基于相位差测深声呐(PDBS)技术的莱州湾人工鱼礁探测

相位差测深声呐(Phase Differencing Bathymetric Sonar,PDBS),也被称作干涉式声呐(Interferometric Sonar),可以同步采集水深点云数据和双频侧扫声呐图像,完全适用于大范围的近海人工鱼礁探测。本文采用基于PDBS原理的Edge Tech 6205地形地貌一体化测量设备对莱州湾某海域海洋牧场投礁区进行全覆盖探测,获取了高精度水深数据以及双频侧扫声呐图像。对水深数据进行地形特征变量计算,精细刻画了研究区的微地形地貌特征,并结合侧扫声呐图像通过多数据融合实现了对鱼礁边界的精准识别。在此基础上利用地理信息系统中的空间分析方法对人工鱼礁的水下物理参数进行计算和统计,并探讨了研究区地形地貌的成因及其演化模式,最后论证了基于PDBS的近海人工鱼礁探测技术具有高效率、低成本、高精度等诸多优势。研究结果表明,研究区水深介于4.1~7.3 m,鱼礁分布区有较大的海底起伏且在礁体周围存在明显的沉降和冲刷现象;鱼礁总占地面积约占研究区的14.04%,总空方量共计2 528.22 m³,鱼礁高度介于1.26~3.63 m且呈正态分布。本研究为近海人工鱼礁探测提供了数据和技术支撑,具有较强的实践意义。     

Tectonic Characteristics and Evolution of Bohai Bay Basin,China

Synthetical analyzing the deep geophysical data within Bohai bay basin the authors detect the deep crustal struc-ture presenting high geothermal flux, thinned crust and arched Moho discontinuity, and the basin basement belongs to rigid continental crust. The development of the basin was controlled by two - dimensional faults in NNE and NWW directions. The tectonic units of the basin can be subdivided into three structural divisions: the east, middle and west division. The basin is considered as a continental rift. The tectonic background and regional right條ateral stress field during the late Cretaceous and Paleogene were a compound result of the Kula Plate W-directional subducting under Eurasia Continental Plate in 80-74Ma and the Philippine sea Plate W-directional subducting under the Eurasia Continental Plate since 60Ma, the long -rang effect of the India Continental Plate wedging into the Eurasia Continental Plate and of the Siberia Plate SE梔irectional relatively moving.     

莱州浅滩表层沉积物重矿物分布特征及物源识别

对莱州浅滩80个表层沉积样品进行碎屑矿物分析,主要研究重矿物分布特征,并探讨其物质来源。研究表明:本区优势矿物组合为普通角闪石-绿帘石-黑云母-褐铁矿,可划分成5个矿物区。浅滩滩体(Ⅰ区和Ⅱ区)稳定矿物(以榍石、石榴子石为主)含量高。浅滩北部顶端(Ⅱ区)金属矿物类分布集中,褐铁矿含量近1/3;浅滩两侧(Ⅲ区和Ⅳ区)为云母类高值区。浅滩西侧海域(Ⅳ区)含大量自生黄铁矿,为还原性沉积环境;浅滩西北(Ⅴ区)重矿物含量最高,优势矿物组合为普通角闪石-绿帘石-石榴子石。依据重矿物种类和矿物组合特征,结合陆源近岸河道及黄河沉积物矿物特征,研究显示:浅滩滩体沉积物主要为近岸河流输送,而浅滩两侧沉积物是双重来源,既来自陆地近岸又来自黄河物质向东的输送。矿物区的变化反映了该区水动力的复杂性。重矿物分布特征对研究本区海洋动力环境和探讨浅滩物源都有重要意义。     

莱州湾南岸不同土地利用和土地覆被下土壤盐分含量特征

运用经典统计学和地统计学的方法研究了莱州湾南岸地区不同土地利用和土地覆被下土壤盐分含量的特征及分布情况。研究结果表明：不同空间位置不同层位的土壤盐分含量差异性较大;土壤盐分含量表现出盐田＞棉花＞林地＞杂草＞大豆＞玉米的现象;除林地60～90 cm土壤盐分变异系数具有强变异外,其它各层土壤盐分含量均具有中等变异性;表层土壤盐分含量具有中等空间自相关性,其它土层土壤盐分含量具有强的空间自相关性;研究区各层土壤盐分的空间分布均表现出条带状和斑块状格局,以轻盐渍化和中度盐渍化为主。     

莱州湾凹陷东部新生代走滑构造特征及油气勘探意义

莱州湾凹陷位于渤海南部海域,为中生界基底之上发育的新生代半地堑.郯庐断裂带分东西两支穿过莱州湾凹陷东部,在新生代盖层中表现出渤海最复杂最典型的为NNE向的右旋走滑断裂特征.其中东支断裂在渐新世以后活动强烈,发育多条NNE向走滑断层及NE向伴生断层组成的复杂断裂带.走滑断裂带内断层展布符合右旋单剪作用下的脆性走滑剪切模式,地震方差切片存在右旋运动拖拽断裂证据.通过对主断裂活动期次分析表明,研究区主要有三期大的构造活动,同时形成了三期构造反转.应力分布的局域性导致了形变特征的差异性,产生了褶皱、挤压反转、掀斜断块、花状构造等典型的构造类型.研究区首次利用三维地震资料对本区构造特征进行了分析,研究认为走滑活动形成了良好的构造背景、优越的油源及运移等成藏条件,具有较大的油气勘探潜力.     

