The limitations of statistical low runs prediction in rough seas: A study based on real wave data
The limitations of statistical low runs prediction in rough seas: A study based on real wave data
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波涛汹涌的大海中统计低速运行预测的局限性：基于真实波浪数据的研究
DOI：
10.1016/j.oceaneng.2019.02.022
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发表时间：
2019
影响因子：
5
通讯作者：
Caiazzo G
中科院分区：
文献类型：
--
作者：
Caiazzo G
这项工作的目的是估计的可行性波运行的统计预测在波涛汹涌的大海，木村的理论（木村，1980年）的具体应用。根据Kimura的说法，指定长度的波的低运行概率是一组中连续波之间相关性的函数。波浪浮标测量的时间序列（位于英国比德福德湾，数据从海峡海岸网站下载）已被用来说明分析。谱分析表明，较高的有效波高值对应于较宽的带宽谱。木村的低运行预测明显受到这方面的影响：通过绘制低运行概率对入射波的数量，窄谱显示低运行概率曲线的陡峭行为，而较宽的谱对应于较低值的平坦概率曲线。因此，似乎更宽的光谱以更多的分组现象为特征。此外，木村的估计已被计算在一个自适应帧应用于信号，以测试的敏感性的数据的长度;已发现6-8小时的最小长度具有稳定的预测的低运行概率。
This work aims to estimate the feasibility of wave runs statistical prediction in rough seas, with a specific application of Kimura's theory (Kimura, 1980). According to Kimura, the probability of a low run of waves of assigned length is a function of the correlation between consecutive waves in a group. Time series from wave buoy measurements (located at Bideford Bay, England and data downloaded from the Channel Coast website) have been used to illustrate the analysis. The spectral analysis showed that higher values of the significant wave height correspond to broader bandwidth spectra. The Kimura's low runs prediction is noticeably affected by this aspect: by plotting the low runs probability against the number of incoming waves, narrow spectra show a steeper behaviour of the low runs probability curve, whereas broader spectra correspond to flat probability curves settled on lower values. Therefore, it appears that broader spectra are characterised by more grouping phenomena. Moreover, the Kimura's estimation has been calculated in an adaptive frame applied to the signal, in order to test the sensitivity to the length of the data; a minimum length of 6–8 h has been found to have a stable prediction of the low runs probability.
用于船舶运动预测的最先进的波浪测量
DOI：
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发表时间：
2010
期刊：
影响因子：
--
作者：
J. Girón;J. Jiménez
通讯作者：
J. Jiménez
浅水中的波浪群
影响因子：
--
作者：
S. Elgar;R. Guza;R. Seymour
通讯作者：
R. Seymour
3 – 随机过程理论
DOI：
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发表时间：
1981
期刊：
影响因子：
--
作者：
H. Barrett;W. Swindell
通讯作者：
W. Swindell