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- According to the need of project design for offshore engineering and coastal engineering, this paper statistically analyses the annual extreme data of waves acquired at 19 observation stations along the coast of China. Five kinds of distribution curves are adopted: Pearson Ⅲ(P-Ⅲ), Log-Extreme I (LE), Log-Normal(LN), Weibull(W) and Exponential r(Eг) to check the adaptability to the long-term distribution of annual extreme of wave in the China Sea areas. The New Curve Fittling Method (NFIT) method and Probability Weighted Moments (PWM) method are used to estimate the distribution parameters and thereby to derive the design wave parameters with different return periods at 19 observation stations. The test results show that by combining Eг distribution and NFIT parameter estimation and optimum seeking by computer, the design wave parameters can be estimated with high accuracy, high speed and high efficiency, and the randomness of the estimated results can be avoided.
- According to the need of project design for offshore engineering and coastal engineering, this paper bodies analyzes the annual extreme data of waves acquired at 19 observation stations along the coast of China. Five kinds of distribution curves are adopted: Pearson III (P-III ), Log-Extreme I (LE), Log-Normal (LN), Weibull (W) and Exponential r (Eг) to check the adaptability to the long-term distribution of annual extreme of wave in the China Sea areas. The New Curve Fittling Method (NFIT) method and Probability Weighted Moments (PWM) method are used to estimate the distribution parameters and thereby to derive the design wave parameters with different return periods at 19 observation stations. The test results show that by combining Eг distribution and NFIT parameter estimation and optimum seeking by computer, the design wave parameters can be estimated with high accuracy, high speed and high efficiency, and the randomness of the estimated results can be avoided.