A Stochastic Method for Simulating Near‐Field Seismograms: Application to the 2016 Tottori Earthquake

Abstract A stochastic finite‐fault approach based on corner frequency (EXSIM) is applied to simulate the Tottori Mw 6.2 earthquake. The parameter κ0 is calculated based on ground motion recordings. Other parameters, such as quality factor (127f0.61) and stress drop (27.97 bars) are taken from our ea...

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Autores principales:	Pengfei Dang, Qifang Liu, Songlin Xia, Wanjun Ma
Formato:	article
Lenguaje:	EN
Publicado:	American Geophysical Union (AGU) 2021
Materias:	Tottori earthquake stochastic finite‐fault method local site effect azimuth ground motion duration Astronomy QB1-991 Geology QE1-996.5
Acceso en línea:	https://doaj.org/article/f2c272e9fb064bf6b792e645871afcf8
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spelling	oai:doaj.org-article:f2c272e9fb064bf6b792e645871afcf82021-11-23T21:03:09ZA Stochastic Method for Simulating Near‐Field Seismograms: Application to the 2016 Tottori Earthquake2333-508410.1029/2021EA001939https://doaj.org/article/f2c272e9fb064bf6b792e645871afcf82021-11-01T00:00:00Zhttps://doi.org/10.1029/2021EA001939https://doaj.org/toc/2333-5084Abstract A stochastic finite‐fault approach based on corner frequency (EXSIM) is applied to simulate the Tottori Mw 6.2 earthquake. The parameter κ0 is calculated based on ground motion recordings. Other parameters, such as quality factor (127f0.61) and stress drop (27.97 bars) are taken from our earlier work. The slip distribution refers to the results of Kubo et al. (2017, https://doi.org/10.1186/s40623-017-0714-3). The geometric spreading function and ground motion duration are taken from Atkinson and Boore (1995, https://doi.org/10.1785/bssa0850010017). The simulated results match well with the observed values in a short period (T < 1 s). In addition, the effects of hanging wall (HW) and footwall (FW) on the simulated values are discussed. The results show that the simulated results of HW stations are more consistent with the observed values than those of FW stations. The differences between simulated Pseudo Spectral Acceleration (PSA) and observed PSA with epicentral distance and azimuth are also analyzed. The results show that the local site amplification and geometric location of stations influence the simulation results for soft soil sites. Overall, the simulated ground motions obtained by applying EXSIM approach matched well with the observed recordings which could be considered as the basis for earthquake‐resistant design during the post‐disaster recovery and could become a powerful tool for earthquake ground motion prediction.Pengfei DangQifang LiuSonglin XiaWanjun MaAmerican Geophysical Union (AGU)articleTottori earthquakestochastic finite‐fault methodlocal site effectazimuthground motion durationAstronomyQB1-991GeologyQE1-996.5ENEarth and Space Science, Vol 8, Iss 11, Pp n/a-n/a (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Tottori earthquake stochastic finite‐fault method local site effect azimuth ground motion duration Astronomy QB1-991 Geology QE1-996.5
spellingShingle	Tottori earthquake stochastic finite‐fault method local site effect azimuth ground motion duration Astronomy QB1-991 Geology QE1-996.5 Pengfei Dang Qifang Liu Songlin Xia Wanjun Ma A Stochastic Method for Simulating Near‐Field Seismograms: Application to the 2016 Tottori Earthquake
description	Abstract A stochastic finite‐fault approach based on corner frequency (EXSIM) is applied to simulate the Tottori Mw 6.2 earthquake. The parameter κ0 is calculated based on ground motion recordings. Other parameters, such as quality factor (127f0.61) and stress drop (27.97 bars) are taken from our earlier work. The slip distribution refers to the results of Kubo et al. (2017, https://doi.org/10.1186/s40623-017-0714-3). The geometric spreading function and ground motion duration are taken from Atkinson and Boore (1995, https://doi.org/10.1785/bssa0850010017). The simulated results match well with the observed values in a short period (T < 1 s). In addition, the effects of hanging wall (HW) and footwall (FW) on the simulated values are discussed. The results show that the simulated results of HW stations are more consistent with the observed values than those of FW stations. The differences between simulated Pseudo Spectral Acceleration (PSA) and observed PSA with epicentral distance and azimuth are also analyzed. The results show that the local site amplification and geometric location of stations influence the simulation results for soft soil sites. Overall, the simulated ground motions obtained by applying EXSIM approach matched well with the observed recordings which could be considered as the basis for earthquake‐resistant design during the post‐disaster recovery and could become a powerful tool for earthquake ground motion prediction.
format	article
author	Pengfei Dang Qifang Liu Songlin Xia Wanjun Ma
author_facet	Pengfei Dang Qifang Liu Songlin Xia Wanjun Ma
author_sort	Pengfei Dang
title	A Stochastic Method for Simulating Near‐Field Seismograms: Application to the 2016 Tottori Earthquake
title_short	A Stochastic Method for Simulating Near‐Field Seismograms: Application to the 2016 Tottori Earthquake
title_full	A Stochastic Method for Simulating Near‐Field Seismograms: Application to the 2016 Tottori Earthquake
title_fullStr	A Stochastic Method for Simulating Near‐Field Seismograms: Application to the 2016 Tottori Earthquake
title_full_unstemmed	A Stochastic Method for Simulating Near‐Field Seismograms: Application to the 2016 Tottori Earthquake
title_sort	stochastic method for simulating near‐field seismograms: application to the 2016 tottori earthquake
publisher	American Geophysical Union (AGU)
publishDate	2021
url	https://doaj.org/article/f2c272e9fb064bf6b792e645871afcf8
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A Stochastic Method for Simulating Near‐Field Seismograms: Application to the 2016 Tottori Earthquake

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