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12 results for “S-wave velocity”
3D S-wave velocity profiles with random fields
<p>This dataset contains 100,000 3D matrices representing S-wave velocity profiles with random fields. The spatial resolution corresponds to a grid of 9.6 x 9.6 x 9.6km with a spatial step of 300m (matrices are of size 33 x 33 x 33). Velocities go from 1,071 to 4,500m/s.</p> <p>Each profile contains a 1.8km-thick bottom layer at constant velocity 4500m/s. Above, the profile contains between 1 and 6 layers of random thickness. In each layer, the mean velocity is chosen uniformly in [1,785; 3,214m/s] and the coefficient of variation follows a Gaussian distribution N(0.2; 0.1). Then, a correlation length is chosen randomly among 1.5, 3, 4.5, 6 km in all three directions for each layer.</p> <p>The random fields' kernel has a von Karman correlation with a Hurst exponent of 0.1 and log-normal marginal distributions.</p>
Cross-spectra used in "Detailed S-wave velocity structure of sediment and crust off Sanriku, Japan by a new analysis method for distributed acoustic sensing data using a seafloor cable and seismic interferometry"
<p>Cross-spectra used in "Detailed S-wave velocity structure of sediment and crust off Sanriku, Japan, derived from distributed acoustic sensing data collected using a seafloor cable with seismic interferometry", by Shun Fukushima, Masanao Shinohara, Kiwamu Nishida, Akiko Takeo, Tomoaki Yamada, and Kiyoshi Yomogida </p> <p>For more information, please contact Shun Fukushima (s-fuku@eri.u-tokyo.ac.jp)</p>
Three-dimensional anisotropic phase velocity and S-wave velocity models in Northeastern Tibet
<p>This supplementary material contains three parts.</p> <p>The file named "COR_XM2_all.tar.gz" contains the ambient noise cross-correlation waveforms of the Rayleigh wave.</p> <p>The file named "phase_velocity.rar" contains the anisotropic phase velocity using double beamforming tomography (DBF) method.</p> <p>The file named "Anisotropic_Vs_model.rar" contains the anisotropic S-wave velocity models.</p>
Seismic Velocity Model of P- and S-waves for the Italian Lithosphere
<p>P- and S- seismic waves 3D velocity model of the Italian Lithosphere obtained by linearized seismic local earthquake tomography (LET) method by <a href="https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/92JB00603">Zhao et al., 1992</a>.</p> <p>The inversion for the model parameters is performed using a combination of pseudo-bending and Snell's Law for ray tracing on a 3D grid of nodes on spherical coordinates and the LSQR algorithm by <a href="https://dl.acm.org/doi/10.1145/355984.355989">Page and Saunders, 1982</a>. The method allows to model first order seismic discontinuities like the Moho, for which the Moho for the Italian region by <a href="https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2011GC003649">Di Stefano et al., 2011</a>.</p> <p>A previous version of the same tomographic inversion was produced and discussed in <a href="https://www.sciencedirect.com/science/article/abs/pii/S0264370714001306?via%3Dihub">Di Stefano and Ciaccio, 2014</a> but not released in digital file format.</p> <p>The present file is an updated version of the model by <a href="https://www.sciencedirect.com/science/article/abs/pii/S0264370714001306?via%3Dihub">Di Stefano and Ciaccio, 2014</a>, based on a slightly different gridding but with the same P- and S- travel-times and earthquakes locations dataset.</p> <p>The model is here released in csv, pipe (|) separated, file.</p> <p><strong>Header Explanation</strong></p> <ul> <li><strong>lon</strong>: longitude in decimal degrees positive eastward from Greenwich</li> <li><strong>lat</strong>: latitude in decimal degrees positive northward</li> <li><strong>depth</strong>: depth in km positive downward</li> <li><strong>type</strong>: type of model parameter (vp= P-wave velocity; vs= S-wave velocity)</li> <li><strong>value</strong>: seismic velocity value</li> <li><strong>units</strong>: units measure of the velocity value</li> </ul> <p>The external bounding box of the model is:</p> <ul> <li>Minimum Longitude = 5°E</li> <li>Maximum Longitude = 20°E</li> <li>Minimum Latitude = 36°N</li> <li>Maximum Latitude = 48°N</li> <li>Minumum Depth = 0 km</li> <li>Maximum Depth = 80 km</li> </ul> <p>Lines 2 to 43093 report the Vp model</p> <p>Lines 43094 to 86185 report the Vs model</p>
Supplemental dataset from: Initial acoustoelastic measurements in olivine: Investigating the effect of stress on P- and S-wave velocities
