ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Publication Date: 2022-01-05
    Description: Abstract
    Description: The southern Central Andes (SCA, 29°S-39°S) are characterized by the subduction of the oceanic Nazca Plate beneath the continental South American Plate. One striking feature of this area is the change of the subduction angle of the Nazca Plate between 33°S and 35°S from the Chilean-Pampean flat-slab zone (〈 5° dip) in the north to a steeper sector in the south (~30° dip). Subduction geometry, tectonic deformation, and seismicity at this plate boundary are closely related to the lithospheric strength in the upper plate. Despite recent research focused on the compositional and thermal characteristics of the SCA lithosphere, the lithospheric strength distribution remains largely unknown. Here we calculated the long-term lithospheric strength on the basis of an existing 3D model describing the variation of thickness, density and temperature of geological units forming the lithosphere of the SCA. The model consists of a continental plate with sediments, a two-layer crust and the lithospheric mantle being subducted by an oceanic plate. The model extension covers an area of 700 km x 1100 km, including the orogen (i.e. magmatic arc, main orogenic wedge), the forearc and the foreland, and it extents down to 200 km depth.
    Description: Methods
    Description: To compute the lithospheric strength distribution in the SCA, we used the geometries and densities of the units forming the 3D lithospheric scale model of Rodriguez Piceda et al. (2020a,b). The units considered for the rheological calculations are (1) oceanic and continental sediments; (3) upper continental crystalline crust; (4) lower continental crystalline crust; (5) continental lithospheric mantle (6) shallow oceanic crust; (7) deep oceanic crust; (8) oceanic lithospheric mantle; and (9) oceanic sub-lithospheric mantle. The thermal field was derived from a temperature model of the SCA (Rodriguez Piceda et al. under review) covering the same region as the structural model of Rodriguez Piceda et al. (2020a). To calculate the temperature distribution in the SCA, the model volume was split into two domains: (1) a shallow domain, including the crust and uppermost mantle to a depth of ~50 km below mean sea level (bmsl), where the steady-state conductive thermal field was calculated using as input the 3D structural and density model of the area of Rodriguez Piceda et al. (2020b, a) and the finite element method implemented in GOLEM (Cacace and Jacquey 2017); (2) a deep domain between a depth of ~50 and 200 km bmsl, where temperatures were converted from S wave seismic velocities using the approach by Goes et al. (2000) as implemented in the python tool VelocityConversion (Meeßen 2017). Velocities from two alternative seismic tomography models were converted to temperatures (Assumpção et al. 2013; Gao et al. 2021). A detailed description of the method can be found in Rodriguez Piceda et al. (under review). The yield strength of the lithosphere (i.e. maximum differential stress prior to permanent deformation) was calculated using the approach by Cacace and Scheck-Wenderoth (2016). We assumed brittle-like deformation as decribed by Byerlee’s law (Byerlee 1968) and steady state creep as the dominant form of viscous deformation. Low-temperature plasticity (Peierls creep) at differential stresses greater than 200 MPa was also included (Goetze et al. 1978; Katayama and Karato 2008). In addition, effective viscosities were computed from a thermally activated power-law (Burov 2011) We assigned rheological properties to each unit of the model on the basis of laboratory measurements (Goetze and Evans 1979; Ranalli and Murphy 1987; Wilks and Carter 1990; Gleason and Tullis 1995; Hirth and Kohlstedt 1996; Afonso and Ranalli 2004). These properties were chosen, in turn, based on the dominant lithology of each layer derived from seismic velocities and gravity-constrained densities. More methodological details and a table with the rheological properties are depicted in Rodriguez Piceda et al. (under review). The rheological results using the thermal model derived from the seismic tomography of Assumpção et al. (2013) and Gao et al. (2021) can be found in Rodriguez Piceda et al. (under review, under review), respectively
    Description: Other
    Description: Two comma-separated files can be found with the calculated lithospheric temperature, strength and effective viscosity for all the points in the model (2,274,757). These points are located at the top surface of each model unit. Therefore, the vertical resolution of the model is variable and depends on the thickness and refinement of the structural modelled units. SCA_RheologicalModel_V01.csv corresponds to the results using the mantle thermal field from the tomography by Assumpção et al. (2013) and presented in Rodriguez Piceda et al. (under review). SCA_RheologicalModel_V02.csv includes the results using the mantle thermal field of Gao et al. (2021) and presented in Rodriguez Piceda et al. (under review). Each of these files contains the following columns: -Northing as " X COORD (m [UTM Zone 19S]) " -Easting as " Y COORD (m [UTM Zone 19S]) " -Depth to the top surface as " Z COORD (m.a.s.l.)" -Temperature in degree Celsius as " TEMP (deg. C) " -Yield strength in MPa as “STRENGTH (MPa)” -Effective viscosity in base-10 logarithm of Pa*s as “EFF VISCOSITY (log10(Pa*s))” The dimensions of the model is 700 km x 1100 km x 200 km. The horizontal resolution is 5 km, while the vertical resolution depends on the thickness of the structural units.
