无标度网络上队列资源分配研究

研究了节点队列资源有限的条件下,无标度网络上的信息流动力学过程,发现了网络由自由流通到拥塞的相变现象,提出了一种基于节点度的队列资源分配模型.模型的核心是使节点i的队列长度与k^β_i成正比(k_i为节点i的度,β为分配参数).仿真结果表明,在网络使用最短路径算法进行信息包传送的条件下,β近似等于1.25时队列资源分配最合理,网络容量最大,且该最佳值与队列总资源多少以及网络的规模无关.     

Inhibitory effects of chloride ions on concrete sulfate attack in the marine adsorption environment

To study the inhibitory effects of chloride ions on concrete sulfate attack in the marine adsorption environment, a series of cubic concrete specimens was fabricated. These specimens were totally submerged or partially submerged in 10% Na₂SO₄ solutions with 0, 0.5, 2, and 5% NaCl concentration. Three specific aspects, namely, superficial phenomenon, compressive strength degradation, and X-ray fluorescence spectrometry analysis, were studied during 450 days of long-term exposure. Results showed that Na₂SO₄ solution had a strong corrosive effect on concrete in both the adsorption and submersion zones, especially in the adsorption zone. Chloride ions exerted inhibitory effects on concrete sulfate attack in both the submersion and adsorption zones, and higher concentration of chloride ions will produce stronger inhibitory effects. However, given the different inhibitory effects of chloride ions on concrete sulfate attack with different corrosion mechanisms, the inhibitory effect of the same chloride concentration on concrete sulfate attack was a little lower in the adsorption zone than in the submersion zone.     

Thermal and saline tolerance of Antarctic krill Euphausia superba under controlled in-situ aquarium conditions

As a key species of the Southern Ocean ecosystem,the thermal and saline tolerances of Antarctic krill(Euphausia superb a Dana)are relatively unknown because of the challenging environment and complicated situations needed for observation have inhibited in-situ experiments in the field.Hence,the thermal and saline tolerance of krill were examined under in-situ aquarium conditions with different controlled scenarios.According to the experiments,the critical lethal times of krill were 24h,2h and 0.5h under 9℃,12℃,and 15℃,respectively,and the estimated 50%lethal times were about 17.1 h and 1.7 h under 12℃and 15℃,respectively.Additionally,the critical lethal times(the estimated 50%lethal times)of krill were approximately 14h and 0.5h(about 22.9 h and 1.7 h)of salinity under 19.7 and 15.9,respectively.The observed critical and 50%lethal times of krill were 0.5 h and approximately 1.4 h,respectively,salinity under 55.2.The critical and 50%lethal temperatures of krill were 13℃and approximately 14.2℃,respectively.Additionally,the critical and 50%lethal salinity was 19.6 and approximately 17.5 for the lower saline(below normal oceanic salinity[34.4])environment and 50.3 and approximately 53.2 for the higher saline(above 34.4)environment,respectively.The upper thermal and saline preferences of krill can be considered 6℃and 26.8 to 41.2,respectively.These results can provide potential scenarios for predicting the possible fate of this key species in the Southern Ocean.     

墨西哥湾扇贝稚贝对盐度的耐受力

用壳高15～21mm的墨西哥湾扇贝(Argopecten irradians concentricus)稚贝作为实验材料,控制水温在16和24℃条件下进行对盐度的耐受力实验.实验结果表明,当温度在24℃时,稚贝存活的盐度范围为18.5～44.4,低盐度对稚贝的存活影响明显.稚贝可生长的盐度范围是21.2～41.0(日增长率r>4.0),适宜的生长盐度为24.0～32.0(日增长率r>8.0),其中26.0～28.0的盐度为最佳生长盐度.在16℃条件下,最初8h内,其生存盐度范围为17.4～46.4,但是48h后稚贝的存活盐度范围与24℃温度条件时无明显差别,显示出低温条件会使稚贝对极限盐度的反应速率减缓.当盐度处于接近极限范围时,盐度变化幅度过大易导致稚贝死亡.墨西哥湾扇贝对盐度的适应能力与原生境盐度有关,稚贝预先在盐度为19.5和44.9中适应9d后,再过度到14.3和48.5中,48h后,存活率为78.3%和100%,而若是从盐度为32中直接移到3和48.5中,48h后存活率分别为0和27.3%.显然,通过中间驯化或适应过程,稚贝会提高耐盐能力.此结果表明,在高温多雨的南方海域,应避免在易受淡水中冲击的河口、海湾区域开展墨西哥湾扇贝养殖.     

