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Directional Waves in the Nearshore Coastal Region of Perth ...

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<strong>Directional</strong> waves <strong>in</strong> <strong>the</strong> nearshore coastal region <strong>of</strong> <strong>Perth</strong>, Western AustraliaHuey Jean TanHorikawa (1988). However, <strong>the</strong>re are <strong>in</strong>herent drawbacks to <strong>the</strong>se methods as <strong>the</strong>y sometimesestimate erroneous directional spectra due to <strong>in</strong>accuracies (e.g. <strong>in</strong>accuracy <strong>of</strong> <strong>the</strong> cross-powerspectra). Hence, <strong>the</strong> maximum entropy pr<strong>in</strong>ciple method (MEP), Bayesian directionalspectrum estimation method (BDM) and extended maximum entropy pr<strong>in</strong>ciple method(EMEP) were developed to mitigate <strong>the</strong> drawbacks <strong>of</strong> conventional methods, and have s<strong>in</strong>ceprovided a powerful means for reliably estimat<strong>in</strong>g an accurate directional wave spectrum(Hashimoto 1995).The MEP method derives <strong>the</strong> directional wave spectrum us<strong>in</strong>g location-dependent threequantitymeasurements related to random wave motion (eg, pitch-roll-and-heave data). Itprovides <strong>the</strong> directional estimates with a higher resolution than that obta<strong>in</strong>ed by <strong>the</strong>conventional methods, however it is not a general method because it can only utilise a threequantitymeasurement and does not consider errors <strong>in</strong> <strong>the</strong> cross-power spectra (Hashimoto1995). The BDM is a general method because it can utilise multi-quantity measurementsobta<strong>in</strong>ed from mixed <strong>in</strong>strument arrays and provide <strong>the</strong> highest resolution whilst provid<strong>in</strong>g areliable and robust method for estimat<strong>in</strong>g <strong>the</strong> directional spectrum and cross-power spectracontam<strong>in</strong>ated by errors. The ma<strong>in</strong> drawback <strong>of</strong> <strong>the</strong> BDM is that it utilises a time-consum<strong>in</strong>giterative computation and cannot always be used for three-quantity measurements (Hashimoto1995). The EMEP method conta<strong>in</strong>s <strong>the</strong> benefits <strong>of</strong> <strong>the</strong> BDM and can use three-quantitymeasurements and yield equivalent results <strong>in</strong> a shorter time (Hashimoto 1995). More<strong>in</strong>formation on <strong>the</strong> EMEP method is provided <strong>in</strong> Appendix A.16 Literature Review

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