Uncertainties in earthquake source spectrum estimation using empirical green functions
We analyze the problem of reliably estimating uncertainties of the earthquake source spectrum and related source parameters using Empirical Green Functions (EGF). We take advantage of the large dataset available from 10 seismic stations at hypocentral distances (10 km < d < 50 km) to average s...
- Autores:
- Tipo de recurso:
- Fecha de publicación:
- 2006
- Institución:
- Universidad del Rosario
- Repositorio:
- Repositorio EdocUR - U. Rosario
- Idioma:
- eng
- OAI Identifier:
- oai:repository.urosario.edu.co:10336/28503
- Acceso en línea:
- https://doi.org/10.1029/170GM08
https://repository.urosario.edu.co/handle/10336/28503
- Palabra clave:
- Seismic wave
Energy dissipation
Faults (Geology)
Seismology
- Rights
- License
- Restringido (Acceso a grupos específicos)
id |
EDOCUR2_84387159dc98dd7cbfebb57d69cb5b7c |
---|---|
oai_identifier_str |
oai:repository.urosario.edu.co:10336/28503 |
network_acronym_str |
EDOCUR2 |
network_name_str |
Repositorio EdocUR - U. Rosario |
repository_id_str |
|
spelling |
54d3cf55-abf5-4c96-969b-892f39e5c062-1dddac7f0-2082-42ef-ae39-3d1dc8d17221-192527665-562f-4ccd-aa5c-19c67e0825ad-139f2a157-2c33-410e-870a-ef94610cd1d0-1db7aa959-69e1-4d38-b551-81056a3dd198-12020-08-28T15:49:14Z2020-08-28T15:49:14Z2006-01-01We analyze the problem of reliably estimating uncertainties of the earthquake source spectrum and related source parameters using Empirical Green Functions (EGF). We take advantage of the large dataset available from 10 seismic stations at hypocentral distances (10 km < d < 50 km) to average spectral ratios of the 2001 M5.1 Anza earthquake and 160 nearby aftershocks. We estimate the uncertainty of the average source spectrum of the M5.1 target earthquake by performing propagation of errors, which, due to the large number of EGFs used, is significantly smaller than that obtained usingasingle EGF. Our approach provides estimates of both the earthquake source spectrum and its uncertainties, plus confidence intervals on related source parameters such as radiated seismic energy or apparent stress, allowing the assessment of statistical significance. This is of paramount importance when comparing different sized earthquakes and analyzing source scaling of the earthquake rupture process. Our best estimate of radiated energy for the target earthquake is 1.24 × 1011 Joules with 95% confidence intervals (0.73 × 1011 , 2.28 × 1011). The estimated apparent stress of 0.33 (0.19, 0.59) MPa is relatively low compared to previous estimates from smaller earthquakes (1MPa) in the same region.application/pdfhttps://doi.org/10.1029/170GM08ISBN: 9780875904351EISBN: 9781118666272https://repository.urosario.edu.co/handle/10336/28503engAmerican Geophysical Union7469Earthquakes: Radiated Energy and the Physics of FaultingEarthquakes: Radiated Energy and the Physics of Faulting, ISBN: 9780875904351;EISBN: 9781118666272 (2006); pp. 69-74https://agupubs.onlinelibrary.wiley.com/doi/10.1029/170GM08Restringido (Acceso a grupos específicos)http://purl.org/coar/access_right/c_16ecEarthquakes: Radiated Energy and the Physics of Faultinginstname:Universidad del Rosarioreponame:Repositorio Institucional EdocURSeismic waveEnergy dissipationFaults (Geology)SeismologyUncertainties in earthquake source spectrum estimation using empirical green functionsIncertidumbres en la estimación del espectro de fuentes de terremotos utilizando funciones verdes empíricasbookPartParte de librohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_3248Prieto, Germán A.Parker, Robert L.Vernon, Frank L.Shearer, Peter M.Thomson, David J.10336/28503oai:repository.urosario.edu.co:10336/285032021-06-03 00:49:51.026https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co |
dc.title.spa.fl_str_mv |
Uncertainties in earthquake source spectrum estimation using empirical green functions |
