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44 results for “seismic velocity”
Alaska 2020 update for USGS G19AP00019: Initial Development of Alaska Community Seismic Velocity Models
<p>Seismic velocity model AKEP2020 uses earthquake travel-time and ambient noise group velocity data to update Eberhart-Phillips et al. (2006: AKEP2006)</p> <p> </p> <p>The model is provided in a table: vlAKEP2020xyzltlnSFDRE.tbl.txt</p> <p>and in the simul output from velocity inversion: vlAKEP2020.out.txt</p> <p>Map plots of Vp and Vp/Vs are also provided, with lines denoting limits of adequate data.</p> <p> </p> <p>Velocity Inversion Procedure Notes for AKEP2020 model</p> <p> </p> <p>The 2006 AK model and the 2020 updated model both use Transverse Mercator coordinate transformation with central meridian= -150 and counterclockwise rotation of 162.1. Earth-flattening transformation is used for velocity during ray-tracing. The depths are relative to sea-level and station elevations are used. For the group-velocity data, the surface is taken as the 30-km median filtered topography.</p> <p>Velocity with the 3D gridded model is defined by linearly interpolating between nodes.</p> <p>A gradational inversion approach was used with earthquake and shot travel-time data, and group velocity observations for periods 6-15 s. The table provides, from the computed resolution matrix, the diagonal resolution element (DRE), and the spread function (SF), for each Vp and Vp/Vs node.</p> <p> </p> <p>This material is based upon work supported by the U.S. Geological Survey under Grant No. G19AP00019. Note that an earlier model, AKEP2018, from the first year of this funded project was reported in Eberhart-Phillips et al. (2019).<br> <br> The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey</p>
New Zealand Wide model 2.3 seismic velocity model for New Zealand
<p><em><span><strong><span>19-Sept-2024</span></strong><span> Full uncompressed versions of the </span>New Zealand Wide 2.3 velocity, Qs and Qp model Tables can be obtained from zenodo.org/records/13799996</span></em></p> <p>New Zealand Wide velocity model 2.3 has seismic velocity for New Zealand developed from local-earthquake tomography studies. It incorporates results from the southern South Island, published in Tectonics, using joint inversion of travel times and ambient noise derived group velocities (Eberhart-Phillips, et al., 2021, 2022). The results from that study have been interpolated and merged into the previous New Zealand Wide model 2.2 (zenodo.org/record/3779523)</p> <p>The model is provided in tables, where the Spread Function (SF) shows the resolution, such that where SF<4, there is little information.</p> <p>vlnzw2p3dnxyzltln.tbl.txt</p> <p>There is also a simul format velocity file.</p> <p>vlnzw2p3.mod.txt</p> <p>And map plots with white lines denoting limits of adequate data, from the 2022 Southern South Island paper, and also for all New Zealand.</p> <p>Figs_SouthernSI_Tect.pdf</p> <p>mapvpvpvsnzw2p3.pdf</p> <p>Velocities any point within the 3D gridded models are defined by linearly interpolating between nodes.</p> <p>The models use Transverse Mercator coordinate transformation with a central meridian= 173, and counterclockwise rotation of 140. Earth-flattening transformation is used for velocity during ray-tracing. The depths are relative to sea-level. Density has been included in the velocity table, by using an empirical relationship (Gardner et al., 1974; Hill, 1978).</p>
Alaska 2018 update for USGSG18AP00017: Initial Development of Alaska Community Seismic Velocity Models
<p>Seismic velocity model AKEP2018 uses earthquake travel-time and ambient noise group velocity data to update the Alaska 3-D model of Eberhart-Phillips et al. (2006: AK2006), for the USGS project on developing Alaska Community Seismic Velocity Models . This 2018 model will be expanded with additional data in 2019 in the second year of the funded project.</p> <p>Velocity within the 3D gridded model is defined by linearly interpolating between nodes. The inversion solved for Vp and Vp/Vs. The model is provided in a table: vlAKEP2018xyzltlnSFDRE.tbl.txt, with velocity at inversion nodes in cartesian and latitude-longitude coordinates. The table provides, from the computed resolution matrix, the diagonal resolution element (DRE), and the spread function (SF), for each Vp and Vp/Vs node.</p> <p>This material is based upon work supported by the U.S. Geological Survey under Grant No. G18AP00017. <br> <br> The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the opinions or policies of the U.S. Geological Survey. Mention of trade names or commercial products does not constitute their endorsement by the U.S. Geological Survey.</p>
