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分析海浪方向谱的扩展本征矢方法

 Ⅱ.方法的验证、比较和应用

引用本文:管长龙,文圣常,张大错. 分析海浪方向谱的扩展本征矢方法

 Ⅱ.方法的验证、比较和应用[J]. 海洋与湖沼, 1995, 26(3): 241-246

作者姓名:管长龙  文圣常  张大错
作者单位:青岛海洋大学物理海洋研究所 青岛 266003;青岛海洋大学物理海洋研究所 青岛 266003;青岛海洋大学物理海洋研究所 青岛 266003
基金项目:国家自然科学基金资助项目,48970261号
摘    要:采用Longuet-Higgins形式的方向分布函数作为已知谱,用模拟数据检验了作者是所提出的估计方法EEV合理性,并与扩展最大似然方法(EMLM)及Lygre等(1986)的最在熵方法(MEM)作了比较,在验证和比较中,使用纵摇-横摇浮标,星形阵形和CERC阵列作为复合阵列,计算表明,EEV优于EMLM和EME。最后将EEV和EMLM两种方法应用于仪器阵列的外海观测数据,得到了比较合理的海浪方向

关 键 词:海浪 方向谱 估计法 本征矢
收稿时间:1993-09-30
修稿时间:1993-11-14

AN EXTENDED EIGENVECTOR METHOD FOR ESTIMATION OF DIRECTIONAL SPECTRA OF SEA WAVES

II. VERIFICATION, COMPARISON AND APPLICATION OF THE METHOD

Guan Changlong,Wen Shengchang and Zhang Dacuo. AN EXTENDED EIGENVECTOR METHOD FOR ESTIMATION OF DIRECTIONAL SPECTRA OF SEA WAVES

II. VERIFICATION, COMPARISON AND APPLICATION OF THE METHOD[J]. Oceanologia Et Limnologia Sinica, 1995, 26(3): 241-246

Authors:Guan Changlong  Wen Shengchang  Zhang Dacuo
Affiliation:Institute of Physical Oceanograpky, Ocean Uniucrsity of Qingdao, Qingdao 266003;Institute of Physical Oceanograpky, Ocean Uniucrsity of Qingdao, Qingdao 266003;Institute of Physical Oceanograpky, Ocean Uniucrsity of Qingdao, Qingdao 266003
Abstract:In Part I. of the paper, an extended eigenvector method (EEV) for the? estimation of directional spectra of sea waves was derived. The EEV is verifiedand compared with the extension of the maximum likelihood method (EMLM) and the maximum entropy method (MEM) of Lygre et al. by numerical simulations in the present paper. In the numerical simulations, the directional spreading functions of Longuet-Higgins type are employed as input and the existence of noise background in input is considered. Three types of pitch / roll buoy, star and CERC of wave probe array were adopted. The results of the simulations show that the EEV is superior to the EMLM and the MEM, and is especially competent for sea waves with high background noise and narrow angular spread. The EEV and the EMLM methods and 4 probes were used for the estimation of directional spectra from field observation data obtained at an oil platform. The estimated directional spectra are reasonable and reliable.
Keywords:Directional spectrum   Estimation method   Eigenvector
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