<p>It is well known that elasticity is a key physical property in the determination of the structure and composition of the Earth and provides critical information for the interpretation of seismic data. This study investigates the stress-induced variation in elastic wave velocities, known as the acoustoelastic effect, in San Carlos olivine. A recently developed experimental ultrasonic acoustic system, the Directly Integrated Acoustic System Combined with Pressure Experiments (DIASCoPE), was used with the D-DIA multi-anvil apparatus to transmit ultrasonic sound waves and collect the reflections. We use the DIASCoPE to obtain longitudinal (P) and shear (S) elastic wave velocities from the sample which we compare to our known stress state in the D-DIA derived from synchrotron X-ray diffraction. We use elastic-plastic self-consistent (EPSC) numerical modeling to forward model X-ray diffraction data collected in D-DIA experiments to obtain the macroscopic stress on our sample. We can observe the relationship between the relative elastic wave velocity change (ΔV/V) and macroscopic stress to determine the acoustoelastic constants, and interpret our observations using the linearized first-order equation based on the model proposed by Hughes and Kelly (1953). This work supports the presence of the acoustoelastic effect in San Carlos olivine, which can be measured as a function of pressure and temperature. This study will aid in our understanding of the acoustoelastic effect and provide a new experimental technique to measure the stress state in elastically deformed geologic materials at high pressure conditions.</p>
3-D crustal models of S-wave velocity and density around the JPH volcanic area in NE China
<p>The 3-D crustal S-wave velocity and density models around the Jingpohu volcanic area in NE China from the joint inversion of full-waveform ambient noise and gravity data.</p>
3-D P- and S-wave velocity (Vp and Vs) model of the Yangbi earthquake source region, as well as the travel-times of ChinArray-I
<p>3-D P- and S-wave velocity (Vp and Vs), as well as Vp/Vs ratio models of the Yangbi earthquake source region</p>
Inverted S-wave velocity model for "Anomalous radial anisotropy and its implications for upper mantle dynamics beneath South China from multimode surface wave tomography"
<p># Instructions for the South China velocity model dataset from multi-mode surface-wave inversion.</p> <p> </p> <p>1. The detailas can be found at the paper: Tang Q, Sun W, Yoshizawa K, et al. Anomalous radial anisotropy and its implications for upper mantle dynamics beneath South China from multimode surface wave tomography. Journal of Geophysical Research: Solid Earth, 2022, 127(8): e2021JB023485.</p> <p> </p> <p>2. The relative SV-wave and SH-wave velocity models at different depths (from 0 to 300 km) are stored in the "data" foder. Each file follows the name convention: shear_{SV/SH}.{depth}.dat representing SV or SH velocity at a given depth.</p> <p> </p> <p>3. In each velocity file, each line have three columns: longitude (deg) latitude (deg) relative_velocity (%)</p> <p> </p> <p>4. The reference velocity can be found in the two files "SV_velocity" and "SH_velocity", depth and velocity.</p> <p> </p> <p>5. The relative velocity is calculated from (absolute-reference)/reference*100%. Thus one can have the absolute velocity via absolute = relative * (1+relative/100).</p>
Supplemental dataset from: Initial acoustoelastic measurements in olivine: Investigating the effect of stress on P- and S-wave velocities
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Ambient noise cross-correlation functions and three-dimensional S-wave velocity structure in the Noto Peninsula, Japan
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The joint inversion results of the receiver functions and apparent S-wave velocities in the central-southern segment of Tanlu fault zone
<p>The folder contains: README, Discontinuities.txt and Velocity_model.</p> <p>README:<br>Description of the data file</p> <p>Discontinuities.txt:<br>This text file contains data related to discontinuities, with the meaning of each column listed in the first row of the file.</p> <p>Velocity_model:<br>This folder contains text files named station names, each representing the inverted velocity model for the corresponding station. The first line of each text file indicates the latitude and longitude of the station. From the second line to the last line, the velocity model is represented as follows: the first column indicates depth, the second column represents Vs (shear wave velocity), the third column indicates the error of Vs, the fourth column represents Vp, and the fifth column indicates the ratio Vp/Vs.</p>
Joint Inversion (Receiver function and apparent S-wave velocity) Results of the central-southern segment of Tanlu fault zone
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