对青藏东北缘现今块体划分、运动及变形的初步研究

利用2维非连续变形分析方法（DDA），以位移代替围压作为边界约束力，研究青藏东北缘现今块体划分及其运动变形。根据该地区地质构造及地震活动，以GPS点测量位移作为模拟结果约束点，得出了较合理的块体划分模型和随时间演化的主应变分布图，并把应变高值区与近几年来发生的5级以上地震作对比，得出了研究区内地震危险性可能较大的区域。另外，对模拟的甘青块体与阿拉善块体的边缘带断裂左旋运动做了大概计算。     

试论省（区）国土资源地图集的编制原则

编制省(区)国土资源地图集和编制其它地图集一样,是一项复杂的系统工程,由总体设计系统、编辑试验系统、编绘实施系统、制印生产系统组成,这些阶段或分系统都是密切相关、相互影响的。要完成这样复杂的系统工程,需要科学的理论指导,使用先进的技术方法和合理有效的组织领导。其中最根本的是用统一的设计思想,进行系统的分析和设计,通过总体设计系统把复杂的各种工序变为众多参加者的具体作业,把各种具体作业纳入总体设计思想,以便完成一部高质量的地图集。因此总体设计是编制地图集的基础工作,而明确图集的编制原则又是图集总体设计的重要组成部分。下面结合甘肃省国土资源地图集的编制实     

玛多黄河源区生态环境治理:任重道远

黄河,发源于青藏高原巴颜喀拉山北麓。玛多县境是黄河源区的主要片区,这里因处于三江源区青藏高原腹地及其特殊的地理位置和高寒多风干旱的气候,生态环境十分脆弱。近20年来,由于大气环境的逐渐变暖和人类活动的加剧如草原开发和过牧等因素,玛多县境内黄河河段、湖泊、湿地及草     

旗舰的绿色动力定位——“中国海监83”船（二）

船载直升机保障系统为了增强海监在海上的执法能力,扩大巡航区域,提高应急反应速度,“中国海监83”船上专门设计建造了直升机船载系统,为1架Z9型海监直升机搭载、起降提供了条件。直升机船载系统由调度指挥系统、起降系统、喷漆燃料及加油系统、消防灭火系统、维修保养系统组成     

电离氢区S140,S141和S142的红外发射研究

本文使用红外天文卫星（IRAS）巡天数据的最新版本IRAS天空巡天图（ISSA），经过进一步处理，得到了S140S141和S142SharplessHII区－分子云复合体的红外发射强度、温度及其光深的分布．在此基础上对各HII区的一些物理参量进行了统计分析，得到了分子云复合体的红外发射总光度以及复合体中尘埃的分布情况，对小尺度尘埃（VSG）的丰度进行了分析．并对各恒星形成区中的致密团块进行了研究，揭示出其中一些可能的恒星形成区域．同时，对S140区中的有关红外点源作出了能谱分析，并对S141区的激发星进行了讨论．     

几个活动区精细H_α结构的物理浅析

本文利用紫金山天文台赣榆站太阳精细结构望远镜拍得的高分辨率色球Ｈ_α照片，分析了三个典型活动区。文中利用并检验了七十年代获得的磁图推导法则，应用自己的数值模拟知识和Ｚｗａａｎ对ＡＦＳ系新浮流区概括的特征，参考七十和九十年代总结的有关耀斑和ＥｌｌｅｒｍａｎＢｏｍｂ的出现规律，逐日分析活动区发展，定出其内部的中性线位置，提出简单和复合中性线的区分，由ＡＦＳ系和亮谱斑同时出现判断新浮流区，从近离带图找等离子体不稳定点，从远离带图找普遍的磁场流场分布，由Ｈ_α结构的综合迹象推测磁场变化。总结出有关活动区Ｈ_α结构、磁场及等离子体性质关系的几点启示。     

胶东中生代断裂花岗质岩浆带的Rb-Sr年代学及岩浆源区

胶东南部沿海中生代断裂花岗质岩浆带包含了五个岩石系列。根据各岩石系列的Rb-Sr全岩和矿物等吋线年龄(122—220Ma)可将它们划分为三个岩浆亚旋回(三叠纪、晚侏罗世和早白垩世)。利用锶同位素提供的信息与华北地区太古代变质岩系进行对比,并结合地球物理研究成果讨论各岩石系列的源区,强调岩浆是分别来自上地幔顶部和地壳深部麻粒岩相及角闪岩相岩石的部分熔融。     

太阳微波脉冲事件中原区加热的证据

本对具有一定空间分辨率（￣４＇）和高灵敏度（０．００４ｓｆｕ）特性的１３．７ｍ射电望远镜，在１．３５ｃｍ（２２ＧＨｚ）波段上观测到的两个脉冲事件前的周期性脉动和吸收现象进行了分析，并认为这种观测特征，可用源区局部区域的加热得到合理解释。     

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.