Strong ground motion prediction using virtual earthquakes

Sedimentary basins increase the damaging effects of earthquakes by trapping and amplifying seismic waves. Simulations of seismic wave propagation in sedimentary basins capture this effect; however, there exists no method to validate these results for earthquakes that have not yet occurred. We presen...

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Autores:
Tipo de recurso:
Fecha de publicación:
2014
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/26997
Acceso en línea:
https://doi.org/10.1126/science.1245678
https://repository.urosario.edu.co/handle/10336/26997
Palabra clave:
Amplitude
Greens function
Wave propagation
Signal amplification
Simulations
Seismic waves
Geophysics
Oceans
Seismographs
Rights
License
Restringido (Acceso a grupos específicos)
id EDOCUR2_fb75454418497939980720d3cdaa4f97
oai_identifier_str oai:repository.urosario.edu.co:10336/26997
network_acronym_str EDOCUR2
network_name_str Repositorio EdocUR - U. Rosario
repository_id_str
spelling 24ac8086-62f7-4006-b3d4-a8b27ca40bf9-149f760a8-d297-415c-82b3-7643ec61e85c-1bd8e04ca-9e29-4331-a4b8-c2121273d723-1d036487c-19b4-407b-97b9-19f163edd659-12020-08-19T14:40:43Z2020-08-19T14:40:43Z2014-01-24Sedimentary basins increase the damaging effects of earthquakes by trapping and amplifying seismic waves. Simulations of seismic wave propagation in sedimentary basins capture this effect; however, there exists no method to validate these results for earthquakes that have not yet occurred. We present a new approach for ground motion prediction that uses the ambient seismic field. We apply our method to a suite of magnitude 7 scenario earthquakes on the southern San Andreas fault and compare our ground motion predictions with simulations. Both methods find strong amplification and coupling of source and structure effects, but they predict substantially different shaking patterns across the Los Angeles Basin. The virtual earthquake approach provides a new approach for predicting long-period strong ground motion.application/pdfhttps://doi.org/10.1126/science.1245678ISSN: 0036-8075EISSN: 1095-9203https://repository.urosario.edu.co/handle/10336/26997engAmerican Association for the Advancement of Science403No. 6169399ScienceVol. 343Science, ISSN: 0036-8075;EISSN: 1095-9203, Vol.343, No.6169 (24 January 2014); pp. 399-403https://science.sciencemag.org/content/343/6169/399/tab-pdfRestringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecScienceinstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAmplitudeGreens functionWave propagationSignal amplificationSimulationsSeismic wavesGeophysicsOceansSeismographsStrong ground motion prediction using virtual earthquakesFuerte predicción del movimiento del suelo mediante terremotos virtualesarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Denolle, M. A.Dunham, E. M.Prieto, G. A.Beroza, G. C.10336/26997oai:repository.urosario.edu.co:10336/269972022-05-02 07:37:13.497932https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Strong ground motion prediction using virtual earthquakes
dc.title.TranslatedTitle.spa.fl_str_mv Fuerte predicción del movimiento del suelo mediante terremotos virtuales
title Strong ground motion prediction using virtual earthquakes
spellingShingle Strong ground motion prediction using virtual earthquakes
Amplitude
Greens function
Wave propagation
Signal amplification
Simulations
Seismic waves
Geophysics
Oceans
Seismographs
title_short Strong ground motion prediction using virtual earthquakes
title_full Strong ground motion prediction using virtual earthquakes
title_fullStr Strong ground motion prediction using virtual earthquakes
title_full_unstemmed Strong ground motion prediction using virtual earthquakes
title_sort Strong ground motion prediction using virtual earthquakes
dc.subject.keyword.spa.fl_str_mv Amplitude
Greens function
Wave propagation
Signal amplification
Simulations
Seismic waves
Geophysics
Oceans
Seismographs
topic Amplitude
Greens function
Wave propagation
Signal amplification
Simulations
Seismic waves
Geophysics
Oceans
Seismographs
description Sedimentary basins increase the damaging effects of earthquakes by trapping and amplifying seismic waves. Simulations of seismic wave propagation in sedimentary basins capture this effect; however, there exists no method to validate these results for earthquakes that have not yet occurred. We present a new approach for ground motion prediction that uses the ambient seismic field. We apply our method to a suite of magnitude 7 scenario earthquakes on the southern San Andreas fault and compare our ground motion predictions with simulations. Both methods find strong amplification and coupling of source and structure effects, but they predict substantially different shaking patterns across the Los Angeles Basin. The virtual earthquake approach provides a new approach for predicting long-period strong ground motion.
publishDate 2014
dc.date.created.spa.fl_str_mv 2014-01-24
dc.date.accessioned.none.fl_str_mv 2020-08-19T14:40:43Z
dc.date.available.none.fl_str_mv 2020-08-19T14:40:43Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1126/science.1245678
dc.identifier.issn.none.fl_str_mv ISSN: 0036-8075
EISSN: 1095-9203
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/26997
url https://doi.org/10.1126/science.1245678
https://repository.urosario.edu.co/handle/10336/26997
identifier_str_mv ISSN: 0036-8075
EISSN: 1095-9203
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationEndPage.none.fl_str_mv 403
dc.relation.citationIssue.none.fl_str_mv No. 6169
dc.relation.citationStartPage.none.fl_str_mv 399
dc.relation.citationTitle.none.fl_str_mv Science
dc.relation.citationVolume.none.fl_str_mv Vol. 343
dc.relation.ispartof.spa.fl_str_mv Science, ISSN: 0036-8075;EISSN: 1095-9203, Vol.343, No.6169 (24 January 2014); pp. 399-403
dc.relation.uri.spa.fl_str_mv https://science.sciencemag.org/content/343/6169/399/tab-pdf
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.rights.acceso.spa.fl_str_mv Restringido (Acceso a grupos específicos)
rights_invalid_str_mv Restringido (Acceso a grupos específicos)
http://purl.org/coar/access_right/c_16ec
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.spa.fl_str_mv American Association for the Advancement of Science
dc.source.spa.fl_str_mv Science
institution Universidad del Rosario
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
repository.name.fl_str_mv Repositorio institucional EdocUR
repository.mail.fl_str_mv edocur@urosario.edu.co
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