DISTRIBUTION OF WAVE HEIGHT MAXIMA IN STORM SEA STATES

被引:0
作者
Cherneva, Zhivelina [1 ]
Soares, C. Guedes [1 ]
Petrova, Petya [1 ]
机构
[1] Univ Tecn Lisboa, Ctr Marine Technol & Engn CENTEC, Inst Super Tecn, P-1049001 Lisbon, Portugal
来源
OMAE 2008: PROCEEDINGS OF THE 27TH INTERNATIONAL CONFERENCE ON OFFSHORE MECHANICS AND ARCTIC ENGINEERING - 2008, VOL 2: STRUCTURES, SAFETY AND RELIABILITY | 2008年
关键词
FREAK WAVES; SURFACE; GRAVITY; WATER;
D O I
暂无
中图分类号
U6 [水路运输]; P75 [海洋工程];
学科分类号
0814 ; 081505 ; 0824 ; 082401 ;
摘要
The effect of the coefficient of kurtosis as a measure of the nonlinearity of third order on the distribution of the wave height maxima has been investigated. Measurements of the surface elevation during a storm at the North Alwyn platform in the North Sea have been used. The mean number of waves in the series is around 100. The maximum wave statistics have been compared with nonlinear theoretical distributions. It was found that the empirical probability densities of the maximum wave heights describe qualitatively the shift of the distribution mode towards higher values. The tendency for the peak of distribution to diminish with increase of the coefficient of kurtosis up to 0.6 is also clearly seen. However, the empirical peak remains higher than the theoretically predicted one. Exceedance probability of the maximum wave heights was also estimated from the data and was compared with the theory. For the highest coefficients of kurtosis nearly 0.6 the theoretical distribution approximates very well the empirical data. For lower coefficients of kurtosis the theory tends to overestimate the exceedance probability of the maximum wave heights.
引用
收藏
页码:1025 / 1031
页数:7
相关论文
共 50 条
  • [41] Source term balance in a severe storm in the Southern North Sea
    van Vledder, Gerbrant Ph.
    Hulst, Sander Th. C.
    McConochie, Jason D.
    OCEAN DYNAMICS, 2016, 66 (12) : 1681 - 1697
  • [42] Empirical wave run-up formula for wave, storm surge and berm width
    Park, Hyoungsu
    Cox, Daniel T.
    COASTAL ENGINEERING, 2016, 115 : 67 - 78
  • [43] Height distribution of stochastic Lagrange ocean waves
    Aberg, S.
    Lindgren, G.
    PROBABILISTIC ENGINEERING MECHANICS, 2008, 23 (04) : 359 - 363
  • [44] BEYOND WAVES & SPECTRA: EULER CHARACTERISTICS OF OCEANIC SEA STATES
    Fedele, Francesco
    Sampath, Prasanna
    Gallego, G.
    Yezzi, A.
    Benetazzo, A.
    Tayfun, M. A.
    Forristall, G. Z.
    Cavaleri, L.
    Sclavo, M.
    Bastianini, M.
    OMAE 2009, VOL 2: STRUCTURES, SAFETY AND RELIABILITY, 2009, : 413 - 420
  • [45] Spatiotemporal Distribution of Nitrous Oxide on the Northeastern Bering Sea Shelf
    Zhang, Jiexia
    Zhan, Liyang
    Chen, Liqi
    Jin, Haiyan
    Wu, Man
    Ye, Wangwang
    Liu, Jian
    WATER, 2022, 14 (22)
  • [46] Validation of the Boccotti's generalized model for large nonlinear wave heights from laboratory mixed sea states
    Petrova, P. G.
    Guedes Soares, C.
    APPLIED OCEAN RESEARCH, 2015, 53 : 297 - 308
  • [47] Soliton groups and extreme wave occurrence in simulated directional sea waves
    Slunyaev, A. V.
    PHYSICS OF FLUIDS, 2024, 36 (07)
  • [48] Wave Height and Wave Velocity Measurements in the Vicinity of the Break Point in Laboratory Plunging Waves
    Mukaro, R.
    Govender, K.
    McCreadie, H.
    JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME, 2013, 135 (06):
  • [49] Wave Height and Wave Period Measurements Using Small-Aperture HF Radar
    Deng, Min
    Zhao, Chen
    Chen, Zezong
    Ding, Fan
    Wang, Ting
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [50] Deterministic wave prediction for unidirectional sea-states in real-time using Artificial Neural Network
    Law, Y. Z.
    Santo, H.
    Lim, K. Y.
    Chan, E. S.
    OCEAN ENGINEERING, 2020, 195