hvarma: Autoregressive moving average model of microtremor H/V spectral ratio

6 pages, 3 figures, 3 tables

Detalles Bibliográficos
Autores: Seguí, Aleix, Ugalde, Arantza, Egozcue, Juan J.
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/387169
Acceso en línea:http://hdl.handle.net/10261/387169
Access Level:acceso abierto
Palabra clave:Ambient vibration
H/V spectral ratio
ARMA model
Python
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spelling hvarma: Autoregressive moving average model of microtremor H/V spectral ratioSeguí, AleixUgalde, ArantzaEgozcue, Juan J.Ambient vibrationH/V spectral ratioARMA modelPython6 pages, 3 figures, 3 tableshvarma is a Python software for estimating the horizontal-to-vertical (H/V) spectral ratio through seismic ambient vibration measurements. It employs a parametric approach to model the H/V transfer function using an AutoRegressive Moving Average (ARMA) filter. Compared to traditional methods, this technique enhances accuracy and reliability in spectral estimates, determining the ground fundamental resonance frequency with high spectral resolution, which is important for engineering geology projects. The program inverts to find optimal filter coefficients and computes coherence between horizontal and vertical components, generating H/V transfer function visualizations across both negative and positive frequencies. Results are saved as image and text filesThis work recognizes the accreditation of the Severo Ochoa Centre of Excellence (CEX2019-000928-S)Peer reviewedElsevierAgencia Estatal de Investigación (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252025info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionhttp://hdl.handle.net/10261/387169reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.1016/j.simpa.2025.100745Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3871692026-05-22T06:33:51Z
dc.title.none.fl_str_mv hvarma: Autoregressive moving average model of microtremor H/V spectral ratio
title hvarma: Autoregressive moving average model of microtremor H/V spectral ratio
spellingShingle hvarma: Autoregressive moving average model of microtremor H/V spectral ratio
Seguí, Aleix
Ambient vibration
H/V spectral ratio
ARMA model
Python
title_short hvarma: Autoregressive moving average model of microtremor H/V spectral ratio
title_full hvarma: Autoregressive moving average model of microtremor H/V spectral ratio
title_fullStr hvarma: Autoregressive moving average model of microtremor H/V spectral ratio
title_full_unstemmed hvarma: Autoregressive moving average model of microtremor H/V spectral ratio
title_sort hvarma: Autoregressive moving average model of microtremor H/V spectral ratio
dc.creator.none.fl_str_mv Seguí, Aleix
Ugalde, Arantza
Egozcue, Juan J.
author Seguí, Aleix
author_facet Seguí, Aleix
Ugalde, Arantza
Egozcue, Juan J.
author_role author
author2 Ugalde, Arantza
Egozcue, Juan J.
author2_role author
author
dc.contributor.none.fl_str_mv Agencia Estatal de Investigación (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Ambient vibration
H/V spectral ratio
ARMA model
Python
topic Ambient vibration
H/V spectral ratio
ARMA model
Python
description 6 pages, 3 figures, 3 tables
publishDate 2025
dc.date.none.fl_str_mv 2025
2025
2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
http://purl.org/coar/resource_type/c_6501
Publisher's version
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/387169
url http://hdl.handle.net/10261/387169
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.1016/j.simpa.2025.100745
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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