Articles | Volume 18, issue 11
https://doi.org/10.5194/nhess-18-2841-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-2841-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
02 Nov 2018
Research article |
| 02 Nov 2018
| 02 Nov 2018
Wave run-up prediction and observation in a micro-tidal beach
Diana Di Luccio
CORRESPONDING AUTHOR
University of Naples Parthenope, Science and Technologies Department, Centro Direzionale Is. C4, 80143 Naples, Italy
Guido Benassai
University of Naples Parthenope, Engineering Department, Centro Direzionale Is. C4, 80143 Naples, Italy
Giorgio Budillon
University of Naples Parthenope, Science and Technologies Department, Centro Direzionale Is. C4, 80143 Naples, Italy
Luigi Mucerino
University of Genoa, Department of Earth, Environment and Life Sciences, Corso Europa 26, 16132 Genoa, Italy
Raffaele Montella
University of Naples Parthenope, Science and Technologies Department, Centro Direzionale Is. C4, 80143 Naples, Italy
Eugenio Pugliese Carratelli
Inter-University Consortium for the Prediction and Prevention of Major Risks Hazards (CUGRI), 84080 Penta di Fisciano (SA), Italy
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Total article views: 3,084 (including HTML, PDF, and XML)
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Total article views: 2,334 (including HTML, PDF, and XML)
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Total article views: 750 (including HTML, PDF, and XML)
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Cited
22 citations as recorded by crossref.
- Vessel to shore data movement through the Internet of Floating Things: A microservice platform at the edge D. Di Luccio et al. 10.1002/cpe.5988
- A physics-informed machine learning model for time-dependent wave runup prediction S. Saviz Naeini & R. Snaiki 10.1016/j.oceaneng.2024.116986
- Analysis of the Risk of Coastal Flooding Due to Rising Sea Levels in Ría of Arosa (Pontevedra, Spain) C. Nieto et al. 10.3390/app132212099
- Shoreline Rotation Analysis of Embayed Beaches by Means of In Situ and Remote Surveys D. Di Luccio et al. 10.3390/su11030725
- An early warning system for wave-driven coastal flooding at Imperial Beach, CA M. Merrifield et al. 10.1007/s11069-021-04790-x
- Statistical Deviations in Shoreline Detection Obtained with Direct and Remote Observations G. Pugliano et al. 10.3390/jmse7050137
- Causes and effects of coastal dunes erosion during storm surge Axel in January 2017 on the southern Baltic Polish coast T. Łabuz 10.14746/quageo-2023-0024
- The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes G. Dodet et al. 10.1007/s10712-019-09557-5
- Influence of Convex and Concave Curvatures in a Coastal Dike Line on Wave Run-up S. Subramaniam et al. 10.3390/w11071333
- Workflow-based automatic processing for Internet of Floating Things crowdsourced data R. Montella et al. 10.1016/j.future.2018.11.025
- Using wave runup modeling to inform coastal species management: An example application for sea turtle nest relocation M. Ware et al. 10.1016/j.ocecoaman.2019.02.011
- Image Sensors for Wave Monitoring in Shore Protection: Characterization through a Machine Learning Algorithm A. Lay-Ekuakille et al. 10.3390/s21124203
- Quantification of error sources in wave runup estimates on two Mediterranean sandy beaches M. Agulles & G. Jordà 10.1016/j.coastaleng.2023.104402
- The Response of Sandstone Sea Cliffs to Holocene Sea-Level Rise by Means of Remote Sensing and Direct Surveys: The Case Study of Punta Licosa Promontory (Southern Italy) M. Tursi et al. 10.3390/geosciences13040120
- Coastal vs volcanic processes: Procida Island as a case of complex morpho-evolutive response P. Aucelli et al. 10.1016/j.margeo.2022.106814
- Contribution of Wave Setup to Projected Coastal Sea Level Changes A. Melet et al. 10.1029/2020JC016078
- Characteristics and coastal effects of a destructive marine storm in the Gulf of Naples (southern Italy) G. Mattei et al. 10.5194/nhess-21-3809-2021
- A novel transversal processing model to build environmental big data services in the cloud J. Armando Barron-Lugo et al. 10.1016/j.envsoft.2021.105173
- Risk Assessment of Wave Over-Topping Based on Smoothed-Particle Hydrodynamics Method L. Wang et al. 10.3390/jmse10121809
- Extreme Inundation Statistics on a Composite Beach A. Abdalazeez et al. 10.3390/w12061573
- Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review G. Anfuso et al. 10.3390/jmse9010072
- An efficient pattern-based approach for workflow supporting large-scale science: The DagOnStar experience D. Domizzi Sánchez-Gallegos et al. 10.1016/j.future.2021.03.017
22 citations as recorded by crossref.
