西北冰洋陆坡区极北哲水蚤种群快速补充研究

在北冰洋的高纬度海区,陆坡—海盆之间的交换对极北哲水蚤（Calanus hyperboreus）的种群补充具有非常重要的意义。为了研究极北哲水蚤在西北冰洋种群补充的地理差异,我们利用2003年夏季所采集的样品,分析了该物种的丰度、种群结构和体长分布。从总丰度的地理分布来看,极北哲水蚤主要分布在楚科奇海与楚科奇深海平原之间的陆坡区（CS-slope）,而在水深较浅的楚科奇海并没有记录。在CS-slope区域,极北哲水蚤的总丰度在1 110.0—5 815.0个/m³之间,而其他海区的总丰度在40.0—950.0个/m³之间。从不同的发育期分布上来看,早期幼体（CI-CIV）在CS-slope区域占优势,而CV期幼体和成体在深水海盆区占优势。从体长的地理分布上来看,差异最为明显的是CⅢ期幼体,其在CS-slope区域的前体长在2.48—2.61 mm之间,而在其他海区的前体长在2.16—2.37 mm之间。与环境因子相关性的分析结果显示,早期幼体（CI-CIV）的丰度与叶绿素a的浓度呈正相关关系,而CV期幼体和成体却与叶绿素a的浓度呈负相关关系。我们的结果表明,极北哲水蚤可以通过加快第一个生长季节的发育速度而受益于初级生产力的增加,并且高生产力的CS-slope区域是陆坡-海盆之间种群补充的潜在来源。     

辽东湾西海岸潮间带大型底栖动物群落生态位特征

基于2014年9月和2015年4月辽东湾西海岸潮间带10个断面3个潮区的调查数据,对12个优势种的生活型、生态位宽度和生态位重叠度进行了分析,结果表明:12个优势种分别隶属于3门4纲12科;面上生活类群和面下生活类群的比值GS/GSB表现为春季秋季;秀丽织纹螺、日本大眼蟹和丽核螺的生态位宽度较宽(2.171、2.170和2.169),猫爪牡蛎和短角双眼钩虾的生态位宽度较窄(0.637和0.173);生态位重叠较为显著的种类有四组,均是生态位宽度较宽的物种。以上结果也从一个侧面反映了底栖生物对季节和生境的适应情况,由于季节变化和生境不同,使物种生态位宽度值发生了变化,从而影响物种之间的生态位重叠值。     

海水环境下钢筋混凝土人工鱼礁的耐久性寿命预测

根据人工模拟的流动海水环境(流速约为0.15m/s)下的混凝土侵蚀试验测得的混凝土中氯离子质量分数,分别测定了腐蚀350,380,400d后混凝土的氯离子扩散系数,并计算和预测了混凝土人工鱼礁的耐久性寿命。研究结果表明:氯离子在混凝土人工鱼礁中的扩散规律基本上遵循Fick第二定律;钢筋混凝土人工鱼礁的耐久性寿命与保护层厚度的平方成正比;海水盐度对混凝土人工鱼礁的耐久性寿命影响较大。     

Prediction of extreme wave heights using neuro wavelet technique

Precise prediction of extreme wave heights is still an evading problem whether it is done using physics based modeling or by extensively used data driven technique of Artificial Neural Network (ANN). In the present paper, Neuro Wavelet Technique (NWT) is used specifically to explore the possibility of prediction of extreme events for five major hurricanes Katrina 2005, Dean 2007, Gustav 2008, Ike 2008, Irene 2011 at four locations (NDBC wave buoys stations)¹ namely; 42040, 42039, 41004, 41041 in the Gulf of Mexico. Neuro Wavelet Technique is employed by combining Discrete Wavelet Transform and Artificial Neural Networks. Discrete wavelet transform analyzes frequency of signal with respect to time at different scales. It decomposes time series into low (approximate) and high (detail) frequency components. The decomposition of approximate components (extreme events in the ocean wave series) can be carried out up to the desired multiple levels in order to provide relatively smooth varying amplitude series. This feature of wavelet transforms make it plausible for predicting extreme events with a better accuracy. In the present study third, fifth and seventh level of decompositions are used which facilitates 3 to 7 times filtering of low frequency events and seems to pay the dividend in the form of better prediction accuracy at extreme events. To develop these Neuro wavelet models to forecast the waves with lead times of 12 hr to 36 hr in advance, previously measured significant wave heights at same locations were used. The results were judged by wave plots, scatter plots and other error measures. From the results it can be concluded that the Neuro Wavelet Technique can be employed to solve the ever eluding problem of accurate forecasting of the extreme events.     

