弹性介质中密度ρ与拉梅常数λ、μ的衍射层析成像方法研究

利用接收到的纵波信息，通过解纵波方程得到介质的密度和拉梅常数分布函数．首先，在频率波数域建立了描述入射纵波信号、接收纵波信号和介质三参数扰动量之间关系的积分方程．然后，建立了关于接收信号的各频率成份的方程组．经过正反傅氏变换求解此方程组即可得到介质三参数的分布函数．最后，就跨孔观测系统进行了数值模拟成像试验。结果表明方法有效．     

三维有限元数值模拟在宁夏大坝电厂地震安全性评价中的应用

本文综合考虑了宁夏大坝电厂周围２５０ｋｍ范围内的地质、地球物理方面的有关资料，建立了三维有限元模型。利用该模型模拟了该区域的构造应力场，进而对大坝电厂厂址区及附近进行了地震危险性分析。在分析工作中结合安全度的定义提出了危险系数的概念及潜在震源区划分的定量－定性标志。经过分析，作者认为大坝电厂附近构造稳定性较好。     

22°晕的光强度和颜色分布

本文首次提出了22°晕的折射—衍射理论，计算了几种冰晶大小平均值ā和标准差σ情况下22°晕的径向光强度分布和色品坐标，给出了相对光强度曲线和色品曲线。探讨了冰晶大小及其分布对22°晕光强度和颜色分布的影响。理论计算的22°晕光强度分布与实测结果基本相符。事实上，22°晕是一种折射—衍射晕。     

确定三维网中相对稳定点组的一种方法

详细介绍了一种确定三维网中相对稳定点组的方法。依据一组点间的几何关系是否保持不变可以判别这一组点是否相对稳定。文中阐述了该方法的实施步骤,且给出了一个实例,证明了方法的有效性。该方法还可用来判别某些ＧＰＳ点是否位于同一构造块体上     

非接触测量系统的布设和精度

本文介绍了非接触测量的基本原理,探讨了其布设图形与精度的关系,得出了供作业参考的几点结论。     

A QUASI-TWO-DIMENSIONAL STREAM TUBE MODEL FOR SIMULATING FLOW IN ALLUVIAL RIVERS

I. INTRODUCTIONIt is necessary, sometimes, to predict river bed deformahon during the alanning and design stages of a hydraulic project. As the nuvial process is quite complicated, the I --Dmathematical models currently in use can not satisfy the various needs in hydraulic engineering. Particularly in engineering practice, there is a strong desire of knowing the hydraulicconditions and river bed deformation in details. Some two dimensional models as well asqusi--two--dissensional models …     

巴塘3次续发性中强地震震源的研究

本文使用ＣＤＳＮ宽频带数字地震波形记录，通过波谱分析研究了巴塘３次续发性中强地震震源的几何参数和动力参数，并同余震震源空间立体分布图像研究结果进行对比分析。     

Conditional estimates of the number of podiform chromite deposits

A desirable guide for estimating the number of undiscovered mineral deposits is the number of known deposits per unit area from another well-explored permissive terrain. An analysis of the distribution of 805 podiform chromite deposits among ultramafic rocks in 12 subareas of Oregon and 27 counties of California is used to examine and extend this guide. The average number of deposits in this sample of 39 areas is 0.225 deposits per km² of ultramafic rock; the frequency distribution is significantly skewed to the right. Probabilistic estimates can be made by using the observation that the lognormal distribution fits the distribution of deposits per unit area. A further improvement in the estimates is available by using the relationship between the area of ultramafic rock and the number of deposits.The number (N) of exposed podiform chromite deposits can be estimated by the following relationship: log₁₀(N)=–0.194+0.577 log₁₀(area of ultramafic rock). The slope is significantly different from both 0.0 and 1.0. Because the slope is less than 1.0, the ratio of deposits to area of permissive rock is a biased estimator when the area of ultramafic rock is different from the median 93 km². Unbiased estimates of the number of podiform chromite deposits can be made with the regression equation and 80 percent confidence limits presented herein.