Articles | Volume 6, issue 2
https://doi.org/10.5194/esurf-6-525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/esurf-6-525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
27 Jun 2018
Research article |
| 27 Jun 2018
| 27 Jun 2018
Characterizing the complexity of microseismic signals at slow-moving clay-rich debris slides: the Super-Sauze (southeastern France) and Pechgraben (Upper Austria) case studies
Naomi Vouillamoz
CORRESPONDING AUTHOR
Institute for Geophysics, University of Stuttgart, 70174 Stuttgart,
Germany
Sabrina Rothmund
Institute for Geophysics, University of Stuttgart, 70174 Stuttgart,
Germany
Manfred Joswig
Institute for Geophysics, University of Stuttgart, 70174 Stuttgart,
Germany
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Subaerial and subglacial seismic characteristics of the largest measured jökulhlaup from the eastern Skaftá cauldron, Iceland
Short communication: Potential of Sentinel-1 interferometric synthetic aperture radar (InSAR) and offset tracking in monitoring post-cyclonic landslide activities on Réunion
Automated classification of seismic signals recorded on the Åknes rock slope, Western Norway, using a convolutional neural network
Short communication: A tool for determining multiscale bedform characteristics from bed elevation data
Probabilistic estimation of depth-resolved profiles of soil thermal diffusivity from temperature time series
Vibration of natural rock arches and towers excited by helicopter-sourced infrasound
An update on techniques to assess normal-mode behavior of rock arches by ambient vibrations
Precise water level measurements using low-cost GNSS antenna arrays
Locating rock slope failures along highways and understanding their physical processes using seismic signals
Reconstructing the dynamics of the highly similar May 2016 and June 2019 Iliamna Volcano (Alaska) ice–rock avalanches from seismoacoustic data
Seismo-acoustic energy partitioning of a powder snow avalanche
Comment on “Dynamics of the Askja caldera July 2014 landslide, Iceland, from seismic signal analysis: precursor, motion and aftermath” by Schöpa et al. (2018)
Seismic location and tracking of snow avalanches and slush flows on Mt. Fuji, Japan
Acoustic wave propagation in rivers: an experimental study
Automatic detection of avalanches combining array classification and localization
Potentials and pitfalls of permafrost active layer monitoring using the HVSR method: a case study in Svalbard
Short Communication: Monitoring rockfalls with the Raspberry Shake
Towards a standard typology of endogenous landslide seismic sources
Seismic detection of rockslides at regional scale: examples from the Eastern Alps and feasibility of kurtosis-based event location
Glacial isostatic adjustment modelling: historical perspectives, recent advances, and future directions
Single-block rockfall dynamics inferred from seismic signal analysis
Eva P. S. Eibl, Kristin S. Vogfjörd, Benedikt G. Ófeigsson, Matthew J. Roberts, Christopher J. Bean, Morgan T. Jones, Bergur H. Bergsson, Sebastian Heimann, and Thoralf Dietrich
Earth Surf. Dynam., 11, 933–959, https://doi.org/10.5194/esurf-11-933-2023, https://doi.org/10.5194/esurf-11-933-2023, 2023
Short summary
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Floods draining beneath an ice cap are hazardous events that generate six different short- or long-lasting types of seismic signals. We use these signals to see the collapse of the ice once the water has left the lake, the propagation of the flood front to the terminus, hydrothermal explosions and boiling in the bedrock beneath the drained lake, and increased water flow at rapids in the glacial river. We can thus track the flood and assess the associated hazards better in future flooding events.
Marcello de Michele, Daniel Raucoules, Claire Rault, Bertrand Aunay, and Michael Foumelis
Earth Surf. Dynam., 11, 451–460, https://doi.org/10.5194/esurf-11-451-2023, https://doi.org/10.5194/esurf-11-451-2023, 2023
Short summary
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Landslide processes are causes of major concern to population and infrastructures on Réunion. In this study, we used data from the Copernicus Sentinel-1 satellite to map ground motion in Cirque de Salazie. We concentrate on the cyclonic season 2017–2018. Our results show ground motion in the Hell-Bourg, Ilet à Vidot,
Grand-Ilet, Camp Pierrot, and Le Bélier landslides. Moreover, we show an unknown pattern of ground motion situated in a non-instrumented, uninhabited area on the ground.
