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15 results for “surface faulting”
Large surface-rupture gaps and low surface fault slip of the 2021 Mw 7.4 Maduo earthquake along a low-activity strike-slip fault, Tibetan Plateau
<p>In this data set, Text S1 describes methods of (i) field investigation, UAV image collection and interpretation and (ii) horizontal and vertical displacement measurements. Figure S3 shows pre-event topographic expressions of the Maduo earthquake fault. Tables S1 and S2 provide measurement results of horizontal and vertical displacements, respectively. Datasets 1-4 provide the UAV flight swath, interpreted surface ruptures and secondary cracks, horizontal displacements and vertical displacements.</p>
DATA SET FOR: Active faulting, submarine surface rupture and seismic migration along the Liquiñe-Ofqui fault system, Patagonian Andes
<p>Data description: These data corresponde to high-resolution bathymetry and seismic reflection profiles obtained in the inner fjord west of Puerto Aysén (between 73.13°- 72.68°W and 45.32°-45.47°S; Figs. 1 and 2). The data set was obtained during a geophysical study as part of the DETSUFA project (Deslizamientos Tsunamigénicos en el Fiordo de Aysén; Lastras et al., 2013), which took place between March 4th and 17th, 2013, aboard the R/V BIO Hésperides.<br> <br> KONGSBERG SIMRAD multibeam EM-1002S was used to obtain bathymetric data, and it works with 111 beams at a 96 kHz sonar frequency and with a maximum ping rate of >10 Hz. Equidistant mode was used for swath bathymetry acquisition. This array maximized the number of beams facilitating data acquisition and obtaining a homogenized final grid with improved resolution, with tracks separated every 150 m. The swath thickness was the same regardless of width, generating a 50% overlap between each track, with the exception of areas located near the coast. Expendable Bathythermograph (XBT) probes were used at specific sites to measure changes in water sound velocity due to eventual changes in fresh water circulation, tides, and sediment.<br> <br> Seismic reflection data were acquired using an array of two BOLT air guns (165 and 175 inches3), which were towed behind the vessel stern. The configuration used in the seismic sources was 2,000 psi, a depth of 3 m for the gun, with a firing rate of 15 m over the seafloor. A 100 m long mini-streamer with a 25 m active section, corresponding to one single channel, recovered the shots. The seismic data were recorded by using the DELPH SEISMICPLUS system with a recording length of 4.0 s and a preamplifier gain of 8 Hz. The raw seismic data were processed aboard the SMT Kingdom Suite, including the navigation and standard processes of electrical noise removing (50 Hz filter), gain amplifier and bandpass filtering, to improve data visualization. Postprocessing included the migration of the sea bottom diffractions and the muting of the water column performed in Seismic-Unix.</p> <p>Files:</p> <p>Raw Seismic reflection data for lines 05, 06 and 07 (SU & SEG files)</p> <p>Masked Seismic profiles for lines 05, 06 and 07 (SU, PDF & PS files)</p> <p>Bathymetry of inner and outer Aysén Fjord (ASCII file)</p>
Map and offsets of the Ar-Hötöl surface rupture along the Khovd fault (Mongolian Altay)
<p><strong>Detailed map of the surface ruptures and affected geomorphological markers for the Ar-Khutul section of the Khovd Fault in the Mongolian Altay. Observations are based on a multi-scale approach combining a range of airborne and terrestrial imaging and topographic techniques: Sentinel-2, Pleiades, TanDEM-X, UAV, and terrestrial laser scanning. This dataset is composed of a detailed map of tectonic scarps with a distribution of offset values below 10 m.</strong></p>
Surface velocities due to the Southern San Andreas Fault from Sentinel-1 InSAR data
<p>Line of sight (LOS), fault-parallel, and vertical velocities in the area around the Southern San Andreas Fault in California, USA. Gzipped tar archive. All data are in Generic Mapping Tools (GMT) Netcdf format. </p>