New Zealand Wide model 2.3 seismic velocity, Qs and Qp Tables
<p><span>This record contains uncompressed files of the tables of the </span>New Zealand Wide 2.3 velocity model, <a href="https://doi.org/10.5281/zenodo.6568301" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.6568301</a>, and New Zealand Wide 2.3 Qs and Qp models, <a href="https://doi.org/10.5281/zenodo.5098356" target="_blank" rel="noopener">https://doi.org/10.5281/zenodo.5098356</a>.</p> <p><span>The files in those previous zenodo records were compressed gz files. Some people reported that they were unable to extract the text tables from the gz files.<span> </span>This record has the same tables in full uncompressed format.</span></p>
Enhanced 3D velocity structure, seismicity relocation and basement characterization of Changning shale gas and salt mining regions in Sichuan Basin
<p>This repository contains the datasets and results of the joint inversion-based Vp/Vs model consistency constrained double difference seismic tomography carried out for the manuscript titled “Enhanced 3D velocity structure, seismicity relocation and basement characterization of Changning shale gas and salt mining regions in Sichuan Basin.” Included are the following: column descriptions of data files, catalog earthquake information (CX_event.dat), relocated events after inversion (CX_tomoDDMC.reloc), inverted Vp model (CX_Vpmodel.dat), inverted Vs model (CX_Vsmodel.dat) and inverted Vp/Vs model (CX_VpVsmodel.dat). Please consult the manual for tomoDD by Zhang and Thurber (2003) for detailed formats of these files. In addition, an averaged velocity model (MOD_averaged) computed based on the inversion results is included, and the converged model (Vp_model_reinverted) resulting from the reinversion, as well as basement structure data for Figure 14.</p>
Southern South Island, New Zealand, seismic observations and velocity model for Tectonics 2021TC007006
<p>This archive has data and results from the Tectonics paper, “The influence of basement terranes on tectonic deformation: joint earthquake travel-time and ambient noise tomography of the southern South Island, New Zealand” (Eberhart-Phillips et al., 2022; doi:10.1029/2021TC007006). That work incorporated earthquake observations from the 2014-2015 Otago temporary broadband network. Group velocity observations are in ‘groupvel_obs_otaf_T5_T9.vgsw’. We used earthquakes observed on the COSA temporary network. The Otago-COSA travel-times and hypocenters are in ‘tt_archive.tar’. The Otago earthquakes were evaluated within Seiscomp. Those observation files, which include polarity, are in ‘polarity_bulletin.tar’. We did not use the polarities in the Tectonics paper, but we archive them here for completeness. The waveform data will be available from IRIS.</p> <p>The southern South Island 3-D velocity model is provided in the table ‘vlotf30xyzltlnDWSSF.mod’, with DWS (derivative weight sum) describing the distribution of data, and SF (spread function) describing the resolution averaging. Later on, this will be merged into the New Zealand wide velocity model version 2.3, which will be placed on Zenodo.</p>
New Zealand Wide model 2.1 seismic velocity model for New Zealand
<p><em><strong>21-May-2022</strong> There are updated Vp and Vp/Vs models 2.3, which incorporate the results from the Southern South Island region, at zenodo.org/record/6568301 </em></p> <p><strong>13-July-2021</strong> There are updated Qp and Qs models 2.3, which incorporate the results from the Kaikoura region, at zenodo.org/record/5098356</p> <p>May 2020. This model has now been updated. Please see NZwide2.2 model which contains 3D seismic velocity and Qs and Qp models, incorporating recent regional 3D studies, at zenodo.org/record/3779523</p> <p>----------------------------------------</p> <p>New Zealand Wide model 2.1 has a seismic velocity model for New Zealand, developed from local-earthquake tomography studies. It is updated to include the Otago model (Reyners et al., 2017).</p>
USGSG16AP00094: Developing a seismic velocity model of the central valley, northern California: model SSJD2016
<p>Seismic velocity model SSJD2016 uses earthquake travel-time, ambient noise group velocity and gravity data to update Thurber NC2009, for northern California.</p>
Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS. Cubuk-Sabuncu-etal-Dataset
<p>The dataset for the article "Temporal Seismic Velocity Changes Associated with the Mw 6.1, May 2008 Ölfus Doublet, South Iceland: a Joint Interpretation from dv/v and GPS" by Cubuk-Sabuncu et al. is provided.</p> <p>The weather dataset is now included in version 2.</p>
Seismic profiles, migration velocities and tomographic inversion results of the deep reflection profiles in the central South China
<h1><strong>Overview</strong></h1> <p>The following set of data and scripts are meant to accompany the paper:</p> <p>Jiang, W. B., Wang, Q., Zhang, Y.Q., Dong, S.W., Ruan, Y.Q., Cui, J.J., Kuang, Z.Y., Paleoproterozoic collision to Mesozoic crustal reworking in central South China: evidence from borehole data and seismic crustal structure, Submitted to JGR: Solid Earth</p> <p>The data and scripts are intended to reproduce seismic profiles, migration velocities, and tomographic inversion results shown in the paper.</p> <p>The repository contains five directories:</p> <p><strong>./01_Seismic_Profiles/</strong> -> Four seismic profiles shown in the manuscript. (1) psdm_line01.sgy (Figure 7a); (2) psdm_line02.sgy (Figure 7b); (3) SCB_PSDM.segy (Figure 9); (4) SCB_PSTM.segy (Figure S5a).</p> <p><strong>./02_Tomographic_Data_Velocity/</strong> -> picked_traveltimes.tt, picked traveltime for the normal shots (Figure 6a). The file contains location of shots and receivers, picked traveltimes; Tomo_inv.mdl, P-wave velocity model derived from first-arrival traveltime tomography (Figure 8a); Tomo_Fx1_Fz1_ray.mdl, Ray density distribution calculated using the Vp model (Figure 8b); traveltime_data_FILE_FORMAT.pdf, this pdf file describes the format of *.tt file; mdl_data_FILE_FORMAT.pdf, this pdf file describes the format of *.mdl file.</p> <p><strong>./03_Migration_Velocity_Models/ </strong>-> Migration velocity models to produce prestack time migration profile and prestack depth migration profile. VEL_RMS.mdl, RMS velocity field used in prestack time migration (Figure S4a); VEL_INTERVAL.mdl, Interval velocity field used in prestack depth migration (Figure S4b).</p> <p><strong>./04_Bouguer_Gravity_Anomaly/ </strong>-> gravity_data.grv, the Bouguer gravity anomaly data used in 2-D gravity modelling; gravity_data_FILE_FORMAT.pdf, this pdf file describes the format of *.grv file.</p> <p><strong>./05_Scripts/</strong> -> Matlab scripts to reproduce seismic profiles, migration velocities, and tomography inversion results shown in the paper. </p>
Seismic noise interferometry and Distributed Acoustic Sensing (DAS): Inverting for the firn layer S-velocity structure on Rutford Ice Stream, Antarctica
<p>This dataset contains files including continuous DAS and geophone data and a refracted P wave travel time data collected on Rutford Ice Stream, Antarctica. The seismic data is used to perform seismic noise interferometry. The travel time data is used to perform refraction inversion to get the P wave velocity profile.</p> <p><br> 1. 7 hours of continuous DAS data (100 Hz sampling): 2020-01-14T00:00:19.598000Zoffset_****.mseed, with offset referring to the distance from the DAS channel to the interrogator.</p> <p>2. Corresponding 7 hours of vertical component continuous geophone (A000, located at DAS channel offset 570 m) data.</p> <p>3. Refraction P wave travel time from a geophone array refraction survey.</p>
Accuracy of the Group Velocity of Love Waves Extracted from Ambient Seismic Noise
<p>Love wave waveforms derived from the empirical Green's functions and Ground Truth earthquake in my manuscript submitted to Journal of Geophysical Research: Solid Earth.</p>
USGSG16AP00094: Developing a seismic velocity model of the central valley, northern California: models SSJDOPHW95, SSJDGRANW95, SSJDFRAN95, and SSJDFRANG16
<p>Data and Figures for final technical report for:<br> USGS16AP00094: Developing a seismic velocity model the Central Valley, Northern California<br> Justin Lindeman, Donna Eberhart-Phillips, Louise H. Kellogg, and Lorraine J. Hwang<br> University of California, Davis</p> <p>Data for the final velocity model SSJD2016 may be found here:<br> <br> Eberhart-Phillips, Donna. (2017). USGSG16AP00094: Developing a seismic velocity model of the central valley, northern California: model SSJD2016 [Data set]. Zenodo. http://doi.org/10.5281/zenodo.556605</p> <p><br> Data for the shallow velocity models can be found in this repository.</p> <p>DATA FILES</p> <p>SSJDOPHW95.out, SSJDGRANW95.out, and SSJDFRANW95.out are crustal velocity models from velocity vs depth relation (Aagaard et al., 2010) and Wentworth et al., 1995 basement surface contours.</p> <p>SSJDFRANG16.out is the crustal velocity model from velocity-vs-depth relations (Aagaard et al., 2010) and <br> Graymer (written communication) 2016 basement surface contours.</p> <p>FIGURES</p> <p>All figures in the final technical report are included here.</p> <p>Map view slices of Vp (All*VP.pdf) and cross sections (All*crosssectionscomp.pdf) are also included in this package.</p> <p>SCRIPTS<br> shallowvelocityFRAN.m, shallowvelocitytygran.m, and shallowvelocityOPH.m are the matlab scripts used to create the shallow velocity models.</p>
