台湾海峡风涌浪分离方法研究

受狭管效应的影响，台湾海峡波浪较大且常与涌浪混合存在。涌浪对包括船舶在内的浮式结构物有着重要的影响，而风涌浪分离是研究涌浪特性的必要前提，也一直是研究的热点和困难问题。由于数据的欠缺和观测条件的限制，在风涌浪分离方法中被普遍认可的二维谱方法常常难以使用，如何选择更为精准的一维谱方法往往会成为实际研究和应用过程中必须面对的问题。利用台湾海峡内3个具有二维谱数据的测站，通过将二维谱分离结果作为参考，针对台湾海峡风浪和涌浪的特征，探讨了风涌浪分离一维谱方法在该海域的适用性问题，研究表明风速法相较其他方法精度更好，在这一基础上提出了一种将波谱积分法与风速法相结合的一维谱方法。     

风浪和涌浪分离方法的比较（英文）

海浪通常以风浪和涌浪混合的形式存在,如何进行分离风浪和涌浪一直是海浪理论研究和海洋工程应用中的重要问题。本文利用模型试验和实测资料,对目前提出的一种二维谱风涌浪分离方法（2D法）和三种一维谱风涌浪分离方法（PM法、WH法、JP法）进行了检验,分析发现：2D法给出的结果整体而言最为可靠,与2D法相比,PM法明显高估了风浪成分,WH法低风速时高估了风浪,高风速时跟2D法比较接近,而JP法在整体上高估了风浪成分。通过调整分割频率的比例系数,改进了PM法,改进后的PM法给出的分离结果与2D法最为一致。     

风浪和涌浪分离方法的比较

海浪通常以风浪和涌浪混合的形式存在。文中利用模型试验和实测资料,对目前提出的一种二维谱风涌浪分离方法(2D法)和3种一维谱风涌浪分离方法(PM法、WH法、JP法)进行了检验,分析发现:2D法给出的结果整体而言最为可靠,与2D法相比,PM法明显高估了风浪成分,WH法低风速时高估了风浪,高风速时跟2D法比较接近,而JP法在整体上高估了风浪成分。通过调整分割频率的比例系数,改进了PM法,改进后的PM法给出的分离结果与2D法最为一致。     

西沙、南沙海域波浪及波浪能季节变化特征

采用来自ECMWF将风浪、涌浪分离的近45 a ERA-40海浪再分析资料,对西沙和南沙海域的海面风速、风浪有效波高、涌浪有效波高、浪级频率、波向频率的多年变化特征进行统计研究,重点讨论了西沙和南沙海域风浪能和涌浪能季节变化和稳定性特点.结果表明:南海海域涌浪能明显比风浪能稳定,西沙海域年均能流密度约8.0kW/m,风...     

台风“梅花”风浪场和涌浪场特征分析

基于第三代海浪数值模式WAVEWATCHⅢ(v3.14),在WRF模式提供模式风场驱动下,对1109号台风"梅花"的风浪场、涌浪场和混合浪场进行了数值模拟,并在我国东部沿海选取了3个关注站点,探讨涌浪和风浪波高随时间变化与台风中心位置的关系以及台风影响下海浪二维谱、风浪场和涌浪场分布和变化特征。结果表明,新版的海浪模式能较好表现福建和浙江沿海、长江口附近、山东半岛南端的3个关注区域的台风涌浪先于风浪到达的事实;距台风中心不同距离,混合浪波高的组成和波高变化不同;台风的外围区涌浪场的高值区对应着风浪场的低值区,台风的大风区风浪场的高值区对应着涌浪场的低值区,台风眼区则为涌浪区。涌浪多分布在台风风浪影响范围之外,波向由台风中心向外辐射。     

基于实测数据的台湾海峡中部波浪特征分析 *

利用台湾海峡中部2号大浮标2017年全年的实测波浪资料, 对海浪的基本波要素及其与风的相关性、波谱特性进行统计分析, 得出了重要特征波参数之间的回归关系和适合台湾海峡中部的海浪谱形式。研究结果显示: 1) 台湾海峡中部的常浪向是NE向, 强浪向是NNE向, 月均有效波高的变化范围为0.87~2.98m, 7月波高最小, 12月波高最大, 波周期与波高有着相似的月际变化趋势; 2) 主要波浪类型是以风浪为主的混合浪, 谱型上以单峰为主, 波高与风速整体上呈正相关关系, 大浪主要由台风和强劲的东北季风引起; 3) 波浪的平均周期与大部分特征波周期之间具有良好的线性相关性, NNE、NE方向的波浪有效波高和有效波周期线性相关性较强; 4) 相比于Jonswap谱, 规范谱一是更符合本区域的海浪谱模式, 给出了基于有效波高和谱峰周期拟合的规范谱一形式。这些研究成果可为海洋工程设计和波浪数值模拟提供参考。     

