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  • 1
    Publikationsdatum: 2022-05-25
    Beschreibung: Author Posting. © American Geophysical Union, 2013. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geochemistry, Geophysics, Geosystems 14 (2013): 806–827, doi:10.1002/ggge.20075.
    Beschreibung: Seismic velocity is a function of bulk vibrational properties of the media, whereas electrical resistivity is most often a function of transport properties of an interconnected minor phase. In the absence of a minor conducting phase then the two should be inter-relatable primarily due to their sensitivity to temperature variation. We develop expressions between shear wave velocity and resistivity for varying temperature, composition, and water content based on knowledge from two kimberlite fields: Jagersfontein (Kaapvaal Craton) and Gibeon (Rehoboth Terrane). We test the expressions through comparison between a new high-resolution regional seismic model, derived from surface wave inversion of earthquake data from Africa and the surrounding regions, and a new electrical image from magnetotelluric (MT) data recorded in SAMTEX (Southern African Magnetotelluric Experiment). The data-defined robust linear regression between the two is found to be statistically identical to the laboratory-defined expression for 40 wt ppm water in olivine. Cluster analysis defines five clusters that are all geographically distinct and tectonically relate to (i) fast, cold, and variably wet Kaapvaal Craton, (ii) fast and wet central Botswana, (iii) slow, warm, and wet Rehoboth Terrane, (iv) moderately fast, cold, and very dry southernmost Angola Craton, and (v) slow, warm, and somewhat dry Damara Belt. From the linear regression expression and the MT image we obtain predicted seismic velocity at 100 km and compare it with that from seismic observations. The differences between the two demonstrate that the linear relationship between Vs and resistivity is appropriate for over 80% of Southern Africa. Finally, using the regressions for varying water content, we infer water content in olivine across Southern Africa.
    Beschreibung: We wish to again acknowledge the three main funding agencies, the U.S. National Science Foundation’s Continental Dynamics Program (grant EAR0455242 to RLE), the South African Department of Science and Technology (grant to South African Council for Geoscience), and Science Foundation Ireland (grant 05/RGP/GEO001 to AGJ), for their support. Industry support for SAMTEX from De Beers Group Services, BHP Billiton and Rio Tinto Mining and Exploration resulted in a program far more extensive than originally conceived. S.F. has been supported by the NERC New Investigator grant NE/G000859/1. M.M. wishes to thank Science Foundation Ireland (grant 08/RFP/GEO1693 SAMTEX to AGJ) for support. J.F. wishes to thank Enterprise Ireland (grant Topo-Med to AGJ), Science Foundation Ireland (grant 10/IN.1/I3022 IRETHERMto AGJ), and the JAE-DOC Programme from Spanish CSIC, cofunded by FSE for support.
    Beschreibung: 2013-10-05
    Schlagwort(e): Continental lithosphere ; Cratons ; Velocity ; Resistivity
    Repository-Name: Woods Hole Open Access Server
    Materialart: Article
    Format: application/pdf
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 2
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Rajaonarison, Tahiry A; Stamps, D Sarah; Fishwick, Stewart; Brune, Sascha; Glerum, Anne; Hu, Jingwen (2020): Numerical Modeling of Mantle Flow Beneath Madagascar to Constrain Upper Mantle Rheology Beneath Continental Regions. Journal of Geophysical Research: Solid Earth, 125(2), e2019JB018560, https://doi.org/10.1029/2019JB018560
    Publikationsdatum: 2023-01-13
