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Microwave scattering from surf zone waves
Wave breaking in the surf zone is an important forcing
mechanism on the generation of nearshore currents and in the driving
of sediment transport. At the same time, wave breaking can have
significant spatial and temporal variability that needs to be
accounted for in the description of nearshore processes. Remote
sensors are best suited to collect wave breaking measurements due to
their large footprint and synoptic capabilities, but in order to
extract quantitative wave parameters a proper understanding of the
imaging mechanisms is essential. Microwave sensors have been shown
to be able to measure wave parameters in deep water, but in the surf
zone many of the assumptions the algorithms are based upon do not
hold. Additionally, the dynamics of breaking waves are different and
may affect in a yet determined way the signal.
This dissertation first intends to address an observational gap
regarding surf zone microwave measurements. A novel combination of
synchronous, large coverage marine radar, calibrated pulsed Doppler
radar and video observations from a field site enable the analysis
of the evolution and characteristics of the wave signature. The
combined data sets yield superior discrimination rates between
breaking and non-breaking waves. Discrimination also allows the
study of the microwave scattering by source, where active breaking
is separated from remnant foam and steepening waves. Results show
that the backscattered power from breaking waves, specifically from
the wave roller, is a several dB larger than that of foam and
steepening waves and independent of the environmental conditions and
polarization state. While similar results have been obtained for
deep water waves and variety of scattering models have been
proposed, it is found that none of the models can describe all the
data. Additionally, most of the models neglect the roller
morphology. Therefore, in the last section a scattering model is
introduced, in which the roller is treated as a volume where a
collection of water droplets embedded in air can scatter
incoherently. Multiple interactions of the scattered fields between
particles and the boundaries are also accounted for. Though the
model formulation is complex, it depends on a few physical
parameters (diameter, volume fraction, medium permittivity) and no
calibration constants. Comparison against data shows that the model
does a reasonable job in predicting the observed scattering levels,
polarization response and grazing angle dependencies, although is
not capable to reproduce the maximum scattered levels observed and
predicts polarization ratios always less than unity
THE USE OF MARINE RADAR FOR INTERTIDAL AREA SURVEY AND MONITORING COASTAL MORPHOLOGICAL CHANGE
Surveying and monitoring the dynamic morphology of intertidal areas is a logistically challenging and expensive task, due to their large area and complications associated with access. This thesis describes a contribution to the nearshore survey industry; an innovative methodology is developed and subsequently applied to marine radar image data in order to map topography within the intertidal area. This new method of intertidal topographical mapping has a reasonable spatial resolution (5 m) and operates over a large radial range (~4 km) with the required temporal resolution to observe both event-based and long-term morphological change (currently bi-weekly surveys). This study uses nearly three years of radar image data collected during 2006-2009 from an installation on Hilbre Island at the mouth of the Dee estuary, northwest UK. The development of the novel 'radar waterline method' builds on previous waterline techniques and improves upon them by moving the analysis from the spatial to the temporal domain, making the analysis extremely robust and more resilient to poor quality image data. Results from radar topographical surveys are compared to those of a LiDAR survey during October 2006. The differences compare favourably across large areas of the intertidal zone, within the first kilometre 97% of radar-derived elevations lie within 1 m of LiDAR estimations. Concentrations of poor estimations are seen in areas that are shown to be shadowed from the radar antenna or suffering from pooling water during the ebb tide. The full three-year dataset is used to analyse changing intertidal morphology over that time period using radar-derived surveys generated every two weeks. These surveys are used to perform an analysis of changing sediment volume and mean elevation, giving an indication of beach 'health' and revealing a seasonal trend of erosion and accretion at several sites across the Dee estuary. The ability of the developed technique to resolve morphological changes resulting from storm events is demonstrated and a quantification of that impact is provided. The application of the technique to long-range (7.5 km) marine radar data is demonstrated in an attempt to test the spatial and operational limitations of this new method. The development of a mobile radar survey platform, the Rapidar allows remote areas to be surveyed and provides a platform for potential integration with other survey instruments. A description of the potential application to coastal management and monitoring is presented. Areas of further work intended to improve vertical elevation accuracy and robustness are proposed. This contribution provides a useful tool for coastal scientists, engineers and decision-makers interested in the management of coastal areas that will form part of integrated coastal management and monitoring operations. This method presents several key advantages over traditional survey techniques including; the large area of operation and temporal resolution of repeat surveys, it is limited primarily by topographical shadowing and low wind conditions limiting data collection