- Vessel to shore data movement through the Internet of Floating Things: A microservice platform at the edge D. Di Luccio et al. 10.1002/cpe.5988
- A physics-informed machine learning model for time-dependent wave runup prediction S. Saviz Naeini & R. Snaiki 10.1016/j.oceaneng.2024.116986
- Analysis of the Risk of Coastal Flooding Due to Rising Sea Levels in Ría of Arosa (Pontevedra, Spain) C. Nieto et al. 10.3390/app132212099
- Shoreline Rotation Analysis of Embayed Beaches by Means of In Situ and Remote Surveys D. Di Luccio et al. 10.3390/su11030725
- An early warning system for wave-driven coastal flooding at Imperial Beach, CA M. Merrifield et al. 10.1007/s11069-021-04790-x
- Statistical Deviations in Shoreline Detection Obtained with Direct and Remote Observations G. Pugliano et al. 10.3390/jmse7050137
- Causes and effects of coastal dunes erosion during storm surge Axel in January 2017 on the southern Baltic Polish coast T. Łabuz 10.14746/quageo-2023-0024
- The Contribution of Wind-Generated Waves to Coastal Sea-Level Changes G. Dodet et al. 10.1007/s10712-019-09557-5
- Influence of Convex and Concave Curvatures in a Coastal Dike Line on Wave Run-up S. Subramaniam et al. 10.3390/w11071333
- Workflow-based automatic processing for Internet of Floating Things crowdsourced data R. Montella et al. 10.1016/j.future.2018.11.025
- Using wave runup modeling to inform coastal species management: An example application for sea turtle nest relocation M. Ware et al. 10.1016/j.ocecoaman.2019.02.011
- Image Sensors for Wave Monitoring in Shore Protection: Characterization through a Machine Learning Algorithm A. Lay-Ekuakille et al. 10.3390/s21124203
- Quantification of error sources in wave runup estimates on two Mediterranean sandy beaches M. Agulles & G. Jordà 10.1016/j.coastaleng.2023.104402
- The Response of Sandstone Sea Cliffs to Holocene Sea-Level Rise by Means of Remote Sensing and Direct Surveys: The Case Study of Punta Licosa Promontory (Southern Italy) M. Tursi et al. 10.3390/geosciences13040120
- Coastal vs volcanic processes: Procida Island as a case of complex morpho-evolutive response P. Aucelli et al. 10.1016/j.margeo.2022.106814
- Contribution of Wave Setup to Projected Coastal Sea Level Changes A. Melet et al. 10.1029/2020JC016078
- Characteristics and coastal effects of a destructive marine storm in the Gulf of Naples (southern Italy) G. Mattei et al. 10.5194/nhess-21-3809-2021
- A novel transversal processing model to build environmental big data services in the cloud J. Armando Barron-Lugo et al. 10.1016/j.envsoft.2021.105173
- Risk Assessment of Wave Over-Topping Based on Smoothed-Particle Hydrodynamics Method L. Wang et al. 10.3390/jmse10121809
- Extreme Inundation Statistics on a Composite Beach A. Abdalazeez et al. 10.3390/w12061573
- Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review G. Anfuso et al. 10.3390/jmse9010072
- An efficient pattern-based approach for workflow supporting large-scale science: The DagOnStar experience D. Domizzi Sánchez-Gallegos et al. 10.1016/j.future.2021.03.017
Discussed (preprint)
Latest update: 19 Apr 2024
Short summary
Forecasting and hindcasting the action of sea storms on piers, coastal structures and beaches is important to mitigate their effects. To this end, with particular regard to low coasts and beaches, we have configured a computational model chain based partly on open-access models and partly on an ad-hoc-developed numerical calculator to evaluate beach wave run-up levels. The results were validated by a set of specially conceived video-camera-based experiments on a micro-tidal beach.
Forecasting and hindcasting the action of sea storms on piers, coastal structures and beaches is...
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