Deep, shallow and surface fault-zone deformation during and after the 2021 Mw7.4 Maduo, Qinghai, earthquake illuminates fault structural immaturity
<p>These datasets include the postseismic InSAR time series on ascending and descending tracks and the relocated aftershocks (Wang et al., 2021) of the 2021 Maduo earthquake. The details can be found in our JGR paper.</p> <p>Reference</p> <p>Wang, W., Fang, L., Wu, J., Tu, H., Chen, L., Lai, G., & Zhang, L. (2021). Aftershock sequence relocation of the 2021 Ms7. 4 Maduo earthquake, Qinghai, China. Science China Earth Sciences, 64(8), 1371-1380.</p>
Fault strength and rupture process controlled by fault surface topography
<p>Experimental source data for the study "Fault strength and rupture process controlled by fault surface topography"</p>
Seismic interpretation of key stratigraphic and structural surfaces, and crustal faults within the Galicia 3-D reflection survey
<p>This repository contains all the seismic interpretations utilized for the analysis in the article "<em>Origin of serpentinization patterns beneath the S-reflector detachment fault in the Galicia margin, offshore Spain</em>". </p> <p>The "<em>Surfaces</em>" file contains the CPS-3 shape files of the major stratigraphic and structural surfaces (seafloor, base of post-rift sedimentary strata, base of pre/syn-rift sedimentary strata, base of crystalline basement, S-reflector detachment fault, Moho). The "<em>Faults</em>" file contains the interpretations of the major crustal faults overlying the S-reflector detachment. The "<em>Data</em>" file contains the spatial boundary of where the S-reflector is the crust-mantle boundary, the P-wave velocities of Schuba et al. (2019) and calculated degree of serpentinization (Schuba et al., submitted) based on Christensen's (2004) 200 MPa/200<sup>o</sup>C serpentinite compilation study. </p> <p>All seismic interpretations were carried out on Petrel<sup>TM</sup> versions 2015 and 2017. The seismic reflection volume that was interpreted can be found at https://doi.org/10.1594/IEDA/500151.</p> <p> </p> <p>References: </p> <ul> <li>Christensen, N.I. (2004). Serpentinites, Peridotites, and Seismology. <em>International Geology Review</em>, <em>46</em>(9), 795-816. https://doi.org/10.2747/0020-6814.46.9.795</li> <li>Schuba, C.N., Schuba, J.P. Gray, G.G., and Davy, R.G., (2019). Interface targeted velocity estimation using machine learning. <em>Geophysical Journal International</em>, <em>218</em>(1), 45-56. https://doi.org/10.1093/gji/ggz142</li> <li>Schuba, C.N., Gray, G.G., Morgan, J.K., Schuba, J.P., and Sawyer, D.S., (submitted). Interface targeted velocity estimation using machine learning. <em>Geochemistry, Geophysics, Geosystems.</em></li> </ul>
Active fault surface traces of the southern Alpine Fault Zone, New Zealand
<p>This repository contains detailed, lidar-enabled geomorphic mapping of active fault surface traces assoicated with the southern Alpine Fault Zone in New Zealand.</p> <p> </p> <p> </p>
UAV surveying data and surface rupture for the 2022 Ms 6.9 Menyuan earthquake, along Haiyuan fault system, NE Tibet
<p>The unmanned aerial vehicle (UAV) data was acquired by a DJI (Dajiang Innovations Science and Technology Co., Ltd.) Phantom 4 RTK. High resolution digital elevation and orthophoto models (DEM/DOM) was produced by Agisoft Metashape Professional software.</p> <p>The LLL1-12 and TLS1-5 images are the DOMs covering the surface ruptures along the Leng Long Ling fault and Tuolai Shan fault from west to east, respectively.</p> <p>The 2022 Menyuan earthquake surface rupture (.kmz file) was obtained based on the interpretation of UAV DOM data. </p> <p>The DEM files are used to calculate the offsets in the Menyuan earthquake paper (<em>The 2022, Ms 6.9 Menyuan earthquake: surface rupture, Paleozoic suture re-activation, slip-rate and seismic gap along the Haiyuan fault system, NE Tibet</em>).</p> <p> </p> <p> </p>
Surface displacement measurements and fault slip models for the 1997 Mw 7.2 Zirkuh earthquake
