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随机海浪的列率谱分析研究
引用本文:孙孚,张书文.随机海浪的列率谱分析研究[J].海洋与湖沼,2001,32(5):547-550.
作者姓名:孙孚  张书文
作者单位:1. 青岛海洋大学物理海洋实验室
2. 海洋环境科学和数值模拟国家海洋局重点实验室
基金项目:国家自然科学基金资助项目 4 97762 85号,山东省教委资助项目。
摘    要:首次将列率谱分析的方法引入到随机海浪的研究。根据不同环境条件下实验室资料,对列率谱与频率谱进行了比较。结果表明,列率频对频率谱高频部分有明显改善,特别对二倍频含能段的分辨具有明显的优越性。另外,列率谱具有计算速度快、简单易行、分辨率高等优点。

关 键 词:非线性随机海浪  列率谱  频率谱  谱估计方法
收稿时间:1998/12/6 0:00:00
修稿时间:1998年12月6日

STUDY OF SEQUENCY SPECTRAL ANALYSIS OF RANDOM SEA WAVES
SUN Fu and ZHANG Shu-Wen.STUDY OF SEQUENCY SPECTRAL ANALYSIS OF RANDOM SEA WAVES[J].Oceanologia Et Limnologia Sinica,2001,32(5):547-550.
Authors:SUN Fu and ZHANG Shu-Wen
Abstract:Up to now, a large number of sea wave spectra, es pe cially the wind generated sea wave spectra, have been obtained. Several were der ived form the observed wave factors based upon some assumptions, but most were o btained though the correlation function by means of the discrete Fourier transfo rm using wave records. The latter, as the main method to obtain the sea wave spe ctrum, does well in describing the main part of the spectral energy, whereas som e drawbacks exist when dealing with nonlinear random sea wave. In our study, the sequency spectral method for nonlinear random wave is introduced to describe th e high frequency nonlinear effect.Experiment were conducted in the wind-wave fume laboratory of Ocean University o f Qingdao. Using two kinds of different wind speeds and two fetches in the wind- wave experiment, and a kind of wave essential factor, a group of slope and an ar ray of wave gauge were also used in the bottom slope experimental arrangement.Calculated frequency spectra are compared with the sequency spectra to the basis of different observation data sets. The difference between these two spectra is less significant over the band of the predominant wave energy, but rather signi ficant within higher frequencies, especially near the twice peak frequency. Furt hermore, compared with frequency spectral analysis, the sequency spectrum method has many advantages including faster calculating speed, convenient use and high distinguishability.
Keywords:Nonlinear random sea wave  Sequency spectra  Frequency spectra
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