硅酸盐熔体微结构单元的探讨

为了深入了解熔融硅酸盐的各种性质，综合前人的资料并结合自己的实验结果，对硅酸盐熔体中的微结构单元进行了探讨。熔体中包含5种不同的硅氧四面体(以Qn表示，n为四面体中的桥氧数目)，不同的硅氧键中的电荷分布以及Qn在Raman谱图中的特征位移区有区别，熔态谱和玻璃态谱之间也存在差别，同组成熔体和淬冷玻璃中，同一Qn具有不同的摩尔分数、自由能和无序度，并且熔体中Q4的振动是非Raman活性的。     

滇东北乐红铅锌矿床地质特征及找矿远景

乐红铅锌矿自20世纪50年代以来就有多家地勘单位先后进行过普查找矿，均以“层控”观点为指导没有进展而中途下马，90年代后期，云南第一地质大队以“构控”新思路开展新一轮找矿，获得突破性进展。在研究区域成矿地质背景、矿床地质特征及控矿地质因素的基础上，认为矿床为受断裂构造控制的热液充填交代型铅锌(银)矿床，并根据控矿断裂特征及成矿地质条件，指出乐红矿区及外围具有形成大型矿床的找矿远景，应该加强该区的地质找矿工作。     

吴山渡——浙西天目山第四纪冰川的见证地

本文应用吴山渡地区供水水文地质实际勘查资料，对吴山渡冰碛层的空间分布特征、地层特征、物源特征等进行了阐述，认为吴山渡地区现代河谷是直接发育于冰川槽谷之上的。文章最后还对天目山第四纪冰川专门调查提出了建议。     

福建龙永煤田二叠纪(竹蜓)生物带的面貌特征与对比

研究地层是有效寻找沉积矿产的重要基础,将龙永煤田内关于的层位及分带性与大区域上的相似层位作了对比,并论述了本煤田的特征与变迁的基本过程。最后,结合多年来的研究成果,就煤田内的产出情况,作了两点必要的说明。     

Geological outline of the Alps

The Alps were developed from the Cretaceous onwards by subduction of a Mesozoic ocean and collision between the Adriatic (Austroalpine-Southalpine) and European (Penninic-Helvetic) continental margins.The Austroalpine-Penninic wedge is the core of the collisional belt, a fossil subduction complex which floats on the European lower plate. It consists of continental and minor oceanic nappes and is marked by a blueschist-to-eclogite-facies imprint of Cretaceous-Eocene age, followed by a Barrovian overprint. The collisional wedge was later accreted by the Helvetic basement and cover units and indented by the Southalpine lithosphere, which in turn was deformed as an antithetic fold-and-thrust belt.     

重塑非饱和粘土抗剪强度参数与饱和度的关系研究

土的饱和度是基于水分状态和密度状态的一个衍生变量。存在因应水分状态变化和因应密度状态变化的两类饱和度变化过程。根据23组不同水分状态和密度状态的UU三轴压缩试验结果,讨论了重塑非饱和粘性土抗剪强度参数与饱和度的关系。数据分析表明:粘聚力与水分状态相关的饱和度的关系是强非线性的,与密度状态相关的饱和度的关系是准线性的。内摩擦角与水分状态相关的饱和度的关系是强非线性的,与密度状态相关的饱和度的关系是弱非线性的。     

Spatial Database Management System of China Geological Survey Extent

The spatial database management system of China geological survey extent is a social service system. Its aim is to help the government and the whole social public to expediently use the spatial database, such as querying, indexing, mapping and product outputting. The management system has been developed based on MAPGIS6. x SDK and Visual C , considering the spatial database contents and structure and the requirements of users. This paper introduces the software structure, the data flow chart and some key techniques of software development.     

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.     

用卫星高光谱数据提取江西德兴铜矿矿山废水的pH值污染指标

在对德兴铜矿矿山废水的光谱特征深入分析研究的基础上,总结了不同类型水体(酸性水、碱性水以及河流水)的特征光谱,并利用地物谱特征开展矿山废水pH值污染指标提取研究。针对水体光谱反射率低、特征光谱不明显的特点,采用矿区卫星Hyperion高光谱数据,应用ISA算法和掩膜技术识别出水体分布并进一步与MNF变换有效结合,根据波段散点图进行不同pH值水体的有效分割。为矿山废水污染的诊断和监测提供了新技术和理论支撑。