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781 results for “earthquakes”
Co-seismic slip of the 18 April 2021 Mw 5.9 Genaveh earthquake in the South Dezful Embayment of Zagros (Iran) and its aftershock sequence
<p>This public repository contains INSAR and other processed data for the manuscript : "Co-seismic slip of the 18 April 2021 Mw 5.9 Genaveh earthquake in the South Dezful Embayment of Zagros (Iran) and its aftershock sequence"</p> <ul> <li>InSAR unwrapped and geocoded files, for the ascending track A101 and the descending track D35: <ul> <li>GDM_Asc101_InU_geo_20210414_20210426_sd_4rlks.tiff</li> <li>GDM_Desc35_InU_geo_20210410_20210422_sd_4rlks.tiff</li> </ul> </li> <li>Sampled quadtree data for the ascending and descending data with LOS vector: <ul> <li>a101_okinv_input</li> <li>d35_okinv_input</li> </ul> </li> <li>Slip distribution model for the fault dipping N and the fault dipping S: <ul> <li>SDM_dipN_oksar.dat</li> <li>SDM_dipS_oksar.dat</li> </ul> </li> </ul> <p> </p>
6th February 2023 Turkish Earthquake 1-30s RINEX database
<p>Database used to study the ionospheric response to the 6th of February Turkish earthquake. The database contains both 1s and 30s time resolution RINEX</p>
1968 Aerial Photos of Dasht-e Bayaz Earthquake, Iran
<p>These are both georeferenced and original scans of 1:7,500 scale black and white aerial photographs collected in 1968 following the M7.1 Dasht-e Bayaz earthquake in Northeast Iran. They were originally presented by Ambraseys and Tchalenko (1969), however their original collection source is unattributed. <br> <br> Ambraseys, N.N., Tchalenko, J.S., 1969. The Dasht-E Bayaz (Iran) Earthquake of August 31, 1968: A Field Report. Bulletin of the Seismological Society of America 59, 1751–1792.</p>
Viscoelasticity modeling of clay minerals by dynamic viscoelasticity measurement and its implications for earthquake faulting
<p>We conducted dynamic viscoelastic measurements on three clay minerals, kaolinite, illite and smectite with water. These concentrated (dense) suspension systems of clay minerals were investigated using a high-temperature and high-fluid-pressure rheometer to determine their viscoelastic properties, which help further the understanding of tectonic and non-tectonic phenomena in the shallow unconsolidated portion of the lithosphere. Our results suggested that the rheological properties resulting from the network structure of the clay mineral were temperature, pressure and peak shear strain rate dependent. In addition, it was observed during this study that the amount of change in the phase angle varied systematically with the type of clay mineral. This suggests that the viscoelastic behaviour of unconsolidated systems saturated with fluid varies with the type of clay minerals that compose it. (Abstract)</p>
Supplementary Material: Numerical Simulations of Seismoacoustic Nuisance Patterns from an Induced M 1.8 Earthquake in the Helsinki, Southern Finland, Metropolitan Area
<p>Seismic waves can couple with the atmosphere and generate sound waves. The influence of faulting mechanisms on earthquake sound patterns provides opportunities for earthquake source characterization. Sound radiated from earthquakes can be perceived as disturbing, even at low ground-shaking levels, which can negatively impact the social acceptance of geoengineering applications. Motivated by consistent reports of felt and heard disturbances associated with the weeks-long stimulation of a 6-km-deep geothermal system in 2018 below the Otaniemi district of Espoo, Helsinki, we conduct fully coupled 3D numerical simulations of wave propagation in the solid Earth and the atmosphere. We assess the sensitivity of the ground shaking and audible noise distributions to the source geometry of the induced earthquakes based on the properties of the largest local magnitude ML 1.8 event. Utilizing recent computational advances and the open-source software SeisSol, we model seismoacoustic frequencies up to 25 Hz, thereby reaching the lower limit of the audible sound frequency range. We present synthetic distributions of shaking and audible sounds at the 50–100 m scale across a 12 km × 12 km area and discuss implications for better under- standing seismic nuisances in metropolitan regions. In five 3D coupled elastic–acoustic scenario simulations that include data on topography and subsurface structure, we analyze the ground velocity and pressure levels of earthquake-generated seismic and acoustic waves. We show that S waves generate the strongest sound disturbance with sound pressure levels ≤ 0.04 Pa. We use statistical analysis to compare our noise distributions with commonly used empirical relationships. We find that our 3D synthetic amplitudes are generally smaller than the empirical predictions and that the interaction of the source mechanism-specific radiation pattern and topography can lead to significant nonlinear effects. Our study highlights the complexity and information content of spatially variable audible effects associated with small induced earthquakes on local scales.</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>
Data files for 'Tan et al., (2022). Seismogenesis of the 2021 Mw 7.1 earthquake sequence near the northeastern Japan revealed by double-difference seismic tomography'
<p>catalog.dat : the selected earthquake phase data (originated from Hi-net, https://www.hinet.bosai.go.jp/?LANG=en)</p> <p>station.dat : the seismic station coordinates</p> <p>MOD : the initial velocity models (including the grid nodes, Vp & Vp/Vs)</p> <p>relocation.dat : the earthquake relocations by the DD tomography</p> <p>Vp_model.dat, Vs_model.dat, VpVs_model.dat : the inverted 3D velocity models by DD tomography (having exactly the same layout as MOD)</p>
Precise, NLL-SSST-coherence hypocenter catalog for the 2023 Mw 7.8 and Mw 7.6 SE Turkey earthquake sequence.
<p><strong>CSV catalog file and visualizations of NLL-SSST-coherence earthquake relocations for the 2023 Mw 7.8 and Mw 7.6, Kahramanmaraş - Gaziantep, Turkey earthquake sequence (28,264 events, M≥1.5, 2023-01-01 to 2023-06-24).</strong></p> <p>NLL-SSST-coherence (<a href="https://doi.org/10.1029/2021JB023190">Lomax and Savvaidis, 2022</a>; <a href="https://doi.org/10.26443/seismica.v2i1.324">Lomax and Henry, 2023</a>) is an enhanced, absolute-timing earthquake location procedure which 1) iteratively generates spatially varying travel-time corrections to improve multi-scale location precision and 2) uses waveform similarity to improve fine-scale location precision.</p> <p>Relocations performed with merged phase arrival data available from AFAD (<a href="https://deprem.afad.gov.tr/event-catalog">https://deprem.afad.gov.tr/event-catalog</a>) and KOERI (<a href="http://www.koeri.boun.edu.tr/sismo/2/bultenler">http://www.koeri.boun.edu.tr/sismo/2/bultenler</a>) downloaded on 2023-06-23. All events in the AFAD catalog with M≥1.5 are used for relocation; for each AFAD event, arrival data for the corresponding events from KOERI is merged when available (epicenter within 10km, origin time within 10 sec).</p> <p>Seismic velocity model is a smoothed version of the "Final 1-D" velocity model from:<br> Acarel, D., Cambaz, M.D., Turhan, F., Mutlu, A.K. & Polat, R., 2019. Seismotectonics of Malatya Fault, Eastern Turkey. Open Geosciences, 11, 1098–1111. Available at: <a href="https://doi.org/10.1515/geo-2019-0085">https://doi.org/10.1515/geo-2019-0085</a>.</p> <p>[For relocations of events starting from 2020-01-01 through 2023-03-04 and including the 2020 Mw 6.8 Elazığ, Turkey sequence, see v1.0 of this dataset: <a href="https://doi.org/10.5281/zenodo.7699882">https://doi.org/10.5281/zenodo.7699882</a>]<br> </p> <p>This repository archive file contains:</p> <p><strong>Full catalog in CSV format</strong>: X_Turkey_20230624A_Acarel2019smooth_NLL-SSST-coherence_M1.5.csv<br> CSV file data columns correspond to selected fields of the of NonLinLoc Hypocenter format output <a href="http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_">http://alomax.free.fr/nlloc/soft7.00/formats.html#_location_hypphs_</a></p> <p><strong>Key NLL-SSST-coherence configuration files</strong>: NLL-SSST-coherence_config/</p> <p><strong>Visualization images:</strong></p> <p> <strong>Full catalog</strong>: A_Turkey_20230624A_Acarel2019smooth_NLL-SSST-coherence_M1.5.png<br> <strong>Events with (68% location ellipsoid) err ≤ 8km, origin-time color scale</strong>: B_Turkey_20230624A_Acarel2019smooth_NLL-SSST-coherence_M1.5_se8km_OTIME.png<br> <strong>Events with err ≤ 8km</strong>: B_Turkey_20230624A_Acarel2019smooth_NLL-SSST-coherence_M1.5_se8km.png<br> <strong>Events with err ≤ 8km, depth ≤ 10km</strong>: C_Turkey_20230624A_Acarel2019smooth_NLL-SSST-coherence_M1.5_se8km_z-10.png<br> <strong>Events with err ≤ 8km, depth ≥ 10km</strong>: C_Turkey_20230624A_Acarel2019smooth_NLL-SSST-coherence_M1.5_se8km_z10-.png</p> <p>Symbol size is proportional to event magnitude.