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  • 1
    Publication Date: 2005-01-01
    Print ISSN: 0148-0227
    Electronic ISSN: 2156-2202
    Topics: Geosciences
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  • 2
    Publication Date: 2006-12-12
    Description: Many evidences of oscillations accompanying the acceleration of critical systems have been reported. These oscillations are usually related to discrete scale invariance properties of the systems and exhibit a logarithmic periodicity. In this paper we propose another explanation for these oscillations in the case of shearing fracture. Using a continuum damage model, we show that oscillations emerge from the anisotropic properties of the cracks in the shearing fracture zone. These oscillations no longer exhibit a logarithmic but rather a power-law periodicity. The power-periodic oscillation is a more general formulation. Its reduces to a log-periodic oscillation when the exponent of the power-law equals one. We apply this model to fit the measured displacements of unstable ice masses of hanging glaciers for which data are available. Results show that power-periodic oscillations adequately fit the observations.
    Print ISSN: 1023-5809
    Electronic ISSN: 1607-7946
    Topics: Geosciences , Physics
    Published by Copernicus on behalf of European Geosciences Union.
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  • 3
    Publication Date: 2005-09-30
    Description: The velocity of unstable large ice masses from hanging glaciers increases as a power-law function of time prior to failure. This characteristic acceleration presents a finite-time singularity at the theoretical time of failure and can be used to forecast the time of glacier collapse. However, the non-linearity of the power-law function makes the prediction difficult. The effects of the non-linearity on the predictability of a failure are analyzed using a non-linear regression method. Predictability strongly depends on the time window when the measurements are performed. Log-periodic oscillations have been observed to be superimposed on the motion of large unstable ice masses. The value of their amplitude, frequency and phase are observed to be spatially homogeneous over the whole unstable ice mass. Inclusion of a respective term in the function describing the acceleration of unstable ice masses greatly increases the accuracy of the prediction.
    Print ISSN: 1023-5809
    Electronic ISSN: 1607-7946
    Topics: Geosciences , Physics
    Published by Copernicus on behalf of European Geosciences Union.
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  • 4
    Publication Date: 2023-08-09
    Description: Glacier and slope instabilities pose significant hazards in mountain areas, with a high potential impact on the population. Forecasting glacier and slope instabilities remains challenging as sensing technology focusing on the surface might fail to detect damage and changes in subsurface elastic properties leading to large-scale failures. Seismic methods, such as seismic interferometry, can help address this observational gap by quantifying changes in material integrity. Here, we discuss two case studies in which seismology elucidates the development of cryospheric hazards: a hanging glacier instability and permafrost degradation on an active rockslide. We first analyze seismic data from Switzerland's Eiger hanging glacier before a 15,000 m3 break-off event. Our approach, based on an analysis of multiple icequake waveforms, allows us to measure seismic source migration. Combined with an analytical model based on damage mechanics our results quantify crevasse extension between unstable and stable ice masses. We then move to the second study site, an active rock slope near "Spitze Stei" in the Kandersteg region, Switzerland. The time series of relative seismic velocity variations (dv/v) constrain the lateral and depth-dependent extent of changes in the rock's elastic properties caused by pore pressure increase and potentially by permafrost thawing. The presented case studies illustrate how seismology can give quantitative insights into material damage and allow separating effects of irreversible damage growth from reversible thermoelastic hydrologic variations. This knowledge is needed to better predict the development of large failures and thus improve warning systems.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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