Nadège Langet and Fred Marcus John Silverberg
Earth Surf. Dynam., 11, 89–115, https://doi.org/10.5194/esurf-11-89-2023, https://doi.org/10.5194/esurf-11-89-2023, 2023
Short summary
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Microseismic events recorded on the Åknes rock slope in Norway during the past 15 years are automatically divided into eight classes. The results are analysed and compared to meteorological data, showing a strong increase in the microseismic activity in spring mainly due to freezing and thawing processes.
Judith Y. Zomer, Suleyman Naqshband, and Antonius J. F. Hoitink
Earth Surf. Dynam., 10, 865–874, https://doi.org/10.5194/esurf-10-865-2022, https://doi.org/10.5194/esurf-10-865-2022, 2022
Short summary
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Riverbeds are often composed of different scales of dunes, whose sizes and shapes are highly variable over time and space. Characterization of these dunes is important in many research studies focused on fluvial processes. A tool is presented here that aims to identify different scales of dunes from riverbed elevation maps. A first step is to separate two scales of bedforms without smoothing steep slopes of the larger dunes. In a second step, dunes are identified and properties are computed.
Carlotta Brunetti, John Lamb, Stijn Wielandt, Sebastian Uhlemann, Ian Shirley, Patrick McClure, and Baptiste Dafflon
Earth Surf. Dynam., 10, 687–704, https://doi.org/10.5194/esurf-10-687-2022, https://doi.org/10.5194/esurf-10-687-2022, 2022
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This paper proposes a method to estimate thermal diffusivity and its uncertainty over time, at numerous locations and at an unprecedented vertical spatial resolution from soil temperature time series. We validate and apply this method to synthetic and field case studies. The improved quantification of soil thermal properties is a cornerstone for advancing the indirect estimation of the fraction of soil components needed to predict subsurface storage and fluxes of water, carbon, and nutrients.
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.
Mauro Häusler, Paul Richmond Geimer, Riley Finnegan, Donat Fäh, and Jeffrey Ralston Moore
Earth Surf. Dynam., 9, 1441–1457, https://doi.org/10.5194/esurf-9-1441-2021, https://doi.org/10.5194/esurf-9-1441-2021, 2021
Short summary
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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.
David J. Purnell, Natalya Gomez, William Minarik, David Porter, and Gregory Langston
Earth Surf. Dynam., 9, 673–685, https://doi.org/10.5194/esurf-9-673-2021, https://doi.org/10.5194/esurf-9-673-2021, 2021
Short summary
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We present a new technique for precisely monitoring water levels (e.g. sea level, rivers or lakes) using low-cost equipment (approximately USD 100–200) that is simple to build and install. The technique builds on previous work using antennas that were designed for navigation purposes. Multiple antennas in the same location are used to obtain more precise measurements than those obtained when using a single antenna. Software for analysis is provided with the article.
Jui-Ming Chang, Wei-An Chao, Hongey Chen, Yu-Ting Kuo, and Che-Ming Yang
Earth Surf. Dynam., 9, 505–517, https://doi.org/10.5194/esurf-9-505-2021, https://doi.org/10.5194/esurf-9-505-2021, 2021
Short summary
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Seismic techniques applied in rock slope failure research do not provide rapid notifications, as for earthquakes, due to the lack of connections between seismic signals and events. We studied 10 known events in Taiwan and developed a GeoLoc scheme to locate rock slope failures, estimate the event volume, and understand their physical process using available videos. With real-time seismic data transmission, a rapid report can be created for the public within several minutes of the event.
