上海天文台GPS掩星技术研究现状

简要地介绍了GPS／LEO卫星无线电掩星技术的基本原理、意义以及国际上的最近动态，列举了几个主要的LEO卫星计划；重点分析了GPS掩星探测地球大气技术中需要注意的若干问题，并推出可能采取的改进方案和相应的技术路线。上海天台在GPS／LEO空基气象学中已经成功地提出：通过通约LEO／GPS轨道方法，实现掩星地面观测点控制的新思路。作为一个应用实例，针对东中国海洋上空大气状况对中国东部经济发达的地区特别是上海地区的天气有着重要影响的背景，提出利用通约LEO／GPS卫星可对该地区大气实施监控。为了充分利用GPS／LEO掩星观测资源，上海天台开展了振幅反演的计算方法研究；提出了在振幅反演中存在着无线电信号几何衰减和物理衰减两种不同的衰减机制，并考虑了它们的数学模型以及对反演结果的影响。简要地叙述了掩星质量因子的定义和计算方法。作为国内天地球动力学研究中心，上海天台将与国内外一些合作单位考虑建立GPS／LEO掩星技术观测处理的软件系统。作为空基GPS气象学的推广，还考虑进行山基和飞机载掩星观测实验，论证用这些方法监测局部大气剖面的可行性以及它们在国民经济和科学研究上的作用。     

类太阳色球活动星εEri磁场的观测研究

本文给出１９９３—１９９４年期间，用云南天文台１米望远镜折轴摄谱仪观测获得类太阳色球活动星。εＥｒｉ的５个波段高分辨、高信噪比光谱，运用两种不同方法：谱线轮廓塞曼致宽分析和多重线统计分析法成功地测定了εＥｒｉ的表面磁场强度和磁场的覆盖因子，并对这两种磁场测定方法作了简单的讨论．     

海洋科技人才与成果的摇篮——青岛海洋大学

青岛海洋大学是一所以海洋和水产学科为特色的重点综合大学。1999年11月，经国家批准，成为“九五”期间“211工程”重点建设高校。数年来，青岛海大致力于“211工程”建设，在物理海洋学、水产养殖学、海洋药物学和海洋化学学科4个重点学科建设中取得丰硕成果。     

胜利油气区有机包裹体研究及其在油气勘探中的应用

应用显微光度术、显微傅立叶红外光谱（Ｍｉｃｒｏ－ＦＴ．ＩＲ）和飞行时间二次离子质谱（ＴＯＦ－ＳＩＭＳ）等原位微分析技术并结合均一温度测量对胜利油气区下第三系沙河街组沙三段中有机包裹体进行了研究。区分出两类有机包裹体，即原生有机包裹体和次生有机包裹体。结果表明两类有机包裹体特征不同，二者物质组成、有机质成分及化学结构、热演化程度等差别也较大。结合地质分析表明原生有机包裹体是沙三段烃源岩生成烃类运移产物，具“自生自储”特点，而次生有机包裹体是沙四段烃源岩生成的烃类二次运移的产物。沙三段是沙河街组油气运移和聚集的主要层位，因而是寻找油气资源的主要目标层。研究表明，有机包裹体是研究油气生成、运移、聚集和演化等成藏系统最有效的手段之一，在油气勘探中有重要的应用意义。     

富碳拱星IRC＋10216和CIT6的CO J=1—0转动谱的观测

使用中国科学院紫金山天文台青海站13.7米射电望远镜于1996年12月至1997年1月对富碳拱星IRC 10216和CIT6的CO J=1-0跃迁(115GHz)进行了观测。在观测谱线的基础上得到了IRC 10216的视向速度和膨胀速度分别为一26.1km s~(-1)和14.8km s~(-1),CIT6的视向速度和膨胀速度分别为0.6km s~(-1)和13.8kms~(-1)。并对望远镜的射束及指向精度进行了研究。     

Silicon limitation on primary production and its destiny in Jiaozhou Bay, China——Ⅳ：Study on cross-bay transect from estuary to ocean

