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6 results for “Fault Scarp”
Fault scarp and structural measurements along the Thyolo Fault, southern Malawi
<p>Measurements of fault scarp height, topographic profiles used to measure fault scarp and metamorphic foliation measurements along the Thyolo Fualt, southern Malawi.</p> <p>This dataset is used in Wedmore, LNJ, Williams, JN, Biggs, J, Fagereng, Å, Mphepo, F, Dulanya, Z, Willoughby, J, Mdala, H, Adams, BA. 2020. Structural inheritance and border fault reactivation during active early-stage rifting along the Thyolo fault Malawi. <em>Journal of Structural Geology</em>, 139, 104097. <a href="https://doi.org/10.1016/j.jsg.2020.104097">https://doi.org/10.1016/j.jsg.2020.104097</a></p> <p>For more information please contact luke.wedmore@bristol.ac.uk</p>
Luangwa Rift Fault Scarp Measurements
<p>First Release associated with submission of article to EGU Solid Earth.</p> <p>Scarp height measurements for faults in the Luangwa Rift performed by Tess Turner for her University of Bristol MSci Earth Sciences final year project.</p> <p>If you use these measurements please cite the following paper in addition to this dataset:</p> <p>Turner, T., Wedmore, L.N.J., Biggs, J., Williams, J. Sichingabula, H.M., Kabumbu, C. Banda, K. The Luangwa Rift Active Fault Database and fault reactivation along the southwestern branch of the East African Rift. <em>In preparation for Solid Earth</em></p> <p>These measurements were performed on SRTM data using the method outlined in <a href="https://doi.org/10.1029/2019TC005834">Wedmore et al., 2020</a>. Topographic profiles were sampled event 30 m and stacked at 120 m intervals along strike.</p> <p>Four faults in the Luangwa Rift have been measured using this technique: The Chipola, Chitembo, Kabungo and Molaza faults. The traces of these faults, and all other known active faults in the Luangwa Rift have been separately archived as part of the <a href="https://github.com/LukeWedmore/luangwa_rift_active_fault_database">Luangwa Rift Active Fault Database</a>.</p> <p><strong>Data Format</strong></p> <p>Files are provided in comma separated value (<a href="https://datatracker.ietf.org/doc/html/rfc4180">csv</a>) format. Each file contains one header line with descriptions of the data contained within each column. The column headings and extra information are summarised in the table below. Where data columns #5-10 are blank, this is because no measurements were possible in the profile corresponding to that particular row number. If columns 11-16 are blank, this is because there are no scarp height measurements within the sampling window of the moving average.</p> <p><strong>Attribute Table</strong></p> <table align="left"> <caption>Attribute Table for the measurements of scarp height in the Luangwa Rift</caption> <thead> <tr> <th scope="col">Column #</th> <th scope="col">Attribute</th> <th scope="col">Units</th> <th scope="col">Data Type</th> <th scope="col">Notes</th> </tr> </thead> <tbody> <tr> <td>1</td> <td>Longitude</td> <td>decimal degrees</td> <td>Float</td> <td> </td> </tr> <tr> <td>2</td> <td>Latitude</td> <td>decimal degrees</td> <td>Float</td> <td> </td> </tr> <tr> <td>3</td> <td>Distance Along Fault</td> <td>kilometers</td> <td>Float</td> <td> </td> </tr> <tr> <td>4</td> <td>Distance Along Fault</td> <td>meters</td> <td>Integer</td> <td> </td> </tr> <tr> <td>5</td> <td>Scarp Height</td> <td>meters</td> <td>Float</td> <td>Mean scarp height measurement of 10,000 iterations of scarp height with varying subset of points in the hanging wall, scarp and footwall slopes.</td> </tr> <tr> <td>6</td> <td>Scarp Height Standard Deviation</td> <td>meters</td> <td>Float</td> <td>Standard deviation of 10,000 iterations of meausuring the scarp height with varying subset of points in the hanging wall, scarp and footwall slopes.</td> </tr> <tr> <td>7</td> <td>Upper Slope Angle </td> <td>degrees</td> <td>Float</td> <td>Mean upper slope dip angle of 10,000 iterations of subset of points selected from the footwall slope (above the top of the fault scarp).