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Figure 3.12 Breaking severity assumed as bubble radius R 0 versus laboratory energy loss (2.24) .
Vertical bars are for 95% confidence limit on R 0 (denoted as R in the figure). Figure is reproduced
from Manasseh et al. ( 2006 ) © American Meteorological Society. Reprinted with permission
(5) Each detected bubble is linked to the synchronous wave-height record by means of a zero-
crossing or RWR analysis, thus determining the period of wave breaking at the time of bubble
detection and the wave-period distribution of the breaking rate (this procedure is detailed in
Section 5.3 dedicated to breaking-probability analysis);
(6) From the laboratory experiments, the mean bubble size can be related to wave breaking severity;
(7) The rate of occurrence of breaking events times their severity can be used to estimate wave
energy dissipation due to breaking ( Sections 2.7 , 6.2 );
(8) The wave-period distribution of the dissipation rate is obtained (see Section 6.2 ).
At the time of writing, the instrumentation and equipment tested by Manasseh et al.
( 2006 ) only exists as a laboratory version, and its field and any industrial applications are
yet to be developed. Potentially, however, the technique is very promising in this regard.
Being a passive technique, it does not involve large levels of power supply and can be oper-
ated on batteries. If collocated with surface-wave measurements and intended to measure
wave-breaking occurrence and severity, the device only has to record the size of bubbles
and the time when they are generated. Such a sequence of double numbers, particularly
given the fact that wave breaking is a relatively rare event, requires a minimal amount
of electronic memory for data storage. Therefore, a field version of the device is quite
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