Application of visual,statistical and artificial neural network methods in the differentiation of water from the exploited aquifers in Kuwait

The ability of artificial neural network to differentiate water samples from the two aquifers of Kuwait on the basis of their major ion chemistry has been demonstrated. The major ion concentration distribution in the groundwater of the Kuwait Group and the Dammam Formation aquifers of Kuwait appears very similar. Cross-plots, supported by the discriminant function analysis of the data, however, suggest that there are some subtle differences in the overall composition of the water from the two aquifers that make it possible to differentiate the water from the two aquifers in almost 80% of the cases. An artificial neural network improved the differentiation capability to 90% of the cases. It is also possible to estimate the fraction of Kuwait Group water in the flow stream of dually completed wells with the help of an artificial neural network developed for this purpose. Electronic Publication     

A coupled,dynamical and chemical model for the prestellar core L1544: Comparison of modeled and observed C<Superscript>18</Superscript>O,HCO<Superscript>+</Superscript>, and CS emission spectra

We consider radiative transfer in C¹⁸O, HCO⁺, and CS molecular lines in a spherically symmetrical, coupled, dynamical and chemical model of a prestellar core whose evolution is determined by ambipolar diffusion. Theoretical and observed line profiles are compared for the well-studied core L1544, which may be a collapsing protostellar cloud. We study the relationship between the line shapes and model parameters. The structure of the envelope and kinematic parameters of the cloud are the most important factors determining the shape of the lines. Varying the input model parameters for the radiative transfer—the kinetic temperature and microturbulent velocity—within the limits imposed by observations does not result in any substantial variations of the line profiles. The comparison between the model and observed spectra indicates that L1544 displays a flattened structure, and is viewed at an oblique angle. A two-dimensional model is needed to reproduce this structure.     

检层法钻孔S波速测量中的震相问题

在岩土工程测量中，Ｓ波速度是一个重要参数，正确地识别其震相，对提高Ｓ波速度的测试精度非常重要。郭铁拴先生等发表关于“检层法鲇孔波速测量中的震相分析”一文中提出在有套管的检层Ｓ波测量中，深度大于４０ｍ时，Ｓ波震相淹没在折射波中。     

斜坡失稳时间的协同预测模型

斜坡岩体由小变形到大变形乃至滑坡的发生，实质上是由组成斜坡的各子系统协同作用的结果．将协同学引入斜坡的稳定性预测评价中，并提出了一种新的斜坡失稳时间预测模型──协同预测模型．经实例检验，该模型预测精度较高，可用于滑坡的短期或临滑预报．     

松潘—甘孜造山带中丹巴地区变质岩的流体包裹体研究

对丹巴地区动热变质岩石英中的流体包裹体研究表明，第一类型包裹体为高密度CO2包裹体，与深层滑脱作用密切相关，其温度、压力可代表变质峰期的温压条件。第二类型包裹体为CO2－H2O包裹体，H2O含量增加，与变质峰期后的抬升作用有关。第三类型包裹体为NaCl－H2O包裹体，以H2O为主，与抬升作用引起的退变质作用有关。其形成温度依次降低，说明它们是在变质作用的不同阶段捕获的。     

红层地区砂泥岩互层状斜坡岩体流变特性研究

本文在对侏罗系砂溪庙组砂，泥岩进行的系统流变试验的基础上，详细研究了砂，泥岩的流变特性及其相应的长期强度，以及砂，泥岩互层状组成的斜坡碉体流变特征，特别是模拟研究了风化深度较厚的泥岩产生的粘塑性流动对斜坡应力场及斜坡变形破坏所起的不可忽视的作用。     

管缝式锚杆防治软岩巷道底臌的试验研究

根据对巷道围岩移动趋势的分析，充分考虑到锚杆在垂直于锚杆轴向方向上与围岩的相互作用．将其用于软岩巷道底臌的防治，简化了软岩巷道施工工艺。矿井的实际应用表明支护效果是明显的。