象山港潮波响应和变形研究 Ⅱ.象山港潮波数值研究

通过象山港水域的潮波运动数值模拟,分析了象山港M4分潮的生成和增长机制．结果说明,潮波传播中的非线性底摩擦效应是M4分潮生成和增长的主要控制因子,M4分潮在湾内的共振现象也起着重要的放大作用二平流效应在绝大部分区域中抑制了M4分潮的发展,只有在佛渡水道中一些岛屿周围极小区域内对M4分潮有增强作用．潮滩在湾内对M4分潮的影响极其微弱．     

福建沙埕港浮游动物群落特征及影响因子

根据沙埕港2006年1月和4月冬、春季2个航次的调查资料,分析了浮游动物种类组成、优势种、丰度和生物多样性的季节变化,并利用PRIMER统计软件中的PCA、BIOENV和RELATE程序探讨了浮游动物与环境因子的关系.经鉴定共有浮游动物77个种类(含浮游幼虫15类 ).中华哲水蚤(Calanus sinicus)和真刺唇角水蚤(Labidocera euchaeta)是2个航次共有的优势种,桡足幼体在2个航次中也都占优势.与1990年调查相比,浮游动物丰度大幅下降,浮游动物种类组成已发生了较大改变.沙埕港的浮游动物大致可分为河口型类群、沿岸型类群和近海型类群.冬季航次浮游动物的平均总丰度为20.6 ind/m3,春季航次为92. 2 ind/m3,低于福清湾浮游动物同期调查结果.浮游动物总丰度分布均为由湾口向湾顶递减的趋势.春季的浮游动物总丰度和香农-威纳多样性指数均高于冬季,冬季浮游动物生物多样性呈现湾中、西部高,湾口、湾顶低的趋势,而春季浮游动物多样性分布比较均匀.经统计分析,影响冬季和春季浮游动物分布的主要环境因子为盐度、温度.     

象山港大型底栖动物群落特征

2006年7月—2008年8月,对象山港全港海域设立的13个采样站位采集的调查资料,用物种丰富度指数、物种均匀度指数和物种多样性指数分析象山港大型底栖动物物种的多样性和群落种类的组成,以及采用ABC曲线方法和大型多元统计分析软件PRIMER5对象山港大型底栖动物进行Bray-Curtis相似性聚类分析和非度量MDS标序,研究象山港大型底栖动物群落结构。调查显示象山港大型底栖动物不同采样站位之间物种丰富度指数(d)、均匀度指数(J)、辛普森多样性指数(D)和香农-威纳多样性指数(H’)差异皆高度显著(P0.01)。群落结构聚类分析和MDS标序表明,13个采样站位的大型底栖动物群落大致可分为3组。根据所调查象山港大型底栖动物的丰度和生物量资料做的ABC曲线分析表明,该海域大型底栖动物群落受到了严重的环境污染或者扰动,逐渐由一种或几种个体较小的种类占优势。     

象山皇城海滩稳定性分析与防护对策

以浙江岬湾砂质海岸象山皇城海滩为例,运用抛物线模型,分析得出皇城海滩的冲淤演化动态,并通过历史岸线形态对比探讨皇城海塘对其的影响,最终提出防止海岸侵蚀的对策。研究结果表明,皇城海滩北部有一定的侵蚀,其平面形态还未达到静态平衡,处于不稳定状态;皇城海滩北段海塘修建得过于靠海,致使海滩最重要的泥沙补给源——后滨沙丘被阻断,甚至消失,同时大潮水位可直接淹没海塘堤脚,加上海塘前为近破波,滩面水流和泥沙运动剧烈,最终导致堤前滩面的冲刷。基于此,防止海岸侵蚀的最佳对策是在拆除、重建海滩北部部分海塘后再进行适当的海滩养护。通过对皇城海滩的稳定性研究,了解海塘建设的影响,可为浙江岬湾海滩资源的合理开发、海岸防护工程建设提供一定的科学依据。     

用于海洋环境科学的一种新方法--影响因子分析法

用影响因子法对象山港海域叶绿素a与海水理化因子之间关系分析,结果表明：水温、溶解氧(DO)、气温、盐度、化学耗氧量(COD)因子为叶绿素a浓度变化的重要有效影响因子,其中水温、溶解氧因子占主导地位。由于该海域的富营养化,N、P和Si营养盐已经不再是影响浮游植物生长的有效因子。在特定海域资料有限的情况下,影响因子法比普通的相关和灰色系统分析更具有透明性,能够有效剔除无效因子,定量表达各理化因子对叶绿素a的影响程度。用影响因子法可以明确地判断出特定海域各海水理化因子对叶绿素a影响的主次程度及其有效性,从而定量确定出影响叶绿素a浓度的主要因子。     

基于高通量测序的象山港水域细菌多样性的研究

象山港位于浙江省宁波市东南部沿海,属于半封闭式海湾,是以海水养殖区和海洋牧场示范区为主的重要多功能水域,近年来生态环境问题日益突出。为研究象山港海域在早春低水温环境中细菌的多样性,通过高通量测序方法对3月份的象山港水域进行检测。沿象山港南部海湾随机选取6个取样点(G04,G06,G08,G09,G011,G012),共检出836属和2 166种细菌,隶属33个门、91纲、186目和352科。其中优势细菌类群主要包括变形菌门(Proteobacteria)、拟杆菌门(Bacteroidetes)、放线菌门(Actinobacteria)、厚壁菌门(Firmicutes)和蓝细菌门(Cyanobacteria)。变形菌门在G04中占比最高(91.45%),拟杆菌门在G09中占比最高(18.05%);而放线菌门在G12中占比最高(7.95%)。在经度较高且离海岸较远的水域,细菌丰富度也越高;同时随着取样位点纬度的增加,γ-变形菌丰度逐步增高,其中在G04中最高(72.76%),在G12中最低(29.11%)。各取样点的细菌分离培养结果也表明弧菌属丰度较高,且主要集中在G04中。利用高通量测序方法揭示了象山港早春全水域的细菌结构组成框架图,可为象山港的水产养殖和可持续发展提供参考依据。     

