Hilbert Transform And The Orthogonal Principle In Linear M.s. Estimation For Estimating The Annual Extreme Wave Heights At A Project Site

Following a general review of the works on the estimation of extreme-wave condition and a brief introduction to the Hilbert transform technique and orthogonality principle in linear m.s. estimation of stochastic processes, this thesis presents a refined method for estimating the annual extreme wave heights at a coastal or offshore project site on the basis of the data acquired at some nearby routine hydrographic stations. This method is based on Hilbert transform technique and the orthogonality principle in linear m.s. estimation of stochastic processes. The error of the method is analyzed and compared with that of the conventional method. It is found that the method is able to effectively reduce the error so long as some feasible measures are adopted. A simulated test of the method has been conducted in a large-scale wind-wave flume. The test resulis are in good agreement with those given by theoretical error analysis. A scheme to implement the method is proposed on the basis of error analysis. The scheme is so designed as to reduce the estimation error as far as possible. This method is also suitable to utilizing satellite wave data for the estimation.