Assessing shoreline orientation variation across diverse coastal environments

Understanding and predicting shoreline variability at various temporal and spatial scales is vital for effective, data-driven coastal management. Shoreline position, a reliable indicator of beach morphological changes, has been assessed using complex numerical models. Recently, equilibrium-based sho...

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Authors: Abdulsalam, Mayowa Basit, Jaramillo Cardona, Camilo, De Freitas Pereira, Lucas, González Rodríguez, Ernesto Mauricio|||0000-0001-9021-451X, Antolínez, José A.Á.
Format: article
Publication Date:2025
Country:España
Institution:Universidad de Cantabria (UC)
Repository:UCrea Repositorio Abierto de la Universidad de Cantabria
Language:English
OAI Identifier:oai:dnet:ucreareposit::518489b234bc11ace4ba71dc3ab05e17
Online Access:https://hdl.handle.net/10902/39872
Access Level:Open access
Keyword:Coastal morphodynamics
Equilibrium-based shoreline evolution model
Shoreline rotation
Shoreline variability
Wave-driven sediment transport
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network_name_str España
repository_id_str
dc.title.none.fl_str_mv Assessing shoreline orientation variation across diverse coastal environments
title Assessing shoreline orientation variation across diverse coastal environments
spellingShingle Assessing shoreline orientation variation across diverse coastal environments
Abdulsalam, Mayowa Basit
Coastal morphodynamics
Equilibrium-based shoreline evolution model
Shoreline rotation
Shoreline variability
Wave-driven sediment transport
title_short Assessing shoreline orientation variation across diverse coastal environments
title_full Assessing shoreline orientation variation across diverse coastal environments
title_fullStr Assessing shoreline orientation variation across diverse coastal environments
title_full_unstemmed Assessing shoreline orientation variation across diverse coastal environments
title_sort Assessing shoreline orientation variation across diverse coastal environments
dc.creator.none.fl_str_mv Abdulsalam, Mayowa Basit
Jaramillo Cardona, Camilo
De Freitas Pereira, Lucas
González Rodríguez, Ernesto Mauricio|||0000-0001-9021-451X
Antolínez, José A.Á.
author Abdulsalam, Mayowa Basit
author_facet Abdulsalam, Mayowa Basit
Jaramillo Cardona, Camilo
De Freitas Pereira, Lucas
González Rodríguez, Ernesto Mauricio|||0000-0001-9021-451X
Antolínez, José A.Á.
author_role author
author2 Jaramillo Cardona, Camilo
De Freitas Pereira, Lucas
González Rodríguez, Ernesto Mauricio|||0000-0001-9021-451X
Antolínez, José A.Á.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidad de Cantabria
dc.subject.none.fl_str_mv Coastal morphodynamics
Equilibrium-based shoreline evolution model
Shoreline rotation
Shoreline variability
Wave-driven sediment transport
topic Coastal morphodynamics
Equilibrium-based shoreline evolution model
Shoreline rotation
Shoreline variability
Wave-driven sediment transport
description Understanding and predicting shoreline variability at various temporal and spatial scales is vital for effective, data-driven coastal management. Shoreline position, a reliable indicator of beach morphological changes, has been assessed using complex numerical models. Recently, equilibrium-based shoreline evolution models (EBSEMs) have gained traction for their efficiency in simulating shoreline orientation, including cross-shore and rotational (longshore) changes. However, existing EBSEMs for shoreline rotation have been applied predominantly to microtidal beaches, with limited validation across diverse coastal environments. This study evaluates the performance and scalability of the EBSEM proposed by Jaramillo et al. (2021) in modelling shoreline rotational variability at seven embayed beaches: Narrabeen Beach (Australia), Tairua Beach (New Zealand), Blackpool Beach (United Kingdom), Poniente Beach, Llevant Beach, Cala Millor Beach, and Moncofa Beach (Spain). These sites represent diverse environmental conditions in terms of sediment size, tidal regimes, monitoring frequency, and data types. The model was tested across full monitoring periods, elevation contours, and temporal resolutions. Results show that EBSEM performs well across contrasting beach types, effectively capturing short-term and seasonal shoreline rotation patterns. However, reduced accuracy was observed in environments with high-energy events or human interventions, such as Poniente, Llevant, and Cala Millor beaches. Sensitivity analyses highlight the importance of temporal resolution and intertidal elevation in model performance. While the EBSEM shows significant potential for broader application, further refinement is needed to better capture storm-driven and anthropogenic variability. These improvements would enhance its utility for coastal adaptation planning, hazard mitigation, and long-term shoreline management in the face of climate change.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-07-15