Dataset of relative seismic velocity variations (dv/v) of R66E3 Raspberry Shake and groundwater level variations of BSS002NNZL borehole from 2022/04/28 to 2025/02/04
<p>Dataset of relative seismic velocity variations (dv/v) of R66E3 Raspberry Shake and groundwater level variations of BSS002NNZL borehole from 2022/04/28 to 2025/02/04.</p> <p>A Raspberry Shake RS3D, a three-components geophone (station R66E3 and network code AM) with a natural frequency of 4.5 Hz (electronically extended to 0.5 Hz), is installed in the technical room located 8 m from the BSS002NNZL borehole (a groundwater monitoring borehole), in the town of La Trinité, Martinique. </p> <p>Seismic recordings for station R66E3 (network AM: <a href="https://urldefense.com/v3/__https:/doi.org/10.7914/SN/AM__;!!KbSiYrE!iv8kuFqjRdPI_Ko8AW4XCYuOXVn1VnpNP__Nya_VHhUPUgY40Hpa99szk_9JYls8gw61SbHCjstW1a3C0w$">https://doi.org/10.7914/SN/AM</a>) are collected from the Raspberry Shake data center (<a href="https://urldefense.com/v3/__https:/data.raspberryshake.org/fdsnws/__;!!KbSiYrE!iv8kuFqjRdPI_Ko8AW4XCYuOXVn1VnpNP__Nya_VHhUPUgY40Hpa99szk_9JYls8gw61SbHCjsumhGvdYA$">https://data.raspberryshake.org/fdsnws/</a>). The raw continuous seismic recordings and relative velocity variations are processed by using MATLAB (<a href="https://urldefense.com/v3/__https:/mathworks.com__;!!KbSiYrE!iv8kuFqjRdPI_Ko8AW4XCYuOXVn1VnpNP__Nya_VHhUPUgY40Hpa99szk_9JYls8gw61SbHCjss0LIo2Pw$">https://mathworks.com</a>).</p> <p>This dataset contains the resulting 2-3 Hz frequency range relative velocity variations data. </p> <p>The dataset also contains daily mean groundwater level data (in altitude and pressure) of BSS002NNZL borehole. The borehole is equipped with a PARATRONIC SNP pressure sensor with data recording every minutes. The probe resolution is ±1 mm.</p> <p>Rainfall and air temperature are available close to the site thanks to the French climatic network operated by Météo-France (<a href="https://meteo.data.gouv.fr/">meteo.data.gouv.fr</a>). Daily rainfall (from Morne des Esses station) and daily air temperature data (from Spoutourne station) are also provided in the dataset.</p>
The Repository for the Manuscript "Temperature and Precipitation Dominate Seasonal Variations in Seismic Velocity and Attenuation in Deserts"
<p><strong><span>Overview</span></strong></p> <p><span>This dataset contains the essential code and data for calculating the Horizontal-to-Vertical Spectral Ratio (HVSR), analyzing vehicle-generated seismic events, retrieving Q-values, and comparing them with meteorological data. It also includes waveform data from 20 seismic events.</span></p> <p><span>The seismic data originate from a temporary broadband seismic array deployed in the Tarim Basin, from July 2017 to October 2019 (Zuo et al., 2022). This dataset focuses on three seismic stations: T12, T52, and T23. Stations T12 and T23 recorded data from July 2017 to October 2019, while station T52 recorded from November 2018 to October 2019.</span></p> <p><span> </span></p> <p><strong><span>Code</span></strong></p> <p><span>The dataset includes Python scripts for calculating HVSR and retrieving Q-values. The HVSR calculation follows Li et al., (2023), while forward modeling is based on Antonio García-Jerez et al., (2016).</span></p> <p><span>The codes for Q-value estimation are stored in ‘Retrieving Q-value’ folder. The Q-value estimation process, demonstrated for station T12 in Jupyter Notebook, involves extracting single vehicle signals from continuous data, time-frequency spectrogram calculations, two-dimensional correlation coefficient of their time-frequency amplitude calculations, using hierarchical clustering algorithm to classify vehicle signals, vehicle speed estimation, and performing Q-value inversion.