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Strong Ground Motion Simulation for Forecasting the Probable Seismic Impacts in the Territory of the Republic of North Ossetia–Alania.

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Title: Strong Ground Motion Simulation for Forecasting the Probable Seismic Impacts in the Territory of the Republic of North Ossetia–Alania.
Authors: Chernov, Yu. K.1 (AUTHOR) cgi_ras@mail.ru, Zaalishvili, V. B.1 (AUTHOR) vzaal@mail.ru, Chernov, A. Yu.2 (AUTHOR)
Source: Izvestiya, Physics of the Solid Earth. Sep2020, Vol. 56 Issue 5, p644-655. 12p.
Subject Terms: *Earthquake intensity, *Earthquake zones, *Earthquake magnitude, *Motion, *Accelerograms, *Geological modeling
Geographic Terms: North Ossetia (Russia), Caucasus
Abstract: Abstract—The models based on the empirical data are proposed for probabilistic forecasting the characteristics of strong ground motions (SGM) from the earthquakes, potentially dangerous for the territory of the Republic of North Ossetia–Alania. We consider the models of SGM characteristics that are most important in the engineering practice (macroseismic intensities of ground shaking, peak ground accelerations, periods, durations, spectra, and strong-motion accelerograms) in the vicinity of the sources of earthquakes of different magnitudes and at different distances from the sources in application to the seismogeological conditions of the study region. The models are developed using both the conventional statistical analysis of a large amount of data on instrumental recording and macroseismic description of the strong and perceivable earthquakes in the Caucasus and other seismically active regions of the world and a new method for reconstructing the spectra of the strong earthquakes from their macroseismic field. The cross-comparison of the estimates obtained based on the proposed models with each other and with the estimates obtained by the other authors has shown that they are fairly realistic and reliable. [ABSTRACT FROM AUTHOR]
Database: Energy & Power Source
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An: 146320069
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  Data: Strong Ground Motion Simulation for Forecasting the Probable Seismic Impacts in the Territory of the Republic of North Ossetia–Alania.
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  Data: <searchLink fieldCode="AR" term="%22Chernov%2C+Yu%2E+K%2E%22">Chernov, Yu. K.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> cgi_ras@mail.ru</i><br /><searchLink fieldCode="AR" term="%22Zaalishvili%2C+V%2E+B%2E%22">Zaalishvili, V. B.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> vzaal@mail.ru</i><br /><searchLink fieldCode="AR" term="%22Chernov%2C+A%2E+Yu%2E%22">Chernov, A. Yu.</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Izvestiya%2C+Physics+of+the+Solid+Earth%22">Izvestiya, Physics of the Solid Earth</searchLink>. Sep2020, Vol. 56 Issue 5, p644-655. 12p.
– Name: Subject
  Label: Subject Terms
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  Data: *<searchLink fieldCode="DE" term="%22Earthquake+intensity%22">Earthquake intensity</searchLink><br />*<searchLink fieldCode="DE" term="%22Earthquake+zones%22">Earthquake zones</searchLink><br />*<searchLink fieldCode="DE" term="%22Earthquake+magnitude%22">Earthquake magnitude</searchLink><br />*<searchLink fieldCode="DE" term="%22Motion%22">Motion</searchLink><br />*<searchLink fieldCode="DE" term="%22Accelerograms%22">Accelerograms</searchLink><br />*<searchLink fieldCode="DE" term="%22Geological+modeling%22">Geological modeling</searchLink>
– Name: SubjectGeographic
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  Data: <searchLink fieldCode="DE" term="%22North+Ossetia+%28Russia%29%22">North Ossetia (Russia)</searchLink><br /><searchLink fieldCode="DE" term="%22Caucasus%22">Caucasus</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Abstract—The models based on the empirical data are proposed for probabilistic forecasting the characteristics of strong ground motions (SGM) from the earthquakes, potentially dangerous for the territory of the Republic of North Ossetia–Alania. We consider the models of SGM characteristics that are most important in the engineering practice (macroseismic intensities of ground shaking, peak ground accelerations, periods, durations, spectra, and strong-motion accelerograms) in the vicinity of the sources of earthquakes of different magnitudes and at different distances from the sources in application to the seismogeological conditions of the study region. The models are developed using both the conventional statistical analysis of a large amount of data on instrumental recording and macroseismic description of the strong and perceivable earthquakes in the Caucasus and other seismically active regions of the world and a new method for reconstructing the spectra of the strong earthquakes from their macroseismic field. The cross-comparison of the estimates obtained based on the proposed models with each other and with the estimates obtained by the other authors has shown that they are fairly realistic and reliable. [ABSTRACT FROM AUTHOR]
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1134/S1069351320050018
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 644
    Subjects:
      – SubjectFull: Earthquake intensity
        Type: general
      – SubjectFull: Earthquake zones
        Type: general
      – SubjectFull: Earthquake magnitude
        Type: general
      – SubjectFull: Motion
        Type: general
      – SubjectFull: Accelerograms
        Type: general
      – SubjectFull: Geological modeling
        Type: general
      – SubjectFull: North Ossetia (Russia)
        Type: general
      – SubjectFull: Caucasus
        Type: general
    Titles:
      – TitleFull: Strong Ground Motion Simulation for Forecasting the Probable Seismic Impacts in the Territory of the Republic of North Ossetia–Alania.
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          Name:
            NameFull: Chernov, Yu. K.
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            NameFull: Zaalishvili, V. B.
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          Name:
            NameFull: Chernov, A. Yu.
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          Dates:
            – D: 01
              M: 09
              Text: Sep2020
              Type: published
              Y: 2020
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              Value: 10693513
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              Value: 56
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            – TitleFull: Izvestiya, Physics of the Solid Earth
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