<p><strong>Source models of the 1997 Mw 7.2 Zirkuh earthquake inferred from InSAR and optical correlation displacement field </strong></p> <p><strong>Introduction</strong></p> <p>We provide the InSAR and optical correlation displacement fields of the 1997 Mw 7.2 Zirkuh earthquake (NE Iran).<br> The InSAR data have been processed by Sudhaus and Jonsson (2011) and the optical correlation data by Marchandon et al. (2017). <br> We also provide the different fault slip models for the earthquake inferred from these data and published in Marchandon et al. (2017). <br> Finally, we include the source code of the genetic algorithm used in Marchandon et al. (2017) to infer the uniform slip models of the Zirkuh earthquake.<br> This genetic algorithm (Sudhaus and Jonsson, 2011) allows estimating the geometry and a uniform slip value for each segment of the fault. The Abiz fault, that broke during the Zirkuh earthquake, <br> is a complex structure with many fault strike variations that requires 16 segments to be properly modelled. Thus, a penalty function is implemented to constrain the algorithm to sample models<br> with limited dip angle fluctuations between neighboring segments (Sudhaus and Jonsson, 2011). The rupture is modelled as a dislocation embedded in an elastic half-space (Okada, 1992). </p> <p>For further information about the data, the method and the model results, see Marchandon et al. (2017). </p> <p><strong>Content</strong></p> <p>Data: InSAR data, optical Correlation data, weighting matrix files in .mat format, matlab script to plot the data. <br> Fault: Abiz fault segment locations file in .mat format and matlab script to plot the fault.<br> Scripts: All scripts needed to run the Non-linear optimization.<br> Models: Fault slip models for the Zirkuh earthquake and matlab script to plot them. </p> <p><strong>References</strong></p> <p>Sudhaus, H., and S. Jonsson (2011), Source model for the 1997 Zirkuh earthquake (Mw=7.2) in Iran derived from JERS and ERS InSAR observations, Geophysical Journal International, <br> 185(2), 676–692, doi:10.1111/j.1365-246X.2011.04973.x.</p> <p>Marchandon, M., Vergnolle M., Sudhaus, H., and Cavalié., O., (2017) Fault geometry and slip distribution at depth of the 1997 Mw 7.2 Zirkuh earthquake: <br> contribution of near-field displacement data, accepted with minor revisions at Journal of Geophysical Research: Solid Earth. </p> <p>Okada, Y. (1992), Internal deformation due to shear and tensite faults in a half-space, Bulletin of Seismological Society of America, pp. 1018–1040.</p> <p> </p>
Dataset for "Surface physicochemical properties of smectite-rich fault gouge: A case study of the Japan Trench plate-boundary fault"
<p>This deposit contains dataset for the study reported in the paper "Surface physicochemical properties of smectite-rich fault gouge: A case study of the Japan Trench plate-boundary fault".</p>
Data from: What can surface slip distributions tell us about fault connectivity at depth?
Open the record for dataset details and reuse information.
Data for "The influence of fault geometrical complexity on surface rupture length"
<p>This repository contains the data generated in and some data from the FDHI database (Sarmiento et al., 2021) required to run the scripts used in our publication "The effect of fault geometrical complexity on surface rupture length".</p> <p> </p> <p>Table of contents:</p> <table> <tbody> <tr> <td>File/directory</td> <td>File type</td> <td>Notes</td> <td>References (if applicable)</td> </tr> <tr> <td>geometrical_complexity_shapefiles_v1.zip</td> <td>Shapefiles</td> <td> <p>Shapefiles for the breached and unbreached geometrical features in Rodriguez Padilla et al. 202X. The name of each file is the geometrical feature, followed by whether the feature is breached or unbreached, followed by the name of the event the feature was mapped from.