<br> AFAD stations shown by light gray inverted pyramids.<br> KOERI stations shown by dark gray inverted pyramids.</p> <p>Origin-time plot event colors:<br> Blue: before 2023-02-06 M 7.8 event<br> Yellow: from 2023-02-06 01h17 UTC M 7.8 event through 2023-02-06 10h24 UTC M 7.6 event<br> Orange to Red: after 2023-02-06 10h24 UTC M 7.6 event</p> <p>Plot data:<br> Background image from https://opentopography.org<br> Mapped surface faults (light purple) from: Emre, Ö., Duman, T.Y., Özalp, S., Şaroğlu, F., Olgun, Ş., Elmacı, H. & Çan, T., 2018. Active fault database of Turkey. <em>Bull Earthquake Eng</em>, <strong>16</strong>, 3229–3275. <a href="https://doi.org/10.1007/s10518-016-0041-2">https://doi.org/10.1007/s10518-016-0041-2</a><br> Surface Rupture Lines (green) from: Reitman, N.G., Briggs, R.W., Barnhart, W.D., Thompson Jobe, J.A., DuRoss, C.B., Hatem, A.E., Gold, R.D., Akçiz, S., Koehler, R.D., Mejstrik, J.D., Collett, C., 2023, Fault rupture mapping of the 6 February 2023 Kahramanmaraş, Türkiye, earthquake sequence from satellite data: U.S. Geological Survey data release, <a href="https://doi.org/10.5066/P985I7U2">https://doi.org/10.5066/P985I7U2</a>.</p> <p> </p> <p>Thanks to Sinan Ozeren, Didem Cambaz, Fatih Turhan, Dogan Kalafat, Selda Altuncu Poyraz, Kıvanç Kekovalı, Onur Tan, Alberto Michelini and Pierre Henry for assistance and discussions.</p>
Data files for 'Tan et al., (2023). Structural heterogeneity-controlled rupture process of the 2021 Mw 7.1 Fukushima, Japan earthquake revealed by joint inversion of seismic and geodetic data'
<p>slip model.dat: rupture model of the 2021 Mw 7.1 Fukushima earthquake</p> <p>In 'slip model.dat', each row contains the moment rate function of each sub-fault. The numbers of the sub-faults are given in the first two columns.</p>
Table 3 for the Study: "Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth."
<p><strong>Study of σFR gravitational forces exerted by the angular distances of all 9 S.S. celestial bodies toward Earth: L'Aquila Earthquake, 06.04.2009, Italy, M6.1 for Section 2.9.</strong></p><p>In case of display problems or missing data, the file <a href="https://zenodo.org/api/files/30eebe1b-d3a1-406a-975c-23ad8abe143f/Table_3_FR_L'Aquila_2009.xlsx?versionId=c778a73b-60c6-4504-a178-8edb1471e98c">Table_3_FR_L'Aquila_2009.xlsx</a> on Drive available for consultation is this one: <a href="https://docs.google.com/spreadsheets/d/1QteARypgGETNkbLB_O0VNWfmrYa0saFWvX0z1EacDEo/edit?usp=sharing">https://docs.google.com/spreadsheets/d/1QteARypgGETNkbLB_O0VNWfmrYa0saFWvX0z1EacDEo/edit?usp=sharing</a></p><p>The URL of the Calculation Excel sheet that allows calculation of the resulting gravitational force σFR in the month of the 2009 L'Aquila earthquake, M6.1 (n. 85), in the study <i>"</i>Correlation Study: Triggering and Magnitude of Earthquakes in Italy (≥M4.3) in Relation to the Positions and Gravitational Forces of the Sun, Moon, and Planets Relative to Earth<i>", </i>Section 2.9.</p>
Table 8 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy."