大洋中涌浪对风浪能量的影响

由于涌浪与风浪在特征物理参量及成长、衰亡上的显著不同,区分风涌浪以及研究涌浪对风浪的影响尤为重要。本文使用2013年及2015年大洋中的WaMoSⅡ测波雷达观测数据,研究了涌浪对风浪能量的影响。由于测波雷达仅使用了9s的有效周期作为谱分离判据,其所得风浪有效波高显著高于PM谱充分成长关系给出的波高。因此本文结合2D法与1D法,加入风速、风浪夹角、波龄等要素给出新的判据,重新对风、涌浪进行了分离。通过对比不同的波龄判据,发现当波龄取1.5时,所得结果与PM谱吻合良好。以Toba-3/2定律为基础,研究了不同类型涌浪对风浪能量的影响。发现三种类型涌浪存在时,风浪能量及有效波高整体上都有所增加,其中尤其以反向涌浪存在时增加最多。     

风浪频谱中的特征量

在三参量风浪频谱的基础上对谱参量进行深入地研究,给出了谱参量与风场要素、波场要素的关系,提供了依据风场要素、波场要素及实测波浪资料计算谱参量的方法。从而可以依据上述因素直接计算出三参量风浪频谱。此外还根据谱宽度的变化,描述了风浪频谱的成长方式,解释了传统的波陡、波龄关系中经验常数的不同选取所代表的物理背景。     

永暑海区波浪要素变化特征分析

利用永暑礁测站1988-2009年共22a的波浪实测资料,对永暑海区的波浪要素的基本特征、变化规律、风与浪的相关规律进行分析研究,阐明了海区海浪的特点及其年变化规律。该区是热带季风气候区,海区的波浪主要受季风影响,季风时期的风向、风浪传播方向、涌浪传播方向基本一致。波高以轻浪和中浪为主,小波分析表明波高在6-9月具有3-6年的变化周期。提供了较详实的海浪资料及变化规律。     

莺歌海洋站附近海域波浪特征分析

本文利用莺歌海站多年的波浪实测资料,对其附近海域的波浪要素的基本特征、变化规律、风与浪的相关规律进行分析研究,阐明了海区海浪的特点及变化规律。该海区属热带季风气候区,波浪主要受季风影响,季风时期的风向、风浪传播方向、涌浪传播方向基本一致。通过对观测资料统计分析发现:该海域波浪主要是以风浪为主,常浪向是SE向,次浪向是SSE向,强浪向是SE向,波高以轻浪为主。波型方面,春季和夏季SE向风浪占绝对优势,秋季和冬季NNW向风浪占优势,涌浪频率四季均是S向最大,并结合国内海洋波浪测量技术现状,在仪器装备研发、算法模型及数据处理分析软件升级、站位布局优化、计量标准化研究等方面提出几点建议。     

Modification of SAR spectra associated with surface wind fields in the sea off the Kii Peninsula: A case study

Using surface wave parameters and a high-resolution surface wind field derived from Synthetic Aperture Radar (SAR) image mode data, we have investigated the spatial modification of SAR spectra. We found a surface wind front, formed by sheltering effect of the Kii Mountains, separating high and low wind-speed regions in a sea area of an European Remote-Sensing Satellite (ERS) SAR image off the Kii Peninsula. A swell system propagating westward dominates in the whole sea area covered by the SAR image. The wavelength retrieved from the SAR spectra in the sheltered (non-sheltered) region is longer (shorter). Since the distributions of surface wave parameters and surface wind speed are so well correlated, it can be considered that the SAR spectra are modified differently by the sheltered/non-sheltered surface winds. In order to examine the phenomena observed on the SAR image we have estimated the wind-wave SAR spectrum using the SAR surface winds, a wind-wave spectrum model and a SAR wave imaging model. We assume that the SAR spectrum related to the swell is homogeneous in the area imaged by SAR, and that the SAR spectrum of the wind-wave components causes the observed SAR spectra modification. Differences between the observed SAR spectra and the estimated SAR spectra in the sheltered and non-sheltered regions agree well with each other. In the present case, it can be concluded that the observed SAR spectra can be regarded as a linear combination of the wind-wave SAR spectra and the swell SAR spectra.     