</p> <p>Example: stepover_breached_Borrego.shp</p> <p>Note some shapefiles are empty because that feature type was not observed for a given event. </p> </td> <td> <p>Rodriguez Padilla et al. (202X)</p> <p>Sarmiento et al. (2021) <a href="https://www.risksciences.ucla.edu/nhr3/fdhi/databases">https://www.risksciences.ucla.edu/nhr3/fdhi/databases</a></p> </td> </tr> <tr> <td>Regional_maps.zip</td> <td>Shapefiles</td> <td>Shapefiles for each regional fault map (Qfaults for US, NZAFD for New Zealand, AFEAD for Asia and the Middle East, and GEM for remaining regions)</td> <td>USGS and CGS, Langridge et al. (2016), Bachmanov et al. (2021), Styron and Pagani (2020)</td> </tr> <tr> <td>event_rupture_shp.zip</td> <td>Shapefiles</td> <td>Shapefiles with the primary ruptures for each of the events as mapped in the FDHI database</td> <td> <p>Sarmiento et al. (2021) <a href="https://www.risksciences.ucla.edu/nhr3/fdhi/databases">https://www.risksciences.ucla.edu/nhr3/fdhi/databases</a></p> </td> </tr> <tr> <td>data_FDHI.xlsx</td> <td>Spreadhsheet</td> <td>Event information, including magnitude, date, displacement distribution, etc. from the FDHI database. The data that is compiled in the spreadsheet can be accessed from the appendices of the FDHI database.</td> <td> <p>Sarmiento et al. (2021)</p> <p><a href="https://www.risksciences.ucla.edu/nhr3/fdhi/databases">https://www.risksciences.ucla.edu/nhr3/fdhi/databases</a></p> </td> </tr> <tr> <td>reflines_FDHI.zip</td> <td>Shapefiles</td> <td> <p>ECS reference lines for each event from the FDHI database (Sarmiento et al., 2021) in shapefile format</p> </td> <td> <p>Sarmiento et al. (2021)</p> <p><a href="https://www.risksciences.ucla.edu/nhr3/fdhi/databases">https://www.risksciences.ucla.edu/nhr3/fdhi/databases</a></p> </td> </tr> <tr> <td>geometries.csv</td> <td>Spreadsheet</td> <td> <p>Feature geometries, including lengths, widths, angles, and other measured attributes, generated using the Matlab code measure_EQgates.m in Github repository <a href="https://github.com/absrp/passing_probabilities_EQgates">https://github.com/absrp/passing_probabilities_EQgates</a></p> <p>This csv file also serves as the input for the Jupyter Notebook for estimating passing probabilities and event likelihoods.</p> </td> <td>Rodriguez Padilla et al. (202X)</td> </tr> </tbody> </table> <p> </p>
The surface coordinates of the Zemuhe fault and the surface dislocations of the 1850 Xichang earthquake
<p>These datasets accompany the Zemuhe fault surface coordinates that were used for construction of the fault geometry model, the observational fault surface slip of the 1850 Xichang M 7.5 earthquake and the intensity distribution in Estimation of the nucleation location and rupture extent of the 1850 Xichang, Sichuan, China, earthquake by dynamic rupture simulations on a multi-segment stepover structure submitted to Earth and Space Science by Yu et al. (2023). The data is structured as follows:</p> <p>Once unzipped the data within the archive are six txt files: fault_surface_slip_Feng.txt, which is from Feng et al. (2000); fault_surface_slip_Ren.txt, which is from Ren and Lin (2010), fault_surface_slip_Yu.txt, which is from Yu et al., (2001); intensity.txt, which is from Feng et al. (2000); landslides.txt, which is from Guo et al. (2014) and Cao (2015); zemuhe_fault_surface_coordinates.txt, which is from Working group for geologic mapping on Zemuhe fault (2000). The file folder stress_configuration contains the initial stress setup for the model in Figure 5c.</p>
Data contained in "22-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets" - Journal of Geophysical Research - Solid Earth - DOI: 10.1029/2019JB017757
<p>Data contained in “22-Kyr-Long Record Of Surface Faulting Along The Source Of The 30 October 2016 Earthquake (Central Apennines, Italy), From Integrated Paleoseismic Datasets” - Journal of Geophysical Research - Solid Earth - DOI: 10.1029/2019JB017757 by Cinti F.R.*, De Martini P.M.*, Pantosti D.*, Baize S.°, Smedile A.*, Villani F.*, Civico R.*, Pucci S.*, Lombardi A.M.*, Sapia V.*, Pizzimenti L.*, Caciagli M.*, Brunori C.A.*<br> * Istituto Nazionale di Geofisica e Vulcanologia, Italy<br> ° Institut de Radioprotection et de Sûreté Nucléaire, France</p>
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