<p><strong>Graphs of the data distributions, with the R<sup>2</sup> regression values of σFR and the corresponding functions.</strong></p> <p>In case of display problems or missing data, the file <a href="https://zenodo.org/api/files/305630bd-70bd-4347-99eb-bfd6fb3af726/Table%208_SFR_distributions_curves.xlsx">Table 8_SFR_distributions_curves.xlsx</a> on Drive available for consultation is this one: <a href="https://docs.google.com/spreadsheets/d/17UGHZlvZ2N-g6TOzgqpIe248_IitBmka8DbGWsv-lKQ/edit?usp=sharing">https://docs.google.com/spreadsheets/d/17UGHZlvZ2N-g6TOzgqpIe248_IitBmka8DbGWsv-lKQ/edit?usp=sharing</a> </p> <p>URL of the plots of the data distributions, with the <strong>R<sup>2</sup></strong> regression values of σFR at the time of the triggering of the 200 earthquakes analyzed in the paper <em>"Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy", paragraph </em><strong>3.02.</strong></p>
Table 4 for the Study: "Observation of correlation between earthquake triggering of M>4.3 and specific Sun-Moon-Planets positions in the Solar System, from 1600 in Italy."
<p><strong>Video explaining the determination of the Resulting Gravitational Force sigma for the 2009 L'Aquila earthquake.</strong></p> <p>For subtitles in English: <a href="https://youtu.be/-OVk2r8U8QA?t=563">https://youtu.be/-OVk2r8U8QA?t=563</a> --> URL of the video explaining the determination of the Resulting Gravitational Force sigma for the 2009 L'Aquila earthquake, for the article "Correlation observation between the triggering of M>4.3 earthquakes and specific Sun-Moon-Planet positions in the Solar System since 1600 in Italy" , SUBTITLES IN EN, paragraph 2.16.</p>
Slip model of the 2022 Mw 6.6 Luding earthquake from inversion of GNSS and Sentinel-1A satellites
<p>2022年Mw 6.6泸定地震的滑移模型,来自GNSS和Sentinel-1A卫星的反演“2022年Mw 6.6泸定地震滑移模型,GNSS和Sentinel-1A卫星反演”中使用的GNSS数据</p>
Sand Dunes Earthquake Locations - hypoDD using Rio Grande Rift velocity model is preferred
<p>From the publication "Earthquake swarm near Great Sand Dunes, Colorado, investigated with temporary seismic network and machine learning seismic phase analysis." in the Mountain Geologist.</p> <p>Three catalogs were produced using different location algorithms. The catalog titled hypoDD_RGR is the preferred catalog.</p> <p>There were 717 events located by glass3 and SEISAN. 700 of those events were located by hypoDD. Column hypoDD_ID reconciles the events in all three catalogs.</p>
Sheldon Nevada Earthquake Sequence Datasets
<p>This repository contains two movie visualizations and three datasets related to the Sheldon, NV (USA) earthquake sequence.</p> <p>The movies are as follows:</p> <ol> <li>movie_S1.mp4 provides a 3D visualization of the hypocentral locations of relocated Sheldon earthquakes, including the best fitting fault plane (a dipping normal fault) for the main part of the sequence. Events are color-coded by depth.</li> <li>movie_S2.mp4 shows a time-evolution of relocated earthquakes, with events plotting in map view and color-coded by the distance from the fault plane shown in movie_S1.mp4. </li> </ol> <p> </p> <p>The datasets consist of two ASCII text files:</p> <ol> <li>vzmodel.nonlinloc.txt is the velocity model used in the absolute and relative relocations (<a href="http://alomax.free.fr/nlloc/soft6.00/index.html">NonLinLoc format</a>). </li> <li>growclust_relocations.txt is the relocated catalog for the sequence in <a href="https://github.com/dttrugman/GrowClust3D.jl/wiki/Documentation#output-files">GrowClust3D.jl output format</a>.</li> <li>sheldon_mt_compilation.csv is a compilation of moment tensor inversions for select larger earthquakes in the sequence. The columns are labeled in the file header:</li> </ol> <ul> <li>evid, datetime = NSL event id and centroid time</li> <li>lat, lon, depth = centroid position</li> <li>mw, mo: moment magnitude and moment in dyne-cm</li> <li>var: variance reduction of the fit</li> <li>mrr, mtt, mff, mrt, mrf, mtf: moment tensor components</li> <li>rlat, rlon, rdep: hypocentral position in relocated catalog</li> <li>reloc: indicator of a relocated event</li> <li>s1, d1, r1: strike, dip, rake of nodal plane 1</li> <li>s2, d2, d2: strike, dip, rake of nodal plane 2 </li> </ul>
