Total lipid and fatty acid composition of eight strains of marine diatoms

Fatty acid composition and total lipid content of 8 strains of marine diatoms (Nitzschia frustrula, Nitzschia closterium, Nitzschia incerta, Navicula pelliculosa, Phaeodactylum tricornutum, Synedra fragilaroides) were examined. The microalgae were grown under defined conditions and harvested at the late exponential phase. The major fatty acids in most strains were 14∶0 (1.0%–6.3%), 16∶0 (13.5–26.4%), 16∶1n−7 (21.1%–46.3%) and 20∶5n−3 (6.5%–19.5%). The polyunsaturated fatty acids 16∶2n−4, 16∶3n−4, 16∶4n−1 and 20∶4n−6 also comprised a significant proportion of the total fatty acids in some strains. The characteristic fatty acid composition of diatoms is readily distinguishable from those of other microalgal groups. Significant concentration of the polyunsaturated fatty acid 20∶5n−3 (eicosapentaenoic acid) was present in each strain, with the highest proportion in B222 (19.5%). Project supported by the Hi-Tech “863” Programs of the China Ministry of Science and Technology (863-819-02-01).     

脂肪水平对厚唇弱棘鯻生长及肠道脂肪酶活性的影响

以鱼油为脂肪源,配制成脂肪水平(质量分数,下同)分别为3.1%、5.8%、9.4%、11.9%和15.1%的5种等氮饲料,探讨饲料脂肪水平对初始体重为(4.05±0.11)g的厚唇弱棘鯻(Hephaestus fuliginosus)生长及肠道脂肪酶活性的影响。结果表明,随着饲料脂肪含量提高,实验用鱼脏体比、肥满度及肌肉粗蛋白含量也随着提高,但各组间差异不显著(P>0.05)。饲料脂肪水平从3.1%增加到9.4%,厚唇弱棘鯻的饲料效率呈升高趋势,相对增重率值由76.42%±5.88%升至102.09%±5.31%;而当饲料脂肪水平从9.4%提高至15.1%,饲料效率呈降低趋势(P<0.05),相对增重率值降为70.54%±2.06%。随着饲料脂肪水平提高,厚唇弱棘鯻肝体比、肌肉粗脂肪含量、肠道脂肪酶活性均呈上升趋势,且各组间差异显著(P<0.05)。表明本实验条件下饲料脂肪含量超过9.4%可导致厚唇弱棘鯻生长和饲料利用下降,对其形体特征、肌肉粗脂肪含量以及肠道脂肪酶活性均有显著影响。     

若尔盖高原全新世气候序列的类脂分子化石记录*

基于可靠的年代标尺,结合青藏高原泥炭沉积剖面的有机碳、孢粉等相关资料,首次在该区利用类脂分子化石指标建立了全新世以来的气候与环境演化序列。结果表明,正构烷烃、脂肪酸和脂肪醇等类脂分子化石指标存有意义的规律性变化。其中,反映低等菌藻生物和高等植物相对变化的轻组分与重组分之比L/H以及平均碳链长度ACL具有很好的古气候意义,即L/H高,ACL低,指示气候偏暖湿;L/H低,ACL高,指示气候偏干冷。各个类脂分子化石指标记录的气候信息在细节上具有一定的差异,可能是不同类脂物分子的地球化学行为和生物组成结构的不同以及对气候因素温湿组合变化响应各异的体现。同时,也较好地揭示了类脂分子化石具有自己的敏感性,在细节上较传统的有机碳指标在记录气候信息上更为敏感。该研究进一步突出了这些泥炭类脂分子化石在第四纪研究中的重要地位和应用潜力。     

一种用于沉积相分析的新型模式识别方法

本文介绍一种用于沉识相分析的新型智能模式识别方法──神经网络模式识别方法。该方法利用关键井研究建立的测井相与地质相的对应关系作为识别模式，通过向识别模式学习获得模式识别智能知识，从而利用这些智能知识识别未知井、未知点的微相类型。本文方法成功地应用于中原油田文留地区沙四段沉积微相的识别与划分。     

