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Ocean Science An interactive open-access journal of the European Geosciences Union
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Volume 13, issue 5
Ocean Sci., 13, 661–671, 2017
https://doi.org/10.5194/os-13-661-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Ocean Sci., 13, 661–671, 2017
https://doi.org/10.5194/os-13-661-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 07 Sep 2017

Research article | 07 Sep 2017

Uncertainties in shoreline position analysis: the role of run-up and tide in a gentle slope beach

Giorgio Manno, Carlo Lo Re, and Giuseppe Ciraolo Giorgio Manno et al.
  • Department of Civil, Environmental, Aerospace, Materials Engineering – University of Palermo, Viale delle Scienze, Ed. 8, 90128 Palermo (PA), Italy

Abstract. In recent decades in the Mediterranean Sea, high anthropic pressure from increasing economic and touristic development has affected several coastal areas. Today the erosion phenomena threaten human activities and existing structures, and interdisciplinary studies are needed to better understand actual coastal dynamics. Beach evolution analysis can be conducted using GIS methodologies, such as the well-known Digital Shoreline Analysis System (DSAS), in which error assessment based on shoreline positioning plays a significant role. In this study, a new approach is proposed to estimate the positioning errors due to tide and wave run-up influence. To improve the assessment of the wave run-up uncertainty, a spectral numerical model was used to propagate waves from deep to intermediate water and a Boussinesq-type model for intermediate water up to the swash zone. Tide effects on the uncertainty of shoreline position were evaluated using data collected by a nearby tide gauge. The proposed methodology was applied to an unprotected, dissipative Sicilian beach far from harbors and subjected to intense human activities over the last 20 years. The results show wave run-up and tide errors ranging from 0.12 to 4.5 m and from 1.20 to 1.39 m, respectively.

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Short summary
Beach evolution analysis can be conducted using GIS methodologies, such as the well-known Digital Shoreline Analysis System (DSAS), in which error assessment based on shoreline positioning plays a significant role. In this study, a new approach is proposed to estimate the positioning errors due to tide and wave run-up influence.
Beach evolution analysis can be conducted using GIS methodologies, such as the well-known...
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