Articles | Volume 9, issue 6
https://doi.org/10.5194/esurf-9-1441-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esurf-9-1441-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
11 Nov 2021
Research article |
| 11 Nov 2021
| 11 Nov 2021
An update on techniques to assess normal-mode behavior of rock arches by ambient vibrations
Swiss Seismological Service, ETH Zurich, Zurich, 8092, Switzerland
Paul Richmond Geimer
Department of Geology and Geophysics, University of Utah, Salt Lake City, UT 84112, USA
Riley Finnegan
Department of Geology and Geophysics, University of Utah, Salt Lake City, UT 84112, USA
Donat Fäh
Swiss Seismological Service, ETH Zurich, Zurich, 8092, Switzerland
Jeffrey Ralston Moore
Department of Geology and Geophysics, University of Utah, Salt Lake City, UT 84112, USA
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Janneke van Ginkel, Fabian Walter, Fabian Lindner, Miroslav Hallo, Matthias Huss, and Donat Fäh
EGUsphere, https://doi.org/10.5194/egusphere-2024-646, https://doi.org/10.5194/egusphere-2024-646, 2024
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This study on Glacier de la Plaine Morte in Switzerland employs various passive seismic analysis methods to identify complex hydraulic behaviours at the ice-bedrock interface. In 4 months of seismic records, we detect spatiotemporal variations in the glacier's basal interface, following the drainage of an ice-marginal lake. We identify a low-velocity layer, whose properties are determined using modeling techniques. This low-velocity layer results from temporary water storage within the glacier.
Maren Böse, Laurentiu Danciu, Athanasios Papadopoulos, John Clinton, Carlo Cauzzi, Irina Dallo, Leila Mizrahi, Tobias Diehl, Paolo Bergamo, Yves Reuland, Andreas Fichtner, Philippe Roth, Florian Haslinger, Frédérick Massin, Nadja Valenzuela, Nikola Blagojević, Lukas Bodenmann, Eleni Chatzi, Donat Fäh, Franziska Glueer, Marta Han, Lukas Heiniger, Paulina Janusz, Dario Jozinović, Philipp Kästli, Federica Lanza, Timothy Lee, Panagiotis Martakis, Michèle Marti, Men-Andrin Meier, Banu Mena Cabrera, Maria Mesimeri, Anne Obermann, Pilar Sanchez-Pastor, Luca Scarabello, Nicolas Schmid, Anastasiia Shynkarenko, Bozidar Stojadinović, Domenico Giardini, and Stefan Wiemer
Nat. Hazards Earth Syst. Sci., 24, 583–607, https://doi.org/10.5194/nhess-24-583-2024, https://doi.org/10.5194/nhess-24-583-2024, 2024
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Seismic hazard and risk are time dependent as seismicity is clustered and exposure can change rapidly. We are developing an interdisciplinary dynamic earthquake risk framework for advancing earthquake risk mitigation in Switzerland. This includes various earthquake risk products and services, such as operational earthquake forecasting and early warning. Standardisation and harmonisation into seamless solutions that access the same databases, workflows, and software are a crucial component.
Matthew C. Morriss, Benjamin Lehmann, Benjamin Campforts, George Brencher, Brianna Rick, Leif S. Anderson, Alexander L. Handwerger, Irina Overeem, and Jeffrey Moore
Earth Surf. Dynam., 11, 1251–1274, https://doi.org/10.5194/esurf-11-1251-2023, https://doi.org/10.5194/esurf-11-1251-2023, 2023
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In this paper, we investigate the 28 June 2022 collapse of the Chaos Canyon landslide in Rocky Mountain National Park, Colorado, USA. We find that the landslide was moving prior to its collapse and took place at peak spring snowmelt; temperature modeling indicates the potential presence of permafrost. We hypothesize that this landslide could be part of the broader landscape evolution changes to alpine terrain caused by a warming climate, leading to thawing alpine permafrost.
Athanasios N. Papadopoulos, Philippe Roth, Laurentiu Danciu, Paolo Bergamo, Francesco Panzera, Donat Fäh, Carlo Cauzzi, Blaise Duvernay, Alireza Khodaverdian, Pierino Lestuzzi, Ömer Odabaşi, Ettore Fagà, Paolo Bazzurro, Michèle Marti, Nadja Valenzuela, Irina Dallo, Nicolas Schmid, Philip Kästli, Florian Haslinger, and Stefan Wiemer
EGUsphere, https://doi.org/10.5194/egusphere-2023-1504, https://doi.org/10.5194/egusphere-2023-1504, 2023
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The Earthquake Risk Model of Switzerland (ERM-CH23), released in early 2023, is the culmination of a multidisciplinary effort aiming to achieve, for the first time, a comprehensive assessment of the potential consequences of earthquakes on the Swiss building stock and population. ERM-CH23 provides risk estimates for various impact metrics, ranging from economic loss as a result of damage to buildings and their contents, to human losses, such as deaths, injuries and displaced population.
