全新世长江水下三角洲朵体及其发育特征

本文根据长江水下三角洲地区的五个钻水及３０００ｋｍ浅地震剖面资料，运用生物地层学和地震地层学方法分析研究，获得了水下三角洲分期和三角洲朵体的分布及发育等地质信息，首次提出，长江水下三角洲沉积体由六期朵体参错迭置而成，详细阐述了水下三角洲复合体的结构特征；并结合古海岩线，孢粉气候地层，测年资料等，探讨了其发育过程及形成时代，为预测长江下水三角洲的发民菜，提供了新的基础地质依据。     

SSA1—1型声学水位在长江口潮位站的应用

本文介绍了长江口区水文泥沙概况，举例说明了ＳＳＡ１－１型声水位计在崇头潮位站比测试验和投产应用情况，结果表明该水位计是收集长江口区潮位资料较理想的仪器。     

长江口拦门沙地区的泥沙运动规律

依据１９８８年７月和１２月水文观测资料，通过流，盐，沙的综合分析，认识到长江口拦门沙地区的泥沙运动有与河口其他地区不同的特点，泥沙输移在水平面上和垂直面上存在着多种循环，潮流和盐水截留大量泥沙积聚的拦门沙地区，河口在盐淡水交锋地带，除了涨，落急时段外，发现在转流时期泥沙也可能产生再悬浮，从而形成一个潮周期中出现３次或４次再悬浮的特殊规律。     

GIS支持下的长江口拦门沙泥沙冲淤定量计算

依据1842～1997年10幅不同年代的长江口海图资料,利用地理信息系统和数字化仪进行处理,建立不同时期的长江口水下数字高程模型,以此作为基础资料,实现了从横剖面、深泓线纵剖面、平面变化等不同角度对长江口拦门沙地区滩槽演变、岸线侵蚀、沙岛形成与变迁等进行研究.通过计算河槽容积,实现了对不同时段泥沙冲淤量的计算.结果表明,155a来拦门沙总的趋势是不断淤积,但不同时期淤积速度大不一样,个别时期甚至会发生一定程度的冲刷,这主要与动力条件的波动有关.1842～1997年,共淤积泥沙38.10亿t,平均每年淤积0.246亿t,约占长江来沙的5%,年均淤厚为1.1cm泥沙淤积部位主要在九段沙、横沙及横沙东滩、崇明东滩三处.发生冲刷的范围较小,仅占总面积的21.4%,主要在北槽,北港上段和南槽局部也有轻微的冲刷发生.     

长江口及济州岛附近海域变性水团的初步分析

基于变性水团的概念,本文把聚类分析用于确定长江口及济州岛附近海域变性水团的边界。由聚类分析得到的结果表明,在该海区有十个水团。对它们的特征、分布与变化进行了初步分析。作者得出的结论是:1、在十个水团中,有四个大洋性水团,六个变性水团。2、该海域水团变性的特点为暧季增温、降盐、降氧,而冷季则相反。3、水团变性是由海区内、外因素综合作用而发生的,而后者在浅水区域起主要作用。4、水团边界的舌状分布与流向之间有明显关系。因之,海流的方向及强度,大致可依水团舌状分布而判断。5、底层中心渔场基本上位于各变性水团之间的混合区或其附近。     

珠江河口铜、铅、锌、铬和镉对单细胞藻类生长的影响

通过现场采水样和实验室模拟,研究珠江河口环境在一连串变化过程中,当各种浓度的Cu,zn,Pb,Cr和Cd单独存在或共存时,对单细胞藻类——硅藻和扁藻的毒性影响。     

晋江河口及泉州湾湿地生物分布特点

泉州湾受晋江河口径流影响很大，导致湿地生物的水平分布与盐度的分布紧密相关．大致分为湾外和外湾种、内湾低盐种、感潮河段咸淡水种．长腕和尚蟹、扁平蛛网海胆和文昌鱼仅分布在外湾或湾外的砂质海底．3种红树植物、互花米草、招潮蟹、弹涂鱼是内湾泥滩的优势种．咸水草是感潮河段咸淡水指标种．河蚬虽是淡水种，也分布在低盐河段．     