大亚湾养殖区沉积物–水界面氮磷的释放通量及其在水体中的扩散迁移

为了更好地跟踪水产养殖活动对海湾水环境的影响,于2011年10月采集了3个具有代表性的大亚湾海域水产养殖区的水样和底泥样品,研究了底泥含水率、孔隙率、密度以及孔隙水中的氨氮和可溶活性磷酸盐的垂直分布。采用经典的Fick定律,计算了氮和磷在沉积物-水界面的释放速率和年释放量。基于环境水力学理论,应用水平二维数学模型,计算了氮和磷在沉积物-水界面释放之后在海水中的扩散迁移时空分布。结果表明,澳头、深水港、虎头门采样点沉积物-水界面的氨氮年释放量分别为13.5、5.2、0.56t·a-1,可溶活性磷酸盐的释放量分别为0.34、0.03、0.02t·a-1,使水产养殖区域沉积物成为极具潜力的污染内源。释放到海水中的氮和磷受潮流、风、水深的影响,其扩散迁移范围呈长条形带状分布。每个养殖区域的污染带长度约为1km,横向宽度约为50m。该区域的海水极易呈富营养化状态。     

Diagnostic model construction and example analysis of habitat degradation in enclosed bay: I. diagnostic model construction

Presently, research is lacking regarding the diagnosis and evaluation of habitat degradation in enclosed bay systems. We established a diagnostic model for enclosed bay habitat degradation （EBHD model） using a multi-approach integrated diagnostic method in consideration of driving force-pressure- state-influence-response. The model optimizes the indicator standardization with annual average change rate of habitat degradation as the basic element, to reflect accurately the impact of the change and speed of degradation on the diagnostic results, to quantify reasonably the contribution of individual diagnostic indicator to habitat degradation, and to solve the issue regarding the influence of subjective factors on the evaluation results during indicator scoring. We then applied the EBHD model for the Sansha Bay in Fujian Province, China, evaluated comprehensively the situation of habitat degradation in the bay, and screened out the major controlling factors in the study area. Results show that the diagnostic results are consistent in overall with the real situation of the study area. Therefore, the EBHD model is advantageous in terms of objectivity and accuracy, making a breakthrough in diagnosis and evaluation for habitat degradation in enclosed bay systems.     

Diagnostic model construction and example analysis of habitat degradation in enclosed bay: II. spatiotemporal variations in habitat degradation in Sansha Bay

The process of habitat degradation varies in habitat type and driving force which shows certain spatial and temporal heterogeneity on regional scales. In the present study, a new diagnostic model for enclosed bay habitat degradation was established, with which the spatial and temporal variation patterns of habitat degradation during 1991–2012 in Sansha Bay, Fujian, China was investigated. The results show that anthropogenic disturbance is the major controlling factor for the habitat degradation in large temporal heterogeneity in the bay. On the other hand, the habitat degradation experienced signifi cant spatial variations among six sub-bays. Under the joint action of temporal and spatial heterogeneity, the degradation trend in growing scale shows a more signifi cant correlation with the distribution of local leading industries along shorelines. Therefore, we quantifi ed the main characters of habitat degradation in Sansha Bay, and have understood the relationship between the status of habitats spatio-temporal variation value and the main controlling factor leading to the changes. However, a defi ciency of this research is the lack of or inaccessible to the detailed data, which shall be better solved in the future study for accessing more data from more sources.     

Numerical Simulation of Nutrient and Phytoplankton Dynamics in Guangxi Coastal Bays,China

The increasing riverine pollutants have resulted in nutrient enrichment and deterioration of water quality in the coastal water of Guangxi Province, China. However, the quantitative relationship between nutrient loads and water quality responses, which is crucial for developing eutrophication control strategies, is not well studied. In this study, the riverine fluxes of nutrients were quan- tified and integrated with nutrient cycling and phytoplankton dynamics by using box models for Guangxi coastal bays. The model concepts and biogeochemical equations were the same; while most model parameters were specific for each bay. The parameters were calibrated with seasonal observations during 2006--2007, and validated with yearly averaged measurements in 2009. The gen-eral features of nutrient and phytoplankton dynamics were reproduced, and the models were proved feasible under a wide range of bay conditions. Dissolved inorganic nitrogen was depleted during the spring algal bloom in Zhenzhu Bay and Fangcheng Bay with relatively less nutrient inputs. Phosphorus concentration was high in spring, which decreased then due to continuous phytoplankton consumption. Chlorophyll-a concentration reached its annual maximum in summer, but was the minimum in winter. Eutrophication was characterized by both an increase in nutrient concentrations and phytoplankton biomass in Lianzhou Bay. Either about 80% re-duction of nitrogen or 70% reduction of phosphorus was required to control the algal bloom in Lianzhou Bay. Defects of the models were discussed and suggestions to the environmental protection of Guangxi coastal bays were proposed.     

Identification of source of a marine oil-spill using geochemical and chemometric techniques

The current work aimed to identify the source of an oil spill off the coast of Maranhão, Brazil, in September 2005 and effect a preliminary geochemical survey of this environment. A combination of bulk analytical parameters, such as carbon isotope (δ¹³C) and Ni/V ratios, and conventional fingerprinting methods (High Resolution Gas Chromatography and Mass Spectrometry) were used. The use of bulk methods greatly speeded source identification for this relatively unaltered spill: identification of the likely source was possible at this stage. Subsequent fingerprinting of biomarker distributions supported source assignment, pointing to a non-Brazilian oil. Steranes proved the most useful biomarkers for sample correlation in this work. Distribution patterns of environmentally more resilient compound types, such as certain aromatic structures, proved inconclusive for correlation, probably in view of their presence in the background.