2020
DOI: 10.3390/jmse8050361
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Prediction of Shoreline Evolution. Reliability of a General Model for the Mixed Beach Case

Abstract: In the present paper, after a sensitivity analysis, the calibration and verification of a novel morphodynamic model have been conducted based on a high-quality field experiment data base. The morphodynamic model includes a general formula to predict longshore transport and associated coastal morphology over short- and long-term time scales. With respect to the majority of the existing one-line models, which address sandy coastline evolution, the proposed General Shoreline beach model (GSb) is suitable for esti… Show more

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Cited by 24 publications
(13 citation statements)
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References 29 publications
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“…A shoreline model (In-MPaS, Inje University-Mixture Particle Shoreline model) was built, which could consider single-particle-size (D 50 ) and multi-particle-size distributions for sediments by using a numerical model for practical shoreline-change prediction based on the one-line theory (Hanson, 1989;Tomasicchio et al 2020) [28,29].…”
Section: Building a Shoreline Model (In-mpas Model)mentioning
confidence: 99%
“…A shoreline model (In-MPaS, Inje University-Mixture Particle Shoreline model) was built, which could consider single-particle-size (D 50 ) and multi-particle-size distributions for sediments by using a numerical model for practical shoreline-change prediction based on the one-line theory (Hanson, 1989;Tomasicchio et al 2020) [28,29].…”
Section: Building a Shoreline Model (In-mpas Model)mentioning
confidence: 99%
“…For a specific study area, the employed shoreline indicator is often related to the data availability. Common data sources used to monitor coastlines are historical land-based photographs, coastal maps and charts, aerial photographs [17], beach surveys [18], LiDAR [19], remote sensing techniques [20][21][22][23][24][25][26][27], video imaging systems [28][29][30][31], and GPS [32][33][34].…”
Section: Introductionmentioning
confidence: 99%
“…Empirical data-driven models are increasingly being used for modeling shoreline changes on time scales from days to decades [1][2][3][4][5][6][7][8][9]. They are based on a set of parameters representing the contribution of complex physical processes that are evaluated on a calibration period using observed shoreline data.…”
Section: Introductionmentioning
confidence: 99%
“…A new vector-based model with more flexible shoreline cell shape is suggested by [23]. The GSb model [9,25] is based on the one-line approach to investigate the longshore drift at a coastal mound made up of non-cohesive sediments, e.g., sand, gravel, cobbles, shingle, and rock. The ShorelineS model in [24] is the latest model for long-term shoreline evolution and is capable of simulating rich coastal transformation behavior of complex shoreline features through its flexible grid.…”
Section: Introductionmentioning
confidence: 99%