基于BP神经网络的高频地波雷达海流空间插值

高频地波雷达是海洋环境监测的重要手段,当前已经实现对海流的业务化观测,但是外部因素常引起海流空间探测的不连续性。为解决此问题,尽量保障区域数据的完整性和准确性,本文将BP神经网络技术与空间插值相结合,建立了海流的BP神经网络插值模型,并进行了针对实测数据的缺失插值仿真,通过与反距离权重法和线性插值法插值结果的对比,分析该模型在区域海流大面积缺失、流速整体较大和流速整体较小3个方面的性能。结果表明,BP神经网络插值模型的海流预测效果明显优于其他两种方法,且在流场数据大范围缺失下也取得了良好的效果。     

The photokinetics of thermo‐tolerance in Symbiodinium

There is currently much debate about the ecological advantages for reef corals of hosting multiple types of the symbiotic dinoflagellate Symbiodinium. Amongst these is their apparent capacity to tolerate higher than normal water temperatures. There is strong photokinetic evidence that the trait of heat‐tolerance in plants is accompanied by energetic tradeoffs but little such evidence yet exists for corals. We use rapid light curves (RLCs) to investigate the photokinetic basis for thermo‐tolerance in the reef coral Acropora millepora with symbionts of contrasting thermal tolerance for which there are measured differences in energetics. Our results show that under non‐stressful temperatures, corals with heat‐tolerant type D Symbiodinium had a 41% lower maximum relative electron transport rate (rETRmax) and lower light absorption efficiency (α) due to lower cell Chl a content compared with corals with heat‐sensitive type C2 symbionts. Our results provide support for a photokinetic link between heat tolerance and deficits in holobiont (coral + symbiont) growth, lipid stores and reproduction. Reduced electron transport rate and light absorption capacity may be genotype‐specific attributes that enable clade D symbionts and their cnidarian hosts to cope with temperature stress but they inherently influence the photosynthetic function of the symbionts and thus have negative downstream effects on the coral.     

Geometry of scour hole around, and the influence of the angle of attack on the burial of finite cylinders under combined flows

Experiments were conducted to investigate the geometry of the scour hole and flow structure around short cylinders under the action of waves alone (WA) and combined flows (CF). The study is aimed at better understanding the dynamics of isolated objects on a sandy floor under oscillatory flows as occurs in shallow water regions in coastal areas. Flow velocities within the fluid core were recorded and 3D mapping of the bottom was performed with sub-aquatic acoustic sensors. Experiments were conducted for cylinder Reynolds wave number and Keulegan-Carpenter number within the ranges 10⁴R_e1.7×10⁵ and 2KC71, respectively. The present experimental evidence shows that the geometric characteristics of the scour hole (length and width) depend primarily on the Keulegan-Carpenter number (KC) and the cylinder aspect ratio (a_r=L_c/D). The effect of variation in the angle of attack of the flow with respect to the cylinder main axis was also investigated. Initial orientations of zero and ninety degrees were found to be stable while cylinders with intermediate initial orientations tended to orientate their main axes perpendicular to the flow direction. The final angle of orientation was found to be primarily a function of the Shields parameter, θ, and the initial angle of attack, α_i.     

