Analysis of data characterizing tide and current fluxes in coastal basins
Many coastal monitoring programmes have been carried out to investigate in situ hydrodynamic patterns and correlated physical processes, such as sediment transport or spreading of pollutants. The key point is the necessity to transform this growing amount of data provided by marine sensors into...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2017-07-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | https://www.hydrol-earth-syst-sci.net/21/3441/2017/hess-21-3441-2017.pdf |
| Summary: | Many coastal monitoring programmes have been carried out to investigate in situ
hydrodynamic patterns and correlated physical processes, such as sediment
transport or spreading of pollutants. The key point is the necessity to
transform this growing amount of data provided by marine sensors into
information for users. The present paper aims to outline that it is possible
to recognize the recurring and typical hydrodynamic processes of a coastal
basin, by conveniently processing some selected marine field data. The
illustrated framework is made up of two steps. Firstly, a sequence of
analysis with classic methods characterized by low computational cost was
executed in both time and frequency domains on detailed field measurements
of waves, tides, and currents. After this, some indicators of the
hydrodynamic state of the basin were identified and evaluated. Namely, the
assessment of the net flow through a connecting channel, the time delay of
current peaks between upper and bottom layers, the ratio of peak ebb and
peak flood currents and the tidal asymmetry factor exemplify results on the
vertical structure of the flow, on the correlation between currents and tide
and flood/ebb dominance. To demonstrate how this simple and generic
framework could be applied, a case study is presented, referring to Mar
Piccolo, a shallow water basin located in the inner part of the Ionian Sea
(southern Italy). |
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| ISSN: | 1027-5606 1607-7938 |