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Three-dimensional inversion of gravity data using the Levy PDF for depth weighting and a rank order smoothing Constraint

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985530%3A_____%2F25%3A00619730" target="_blank" >RIV/67985530:_____/25:00619730 - isvavai.cz</a>

  • Result on the web

    <a href="https://link.springer.com/article/10.1007/s11004-024-10173-2" target="_blank" >https://link.springer.com/article/10.1007/s11004-024-10173-2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11004-024-10173-2" target="_blank" >10.1007/s11004-024-10173-2</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Three-dimensional inversion of gravity data using the Levy PDF for depth weighting and a rank order smoothing Constraint

  • Original language description

    Three-dimensional inversion of gravity data consists of an ill-posed and underdetermined system of equations. To overcome this problem, inversions are generally regularized using various stabilizing functionals, and depth weighting is also often implemented to adjust depths of the recovered structures due to the lack of depth resolution of vertical component gravity data. By exploiting the ease of implementation of nonlinear filters such as smoothing operators, we demonstrated rank order smoothing as a nonlinear constraint to regularize the three-dimensional gravity inversion problem and applied a new depth weighting scheme based on the Levy probability density function. Synthetic experiments showed that the rank order smoothing successfully provides boundary information by eliminating low-frequency fluctuations in the recovered models while minimizing the observed-calculated data misfit. The proposed depth weighting approach was found to be able to emphasize depths in which anomalous structures are considered to be more probable. Thereafter, the proposed inversion scheme was demonstrated on field gravity data collected in the SinanpasanGraben in western Turkey to reveal faults and the general basin structure. The results suggest that rank order smoothing can produce models that agree with the geology and are easier to interpret.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10505 - Geology

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Mathematical Geosciences

  • ISSN

    1874-8961

  • e-ISSN

    1874-8953

  • Volume of the periodical

    57

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    DE - GERMANY

  • Number of pages

    23

  • Pages from-to

    523-545

  • UT code for WoS article

    001395454100001

  • EID of the result in the Scopus database

    2-s2.0-85217424790