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2002年春季吕宋海峡海流观测及其谱分析   总被引:1,自引:0,他引:1       下载免费PDF全文
基于2002年春季航次在吕宋海峡海域锚碇测流站(20°49′57″N,120°48′12″E)200,500与800m锚碇测流水层观测流,进行的海流特征分析与最大熵方法谱分析,得到以下主要结果.(1)在200m处,观测期间海流平均速度为(47.4cm/s,346°),最大观测海流速度Vmax和最大日平均海流速度Vd,max分别为(103.8cm/s,10°)和(71.6cm/s,339°);在500m处,观测期间平均流速为(20.3cm/s,350°),最大观测海流速度Vmax和最大日平均海流速度Vd,max分别为(74.1cm/s,17°)和(39.1cm/s,317°).这些都表明黑潮在吕宋海峡锚碇测流站200和500m处向西北方向入侵南海.(2)在800m处,观测期间平均流速为(1.2cm/s,35°),最大观测海流速度Vmax和最大日平均海流速度Vd,max分别为(10.8cm/s,76°)和(4.7cm/s,46°).这些都表明,它们的流向皆为东北向.比较在每层实测流的结果,表明在800m层海流状况与200和500m层海流状况是不相同的,流速随深度变深明显减弱,流向向右偏转.(3)在观测期间200,500和800m处,日平均流速在4月皆比3月时要强.(4)在200~800m潮流随深度变深有所变化,除了在500m处f<0情况全日潮峰值高于半日潮峰值以及对于半日潮以逆时针方向为主以外,其余情况在200~800m水层半日潮峰值都要高于全日潮的峰值,并且皆以顺时针方向旋转为主.(5)在200~800m水层都存在15d以上或14d左右的周期振动,例如在逆时针方向分量谱(f>0)在200,500m处存在19d左右的周期振动;在800m处存在14d左右的周期振动(f<0).(6)在200~800m处都存在4~6d周期天气过程的振动和2~3d周期振动.还都存在34.5h左右惯性振动周期,它的振动方向为顺时针方向.(7)通过交叉谱的计算,揭示:1)200与500m层两组流速时间序列对于半日潮周期、全日潮周期、15d以上的周期振动、2~3d的周期振动等都有很好的相关性,且对15d以上的长周期振动几乎是同步的;2)500与800m层两组流速时间序列对于4~6d天气过程的周期振动与2~3d的周期振动等都有很好的相关性,但它们之间有相位差,有滞后或提前现象.  相似文献   
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Based on the maximum-entropy(ME)principle,a new power spectral estimator for random waves is derived in the form of S~(ω)=a/8H~2(2π)~(d 1)ω~-~((d 2))exp[-b(2π/ω)~n],by solving a variational problem subject to some quite general constraints.This robust method is comprehensive enough to describe the wave spectra even in extreme wave conditions and is superior to periodogram method that is not suitable to process comparatively short or intensively unsteady signals for its tremendous boundary effect and some inherent defects of FFT.Fortunately,the newly derived method for spectral estimation works fairly well,even though the sample data sets are very short and unsteady,and the reliability and efficiency of this spectral estimator have been preliminarily proved.  相似文献   
3.
A procedure for estimating directional wave spectra from an array of wave probes based on the Maximum Entropy Method (MEM) is developed in the present paper. The MEM approach yields an angular spreading function at each frequency band consistent with the input cross-spectral density matrix. The method is evaluated using numerical simulations of directional sea states. The MEM is also used to analyze data obtained from the three-dimensional wave basin of the Hydraulics Laboratory, National Research Council of Canada. Finally, the MEM is compared with the Maximum Likelihood Method (MLM) and is shown to be a powerful tool for directional wave analysis.  相似文献   
4.
The characteristics of directional spread parameters at intermediate water depth are investigated based on a cosine power ‘2s' directional spreading model. This is based on wave measurements carried out using a Datawell directional waverider buoy in 23 m water depth. An empirical equation for the frequency dependent directional spreading parameter is presented. Directional spreading function estimated based on the Maximum Entropy Method is compared with those obtained using a cosine power ‘2s' parameter model. A set of empirical equations relating the directional spreading parameter corresponding to the peak of wave spectrum to other wave parameters like significant wave height and period are obtained. It shows that the wave directional spreading at peak wave frequency can be related to the non-linearity parameter, which allows estimation of directional spreading without reference to wind information.  相似文献   
5.
The directionality of waves inside a groin field near the German coastal zone of the island of Norderney is studied in the frequency domain. The maximum entropy method is adopted to estimate the directional spreading function. The various characteristics of the directional distribution of waves have been presented for the locations both inside and outside the groin field. The variation of directional spreading with depth and the importance of study of directional waves in coastal regions are discussed.  相似文献   
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