基于Ecopath模型的舟山海域褐菖鲉(Sebastiscus marmoratus)生态容量评估

根据2021年渔业资源调查数据构建了含有23个功能组的舟山海域生态系统Ecopath模型,分析了当前舟山海域生态系统总体特征并估算了褐菖鲉在舟山海域的生态容量。结果表明:舟山海域生态系统营养级范围为1.000 (浮游植物和有机碎屑)～4.277 ( 鳐类),石首鱼科、虾类和 鳐类为舟山海域生态系统中的关键种。碎屑食物链和牧食食物链是舟山海域生态系统主要的食物链。碎屑和浮游植物对食物网的贡献率分别为61.32%和38.69%。始于浮游植物和碎屑的营养传递效率分别是9.34%和10.50%,系统总营养传递效率是9.82%。总初级生产量/总呼吸量为2.26,系统连接指数为0.372,系统杂食性指数为0.222。生态系统总体特征反映了舟山海域生态系统的成熟状态较低,生态系统处于不稳定阶段,容易受到外界环境变化的影响。根据模型估算,当褐菖鲉生物量增加至8.6倍时,褐菖鲉达到生态容量0.007 95 t/km²,此时生态系统仍保持平衡,且生态系统总体特征基本稳定。因此,褐菖鲉在舟山海域尚有较大增殖潜力。     

海岸带区域海洋生态环境承载力综合评价方法体系的探讨与分析

作为协调海岸带区域开发利用活动与生态环境保护之间关系,衡量海岸带区域可持续发展能力的重要手段之一,海洋生态环境承载力综合评价的量化研究至关重要。文章总结了当前海洋生态环境承载力综合评价研究中所存在的问题,比较分析了当前承载力评价中常用的技术方法,并结合海岸带区域的特点,遴选出一套适用于海岸带区域海洋生态环境承载力综合评价的方法体系;在此基础上,通过案例应用的结果分析,进一步探讨该方法体系的可行性与局限性,并提出了改进建议。研究结果表明：鉴于海岸带区域生态系统的复杂性和不确定性,目前一些传统、常用的承载力评价方法,并不能很好地适用于海岸带区域海洋生态环境承载力综合评价;文章所提出的方法体系通过充分考虑人类活动与海洋生态环境之间的相互作用,能较好地支持海岸带区域海洋生态环境承载力评价指标体系的建立,客观地对各项评价指标进行赋权,并能定量化地对海洋生态环境承载力开展综合分析与评估,从而为海岸带区域生态环境承载力综合评价提供一个可行的途径,并为确保海岸带区域的可持续发展提供经验参考;此外,该方法体系存在着两方面的局限性,包括缺乏权威和统一的指标体系构建方法,以及缺乏具体的评价结果分级标准。鉴此,建议未来需要对指标体系构建和评价结果分类标准的相关方法,进一步开展深入研究,从而不断地完善海洋生态环境承载力综合评价的方法体系,使海洋生态环境承载力综合评价的结果更加科学精确。     

Sustainable shellfish aquaculture in Saldanha Bay,South Africa

The carrying capacity for bivalve shellfish culture in Saldanha Bay, South Africa, was analysed through the application of the well-tested EcoWin ecological model, in order to simulate key ecosystem variables. The model was set up using: (i) oceanographic and water-quality data collected from Saldanha Bay, and (ii) culture-practice information provided by local shellfish farmers. EcoWin successfully reproduced key ecological processes, simulating an annual mean phytoplankton biomass of 7.5 µg Chl a l^–1 and an annual harvested shellfish biomass of about 3 000 tonnes (t) y^–1, in good agreement with reported yield. The maximum annual carrying capacity of Small Bay was estimated as 20 000 t live weight (LW) of oysters Crassostrea gigas, or alternatively 5 100 t LW of mussels Mytilus galloprovincialis, and for Big Bay as 100 000 t LW of oysters. Two production scenarios were investigated for Small Bay: a production of 4 000 t LW y^–1 of mussels, and the most profitable scenario for oysters of 19 700 t LW y^–1. The main conclusions of this work are: (i) in 2015–2016, both Small Bay and Big Bay were below their maximum production capacity; (ii) the current production of shellfish potentially removes 85% of the human nitrogen inputs; (iii) a maximum-production scenario in both Big Bay and Small Bay would result in phytoplankton depletion in the farmed area; (iv) increasing the production intensity in Big Bay would probably impact the existing cultures in Small Bay; and (v) the production in Small Bay could be increased, resulting in higher income for farmers.     