    Beschreibung: We provide model outputs from "Numerical Modeling of Mantle Flow beneath Madagascar to Constrain Upper Mantle Rheology Beneath Continental Regions" submitted to Journal of Geophysical Research, Solid-Earth. The model outputs are 6 spreadsheets which contain calculated splitting parameters and TI axes or synthetic Lattice Preferred Orientations (LPO) derived from 3 regional mantle flow models in Madagascar: Edge Driven Convection (EDC) model, lithosphere-mantle wind model from Behn et al. (2004), and lithosphere-mantle wind model from Forte et al. (2010): 1. model1_splitting parameters.xlsx: calculated splitting parameters derived from Edge Driven Convection (EDC) at individual stations formatted as: Stations name, longitude [◦], latitude[◦], calculated fast azimuth φcalc[◦], calculated fast azimuth standard deviation [◦], and delay time δt [sec]. 2. model2_splitting parameters.xlsx: calculated splitting parameters derived from lithosphere-mantle wind of Behn et al. (2004) at individual stations formatted as: Stations name, longitude [◦], latitude[◦], calculated fast azimuth φcalc[◦], calculated fast azimuth standard deviation [◦], and delay time δt [sec]. 3. model3_splitting parameters.xlsx: calculated splitting parameters derived from lithosphere-mantle wind of Forte et al. (2010) at individual stations formatted as: Stations name, longitude [◦], latitude[◦], calculated fast azimuth φcalc[◦], calculated fast azimuth standard deviation [◦], and delay time δt [sec]. 4. model1_TI axis.xlsx: calculated EDC-derived TI axes at individual seismic stations and at regular grids of 0.5◦×0.5◦. The file is formatted as longitude [◦], latitude[◦], depth [km], azimuth [◦], and percentage anisotropy [%]. 5. "model2_TI axis.xlsx": calculated TI axes derived from lithosphere-mantle wind of Behn et al. (2004) at individual seismic stations and at regular grids of 0.5◦×0.5◦. The file is formatted as longitude [◦], latitude[◦], depth [km], azimuth [◦] , and percentage anisotropy [%]. 6. "model3_TI axis.xlsx": calculated TI axes derived from lithosphere-mantle wind of Forte et al. (2010) at individual seismic stations and at regular grids of 0.5◦×0.5◦. The file is formatted as longitude [◦], latitude[◦], depth [km], azimuth [◦], and percentage anisotropy [%].
    Schlagwort(e): Edge Driven Convection; seismic anisotropy; File content; File format; File name; File size; lattice preferred orientation (LPO); Madagascar; Uniform resource locator/link to file
    Materialart: Dataset
    Format: text/tab-separated-values, 30 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 3
    Publikationsdatum: 2023-12-02
    Schlagwort(e): Africa, Malawi; gravity; LAB; LATITUDE; Lithosphere-asthenosphere boundary depth; LONGITUDE; Malawi; Malawi_rift_area; Moho; SAT; Satellite remote sensing
    Materialart: Dataset
    Format: text/tab-separated-values, 289 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 4
    facet.materialart.
    Unbekannt
    PANGAEA
    In:  Supplement to: Njinju, Emmanuel A; Atekwana, Estella A; Stamps, D Sarah; Abdelsalam, Mohamed G; Atekwana, Eliot A; Mickus, Kevin L; Fishwick, Stewart; Kolawole, Folarin; Rajaonarison, Tahiry A; Nyalugwe, Victor N (2019): Lithospheric Structure of the Malawi Rift: Implications for Magma‐Poor Rifting Processes. Tectonics, 38(11), 3835-3853, https://doi.org/10.1029/2019TC005549
    Publikationsdatum: 2023-12-02
    Beschreibung: The data files contain the depth to Moho and depth to LAB beneath the Malawi Rift and surroundings generated from spectral analysis of WGM2012 Bouguer gravity anomalies. Latitude (degree), longitude (degree) and depth (km).
    Schlagwort(e): Africa, Malawi; gravity; LAB; Malawi; Malawi_rift_area; Moho; SAT; Satellite remote sensing
    Materialart: Dataset
    Format: application/zip, 2 datasets
    Standort Signatur Einschränkungen Verfügbarkeit
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  • 5
    Publikationsdatum: 2023-12-02
    Schlagwort(e): Africa, Malawi; gravity; LAB; LATITUDE; LONGITUDE; Malawi; Malawi_rift_area; Moho; Mohorovicic Discontinuity depth; SAT; Satellite remote sensing
    Materialart: Dataset
    Format: text/tab-separated-values, 289 data points
    Standort Signatur Einschränkungen Verfügbarkeit
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