Low-cycle fatigue crack initiation life of hull-notched plate considering short crack effect and accumulative plastic damage

When studying the low-cycle fatigue crack initiation life of notched plates, the effects of fatigue short crack and accumulative plastic damage in the vicinity of the notch should be considered. The low-cycle fatigue crack initiation life of notched plates has been revised in the analysis process by considering the short crack initiation and expansion of notch stress concentration area. By determining the accumulative plastic deformation in the vicinity of a notch under low-cycle fatigue loads, a predictive model of low-cycle fatigue crack initiation life was presented for notched plates, and the relative influence factors were quantitatively analyzed. A comparison study verified that the results obtained from the presented calculation model correlate quite well with those from the existing experiments. Some important conclusions were drawn from the study on considering the effects of short crack and accumulative plastic damage. The presented method may be used for predicting the low-cycle fatigue crack initiation life of ship plate.     

海水甲壳类寄生性甲藻Hematodinium spp.研究进展

寄生性甲藻Hematodinium是一类危害海水甲壳类的致病性寄生性甲藻,在世界范围内严重威胁了多种重要经济甲壳类的渔业生产。近年来,Hematodinium先后在我国浙江、广东沿海的锯缘青蟹、三疣梭子蟹、脊尾白对虾等重要养殖甲壳类中报道发现, 并已确定该寄生甲藻是近年来引起当地养殖青蟹“黄水病”、三疣梭子蟹“牛奶病”和脊尾白对虾大规模死亡的主要病原之一。本文结合作者近年来Hematodinium的研究成果,系统综述了国内外该寄生性甲藻的研究进展,包括其系统分类、生活史、传播途径、发生机制等;并针对目前该寄生性甲藻研究中存在的关键问题,结合我国相关研究的现状做出了分析和展望,以期为我国海水甲壳类寄生性甲藻发生的预防与控制提供理论依据和技术支持。     

Artificial surf reefs: A preliminary assessment of the potential to enhance a coastal economy

Artificial surfing reefs (ASRs) are a new breed of coastal engineering structures claimed to enhance local biodiversity, provide coastal protection and improve wave quality for surfing. By providing multiple functions ASRs are often expected to contribute positively to the local economy, especially through tourism related to surfing and other water sports or beach uses. However, there is a lack of independent studies to support this expectation. This study investigates the claims that an ASR will enhance a coastal economy through tourism. Using Boscombe ASR, UK as a case study a preliminary evaluation of visitor expenditure is conducted. Using targeted face-to-face questionnaires we gathered data from 523 seafront visitors over a 32 month period. Results show that the ASR initially acted as a tourist attraction after which the novelty wore off. However, the positive impacts of the seafront regeneration scheme on the local economy are longer lasting. Contrary to the original claims that the Boscombe ASR would attract an affluent surf market, surfers and water users interviewed in this study are low spenders and rarely stayed overnight in Boscombe. Although it has been demonstrated that the expenditure of surfers is not as high as expected, more affluent non-surfer visitors have been attracted by the marketing associated with the new surfing resort. The results of this study have led to the following recommendations with respect to the establishment of artificial surf reefs: a period of stakeholder consultation with surf community and local community is required to determine whether an ASR is desirable; robust impact assessments of the reef must be carried out by independent parties before a marine licence is granted; expectations of the community must be managed through honest marketing and careful media coverage; planning must include a contingency for the cost of maintenance, repair and even removal if the structure fails to deliver; and further research is required to determine the full social and economic potential of artificial surf reefs.     

Near-shore swell estimation from a global wind-wave model: Spectral process,linear, and artificial neural network models

Estimation of swell conditions in coastal regions is important for a variety of public, government, and research applications. Driving a model of the near-shore wave transformation from an offshore global swell model such as NOAA WaveWatch3 is an economical means to arrive at swell size estimates at particular locations of interest. Recently, some work (e.g. Browne et al. [Browne, M., Strauss, D., Castelle, B., Blumenstein, M., Tomlinson, R., 2006. Local swell estimation and prediction from a global wind-wave model. IEEE Geoscience and Remote Sensing Letters 3 (4), 462–466.]) has examined an artificial neural network (ANN) based, empirical approach to wave estimation. Here, we provide a comprehensive evaluation of two data driven approaches to estimating waves near-shore (linear and ANN), and also contrast these with a more traditional spectral wave simulation model (SWAN). Performance was assessed on data gathered from a total of 17 near-shore locations, with heterogenous geography and bathymetry, around the continent of Australia over a 7 month period. It was found that the ANNs out-performed SWAN and the non-linear architecture consistently out-performed the linear method. Variability in performance and differential performance with regard to geographical location could largely be explained in terms of the underlying complexity of the local wave transformation.     

随机载荷作用下平台结构疲劳寿命预测

海洋等工程结构物在服役过程中的受载历程是一个随机过程。研究裂纹在谱载荷作用下的扩展规律对可靠预报平台等结构物的疲劳寿命具有十分重要的意义。提出了一个由应力比和裂纹尖端约束及塑性区尺寸为主要参数计算裂纹张开比,来考查载荷相互作用下疲劳裂纹扩展寿命的计算模型。用该模型对几种谱载荷作用下疲劳实验结果进行了预测,将预测结果与不考虑裂纹闭合的线性损伤模型及疲劳计算程序FASTRAN的预测结果进行了比较,表明本模型能较好地预测谱载荷作用下的疲劳裂纹扩展。