Offshore active faults associated with the 2020 Masbate earthquake investigation
<p>This dataset includes the vector files of the offshore active fault traces mapped using acoustic sub-bottom profiling and interpretation of archived seismic profiles. The acoustic sub-bottom profiling survey was conducted in March and June 2021. The archived seismic profiles were acquired from the Department of Energy (DOE) of the Philippine government. </p>
Surface rupture data associated with the 2020 Mw 6.6 Masbate earthquake, Philippines
<p> </p> <p>The dataset comprises vector files depicting the delineated surface rupture associated with the 2020 Mw 6.6 Masbate earthquake, along with field measurements recorded in a spreadsheet. Mapping of the surface rupture was conducted using ground and drone surveys. The field measurements, taken with tape measures, were supplemented with measurements derived from drone orthophotos.</p>
Energy of shallow tremors and moment of shallow very low frequency earthquakes in Hyuga-nada, southwest Japan
<p>We estimated energies of shallow tremors detected by Yamashita et al. (2015) and Yamashita et al. (2021), and moments of shallow very low frequency earthquakes (VLFEs) detected by Asano et al. (2015) and those temporally correlated with shallow tremors detected by Yamashita et al. (2015) and Yamashita et al. (2021) in Hyuga-nada. We also evaluated scaled energies of shallow slow earthquakes in Hyuga-nada by the ratio of energy rate of tremors to moment rate of accompanying VLFEs.</p> <p>The method of estimation of energies of tremors and moments of VLFEs is written in Baba et al. (2024 <a href="https://doi.org/10.1093/gji/ggae039">https://doi.org/10.1093/gji/ggae039</a>). The content of each column is written in the first line of each file. The time is written in JST (UTC+9).</p> <p>tremor_2013.txt: Energy of shallow tremors in 2013 detected by Yamashita et al. (2015) (https://doi.org/10.1126/science.aaa4242).<br>tremor_2015.txt: Energy of shallow tremors in 2015 detected by Yamashita et al. (2021) (https://doi.org/10.1186/s40623-021-01533-x).<br>VLFE_2010.txt: Moments of shallow VLFEs in 2010 detected by Asano et al. (2015) (https://doi.org/10.1002/2014GL062165).<br>VLFE_2013.txt: Moments of shallow VLFEs correlated with shallow tremors in 2013 detected by Yamashita et al. (2015) (https://doi.org/10.1126/science.aaa4242) and scaled energy of slow earthquakes.<br>VLFE_2015.txt: Moments of shallow VLFEs correlated with shallow tremors in 2015 detected by Yamashita et al. (2021) (https://doi.org/10.1186/s40623-021-01533-x) and scaled energy of slow earthquakes.<br>(Version 2: site amplification factors of tremor energy estimation at the reference station N.TASF was changed to be set as 2)</p>
Dynamic rupture of the 2021 MW 7.4 Maduo earthquake
<p>The dataset includes the figures and data in the article "Dynamic rupture of the 2021 MW 7.4 Maduo earthquake: An intra-block event controlled by fault geometry".</p>
Ground motions for the Greater Wellington Region from selected synthetic earthquakes, modelled using OpenQuake
<p>Model results and plots forming an electronic supplement to the GNS Science Report: </p> <p>Howell A, Penney C, Kaiser AE, Fry B. 2023. Modelling ground motions in the Greater Wellington region from multi-fault earthquakes in central Aotearoa New Zealand. Lower Hutt (NZ): GNS Science. 19 p. (GNS Science report; 2023/45). https://doi.org/10.21420/Z9SM-0G27 . </p> <p>The folder includes:</p> <ul> <li>A CSV file containing summary information for each of the 20 modelled earthquakes.</li> <li>Plots of the slip distribution of each event.</li> <li>Plots of shaking (PGA, Sa(0.5) and (Sa(1.5) for each event).</li> <li>GeoTIFFs representing the crustal and subduction components of ground motions for each earthquake.</li> </ul> <p>Please read the report for details of the modelling and limitations of the approach.</p> <p> </p> <p> </p>
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