Liam Toney, David Fee, Kate E. Allstadt, Matthew M. Haney, and Robin S. Matoza
Earth Surf. Dynam., 9, 271–293, https://doi.org/10.5194/esurf-9-271-2021, https://doi.org/10.5194/esurf-9-271-2021, 2021
Short summary
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Large avalanches composed of ice and rock are a serious hazard to mountain communities and backcountry travellers. These processes shake the Earth and disturb the atmosphere, generating seismic waves and sound waves which can travel for hundreds of kilometers. In this study, we use the seismic waves and sound waves produced by two massive avalanches on a volcano in Alaska to reconstruct how the avalanches failed. Our method may assist with rapid emergency response to these global hazards.
Emanuele Marchetti, Alec van Herwijnen, Marc Christen, Maria Cristina Silengo, and Giulia Barfucci
Earth Surf. Dynam., 8, 399–411, https://doi.org/10.5194/esurf-8-399-2020, https://doi.org/10.5194/esurf-8-399-2020, 2020
Short summary
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We present infrasonic and seismic array data of a powder snow avalanche, that was released on 5 February 2016, in the Dischma valley nearby Davos, Switzerland. Combining information derived from both arrays, we show how infrasound and seismic energy are radiated from different sources acting along the path. Moreover, infrasound transmits to the ground and affects the recorded seismic signal. Results highlight the benefits of combined seismo-acoustic array analyses for monitoring and research.
Tómas Jóhannesson, Jón Kristinn Helgason, and Sigríður Sif Gylfadóttir
Earth Surf. Dynam., 8, 173–175, https://doi.org/10.5194/esurf-8-173-2020, https://doi.org/10.5194/esurf-8-173-2020, 2020
Cristina Pérez-Guillén, Kae Tsunematsu, Kouichi Nishimura, and Dieter Issler
Earth Surf. Dynam., 7, 989–1007, https://doi.org/10.5194/esurf-7-989-2019, https://doi.org/10.5194/esurf-7-989-2019, 2019
Short summary
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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
Earth Surf. Dynam., 7, 537–548, https://doi.org/10.5194/esurf-7-537-2019, https://doi.org/10.5194/esurf-7-537-2019, 2019
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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
Short summary
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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
Short summary
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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.
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
Cited articles
Bakun, W. H. and Joyner, W. B.: The ML scale in Central California,
B.
Seismol. Soc. Am., 74, 1827–1843, 1984.
Battaglia, J.: Location of seismic events and eruptive fissures on the Piton
de la Fournaise volcano using seismic amplitudes, J. Geophys. Res., 108, 2364,
https://doi.org/10.1029/2002JB002193, 2003.
Battaglia, J., Aki, K., and Ferrazzini, V.: Location of tremor sources and
estimation of lava output using tremor source amplitude on the Piton de la
Fournaise volcano: 1. Location of tremor sources, J. Volcanol.
Geoth. Res., 147, 268–290, https://doi.org/10.1016/j.jvolgeores.2005.04.005,
2005.
Beard, F. D.: Predicting slides in cut slopes, Western Construction, San
Fransisco, 36, 72 pp., 1961.
Biescas, B., Dufour, F., Furdada, G., Khazaradze, G., and Suriñach, E.:
Frequency Content Evolution of Snow Avalanche Seismic Signals, Surv. Geophys.,
24, 447–464, https://doi.org/10.1023/B:GEOP.0000006076.38174.31, 2003.
Brückl, E. and Mertl, S.: Seismic monitoring of deep-seated mass
movements, Disaster Mitigation of Debris Flows, Slope Failures and
Landslides, Universal Academy Press, Inc. Tokyo, Japan, 571–580, 2006.
Brückl, E., Brunner, F. K., Lang, E., Mertl, S., Müller, M., and
Stary, U.: The Gradenbach Observatory—monitoring deep-seated gravitational
slope deformation by geodetic, hydrological, and seismological methods,
Landslides, 10, 815–829, https://doi.org/10.1007/s10346-013-0417-1, 2013.
