从洛杉矶地区地震实验计划说起

简要介绍了美国洛杉矶地震实验计划(LARSE)的研究目的、科学思路以及一些重要的研究成果。受LARSE计划实践的启发，文章对我国即将开展的城市活断层探测研究思路提出了几点科学认识：①进行深浅活动构造相结合的探测，建立直到震源深度的活动断裂立体图像；②实施折射／反射相结合的综合性探测，发展高分辨折射技术，弥补数百米-数千米深度范围成像的不足；③重要的活动断层常常具有一定的规模，在空间上构成复杂的构造格局，因此，活断层探测不能局限在城市，而应在一定的空间范围中进行。     

Compression of the North Hemisphere derived from space geodesy

Introduction With the development of global tectonics and overall detections for global tectonics with multi-geophysical methods, ones can roundly study on the geological tectonics of sampling and magnetic stripe image, so as to summarize and interpret the geometrical and kinematical charac-teristics for the distribution of the ocean and the land, and spreading state of the global tectonics in a global scale. From a comprehensive view, the South and North hemispheres are clearly unsym-metrical…     

Discussion on the feature of strong earthquake: Orderly distribution in time, space and intensity before the Western Kunlun Mountain Pass M=8.1 earthquake

Introduction The Western Kunlun Mountain Pass M=8.1 earthquake occurred on November 14, 2001 is the other M=8 earthquake occurred 50 years after Dangxiong, Tibet M=8.0 earthquake in Chinese mainland. The earthquake has caused the attention of the seismologists in the following aspects: 1) The fracture length is more than 400 km, which is far away from the estimated length by the statistic empirical function between the magnitude and the fracture length (WANG, et al, 2002); 2) The aftersh…     

论层序地层学与含油气系统在油气勘探中的联系——以鄂尔多斯中生代盆地为例

虽然层序地层学与含油气系统理论的各自研究对象和研究方法不同，但由于层序地层学研究对象(沉积岩)是含油气系统研究对象(油气)的载体，二者可以由含油气盆地分析有机的结合起来。层序地层分析包含了对含油气系统的地质要素及成藏作用载体的分析，因而沉积层序的组成单元与含油气系统的地质要素有必然的联系：在一个沉积盆地的数个沉积层序中，成熟烃源岩往往是地史中具一定埋深、分布广、厚度大、有机质含量高的凝缩层，这个凝缩层往往是一个构造超层序的最大海(湖)泛面；储集岩往往是成熟烃源岩之上层序的低水位体系域或紧邻成熟烃源岩的高水位体系域；有效盖层为储集岩之上层序的水进体系域及凝缩层；成熟烃源岩之上的沉积层序为上覆岩层；低水位体系域储集岩有可能沿上倾方向尖灭，被层序界面及其上层序的水进体系域岩性圈闭；除构造裂缝外，低水位体系域下切谷可作为油气向上运移通道；一个含油气系统往往跨越不同的沉积层序甚至构造超层序。     

基于信息块法的矢量符号库的建立和符号化实现

基于试验成果，详细介绍了基于信息块法的矢量地图符号库的建立和空间信息的符号化。     

GPS测定坐标转换至地方坐标

GPS测量得到的是WGS-84中的地心空间直角坐标，而工程施工中通常使用地方独立坐标系，要求得到地方平面坐标。平面转换模型原理简单，数值稳定可靠，但只能适用于小范围的GPS测量。空间转换模型可用于大范围GPS测量，分为七参数转换和三参数转换两种。鉴于北京54坐标的大地高通常不能精确已知，对这两种参数转换方法得到的平面坐标的精度进行了比较，得出大地高精度主要表现为对高程的影响，对平面坐标影响较小的结论，同时，还讨论了七参数与三参数对转换结果的影响。     

现实空间、思维空间、虚拟空间——关于人类生存空间的哲学思考

基于空间的基本概念以及现代高新技术对人类生存空间的拓展，提出了“三类空间划分”的思想体系；分析了它们各自的特点及其相互关系；阐述了该思想体系的意义。     

观测有效性的度量方法

基于Hilbert空间理论 ,通过对观测方程的系数阵实施格拉姆_施密特 (Gram_Schmidt,G_S)正交化过程 ,分析观测的两个特性 ,从一个新的角度论证了参数估计的必要观测问题 ,以及多余观测与必要观测的关系 ;用欧氏范数‖·‖2 和Frobenius‖·‖ F 范数作为基本度量工具对观测提供参数估计的信息量进行度量分析 ,研究观测的有效性和参数估计的可靠性。采用观测空间分析方法研究了测绘学科中必要观测、多余观测等基本概念 ;提出了观测信息量、观测有效性的概念和相应的度量方法 ;从观测的空间结构出发分析参数估计系统的可靠性 ,从一个侧面扩展和丰富了测绘学中的可靠性理论 ;丰富了研究测绘学中一些基本问题的分析方法 ,也为信息学中的数据挖掘问题提供了一种分析思路     

基桩有效桩长几个问题的探讨

从离心模型试验成果、超长单桩静载试验成果、工程实践及其他学者研究成果中,论证了普通单桩存在有效桩长。深入解释了有效桩长的含义,指出了与临界桩长概念有区别。在分析目前有效桩长定义基础上,提出了合理的有效桩长定义。明确了研究普通单桩有效桩长的意义及存在的问题,并提出了在一定条件下,合理确定有效桩长就是合理设计桩长。     

Development of Geological Data Warehouse

Data warehouse (DW), a new technology invented in 1990s, is more useful for integrating and analyzing massive data than traditional database. Its application in geology field can be divided into 3 phrases: 1992-1996, commercial data warehouse (CDW) appeared; 1996-1999, geological data warehouse (GDW) appeared and the geologists or geographers realized the importance of DW and began the studies on it, but the practical DW still followed the framework of DB; 2000 to present, geological data warehouse grows, and the theory of geo-spatial data warehouse (GSDW) has been developed but the research in geological area is still deficient except that in geography. Although some developments of GDW have been made, its core still follows the CDW-organizing data by time and brings about 3 problems: difficult to integrate the geological data, for the data feature more space than time; hard to store the massive data in fifferent levels due to the same reason; hardly support the spatial analysis if the data are organized by time as CDW does. So the GDW should be redesigned by organizing data by scale in order to store mass data in different levels and synthesize the data in different granularities, and choosing space control points to replace the former time control points so as to integrate different types of data by the method of storing one type data as one layer and then to superpose the layers. In addition, data cube, a wide used technology in CDW, will be no use in GDW, for the causality among the geological data is not so obvious as commercial data, as the data are the mixed result of many complex rules, and their analysis needs the special geological methods and software; on the other hand, data cube for mass and complex geo-data will devour too much store space to be practical. On this point, the main purpose of GDW may be fit for data integration unlike CDW for data analysis.