Stochastic Simulation of Strong Ground Motions From Two M > 5 Uttarakhand Earthquakes

Many studies based on the geodetic data and statistical analysis of seismicity have pointed out that sufficient amount of stress accumulated in the Himalayan plate boundary may host a big earthquake. Consequently, high seismic activities and infrastructural developments in the major cities around Hi...

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Autores principales: Nitin Sharma, D. Srinagesh, G. Suresh, D. Srinivas
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Publicado: Frontiers Media S.A. 2021
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spelling oai:doaj.org-article:8fb5b2169520454f91c4cc863cb244942021-12-01T14:01:38ZStochastic Simulation of Strong Ground Motions From Two M > 5 Uttarakhand Earthquakes2296-646310.3389/feart.2021.599535https://doaj.org/article/8fb5b2169520454f91c4cc863cb244942021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/feart.2021.599535/fullhttps://doaj.org/toc/2296-6463Many studies based on the geodetic data and statistical analysis of seismicity have pointed out that sufficient amount of stress accumulated in the Himalayan plate boundary may host a big earthquake. Consequently, high seismic activities and infrastructural developments in the major cities around Himalayan regions are always of major concern. The ground motion parameter estimation plays a vital role in the near real time evaluation of potentially damaged areas and helps in mitigating the seismic hazard. Therefore, keeping in mind the importance of estimation of ground motion parameters, we targeted two moderate-size earthquakes that occurred recently within a gap of 10 months in Uttarakhand region with M > 5.0 on 06/02/2017 and 06/12/2017. The ground motions are simulated by adopting a stochastic modeling technique. The source is assumed as ω−2, a circular point source (Brune’s model). The average value of reported anelastic attenuation from various studies, the quality factor, Qs = 130.4*(f0.996), and stress drop values obtained through iterative procedure are considered for simulations. The stochastic spectra are generated between 0.1 and 10 Hz of frequency range. The site effect is also estimated by using the H/V method in the same frequency range. The synthetic spectra are compared with the observed Fourier amplitude spectra obtained from the recorded waveform data and converted back to the time histories. The stochastic time histories are compared with the observed waveforms and discussed in terms of amplitude (PGA). The simulated and observed response spectra at different structural periods are also discussed. The mismatch between the observed and simulated PGA values along with the GMPE existing for shallow crustal earthquakes is also discussed in the present work.Nitin SharmaD. SrinageshG. SureshD. SrinivasFrontiers Media S.A.articlestochasticstrong ground motionearthquakesite effectsimulationScienceQENFrontiers in Earth Science, Vol 9 (2021)
institution DOAJ
collection DOAJ
language EN
topic stochastic
strong ground motion
earthquake
site effect
simulation
Science
Q
spellingShingle stochastic
strong ground motion
earthquake
site effect
simulation
Science
Q
Nitin Sharma
D. Srinagesh
G. Suresh
D. Srinivas
Stochastic Simulation of Strong Ground Motions From Two M > 5 Uttarakhand Earthquakes
description Many studies based on the geodetic data and statistical analysis of seismicity have pointed out that sufficient amount of stress accumulated in the Himalayan plate boundary may host a big earthquake. Consequently, high seismic activities and infrastructural developments in the major cities around Himalayan regions are always of major concern. The ground motion parameter estimation plays a vital role in the near real time evaluation of potentially damaged areas and helps in mitigating the seismic hazard. Therefore, keeping in mind the importance of estimation of ground motion parameters, we targeted two moderate-size earthquakes that occurred recently within a gap of 10 months in Uttarakhand region with M > 5.0 on 06/02/2017 and 06/12/2017. The ground motions are simulated by adopting a stochastic modeling technique. The source is assumed as ω−2, a circular point source (Brune’s model). The average value of reported anelastic attenuation from various studies, the quality factor, Qs = 130.4*(f0.996), and stress drop values obtained through iterative procedure are considered for simulations. The stochastic spectra are generated between 0.1 and 10 Hz of frequency range. The site effect is also estimated by using the H/V method in the same frequency range. The synthetic spectra are compared with the observed Fourier amplitude spectra obtained from the recorded waveform data and converted back to the time histories. The stochastic time histories are compared with the observed waveforms and discussed in terms of amplitude (PGA). The simulated and observed response spectra at different structural periods are also discussed. The mismatch between the observed and simulated PGA values along with the GMPE existing for shallow crustal earthquakes is also discussed in the present work.
format article
author Nitin Sharma
D. Srinagesh
G. Suresh
D. Srinivas
author_facet Nitin Sharma
D. Srinagesh
G. Suresh
D. Srinivas
author_sort Nitin Sharma
title Stochastic Simulation of Strong Ground Motions From Two M > 5 Uttarakhand Earthquakes
title_short Stochastic Simulation of Strong Ground Motions From Two M > 5 Uttarakhand Earthquakes
title_full Stochastic Simulation of Strong Ground Motions From Two M > 5 Uttarakhand Earthquakes
title_fullStr Stochastic Simulation of Strong Ground Motions From Two M > 5 Uttarakhand Earthquakes
title_full_unstemmed Stochastic Simulation of Strong Ground Motions From Two M > 5 Uttarakhand Earthquakes
title_sort stochastic simulation of strong ground motions from two m > 5 uttarakhand earthquakes
publisher Frontiers Media S.A.
publishDate 2021
url https://doaj.org/article/8fb5b2169520454f91c4cc863cb24494
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AT dsrinagesh stochasticsimulationofstronggroundmotionsfromtwom5uttarakhandearthquakes
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