Cadman, J. D. and Goodman, R. E.: Landslide noise, Science, 158, 1182–1184,
https://doi.org/10.1126/science.158.3805.1182, 1967.
Chouet, B.: Resonance of a Fluid-Driven Crack: Radiation Properties and
Implications for the Source of Long-Period Events and Harmonic Tremor,
J. Geophys. Res., 93, 4375–4400, 1988.
Deichmann, N.: Theoretical Basis for the Observed Break in ML/Mw Scaling
between Small and Large Earthquakes, B. Seismol. Soc.
Am., 107, 505–520, https://doi.org/10.1785/0120160318, 2017.
Diehl, T., Kissling, E., Husen, S., and Aldersons, F.: Consistent phase
picking for regional tomography models: application to the greater Alpine
region, Geophys. J. Int., 176, 542–554,
https://doi.org/10.1111/j.1365-246X.2008.03985.x, 2009.
Eberhardt, E., Spillmann, T., Maurer, H., Willenberg, H., Loew, S., and
Stead, D.: The Randa Rockslide Laboratory: Establishing brittle and ductile
instability mechanisms using numerical modelling and microseismicity, 9th
International Symposium of Landslides, Rio de Janeiro, A. A. Balkema,
Leiden, 481–487, 2004.
Edwards, B., Kraft, T., Cauzzi, C., Kastli, P., and Wiemer, S.: Seismic
monitoring and analysis of deep geothermal projects in St Gallen and Basel,
Switzerland, Geophys. J. Int., 201, 1022–1039,
https://doi.org/10.1093/gji/ggv059, 2015.
Eibl, E. P. S., Lokmer, I., Bean, C. J., Akerlie, E., and Vogfjörd, K.
S.: Helicopter vs. volcanic tremor: Characteristic features of seismic
harmonic tremor on volcanoes, J. Volcanol. Geoth.
Res., 304, 108–117, https://doi.org/10.1016/j.jvolgeores.2015.08.002, 2015.
Eibl, E. P. S., Lokmer, I., Bean, C. J., and Akerlie, E.: Helicopter location
and tracking using seismometer recordings, Geophys. J.
Int., 209, 901–908, https://doi.org/10.1093/gji/ggx048, 2017.
Fischer, T., Roth, M., and Kühn, D.: Seismic monitoring of a rock slope
Åknes, Norway: time-reversal localization of seismic activity,
Geophys. Res. Abstr., 16, 1610108F, 2014.
Gance, J., Malet, J.-P., Supper, R., Sailhac, P., Ottowitz, D., and Jochum,
B.: Permanent electrical resistivity measurements for monitoring water
circulation in clayey landslides, J. Appl. Geophys., 126,
98–115, https://doi.org/10.1016/j.jappgeo.2016.01.011, 2016.
Gomberg, J., Bodin, P., Savage, W., and Jackson, M. E.: Landslide faults and
tectonic faults, analog?: The Slumgullion earthflow, Colorado, Geology, 23,
41–44, 1995.
Gomberg, J., Schulz, W., Bodin, P., and Kean, J.: Seismic and geodetic
signatures of fault slip at the Slumgullion Landslide Natural Laboratory,
J. Geophys. Res., 116, B09404, https://doi.org/10.1029/2011JB008304, 2011.
Hammer, C., Beyreuther, M., and Ohrnberger, M.: A Seismic-Event Spotting
System for Volcano Fast-Response Systems, B. Seismol.
Soc. Am., 102, 948–960, https://doi.org/10.1785/0120110167, 2012.
Hammer, C., Ohrnberger, M., and Fah, D.: Classifying seismic waveforms from
scratch: a case study in the alpine environment, Geophys. J.
Int., 192, 425–439, https://doi.org/10.1093/gji/ggs036, 2013.
