Study of tide prediction method influenced by nonperiodic factors based on support vector machines

Harmonic analysis, the traditional tidal forecasting method, cannot take into account the impact of noncyclical factors, and is also based on the BP neural network tidal prediction model which is easily limited by the amount of data. According to the movement of celestial bodies, and considering the insufficient tidal characteristics of historical data which are impacted by the nonperiodic weather, a tidal prediction method is designed based on support vector machine (SVM) to carry out the simulation experiment by using tidal data from Xiamen Tide Gauge, Luchaogang Tide Gauge and Weifang Tide Gauge individually. And the results show that the model satisfactorily carries out the tide prediction which is influenced by noncyclical factors. At the same time, it also proves that the proposed prediction method, which when compared with harmonic analysis method and the BP neural network method, has faster modeling speed, higher prediction precision and stronger generalization ability.     

深圳湾福田红树林区藻类、纤毛虫等生物群落及其与环境的关系

对福田国家级红树林自然保护区近岸水域进行水质及生态调查,结果显示,深圳湾潮汐对红树林中微型生物生态及湿地污染状况产生了最为直接的影响;藻类在红树林中具有较好的水质污染指示作用,其生态功能大于纤毛虫、轮虫等微型生态类群;微型生物可通过食物链对污染物起放大和传递作用,传递途径在水体中以藻→纤毛虫为主,底质中以藻→底栖动物幼虫为主。     

Statistical analysis and forecasts of long-term sandbank evolution at Great Yarmouth, UK

A data-driven model has been developed to analyse the long-term evolution of a sandbank system and to make ensemble predictions in a period of 8 years. The method uses a combination of empirical orthogonal function (EOF) analysis, (to define spatial and temporal patterns of variability), jack-knife resampling, (to generate an ensemble of EOFs), a causal auto-regression technique, (to extrapolate the temporal eigenfunctions), and straightforward statistical analysis of the resulting ensemble of predictions to determine a ‘forecast’ and associated uncertainty. The methodology has been applied to a very demanding site which includes a curved shoreline and a group of mobile nearshore sandbanks. The site is on the eastern coast of the UK and includes the Great Yarmouth sandbanks and neighbouring shoreline. A sequence of 33 high quality historical survey charts reaching back to 1848 have been used to analyse the patterns and to predict morphological evolution of the sandbank system. The forecasts demonstrate an improved skill relative to an assumption of persistence, but suffer in locations where there are propagating features in the morphology that are not well-described by EOFs.     

mKdV-sine-Gordon方程丰富的相互作用解

基于mKdV-sine-Gordon方程的Wronsk解的形式和结构,提出了Wronsk形式展开法,通过这一方法求得了该方程的丰富的相互作用解,该方法的主要特征是不要求Wronsk行列式元素满足线性偏微分方程组。     

海草床鱼类群落结构的时空变化及其在热带海草床中的育幼

本文以印尼北苏拉威西东部的潟湖为对象,研究了热带海草床鱼类群落的种类组成和时空变化。研究发现当地鱼类的香农-威纳指数在1.57-3.69之间多样性相对较高。在科水平,天竺鲷科的丰度（8.27 ind./（100 m²））和生物量（28.49 g/（100 m²））最高。在物种水平,侧带天竺鲷（Apogon lateralis）的丰度最高,环纹圆天竺鲷（Sphaeramia orbicularis）的生物量最大。对于物种的空间变化,潟湖湖顶、湖中和湖口首先聚类在一起,这可能是由于基质类型引起的。干季和湿季的鱼类种类、丰度和生物量均比转换季高,这可能是由较强的季风造成的,强季风为鱼类提供了更适宜的环境和食物。93.1%的鱼类的最大体长小于它们的性成熟体长,暗示了海草床是很多鱼类的育幼场。因此,保护海草床对渔业和资源的可持续利用至关重要。     

基于多格网算法的卫星图像恢复

将求解二次椭圆偏微分方程问题的多格网算法应用到卫星影像的恢复中。其基本思想是在将由总变分求极小生成的偏微分方程离散成为差分方程的过程中,采用不同大小的格网。在取得较好恢复结果的同时,提高了传统图像恢复算法的运算效率,降低了恢复运算所需要的时间。     

分层水体对表层辐照度比影响的蒙特卡罗分析

众多海洋观测数据表明,在真光层深度范围内,海水固有光学特性和光学有效组分的剖面分层分布是广泛存在的,而很多遥感反演模型的建立基于均一分布假设,尤其是在经验模型的建立中,往往只利用某一深度或各深度平均的光学有效组分浓度与水体光谱的统计关系。文章通过模拟平静水面水下光的辐射传输,分别研究了叶绿素、无机悬浮物浓度垂直分布结构对水下辐照度比的影响,并对比了两类分层水体权重函数等效浓度计算式及相应水下辐照度比,结果表明,对于分层水体,透射深度和层化强度是影响等效浓度值计算误差的主要因素,透射越深,表层层化越强,水体层化对水下辐照度比的影响就越大,但其计算误差也越大。Gondon等效浓度计算结果比较接近实际值,而Zaneveld计算式则高估了分层水体的等效浓度值。     

太阳静日变化的特征分析

根据北京明陵地磁台2010年观测数据,采用磁静日数据,选用其特征值——日变幅度和相位,对太阳静日变化特征进行了初步分析,并用调和分析方法将其分解为3个周期的谐波分量。对地磁数据的分析处理具有一定的参考价值。     

江苏海岸中部近岸冬季潮汐和潮流特征

南黄海西侧的江苏海岸近岸区域,素以地形复杂、潮流强劲、悬沙输运剧烈著称,但是较长期的同步潮位和潮流观测数据仍然缺乏,尤其是在近岸(20 km)浅水(20 m)区域。2014年1月在大丰港附近开展了连续潮位和潮流观测,获得的数据揭示了一系列特征。此地潮汐潮流为正规半日潮,浅水分潮显著。平均潮差为3.05 m,最显著的两个分潮为M2和S2分潮,振幅分别为1.45 m和0.52 m。潮流最显著的半日分潮M2分潮和最显著的浅水分潮M4分潮在沿岸方向上振幅分别为0.84m/s和0.12m/s,在跨岸方向上振幅分别为0.24 m/s和0.01 m/s,沿岸方向占绝对优势。潮波的沿岸传播介于前进波和驻波之间,驻波的特征稍强。M2分潮潮流椭圆最大流(长轴)方向为南偏东7.4°。存在冬季沿岸向北的余流,垂向平均值的大小为2.2 cm/s。以上潮汐潮流特征为该区域海洋物质输运研究提供了基础资料。     

Improving the prediction of extreme FPSO hawser tension,using another highly correlated hawser tension with a longer time record

The floating production storage and offloading unit (FPSO) is an offshore vessel that produces and stores crude oil prior to tanker transport. Robust prediction of extreme hawser tensions during the FPSO offloading operation is an important safety concern. Excessive hawser tension may occur during certain sea conditions, posing an operational risk. In this paper, the finite element method (FEM) software ANSYS AQWA has been employed to analyze vessel response due to hydrodynamic wave loads, acting on a specific FPSO vessel under actual sea conditions.In some practical situations, it would be useful to improve the accuracy of some statistical predictions based on a certain stochastic random process, given another synchronous highly correlated stochastic process that has been measured for a longer time, than the process of interest. In this paper, the issue of improving extreme value prediction has been addressed. In other words, an efficient transfer of information is necessary between two synchronous, highly correlated stochastic processes. Two such highly correlated FPSO hawser tension processes were simulated in order to test the efficiency of the proposed technique.