Yu, M. and Du, H., 2019. Numerical analysis of long period wave characteristics in sea area based on mathematical probability and statistics. In: Guido-Aldana, P.A. and Mulahasan, S. (eds.), Advances in Water Resources and Exploration. Journal of Coastal Research, Special Issue No. 93, pp. 119–124. Coconut Creek (Florida), ISSN 0749-0208.

In order to improve the numerical analysis ability of long period wave characteristics in sea area, a numerical analysis method of long period wave feature in sea area based on mathematical probability statistics is proposed. The big data statistical analysis model of long period wave feature analysis in sea area is constructed, and the feature modeling and probability density feature analysis of long period wave data in sea area are carried out by using fuzzy association rule feature mining method. Combined with the mathematical probability statistical method, the fuzzy regional clustering processing of the long period wave data in the sea area is realized, and the feature quantity of the association rules of the long period wave in the sea area is extracted. The fuzzy clustering of the long period wave in the sea area is carried out by using the fuzzy C means clustering fusion method, and the random probability density distribution characteristic quantity of the long period wave in the sea area is excavated in the data clustering center. Combined with the feature space distributed structure reorganization method, the long period wave data is reorganized in the sea area, and the transmission control and feature numerical analysis optimization of the long period wave data in the sea area are realized. The simulation results show that the numerical analysis of long period wave characteristics in sea area is accurate and the data clustering performance is better, which improves the evaluation ability of long period wave dynamic evolution in sea area.