Helmstetter, A. and Garambois, S.: Seismic monitoring of Séchilienne
rockslide (French Alps): Analysis of seismic signals and their correlation
with rainfalls, J. Geophys. Res., 115, F03016, https://doi.org/10.1029/2009JF001532,
2010.
Helmstetter, A., Moreau, L., Nicolas, B., Comon, P., and Gay, M.:
Intermediate-depth icequakes and harmonic tremor in an Alpine glacier
(Glacier d'Argentière, France): Evidence for hydraulic fracturing?, J.
Geophys. Res.-Earth, 120, 402–416, https://doi.org/10.1002/2014JF003289, 2015.
Hotovec, A. J., Prejean, S. G., Vidale, J. E., and Gomberg, J.: Strongly
gliding harmonic tremor during the 2009 eruption of Redoubt Volcano, J.
Volcanol. Geoth. Res., 259, 89–99,
https://doi.org/10.1016/j.jvolgeores.2012.01.001, 2013.
Hungr, O., Leroueil, S., and Picarelli, L.: The Varnes classification of
landslide types, an update, Landslides, 11, 167–194,
https://doi.org/10.1007/s10346-013-0436-y, 2014.
Hutton, L. K. and Boore, D. M.: The ML scale in southern California,
B. Seismol. Soc. Am., 77, 2074–2094, 1987.
Jolly, A. D., Thompson, G., and Norton, G. E.: Locating pyroclastic flows on
Soufriere Hills Volcano, Montserrat, West Indies, using amplitude signals
from high dynamic range instruments, J. Volcanol. Geoth.
Res., 118, 299–317, 2002.
Jones, G. A., Kulessa, B., Doyle, S. H., Dow, C. F., and Hubbard, A.: An
automated approach to the location of icequakes using seismic waveform
amplitudes, Ann. Glaciol., 54, 1–9, https://doi.org/10.3189/2013AoG64A074, 2013.
Joswig, M.: Pattern recognition for earthquake detection, B.
Seismol. Soc. Am., 80, 170–186, 1990.
Joswig, M.: Automated classification of local earthquake data in the BUG
small array, Geophys. J. Int., 120, 262–286, 1995.
Joswig, M.: Pattern recognition techniques in seismic signal processing,
in:
Proc. 2. workshop AI in seismology and engineering seismology, Cahiers
Centre Europ. Geodyn. Seism., 12, 37–56, 1996.
Joswig, M.: Nanoseismic monitoring fills the gap between microseismic
networks and passive seismic, special topic, Leveraging Technology, first
break, 26, 117–124, 2008.
Jurich, D. M. and Miller Russell, J.: Acoustic monitoring of landslides,
Geotechnology, Transport. Res. Rec., 1119, 30–38, 1987.
Koerner, R. M., McCabe, W. M., and Lord, A. E.: Acoustic Emission Behavior
and Monitoring of Soils, in: Acoustic Emissions in Geotechnical Engineering
Practice, edited by: Drnevich, V. P. and Gray, R. E., ASTM International, 100
Barr Harbor Drive, PO Box C700, West Conshohocken, PA 19428-2959, 93-93-49,
1981.
Kumagai, H., Palacios, P., Maeda, T., Castillo, D. B., and Nakano, M.:
Seismic tracking of lahars using tremor signals, J. Volcanol.
Geoth. Res., 183, 112–121, https://doi.org/10.1016/j.jvolgeores.2009.03.010,
2009.
Lacroix, P. and Helmstetter, A.: Location of Seismic Signals Associated with
Microearthquakes and Rockfalls on the Sechilienne Landslide, French Alps,
B. Seismol. Soc. Am., 101, 341–353,
https://doi.org/10.1785/0120100110, 2011.
Lindner, G., Schraml, K., Ottowitz, D., Jochum, B., Gruber, H., and
Tartarotti, T.: Monitoring im Bereich des Erdschuttstroms Pechgraben
(Oberösterreich): Methodik und Ergebnisse, Journal for Torrent,
Avalanche, Landslide and Rock Fall, 73, 19 pp., 2014.
