contribution to hazard and risk assessment, and a vital tool for coastal zone management and civil protection.…”

Section: Discussionmentioning

confidence: 99%

Using unmanned aerial vehicle photogrammetry for digital geological surveys: case study of Selmun promontory, northern of Malta

et al. 2021

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In recent years, we have been witnessing the widespread use of low-cost, increasingly high-performance Unmanned Aerial Vehicles, or UAVs, equipped with a large number of sensors capable of extracting detailed information on several scales and in an immediate manner. This study was motivated by the need to perform a geological survey in an area with difficult physical access, and to compare the results with those from conventional surveys. Here we used a Multirotor UAV equipped with a high definition RGB camera and the digital photogrammetry technique to reconstruct a three-dimensional model of the Selmun promontory, located in the northern part of the island of Malta (central Mediterranean Sea). In this area, the evident cliff retreat is linked to landslide processes involving the outcropping geological succession, characterized by the over position of stiff limestones on ductile clays. Such an instability process consists of a lateral spreading associated with toppling and fall of different-size rock blocks. Starting from the 3D model obtained from the UAV-photogrammetry, a digital geological-structural survey was performed in which we identified the spatial geometry of the fractures that characterize the area of the Selmun promontory by measuring strike, dip and dip direction of the fractures with semi-automatic digital tools. Furthermore, we were able to measure the size and volume of singularized rock masses as well as cracks, and their sizes were mapped in a GIS environment that contains a large number of digital structural measures. It is the first application of this type for the Maltese islands and the results obtained with this innovative digital methodology were then compared with those of the traditional field survey of the same area acquired during a previous campaign. This study demonstrated how the innovation of digital geological surveying lies in the possibility of mapping areas and geological features not detectable with traditional methods, mainly due to the high risk associated with the stability of the cliff or, more generally, the inaccessibility of some sites, therefore allowing the user to operate in safety and to detect in detail the most remote rocky outcrops.

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“…Feng et al (2017) implement the method of numerical simulation for processing seismic signals with the help of Hilbert-Huang transform that, coupled with field survey data, enables restoring landslide process dynamics and defining its spatiotemporal characteristics. Guinau et al (2019) used joint processing of seismic signals and remote sensing data for calculating landslide volume, detecting its structural changes, and monitoring of unstable slopes.…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modeling of Landslide Slope Dynamics and Sustainable Development of Territories of Asian Russia

Хорошилов

Karpik

Musikhin

2021

Preprint

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The possibilities of applying the results of modeling the landslide stress-strain state to predict landslide hazard and make management decisions under intensive and spatial development of the territories of Asian Russia are considered. Economic and spatial development of the territories concerning reorganization or formation of economically viable components of various production chains require careful consideration of their safe and continuous operation. In this respect, great attention is paid to the studies on exogenous geological processes under the complex geomorphic conditions that can have a substantial impact on the operation of production chain links. The authors present a technique for modeling a landslide slope movement caused by anthropogenic impact. The revealed patterns in which influencing factors affect vertical displacements of landslide points created the conditions for their description at a new qualitative level. Mathematical modeling of landslide slope movement is based on the dynamic-type prediction model. This made it possible to predict the displacements of observed landslide points with sufficient accuracy. Based on a geo-cognitive safety monitoring of production chain links primarily important for the social and economic development of territories, the possibility of using the prediction models of the landslide slope stress-strain behavior as a "solver" in expert systems for forecasting landslide danger when making management decisions is shown.

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Remote sensing and seismic data integration for the characterization of a rock slide and an artificially triggered rock fall

Cited by 27 publications

References 42 publications

A framework for temporal and spatial rockfall early warning using micro-seismic monitoring

A framework for temporal and spatial rockfall early warning using micro-seismic monitoring

Using unmanned aerial vehicle photogrammetry for digital geological surveys: case study of Selmun promontory, northern of Malta

Mathematical Modeling of Landslide Slope Dynamics and Sustainable Development of Territories of Asian Russia

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