Riley Finnegan, Jeffrey R. Moore, and Paul R. Geimer
Earth Surf. Dynam., 9, 1459–1479, https://doi.org/10.5194/esurf-9-1459-2021, https://doi.org/10.5194/esurf-9-1459-2021, 2021
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We performed controlled helicopter flights near seven rock arches and towers in Utah, USA, and recorded how their natural vibrations changed as the helicopter performed different maneuvers. We found that arches and towers vibrate up to 1000 times faster during these flights compared to time periods just before the helicopter's approach. Our study provides data that can be used to predict long-term damage to culturally significant rock features from sustained helicopter flights over time.
Joseph P. Verdian, Leonard S. Sklar, Clifford S. Riebe, and Jeffrey R. Moore
Earth Surf. Dynam., 9, 1073–1090, https://doi.org/10.5194/esurf-9-1073-2021, https://doi.org/10.5194/esurf-9-1073-2021, 2021
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River behavior depends on the size of rocks they carry. Rocks are born on hillslopes where erosion removes fragments from solid bedrock. To understand what controls the size of rock fragments, we measured the spacing between cracks exposed in 15 bare-rock cliffs and the size of rocks on the ground below. We found that, for each site, the average rock size could be predicted from the average distance between cracks, which varied with rock type. This shows how rock type can influence rivers.
Matthias Heck, Alec van Herwijnen, Conny Hammer, Manuel Hobiger, Jürg Schweizer, and Donat Fäh
Earth Surf. Dynam., 7, 491–503, https://doi.org/10.5194/esurf-7-491-2019, https://doi.org/10.5194/esurf-7-491-2019, 2019
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We used continuous seismic data from two small aperture geophone arrays deployed in the region above Davos in the eastern Swiss Alps to develop a machine learning workflow to automatically identify signals generated by snow avalanches. Our results suggest that the method presented could be used to identify major avalanche periods and highlight the importance of array processing techniques for the automatic classification of avalanches in seismic data.
Matthias Heck, Conny Hammer, Alec van Herwijnen, Jürg Schweizer, and Donat Fäh
Nat. Hazards Earth Syst. Sci., 18, 383–396, https://doi.org/10.5194/nhess-18-383-2018, https://doi.org/10.5194/nhess-18-383-2018, 2018
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In this study we use hidden Markov models, a machine learning algorithm to automatically identify avalanche events in a continuous seismic data set recorded during the winter 2010. With additional post processing steps, we detected around 70 avalanche events. Although not every detection could be confirmed as an avalanche, we clearly identified the two main avalanche periods of the winter season 2010 in our classification results.
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Cristina Pérez-Guillén, Kae Tsunematsu, Kouichi Nishimura, and Dieter Issler
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Avalanches and slush flows from Mt. Fuji are a major natural hazard as they may attain run-out distances of up to 4 km and destroy parts of the forest and infrastructure. We located and tracked them for the first time using seismic data. Numerical simulations were conducted to assess the precision of the seismic tracking. We also inferred dynamical properties characterizing these hazardous mass movements. This information is indispensable for assessing avalanche risk in the Mt. Fuji region.
Thomas Geay, Ludovic Michel, Sébastien Zanker, and James Robert Rigby
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This research has been conducted to develop the use of passive acoustic monitoring (PAM) for bedload monitoring in rivers. Monitored bedload acoustic signals depend on bedload characteristics (e.g., grain size distribution, fluxes) but are also affected by the environment in which the acoustic waves are propagated. This study focuses on the determination of propagation effects in rivers. An experimental approach has been conducted in several streams to estimate acoustic propagation laws.
Matthias Heck, Alec van Herwijnen, Conny Hammer, Manuel Hobiger, Jürg Schweizer, and Donat Fäh
Earth Surf. Dynam., 7, 491–503, https://doi.org/10.5194/esurf-7-491-2019, https://doi.org/10.5194/esurf-7-491-2019, 2019
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We used continuous seismic data from two small aperture geophone arrays deployed in the region above Davos in the eastern Swiss Alps to develop a machine learning workflow to automatically identify signals generated by snow avalanches. Our results suggest that the method presented could be used to identify major avalanche periods and highlight the importance of array processing techniques for the automatic classification of avalanches in seismic data.