沉积物粒度组分空间预测的神经网络残余kriging方法

针对近海表层沉积物粒度组分空间变异的尺度差异性,提出了基于广义回归神经网络残余kriging的沉积物粒度组分空间预测方法,并以海州湾沉积物粒度数据为基础,分析了其在沉积物粒度组分空间预测和底质类型制图中的应用效果。结果表明,广义回归神经网络残余kriging方法能够获得比普通kriging方法更高的沉积物粒度组分空间预测精度,并且其底质类型的总体空间预测精度达到85%以上,相应的Kappa系数也在0.8以上,显示底质制图的预测类型与样本的实测类型具有较高的一致性。新方法对于开展定量化的沉积物粒度组分空间预测和底质类型制图具有参考价值。     

天津厚蟹对盐度和温度的耐受性

研究了天津厚蟹Helice tientsinensis对盐度和温度的耐受性。天津厚蟹对盐度的耐受能力极强,在温度9～34℃盐度为0的淡水介质中均能存活96 h以上;在10℃、20℃及30℃的高渗介质中暴露96 h后,天津厚蟹全部存活的盐度分别是65、56和50,全部死亡的盐度分别为83、74和68。天津厚蟹对低温的耐受力较强,在0、30和50盐度水平下,耐受低温的能力差别较大,能耐受96 h的最低温度分别是9℃、2℃和6℃。天津厚蟹对高温也有较强的耐受能力,在0、30和50盐度水平下,分别在34℃、36℃和35℃下能耐受96 h;盐度50温度38℃时,在开始的24 h内无死亡,但48 h后死亡率急剧上升,同样规律也出现在30和0溶液中,前者温度是39℃,后者为35℃。研究结果还表明盐度和温度的交互效应显著,二者的交互作用对天津厚蟹的存活亦有显著性影响(P<0.05),温度升高(从10℃到20℃再到30℃)致使其耐盐能力显著下降,而盐度的剧烈变化(从30到50或从30到0)也致使其耐温能力显著下降。     

Impedance analysis of hydrodynamic behaviors for a perforated-wall caisson breakwater under regular wave orthogonal attack

An impedance analytical method (IAM) is developed to study the interaction between regular waves and a perforated-wall caisson breakwater that consists of a front perforated-wall and a chamber with a rigid impermeable back wall. The boundary conditions at the perforated-wall are established in terms of the flow resistances of the fluid passing through the holes. As a result, explicit algebraic expressions are obtained for reflection coefficients and wave loads. In the formulae, all of the parameters are known a priori. The predicted reflection coefficients and the wave forces are compared with the experimental data of other authors.     

Fishery management as a governance network: Examples from the Gulf of Maine and the potential for communication network analysis research in fisheries

It has been suggested that the fisheries management process with multiple, informed stakeholders and socio-economic, political, and scientific complexity can be considered a governance network. This exploratory study applied communication network analysis (CNA) measures and methods to assess two cases of US federal fishery management in the Northwest Atlantic—Atlantic herring and sea scallop. Through questionnaires and interviews, CNA maps were constructed and quantitative measures of network structure and function (density, weighted average path length) and centrality measures for individual network members (degree, betweenness) were derived using InFlow software. The results show that fishery governance networks are horizontally and vertically integrated across levels of government and public–private–nonprofit sectors. The findings validated existing understanding of fisheries management as a contested, competitive management context among stakeholders, and provided new insights about the effectiveness of information sharing across the network and the critical role of bridgers connecting disparate subgroups. Fisheries management can be conceptualized and analyzed as governance networks, and the paper discusses additional research questions, refinements needed for application of the research methods, and ramifications for managers (e.g., can resource managers manage networks).     

海洋细菌Bacillus sp. Cs-700耐受及移除铯能力研究

为了筛选可以耐受高浓度铯离子(Cs⁺)的海洋细菌并探究细菌耐受Cs⁺的机制,本研究从广西近海沉积物样品中筛选出一株能够耐受700 mmol/dm³ Cs⁺的海洋细菌,是目前已报道的可耐受最高浓度Cs⁺的细菌。通过形态学分析、16S rRNA序列分析及生理生化特性的测定,确定该菌属于芽孢杆菌属(Bacillus),故将该菌株命名为Bacillus sp.Cs-700。在添加有700 mmol/dm³氯化铯的培养基中,菌体对铯的移除率最高可达52.06%。研究结果表明Bacillus sp.Cs-700不但具有耐受高浓度Cs⁺的特性,还具有较好的铯移除能力,具有修复放射性铯污染环境的潜力。本研究可为探索海洋放射性铯的生态修复提供参考。     

