Assessing the Reliability of a New One-Line Model for Predicting Shoreline Evolution with Impoundment Field Experiment Data
The advancement of knowledge in the field of coastal morphodynamics is currently highly relevant, as it provides valuable insights into the complex and dynamic nature of coastal systems and helps coastal engineers and researchers to better understand and manage the risks associated with coastal haza...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-05-01
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| Series: | Journal of Marine Science and Engineering |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2077-1312/11/5/1037 |
| _version_ | 1797599501514440704 |
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| author | Antonio Francone David J. Simmonds |
| author_facet | Antonio Francone David J. Simmonds |
| author_sort | Antonio Francone |
| collection | DOAJ |
| description | The advancement of knowledge in the field of coastal morphodynamics is currently highly relevant, as it provides valuable insights into the complex and dynamic nature of coastal systems and helps coastal engineers and researchers to better understand and manage the risks associated with coastal hazards. Managing and protecting coastal areas requires accurate measurements and the availability of reliable numerical models for predicting shoreline evolution. The present study focuses on verifying the reliability of a recent one-line model: the General Shoreline beach (GSb) model. The numerical simulations were performed using wave data observed by the Acoustic Wave and Current profiler and the Channel Coast Observatory buoy. The numerical results were compared with high-resolution shoreline data collected from an ARGUS monitoring station during the impoundment experiment conducted in Milford-on-Sea, UK. The numerical results demonstrated that the GSb model accurately predicts shoreline evolution, particularly for mixed beaches. The findings of the present study also show the effectiveness of the GSb online numerical model in predicting day-to-day changes in shoreline dynamics caused by wave attack. The high-resolution dataset of the ARGUS observations combined with wave data collected during the field experiment could be valuable resources for coastal researchers to further evaluate and improve numerical models of coastal morphodynamics. |
| first_indexed | 2024-03-11T03:36:21Z |
| format | Article |
| id | doaj.art-4247ff9805db4f27bd91e494d0459a75 |
| institution | Directory Open Access Journal |
| issn | 2077-1312 |
| language | English |
| last_indexed | 2024-03-11T03:36:21Z |
| publishDate | 2023-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj.art-4247ff9805db4f27bd91e494d0459a752023-11-18T02:00:27ZengMDPI AGJournal of Marine Science and Engineering2077-13122023-05-01115103710.3390/jmse11051037Assessing the Reliability of a New One-Line Model for Predicting Shoreline Evolution with Impoundment Field Experiment DataAntonio Francone0David J. Simmonds1Department of Engineering for Innovation, University of Salento, 73100 Lecce, ItalyFaculty of Science and Engineering, University of Plymouth, Plymouth PL4 8AA, UKThe advancement of knowledge in the field of coastal morphodynamics is currently highly relevant, as it provides valuable insights into the complex and dynamic nature of coastal systems and helps coastal engineers and researchers to better understand and manage the risks associated with coastal hazards. Managing and protecting coastal areas requires accurate measurements and the availability of reliable numerical models for predicting shoreline evolution. The present study focuses on verifying the reliability of a recent one-line model: the General Shoreline beach (GSb) model. The numerical simulations were performed using wave data observed by the Acoustic Wave and Current profiler and the Channel Coast Observatory buoy. The numerical results were compared with high-resolution shoreline data collected from an ARGUS monitoring station during the impoundment experiment conducted in Milford-on-Sea, UK. The numerical results demonstrated that the GSb model accurately predicts shoreline evolution, particularly for mixed beaches. The findings of the present study also show the effectiveness of the GSb online numerical model in predicting day-to-day changes in shoreline dynamics caused by wave attack. The high-resolution dataset of the ARGUS observations combined with wave data collected during the field experiment could be valuable resources for coastal researchers to further evaluate and improve numerical models of coastal morphodynamics.https://www.mdpi.com/2077-1312/11/5/1037coastal zoneshoreline evolutioncoastal morphodynamicsGSb modelnumerical simulationsfield data |
| spellingShingle | Antonio Francone David J. Simmonds Assessing the Reliability of a New One-Line Model for Predicting Shoreline Evolution with Impoundment Field Experiment Data Journal of Marine Science and Engineering coastal zone shoreline evolution coastal morphodynamics GSb model numerical simulations field data |
| title | Assessing the Reliability of a New One-Line Model for Predicting Shoreline Evolution with Impoundment Field Experiment Data |
| title_full | Assessing the Reliability of a New One-Line Model for Predicting Shoreline Evolution with Impoundment Field Experiment Data |
| title_fullStr | Assessing the Reliability of a New One-Line Model for Predicting Shoreline Evolution with Impoundment Field Experiment Data |
| title_full_unstemmed | Assessing the Reliability of a New One-Line Model for Predicting Shoreline Evolution with Impoundment Field Experiment Data |
| title_short | Assessing the Reliability of a New One-Line Model for Predicting Shoreline Evolution with Impoundment Field Experiment Data |
| title_sort | assessing the reliability of a new one line model for predicting shoreline evolution with impoundment field experiment data |
| topic | coastal zone shoreline evolution coastal morphodynamics GSb model numerical simulations field data |
| url | https://www.mdpi.com/2077-1312/11/5/1037 |
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