Rip current detection methods: A bibliometric perspective with coastal governance insights

Rip currents are one of the most hazardous natural phenomena affecting beachgoers worldwide and pose a persistent challenge to coastal safety management. This study provides a comprehensive bibliometric analysis of research into rip current detection conducted between 2006 and 2025. Significant meth...

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Detalles Bibliográficos
Autores: Marqués Alonso, Aitor, Crestelo Moreno, Fernando|||0000-0003-4090-076X, García Maza, Jesús Ángel|||0000-0002-1843-0629, Reyes-Merlo, Miguel Ángel, Menéndez Teleña, Deva|||0000-0001-8954-356X
Tipo de recurso: artículo
Fecha de publicación:2026
País:España
Institución:Universidad de Oviedo (UNIOVI)
Repositorio:RUO. Repositorio Institucional de la Universidad de Oviedo
Idioma:inglés
OAI Identifier:oai:dnet:ruo_________::7fef536d6f9c5a830e781a4eacb0e874
Acceso en línea:https://hdl.handle.net/10651/83271
https://dx.doi.org/10.1016/J.OCECOAMAN.2025.107955
Access Level:acceso abierto
Palabra clave:Bibliometric analysis
Coastal risk management
Governance
Marine spatial planning
Numerical model
PRISMA
Rip currents detection
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spelling Rip current detection methods: A bibliometric perspective with coastal governance insightsMarqués Alonso, AitorCrestelo Moreno, Fernando|||0000-0003-4090-076XGarcía Maza, Jesús Ángel|||0000-0002-1843-0629Reyes-Merlo, Miguel ÁngelMenéndez Teleña, Deva|||0000-0001-8954-356XBibliometric analysisCoastal risk managementGovernanceMarine spatial planningNumerical modelPRISMARip currents detectionRip currents are one of the most hazardous natural phenomena affecting beachgoers worldwide and pose a persistent challenge to coastal safety management. This study provides a comprehensive bibliometric analysis of research into rip current detection conducted between 2006 and 2025. Significant methodological developments are highlighted, including the use of Lagrangian drifters, RPAS (Remotely Piloted Air Systems), fixed cameras, numerical models, and dye tracing. Beyond technical evaluation, the paper critically examines how these detection methods can inform and enhance coastal management practices. The operational suitability of each method is assessed in terms of daily monitoring, early warning systems, beach zoning and contexts with limited resources. The analysis emphasizes the role of rip current detection in supporting marine spatial planning, beach carrying capacity regulations, infrastructure siting, public education campaigns and real-time risk communication tools. Furthermore, the study explores how rip detection data could be incorporated into national coastal governance frameworks, in line with the Sendai Framework for Disaster Risk Reduction and Sustainable Development Goals 13 and 14. The main aim of this study is to systematically review field-based and field-validated methods for the detection and characterization of rip currents, and to critically assess their potential for operational integration into coastal safety and governance frameworks. A proposed operational integration framework outlines how the relevant authorities can tier, standardize, and adopt detection technologies to improve coastal risk governance. This work bridges the gap between technical research and actionable policy by offering evidence-based guidance for the sustainable and resilient management of coastal safety.Elsevier Ltd20262026-02-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articlehttps://hdl.handle.net/10651/83271https://dx.doi.org/10.1016/J.OCECOAMAN.2025.107955reponame:RUO. Repositorio Institucional de la Universidad de Oviedoinstname:Universidad de Oviedo (UNIOVI)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:dnet:ruo_________::7fef536d6f9c5a830e781a4eacb0e8742026-06-07T06:38:51Z
dc.title.none.fl_str_mv Rip current detection methods: A bibliometric perspective with coastal governance insights
title Rip current detection methods: A bibliometric perspective with coastal governance insights
spellingShingle Rip current detection methods: A bibliometric perspective with coastal governance insights
Marqués Alonso, Aitor
