中国渤黄海的沉积物源及输运路径研究

基于中国渤黄海120个表层沉积物粒度分析,研究了其表层沉积物分布特征与物源和水动力的关系。结果表明,研究区底质类型主要有黏土质粉砂、粉砂、砂质粉砂、粉砂质砂、砂和砂-粉砂-黏土6种类型,以砂质粉砂和黏土质粉砂为主,整体粒度较细、分选较差,在老铁山水道、莱州湾、北黄海北部等水动力较强区域分选相对较好且沉积物粒径相对偏粗。根据沉积物粒度参数、物源、输运路径将研究区划为5个沉积区,分别为渤海湾、滦河口粉砂沉积区,黄河口、莱州湾砂质沉积区,渤海中部粉砂质沉积区,北黄海西部黏土质粉砂沉积区,北黄海北部砂质沉积区。物源和水动力条件控制了研究区沉积物粒度分布。     

莱州湾西南部表层沉积物粒度分布特征及其现代沉积环境分区

根据莱州湾西南部207个表层沉积物样品的粒度分析结果,对莱州湾西南部沉积物粒度分布特征进行了研究,在此基础上应用系统聚类分析方法并结合物源及水动力条件探讨了其现代沉积环境分区。结果表明,研究区表层沉积物类型以粉砂质砂、砂质粉砂和粉砂为主,分布范围最广的粉砂主要位于淄脉沟以北;沉积物平均粒径由近岸向莱州湾中部逐渐变细,从南向北呈现粗—细—粗的变化趋势;研究区现代沉积环境分为高能粉砂质砂粗粒沉积区、砂质粉砂过渡沉积区以及低能粉砂细粒沉积区,其水动力环境表现为波浪作用逐渐减弱,潮流作用逐渐增强,沉积物物源由近岸河流、岸滩侵蚀来沙为主变为以黄河悬浮—再悬浮物质为主。     

海南岛崖州湾表层沉积物空间分布特征及其受控机制

基于崖州湾海域141个表层沉积物粒度分析数据,研究表层沉积物的粒级组分、粒度参数及其沉积动力环境特征。结果表明,研究区底质类型主要有泥质砂质砾、砾质泥质砂、砂、粉砂质砂、砂质粉砂和粉砂6种,砂质粉砂分布最为广泛;粒径总体趋势表现为自北向南由细变粗再变细的NEE条带状分布特征,分选系数总体偏高,反映了该区复杂的物源和水动力条件。运用Flemming三角图式,结合粒度象、研究区物源、水动力条件及地形特征,将研究区划分为3个沉积环境:近岸主要受控于波浪掀沙和搬运作用,粒径较细,表现为波控沉积特征;中部主要受控于径流、波浪和潮流共同作用,粒径粗,分选差,表现为河口沉积特征;南部主要受控于潮流输沙作用,波浪作用减弱,粒径细,分选相对较好,表现为相对低能的沉积环境。沉积物输移趋势分析显示研究区中西部为一沉积物汇聚中心,近岸侵蚀物质、宁远河输运物质以及外海潮流输运物质均向该处运移。     

琼州海峡东口潮流沙脊表层沉积物特征及沉积环境划分

琼州海峡东口潮流沙脊主要受到东西向往复流和地形地貌的控制,是我国重要的海砂资源地。通过对琼州海峡东口海域350个站位的表层样粒度数据的分析,探讨了研究区的沉积物粒度特征,并划分了沉积环境。结果显示,研究区底质类型共17种,以砂、砾质砂、砾质泥质砂、泥质砂质砾、砂质粉砂为主,其中潮流沙脊区,主要分布有砂、砾质砂和砾质泥质砂,以东则分布有砂质粉砂和粉砂质砂,砂质砾和泥质砂质砾多分布于冲刷槽内。研究区沉积物砾、砂、粉砂、粘土的平均占比分别为9.7%、71.0%、15.3%、4.0%,平均粒径为2.15 φ,分选系数为1.69,其中潮流沙脊区砂占比多超过95.0%,平均粒径多小于2.00 φ,分选较好,随着水动力的减弱,由西向东,沉积物逐渐变细。通过聚类分析,研究区共划分出6类沉积区,Ⅰ类、Ⅱ类沉积区分别代表潮流沙脊区和冲刷海槽区,Ⅲ类代表海湾环境,Ⅳ类代表潮流沙脊前缘,Ⅴ类代表开阔陆架,Ⅵ类代表河口水下三角洲沉积环境。     