Contribution of trimethylamine N-oxide on the growth and pressure tolerance of deep-sea bacteria

Trimethylamine N-oxide(TMAO) is widely dispersed in marine environments and plays an important role in the biogeochemical cycle of nitrogen. Diverse marine bacteria utilize TMAO as carbon and nitrogen sources or as electron acceptor in anaerobic respiration. Alteration of respiratory component according to the pressure is a common trait of deep-sea bacteria. Deep-sea bacteria from dif ferent genera harbor high hydrostatic pressure(HHP) inducible TMAO reductases that are assumed to be constitutively expressed in the deep-sea piezosphere and facilitating quick reaction to TMAO released from ?sh which is a potential nutrient for bacterial growth. However, whether deep-sea bacteria universally employ this strategy remains unknown. In this study, 237 bacterial strains affliated to 23 genera of Proteobacteria,Bacteroidetes, Firmicutes and Actinobacteria were isolated from seawater, sediment or amphipods collected at dif ferent depths. The pressure tolerance and the utilization of TMAO were examined in 74 strains. The results demonstrated no apparent correlation between the depth where the bacteria inhabit and their pressure tolerance, regarding to our samples. Several deep-sea strains from the genera of Alteromonas, Halomonas,Marinobacter, Photobacterium, and Vibrio showed capacity of TMAO utilization, but none of the isolated Acinebacter, Bacillus, Brevundimonas, Muricauda, Novosphingobium, Rheinheimera, Sphingobium and Stenotrophomonas did, indicating the utilization of TMAO is a species-speci?c feature. Furthermore, we noticed that the ability of TMAO utilization varied among strains of the same species. TMAO has greater impact on the growth of deep-sea isolates of Vibrio neocaledonicus than shallow-water isolates. Taken together, the results describe for the ?rst time the TMAO utilization in deep-sea bacterial strains, and expand our understanding of the physiological characteristic of marine bacteria.     

Neural network prediction of a storm surge

The occurrence of storm surge does not only destroy the resident's lives, but also cause the severe flooding in coastal areas. Therefore, accurate prediction of storm surge is an important task during the coming typhoon. Conventional numerical methods and experienced methods for storm surge prediction have been developed in the past, but it is still a complex ocean engineering problem which many factors, including the central pressure of typhoon, the speed of the typhoon, the heavy rainfall, coastal topography and local features influence the variation of storm surge. In fact, this problem is still a complex nonlinear relationship that can not solved efficiently by these two methods. Therefore, this paper presents an application of the neural network for forecasting the storm surge. The original data of Jiangjyun station in Taiwan will be used to test the performance of the present model. The results indicate that the neural network can be efficiently forecasted storm surge using the four input factors, including the wind velocity, wind direction, pressure and harmonic analysis tidal level.     