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/10902/39872
url https://hdl.handle.net/10902/39872
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 4.0 International
http://creativecommons.org/licenses/by/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 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv Coastal Engineering, 2025, 200, 104770
reponame:UCrea Repositorio Abierto de la Universidad de Cantabria
instname:Universidad de Cantabria (UC)
instname_str Universidad de Cantabria (UC)
reponame_str UCrea Repositorio Abierto de la Universidad de Cantabria
collection UCrea Repositorio Abierto de la Universidad de Cantabria
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spelling Assessing shoreline orientation variation across diverse coastal environmentsAbdulsalam, Mayowa BasitJaramillo Cardona, CamiloDe Freitas Pereira, LucasGonzález Rodríguez, Ernesto Mauricio|||0000-0001-9021-451XAntolínez, José A.Á.Coastal morphodynamicsEquilibrium-based shoreline evolution modelShoreline rotationShoreline variabilityWave-driven sediment transportUnderstanding and predicting shoreline variability at various temporal and spatial scales is vital for effective, data-driven coastal management. Shoreline position, a reliable indicator of beach morphological changes, has been assessed using complex numerical models. Recently, equilibrium-based shoreline evolution models (EBSEMs) have gained traction for their efficiency in simulating shoreline orientation, including cross-shore and rotational (longshore) changes. However, existing EBSEMs for shoreline rotation have been applied predominantly to microtidal beaches, with limited validation across diverse coastal environments. This study evaluates the performance and scalability of the EBSEM proposed by Jaramillo et al. (2021) in modelling shoreline rotational variability at seven embayed beaches: Narrabeen Beach (Australia), Tairua Beach (New Zealand), Blackpool Beach (United Kingdom), Poniente Beach, Llevant Beach, Cala Millor Beach, and Moncofa Beach (Spain). These sites represent diverse environmental conditions in terms of sediment size, tidal regimes, monitoring frequency, and data types. The model was tested across full monitoring periods, elevation contours, and temporal resolutions. Results show that EBSEM performs well across contrasting beach types, effectively capturing short-term and seasonal shoreline rotation patterns. However, reduced accuracy was observed in environments with high-energy events or human interventions, such as Poniente, Llevant, and Cala Millor beaches. Sensitivity analyses highlight the importance of temporal resolution and intertidal elevation in model performance. While the EBSEM shows significant potential for broader application, further refinement is needed to better capture storm-driven and anthropogenic variability. These improvements would enhance its utility for coastal adaptation planning, hazard mitigation, and long-term shoreline management in the face of climate change.The authors acknowledge the support of the Regional Ministry of Universities, Equality, Culture and Sports of the Government of Cantabria (Contract-Program between the Government of Cantabria and the University of Cantabria) under Grant PID2021-127994OB-I00 FutureBeach Project and the ThinkInAzul programme supported by MCIN/Ministerio de Ciencia e Innovaci´on with funding from European Union NextGeneration EU (PRTR-C17.I1) and by Comunidad de Cantabria. Additionally, we particularly appreciate the immense contributions of the Geo-Environmental Cartography and the Remote Sensing Group (CGAT) at the Polytechnic University of Valencia (UPV), the Narrabeen- Collaroy monitoring program, the Balearic Islands Coastal Observing and Forecasting System, the 5th Earth Observation Envelope Program (EOEP-5) of the European Space Agency, South West Coastal Monitoring Program and the University of Auckland for generously providing the diverse datasets that were utilised in this research. C.J. has been supported by a Margarita Salas post-doctoral fellowship funded by the European Union-NextGenerationEU, Ministry of Universities and Recovery and Resilience Facility, through a call from the University of Cantabria.ElsevierUniversidad de Cantabria20252025-07-15journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articlehttps://hdl.handle.net/10902/39872Coastal Engineering, 2025, 200, 104770reponame:UCrea Repositorio Abierto de la Universidad de Cantabriainstname:Universidad de Cantabria (UC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:dnet:ucreareposit::518489b234bc11ace4ba71dc3ab05e172026-06-02T12:39:31Z
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