A new autoregressive moving average modeling of H/V spectral ratios to estimate the ground resonance frequency

10 pages, 9 figures, 1 appendix.-- This is a contribution of the Barcelona Center for Subsurface Imaging that is a Grup de Recerca de la Generalitat de Catalunya.-- Geopsy package can be downloaded from http://www.geopsy.org/ (last accessed April 2020). Results of the ARMA method were plotted using...

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Detalles Bibliográficos
Autores: Ugalde, Arantza, Egozcue, Juan J., Ranero, César R.
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2021
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/238862
Acceso en línea:http://hdl.handle.net/10261/238862
Access Level:acceso abierto
Palabra clave:Microtremor
H/V spectral ratio
ARMA model
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spelling A new autoregressive moving average modeling of H/V spectral ratios to estimate the ground resonance frequencyUgalde, ArantzaEgozcue, Juan J.Ranero, César R.MicrotremorH/V spectral ratioARMA model10 pages, 9 figures, 1 appendix.-- This is a contribution of the Barcelona Center for Subsurface Imaging that is a Grup de Recerca de la Generalitat de Catalunya.-- Geopsy package can be downloaded from http://www.geopsy.org/ (last accessed April 2020). Results of the ARMA method were plotted using the Generic Mapping Tools (GMT) software (Wessel et al., 2013).We propose a new method to estimate the horizontal-to-vertical (H/V) spectral ratio using microtremor measurements. The technique is based on modeling the H/V transfer function by means of an AutoRegressive Moving Average (ARMA) filter. As compared with the conventional, Fourier-based spectra processing routines, this method is efficient in extracting the fundamental resonant frequency with a higher spectral resolution. We demonstrate its usefulness by an application to several sites in northeastern Iberian Peninsula. For the data sets examined, our approach shows improvement over the Fourier transform-based method under adverse experimental conditions. We conclude that the new technique provides robust estimates of the fundamental resonance frequency and can be effective to characterize empirically the unconsolidated sediment thickness and bedrock geometryThis research was partially supported by Euskontrol, S. A., through the ISURI-1 project. The activity of J. J. Egozcue was supported by the project METhods for COmpositional analysis of DAta (CODAMET), Ministerio de Ciencia, Innovación y Universidades (Ref: RTI2018-095518-B-C22, 2019-2021)With the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI)Peer reviewedElsevierEusKontrolMinisterio de Ciencia, Innovación y Universidades (España)Agencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202120212021info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Preprintinfo:eu-repo/semantics/submittedVersionhttp://hdl.handle.net/10261/238862reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C22https://doi.org/10.1016/j.enggeo.2020.105957Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/2388622026-05-22T06:33:51Z
dc.title.none.fl_str_mv A new autoregressive moving average modeling of H/V spectral ratios to estimate the ground resonance frequency
title A new autoregressive moving average modeling of H/V spectral ratios to estimate the ground resonance frequency
spellingShingle A new autoregressive moving average modeling of H/V spectral ratios to estimate the ground resonance frequency
Ugalde, Arantza
Microtremor
H/V spectral ratio
ARMA model
title_short A new autoregressive moving average modeling of H/V spectral ratios to estimate the ground resonance frequency
title_full A new autoregressive moving average modeling of H/V spectral ratios to estimate the ground resonance frequency
title_fullStr A new autoregressive moving average modeling of H/V spectral ratios to estimate the ground resonance frequency
title_full_unstemmed A new autoregressive moving average modeling of H/V spectral ratios to estimate the ground resonance frequency
title_sort A new autoregressive moving average modeling of H/V spectral ratios to estimate the ground resonance frequency
dc.creator.none.fl_str_mv Ugalde, Arantza
Egozcue, Juan J.
Ranero, César R.
author Ugalde, Arantza
author_facet Ugalde, Arantza
Egozcue, Juan J.
Ranero, César R.
author_role author
author2 Egozcue, Juan J.
Ranero, César R.
author2_role author
author
dc.contributor.none.fl_str_mv EusKontrol
Ministerio de Ciencia, Innovación y Universidades (España)
Agencia Estatal de Investigación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Microtremor
H/V spectral ratio
ARMA model
topic Microtremor
H/V spectral ratio
ARMA model
description 10 pages, 9 figures, 1 appendix.-- This is a contribution of the Barcelona Center for Subsurface Imaging that is a Grup de Recerca de la Generalitat de Catalunya.-- Geopsy package can be downloaded from http://www.geopsy.org/ (last accessed April 2020). Results of the ARMA method were plotted using the Generic Mapping Tools (GMT) software (Wessel et al., 2013).
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Preprint
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/238862
url http://hdl.handle.net/10261/238862
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095518-B-C22
https://doi.org/10.1016/j.enggeo.2020.105957
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15,81155

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