珠江口河流输沙、河口沉积与粒度信息之间的联系

河口三角洲地区泥沙供应充分，是现代沉积速率较高的区域。快速沉积的泥沙包含高分辨率的环境信息。采用放射性同位素测年方法研究了珠江口伶仃洋大铲湾海域6个柱样的现代沉积速率，以2mm的间隔分析了其中2个柱样上部的粒度，并对其平均粒径和珠江流域的年输沙量进行了快速傅里叶变换，以期获取河流泥沙供应、河口沉积速率和沉积物垂向粒度变化的对应关系。结果表明，大铲湾海域的沉积速率为1～3cm／a，受动力条件和泥沙供应条件的影响显著。2个柱样的平均粒径的最显著重现周期与珠江年输沙量的周期性有较好的对应关系，并可能反映了季节的、年的和多年的沉积速率信息。对于每年沉积厚度在厘米级的环境，以毫米级的高分辨率进行粒度分析，有可能揭示出沉积物供应的季节变化和年际变化。本研究亦可为其他河口的相关工作提供借鉴。     

A Stable Carbon Isotope Study of the Food-web in a Freshwater-deprived South African Estuary, with Particular Emphasis on the Ichthyofauna

The importance of macrophytes as food sources for estuarine nekton is unclear. Previous carbon isotope investigations in the macrophyte-dominated, freshwater-deprived Kariega Estuary showed that the bivalveSolen cylindraceusdid not utilize the dominant estuarine macrophytes found within the estuary as a primary food source. This finding prompted questions as to what the nekton of this estuary utilize as primary energy sources. δ¹³C analyses of the principal autochthonous and allochthonous primary carbon sources, as well as the dominant invertebrate and fish species, indicate that there are two main carbon pathways within the Kariega Estuary. The littoral community, which incorporates the majority of crustaceans, gobies, mullet and a sparid, utilizes δ¹³C enriched primary food sources namelySpartina maritima,Zosteracapensis and epiphytes. The channel fauna, which includes the zooplankton, zooplanktivorous and piscivorous fish, utilizes a primary food source depleted in δ¹³C, which is most likely a mixture of phytoplankton, terrestrial plant debris and C₄macrophyte detritus. The C₃saltmarsh macrophytesSarcocornia perennisandChenolea diffusa, as well as benthic microalgae, appear to be less important as primary food sources to the nekton of the Kariega Estuary.     

Thermohaline Anomalies in the Spring and Early Summer of 2000 in the Gulf of Trieste

Abstract. In the framework of the Interreg II Project (July 1998 - June 2001), hydro-logical, chemical and biological data were collected in the Gulf of Trieste.
During spring and summer 2000, some particular thermohaline anomalies were observed in the Gulf of Trieste. Especially in May and June the water body showed: a very strong thermohaline stratification, an increase of advective salt water coming from the south and the presence of sharp pycnoclines. In July the temperature was higher than usual in the whole water column. Moreover, in late May and in June, massive mucilaginous aggregates were observed along the water column and at the surface.
In order to highlight these particular thermohaline features the hydrological data of 16 stations were analysed (Fig. 1). Two stations, in particular, were considered: one offshore (St. AA1, average depth 20 m) and one close to the coast (St. C1, average depth 17 m). For these two stations a best-fit analysis, computed over 11 and 7 years, respectively, was performed on temperature, salinity and density excess data.
Moreover, the hydrological features were compared with the rainfall, air temperature, wind speed data (Istituto Sperimentale Talassografico di Trieste - ISTT) and the Isonzo River's flow rate (Direzione Regionale dell'Ambiente - Regione F. V. G.) collected from January 1998 to December 2000.