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Earthquake Magnitude Estimation using Precise Point Positioning

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26110%2F21%3APU142420" target="_blank" >RIV/00216305:26110/21:PU142420 - isvavai.cz</a>

  • Alternative codes found

    RIV/00025615:_____/21:N0000037

  • Result on the web

    <a href="https://iopscience.iop.org/article/10.1088/1755-1315/906/1/012107" target="_blank" >https://iopscience.iop.org/article/10.1088/1755-1315/906/1/012107</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1088/1755-1315/906/1/012107" target="_blank" >10.1088/1755-1315/906/1/012107</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Earthquake Magnitude Estimation using Precise Point Positioning

  • Original language description

    An accurate estimation of an earthquake magnitude plays an important role in targeting emergency services towards affected areas. Along with the traditional methods using seismometers, site displacements caused by an earthquake can be monitored by the Global Navigation Satellite Systems (GNSS). GNSS can be used either in real-time for early warning systems or in offline mode for precise monitoring of ground motion. The Precise Point Positioning (PPP) offers an optimal method for such purposes, because data from only one receiver are considered and thus not affected by other potentially not stable stations. Precise external products and empirical models have to be applied, and the initial convergence can be reduced or eliminated by the backward smoothing strategy or integer ambiguity resolution. The product for the magnitude estimation is a peak ground displacement (PGD). PGDs observed at many GNSS stations can be utilized for a robust estimate of an earthquake magnitude. We tested the accuracy of estimated magnitude scaling when using displacement waveforms collected from six selected earthquakes between the years 2016 and 2020 with magnitudes in a range of 7.5– 8.2 Moment magnitude MW. We processed GNSS 1Hz and 5Hz data from 182 stations by the PPP method implemented in the G-Nut/Geb software. The precise satellites orbits and clocks corrections were provided by the Center for Orbit Determination in Europe (CODE). PGDs derived on individual GNSS sites formed the basis for ground motion parameters estimation. We processed the GNSS observations by the combination of the Kalman filter (FLT) and the backward smoother (SMT), which significantly enhanced the kinematic solution. The estimated magnitudes of all the included earthquakes were compared to the reference values released by the U. S. Geological Survey (USGS). The moment magnitude based on SMT was improved by 20% compared to the FLT-only solution. An average difference from the comparison was 0.07 MW and 0.09 MW

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    10505 - Geology

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2021

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    7th World Multidisciplinary Earth Sciences Symposium, WMESS 2021

  • ISBN

  • ISSN

    1755-1307

  • e-ISSN

  • Number of pages

    10

  • Pages from-to

    1-10

  • Publisher name

    IOP Publishing

  • Place of publication

    Bristol (UK)

  • Event location

    Praha

  • Event date

    Sep 6, 2021

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article