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...
- 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)
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Repositorio EdocUR - U. Rosario |
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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 |
_version_ |
1814167538506924032 |