锡铁山铅锌矿地质特征、矿床成因及找矿标志

通过找矿工作的实践，认为锡铁山铅锌矿床是由火山喷流沉积—后期热液叠加改造富集的块状硫化物多金属矿床。区域上NW—SE向早古生代形成的裂谷带，三级盆地内沉积的晚奥陶世滩间山群的大理岩与绿片岩系是表区找矿的最佳区段。而绢云绿泥斜长片岩、含碳质绢云绿泥片岩、白色大理岩、条带状大理岩是铅锌矿的最重要的找矿标志。     

晋城矿区无烟煤层中泥岩夹矸的变化特征及成因探讨

通过研究无烟煤层中泥岩夹矸的岩石矿物学特征，探讨其主要成分高岭石发生转化的主要方向及影响因素。对晋城矿区实地观测，并采集一定量的标本，通过显微镜下鉴定、差热分析、X射线粉晶衍射分析、红外吸收光谱分析等研究，发现无烟煤层泥岩夹矸中高岭石主要向伊利石转化，并有伊利石-蒙脱石(I／M)混层矿物及蒙脱石出现。煤的变质程度升高、夹矸矿物转化的主要原因是区域变质作用及周围介质条件的影响。     

Inversion of receiver function by wavelet transformation

Introduction Receiver function has been extensively applied in studying S wave velocity of crust and up-per mantle for about 20 years (Owens, et al, 1987; LIU, et al, 1996), which is a time series ob-tained by the deconvolution of vertical component from horizontal component for teleseismic P waveform. Receiver function represents the teleseismic P plane wave response of crust and upper mantle beneath seismic station, from which the source and propagation effects are removed. Receiver funct…     

Lateral tidal mixing in the Antarctic marginal seas

Tidal mixing plays an important role in the modification of dense water masses around the Antarctic continent. In addition to the vertical (diapycnal) mixing in the near-bottom layers, lateral mixing can also be of relevance in some areas. A numerical tide simulation shows that lateral tidal mixing is not uniformly distributed along the shelf break. In particular, strong mixing occurs all along the Ross Sea and Southern Weddell Sea shelf breaks, while other regions (e.g., the western Weddell Sea) are relatively quiet. The latter regions correspond surprisingly well to areas where indications for cross-shelf exchange of dense water masses have been found. The results suggest that lateral tidal mixing may account for the relatively small contribution of Ross Sea dense water masses to Antarctic Bottom Water.     

地图数字化数据处理的相关平差与精度分析

根据地图数字化坐标转换方法、转换所得地面坐标平差方法 ,得到数字化数据处理的几种方案 ,对不同方案的计算结果进行比较 ,讨论了相关性对平差结果的影响 ,并对数字化数据的精度评定进行了分析     

特定基准下的异常位移诊断

针对地壳运动和变形研究中存在的位移资料的参考基准、异常位移等问题，主要讨论了位移资料特定基准的转换和异常位移诊断的数学模型——特定基准转换模型为七参数相似变换模型，转换保持了变形体内部相对位置关系不变，并使转换后的位移矢量更能体现区域内的相对运动信息；异常位移诊断采用拟准检定法(QUAD)，在选定拟准观测的情况下，使得位移真误差具有明显的分群性；模拟算例结果显示，本文采用的线性变换模型、粗差拟准检定法都表现出很好的效果。     

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。     

Stepwise Conditional Transformation for Simulation of Multiple Variables

Most geostatistical studies consider multiple-related variables. These relationships often show complex features such as nonlinearity, heteroscedasticity, and mineralogical or other constraints. These features are not handled by the well-established Gaussian simulation techniques. Earth science variables are rarely Gaussian. Transformation or anamorphosis techniques make each variable univariate Gaussian, but do not enforce bivariate or higher order Gaussianity. The stepwise conditional transformation technique is proposed to transform multiple variables to be univariate Gaussian and multivariate Gaussian with no cross correlation. This makes it remarkably easy to simulate multiple variables with arbitrarily complex relationships: (1) transform the multiple variables, (2) perform independent Gaussian simulation on the transformed variables, and (3) back transform to the original variables. The back transformation enforces reproduction of the original complex features. The methodology and underlying assumptions are explained. Several petroleum and mining examples are used to show features of the transformation and implementation details.     

Spectral and Multiscale Signal-to-Noise Thresholding of Spherical Vector Fields

The basic concepts of spectral and multiscale selective reconstruction of (geophysically relevant) vector fields on the sphere from error-affected data is outlined in detail. The reconstruction mechanism is formulated under the assumption that spectral as well as multiscale approximation is well-representable in terms of only a certain number of expansion coefficients at the various resolution levels. It is shown that spectral denoising by means of orthogonal expansions in terms of vector spherical harmonics reflects global a priori information of the noise (e.g., in form of a covariance tensor field), whereas multiscale signal-to-noise thresholding can be performed under locally dependent noise information within a multiresolution analysis in terms of spherical vector wavelets. An application of the multiscale formalism to Earth's magnetic field determination is presented.