现代滦河口表层沉积物特征对水动力环境的指示

基于2014年10月采集的滦河口近岸106个表层沉积物样品,进行了粒度分析测试,结果表明,研究区沉积物类型主要有砂、粉砂质砂、泥质砂、砂质粉砂和砂质泥五种类型,粒度组分以砂组分为主,平均粒径整体呈现从滦河口门向外逐渐变细的趋势,分选性在滦河口门为较好-中等,其余区域呈离口门越远分选性越差的趋势,峰态在大部分区域1.1,粒度频率曲线尖锐,偏度大部分区域为极正偏,沉积物粒径参数分布具有很好的一致性。结合多元统计分析以及Flemming三角图分类法将滦河口划分为3个沉积环境区:A区为河口强动力砂质沉积区,主要位于滦河口口门及近岸区;B区为滨岸潮流砂质沉积区,位于滦河口两侧区域;C区为低能泥砂混杂区,位于新开口外侧和滦河口外17～20 m水深范围内。研究结表明,不同沉积区与粒径输运趋势具有较好的对应性。     

山东半岛东北部海底表层沉积物粒度分布特征和沉积作用研究

通过对海底表层沉积物的粒度分析,探讨了山东半岛东北部滨浅海底质沉积物的类型和分布特征。结果表明,该区的底质类型主要为粘土质粉砂、砂质粉砂和粉砂质砂三种类型,其中粘土质粉砂约占该区沉积物分布面积的60%以上,呈侧倒的“Y”字形由西北向东南展布,沉积物各粒级组的含量与海流的方向和强弱有明显的相关性。     

南海中沙群岛海域表层沉积物粒度特征及其输运趋势

对南海中沙群岛海域232个表层沉积物样品进行了粒度分析,以探讨研究区沉积物来源、沉积环境和输运趋势.根据Folk沉积物命名法,将研究区沉积物划分为砂、粉砂质砂、砂质粉砂、砂质泥、粉砂和泥等6种类型,以砂质泥和泥为主,粒径较粗、分选较好的沉积物主要分布在中沙台地海域.通过对组分含量、粒度参数和水深进行聚类分析和主成分分析...     

日照近海表层沉积物粒度特征与沉积环境

对日照近海50个表层沉积物样品进行粒度计算、多元统计分析和沉积环境动力分区,结果表明研究区沉积物类型复杂,从泥质砂质砾到泥均有分布,共11种类型。沉积物粒度组成以砂和粉砂为主,砂含量占绝对优势,多以细砂形式存在。日照港和岚山港附近的沉积物粒径细,分选较差,负偏,峰态平坦,其它区域总体上粒径粗,分选差,正偏,峰态尖锐。研究区分为3个不同的沉积环境区。1区分布在傅疃河口近岸,为河口强动力沉积区;2区分布在东部15~20m水深区域,为潮流沉积和残留沉积混合作用区;3区分布在日照港和岚山港附近海域,为潮下低能沉积区。     

渤海南部早-中更新统湖相沉积的粒度特征及其对沉积环境的指示

通过对莱州湾南岸Lz908孔下部47m沉积物的粒度分析,揭示了该地区沉积物的粒度特征:平均粒径介于3.2Φ~7.4Φ,大部分为黏土质粉砂,少部分为砂质粉砂,亦含有少量粉砂质砂;分选系数介于1.1~2.5,分选较差;偏度绝大多数介于0.7~2.4,表现为正偏和极正偏;峰度介于1.9~3.4,表现为平坦和正态。通过粒级组成、粒度象特征、粒度结构散点图等的综合分析,表明:钻孔下部沉积物与上部沉积物相比,指示了相对低能稳定的水动力环境;莱州湾南岸地区在早-中更新统处于浅湖相与深湖相交替存在的沉积环境。因此,本文认为对渤海莱州湾南岸地区沉积物粒度特征的研究可以有效的判断沉积环境,提取古环境信息,是沉积环境的重要替代指标。     