    Keywords: Lithosphere ; Rheology ; Subduction ; Andes ; EARTH SCIENCE ; EARTH SCIENCE 〉 SOLID EARTH ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC LANDFORMS 〉 MOUNTAINS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 SUBDUCTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 PLATE TECTONICS 〉 STRESS
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2022-01-05
    Description: Abstract
    Description: The Central Andean orogen formed as a result of the subduction of the oceanic Nazca plate beneath the continental South-American plate. In the southern segment of the Central Andes (SCA, 29°S-39°S), the oceanic plate subducts beneath the continental plate with distinct dip angles from north to south. Subduction geometry, tectonic deformation, and seismicity at this plate boundary are closely related to lithospheric temperature distribution in the upper plate. Previous studies provided insights into the present-day thermal field with focus on the surface heat flow distribution in the orogen or through modelling of the seismic velocity distribution in restricted regions of the SCA as indirect proxy of the deep thermal field. Despite these recent advances, the information on the temperature distribution at depth of the SCA lithosphere remains scarcely constrained. To gain insight into the present-day thermal state of the lithosphere in the region, we derived the 3D lithospheric temperature distribution from inversion of S-wave velocity to temperature and calculations of the steady state thermal field. The configuration of the region – concerning both, the heterogeneity of the lithosphere and the slab dip – was accounted for by incorporating a 3D data-constrained structural and density model of the SCA into the workflow (Rodriguez Piceda et al. 2020a-b). The model consists on a continental plate with sediments, a two-layer crust and the lithospheric mantle being subducted by an oceanic plate. The model extension covers an area of 700 km x 1100 km, including the orogen (i.e. magmatic arc, main orogenic wedge), the forearc and the foreland, and it extents down to 200 km depth.
    Description: Methods
    Description: To predict the temperature distribution in the SCA, the model volume was subdivided into two domains: (1) a shallow domain, including the crust and uppermost mantle to a depth of ~50 km below mean sea level (bmsl), where the steady-state conductive thermal field was calculated using as input the 3D structural and density model of the area (Rodriguez Piceda et al., 2020a-b); (2) a deep domain between a depth of ~50 and 200 km bmsl, where temperatures were converted from S wave seismic velocities (Assumpção et al., 2013) using the approach by Goes et al. (2000) as implemented in the python tool VelocityConversion (Meeßen 2017). The 3D model of Rodriguez Piceda et al. (2020) consists of the following layers: (1) water; (2) oceanic sediments; (3) continental sediments; (4) upper continental crystalline crust; (5) lower continental crystalline crust; (6) continental lithospheric mantle (7) shallow oceanic crust; (8) deep oceanic crust; (9) oceanic lithospheric mantle; and (10) oceanic sub-lithospheric mantle. For the computation of temperatures in the shallow domain, three main modifications were made to the 3D model of Rodriguez Piceda et al. (2020a-b). First, we removed the water layer thus considering the topography/bathymetry as the top of the model. Second, the horizontal resolution was increased to 5 km and, third, the layers were vertically refined by a factor of 3 to 32. We assigned constant thermal properties (bulk conductivity λ and radiogenic heat production S) to each layer of the model according to each lithology (Alvarado et al. 2007, 2009; Ammirati et al. 2013, 2015, 2018; Araneda et al., 2003; Brocher, 2005; Čermák and Rybach, 1982; Contreras-Reyes et al., 2008; Christensen & Mooney, 1995; Gilbert et al., 2006; Hasterok & Chapman, 2011; He et al., 2008; Marot et al., 2014, Pesicek et al., 2012; Rodriguez Piceda et al., 2020; Scarfi & Barbieri, 2019; Vilà et al.,2010; Wagner et al., 2005; Xu et al., 2004). The steady-state conductive thermal field in the shallow domain was calculated applying the Finite Element Method as implemented in the software GOLEM (Cacace & Jacquey, 2017; Jacquey & Cacace, 2017). For the computation, we assigned fixed temperatures along the top and base of the model as thermal boundary conditions. The upper boundary condition was set at the topography/bathymetry and it is the temperature distribution from the ERA-5 land data base (Muñoz Sabater, 2019). The lower boundary condition was set at a constant depth of 50 km bmsl for areas where the Moho is shallower than 50 km bmsl and at the Moho depth proper where this interface is deeper than the abovementioned threshold. The temperature distribution at this boundary condition was calculated from the conversion of S-wave velocities to temperatures (Assumpção et al., 2013).
