Quantifying seismic source parameter uncertainties
We use data from a small aperture array in southern California to quantify variations in source parameter estimates at closely spaced stations (distances ranging from ?7 to 350 m) to provide constraints on parameter uncertainties. Many studies do not consider uncertainties in these estimates even th...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2011
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/26831
- Acceso en línea:
- https://doi.org/10.1785/0120100166
https://repository.urosario.edu.co/handle/10336/26831
- Palabra clave:
- Algorithms
Body waves
California
Earthquakes
Elastic waves
Fault zones
Faults
Green function
Magnitude
P-waves
San Jacinto
- Rights
- License
- Restringido (Acceso a grupos específicos)
id |
EDOCUR2_7648d6b346f14000bbf6cb021aadb1fa |
---|---|
oai_identifier_str |
oai:repository.urosario.edu.co:10336/26831 |
network_acronym_str |
EDOCUR2 |
network_name_str |
Repositorio EdocUR - U. Rosario |
repository_id_str |
|
spelling |
20552f1f-4005-4b83-bd07-8c4780671c68-177c790ed-02ae-44ed-ba19-cd7422a58521-192527665-562f-4ccd-aa5c-19c67e0825ad-139f2a157-2c33-410e-870a-ef94610cd1d0-12020-08-19T14:40:20Z2020-08-19T14:40:20Z2011-04-01We use data from a small aperture array in southern California to quantify variations in source parameter estimates at closely spaced stations (distances ranging from ?7 to 350 m) to provide constraints on parameter uncertainties. Many studies do not consider uncertainties in these estimates even though they can be significant and have important implications for studies of earthquake source physics. Here, we estimate seismic source parameters in the frequency domain using empirical Green’s function (EGF) methods to remove effects of the travel paths between earthquakes and their recording stations. We examine uncertainties in our estimates by quantifying the resulting distributions over all stations in the array. For coseismic stress drop estimates, we find that minimum uncertainties of ?30% of the estimate can be expected. To test the robustness of our results, we explore variations of the dataset using different groupings of stations, different source regions, and different EGF earthquakes. Although these differences affect our absolute estimates of stress drop, they do not greatly influence the spread in our resulting estimates. These sensitivity tests show that station selection is not the primary contribution to the uncertainties in our parameter estimates for single stations. We conclude that establishing reliable methods of estimating uncertainties in source parameter estimates (including corner frequencies, source durations, and coseismic static stress drops) is essential, particularly when the results are used in the comparisons among different studies over a range of earthquake magnitudes and locations.application/pdfhttps://doi.org/10.1785/0120100166ISSN: 0037-1106EISSN: 1943-3573https://repository.urosario.edu.co/handle/10336/26831engSeismological Society of America543No. 2535Bulletin of the Seismological Society of AmericaVol. 101Bulletin of the Seismological Society of America, ISSN: 0037-1106;EISSN: 1943-3573, Vol.101, No.2 (April 2011); pp. 535-543https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/101/2/535/349427/Quantifying-Seismic-Source-Parameter?redirectedFrom=PDFRestringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecBulletin of the Seismological Society of Americainstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURAlgorithmsBody wavesCaliforniaEarthquakesElastic wavesFault zonesFaultsGreen functionMagnitudeP-wavesSan JacintoQuantifying seismic source parameter uncertaintiesCuantificar las incertidumbres de los parámetros de la fuente sísmicaarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501Kane, Deborah L.Prieto, German A.Vernon, Frank L.Shearer, Peter M.10336/26831oai:repository.urosario.edu.co:10336/268312021-06-03 00:50:00.441https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Quantifying seismic source parameter uncertainties |
dc.title.TranslatedTitle.spa.fl_str_mv |
Cuantificar las incertidumbres de los parámetros de la fuente sísmica |
title |
Quantifying seismic source parameter uncertainties |
spellingShingle |
Quantifying seismic source parameter uncertainties Algorithms Body waves California Earthquakes Elastic waves Fault zones Faults Green function Magnitude P-waves San Jacinto |
title_short |
Quantifying seismic source parameter uncertainties |
title_full |
Quantifying seismic source parameter uncertainties |
title_fullStr |
Quantifying seismic source parameter uncertainties |
title_full_unstemmed |
Quantifying seismic source parameter uncertainties |
title_sort |
Quantifying seismic source parameter uncertainties |
dc.subject.keyword.spa.fl_str_mv |
Algorithms Body waves California Earthquakes Elastic waves Fault zones Faults Green function Magnitude P-waves San Jacinto |
topic |
Algorithms Body waves California Earthquakes Elastic waves Fault zones Faults Green function Magnitude P-waves San Jacinto |
description |
We use data from a small aperture array in southern California to quantify variations in source parameter estimates at closely spaced stations (distances ranging from ?7 to 350 m) to provide constraints on parameter uncertainties. Many studies do not consider uncertainties in these estimates even though they can be significant and have important implications for studies of earthquake source physics. Here, we estimate seismic source parameters in the frequency domain using empirical Green’s function (EGF) methods to remove effects of the travel paths between earthquakes and their recording stations. We examine uncertainties in our estimates by quantifying the resulting distributions over all stations in the array. For coseismic stress drop estimates, we find that minimum uncertainties of ?30% of the estimate can be expected. To test the robustness of our results, we explore variations of the dataset using different groupings of stations, different source regions, and different EGF earthquakes. Although these differences affect our absolute estimates of stress drop, they do not greatly influence the spread in our resulting estimates. These sensitivity tests show that station selection is not the primary contribution to the uncertainties in our parameter estimates for single stations. We conclude that establishing reliable methods of estimating uncertainties in source parameter estimates (including corner frequencies, source durations, and coseismic static stress drops) is essential, particularly when the results are used in the comparisons among different studies over a range of earthquake magnitudes and locations. |
publishDate |
2011 |
dc.date.created.spa.fl_str_mv |
2011-04-01 |
dc.date.accessioned.none.fl_str_mv |
2020-08-19T14:40:20Z |
dc.date.available.none.fl_str_mv |
2020-08-19T14:40:20Z |
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/10.1785/0120100166 |
dc.identifier.issn.none.fl_str_mv |
ISSN: 0037-1106 EISSN: 1943-3573 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/26831 |
url |
https://doi.org/10.1785/0120100166 https://repository.urosario.edu.co/handle/10336/26831 |
identifier_str_mv |
ISSN: 0037-1106 EISSN: 1943-3573 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
543 |
dc.relation.citationIssue.none.fl_str_mv |
No. 2 |
dc.relation.citationStartPage.none.fl_str_mv |
535 |
dc.relation.citationTitle.none.fl_str_mv |
Bulletin of the Seismological Society of America |
dc.relation.citationVolume.none.fl_str_mv |
Vol. 101 |
dc.relation.ispartof.spa.fl_str_mv |
Bulletin of the Seismological Society of America, ISSN: 0037-1106;EISSN: 1943-3573, Vol.101, No.2 (April 2011); pp. 535-543 |
dc.relation.uri.spa.fl_str_mv |
https://pubs.geoscienceworld.org/ssa/bssa/article-abstract/101/2/535/349427/Quantifying-Seismic-Source-Parameter?redirectedFrom=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 |
Seismological Society of America |
dc.source.spa.fl_str_mv |
Bulletin of the Seismological Society of America |
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_ |
1814167514078248960 |