长江河口区末次冰期以来沉积物的粒度特征及水动力条件

在岩心观察和沉积相研究基础上,对长江河口区H1孔末次冰期以来沉积物样品进行了粒度分析,讨论了沉积物粒度特征与水动力条件演化关系。分析表明,研究区末次冰期以来先后经历了河床、河漫滩、河口湾、浅海和三角洲等5种沉积环境。其中,河床相砂含量很高,平均粒径和环境敏感粒级最粗,分选变化较大,概率累积曲线主要为跳跃总体为主的两段式,频率分布曲线为单峰式且主峰粒径大;河漫滩沉积物整体粒度较细,以粉砂为主,分选较稳定,累积曲线仍以两段式为主,但悬浮总体比例较河床相高,环境敏感粒级更细;河口湾沉积物明显分异为粗细两类,分选波动较大,累积曲线主要为具过渡段的跳跃总体为主的两段式,双峰式粒度频率分布;浅海相平均粒径最细,分选性差但稳定,具悬浮一段式的累积曲线,粒度频率分布为单峰式且主峰粒径很小,环境敏感细粒组分分布宽泛;三角洲沉积物主要为砂和粉砂,分选性相对较好,累积曲线为跳跃总体为主的两段式,单峰式粒度频率分布但主峰粒径变化较大。总体上,H1孔沉积物的粒度特征能较好地反映研究区末次冰期以来沉积环境水动力条件"强—较弱—较强—弱—较强"的变化过程。     

Microbial Biomass and Organic Nutrients in the Deep-Sea Sediments of the Central Indian Ocean Basin

In order to assess the impact of deep-sea mining on the in situ benthic life, we measured the microbial standing stock and concentration of organic nutrients in the deep-sea sediments of the Central Indian Ocean Basin in the Indian pioneer area. Sediments were collected using box core and grab samples during September 1996. The total bacterial numbers ranged from 10 10 -10 11 cells per g -1 dry weight sediment. There was a marginal decrease in the number of bacteria from surface to 30 cm depth, though the subsurface section registered a higher number than did the surface. The highest numbers were encountered at depths of 4-8 cm. The retrievable number of bacteria were two orders less in comparison with the direct total counts of bacteria. An almost homogeneous distribution of bacteria, total organic carbon, living biomass, and lipids throughout the depth of cores indicates active microbial and benthic processes in the deep sea sediments. On the other hand, a uniform distribution of total counts of bacteria, carbohydrates, and total organic carbon in all the cores indicates their stable nature and suggests that they can serve as useful parameters for long-term monitoring of the area after the benthic disturbance. Further studies on temporal variability in this region would not only verify the observed norms of distribution of these variables but would also help to understand restabilization processes after the simulated benthic disturbance.     

Assessing the Validity of Seismo-Acoustic Predictor Equations for Obtaining Seabed and Sub-Surface Sediment Physical Properties

The interdependence between the seismo-acoustic properties of a marine sediment and its geotechnical/physical parameters has been known for many years, and it has been postulated that this should allow the extraction of geotechnical information from seismic data. Though in the literature many correlations have been published for the surficial layer, there is a lack of information for greater sediment depths. In this article, a desktop study on a synthetic seafloor model illustrates how the application of published near-surface prediction equations to subsurface sediments (up to several tens of meters burial depth) can lead to spurious predictions. To test this further, acoustic and geotechnical properties were measured on a number of sediment core samples, some of which were subjected to loading in acoustically-equipped consolidation cells (oedometers) to simulate greater burial depth conditions. For low effective pressures (representing small burial depths extending to around 10 meters subsurface), the general applicability of established relationships was confirmed: the prediction of porosity, bulk density, and mean grain size from acoustic velocity and impedance appears generally possible for the investigated sedimentary environments. As effective pressure increases through, the observed relationships deviate more and more from the established ones for the near-surface area. For the samples tested in this study, in some instances increasing pressure even resulted in decreasing velocities. There are several possible explanations for this abnormal behavior, including the presence of gas, overconsolidation, or bimodal grain size distribution. The results indicate that an appropriate depth correction must be introduced into the published prediction equations in order to obtain reliable estimates of physical sediment properties for greater subsurface depths.     

Geoacoustic Inversion via Genetic Algorithm and Its Application to Manganese Sediment Identification

An acoustic inversion method using a wide-band signal and two near field receivers is proposed and applied to multiple layered seabed models including a manganese sediment. The inversion problem can be formulated into a probabilistic model comprised of signals, a forward model, and additive noise. The forward model simulates wide-band signals, such as chirp signals, and is chosen to be the source-waveletconvolution plane wave modeling method. The wavelet matching technique, using weighted least-squares fitting, estimates the sediment sound-speed and thickness on which determination of the possible numerical ranges for a priori uniform distribution is based. The genetic algorithm is applied to a global optimization problem to find a maximum a posteriori solution for determined a priori search space. Here the object function is defined by an L 2 norm of the difference between measured and modeled signals. Not only the marginal pdf but also its statistics are calculated by numerical evaluation of integrals using the samples selected during importance sampling process of the genetic algorithm.     

