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

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...

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Bibliographic Details
Published in:Natural hazards and earth system sciences 2017-09, Vol.17 (9), p.1493-1503
Main Authors: Benassai, Guido, Aucelli, Pietro, Budillon, Giorgio, De Stefano, Massimo, Di Luccio, Diana, Di Paola, Gianluigi, Montella, Raffaele, Mucerino, Luigi, Sica, Mario, Pennetta, Micla
Format: Article
Language:English
Subjects:
Aerial surveys
Airborne observation
Aircraft
Bathymetric surveys
Channels
Coasts
Computer simulation
Environmental research
Fluid dynamics
Grain size
High resolution
Hydrodynamics
Morphology
Numerical simulations
Observations
Ocean floor
Polls & surveys
Remotely piloted aircraft
Rip channels
Rip currents
River channels
Rivers
Sediment analysis
Sediments
Simulation
Soil erosion
Surveys
Trend analysis
Unmanned aerial vehicles
Wind
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Summary: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 EarthTM 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.
ISSN:1684-9981
1561-8633
1684-9981
DOI:10.5194/nhess-17-1493-2017