A5069992716- Seismic Waves and Analysis
- Landslides and related hazards
- Seismology and Earthquake Studies
- Cryospheric studies and observations
- Geophysics and Sensor Technology
- Seismic Imaging and Inversion Techniques
- Underwater Acoustics Research
- Structural Health Monitoring Techniques
- Advanced Fiber Optic Sensors
- Geophysical Methods and Applications
- Rock Mechanics and Modeling
- Winter Sports Injuries and Performance
- Flow Measurement and Analysis
- Arctic and Antarctic ice dynamics
- Icing and De-icing Technologies
- Geological Modeling and Analysis
- Smart Materials for Construction
- Earthquake Detection and Analysis
- Anomaly Detection Techniques and Applications
- Climate change and permafrost
- Time Series Analysis and Forecasting
- Drilling and Well Engineering
- Underwater Vehicles and Communication Systems
- Speech and Audio Processing
- Geotechnical Engineering and Analysis
Swiss Federal Institute for Forest, Snow and Landscape Research
2022-2025
ETH Zurich
2017-2024
University of Texas Institute for Geophysics
2020
Czech Academy of Sciences, Institute of Geophysics
2020
Abstract Records of Alpine microseismicity are a powerful tool to study landscape-shaping processes and warn against hazardous mass movements. Unfortunately, seismic sensor coverage in regions is typically insufficient. Here we show that distributed acoustic sensing (DAS) bridges critical observational gaps seismogenic terrain. Dynamic strain measurements 1 km long fiber optic cable on glacier surface produce high-quality seismograms related flow nearby rock falls. The nearly 500 channels...
ABSTRACT With the potential of high temporal and spatial sampling capability utilizing existing fiber-optic infrastructure, distributed acoustic sensing (DAS) is in process revolutionizing geophysical ground-motion measurements, especially remote urban areas, where conventional seismic networks may be difficult to deploy. Yet, for DAS become an established method, we must ensure that accurate amplitude phase information can obtained. Furthermore, as spreading into many different application...
Abstract We demonstrate the logistic feasibility and scientific potential of distributed acoustic sensing (DAS) in alpine volcano‐glacial environments that are subject to a broad range natural hazards. Our work considers Mount Meager massif, an active volcanic complex British Columbia, estimated have largest geothermal Canada, home Canada's recorded landslide 2010. From September October 2019, we acquired continuous strain data, using 3‐km long fiber‐optic cable, deployed on ridge uppermost...
Interest in measuring displacement gradients, such as rotation and strain, is growing many areas of geophysical research. This results an urgent demand for reliable field-deployable instruments these quantities. In order to further establish a high-quality standard strain measurements seismology, we organized comparative sensor test experiment that took place November 2019 at the Geophysical Observatory Ludwig-Maximilians University Munich Fürstenfeldbruck, Germany. More than 24 different...
Abstract Avalanches and other hazardous mass movements pose a danger to the population critical infrastructure in alpine areas. Hence, understanding continuously monitoring are crucial mitigate their risk. We propose use Distributed Acoustic Sensing (DAS) measure strain rate along fiber‐optic cable characterize ground deformation induced by avalanches. recorded 12 snow avalanches of various dimensions at Vallée de la Sionne test site Switzerland, utilizing existing DAS interrogation unit...
Distributed Acoustic Sensing (DAS) data often involve large volumes but may be characterized by low Signal-to-Noise Ratios (SNR) compared to traditional seismic point sensors when terrain conditions hinder appropriate sensor coupling. While the vast amount of increases analysis capabilities, SNR bury signals interest under high environmental noise level emitted a multitude near-surface processes - in turn hindering detection and capabilities. Effective denoising techniques are therefore...
We propose a theory for rotational and strain ambient noise interferometry, motivated by the recent development of ground motion sensors distributed acoustic sensing (DAS) technology. In this context, we demonstrate that displacement, rotation interferograms can be generically written in form representation theorem, is, as solution to seismic wave equation refer interferometric wavefield. The physical quantity (displacement, or rotation) determines source wavefield, well an observational...
Abstract We present a workflow for producing shallow subsurface velocity models from passive urban distributed acoustic sensing (DAS) data. This method is demonstrated using dataset collected in Bern, Switzerland, situ telecommunications fiber. compute noise correlations to extract Rayleigh-wave dispersion curves, which we then use produce series of overlapping 1D the top tens meters subsurface. represents realistic “best-case” scenario when real fiber—the cable layout linear, its location...
Records of Alpine microseismicity are a powerful tool to study landscape-shaping processes and warn against hazardous mass movements. Unfortunately, seismic sensor coverage in regions is typically insufficient. Here we show that distributed acoustic sensing (DAS) bridges critical observational gaps seismogenic terrain. Dynamic strain measurements 1 km long fiber optic cable on glacier surface produce high-quality seismograms related flow nearby rock falls. The nearly 500 channels recisely...