凡纳滨对虾家系淡水耐受性状与生长性状的关系

本研究对亲本来自不同遗传背景的10个凡纳滨对虾家系进行了淡水应激试验和淡化培育试验,分别测定了其淡水应激存活率和淡化培育过程中的各项生长性状指标,并研究了凡纳滨对虾家系淡水耐受性与其淡化培育过程中生长性状的关系。结果显示:1)10个凡纳滨对虾家系淡水应激存活率存在极显著差异(p0.01),由高到低为TF-1(68%)DG-1(58%)HX-2(56%)SD-1(50.5%)TF-2(38%)=DG-2(38%)DF-1(35%)SD-2(34%)DF-2(33%)HX-1(27%);2)淡化培育过程中,10个凡纳滨对虾家系之间的淡化培育存活率由高到低为TF-1(51%)SD-1(44%)DG-1(40%)TF-2(36%)HX-2(29%)SD-2(25%)DG-2(20%)DF-2(17%)DF-1(16%)HX-1(13%),存在极显著差异(p0.01),体重增长率、特定生长率和体长增长率10个家系之间存在显著性差异(p0.05),而且不同家系的饵料系数之间也存在显著性差异(p0.05);3)获得的家系TF-1的淡水应激存活率(68%)、淡化培育存活率(51%)、体重增长率(17.54mg·d–1)、特定生长率(6.68)和体长增长率(0.53mm·d–1)都高于其他家系,饵料系数(0.82)与其他家系相比则最低;4)淡水应激存活率与淡化培育存活率及体长增长率存在极显著的相关性(r0.8,p0.01),与平均增重率、特定生长率、饵料系数存在一定的相关性(0.5|r|0.8,p0.05)。研究表明:凡纳滨对虾仔虾的淡水应激存活率反映了虾苗的耐淡能力,可作为选择淡化培育用虾苗的一个重要指标;家系TF-1为进一步选育出耐淡能力更强和生长更快的新品系提供了基础。     

RBF网络和BP网络在海水盐度建模中的比较研究

介绍了RBF神经网络模型结构、特点及原理,并针对海水盐度参数具有受诸多因素影响的复杂的非线性输入输出特性,训练并建立了海水盐度的RBF(Radial Basis Function)神经网络模型,为海水盐度的预测提供了一种新的方法.与BP神经网络模型相比.该模型具有收敛速度快,精度高的优点.比较结果表明,该方法在海水盐度...     

基于多层复杂网络理论的海洋货运网络的抗毁性研究

运用复杂网络理论的分析方法,在世界海运船期数据的基础上,构建海洋货运网络。通过拓扑结构分析,描述了网络的空间格局,并采用k-core算法对网络进行分层,提出使用最大连通规模的相对大小及网络效率的相对大小衡量该类网络抗毁性,并提出以整体网络及分层后的多层网络进行随机攻击的方式,分析该网络的抗毁性,结果表明:海洋货运网络具有小世界效应,网络密集且度分布近似幂律分布,符合复杂网络的基本特征。网络对于随机出现的各类海洋灾害所造成的网络损毁具有很强的抗毁性,网络中节点损毁数量为影响网络规模及效率的主要因素,一般性攻击对于网络造成的影响集中于网络效率的下降,关键性节点损毁对于网络整体的运输情况影响不明显。     

基于权重调整的BP神经网络在Nino区海温预报中的应用

传统BP神经网络在训练完之后,其权重是固定不变的,加上神经网络的样本的标准化处理,将使得网络不易描绘样本峰值.因此,本文考虑变权的方法,以调节训练后的BP网络权重,基于变权次数,建立不同网络模型,并利用不同网络输出值与相应实测值进行比较.结果表明:变权BP网络预报效果有较大提升,同时,降低了对因子相关性的要求.     

Prediction of visibility in the Arctic based on dynamic Bayesian network analysis

With the accelerated warming of the world, the safety and use of Arctic passages is receiving more attention.Predicting visibility in the Arctic has been a hot topic in recent years because of navigation risks and opening of ice-free northern passages. Numerical weather prediction and statistical prediction are two methods for predicting visibility. As microphysical parameterization schemes for visibility are so sophisticated, visibility prediction using numerical weather prediction models inclu...     

基于BP网络对模拟声呐信号分类

针对常规的主动声呐调查设备,在简单海洋分层模型的基础上,模拟了多波束类单频信号、侧扫类单频信号、Ch irp调频信号和混合信号4类声呐接收信号,并针对接收信号特征构造了3层BP网络模型,将隐藏层神经元数目设为可调节;利用时间域脉冲宽度和水深与频率域功率谱密度相结合的特征参量,成功地对模拟信号进行了分类。采用改进的BP网络模型,用训练成功的BP网络对102个检测信号进行了分类测试,结果表明,分类成功率较高,可达76%~84.6%,因而利用BP网络可以对不同类别设备的模拟声呐接收信号进行分类。