A note on nearshore wave features: Implications for wave generation

This paper analyses 10 years of wave data from the Mediterranean Spanish (Catalan) coast considering the mean wave climate and storm events from the standpoint of wind-wave momentum transfer and wave prediction. The data, registered by a buoy at about 12 km from the coastline, revealed two main groups of wave storms, with NW and E directions. NW storms correspond to a fetch-limited situation since the intense wind blows from land. Low-pressure centres located over the Mediterranean Sea produce easterly storms. Near the coast the eastern winds from the sea are replaced by NW winds coming from meteorological patterns over northern Spain and south-western France. Wave storms are classified and studied to obtain their main features (including spectral width, wave length, wave age and bimodality) and discussed in terms of wind-wave momentum transfer for operational wave predictions. Observations show a complex coastal wave climate. Fetch-limited storms presented smaller spectral widths while varying wind situations presented larger widths due to the presence of bimodal spectra. These wave features are highly relevant for wind–ocean momentum transfer and, thus, for current and wave predictions. The spectral width proved to be a good indicator of sea complexity and is thus applicable for improved wind drag estimations. A new drag coefficient formulation is proposed, based on existing wind dependent drag expressions, but including also spectral wave properties (a spectral width parameter) that highlights the characteristics of wind-wave generation under pre-existing swell. Such a formulation, once properly validated with field observations, is expected to improve wind-wave predictions.     

涌浪对风浪能量影响的实验研究

在实验室风浪水槽中进行纯风浪和混合浪波面位移观测,研究波长较长的规则波对风浪能量的影响.本文用混合浪和纯风浪中的风浪显著波的零阶谱矩之比代表混合浪中的风浪与纯风浪能量之比,并以此表征涌浪对风浪能量的影响.研究了该能量比随涌浪波陡S、风区x、波龄倒数u/C、涌浪频率与纯风浪谱峰频率之比fs/fwp的变化规律.结果表明,涌浪对风浪能量的抑制作用随涌浪波陡的增加、波龄倒数的增大及涌浪频率与纯风浪谱峰频率之比的增大而增强.发现该能量比依赖于无因次量R=(1+80(πS)2)1.9(fs/fwp)0.9(u/C)0.27,并拟合得到2者的经验关系.此外,本文实验还发现,在某些情况下,涌浪的存在使风浪能量增加.     

基于HY-2 卫星观测分析南海风浪关系

海面有效波高(H1/3)是表征海浪的重要参数,随着卫星遥感技术的发展,雷达高度计已成为获取海面有效波高的重要手段,但也只能对卫星星下点轨迹处进行有效观测,远无法满足大范围应用的需求.本研究结合2013年10月HY-2雷达高度计观测的海面有效波高和微波散射计观测的海面风场资料,分别对高、低风速下风浪数据进行拟合,建立了适用于0~40 m/s风速范围内的南海海域风浪关系模型,经模型比对和结果验证,结果表明,基于HY-2卫星数据分析建立的南海海域风浪关系模型是可信的,特别是低风速的风浪模型与实测数据建立的风浪模型具有很好的一致性;根据建立的风浪关系模型,从卫星散射计大面观测的海面风场出发,能推算出风浪条件下海面有效波高的大面信息,数据覆盖远高于卫星高度计的星下点观测,能为分析和预报海浪、风暴潮灾害提供大范围的海面有效波高信息.     

A hybrid model for numerical wave forecasting and its implementation——Ⅱ. The discrete part and implementation of the model

In the first part of the present paper we have explained why we manage to formulate another wave prediction model when so many of them, including the so-called third generation model, have already been in use. The wind-wave part of the proposed model has also been given. Now we proceed to discuss the swell part,the implementation of the model as a prediction method,mumerical experiments done with ideal wind fields and hindcasts made in the Bohai Sea,in the neighboring seas adjacent to China and in the Northwest Pacific.     

Estimation of the contribution of wind variability to the ocean wave-radar modulation transfer function

Variations of the wind-wave interaction coefficient for Bragg ripples have been calculated which allow the radar modulation transfer function (MTF) to be derived in view of the variations of wind flow over the long wave profile. It is shown that the wind component of the MTF is significant only for swell.Translated by Mikhail M. Trufanov.     

Wind-wave variability in a shallow tidal sea—Spectral modelling combined with neural network methods

In this paper the wind-wave variability in the tidal basins of the German Wadden Sea is modelled with combined numerical and neural-network (NN) methods. First, the wave propagation and transformation in the study area are modelled with the state-of-the-art third-generation spectral wave model SWAN. The ability of SWAN to accurately reproduce the phenomena of interest in nonstationary conditions governed by highly variable winds, water levels and currents is shown by comparisons of the modelled and measured mean wave parameters at four stations. The principal component analysis of the SWAN results is then used to reveal the dominating spatial patterns in the data and to reduce their dimensionality, thus enabling an efficient and relatively straightforward NN modelling of mean wave parameters in the whole study area. It is shown that the data produced with the approach developed in this work have statistical properties (discrete probability distributions of the mean wave parameters etc.) very close to the properties of the data obtained with SWAN, thus proving that this approach can be used as a reliable tool for wind wave simulation in coastal areas, complementary to (often computationally demanding) spectral wave models.