    Keywords: Lithosphere ; Andes ; Subduction ; Thermal Model ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC LANDFORMS 〉 MOUNTAINS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 SUBDUCTION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL TEMPERATURE ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOTHERMAL DYNAMICS 〉 GEOTHERMAL TEMPERATURE 〉 TEMPERATURE PROFILES ; EARTH SCIENCE 〉 SOLID EARTH 〉 ROCKS/MINERALS/CRYSTALS 〉 SEDIMENTS ; EARTH SCIENCE SERVICES 〉 MODELS 〉 GEOLOGIC/TECTONIC/PALEOCLIMATE MODELS
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 3
    Publication Date: 2022-01-20
    Description: Abstract
    Description: This dataset includes raw data used in the paper by Reitano et al. (2022), focused on the effect of boundary conditions on the evolution of analogue accretionary wedges affected by both tectonics and surface processes; the paper also focuses on the balance between tectonics and surface processes as a function of the boundary conditions applied. These boundary conditions are convergence velocity and basal slope (i.e., the tilting toward the foreland imposed prior the experimental run). The experiments have been carried out at Laboratory of Experimental Tectonics (LET), University “Roma Tre” (Rome). Detailed descriptions of the experimental apparatus and experimental procedures implemented can be found in the paper to which this dataset refers. Here we present: •Pictures recording the evolution of the models. •GIFs showing time-lapses of models. •Raw DEMs of the models and Incision DEMs, used for extracting data later discusses in the paper.
    Description: Methods
    Description: We took digital images during the evolution of the experiments. These images are stored in the “2021-041_Reitano-et-al_Pictures_and_GIFs” folder. Digital Images The qualitative evolution of the analogue models has been recorded using a digital oblique-view camera (Canon EOS 200D). Digital pictures have not been modified with other imaging software. Data from models' surface Laser scan provides a point cloud, composed by x, y, z coordinated of the points composing the model surface (the number of points is function of the laser resolution). The laser scans are converted to raw DEMs, here stored in the “DEMs” folder. For making the file easily readable to GIS software, data are expressed in m (100 m = 1 mm, see scaling section in the main paper). Bottom left corner in the DEMs is randomly chosen to be -70 ∙ 103 m. No data values equal to -9999. Cell size is 100 m (1 mm in the models). Incision and Mass Balance The .txt files inside the “2021-041_Reitano-et-al_DEMs” folder named “CR****_dem**clip” has been used for producing Fig. 6, 8, 10, and S3 in Reitano et al. (2021). From these DEMs we calculated the Mass Balance, as described in the paper this repository refers to. The .txt files named “CR****_inc**ok” have been used for calculating the incision values shown in Fig. 5 and 7 in Reitano et al. (2021). To obtain incision maps and incision over time, the volume of material incised was computed by comparing the actual topography with the reconstructed non-eroded surface at every shortening step. The non-eroded surface has been calculated by creating an envelope surface using crest lines between valleys as constraints (the assumption is that crests do not erode). The results are then a minimum estimate of the amount of incision.