</td> </tr> <tr> <td>8</td> <td>upper Slope Angle Standard Deviation</td> <td>degrees</td> <td>Float</td> <td>Standard devation of upper slope angle of 10,000 random subsets of the points selected on the upper slope of the fault.</td> </tr> <tr> <td>9</td> <td>Lower Slope Angle</td> <td>degrees</td> <td>Float</td> <td>Mean lower slope dip angle of 10,000 iterations of subset of points selected from the hanging wall slope.</td> </tr> <tr> <td>10</td> <td>lower Slope Angle Standard Deviation</td> <td>degrees</td> <td>Float</td> <td>Standard devation of lower slope angle of 10,000 random subsets of the points selected on the lower slope of the fault.</td> </tr> <tr> <td>11</td> <td>Filtered median offset (1 km)</td> <td>meters</td> <td>Float</td> <td>median scarp height over 1 km of the distance along strike (0.5 km either side of the point).</td> </tr> <tr> <td>12</td> <td>filtered standard deviation (1km)</td> <td>meters</td> <td>Float</td> <td>standard deviation scarp height over 1 km of the distance along strike (0.5 km either side of the point).</td> </tr> <tr> <td>13</td> <td>Filtered median offset (3 km) </td> <td>meters</td> <td>Float</td> <td>median scarp height over 3 km of the distance along strike (1.5 km either side of the point).</td> </tr> <tr> <td>14</td> <td>filtered standard deviation (3km)</td> <td>meters</td> <td>Float</td> <td>standard deviation scarp height over 3 km of the distance along strike (1.5 km either side of the point).</td> </tr> <tr> <td>15</td> <td>Filtered median offset (5 km)</td> <td>meters</td> <td>Float</td> <td>median scarp height over 5 km of the distance along strike (2.5 km either side of the point).</td> </tr> <tr> <td>16</td> <td>filtered standard deviation (5km)</td> <td>meters</td> <td>Float</td> <td>standard deviation scarp height over 5 km of the distance along strike (2.5 km either side of the point).</td> </tr> </tbody> </table> <p><br> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p><strong>Version Control</strong><br> This release is archived as part of the publication Turner et al. (submitted to EGU Solid Earth). It is intended that this database will be updated in the future as high resolution topography products become available and/or methods for measuring fault scarps improve. Please contact Luke Wedmore <<a href="mailto:luke.wedmore@bristol.ac.uk?subject=Luangwa%20Rift%20Fault%20Scarp%20Measurements%20Zenodo%20Upload">luke.wedmore@bristol.ac.uk</a>> for more information or if you spot any errors.</p> <p><strong>References</strong><br> Wedmore, L.N.J., Biggs, J., Williams, J.N., Fagereng, Å., Dulanya, Z., Mphepo, F., Mdala, H. (2020) Active Fault Scarps in Southern Malawi and Their Implications for the Distribution of Strain in Incipient Continental Rifts. _Tectonics_, 39(3), e2019TC005834, <a href="https://doi.org/10.1029/2019TC005834">doi.org/10.1029/2019TC005834</a></p>
Supplementary materials for: Multiple ruptures on the North Sofia fault at Gorni Bogrov from scarp profile and shallow geophysics
<p>The data set contains resistivity data of two profiles that were measured at Gorno Bogrov site in the Sofia basin in Bulgaria. The resistivity survey was performed to study the North Sofia fault.</p> <p>The resistivity data in files r1ohm.tx and r2ohm.txt should be inverted using the BERT software (http://resistivity.net/) with configuration files r1cfg.txt and r2icfg.txt, respectively. The file bog2.txt contains fault coordinates for constraining the inversion mesh of the shorter profile (files r2ohm.txt, r2icfg.txt).</p> <p>The data set was collected within the project Assessment of Earthquake Ground Motion Amplification in the Sofia Basin (<a href="http://sofiabasin.atwebpages.com/">http://sofiabasin.atwebpages.com/</a>), funded by the Bulgarian National Science Fund, contract number KP-06-N64/1 from 15.12.2022.</p>
