二维地震观测系统合理性的论证方法

已知勘查区深度范围前提下,最大炮检X和道间距ΔX,不可以太大也不可以太小,施工前能够计算出它的允许值范围。     

CVE中多种视点视图导航效果研究

协同虚拟环境是网络技术与虚拟现实技术相结合的产物,将单用户虚拟环境扩展为多用户的网络化虚拟环境,实现群组协同工作.目前,协同虚拟环境系统已经在科学可视化、协同设计、战争模拟等很多领域得到了广泛应用.在单用户虚拟环境中导航与多用户的协同虚拟环境中导航是完全不同的,文中论述了协同虚拟环境导航的特点以及导航与视点的关系,探讨了常用的协同虚拟环境三种视点视图界面的导航及其效果,并进行了相关实验测试.     

Generalized Coarse Graining Procedures for Flow in Porous Media

This paper focuses on heterogeneous soil conductivities and on the impact their resolution has on a solution of the piezometric head equation: owing to spatial variations of the conductivity, the flow properties at larger scales differ from those found for experiments performed at smaller scales. The method of coarse graining is proposed in order to upscale the piezometric head equation on arbitrary intermediate scales. At intermediate scales large scale fluctuations of the conductivities are resolved, whereas small scale fluctuations are smoothed by a partialy spatial filtering procedure. The filtering procedure is performed in Fourier space with the aid of a low-frequency cut-off function. We derive the partially upscaled head equations. In these equations, the impact of the small scale variability is modeled by scale dependent effective conductivities which are determined by additional differential equations. Explicit results for the scale dependent conductivity values are presented in lowest order perturbation theory. The perturbation theory contributions are summed up with using a renormalisation group analysis yielding explicit results for the effective conductivity in isotropic media. Therefore, the results are also valid for highly heterogeneous media. The results are compared with numerical simulations performed by Dykaar and Kitanidis (1992). The method of coarse graining combined by a renormalisation group analysis offers a tool to derive exact and explicit expressions for resolution dependent conductivity values. It is, e.g., relevant for the interpretation of measurement data on different scales and for reduction of grid-block resolution in numerical modeling. This revised version was published online in July 2006 with corrections to the Cover Date.     

协同空间决策的概念、过程与特点研究

对空间决策支持系统和计算机系统协同工作环境进行系统分析和总结，概括了较为完整的协同空间决策概念，提出了协同空间决策的空间问题协同分析、方案生成与可视化、方案分析、方案表决等基本过程。在此基础上，作者详细分析了协同空间决策的复杂性、交互可视化、多用户参与、方案探索性分析、多层次协同等基本特征。     

利用数字图像处理技术提高地震剖面图像信噪比

提出了利用数字图像处理技术提高地震剖面信噪比的新方法，首先根据数字图像处理要求的格式，对地震剖面数据进行转换，得到地震剖面图像，分析了地震数据特点和初步地震图像的实验结果后，设计了新的预处理方法——“二维沿层滤波”，在此基础上，利用可以计算帧间运动速度及其变化都较大的改进的光流分析技术，计算出多幅地震剖面对应点的偏移量，然后应用图像积累技术对这多幅地震剖面进行积累，实现对三维地震数据体提高信噪比的处理，该方法充分利用了三维地震信息，不但可以提高整个数据体的信噪比，而且可以减少信号能量的损失，并保持原来的信号能量关系，使地震剖面的质量得到明显提高，为地震解释奠定良好的基础。     

用数字滤波方法进行数值模式的初始化

将数字滤波原理用于Ｔ４２Ｌ９全球谱模式的初始化。选取两个初值进行了实验。通过对模式短时间积分得到的时间序列进行滤波处理，有效地滤去了初始场中的高频重力波振荡，保留了其中有天气意义的扰动，同时对分析场的改变很小。５ｄ预报的结果说明，经过初始化后的预报较为平稳，场较为光滑。对比实验表明，绝热和非绝热初始化的效果很接近。这种方法简便有效，是一种实用的初值化方法     

数字滤波方法在月尺度数值预报中的应用：II.保留不同低频过程的效果比较

用数字滤波方法对观测资料序列进行处理，得到初始场用于Ｔ４２Ｌ９全球谱模式的月预报，以去除误差增长较快的高频扰动对低频过程的影响，并且利用多时刻的观测资料提取低频过程的信息。对冬季和夏季两个不同个例进行了实例，并比较了取不同长度的观测序列，截取不同周期的过程作为初值对预报效果的影响。结果说明，经过滤波后对低频分量和平均场的预报都有显著的改进。而且对于较长时效的预报，应保留更低频的过程（比如１０ｄ以上     

用卡尔曼滤波预报南海热带气旋路径的试验

利用卡尔曼滤波方法预报南海热带气旋路径，发现采用卡尔曼滤波可以大大地降低预报误差，提高预测模型的预报能力。     

柳伊河水电站大坝右岸坝区研究

In the paper in order to ascertain the condition of the right-bank of the dam at the Vilyui hydroelectric power plant measurements are applied to obtain experimental date such as drilling borehole,hydrolocation and so forth. By finding out the distribution of the temperature field some corresponding measures are taken to improve the stability of the dam during the change of the ground temperature. And finally some conclusions are draw to the study.