海上大直径钢管桩打桩过程中桩周土强度弱化研究

海上大直径钢管桩打桩过程中,桩周土体受到强烈扰动而发生强度弱化,掌握桩周土体强度弱化规律对于准确预测打桩过程、保证工程安全具有重要意义。为研究土体强度弱化规律,开展了环剪试验模拟打桩对桩周土体的扰动,测试土体强度随剪切速率的变化规律,建立了描述土体强度弱化规律的拟合公式,引入到打桩分析软件中。研究结果表明：土体的强度折减程度不仅与土体本身的性质有关还受到土体的埋深和剪切速率的影响,埋深越深土体强度折减程度越低,剪切速率越高土体强度折减越高,在打桩分析中可采用这里推荐的线性折减方法来模拟不同深度处土体强度的折减规律。     

Interannual Sea Level Variations and Annual Tides in the Northwestern Pacific

Specific properties of the interannual sea level variations and annual tides in the Northwestern Pacific were studied. Several tide stations were monitored. The monthly mean sea level for the year of 1995 was analyzed at each tide station. A seismic event in 1995, some tectonic activity around the subject area, and the Kuroshio (the oceanic western boundary current) may possibly contaminate results which would have occurred from the astronomical annual tide alone.     

Flow Cytometric Analysis of Coastal Lagoon Bacterioplankton and Picophytoplankton: Fixation and Storage Effects

The effect of different fixation and storage protocols on the flow cytometric (FCM) simultaneous analysis of bacterioplankton and phytoplankton in coastal seawater samples (Mediterranean coastal lagoons) was investigated. FCM measurements (cell number, fluorescence and scatter characteristics) were obtained through DAPI staining. Three fixatives [glutaraldehyde (GA), formaldehyde (FA) and paraformaldehyde (PFA)] and two storage (3 months duration) methods (5 °C and −196 °C) were tested. Two dominant populations were detected in studied samples: bacteria and eukaryotic picophytoplankton. Adding fixatives (2% final concentration) appears necessary to obtain FCM exhaustive counts of all the bacteria and phytoplanktonic cells. This was related to the permeation effect of fixatives which allowed a better DAPI staining of the cells. Maximum fluorescence, i.e. optimal staining of the cells was obtained with FA or PFA, and significant lower fluorescences with GA. Fixed samples stored at 5 °C induced rapid cell loss. Only storage in liquid nitrogen of samples fixed with FA or PFA, allows mid-term (≥4 months) preservation of bacteria or picophytoplankton cell numbers, and limited evolution of DAPI-induced fluorescence and scatter characteristics.     

INFORMATION FOR AUTHORS

<正>Acta Oceanologica Sinica(AOS)is a comprehensive academic journal edited by the Editorial Committee of Acta Oceanologica Sinica and is designed to provide a forum for important research papers of the marine scientific community which reflect the information on a worldwide basis.The journal publishes scholarly papers on marine science and technology,including physics,chemistry,biology,     

Deep-Sea Sediment Compression Curves: Some Controlling Factors, Spurious Overconsolidation, Predictions, and Geophysical Reproduction

Oedometer tests have been carried out on 70 undisturbed surficial clays (at approximately 250 mm below the mudline), mostly collected by free-fall corers from sites widely scattered throughout the deep-sea North Atlantic. Acoustic measurements were also made, initially on contiguous samples and ultimately on the same sample using a geophysically instrumented oedometer which also collected electrical resistivity data. Apart from those quiescent areas below the carbonate compensation depth, such as north of the West Indies where very fine clays exist, most of the samples are silty clays whose geotechnical-geophysical properties are dependent on the type of clay minerals present (and their ability to take in moisture), the sand-size fraction, and the quantity of carbonate present. Thus the pure clays have high compressibilities which decrease on the addition of coarse particles, while the converse is true for the acoustic parameters, these increasing with the sand fraction. Using the notion of the intrinsic compression line for all samples, and comparison to it of the measured compression curves, it is clear that, contrary to some previously held ideas, most deep-sea clays are normally consolidated; the addition of carbonate has the effect of creating an open, stronger sediment skeleton. Interestingly, where information is available, the variation with depth of a sample's acoustic velocity follows the void ratio pressure relationship of the compression curve. This allows the construction of an in-situ sediment compression curve using the in-situ geophysical observations.