The authors analyzed the data collected in the Ecological Station Jiaozhou Bay from May 1991 to November 1994, including 12 seasonal investigations, to determine the characteristics, dynamic cycles and variation trends of the silicate in the bay. The results indicated that the rivers around Jiaozhou Bay provided abundant supply of silicate to the bay. The silicate concentration there depended on river flow variation. The horizontal variation of silicate concentration on the transect showed that the silicate concentration decreased with distance from shorelines. The vertical variation of it showed that silicate sank and deposited on the sea bottom by phytoplankton uptake and death, and zooplankton excretion. In this way, silicon would endlessly be transferred from terrestrial sources to the sea bottom. The silicon took up by phytoplankton and by other biogeochemical processes led to insufficient silicon supply for phytoplankton growth. In this paper, a 2D dynamic model of river flow versus silicate concentration was established by which silicate concentrations of 0.028–0.062 μmol/L in seawater was yielded by inputting certain seasonal unit river flows (m³/s), or in other words, the silicate supply rate; and when the unit river flow was set to zero, meaning no river input, the silicate concentrations were between 0.05–0.69 μmol/L in the bay. In terms of the silicate supply rate, Jiaozhou Bay was divided into three parts. The division shows a given river flow could generate several different silicon levels in corresponding regions, so as to the silicon-limitation levels to the phytoplankton in these regions. Another dynamic model of river flow versus primary production was set up by which the phytoplankton primary production of 5.21–15.55 (mgC/m²·d)/(m³/s) were obtained in our case at unit river flow values via silicate concentration or primary production conversion rate. Similarly, the values of primary production of 121.98–195.33 (mgC/m²·d) were achieved at zero unit river flow condition. A primary production conversion rate reflects the sensitivity to silicon depletion so as to different phytoplankton primary production and silicon requirements by different phytoplankton assemblages in different marine areas. In addition, the authors differentiated two equations (Eqs. 1 and 2) in the models to obtain the river flow variation that determines the silicate concentration variation, and in turn, the variation of primary production. These results proved further that nutrient silicon is a limiting factor for phytoplankton growth. This study was funded by NSFC (No. 40036010), and the Director's Fund of the Beihai Sea Monitoring Center, the State Oceanic Administration.     

宁波商帮的海洋文化情结

宁波商帮是我国十大商帮之一 ,百年经久不衰 ,究其原因是宁波商帮受到独特的宁波城市文化熏陶。宁波得天独厚的海洋优势 ,造就了有悠久历史凝结和中外文化交融的宁波海洋文化。海洋文化是一种先进的文化 ,具有大海的许多秉性 :大度、创新、包容。宁波城市文化把中国传统的儒家文化和宁波海洋文化很好地结合起来。正是这种独特的宁波城市文化 ,才哺育出顽强开拓、勇于创新 ,克勤克俭、脚踏实地 ,注重团队、和衷共济的“宁波商帮精神”。     

Statistical analysis of surface hydrography and circulation variations in northern South China Sea

1 INTRODUCTIONThe South China Sea (SCS) is a semi-enclosedmarginal sea in western North Pacific Ocean withvery complex topography and is the important pas-sage connecting the Pacific and Indian Oceans. Ithas great impact to the global climate and a greatinterest of many oceanography researchers. Twodominant surface hydrographic and circulation fea-tures in the northern SCS are a strong fresh waterexpansion and a warm and high-salinity seawaterintrusion such as the SCS Diluted Water…     

Be星LQ And和EM Cep的快速光变

UBV photometric observations of LQ And and EM Cep were made with 60 cm telescope at Beijing Astronomical Observatory from 1990 to 1992. Some results are briefly summarized as follows:(1) LQ And317 data sets have been obtained. HR9011 was used as the comparison star. Combining these data with some published VBV measurements of secured during 1983-1988, an improved period of light variation has been derived, and a new ephemeris for minimum light has been suggested:T min. light = HJD 2445621.5964 0.309418 × E.(2) EM Cep277 data sets have been obtained. HD208218 was used as the comparison star. With these data a minimum light time base been derived at HJD 2448912.0452. Combining this value with all published previously, an improved linear ephemeris has been derived with a rms of 0.01382:T min. light = HJD 2440134.7338 0.8061840 x EIt is of interest to note that there is also a possibility of decrease tendency of the period. We have derived an ephemeris by using a binomial fitting with a rms of 0.01155: