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  • Data  (13)
  • Published Data from GFZ  (13)
  • EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT
  • 1
    facet.materialart.
    Unknown
    GFZ Data Services
    Publication Date: 2021-10-30
    Description: Abstract
    Description: The 3D geomechanical-numerical modelling of the in-situ stress state aims at a continuous description of the stress state in a subsurface volume. It requires observed stress information within the model volume that are used as a reference. Once the modelled stress state is in agreement with the observed reference stress data the model is assumed to provide the continuous stress state in its entire volume. The modelled stress state is fitted to the reference stress data records by adaptation of the displacement boundary conditions. This process is herein referred to as calibration. Depending on the amount of available stress data records and the complexity of the model the manual calibration is a lengthy process of trial-and-error modelling and analysis until best-fit boundary conditions are found. The Fast Automatic Stress Tensor Calibration (FAST Calibration) is a Python function that facilitates and speeds up this calibration process. By using a linear regression it requires only three model scenarios with different boundary conditions. The stress states from the three model scenarios at the locations of the reference stress data records are extracted. The differences between the modelled and observed stress states are used for a linear regression that allows to compute the displacement boundary conditions required for the best-fit modelled stress state. If more than one reference stress state is provided, the influence of the individual observed stress data records on the best-fit boundary conditions can be weighted.
    Description: Other
    Description: GNU General Public License, Version 3, 29 June 2007 Copyright © 2021 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany PyFAST Calibration is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. PyFAST Calibration is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
    Keywords: geomechanical-numerical model ; stress ; in-situ stress ; model calibration ; stress tensor calibration ; modelling tool ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 NEOTECTONICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 CRUSTAL MOTION 〉 CRUSTAL MOTION DIRECTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 PLATE BOUNDARIES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS
    Type: Software , Software
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  • 2
    Publication Date: 2021-11-30
    Description: Abstract
    Description: This data set provides two series of experiments from ring-shear tests (RST) on glass beads that are in use at the Helmholtz Laboratory for Tectonic Modelling (HelTec) at the GFZ German Research Centre for Geosciences in Potsdam. The main experimental series contains shear experiments to analyse the slip behaviour of the granular material under analogue experiment conditions. Additionally, a series of slide-hold-slide (SHS) tests was used to determine the rate and state friction properties. A basic characterisation and average friction coefficients of the glass beads are found in Pohlenz et al. (2020). The glass beads show a slip behaviour that is depending on loading rate, normal stress and apparatus stiffness which were varied systematically for this study. The apparatus was modified with springs resulting in 4 different stiffnesses. For each stiffness a set of 4 experiments with different normal stresses (5, 10, 15 and 20 kPa) were performed. During each experiment loading rate was decreased from 0.02 to 0.0008 mm/s resulting in 9 subsets of constant velocity for each experiment. We observe a large variety of slip modes that ranges from pure stick-slip to steady state creep. The main characteristics of these slip modes are the slip velocity and the ratio of slip event duration compared to no slip phases. We find that high loading rates promote stable slip, while low loading rates lead to stick-slip cycles. Lowering the normal stress leads to a larger amount of creep which changes the overall shape of a stick-slip curve and extends the time between slip events. Changing stiffness leads to an overall change in slip behaviour switching from simple stick-slip to more complex patterns of slip modes including oscillations and bimodal slip events with large and small events. The SHS tests were done at maximum stiffness and higher loading rates (〉0.05 mm/s) but at the same normal stress intervals as the main series. Using various techniques, we estimate the rate-and-state constitutive parameters. The peak stress after a certain amount of holding increases with a healing rate of b=0.0057±0.0005. From the increase in peak stress compared to the loading rate in slide-hold-slide tests we compute a direct effect a=-0.0076±0.0005 which leads to (a-b)=-0.0130±0.0006. Using a specific subset of the SHS tests, which have an equal ratio of hold time to reloading rate, we estimate (a-b)=-0.0087±0.0029. Both approaches show that the material is velocity weakening with a reduction in friction of 1.30 to 0.87 % per e-fold increase in loading rate. Additionally, the critical slip distance Dc is estimated to be in the range of 200 µm. With these parameters the theoretical critical stiffness kc is estimated and applied to the slip modes found in the main series. We find that the changes in slip mode are in good agreement with the estimated critical stiffness and thus confirm the findings from the SHS tests.
    Keywords: EPOS ; Rate-and-State Friction ; Slide-Hold-Slide Test ; European Plate Observing System ; multi-scale laboratories ; analogue models of geologic processes ; property data of analogue modelling materials ; software tools ; deformation 〉 shearing ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 SOIL MECHANICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT ; fault ; Force sensor ; Friction coefficient ; geolocical hydrogeological 〉 earthquake ; Microspheres 〉 Glassy ; Python ; Rate-state parameters ; Ring-shear tester
    Type: Dataset , Dataset
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  • 3
    Publication Date: 2022-03-10
    Description: Abstract
    Description: Stress maps show the orientation of the current maximum horizontal stress (SHmax) in the earth's crust. Assuming that the vertical stress (SV) is a principal stress, SHmax defines the orientation of the 3D stress tensor; the minimum horizontal stress Shmin is than perpendicular to SHmax. In stress maps SHmax orientations are represented as lines of different lengths. The length of the line is a measure of the quality of data and the symbol shows the stress indicator and the color the stress regime. The stress data are freely available and part of the World Stress Map (WSM) project. For more information about the data and criteria of data analysis and quality mapping are plotted along the WSM website at http://www.world-stress-map.org. The stress map of Great Britain and Ireland 2022 is based on the WSM database release 2016. All data records have been checked and we added a number of new data from earthquake focal mechanisms from the national earthquake catalog and borehole data. The number of data records has increased from n=377 in the WSM 2016 to n=474 in this map. Some locations and assigned quality of WSM 2016 data were corrected due to new information. The digital version of the map is a layered pdf generated with GMT (Wessel et al., 2019) using the topography of Tozer et al. (2019). We also provide on a regular 0.1° grid values of the mean SHmax orientation which have a standard deviation 〈 25°. The mean SHmax orientation is estimated using the tool stress2grid of Ziegler and Heidbach (2019). For this estimation we used only data records with A-C quality and applied weights according to data quality and distance to the grid points. The stress map is available at the landing page of the GFZ Data Services at http://doi.org/10.5880/WSM.GreatBritainIreland2022 where further information is provided.
    Description: Other
    Description: The World Stress Map (WSM) is a global compilation of information on the crustal present-day stress field. It is a collaborative project between academia and industry that aims to characterize the stress pattern and to understand the stress sources. It commenced in 1986 as a project of the International Lithosphere Program under the leadership of Mary-Lou Zoback. From 1995-2008 it was a project of the Heidelberg Academy of Sciences and Humanities headed first by Karl Fuchs and then by Friedemann Wenzel. Since 2009 the WSM is maintained at the GFZ German Research Centre for Geosciences and since 2012 the WSM is a member of the ICSU World Data System. All stress information is analysed and compiled in a standardized format and quality-ranked for reliability and comparability on a global scale.
    Keywords: crustal stress ; in situ stress ; tectonic stress ; crustal stress pattern ; geophysics ; tectonics ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 NEOTECTONICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS
    Type: Dataset , Dataset
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  • 4
    Publication Date: 2022-09-02
    Description: Abstract
    Description: This dataset includes video sequences and strain analysis of 12 analogue models studying crustal-scale deformation and basin reactivation, performed at the Laboratory of Tectonic modelling of the University of Rennes 1. These models show how parameters such as crustal strength, tectonic inheritance and boundary conditions (ishortening/ stretching) control both the distribution of crustal strain and the possibility for pre-existing structures to be reactivated. This dataset includes top-view movies of the 12 models, including strain analysis based on displacement vectors obtained from digital image correlation. Detailed descriptions of models can be found in Guillaume et al. (2022, special issue of Solid Earth on Analogue modelling of basin inversion) to which this dataset is supplementary.
    Keywords: analogue modelling ; solid earth ; tectonics ; basin inversion ; fault reactivation ; crustal strength ; tectonic inheritance ; shortening ; stretching ; EPOS ; multi-scale laboratories ; analogue models of geologic processes ; analogue modelling results ; Cohesion ; deformation 〉 fracturing ; deformation 〉 shearing ; Density ; Digital Image Correlation (DIC) / Particle Image Velocimetry (PIV) 〉 PIVlab ; earth interior setting 〉 crust setting 〉 continental-crustal setting 〉 foreland setting ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 CRUSTAL MOTION 〉 CRUSTAL MOTION DIRECTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 CRUSTAL MOTION 〉 CRUSTAL MOTION RATE ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT 〉 FAULT MOVEMENT DIRECTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRAIN ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS ; Electric engine (mm/hr) ; Foam rubber ; fold-and-thrust belt ; Friction coefficient ; graben ; graben ; normal fault ; Poisson ratio ; Sand 〉 Quartz Sand ; Sandbox 〉 Sandbox (cm scale) ; Silicon/Silly putty/PDMS ; SLR camera ; tectonic and structural features ; tectonic process 〉 continental_breakup 〉 rifting ; tectonic process 〉 continental_collision ; tectonic setting 〉 plate margin setting 〉 active continental margin setting ; thrust fault ; Time lapse camera ; Viscosity ; wrench fault
    Type: Dataset , Dataset
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  • 5
    Publication Date: 2022-09-22
    Description: Abstract
    Description: This dataset presents the raw data from two experimental series of analogue models and four numerical models performed to investigate Rift-Rift-Rift triple junction dynamics, supporting the modelling results described in the submitted paper. Numerical models were run in order to support the outcomes obtained from the analogue models. Our experimental series tested the case of a totally symmetric RRR junction (with rift branch angles trending at 120° and direction of stretching similarly trending at 120°; SY Series) or a less symmetric triple junction (with rift branches trending at 120° but with one of these experiencing orthogonal extension; OR Series), and testing the role of a single or two phases of extension coupled with effect of differential velocities between the three moving plates. An overview of the performed analogue and numerical models is provided in Table 1. Analogue models have been analysed quantitatively by means of photogrammetric reconstruction of Digital Elevation Model (DEM) used for 3D quantification of the deformation, and top-view photo analysis for qualitative descriptions. The analogue materials used in the setup of these models are described in Montanari et al. (2017), Del Ventisette et al. (2019) and Maestrelli et al. (2020). Numerical models were run with the finite element software ASPECT (e.g., Kronbichler et al., 2012; Heister et al., 2017; Rose et al., 2017).
    Keywords: tectonics ; solid Earth ; triple junctions ; analogue modelling ; physical modelling ; numerical modelling ; Digital Elevation Models ; photogrammetry ; faults ; faulting ; stress ; strain ; Red Sea ; Gulf of Aden ; Main Ethiopian Rift ; Afar ; EPOS ; multi-scale laboratories ; analogue models of geologic processes ; property data of analogue modelling materials ; analogue modelling results ; software tools ; compound material 〉 igneous material ; compound material 〉 rock ; compound material 〉 sedimentary material ; EARTH SCIENCE 〉 SOLID EARTH ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 CRUSTAL MOTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 LITHOSPHERIC PLATE MOTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 PLATE BOUNDARIES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRAIN ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS ; EARTH SCIENCE SERVICES 〉 MODELS 〉 DIGITAL ELEVATION/DIGITAL TERRAIN MODELS ; EARTH SCIENCE SERVICES 〉 MODELS 〉 GEOLOGIC/TECTONIC/PALEOCLIMATE MODELS ; experiment ; experiment 〉 laboratory experiment ; experiment 〉 simulation 〉 modelling ; experiment 〉 simulation 〉 modelling 〉 model ; geological process ; geological process 〉 seismic activity 〉 earthquake ; In Situ/Laboratory Instruments ; Models/Analyses ; monitoring ; monitoring 〉 monitoring technique ; monitoring 〉 monitoring technique 〉 photogrammetry ; parameter 〉 pixel ; parameter 〉 raster ; parameter 〉 resolution (parameter) ; Phanerozoic ; research ; research 〉 research project ; research 〉 scientific research ; science ; science 〉 natural science ; science 〉 natural science 〉 earth science 〉 geology ; science 〉 natural science 〉 earth science 〉 geology 〉 tectonics ; science 〉 natural science 〉 earth science 〉 geophysics
    Type: Dataset , Dataset
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  • 6
    Publication Date: 2022-09-23
    Description: Abstract
    Description: This interactive webpage contains supplementary information for the publication by Jamalreyhani et al., 2020: Seismicity related to the eastern sector of Anatolian escape tectonics: A seismic gap partly filled by the 24 January 2020 Mw 6.8 Elazığ-Sivrice earthquake.
    Description: Methods
    Description: The analysis has been performed using the Grond software package (Heimann et al., 2018). The open source software for seismic source parameter optimization Grond implements a bootstrap-based method to retrieve solution sub-spaces, parameter trade-offs and uncertainties of earthquake source parameters. Green's functions (GFs) for three different velocity models were calculated with the orthonormal propagator method (QSEIS, Wang, 1999; see https://github.com/pyrocko/fomosto-qseis/). All GFs are stored in Pyrocko GF stores (Pyrocko toolbox, Heimann et al., 2017, Heimann et al. 2019). Green's functions were computed employing a tapered Heaviside wavelet, a sample rate of 25 Hz and a grid spacing of 50 m allowing for interpolation of Green's functions between nodes. The databases comprise source depths from 1 to 4 km and receiver depths from 0 to 200 m. We used a nearest neighbor interpolation inbetween grid points of the pre-computed GFs.
    Keywords: finite fault inversion ; moment tensor inversion ; seismology ; Earth Remote Sensing Instruments 〉 Active Remote Sensing 〉 Imaging Radars ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 CRUSTAL MOTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Other , Other
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  • 7
    Publication Date: 2022-09-26
    Description: Abstract
    Description: This dataset includes video sequences depicting the evolution in map view and lateral view of 7 analogue experiments studying mantle-scale subduction systems. The experiments are performed under a natural gravity field and are designed to understand the role of convergence obliquity on upper plate deformation and partitioning, with a particular emphasis on the role played by lithospheric inherited structures on the development of sliver tectonics. All experiments were performed at the Laboratory of Tectonic modelling of the University of Rennes 1 (France). The experimental set-up corresponds to a lithosphere and sub-lithospheric upper mantle system. The lithospheric plates are simulated with PDMS silicone (Polydimethylsiloxane Silicone) with different viscosities and densities, and the upper mantle with glucose syrup. In particular, for the overriding plate, we simulate the presence of a weaker volcanic arc that can eventually be decoupled from the forearc by a pre-existing discontinuity. The materials are placed into a Plexiglas tank, where the impermeable bottom of the tank represents the 660 km discontinuity. The subduction is initiated by manually forcing the slab into the mantle and it then evolves under the combined effects of internal buoyancy forces (slab pull) and external boundary forces. The subducting plate is pushed toward the trench at a constant velocity of 1.5 cm/min while the overriding plate is maintained fixed during the duration of the experiments. The evolution of the experiments is monitored by DSLR cameras (24 Mpx) taking pictures every 30 seconds at the top and on one side of the experiments. Pictures are then assembled into video-sequences. The scale bar, with black & white rectangles corresponds to 10 cm. The set of experiments consists of one reference model (MODEL-01) with orthogonal convergence, and six models with oblique convergence (Table 1). Among these models, three do not embed a pre-existing lithospheric discontinuity in the overriding plate (MODEL-02, MODEL-03, and MODEL-04) while the three other (MODEL-05, MODEL-06, and MODEL-07) have such a discontinuity. For the models with oblique convergence, we vary the angle between the convergence direction and the trench from 80° (MODEL-02 and MODEL-05) to 60° (MODEL-03 and MODEL-06) and 50° (MODEL-04 and MODEL-07). For details on the experimental set-up, and interpretation of the results, please refer to Suárez et al. (submitted to Tectonophysics) to which these data are supplementary material.
    Keywords: Subduction experiments ; Trench-oblique convergence ; Analogue models ; Sliver tectonics ; Vorticity number ; Strike-slip ; Thrusting ; Cenozoic times ; Patagonian Andes ; Inherited anisotropies ; Lithospheric strain ; Slab dip variations ; PIVLab software ; Trac-Trac software ; SSPX software ; Strain tensor ; Subduction dynamics ; Fold and thrust belt ; Interplate friction ; Strain partitioning ; Shear force ; Trench-parallel motion ; Liquiñe-Ofqui fault system ; Slab roll-back ; Trench retreat ; Nazca plate ; Traiguén basin ; Chile triple junction ; EPOS ; multi-scale laboratories ; analogue models of geologic processes ; property data of analogue modelling materials ; analogue modelling results ; software tools ; deformation 〉 ductile flow ; Density ; Digital Image Correlation (DIC) / Particle Image Velocimetry (PIV) ; Digital Image Correlation (DIC) / Particle Image Velocimetry (PIV) 〉 Matlab code ; Digital Image Correlation (DIC) / Particle Image Velocimetry (PIV) 〉 PIVlab ; earth interior setting 〉 mantle setting ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 CRUSTAL MOTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 LITHOSPHERIC PLATE MOTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 PLATE BOUNDARIES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRAIN ; fault ; fault 〉 strike-slip fault ; Golden syrup ; Matlab (Mathworks) ; Silicon/Silly putty/PDMS ; SLR camera ; Subduction box ; tectonic process 〉 subduction ; tectonic setting 〉 plate margin setting 〉 subduction zone setting ; Time lapse camera ; trench ; Viscosity
    Type: Dataset , Dataset
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  • 8
    facet.materialart.
    Unknown
    GFZ Data Services
    Publication Date: 2023-02-24
    Description: Abstract
    Description: The classical way to model the stress state in a rock volume is to estimate displacement boundary conditions that minimize the deviation of the modelled stress state with respect to model-independent stress information such as stress magnitude data. However, these data records are usually subject to significant uncertainties and measurement errors. Hence, it has to be expected that not all stress magnitude data records are representative and can be used in a model. In order to identify unreliable stress data records, the stress state that is based on individual data records is solved and compared with observations at a few discrete locations. While this method works, it is not efficient in that most of the solved model scenarios will be discarded. The solving of the entire model consumes immense amount of computation time for a high-resolution model. Yet, the stress state is required at only a very limited number of locations. For linear geomechanical models it is sufficient to estimate the stress state from three model scenarios with arbitrary, but different displacement boundary conditions. These three results can be used to estimate analytically using a linear regression at discrete points stress states based on user-defined boundary conditions. The tool Fast Automatic Stress Tensor Estimation (FAST Estimation) is a Python function that automatizes this approach. FAST Estimation provides very efficiently the stress states at pre-defined locations for all possible boundary conditions. It does not provide the continuous stress field as provided by a solved geomechanical model. Instead, it is a cost-efficient solution for the rapid assessment of stress states at a limited number of discrete locations based on pre-defined boundary conditions.