Tide-induced Lagrangian residual velocity and dynamic analysis based on field observations in the inner Xiangshan Bay,China

In the Xiangshan Bay at the east coast of China, coastal marine pollution is conspicuous and severe in recent years. As transport of the pollutants is closely related to the coastal circulation, there is a great practical significance to investigate the circulation in this area. In this work, the surface pattern and vertical profiles of Lagrangian residual velocity (LRV) were studied based on field observation data from the inner Xiangshan Bay. By tracking GPS-GPRS drifters’ trajectories, the surface LRV pattern is going out in the central deep trough and flowing inwards near the shoreside. Combined with data from two mooring stations, vertical profiles of LRV is flowing out at surface and flowing in at the bottom, consistent with the gravitational circulation induced by baroclinic effects at the estuary. However, according to the diagnostic analysis, the main mechanism driving the residual current is barotropic rather than baroclinic. The LRV equation is controlled by the tidally-averaged barotropic pressure gradient force, tidal body force and tidally-averaged turbulent stress, while the tidally-averaged baroclinic pressure gradient force is one order of magnitude less than other forces. Additionally, the tidally mean eddy viscosity coefficient which is used in the expression of tidally-averaged turbulent stress might be not adequate and requires further studies.     

象山港海域分区评价方法研究

文章根据2011-2018年在象山港海域调查的象山港水文、水团、水环境、沉积物环境、生物生态等调查数据,将象山港海域划分为若干个具有不同生态变化特征的区域,研究象山港海域内的空间异质性,以便剖析各区域环境的问题。研究发现：象山港水交换特征、水团分布、水环境、沉积环境和生物生态特征将象山港划分为A、B、C、D、E 5个区评价较为合理。该方法可以有效并合理地对象山港海域做出评价,并为相关海洋科学工作者和管理者提供科学依据。     

象山港氮、磷营养盐环流和分布规律的研究

采用定点监测分析方法,研究了象山港狭湾内设置的六个固定站位1992-2007年时间段内的硝酸氮(NO3-N)、亚硝酸氮(NO2-N)、铵氮(NH4-N)和磷酸盐(PO4-P)浓度的监测数据,探讨了象山港狭湾内(122°00'E以西)氮、磷营养盐的环流和分布规律.结果表明,(1)除个别年份外,16年内硝酸氮、亚硝酸氮、铵氮和磷酸盐浓度的空间分布,从港顶1号站向港口6号站呈降低趋势,其中以PO4-P、NO2-N的降低趋势最为明显,而NH4-N的降低趋势相对较弱.(2)NO3-N的空间变化规律较为复杂,并且3号站的浓度往往达到最大值.(3)无论是平水期(4月)还是丰水期(7月),表层盐度均低于底层,而表层温度高于底层;盐度从港顶1号站向港口6号站递增,而温度递减.这种分布规律基本上可用余环流模式进行解释,但余环流输运并不是促使营养盐入海的唯一原因,潮振荡的垂向剪切造成的纵向弥散和潮混合亦对营养盐输运有重大贡献.(4)与1992年相比,2007年各站的NO3-N浓度几乎都增加了一倍,PO4-P浓度增幅更大,说明象山港的氮、磷污染与日俱增.     

Infaunal burrow ventilation and pore-water transport in muddy sediments

The ventilation of burrows by tube-dwelling benthos is understood to be important in determining rates of exchange of solutes between the sediment and overlying water. However, few models have attempted to link the burrow ventilation behavior of tube-dwelling organisms with their geochemical consequences. The classic cylinder model of bioirrigation in muddy sediments (Aller, R.C., 1980. Quantifying solute distributions in the bioturbated zone of marine sediments by defining an average microenvironment. Geochimica et Cosmochimica Acta 44, 1955–1965) links pore-water processes and burrow sizes and distributions in the sediment by assuming that burrows are fully flushed. The equivalence between the cylinder model and the more commonly used one-dimensional non-local exchange model depends upon this assumption. However, this assumption has seldom been tested in the field. We have extended the cylinder model of bioirrigation to include burrow ventilation activities of organisms. Burrow ventilation is modeled as a simple non-local exchange of burrow water with overlying water. Model simulations indicate that burrow ventilation has a large effect on vertical profiles and fluxes of solute tracers. We collected data on burrow geometry in the field by CT-scanning freshly collected sediment cores. At the same study sites, we measured activity profiles of ²²²Rn, a naturally occurring radionuclide tracer of pore-water transport. With model geometry independently constrained, we tested the model by comparing our model-predicted profiles with measured profiles. Our results demonstrate that burrows in the field are not fully flushed. Our estimated burrow ventilation rates compare favorably with previous laboratory measurements. The inclusion of realistic burrow ventilation in this pore-water transport model strongly affects modeled solute profiles and fluxes. We demonstrate how model parameters can be determined from field samples and present a model that more realistically simulates pore-water transport processes in muddy sediments.