Intraspecific morphometric diversity of barramundi (Lates calcariferBloch, 1790) in the waters of southern Bangladesh

A total of 160 barramundi's (Lates calcarifer Bloch, 1790) sampled from four rivers (Tentulia, Balaswar, Bakkhali, and Andarmanik) along the southern coastal region of Bangladesh were investigated in terms of morphometric characters to reveal the intraspecific variation. Twenty-five morphometric measurements were extracted using the conventional method and subjected to multivariate analyses (i.e., principal component analysis (PCA), discriminate function analysis (DFA), cluster analysis (CA)) to distinguish individuals from different rivers. The result demonstrated that twenty-two out of 25 measurements was statistically significant (Univariate ANOVA) among all four populations. PCA analysis of morphometric characters resulted in two principal components, PC I and PCⅡ which accounted for 79.25% and 4.28% of the total data variance. PC I-PC Ⅱ plot explained 83.53% of total variance differentiated the population of L. calcarifer into two groups. Discriminate analysis correctly classified about 88.1% of the examined fish into the four areas. The UPGMA dendrogram showed that Bakkhali populations were the most morphologically different populations in comparison to other populations, while Andarmanik and Balaswar populations were very close to each other. The strong morphometric variation between Bakkhali and Tentulia, Andarmanik and Balaswar was observed in the present study, suggested the evidence of the separate stock population of barramundi in these locations, which might require distinct stock management strategies for resource sustainability in the waters of southern Bangladesh. However, if these findings are supported by further molecular markers and geometric morphometry, this would be a strong indication of different stocks of this population in the four rivers of southern Bangladesh.     

基于均一化观测序列的成山头海表温度气候变化特征分析

文中利用加拿大环境部气候研究中心研发的惩罚最大t检验方法,选取均一的邻近气象站为参考站,结合元数据信息,对1960-2017年成山头海洋站海表温度序列进行了均一性检验与订正。利用订正后的海表温度序列对成山头海温气候变化特征进行分析。结果表明,订正前后年平均海表温度趋势发生了明显改变,表现出海温上升趋势较订正前加强的特征,增暖趋势由订正前的0.04℃/10 a上升到0.15℃/10 a,其中最暖的5个年份多发生在1980年以后,分别为1973年、1989年、2002年、2007年和2017年。海表温度总体呈显著上升趋势和明显的年代际波动,20世纪60年代至80年代末为偏冷阶段,之后开始增暖,20世纪90年代至今为偏暖阶段。1960-2017年,成山头的海温突变点在1987年,是一次增暖性突变,与中国大陆的气温突变特征和气温变化阶段性特征非常一致。     

电子地图多尺度显示中“放大镜”效果的实现

"放大镜"效果是电子地图多尺度表达的形式之一,能够以更多的细节显示某个或某几个重点,而其他区域则以较少的细节表示。"放大镜"效果的实现需要从数学基础、数据组织、显示调度等多方面进行改造,针对上述几方面讨论了"放大镜"效果的实现方式,并进行了实验论证。     

经验模态法在中国沿岸海平面变化中的应用研究

我国现代海平面变化的系统研究,开始于80年代前后,主要集中于海平面年变率和预测。早期所采用的方法有直线回归法、周期法外推预测等,之后有本征分析方法、随机动态预测模型及灰色系统方法等,以上方法各有利弊,但都因为不能较精确得到海平面变化中的各种周期变化而使得预测精度较差,尤其是对于海平面变化中较长周期的分辨方面。     

顾及字符特征的中文地名词典查询方法

地名词典查询是地名校正、地名匹配等地名服务应用的重要基础,但是地名数量的快速增长使得词典查询性能面临严峻挑战。针对大规模数据环境中传统词典查询方法准确率不高且效率较低等问题,提出了一种顾及字符特征的中文地名词典查询方法（CGQM）。首先,查询具有相同字符特征的地名形成候选地名集合,同时构建单字索引提升查询效率;其次,依据字符数量特征比较查询地名与候选地名的差异,进一步过滤候选地名集合;最后,基于字符位置特征优化查询结果排序策略,使得结果排序更为合理。实验以全国地名词典为例,构建5组测试集进行CGQM方法与Lucene检索方法的对比分析。研究结果表明,CGQM方法对于增强地名词典查询功能、提升查询效率具有实际意义。     

威海沿岸海域潮汐特征分析

文章主要选取国家海洋局成山头海洋环境监测站1996—2016年的潮位、潮差月值资料,利用线性回归法,对威海沿岸海域近21年来的潮汐特征进行分析。结果表明:威海沿岸海域近21年的平均潮位、最高潮位、最低潮位、平均潮差、最大潮差整体上均呈上升的变化趋势,但气候倾向率各不相同,分别是2.57cm/(10a)、5.872cm/(10a)、4.137cm/(10a)、1.017cm/(10a)、2.604cm/(10a)。     

换道概率对交通系统动能的影响

基于跟车模型的特点,提出了跟车模型的动能变化公式,利用该公式研究换道概率对各车辆动能的影响.数值实验结果表明,换道概率和相对速度对各车辆动能产生较大影响,但换道概率和相对速度会分别降低其动能变化频率和幅度.此外,系统增加的平均动能会随着系统最大换道概率的增加而降低.     

浅析云峰井变径前后气压效应与井径比的关系

本文通过改变云峰井孔径试验,探讨了提高地下水观测井映震能力的一种途径。     

新疆盐湖卤水水化学特征研究

要为深入研究新疆盐湖形成演化规律及成盐环境,根据我所历年盐湖科学考察研究结果,对该区盐湖卤水的分布及其化学组成、盐湖卤水的矿化特征和卤水水理性质及水化学类型分类等进行了研究,并通过与我国其它盐湖区盐湖水化学特征的对比分析,确认本区现代盐湖水化学成因类型具有陆相再溶盐成因特征,从而显示了该区盐湖形成演化的独特水文地球化学特点。     

Modelling the effects of motion on primary production in the mixed layer of lakes

A model of the time dependent relationship between productivity and light intensity following changes in light intensity is briefly described. The model incorporates two response timescales simulating initial response and photoinhibition, although additional timescales could easily be incorporated. The model is calibrated against one set of time dependent data, and applied to two simple models of motion in the upper mixed layer of a lake. The two models are: organised motion simulating Langmuir cells, and disorganised motion simulating the turbulent velocity field associated with surface wind stirring. The depth and therefore light histories for a number of photosynthesising particles are calculated by these models, and used by the productivity model to calculate mean productivities. The results show that the influence of the time dependent nature of the productivity relationship depends on the ratio of the mixed layer depth to the euphotic depth, and to a less extent, on the rate at which the particles circulate in the mixed layer.