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1 April 2013 Characteristic properties of different vessel wake signals
Ira Didenkulova, Alex Sheremet, Tomas Torsvik, Tarmo Soomere
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Abstract

Didenkulova, I., Sheremet, A., Torsvik, T. and Soomere, T., 2013. Characteristic properties of different vessel wake signals.

The potential threat in terms of environmental protection and safe navigation posed by wake waves from high-speed ferries and fast conventional ships is well documented. Vessels that travel in the near-critical regime (depth Froude number ~1) at some sections along their ship tracks can generate packets of large, solitonic, very long and long crested waves. However, it is difficult to determine a general characterization of such wakes at the coast, due to the transient and nonlinear nature of this phenomenon, and the fact that wake impact is influenced by the local bathymetry and coastline configuration. This paper investigates the potential benefits of wake analysis by means of a time-frequency technique (windowed Fourier transform), which is a standard signal analysis method that has only recently been applied for wake analysis. Analysis of ship wakes have been performed based on instrumental data of sea surface elevation recorded at different sites in Tallinn Bay, the Baltic Sea, which is characterized by very intense ship traffic and provides a rich collection of vessel-wake signals. Results show that the wake signals are easily identified in spectrograms. The method is particularly useful for identification of low frequency signals that may easily be masked by high frequency noise in the wave record. Furthermore, the spectrogram provides information that makes it possible to associate wake events with individual ships at a given location. This approach also opens a new direction for the statistical description of wakes, applicable to the characterization of the “wake climate” for sites with intense vessel traffic.

Ira Didenkulova, Alex Sheremet, Tomas Torsvik, and Tarmo Soomere "Characteristic properties of different vessel wake signals," Journal of Coastal Research 65(sp1), 213-218, (1 April 2013). https://doi.org/10.2112/SI65-037.1
Received: 7 December 2012; Accepted: 6 March 2013; Published: 1 April 2013
KEYWORDS
spectrogram analysis
Surface wave analysis
wave measurement
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