Methodology for Study of Rockfalls in Urban Areas – Computer Modeling and Mitigation in Algodonales, Spain

[EN] Rockfalls in urban areas can cause significant damage. Without direct observation, it is difficult to reconstruct the specific details of an event. The study of rockfalls requires analyses of the source areas, slope parameters, blocks characteristics (size, shape, and mass), and the likely move...

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Detalles Bibliográficos
Autores: Pardo, Juan Manuel, Galera, José Miguel, Mulas de la Peña, Joaquín
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/389647
Acceso en línea:http://hdl.handle.net/10261/389647
https://api.elsevier.com/content/abstract/scopus_id/85208579322
Access Level:acceso abierto
Palabra clave:Triggering factors
Conditioning factors
Protective barrier
Rockfall modeling
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spelling Methodology for Study of Rockfalls in Urban Areas – Computer Modeling and Mitigation in Algodonales, SpainPardo, Juan ManuelGalera, José MiguelMulas de la Peña, JoaquínTriggering factorsConditioning factorsProtective barrierRockfall modeling[EN] Rockfalls in urban areas can cause significant damage. Without direct observation, it is difficult to reconstruct the specific details of an event. The study of rockfalls requires analyses of the source areas, slope parameters, blocks characteristics (size, shape, and mass), and the likely movements of independent blocks along their trajectories (free-falling, rolling, sliding, and rebounding). This article will propose a feasible methodology for the study of rockfalls based on identifiable parameters, conditioning factors (geology, geomorphology, geomechanical, hydrogeology, climate, and biology), and triggering factors (climate and dynamic loads). This article proposes the use of modeling programs to facilitate rockfall research and data management. The study of conditioning factors allows researchers to state several coefficients (restitution, surface roughness, rolling resistance, and friction) that one inputs into a modeling program, allowing researchers to obtain the representative results that are needed to design effective remedial measures. The methodology has been successfully applied to the urban area of Algodonales (Province of Cádiz, Spain).Peer reviewedAGH University Press (Poland)Pardo, Juan Manuel [0000-0002-5620-0496]Galera, José Miguel [0000-0002-0218-4224]Mulas de la Peña, Joaquín [0000-0002-3201-0014]Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]202520252024info:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501Publisher's versioninfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10261/389647https://api.elsevier.com/content/abstract/scopus_id/85208579322reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Ingléshttps://doi.org/10.7494/geom.2024.18.5.75Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/3896472026-05-22T06:33:51Z
dc.title.none.fl_str_mv Methodology for Study of Rockfalls in Urban Areas – Computer Modeling and Mitigation in Algodonales, Spain
title Methodology for Study of Rockfalls in Urban Areas – Computer Modeling and Mitigation in Algodonales, Spain
spellingShingle Methodology for Study of Rockfalls in Urban Areas – Computer Modeling and Mitigation in Algodonales, Spain
Pardo, Juan Manuel
Triggering factors
Conditioning factors
Protective barrier
Rockfall modeling
title_short Methodology for Study of Rockfalls in Urban Areas – Computer Modeling and Mitigation in Algodonales, Spain
title_full Methodology for Study of Rockfalls in Urban Areas – Computer Modeling and Mitigation in Algodonales, Spain
title_fullStr Methodology for Study of Rockfalls in Urban Areas – Computer Modeling and Mitigation in Algodonales, Spain
title_full_unstemmed Methodology for Study of Rockfalls in Urban Areas – Computer Modeling and Mitigation in Algodonales, Spain
title_sort Methodology for Study of Rockfalls in Urban Areas – Computer Modeling and Mitigation in Algodonales, Spain
dc.creator.none.fl_str_mv Pardo, Juan Manuel
Galera, José Miguel
Mulas de la Peña, Joaquín
author Pardo, Juan Manuel
author_facet Pardo, Juan Manuel
Galera, José Miguel
Mulas de la Peña, Joaquín
author_role author
author2 Galera, José Miguel
Mulas de la Peña, Joaquín
author2_role author
author
dc.contributor.none.fl_str_mv Pardo, Juan Manuel [0000-0002-5620-0496]
Galera, José Miguel [0000-0002-0218-4224]
Mulas de la Peña, Joaquín [0000-0002-3201-0014]
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Triggering factors
Conditioning factors
Protective barrier
Rockfall modeling
topic Triggering factors
Conditioning factors
Protective barrier
Rockfall modeling
description [EN] Rockfalls in urban areas can cause significant damage. Without direct observation, it is difficult to reconstruct the specific details of an event. The study of rockfalls requires analyses of the source areas, slope parameters, blocks characteristics (size, shape, and mass), and the likely movements of independent blocks along their trajectories (free-falling, rolling, sliding, and rebounding). This article will propose a feasible methodology for the study of rockfalls based on identifiable parameters, conditioning factors (geology, geomorphology, geomechanical, hydrogeology, climate, and biology), and triggering factors (climate and dynamic loads). This article proposes the use of modeling programs to facilitate rockfall research and data management. The study of conditioning factors allows researchers to state several coefficients (restitution, surface roughness, rolling resistance, and friction) that one inputs into a modeling program, allowing researchers to obtain the representative results that are needed to design effective remedial measures. The methodology has been successfully applied to the urban area of Algodonales (Province of Cádiz, Spain).
publishDate 2024
dc.date.none.fl_str_mv 2024
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/10261/389647
https://api.elsevier.com/content/abstract/scopus_id/85208579322
url http://hdl.handle.net/10261/389647
https://api.elsevier.com/content/abstract/scopus_id/85208579322
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://doi.org/10.7494/geom.2024.18.5.75
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv AGH University Press (Poland)
publisher.none.fl_str_mv AGH University Press (Poland)
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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