湛江流沙湾马氏珠母贝的养殖容量

2008年3月—2009年1月调查分析流沙湾浮游动植物的生物量、叶绿素a含量、初级生产力、马氏珠母贝Pinctada martensii含壳重与鲜组织重的比值、养殖贝类和野生滤食性动物的滤水率、潮间带和潮下带底栖贝类及吊养区附着滤食性动物现存量等,应用营养动态模型和贝类养殖容量估算模型估算滤食性动物的总容量,扣除野生滤食性动物现存量,最终确定马氏珠母贝的养殖容量。结果显示,2种模型估算马氏珠母贝的养殖容量分别为19637.5t和20126.4t,平均养殖容量19881.95t。依据流沙湾马氏珠母贝的通常养殖密度(1.05×105个.hm-2)和平均商品规格(41g.个-1)计算,流沙湾马氏珠母贝的适养面积为461.83hm2。     

Model tree approach for prediction of pile groups scour due to waves

Scour around piles could endanger the stability of the structures placed on them. Hence, an accurate estimation of the scour depth around piles is very important in coastal and marine engineering. Due to the complex interaction between the wave, seabed and pile group; prediction of the scour depth is not an easy task and the available empirical formulas have limited accuracy. Recently, soft computing methods such as Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) have been used for the prediction of the scour depth. However, these methods do not give enough insight about the process and are not as easy to use as the empirical equations. In this study, new formulas are given that are easy to use, accurate and physically sound. Available empirical equations for estimating the pile group scour depth such as those of Sumer et al. (1992) and Bayram and Larson (2000), are less accurate compared to the given equations. These equations are as accurate as other soft computing methods such as ANN and SVM. Moreover, in this study, safety factors are given for different levels of acceptable risks, which can be so useful for engineers.     

日本蟳血细胞及血液生化指标的研究

以光镜和电镜观察了日本蝠（Charybdisjaponica）血细胞的形态结构,分析了各类血细胞的大小、数量比例及功能,并测定了不同发育时期及饥饿状态的日本蝽血清主要生化指标。结果表明：日本蝠血细胞可分为4种类型,从小到大依次为：无颗粒细胞、小颗粒细胞、中间型细胞和大颗粒细胞;其核质比分别为：53．23％、33．64％...     

Estimation of Axial Pile Bearing Capacity According to Shear Strength Parameters of Soil

At pesent,it is very popular to estimate pile bearing capacity by use of empirical formula andphysical indexes of soil provided in the design codes for civil construction in China.This paper attempts toapply mechanical indexes of soil and semi-empirical formulas,which are based on soil mechanical theoriesand were summarized and presented by Meyerhof in 1976,to calculate the axial pile bearing capacity.Lo-ading test results of 24 single piles in Tianjin area have been collected and compared with the proposed cal-ulation approach.     

三角褐指藻体分泌物质对汞的络合作用

本文测定了一次培养实验和连续培养实验中三角褐指藻胞外产物的变化及其与汞的络合性能。28天的培养过程中测得胞外产物与汞的络合容量C_L为2.6×10~(-5)mol/dm~3;表观稳定常数K′为6.1×10~(10)。该结果解释了细胞培养过程中胞外有机物的释放对汞的解毒机理及对介质中汞形态的转化。     

Pollution Condition of Petroleum Hydrocarbon Pollutant and Estimation of Its Environmental Capacities in Summer in the Bohai Sea

The zones around the Bohai Sea are the most developed area in north China [1]. With the development of economy and increasing of population, the marine environment quality has become worse and worse in Bohai Sea, especially in the coastal regions of Bohai Bay, Liaodong Bay and Laizhou Bay [1]. As reported, the petroleum hydrocarbon (PH) contamination in the Bohai Sea was mainly due to the discharge of oily wastewater from inland [1]. There were about 8 734 392.3 104 t water input in the …     

海洋工程中桩基水平向承载力可靠指标的影响因素分析

桩基础水平向承载力的计算是海洋工程中桩基设计的重要组成部分。论文在搜集了大量平台建设资料的基础上,以现有的桩基水平向承载力的设计计算方法为依据,进行了水平向承载力的可靠度研究。对影响可靠指标的各个因素进行了灵敏度分析。