Accession Number : ADA329368
Title : A Stochastic Model for Shoaling Waves.
Descriptive Note : Master's thesis,
Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA
Personal Author(s) : Norheim, Craig A.
PDF Url : ADA329368
Report Date : MAR 1997
Pagination or Media Count : 57
Abstract : Boussinesq-type equations for weakly nonlinear, weakly dispersive waves have been used extensively to model wave shoaling on beaches. Deterministic Boussinesq models cast in the form of coupled evolution equations for the amplitudes and phases of discrete Fourier modes (Freilich and Guza, 1984) describe the shoaling process accurately for arbitrary incident wave conditions, but are numerically cumbersome for predicting the shoaling evolution of continuous spectra of natural wind-generated waves. Here an alternative stochastic formulation of a Boussinesq model (Herbers and Burton, 1996, based on the closure hypothesis that phase coupling between quartets of wave components is weak) is implemented that predicts the evolution of a continuous frequency spectrum and bispectrum of waves normally incident on a gently sloping beach with straight and parallel depth contours. The general characteristics of the model are examined with numerical simulations for a wide range of incident wave conditions and boflom profiles. Stochastic and deterministic Boussinesq model predictions are compared to field observations from a cross-shore transect of bottom pressure sensors deployed on a barred beach near Duck, NC, during the recent DUCK94 Experiment Predictions of the two models are similar and describe accurately the observed nonlinear shoaling transformation of wave spectra.
Descriptors : *STOCHASTIC PROCESSES, *WAVES, MATHEMATICAL MODELS, COUPLING(INTERACTION), FREQUENCY, SIMULATION, DETECTORS, PREDICTIONS, FORMULATIONS, NUMERICAL ANALYSIS, DEPTH, SPECTRA, PRESSURE, SLOPE, HYPOTHESES, PARALLEL ORIENTATION, EQUATIONS, RANGE(EXTREMES), BEACHES, DISCRETE FOURIER TRANSFORMS, TRANSFORMATIONS, CONTINUOUS SPECTRA, DISPERSIONS, CONTOURS.
Subject Categories : Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE