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...
| Authors: | , , , , |
|---|---|
| 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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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. |
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2025 |
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2025 2025-07-15 |
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journal article http://purl.org/coar/resource_type/c_6501 NA http://purl.org/coar/version/c_be7fb7dd8ff6fe43 |
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info:eu-repo/semantics/article |
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article |
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https://hdl.handle.net/10902/39872 |
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https://hdl.handle.net/10902/39872 |
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Inglés eng |
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Inglés |
| language |
eng |
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open access http://purl.org/coar/access_right/c_abf2 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
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info:eu-repo/semantics/openAccess |
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open access http://purl.org/coar/access_right/c_abf2 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ |
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openAccess |
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Elsevier |
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Elsevier |
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Coastal Engineering, 2025, 200, 104770 reponame:UCrea Repositorio Abierto de la Universidad de Cantabria instname:Universidad de Cantabria (UC) |
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Universidad de Cantabria (UC) |
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UCrea Repositorio Abierto de la Universidad de Cantabria |
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UCrea Repositorio Abierto de la Universidad de Cantabria |
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1869403747241689088 |
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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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