    Description: Other
    Description: Copyright © 2023 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany FAST Estimation is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. FAST Estimation is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/.
    Keywords: geomechanical-numerical model ; stress ; in-situ stress ; model calibration ; stress tensor calibration ; modelling tool ; model quality assessment ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 NEOTECTONICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 CRUSTAL MOTION 〉 CRUSTAL MOTION DIRECTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 PLATE BOUNDARIES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS
    Type: Software , Software
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  • 9
    Publication Date: 2023-03-10
    Description: Abstract
    Description: This data set provides a series of experiments from ring-shear tests (RST) on various materials that are used at several laboratories worldwide. The data contains the results of slide-hold-slide tests and the processed outputs of standardized ring shear tester data from related publications. Additionally, microscopy images of the materials under plain and polarized light are provided. The time dependent restrengthening of the materials is quantified using slide-hold-slide tests. This restrengthening has implications on the reactivation potential of granular shear zones in analogue models. With the provided software we first analyze the experimental data and then compare the angles and stresses needed to reactivate normal faults in the materials. We find that while healing rates are low, the majority of samples can not reactivate normal faults that are generated through extension of an analogue model.
    Keywords: Analogue Model ; Rate-and-State Friction ; Slide-Hold-Slide Test ; Basin Inversion ; Fault Reactivation ; EPOS ; multi-scale laboratories ; analogue models of geologic processes ; property data of analogue modelling materials ; deformation 〉 shearing ; EARTH SCIENCE 〉 LAND SURFACE 〉 SOILS 〉 SOIL MECHANICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT ; fault ; Force sensor ; Friction coefficient ; Microspheres 〉 Glassy ; Python ; Rate-state parameters ; Ring-shear tester
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  • 10
    Publication Date: 2023-11-14
    Description: Abstract
    Description: Interferometric East and Up rate maps based on time-series analysis of ~5 years of Sentinel-1 radar data provide an unprecedented spatial (~400 m) resolution of the recend surface deformation of the Tajik fold-and-thrust-belt and the greater Pamir area. Among other the data exhibit E-W shortening in the fold-thrust-belt, slip activity of the Babadag thrust fault and the Ilyak strike-slip fault, westward Pamir escape tectonics, halokinesis and near-surface, water-driven effects. Observations and methodology are discussed at length in Metzger et al., 2021 (under Review).
    Description: Methods
    Description: Pre-processed interferograms of 13 Sentinel-1 radar frames serve as the input data for a framewise small-baseline time-series analysis using the LiCSAR/LiCSBAS data processing chain (Lazecky et al., 2020, Morishita et al., 2020). The resulting rate maps in line-of-sight were first tied to the Eurasian-fixed reference frame spanned by available regional GNSS data. If data from two view directions were available, they were decomposed in east and up by fixing the north rates to the interpolated GNSS north rates (Ou, 2020).
    Description: TableOfContents
    Description: The zip-folder contains 1) the framewise rates and uncertainties and corresponding line-of-sight (LOS) information, all labelled by frame numbers, 2) the interpolated north rates based on Eurasian-fixed GNSS and 3) the concatenated and decomposed east and up rates in a Eurasian-fixed reference frame. A GMT script (Wessel & Smith, 2013, v6.0.0) and corresponding Figures serve as an example on how to plot the data.
    Keywords: InSAR ; LiCSBAS ; LiCSAR ; time-series analysis ; NSBAS ; line-of-sight (LOS) ; Earth Remote Sensing Instruments 〉 Active Remote Sensing 〉 Imaging Radars 〉 SENTINEL-1 C-SAR ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 NEOTECTONICS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 CRUSTAL MOTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FAULT MOVEMENT ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 FOLDS ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 PLATE BOUNDARIES ; Navigation Platforms 〉 GPS (Global Positioning System)
    Type: Dataset , Dataset
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