Lindner, G., Schraml, K., Mansberger, R., and Hübl, J.: UAV monitoring
and documentation of a large landslide, Appl. Geomat., 8, 1–11,
https://doi.org/10.1007/s12518-015-0165-0, 2016.
Lipovsky, B. P. and Dunham, E. M.: Tremor during ice-stream stick slip, The Cryosphere, 10, 385–399, https://doi.org/10.5194/tc-10-385-2016, 2016.
Malet, J.-P., Laigle, D., Remaître, A., and Maquaire, O.: Triggering
conditions and mobility of debris flows associated to complex earthflows,
Geomorphology, 66, 215–235, https://doi.org/10.1016/j.geomorph.2004.09.014, 2005.
Mertl, S. and Brückl, E.: Observation of fracture processes in creeping
rock masses by seismic monitoring, in: Proceedings of 11th Congress of the
ISRM, Lisbon, Portugal, 9–13 July 2007.
RESIF: French Multidisciplinary Observatory of Versant Instabilities; RESIF – Réseau Sismologique et géodésique Français,
https://doi.org/10.15778/RESIF.MT, 2006.
Provost, F., Hibert, C., and Malet, J.-P.: Automatic classification of
endogenous landslide seismicity using the Random Forest supervised
classifier, Geophys. Res. Lett., 44, 113–120, https://doi.org/10.1002/2016GL070709,
2017.
Richter, C. F.: Elementary Seismology, W.H. Freeman and Co., San Fransisco,
1958.
Röösli, C., Walter, F., Husen, S., Andrews, L. C., Lüthi, M. P.,
Catania, G. A., and Kissling, E.: Sustained seismic tremors and icequakes
detected in the ablation zone of the Greenland ice sheet, J. Glaciol., 60,
563–575, https://doi.org/10.3189/2014JoG13J210, 2014.
Roth, M., Dietrich, M., Blikra, L. H., and Lecomte, I.: Seismic monitoring
of the unstable rock slope site at Aknes, Norway, NORSAR Report, Oslo, 2005.
Rothmund, S., Vouillamoz, N., and Joswig, M.: Mapping slow-moving alpine
landslides by UAV — Opportunities and limitations, The Leading Edge, 36,
571–579, https://doi.org/10.1190/tle36070571.1, 2017.
Schlindwein, V., Wassermann, J., and Scherbaum, F.: Spectral analysis of
harmonic tremor at Mt. Semeru volcano, Indonesia, Geophys. Res.
Let., 22, 1685–1688, 1995.
Sick, B.: Temporal and spectral pattern recognition for detection and
combined network and array waveform coherence analysis for location of
seismic events, Thesis, Institute for Geophysics, University of Stuttgart,
Stuttgart, Germany, 225 pp., 2016.
Sick, B., Walter, M., and Joswig, M.: Visual Event Screening of Continuous
Seismic Data by Supersonograms, Pure Appl. Geophys., 171, 549–559,
https://doi.org/10.1007/s00024-012-0618-x, 2012.
Sick, B., Guggenmos, M., and Joswig, M.: Chances and limits of
single-station seismic event clustering by unsupervised pattern recognition,
Geophys. J. Int., 201, 1801–1813, https://doi.org/10.1093/gji/ggv126,
2015.
Spillmann, T., Maurer, H., Green, A. G., Heincke, B., Willenberg, H., and
Husen, S.: Microseismic investigation of an unstable mountain slope in the
Swiss Alps, J. Geophys. Res., 112, B07301, https://doi.org/10.1029/2006JB004723,
2007.
Stange, S.: ML Determination for Local and Regional Events Using a Sparse
Network in Southwestern Germany, J. Seismol., 10, 247–257,
https://doi.org/10.1007/s10950-006-9010-6, 2006.
