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Published in 2020 at "Earth and Planetary Science Letters"
DOI: 10.1016/j.epsl.2020.116493
Abstract: Abstract Broadband and long-period magnetotelluric (MT) data were used to obtain a continuous image of the lithospheric electrical conductivity structure across the southeastern Tibetan Plateau margin, where long-wavelength crustal thickening and surface uplift have been…
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Keywords:
topography;
magnetotelluric data;
crustal flow;
tibet ... See more keywords
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Published in 2020 at "Journal of Applied Geophysics"
DOI: 10.1016/j.jappgeo.2019.103919
Abstract: Abstract De-noising the magnetotelluric (MT) data using the conventional time-series editing methods is at the risk of losing low-frequency signals, especially the signal below 1 Hz. To overcome this deficiency, we propose a combinatorial method based…
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Keywords:
magnetotelluric data;
data using;
frequency;
sparse representation ... See more keywords
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Published in 2022 at "Geophysical Journal International"
DOI: 10.1093/gji/ggac029
Abstract: SUMMARY The footprint of a mineral system is potentially detectable at a range of scales and lithospheric depths, reflecting the size and distribution of its components. Magnetotellurics is one of a few techniques that can…
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Keywords:
magnetotelluric data;
region;
conductivity;
multiscale ... See more keywords
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Published in 2021 at "Geophysical Prospecting"
DOI: 10.1111/1365-2478.13058
Abstract: Magnetotelluric is one of the mainstream exploration geophysical methods, which plays a vital role in studying deep geological structures and finding deep hidden blind ore bodies. The seriousness of human electromagnetic noise causes a large…
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Keywords:
time;
dictionary training;
magnetotelluric signals;
method ... See more keywords
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Published in 2019 at "Moscow University Geology Bulletin"
DOI: 10.3103/s0145875219060139
Abstract: Two applications of 3D inversion of magnetotelluric data using the Lomonosov supercomputer are discussed. The effectiveness of the chosen inversion approach for several real geological objects is demonstrated. Each object belongs to a different class…
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Keywords:
inversion;
inversion large;
large volumes;
magnetotelluric data ... See more keywords