dc.title.TranslatedTitle.spa.fl_str_mv |
Incertidumbres en la estimación del espectro de fuentes de terremotos utilizando funciones verdes empíricas |
title |
Uncertainties in earthquake source spectrum estimation using empirical green functions |
spellingShingle |
Uncertainties in earthquake source spectrum estimation using empirical green functions Seismic wave Energy dissipation Faults (Geology) Seismology |
title_short |
Uncertainties in earthquake source spectrum estimation using empirical green functions |
title_full |
Uncertainties in earthquake source spectrum estimation using empirical green functions |
title_fullStr |
Uncertainties in earthquake source spectrum estimation using empirical green functions |
title_full_unstemmed |
Uncertainties in earthquake source spectrum estimation using empirical green functions |
title_sort |
Uncertainties in earthquake source spectrum estimation using empirical green functions |
dc.subject.keyword.spa.fl_str_mv |
Seismic wave Energy dissipation Faults (Geology) Seismology |
topic |
Seismic wave Energy dissipation Faults (Geology) Seismology |
description |
We analyze the problem of reliably estimating uncertainties of the earthquake source spectrum and related source parameters using Empirical Green Functions (EGF). We take advantage of the large dataset available from 10 seismic stations at hypocentral distances (10 km < d < 50 km) to average spectral ratios of the 2001 M5.1 Anza earthquake and 160 nearby aftershocks. We estimate the uncertainty of the average source spectrum of the M5.1 target earthquake by performing propagation of errors, which, due to the large number of EGFs used, is significantly smaller than that obtained usingasingle EGF. Our approach provides estimates of both the earthquake source spectrum and its uncertainties, plus confidence intervals on related source parameters such as radiated seismic energy or apparent stress, allowing the assessment of statistical significance. This is of paramount importance when comparing different sized earthquakes and analyzing source scaling of the earthquake rupture process. Our best estimate of radiated energy for the target earthquake is 1.24 × 1011 Joules with 95% confidence intervals (0.73 × 1011 , 2.28 × 1011). The estimated apparent stress of 0.33 (0.19, 0.59) MPa is relatively low compared to previous estimates from smaller earthquakes (1MPa) in the same region. |
publishDate |
2006 |
dc.date.created.spa.fl_str_mv |
2006-01-01 |
dc.date.accessioned.none.fl_str_mv |
2020-08-28T15:49:14Z |
dc.date.available.none.fl_str_mv |
2020-08-28T15:49:14Z |
dc.type.eng.fl_str_mv |
bookPart |
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_3248 |
dc.type.spa.spa.fl_str_mv |
Parte de libro |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.1029/170GM08 |
dc.identifier.issn.none.fl_str_mv |
ISBN: 9780875904351 EISBN: 9781118666272 |
dc.identifier.uri.none.fl_str_mv |
https://repository.urosario.edu.co/handle/10336/28503 |
url |
https://doi.org/10.1029/170GM08 https://repository.urosario.edu.co/handle/10336/28503 |
identifier_str_mv |
ISBN: 9780875904351 EISBN: 9781118666272 |
dc.language.iso.spa.fl_str_mv |
eng |
language |
eng |
dc.relation.citationEndPage.none.fl_str_mv |
74 |
dc.relation.citationStartPage.none.fl_str_mv |
69 |
dc.relation.citationTitle.none.fl_str_mv |
Earthquakes: Radiated Energy and the Physics of Faulting |
dc.relation.ispartof.spa.fl_str_mv |
Earthquakes: Radiated Energy and the Physics of Faulting, ISBN: 9780875904351;EISBN: 9781118666272 (2006); pp. 69-74 |
dc.relation.uri.spa.fl_str_mv |
https://agupubs.onlinelibrary.wiley.com/doi/10.1029/170GM08 |
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 Geophysical Union |
dc.source.spa.fl_str_mv |
Earthquakes: Radiated Energy and the Physics of Faulting |
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_ |
1818106439108919296 |