Bulk particulate organic carbon in the East China Sea: Tidal influence and bottom transport

Five oceanographic surveys were carried out in the East China Sea (ECS) and Yellow Sea from 1999 to 2003. In all, seven different sections were surveyed, but one section (the PN section) was observed on every cruise. Two time-series stations were also surveyed, one located at the Changjiang River mouth, the other over the continental shelf in the PN section.We identified biogeochemical characteristics for waters close to the Changjiang Estuary and in the Kuroshio waters (KW), respectively. Resuspension is a strong feature near bottom over the ECS continental shelf, with suspended matter values 13 times higher than that for the surface. A model of particulate organic carbon (POC) dynamics based on a rectangle equation reveals that POC concentration close to the Changjiang Estuary varies with a semidiurnal period of ∼13 h, coinciding with the tidal period. The upper limit for POC residence times in the seasons we covered over the shelf are estimated to be on the order of weeks and generally increase seaward from near the Changjiang Estuary to the KW. Short POC residence times suggest that POC in the ECS is rapidly exported from euphotic waters.A nepheloid layer, observed as elevated suspended matter in near the bottom of the water column, is important in particle transfer over the shelf, especially in winter when the residual current flows mainly eastward. Cross-shelf transport of POC via the nepheloid layer is estimated to be 0.22 × 10¹² g yr⁻¹. Comparison with other work indicates that POC transport is ∼2% of the Changjiang POC input.     

北黄海盆地区域地质特征

北黄海盆地位于黄海的北部，由于勘探程度低，研究投入少，使得它成为我国迄今为止尚未发现油气的惟一海区。随着我国在南黄海盆地和朝鲜在北黄海盆地东部发现油气，如何实现北黄海盆地油气突破，成为我们研究的焦点。结合该区现有资料和前人研究成果，对北黄海盆地的地球物理场和地质构造特征进行了全面的论述，并在此基础上，对该区油气资源远景作了初步评价。     

Preliminary optical classification of lakes and coastal waters in Estonia and south Finland

A preliminary optical classification of lakes in Estonia and south Finland which can also be used for small bays of the Baltic Sea is elaborated. The classification is based on the optical properties of water (diffuse attenuation coefficient, diffuse reflectance) and parameters that are routinely monitored in water bodies (Secchi depth, concentration of chlorophyll-a, total suspended matter and yellow substance). The data complex used for our classification covers different types of water ecosystems (ranging from oligotrophic to hypertrophic) and the variability of water constituent concentrations in the ice-free period in Estonia and south Finland. Using cluster analysis, we found 5 optical classes of waters: clear (C), moderate (M), turbid (T), very turbid (V) and brown (B). There is satisfactory correspondence between class of water, shape of diffuse attenuation coefficient and diffuse reflectance spectra and trophic state of the lakes.     

离子色谱分析在黄土和粉尘研究中的应用

黄土中存在着大量的碱金属及碱土金属，以往的测试方法多为原子吸收和ICP—MS，离子色谱法在测试黄土样品的碱金属和碱土金属元素含量中应用不多。将黄土地质标准样品进行消解后用离子色谱进行测试，测试效果良好，重复测试的相对标准偏差小于5％，与推荐值的相对误差小于5％，准确度和精密度符舍相关的质量控制要求。本实验方法测试的离子含量都在仪器响应呈线性的最佳测试范围之内，标准曲线经回归后相关系数均达到0．9999。黄土样品的分析结果与粉尘气溶胶样品的离子分析结果对比表明，此方法对于探讨粉尘起源以及沙尘暴天气的研究具有重要意义。     

大亚湾微表层和次表层海水营养盐的研究

根据1998年秋季（10、11月）、1999年春、秋季（4、5、10月）5个航次对大亚湾海区微、次表层的调查结果，分析了微表层海水对氮、磷、硅营养盐的富集概况，讨论了营养盐与环境因子的关系。结果表明：大亚湾海区微表层海水对氮、磷、硅营养盐均有富集作用，因海况及季节不同，富集因数（EF）与其他海区的有所差别；无论夏季或秋季，大亚湾海区微表层海水中无机氮都以NH4－N为主要存在形态；其余水层则以NO3－N为主要存在形态。结果还表明，微表层、次表层海水中NH4－N与BOD5、COD测值都呈高度显著正相关，与PO4－P和SiO3-Si含量均无相关，说明大亚湾海区水中含氮有机物较含磷有机物丰富。     

利用X射线衍射测定单斜辉石中硬玉组分含量

硬玉是单斜辉石中十分重要的端元组分,是单斜辉石分类的主要基础。利用x射线衍射分析确定的硬玉组分含量计算式为Jd(％)=[A-2.235]×25.741,其中Jd为硬玉组分百分含量,A为2—Theta角为30°(d=2.97)时峰值的相对强度Ⅰ与半高宽的乘积,其计算误差仅6.32％。     

雌雄比对海带雌配子体发育的影响

本实验进行了不同雌雄比对海带雌配子体发育的影响。结果表明：雌雄比(鲜重)为1：1及2：1，实验组出现排卵时间最早，且发育率高，实验第20天，发育率超过70％，孢子体正常。5：1，10：1，20：1实验组随着雄性比例的减少，发育率逐渐降低，随着培养天数的增加，三个实验组均出现未受精卵及畸形孢子体，雌雄比越大，未受精卵数目越多。     

南澎列岛及邻近海域地质地貌与灾害地质分析

南澎列岛及邻近海域是广东沿海灾害地质因素较集中和类型较齐全的地区之一。根据野外调查资料，简要地分析了区内地质地貌以及活动断裂、地震活动、地面沉降、滑坡、地裂和沙土液化等基本特征和分布规律，同时还对区内地质灾害进行了初步分析。     

渤黄东海混合层化演变规律的研究进展

较详细地综述了渤黄东海混合层化演变过程与规律的研究进展情况，主要包括：混合和层化过程的分布规律与季节变化特性，采用水温垂直剖面自相关函数的半经验预报模式，动力学和热力学的数值预报模式。