We present an artificial neural network (ANN) for the classification of ambient seismic noise correlations into two categories, suitable and unsuitable tomography. By using only a small manually classified data subset training, ANN allows us to classify large volumes with low human effort encode valuable subjective experience analysts that cannot be captured by deterministic algorithm. Based on new feature extraction procedure exploits wavelet-like nature time-series, we efficiently reduce...
Observations of glacier melt and runoff are fundamental interest in the study glaciers their interactions with environment. Considerable recent has developed around distributed acoustic sensing (DAS), a technique which utilizes Rayleigh backscatter fiber optic cables to measure seismo-acoustic wavefield high spatial temporal resolution. Here, we present data from month-long, 9 km DAS deployment extending through ablation accumulation zones on Rhonegletscher, Switzerland, during 2020 season....
Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Geophysical Research Letters. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Detecting Seismic Events with Computer Vision: Applications Fiber-Optic SensingAuthorsSolviThrastarsoniDRobertTorfasoniDSaraKlaaseniDPatrickPaitziDYesimCUBUK...
We demonstrate the detectability of snow avalanches using Distributed Acoustic Sensing (DAS) with existing fiber-optic telecommunication cables. For this, during winter 2021/2022, we interrogated a 10 km long cable closely following avalanche prone Fluelapass road in Swiss Alps. In addition to other signals like traffic and earthquakes, DAS data contain clear recordings numerous avalanches, even though most them do not reach cable. Here present two examples that could be verified...
<p>Anticipating the risks natural hazards pose to an urban environment requires understanding of shallow Earth structure region. While infrastructure often hinders deployment a traditional seismic array, Distributed Acoustic Sensing (DAS) technology facilitates use existing telecommunication fibre-optic cables for observation, with spatial resolution down metre scale.</p><p>Through collaboration SWITCH foundation, we were able existing, in-situ...
<p>With the upside of high spatial and temporal sampling even in remote or urban areas using existing fiber-optic infrastructure, Distributed Acoustic Sensing (DAS) is process revolutionising way we look at seismological data acquisition. However, recent publications show variations quality DAS measurements along a single cable. In addition to site- orientation effects, strongly affected by transfer function between deforming medium fiber, which turn depends on...
<p><span>Avalanche research requires comprehensive measurements of sudden and rapid snow mass movement that is hard to predict. Automatic cameras, radar infrasound sensors provide valuable observations avalanche structure dynamic parameters, such as velocity. Recently, seismic have also gained popularity, because they can monitor activity over larger spatial scales. Moreover, signals elucidate rheological properties, which be used distinguish different types...
Snow avalanches pose significant threats in alpine regions, leading to considerable human and economic losses. The ability promptly identify the locations timing of avalanche events is essential for effective prediction risk mitigation. Conventional automatic detection systems typically rely on radars and/or seismo-acoustic sensors. While these operate successfully regardless weather conditions, their coverage often confined a single slope or small catchment (distances < 3 km). In our...
One major challenge in cryoseismology is that signals of interest are often buried within the high noise level emitted by a multitude environmental processes. Specifically, basal sources such as stick-slip events stay unnoticed due to long travel paths surface sensors and accompanied wave attenuation. Yet, play crucial role understanding glacier sliding therefore, it great investigate their spatio-temporal evolution, across entire from its ablation accumulation zone.Distributed Acoustic...
Distributed Acoustic Sensing (DAS) represents a leap in seismic monitoring capabilities. Compared to traditional single-seismometer stations, DAS measures strain at meter sub-meter intervals along fiber-optic cables thus offering unprecedented temporal and spatial resolution. Leveraging the resolution of enables us monitor detect seismogenic processes domain hazardous mass-movements, including catastrophic rock avalanches. Here, we present semi-supervised neural network algorithm for...
Effective use of the wealth information provided by Distributed Acoustic Sensing (DAS) for mass movement monitoring remains a challenge. We propose semi-supervised neural network tailored to screen DAS data related series rock collapses leading major failure approximately 1.2 million m3 on 15 June 2023 in Brienz, Eastern Switzerland. Besides DAS, dataset from 16 May 30 includes Doppler radar ground-truth labeling. The proposed algorithm is capable distinguishing between rock-slope failures...
Abstract Observations of glacier melt and runoff are fundamental interest in the study glaciers their interactions with environment. Considerable recent has developed around distributed acoustic sensing (DAS), a technique which utilizes Rayleigh backscatter fiber optic cables to measure seismo-acoustic wavefield high spatial temporal resolution. Here, we present data from month-long, 9 km DAS deployment extending through ablation accumulation zones on Rhonegletscher, Switzerland, during 2020...
Abstract Effective use of the wealth information provided by Distributed Acoustic Sensing (DAS) for mass movement monitoring remains a challenge. We propose semi‐supervised neural network tailored to screen DAS data related series rock collapses leading major failure approximately 1.2 million on 15 June 2023 in Brienz, Eastern Switzerland. Besides DAS, dataset from 16 May 30 includes Doppler radar partially ground‐truth labeling. The proposed algorithm is capable distinguishing between...