</span></p> <p><span> </span></p> <p><strong><span>Dataset </span></strong></p> <p><span>HVSR variations over time for three stations are calculated from continuous seismic recordings and are stored in the <em>‘HVSR’</em> folder under each station directory. </span></p> <p><span>Time-frequency spectrograms for Q-value estimation are stored in the <em>‘Spectrogram’</em> folder, with filenames indicating the record time of each vehicle signal. The Q-value is inverted using these signals, and for stability, we stacked every 100 individual results, which are stored in the 'Q-values' folder under the corresponding station name folder. Due to interference from wind and other sources, Q-value inversion using vehicle signals was unreliable for T23, so Q-values are only provided for T12 and T52.</span></p> <p><span>Meteorological data (temperature and soil water content) are stored in the <em>‘temperature’</em> and <em>‘soil water content’</em> folders under each station directory.</span></p> <p><span>Seismic event waveforms for 20 selected strong earthquakes are stored in the <em>‘events’</em> folder, with filenames indicating the start and end times of the events.</span></p> <p><span> </span></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>
Dataset files for 'Tan et al., Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'
<p>These files are the data and result files for the manuscript entitled<strong> 'Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'</strong> by Tan et al., including</p> <p>catalog.dat : the seismic phase catalog used in seismic tomography</p> <p>station.dat : the station coordinates of the local seismic network</p> <p>relocation.dat : the earthquake relocations obtained by double-difference seismic tomography</p> <p>1-D Vs.xlsx : the 1-D Vs model in the shale gas field</p> <p>3-D Vp.dat: the 3-D Vp model obtained by DD seismic tomography</p> <p>3-D Vs.dat: the 3-D Vs model obtained by DD seismic tomography</p> <p>3-D VpVs.sgy: the 3-D Vp/Vs model obtained by DD seismic tomography (3-5 km)</p> <p>3-D pressure.sgy: the 3-D pore pressure field model obtained by focal mechanism tomography (3-5 km)</p>
Dataset files for 'Tan et al., Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'
<p>These files are the data and result files for the manuscript entitled<strong> 'Hydraulic Fracturing Induced Seismicity in the Changning Shale Gas Field: Evidence From 3-D Seismic Velocity Structure and Pore Pressure Field Models'</strong> by Tan et al., including</p> <p><strong>station.dat</strong> : the station coordinates of the local seismic network (including the station ID, longitude, latitude, elevation(negative)/depth(positive), X, Y)</p> <p><strong>catalog.dat</strong> : the seismic phase catalog used in double-difference (DD) seismic tomography</p> <p><strong>relocation.dat </strong>: the earthquake relocations obtained by DD tomography</p> <p><strong>1-D Vs.xlsx</strong> : the 1-D Vs model in the shale gas field</p> <p><strong>3-D Vp.dat</strong>: the 3-D Vp model obtained by DD tomography</p> <p><strong>3-D Vs.dat</strong>: the 3-D Vs model obtained by DD tomography</p> <p><strong>3-D VpVs.sgy</strong>: the 3-D Vp/Vs model (interpolated, within 3-5 km)</p> <p><strong>3-D pressure.sgy</strong>: the 3-D pore pressure field model (interpolated, within 3-5 km)</p>
Code for noise-based seismic velocity changes estimation with the Bezymianny volcano data set. Journal of Volcanology and Geothermal Research.
<p>This file contains all the data and the python scripts used to estimate seismic velocity changes for the Bezymianny volcano (Klyuchevskoy volcano group). It also includes a guideline README.pdf with the description how to reproduce all the results presented in the paper <strong>Berezhnev Y., Belovezhets N., Shapiro N., Koulakov I. (2022), Temporal changes of seismic velocities below Bezymianny volcano prior to its explosive eruption on 20.12.2017, Journal of Volcanology and Geothermal Research</strong></p>
Shear wave velocity profiles from Italian Seismic Microzonation project
<p>The dataset SMDB contains the shear wave velocity profiles from Italian Seismic Microzonation project (14,897 profiles).</p> <p>The records are:</p> <p>-survey id;</p> <p>-survey latitude and longitude in UTM33N coordinates;</p> <p>-survey type;</p> <p>-depth in meters;</p> <p>-shear wave velocity value (Vs) in m/s;</p> <p>-seismic microzonation (SM) cluster id.</p> <p>The file percentile_sigma_ln_vs.csv contain sigma lnvs in depth for the three percentiles 16,50,84.</p>
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