民和盆地上侏罗统湿型冲积扇沉积

本文通过岩相特征、粘土矿物分布、早期成岩矿物组合、微量元素等特征的综合分析，认为民和盆地上侏罗统下部为一较典型的湿型冲积扇沉积。冲积扇扇中发育河道冲刷充填和漫流沉积，而泥石流不发育。沉积层序与现代湿型冲积扇可对比。扇体中粘土岩及早期成岩矿物组合中富含高岭石，应与扇体发育时的潮湿气候和弱酸性流体的较强的淋滤有关。由粘土岩中微量元素因子分析进一步表明，该地层中富硼、钒的特征与相邻非扇相地层明显不同     

考虑入渗和蒸发影响的土坡稳定性分析方法

本研究建议的一种分析方法假定斜坡非饱和土体的水分运动参数及剪强度参数与饱和度的依赖关系均可根据实验或经验确定。通过数值计算方法妥任意给定的入渗和蒸发边界条件下斜坡土体的瞬态含水率分布及与其相对应的瞬态抗剪强度参数分布。在此基础上瞬态斜坡安全因数即可通过常规的稳定性分析方法求得。     

隧道开挖模拟计算中的模型识别方法初探

介绍了利用隧道施工的位移量测信息来选择计算模型的原理和方法。应用实例表明，本文所提出的方法有较好的应用前景。     

武宁陆相红盆沉积特征与演化浅析

本文依据1:5万区调资料,扼要介绍了武宁陆相红盆填图单位的拟定、表示方法及工作原理的应用,重点叙述了红盆内多个冲积扇体特征及其之间的叠覆关系,阐明了盆缘断裂是控制红盆成生、发展演化的主导因素。对红盆成生及演化、时代也作了初步探讨。     

Application of an optimum design technique for determining the coefficient of consolidation by using piezocone test data

For normally consolidated clay, several researchers have developed a number of theoretical time factors to determine the coefficient of consolidation from piezocone test results. However, depending on assumptions and analytical techniques, it could vary considerably, even for a specific degree of consolidation. In this paper a method is proposed to determine a consistent coefficient of consolidation by applying the concept of an optimum design technique over all ranges of the degree of consolidation. Initial excess pore pressure distribution is assumed to be capable of being obtained by the successive spherical cavity expansion theory. The dissipation of pore pressure is simulated by means of a two-dimensional linear-uncoupled axi-symmetric consolidation analysis. The minimization of differences between measured and predicted excess pore pressure was carried out by the BFGS unconstrained optimum design algorithm with a one-dimensional golden section search technique. By analyzing numerical examples and in-situ test results, it was found that the adopted optimum design technique gives consistent and convergent results.     

一种基于二次灰关联分析的数列预测法

数列预测一直是评价决策中最常见而又信于把握的问题之一。本文在总结现有预测方法的基础上，结合前铛预报思想和灰色预测理论，依据数据求同原则，提出了运用二次灰关联分析，建立组合模型的预测方法，该方法易于计算机实现，并已实际应用于油气储量预测研究中。     

Harmonic Analysis of Sedimentary Cyclic Sequences in Kansas, Midcontinent, USA

Several stratigraphic sequences in the Upper Carboniferous (Pennsylvanian) in Kansas (Midcontinent, USA) were analyzed quantitatively for periodic repetitions. The sequences were coded by lithologic type into strings of datasets. The strings then were analyzed by an adaptation of a one-dimensional Fourier transform analysis and examined for evidence of periodicity. The method was tested using different states in coding to determine the robustness of the method and data. The most persistent response is in multiples of 8–10 ft (2.5–3.0 m) and probably is dependent on the depositional thickness of the original lithologic units. Other cyclicities occurred in multiples of the basic frequency of 8–10 with persistent ones at 22 and 30 feet (6.5–9.0 m) and large ones at 80 and 160 feet (25–50 m). These levels of thickness relate well to the basic cyclothem and megacyclothem as measured on outcrop. We propose that this approach is a suitable one for analyzing cyclic events in the stratigraphic record.     

Regionalization of unit hydrograph parameters: 1. Comparison of regression analysis techniques

Hydrologic regionalization is a useful tool that allows for the transfer of hydrological information from gaged sites to ungaged sites. This study developed regional regression equations that relate the two parameters in Nash's IUH model to the basin characteristics for 42 major watersheds in Taiwan. In the process of developing the regional equations, different regression procedures including the conventional univariate regression, multivariate regression, and seemingly unrelated regression were used. Multivariate regression and seeming unrelated regression were applied because there exists a rather strong correlation between the Nash's IUH parameters. Furthermore, a validation study was conducted to examine the predictability of regional equations derived by different regression procedures. The study indicates that hydrologic regionalization involving several dependent variables should consider their correlations in the process of establishing the regional equations. The consideration of such correlation will enhance the predictability of resulting regional equations as compared with the ones from the conventional univariate regression procedure.     

The separation of the influence of nutrients and climate on the varve time-series of baldeggersee, Switzerland

The varve data-set from a freeze-core taken in the deepest part of Baldeggersee was subjected to different multivariate statistical analyses in order to estimate the amount of variance in the varve thickness measures explicable by past climate and by the trophic state of the lake. A comparison of two different time-periods (1902 to1992 versus 1920 to 1980) revealed that the lake restoration programme since 1982 has had a significant impact on the formation of the seasonal layers. Results of the partitioning of the variance in the varve thickness measures showed that about two thirds of the variance are unexplained by a climate and trophic state model and that trophic state explains 6%, whereas climate accounts for about 28% of the variance before the effect of lake restoration had a strong impact on the varves. Among the climate parameters the amount of annual precipitation is a strong predictor for explaining the thickness of both dark layer and total couplet thickness, whereas summer precipitation is important for the thickness of the light layer.     

Regionalization of unit hydrograph Parameters: 2. Uncertainty analysis

Hydrologic model parameters obtained from regional regression equations are subject to uncertainty. Consequently, hydrologic model outputs based on the stochastic parameters are random. This paper presents a systematic analysis of uncertainty associated with the two parameters, N and K, in Nash's IUH model from different regional regression equations. The uncertainty features associated with N and K are further incorporated to assess the uncertainty of the resulting IUH. Numerical results indicate that uncertainty of N and K from the regional regression equations are too significant to be ignored.