地下水动态预测的探讨

简要介绍地下水数学模型的原理和应用实例,着重介绍在河北省大清河地下水系统的大沙河-磁河冲洪积扇孔隙地下水区,尝试建立地下水埋深变幅预测的统计相关方法和神经网络模型取得的良好效果;同时对地下水预测中的降水补给、边界和初始条件等的处理进行讨论,对数学模型和统计相关模型优缺点进行比较。     

不稳定边界层下地形重力内波

水槽实验及线性理论研究表明,当低层大气处于近中性或不稳定时,如果地形引起的动力扰动足够强,地形扰动可在上部稳定层结中激发出重力内波,波动反过来影响低层流场,引起动量输送。低层大气处于近中性或不稳定时,地形波同样对大气运动可产生波阻,这应引起模式工作者的重视。最后讨论了大气粘性对中性或不稳定层结下地形波的影响。     

非均一地形近地层风速廓线特点及粗糙度的研究

在中性大气层结条件下,利用35 m铁塔上五层不同高度处的有效风速,分析得到了非均一地形近地面层风速廓线特点及由粗糙元所决定的粗糙度。结果表明:(1)近地面层风速廓线一般符合对数风速廓线模式,其相关系数均大于0.985,标准偏差为0.04左右;(2)粗糙度的值为1.25 m。但由于外界流体运动状态改变可引起粗糙度出现起伏,其变化范围较大,一般在0.038～4.903 m,与风速之间的相关系数为-0.953。     

基于遗传算法的神经网络短期气候预测模型

用遗传算法优化神经网络的连接权和网络结构,并在遗传进化过程中采取保留最佳个体的方法,进行短期气候预测建模研究。该方法克服了由于神经网络初始权值的随机性和网络结构确定过程中所带来的网络振荡,以及网络极易陷入局部解问题。作为应用实例,以广西全区4月份平均降水作为预报量及前期500hPa月平均高度场,海温场高相关区作为预报因子,建立基于遗传算法的神经网络短期气候预测模型。将这种方法与传统的逐步回归方法作对比分析,结果表明,该方法具有预报精度高,稳定性好的特点。     

Comparison of scenario‐neutral approaches for estimation of climate change impacts on flood characteristics

Scenario‐neutral assessments of climate change impact on floods analyse the sensitivity of a catchment to a range of changes in selected meteorological variables such as temperature and precipitation. The key challenges of the approach are the choice of the meteorological variables and statistics thereof and how to generate time series representing altered climatologies of the selected variables. Different methods have been proposed to achieve this, and it remains unclear if and to which extent they result in comparable flood change projections. Here, we compare projections of annual maximum floods (AMFs) derived from three different scenario‐neutral methods for a prealpine study catchment. The methods chosen use different types of meteorological data, namely, observations, regional climate model output, and weather generator data. The different time series account for projected changes in the seasonality of temperature and precipitation, in the occurrence statistics of precipitation, and of daily precipitation extremes. Resulting change in mean AMF peak magnitudes and volumes differs in sign between the methods (range of ?6% to +7% for flood peak magnitudes and ?11% to +14% for flood volumes). Moreover, variability of projected peak magnitudes and flood volumes depends on method with one approach leading to a generally larger spread. The differences between the methods vary depending on whether peak magnitudes or flood volumes are considered and different relationships between peak magnitude and volume change result. These findings can be linked to differing flood regime changes among the three approaches. The study highlights that considering selected aspects of climate change only when performing scenario‐neutral studies may lead to differing representations of flood generating processes by the approaches and thus different quantifications of flood change. As each method comes with its own strengths and weaknesses, it is recommended to combine several scenario‐neutral approaches to obtain more robust results.     

Review of Global Ocean Intermediate Water Masses: 1.Part A, the Neutral Density Surface (the ‘McDougall Surface’) as a Study Frame for Water-Mass Analysis

1Preface Todescribeoceanicintermediatewatermasses,itis necessarytohaveawell definedstudyframeorsurfacebecauseofthefluctuationnatureofintermediatewa ters.Itiswellunderstoodthatoceanicwater mass mixingdoesnotalignwitheitheraconstantgeopoten tialdepthorapropertysurfacesuchastemperature,salinity,pressureanddensitysurfacesbutfollowsa neutraldensitysurface.Thisisbecauseawaterparcelmovesasmalldistanceisentropicallyandadiabaticallyontheneutraldensitysurfacewithoutdoingworka gainstabuoyantrestoringforc…