Tonnellier, A., Helmstetter, A., Malet, J.-P., Schmittbuhl, J., Corsini, A.,
and Joswig, M.: Seismic monitoring of soft-rock landslides: the Super-Sauze
and Valoria case studies, Geophys. J. Int., 193,
1515–1536, https://doi.org/10.1093/gji/ggt039, 2013.
Unglert, K. and Jellinek, A. M.: Volcanic tremor and frequency gliding
during dike intrusions at Kılauea – A tale of three
eruptions, J. Geophys. Res.-Sol. Ea., 120, 1142–1158,
https://doi.org/10.1002/2014JB011596, 2015.
van Herwijnen, A. and Schweizer, J.: Monitoring avalanche activity using a
seismic sensor, Cold Reg. Sci. Technol., 69, 165–176,
https://doi.org/10.1016/j.coldregions.2011.06.008, 2011.
Vouillamoz, N.: Microseismic characterization of Fribourg area (Switzerland)
by Nanoseismic Monitoring, Thesis, Department of Geosciences – Unit of Earth
Sciences, University of Fribourg, Fribourg, Switzerland, 270 pp., 2015.
Vouillamoz, N., Wust-Bloch, G. H., Abednego, M., and Mosar, J.: Optimizing
Event Detection and Location in Low-Seismicity Zones: Case Study from
Western Switzerland, B. Seismol. Soc. Am., 106,
2023–2036, https://doi.org/10.1785/0120160029, 2016.
Walter, F., Burtin, A., McArdell, B. W., Hovius, N., Weder, B., and Turowski,
J. M.: Testing seismic amplitude source location for fast debris-flow
detection at Illgraben, Switzerland, Nat. Hazards Earth Syst. Sci., 17,
939–955, https://doi.org/10.5194/nhess-17-939-2017, 2017.
Walter, M. and Joswig, M.: Seismic monitoring of fracture processes
generated by a creeping landslide in the Vorarlberg Alps, First Break, 26,
131–135, 2008.
Walter, M. and Joswig, M.: Seismic characterization of slope dynamics caused
by softrock-landslides: the Super-Sauze case-study, in: Proceedings of the
International Conference on Landslide Processes: from geomorphologic mapping
to dynamic modelling, edited by: Malet, J.-P., Remaître, A., and
Boogard, T. A., CERG Editions, Strasbourg, 215–220, 2009.
Walter, M., Walser, M., and Joswig, M.: Mapping Rainfall-Triggered
Slidequeakes and Seismic Landslide-Volume Estimation at Heumoes slope, Vadose
Zone J., 10, 487–495, 2011.
Walter, M., Arnhardt, C., and Joswig, M.: Seismic monitoring of rockfalls,
slide quakes, and fissure development at the Super-Sauze mudslide, French
Alps, Eng. Geol., 128, 12–22, https://doi.org/10.1016/j.enggeo.2011.11.002, 2012.
Williams, R. A. and Pratt, T. L.: Detection of the base Slumgullion
landslide, Colorado, by seismic reflection and refraction methods, in: The
Slumgullion Earth Flow: A Large-Scale Natural Laboratory, edited by: Varnes,
D. J., and Savage, W. Z., U.S. Geol. Surv. Bull., 2130, 77–84, 1996.
Wust-Bloch, G. H. and Joswig, M.: Pre-collapse identification of sinkholes
in unconsolidated media at Dead Sea area by “nanoseismic monitoring”
(graphical jackknife location of weak sources by few, low-SNR records),
Geophys. J. Int., 167, 1220–1232, https://doi.org/10.1111/j.1365-246X.2006.03083.x,
2006.
Yamasato, H.: Quantitative Analysis of Pyroclastic Flows Using Infrasonic
and Seismic Data at Unzen Volcano, Japan, J. Phys. Earth, 45, 397–416, 1997.
Short summary
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.
Seismic monitoring of active landslides enables the detection of microseismic signals generated...
Special issue