海洋调查数据的可视化建模及实现方法

科学计算可视化作为新一代的分析工具 ,正在进入物理海洋学领域。文中介绍对海洋调查数据进行可视化的关键问题——数据建模 ,并从分析海洋调查数据的特点出发提出针对海洋研究中可视化建模的原则和有效途径 ,给出相关的实现方法。其中 ,重点讨论局部体样条建模中必须面对的区域分割优化问题 ,引入遗传算法并给出较好的解决方案。     

等高线自动绘制中断层处理的新方法

提出了一种断层处理新方法——分块法与断层恢复法合成算法，这种方法兼有分块法与断层恢复法的优点同时又克服了其不足，较好地解决了含逆断层时煤层底板等高线自动绘制及任意边界的构网问题，使绘出的等值线图误差较小，更加符合实际。     

Bayesian Spatial Modelling of Gamma Ray Count Data

Gamma ray logging is a method routinely employed by geophysicists and environmental engineers in site geology evaluations. Modelling of gamma ray data from individual boreholes assists in the local identification of major lithological changes; modelling these data from a network of boreholes assists with lithological mapping and spatial stratigraphic correlation. In this paper we employ Bayesian spatial partition models to analyse gamma ray data spatially. In particular, a spatial partition is defined via a Voronoi tessellation and the mean intensity is assumed constant in each cell of the partition. The number of vertices generating the tessellation as well as the locations of vertices are assumed unknown, and uncertainty about these quantities is described via a hierarchical prior distribution. We describe the advantages of the spatial partition modelling approach in the context of smoothing gamma ray count data and describe an implementation that may be extended to the fitting of a more general model than a constant mean within each cell of the partition. As an illustration of the methodology we consider a data set collected from a network of eight boreholes, which is part of a geophysical study to assist in mapping the lithology of a site. Gamma ray logs are linked with geological information from cores and the spatial analysis of log data assists with predicting the lithology at unsampled locations.     

T -distributed Random Fields: A Parametric Model for Heavy-tailedWell-log Data1

Histograms of observations from spatial phenomena are often found to be more heavy-tailed than Gaussian distributions, which makes the Gaussian random field model unsuited. A T-distributed random field model with heavy-tailed marginal probability density functions is defined. The model is a generalization of the familiar Student-T distribution, and it may be given a Bayesian interpretation. The increased variability appears cross-realizations, contrary to in-realizations, since all realizations are Gaussian-like with varying variance between realizations. The T-distributed random field model is analytically tractable and the conditional model is developed, which provides algorithms for conditional simulation and prediction, so-called T-kriging. The model compares favourably with most previously defined random field models. The Gaussian random field model appears as a special, limiting case of the T-distributed random field model. The model is particularly useful whenever multiple, sparsely sampled realizations of the random field are available, and is clearly favourable to the Gaussian model in this case. The properties of the T-distributed random field model is demonstrated on well log observations from the Gullfaks field in the North Sea. The predictions correspond to traditional kriging predictions, while the associated prediction variances are more representative, as they are layer specific and include uncertainty caused by using variance estimates.     

层次化网络SCADA通讯模型及其应用

为在大型网络分布式SCADA（Super Control and Data Acquisition）应用系统中解决诸如电力、通信、石油、化工、制造业等行业或领域，在过程、流程、状态方面的数据监视、数据控制、数据采集与数据管理的高效、实时问题，解决各级子系统之间人工逐级汇接的问题，提高应用系统的稳定性、可维护性，这里提出了一种层次化网络SCADA通讯模型。该模型是通过在层次化网络SCADA模型中，引入基于TCP／IP协议的客户机／服务器查询方式数据通讯技术和点对点主动数据传递技术而建立的。根据该模型所设计的产品，经过生产实践证明，应用该模型可以较方便地构造分布在不同区域计算机上的SCADA系统，进行高效的实时通信。该模型为具有多层结构的大型分布式网络化集中SCADA系统的设计、开发，探索出了一条十分有效的新路径。     

陕西气象信息数据库应用平台综合设计

硬盘一旦出现故障，对每一个使用电脑的人来说简直就是一场灾难，因为硬盘里的数据比硬盘本身的价值更大，如何将其损失降到最低限度，这是非常值得研究的。     

Numerical Simulation of Drag Partition over Rough Surfaces

We present a numerical simulation of drag partition over rough surfaces. A computational fluid dynamics model is applied with high resolution to simulatingturbulent flows over arrays of roughness elements positioned on asmooth surface. The skin drag on the surface and the pressure drag on the roughnesselements are computed. The simulated drag partition compares well with wind-tunnelmeasurements and theoretical estimates for similar rough surfaces. This confirms that the computational approach offers an alternative to wind-tunnel and field experiments in studying drag and drag partition. The model is then applied to studying drag partition over rough surfaces with various roughness configurations. It is shown that drag partition depends not only on the magnitude of the roughness frontal area but also on the sizes and arrangement of roughness elements, because (1) the pressure drag coefficient is sensitive to roughness-element dimensions and (2) the arragement of roughness elements lead to different interferences of turbulent wakes. The impact ofthe latter factor is not insignificant.     

Partition, die Wende, and German unification

This paper provides a geographical context and overview of the critical steps leading to German unification on 3 October 1990. It examines the extent to which the whole process was typical of the sequence of events in other states that have been partitioned and have subsequently reunited, with particular reference to the so-called Wende in East Germany. This was a spontaneous, popular movement for internal reform which, spurred on in late 1989 by the impending collapse of the East German government and its protector, the Soviet Union, became a rallying point for German unification.     

2003年5月4日新疆伽师-岳普湖5.8级地震烈度分布及建筑物结构破坏特点

新疆伽师-岳普湖5．8级地震宏观震中位于岳普湖县的铁热木乡和兵团农三师42团的北面，震中烈度为Ⅶ度。本次地震影响范围位于巴楚-伽师6．8级地震Ⅵ-Ⅶ度影响区域内，累计破坏效应造成了较为严重的房屋破坏。通过对大量震害资料和强震记录的分析，根据建筑物的破坏情况和场地峰值加速度衰减特征，在尽可能排除累计破坏效应的基础上确定了地震烈度分布，分析了不同烈度区中的建筑物结构破坏特点及其与地震动影响场的关系。