    Keywords: Tectonics ; Erosion ; Sedimentation ; Mass Balance ; Analogue models ; EPOS ; multi-scale laboratories ; analogue models of geologic processes ; property data of analogue modelling materials ; analogue modelling results ; software tools ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL LANDFORMS 〉 FLOOD PLAIN ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL LANDFORMS 〉 RIVER ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL LANDFORMS 〉 STREAM ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL LANDFORMS 〉 VALLEY ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL LANDFORMS 〉 WATERSHED/DRAINAGE BASINS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL PROCESSES 〉 SEDIMENT TRANSPORT ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL PROCESSES 〉 SEDIMENTATION ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 FLUVIAL PROCESSES 〉 WEATHERING ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC LANDFORMS 〉 MOUNTAINS ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 OROGENIC MOVEMENT ; EARTH SCIENCE 〉 SOLID EARTH 〉 GEOMORPHIC LANDFORMS/PROCESSES 〉 TECTONIC PROCESSES 〉 TECTONIC UPLIFT ; hydrosphere 〉 water (geographic) 〉 surface water ; science 〉 natural science 〉 earth science 〉 geology 〉 tectonics
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 4
    Publication Date: 2022-03-31
    Description: Abstract
    Description: This dataset includes the results of Particle Image Velocimetry (PIV) of one experiment on subduction megathrust earthquakes (with interacting asperities) performed at the Laboratory of Experimental Tectonics (LET) Univ. Roma Tre in the framework of AspSync, the Marie Curie project (grant agreement 658034; https://aspsync.wordpress.com). Detailed descriptions of the experiments and monitoring techniques can be found in Corbi et al. (2017). This data set is from one experiment characterized by the presence of a 7 cm wide barrier separating two asperities with equal size, geometry and friction. Here we provide PIV data relative to a 16.3 min long interval during which the experiment produces 138 analog earthquakes with an average recurrence time of 7 s. The PIV analysis yields quantitative information about the velocity field characterizing two consecutive frames, measured in this case at the model surface. For a detailed description of the experimental procedure, set-up and materials used, please refer to the article of Corbi et al. (2017) paragraph 2. This data set has been used for: a) studying velocity variations (Fig. 2 in Corbi et al., 2021) and rupture patterns (Fig. 3a, b in Corbi et al., 2021) occurring during the velocity peak of one of the two asperities (aka trigger).
    Description: Methods
    Description: The evolution of the analog model was monitored with a digital top-view camera (PIKE-ALLIED with resolution 1600 × 1200 pixels), capturing one frame every 0.133 s. Digital images were then analyzed with MatPIV (Sveen, 2004), which is an open-source software for PIV running under the MATLAB package. This software uses a cross-correlation technique that allows calculating horizontal components (i.e., on the image plane) of surface displacement with about one tenth of a pixel of accuracy. We used the multi-pass protocol with window size of 128 x 128 pixels and 64 x 64 pixels and 50% overlap. Other information e.g., surface displacement can be easily computed from the velocity field knowing the time between frames.
    Keywords: analogue models of geologic processes ; subduction megathrust earthquakes ; asperities ; multi-scale laboratories ; EPOS ; Analog modelling results ; Software tools ; deformation ; geologic process ; tectonic process ; subduction ; Digital Image Correlation (DIC) / Particle Image Velocimetry (PIV) 〉 MatPIV ; Earthquake simulator ; Wedge simulator ; Gelatine ; plate margin setting ; subduction zones ; thrust fault ; Videocamera ; EARTH SCIENCE 〉 SOLID EARTH ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 EARTHQUAKE OCCURRENCES ; geological process 〉 seismic activity ; geological process 〉 seismic activity 〉 earthquake ; science 〉 natural science 〉 earth science ; science 〉 natural science 〉 earth science 〉 geophysics
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 5
    Publication Date: 2022-11-28
    Description: Abstract
    Description: This dataset contains data of a reflection seismic profile in North-Western Namibia. The measurements were carried out in continuation of the LISPWAL project aiming to decipher the lithospheric structure of the Namibian passive margin at the intersection with the Walvis Ridge (Ryberg et al., 2014a, b; 2015). Scientific aims were a) to produce a high-resolution image of the reflectivity of the lower-crustal high-velocity body revealed by wide-angle observations; b) an improved understanding of how continental crust and plume head interact, c) to investigate what the extent and volumes of magmatic underplating are, and d) to understand how and which inherited (continental) structures might have been involved and utilized in the break up process. The dataset contains seismic data, including raw and SEG Y files, of the controlled-source survey in North-Western Namibia (Kaokoveld) using near-vertical reflection seismic methods.