Millennial slip-rates variability of along-strike active faults in the Italian Southern Apennines revealed by cosmogenic 36Cl dating of fault scarps
<p>Supporting information for "<span>Millennial slip-rates variability of along-strike active faults in the Italian Southern Apennines revealed by cosmogenic <sup>36</sup>Cl dating of fault scarps"</span></p>
Matlab Algorithm for Systematic Vertical Separation Measurements of Tectonic Fault Scarps
<p>We have studied the topography along the Lost River Fault in Idaho (USA) and in particular the rupture zone generated by the strong 1983 Borah Peak earthquake (M<sub>w</sub> 6.9) almost 40 years after its occurrence. Our first reason for acquiring these data was to systematically measure vertical separation (VS) along the fault.<br> To do this we have developed and implemented a scarp analysis algorithm in MATLAB (www.mathworks.com) which enables users to measure the vertical separation from a topographic profile. The code constructs a topographic profile along the preferred trend (generally perpendicular to the fault trace) and projects the best-fit lines to each of the hanging wall and footwall flat to the fault location. The vector difference between the intersection of these lines with a vertical plane at the fault location is the vertical separation. Please see the code guide for additional detail. </p>
Data used in the manuscript entitled: The Curious Case of Short Fault Scarp in the Podhale Basin (Western Carpathians): implications for Late Pleistocene geodynamics
<p><strong>Manuscript Abstract: </strong>Areas with low deformation rates, such as continental interiors or mature orogens like the Western Carpathians, may represent significant seismic hazard zones, albeit still insufficiently recognized. Relatively low-magnitude earthquakes occurring in such regions pose challenges for paleoseismology, despite occasional documented surface fault ruptures. However, all these ruptures fit the empirical displacement-length scaling relationships. This study focuses on a scarp located in the Podhale Basin (Central Western Carpathians) that deviates from these empirical laws. Despite its relatively short length of only 3 km, the scarp, measuring up to 8 m in height, presents several indications of its tectonic origin. Geophysical GPR and ERT surveys revealed a vertical discontinuity directly beneath the scarp. We identified distinct features interpreted as a fault zone in a trench across the scarp. Lacking material suitable for dating, we estimated the age of the fault scarp at 26.3 ± 14.5 ka using simple linear diffusion modeling. However, this result requires caution due to assumptions like scarp formation from a single event. Yet, the consistency of the estimated age with the superposition of the scarp relative to the morphology and weathered covers from the last glaciation is noteworthy. Furthermore, morphological and geological mapping suggests the dextral oblique kinematics of the studied fault. The prevailing trend of NE (NNE) compression across the Podhale and Orava basins and the Tatra Mountains aligns the dextral Brzegi fault with the broader Alpine-Carpathian geodynamic framework. The Brzegi fault, as part of the broader Białka fault zone, provides evidence of far-field effects, serving as an NNW-striking dextral antithetic fault to major sinistral NE-SW striking faults. The recognized pattern indicates the continued post-Miocene Alpine extrusion toward the Carpathians. </p> <p><strong>In this dataset, we make available:</strong></p> <p>iPhone13Pro LiDAR scan of the trench (texture_output)</p> <p>high-resolution orthophotomosaic (Brzegi_trench.tif)</p> <p>PDF file with methods and results of simple linear scarp diffusion modeling</p> <p>PDF file with methods and all geophysical profiles surveyed with electrical resistivity tomography (ERT), induced polarization tomography (IP), and ground-penetrating radar (GPR) </p> <p> </p>
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