Bibliometric analysis
Coastal risk management
Governance
Marine spatial planning
Numerical model
PRISMA
Rip currents detection
title_short Rip current detection methods: A bibliometric perspective with coastal governance insights
title_full Rip current detection methods: A bibliometric perspective with coastal governance insights
title_fullStr Rip current detection methods: A bibliometric perspective with coastal governance insights
title_full_unstemmed Rip current detection methods: A bibliometric perspective with coastal governance insights
title_sort Rip current detection methods: A bibliometric perspective with coastal governance insights
dc.creator.none.fl_str_mv Marqués Alonso, Aitor
Crestelo Moreno, Fernando|||0000-0003-4090-076X
García Maza, Jesús Ángel|||0000-0002-1843-0629
Reyes-Merlo, Miguel Ángel
Menéndez Teleña, Deva|||0000-0001-8954-356X
author Marqués Alonso, Aitor
author_facet Marqués Alonso, Aitor
Crestelo Moreno, Fernando|||0000-0003-4090-076X
García Maza, Jesús Ángel|||0000-0002-1843-0629
Reyes-Merlo, Miguel Ángel
Menéndez Teleña, Deva|||0000-0001-8954-356X
author_role author
author2 Crestelo Moreno, Fernando|||0000-0003-4090-076X
García Maza, Jesús Ángel|||0000-0002-1843-0629
Reyes-Merlo, Miguel Ángel
Menéndez Teleña, Deva|||0000-0001-8954-356X
author2_role author
author
author
author
dc.subject.none.fl_str_mv Bibliometric analysis
Coastal risk management
Governance
Marine spatial planning
Numerical model
PRISMA
Rip currents detection
topic Bibliometric analysis
Coastal risk management
Governance
Marine spatial planning
Numerical model
PRISMA
Rip currents detection
description Rip currents are one of the most hazardous natural phenomena affecting beachgoers worldwide and pose a persistent challenge to coastal safety management. This study provides a comprehensive bibliometric analysis of research into rip current detection conducted between 2006 and 2025. Significant methodological developments are highlighted, including the use of Lagrangian drifters, RPAS (Remotely Piloted Air Systems), fixed cameras, numerical models, and dye tracing. Beyond technical evaluation, the paper critically examines how these detection methods can inform and enhance coastal management practices. The operational suitability of each method is assessed in terms of daily monitoring, early warning systems, beach zoning and contexts with limited resources. The analysis emphasizes the role of rip current detection in supporting marine spatial planning, beach carrying capacity regulations, infrastructure siting, public education campaigns and real-time risk communication tools. Furthermore, the study explores how rip detection data could be incorporated into national coastal governance frameworks, in line with the Sendai Framework for Disaster Risk Reduction and Sustainable Development Goals 13 and 14. The main aim of this study is to systematically review field-based and field-validated methods for the detection and characterization of rip currents, and to critically assess their potential for operational integration into coastal safety and governance frameworks. A proposed operational integration framework outlines how the relevant authorities can tier, standardize, and adopt detection technologies to improve coastal risk governance. This work bridges the gap between technical research and actionable policy by offering evidence-based guidance for the sustainable and resilient management of coastal safety.
publishDate 2026
dc.date.none.fl_str_mv 2026
2026-02-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10651/83271
https://dx.doi.org/10.1016/J.OCECOAMAN.2025.107955
url https://hdl.handle.net/10651/83271
https://dx.doi.org/10.1016/J.OCECOAMAN.2025.107955
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier Ltd
publisher.none.fl_str_mv Elsevier Ltd
dc.source.none.fl_str_mv reponame:RUO. Repositorio Institucional de la Universidad de Oviedo
instname:Universidad de Oviedo (UNIOVI)
instname_str Universidad de Oviedo (UNIOVI)
reponame_str RUO. Repositorio Institucional de la Universidad de Oviedo
collection RUO. Repositorio Institucional de la Universidad de Oviedo
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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