    Description: Other
    Description: The Geophysical Instrument Pool Potsdam (GIPP) provides field instruments for (temporary) seismological studies (both controlled source and earthquake seismology) and for magnetotelluric (electromagnetic) experiments. The GIPP is operated by the GFZ German Research Centre for Geosciences. The instrument facility is open for academic use. Instrument applications are evaluated and ranked by an external steering board. See Haberland and Ritter (2016) and https://www.gfz-potsdam.de/gipp for more information.
    Keywords: geophysics ; controlled-source seismic survey ; onshore ; offshore ; continental margin ; Namibia ; Walvis Ridge ; EARTH SCIENCE 〉 SOLID EARTH ; In Situ/Laboratory Instruments 〉 Profilers/Sounders 〉 SEISMIC REFLECTION PROFILERS
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 6
    Publication Date: 2022-11-28
    Description: Abstract
    Description: The stations are part of a seismic network in the Helsinki capital area of Finland in 2020. The stations recorded the response to a second stimulation of a ∼ 6 km deep enhanced geothermal system in the Otaniemi district of Espoo that followed on the first larger stimulation in 2018. The second stimulation from 6 May to 24 May 2020 established a geothermal doublet system. The Institute of Seismology, University of Helsinki (ISUH), installed the 70 GIPP-provided geophones in addition to surface broadband sensors, ISUH-owned short-period instruments, and a borehole satellite network deployed by the operating company. The data set consists of raw CUBE-recorder data and converted MSEED data. The data set has been collected to underpin a wide range of seismic analysis techniques for complementary scientific studies of the evolving reservoir processes and the induced event properties. These should inform the legislation and educate the public for transparent decision making around geothermal power generation in Finland. The full 2020 network and with it the deployment of the CUBE stations is described in a Seismological Research Letter Data Mine Column by A. Rintamäki et al. (2021).
    Description: Other
    Description: The Geophysical Instrument Pool Potsdam (GIPP) provides field instruments for (temporary) seismological studies (both controlled source and earthquake seismology) and for magnetotelluric (electromagnetic) experiments. The GIPP is operated by the GFZ German Research Centre for Geosciences. The instrument facility is open for academic use. Instrument applications are evaluated and ranked by an external steering board. See Haberland and Ritter (2016) and https://www.gfz-potsdam.de/gipp for more information.
    Keywords: Geothermal system ; geothermal reservoir ; stimulation ; induced seismicity ; induced earthquakes ; Fennoscandian shield ; earthquake monitoring ; seismic arrays ; array seismology ; array of arrays ; Finland ; Helsinki] ; EARTH SCIENCE 〉 SOLID EARTH ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES ; EARTH SCIENCE 〉 SOLID EARTH 〉 TECTONICS 〉 EARTHQUAKES 〉 SEISMIC PROFILE ; geology
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 7
    facet.materialart.
    Unknown
    GFZ Data Services
    Publication Date: 2022-11-29
    Description: Abstract
    Description: The Villarrica Volcano is one of the most active volcanoes in South America and is located in a major tourism region. A dense temporal seismological network was installed to investigate the volcanic seismicity and the seismic structure of the edifice with seismic traveltime tomography at high spatial resolution. The network was in operation for 2 weeks from 01.03.2012 to 14.03.2012. It consisted of 30 three-component and 45 one-component short period seismographs covering an area of about 2000 km2. The covered area has a diameter of 45 km and includes the volcanic building.
    Description: Other
    Description: The Geophysical Instrument Pool Potsdam (GIPP) provides field instruments for (temporary) seismological studies (both controlled source and earthquake seismology) and for magnetotelluric (electromagnetic) experiments. The GIPP is operated by the GFZ German Research Centre for Geosciences. The instrument facility is open for academic use. Instrument applications are evaluated and ranked by an external steering board. See Haberland and Ritter (2016) and https://www.gfz-potsdam.de/gipp for more information.
    Keywords: geophysics ; Volcano seismology ; seismic tomography ; seismotectonics ; PASSIVE_SEISMIC 〉 NETWORK ; SENSOR 〉 GEOPHONE ; SENSOR 〉 3-C ; LAND ; MINISEED_DATA_FORMAT ; SEISMIC_WAVEFORM_DATA ; EARTH SCIENCE 〉 SOLID EARTH ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS
    Type: Dataset , Dataset
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...