Coastal risk assessment of a micro-tidal littoral plain in response to sea level rise

Benassai, Guido; Paola, Gianluigi Di; Aucelli, Pietro P. C.

doi:10.1016/j.ocecoaman.2014.11.015

Cited by 61 publications

(30 citation statements)

References 46 publications

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“…(), and Benassai et al . (), changes along 12 topographic profiles, extending either from the dune crest or from the base of man‐made scarps (Figure ) up to the closure depth, have been defined. In detail, the topographic profiles were obtained by using a Differential Global Position System survey (DGPS), while the submerged beach profiles were obtained by means of a single‐beam survey carried out by IAMC‐CNR of Naples, covering the area extending up to the closure depth (Di Paola et al ., ).…”

Section: Methodsmentioning

confidence: 99%

Coastal subsidence detected by Synthetic Aperture Radar interferometry and its effects coupled with future sea‐level rise: the case of the Sele Plain (Southern Italy)

Paola

Alberico

Aucelli

et al. 2017

J Flood Risk Management

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The amount of coastal subsidence on the Sele River coastal plain has been examined and measured with local vertical land movement data. The vertical displacements, derived by satellite radar differential interferometry processing (Ps‐InSAR), show that the analysed coastal sector is characterised by a south‐eastward decrease of vertical subsidence rates. These results have been coupled with sea‐level rise (SLR) scenarios, in order to identify the most critical areas. In general, the subsidence mostly affects areas where alluvial deposits are thicker, the back‐dune areas and the Sele River mouth, all late Holocene in age. Five local SLR scenarios allow identifying zones in the plain potentially prone to inundation and the shoreline retreat for the years 2065 and 2100. For these dates, 2.2% and 7.06% of the investigated area will have a topography lower than the estimated future sea level. Moreover, results show that the extent of the areas potentially exposed to inundation and erosion increases moving from south to north.

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Section: Methodsmentioning

confidence: 99%

Coastal subsidence detected by Synthetic Aperture Radar interferometry and its effects coupled with future sea‐level rise: the case of the Sele Plain (Southern Italy)

Paola

Alberico

Aucelli

et al. 2017

J Flood Risk Management

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“…The mechanism of wave attack on the beach is schematized with two contributions, the first linked with coastal inundation (and relative wave run-up evaluation) and the second associated with the short-term beach erosion. These contributions have already been used to evaluate the coastal vulnerability and risk [7], due to wave storms, sea level rise [8] and subsidence [9].…”

Section: Introductionmentioning

confidence: 99%

Monitoring and Modelling Coastal Vulnerability and Mitigation Proposal for an Archaeological Site (Kaulonia, Southern Italy)

et al. 2018

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This paper presents a Coastal Vulnerability Assessment (CVA) of a microtidal beach located on the Ionian Sea in Calabria region (southern Italy) in order to examine the influence of the different run-up equations on CVA score and propose mitigation measures for the most vulnerable parts of the beach. The coastal area has been severely eroded by extreme wave storms, which have also damaged important archaeological structures located on a nearby cliff. A typical 1 year return period (T r ) storm, associated with the recent criticalities, was chosen to test the different run-up formulas (Holman (1986), Mase (1989) Stockdon et al. (2006) and Poate et al. (2016)) on a number of beach profiles in order to check the sensitivity of the CVA calculation with regard to the different run-up equations. The obtained results provide evidence that different run-up levels often give rise to different CVA scores. Based on vulnerability results, some mitigation measures have been proposed for the beach in front of the archaeological area, based on submerged detached breakwater and an adherent gabion wall for the cliff defence.

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“…The monitoring and the forecasting of beach processes become particularly critical along the unstable coastal areas, possibly subjected to coastal vulnerability , and coastal risk due to sea level rise (Benassai et al, 2015) and subsidence (Aucelli et al, 2017). The evolution of winds, waves and wind-driven sea circulation is of great applicative relevance for the observation of oceanographic phenomena (Bidlot et al, 2002).…”

Section: Introductionmentioning

confidence: 99%

Rip current evidence by hydrodynamic simulations, bathymetric surveys and UAV observation

Benassai

Aucelli

Budillon

et al. 2017

Nat. Hazards Earth Syst. Sci.

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Abstract. The prediction of the formation, spacing and location of rip currents is a scientific challenge that can be achieved by means of different complementary methods. In this paper the analysis of numerical and experimental data, including RPAS (remotely piloted aircraft systems) observations, allowed us to detect the presence of rip currents and rip channels at the mouth of Sele River, in the Gulf of Salerno, southern Italy. The dataset used to analyze these phenomena consisted of two different bathymetric surveys, a detailed sediment analysis and a set of high-resolution wave numerical simulations, completed with Google Earth ™ images and RPAS observations. The grain size trend analysis and the numerical simulations allowed us to identify the rip current occurrence, forced by topographically constrained channels incised on the seabed, which were compared with observations.

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Coastal risk assessment of a micro-tidal littoral plain in response to sea level rise

Cited by 61 publications

References 46 publications

Coastal subsidence detected by Synthetic Aperture Radar interferometry and its effects coupled with future sea‐level rise: the case of the Sele Plain (Southern Italy)

Coastal subsidence detected by Synthetic Aperture Radar interferometry and its effects coupled with future sea‐level rise: the case of the Sele Plain (Southern Italy)

Monitoring and Modelling Coastal Vulnerability and Mitigation Proposal for an Archaeological Site (Kaulonia, Southern Italy)

Rip current evidence by hydrodynamic simulations, bathymetric surveys and UAV observation

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