Andreas Köhler and Christian Weidle
Earth Surf. Dynam., 7, 1–16, https://doi.org/10.5194/esurf-7-1-2019, https://doi.org/10.5194/esurf-7-1-2019, 2019
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The uppermost part of permanently frozen ground can thaw during summer and refreeze during winter. We use a method based on naturally generated seismic waves to continuously monitor these changes close to the research settlement of Ny-Ålesund in Svalbard between April and August 2016. Our results reveal some potential pitfalls when interpreting temporal variations in the data. However, we show that a careful data analysis makes this method a very useful tool for long-term permafrost monitoring.
Andrea Manconi, Velio Coviello, Maud Galletti, and Reto Seifert
Earth Surf. Dynam., 6, 1219–1227, https://doi.org/10.5194/esurf-6-1219-2018, https://doi.org/10.5194/esurf-6-1219-2018, 2018
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We evaluated the performance of the low-cost seismic Raspberry Shake (RS) sensors to identify and monitor rockfall activity in alpine environments. The sensors have been tested for a 1-year period in a high alpine environment, recording numerous rock failure events as well as local and distant earthquakes. This study demonstrates that the RS instruments provide a good option to build low seismic monitoring networks to monitor different kinds of geophysical phenomena.
Floriane Provost, Jean-Philippe Malet, Clément Hibert, Agnès Helmstetter, Mathilde Radiguet, David Amitrano, Nadège Langet, Eric Larose, Clàudia Abancó, Marcel Hürlimann, Thomas Lebourg, Clara Levy, Gaëlle Le Roy, Patrice Ulrich, Maurin Vidal, and Benjamin Vial
Earth Surf. Dynam., 6, 1059–1088, https://doi.org/10.5194/esurf-6-1059-2018, https://doi.org/10.5194/esurf-6-1059-2018, 2018
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Seismic sources generated by the deformation of unstable slopes are diverse in terms of signal properties and mechanisms. Standardized catalogues of landslide endogenous seismicity can help understanding the physical processes controlling slope dynamics. We propose a generic typology of seismic sources based on the analysis of signals recorded at various instrumented slopes. We demonstrate that the seismic signals present similar features at different sites and discuss their mechanical sources.
Florian Fuchs, Wolfgang Lenhardt, Götz Bokelmann, and the AlpArray Working Group
Earth Surf. Dynam., 6, 955–970, https://doi.org/10.5194/esurf-6-955-2018, https://doi.org/10.5194/esurf-6-955-2018, 2018
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The work demonstrates how seismic networks installed in the Alps can be used for country-wide real-time monitoring of rockslide activity. We suggest simple methods that allow us to detect, locate, and characterize rockslides using the seismic signals they generate. We developed an automatic procedure to locate rockslides with kilometer accuracy over hundreds of kilometers of distance. Our findings highlight how seismic networks can help us to understand the triggering of rockslides.
Naomi Vouillamoz, Sabrina Rothmund, and Manfred Joswig
Earth Surf. Dynam., 6, 525–550, https://doi.org/10.5194/esurf-6-525-2018, https://doi.org/10.5194/esurf-6-525-2018, 2018
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Seismic monitoring of active landslides enables the detection of microseismic signals generated by slope activity. We propose a classification of
microseismic signals observed at two active clay-rich debris slides and a simple method to constrain their source origin and their size
based on their signal amplitudes. A better understanding of landslide-induced microseismicity is crucial for the development of early warning systems
based on landslide-induced microseismic signal precursors.
Pippa L. Whitehouse
Earth Surf. Dynam., 6, 401–429, https://doi.org/10.5194/esurf-6-401-2018, https://doi.org/10.5194/esurf-6-401-2018, 2018
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This article is a contribution to a special issue on
Two centuries of modelling across scales. It describes the historical observations, evolving hypotheses, and early calculations that led to the development of the field of glacial isostatic sdjustment (GIA) modelling, which seeks to understand feedbacks between ice-sheet change, sea-level change, and solid Earth deformation. Recent and future advances are discussed. Future progress will likely involve an interdisciplinary approach.
Clément Hibert, Jean-Philippe Malet, Franck Bourrier, Floriane Provost, Frédéric Berger, Pierrick Bornemann, Pascal Tardif, and Eric Mermin
Earth Surf. Dynam., 5, 283–292, https://doi.org/10.5194/esurf-5-283-2017, https://doi.org/10.5194/esurf-5-283-2017, 2017
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Short summary
Natural rock arches are valued landmarks worldwide. As ongoing erosion can lead to rockfall and collapse, it is important to monitor the structural integrity of these landforms. One suitable technique involves measurements of resonance, produced when mainly natural sources, such as wind, vibrate the spans. Here we explore the use of two advanced processing techniques to accurately measure the resonant frequencies, damping ratios, and deflection patterns of several rock arches in Utah, USA.
Natural rock arches are valued landmarks worldwide. As ongoing erosion can lead to rockfall and...
