Density-dependent dispersion in heterogeneous porous media Part I: A numerical study

In this paper, we describe carefully conducted numerical experiments, in which a dense salt solution vertically displaces fresh water in a stable manner. The two-dimensional porous media are weakly heterogeneous at a small scale. The purpose of these simulations, conducted for a range of density differences, is to obtain accurate concentration profiles that can be used to validate nonlinear models for high-concentration-gradient dispersion. In this part we focus on convergence of the computations, in numerical and statistical sense, to ensure that the uncertainty in the results is small enough.Concentration variances are computed, which give estimates of the uncertainty in local concentration values. These local variations decrease with increasing density contrast. For tracer transport, obtained longitudinal dispersivities are in accordance with analytical findings. In the case of high-density contrasts, stabilizing gravity forces counteract the growth of dispersive fingers, decreasing the effective width of the transition zone. For small log-permeability variances, the decrease of the apparent dispersivity that is found is in agreement with laboratory results for homogeneous columns.     

大地测量相关观测抗差估计理论

相关观测异常诊断、质量控制是测量数据处理领域亟待解决的难题之一。分别从方差膨胀模型和相关权元素压缩模型入手研究了相关观测的质量控制理论和方法；给出了误差影响函数；构造了方差膨胀函数和权因子收缩函数；利用观测量的等价协方差阵和等价权矩阵讨论了相关观测质量控制的计算方法。该等价协方差矩阵和等价权矩阵不仅保持了原有协方差矩阵和权矩阵的对称性，而且保持了原有协方差矩阵的相关性不变。计算结果表明异常观测的方差膨胀法和等价权法能有效地控制异常观测对参数估值的影响。     

GIS中地籍宗地面积的方差分量估计

探讨在地籍宗地数字化的面积处理问题中,把已知面积数据和数字化坐标同时作为观测值的面积处理方法.采用方差分量估计,解决已知面积数据参与平差时的权的确定.通过实例分析,认为采用条件平差方差分量估计方法来对宗地面积处理,能够更加合理地调整已有面积与由数字化坐标得到的面积值之间的差异.     

Helmert方差分量估计的粗差检验与抗差解

当观测值中含有粗差时，检验表明Helmert方差分量估计结果同样含有粗差，且粗差还可能会发生转移，为有效地抵制粗差和随机模型差的互相影响，指出了发生这一转移的原因，介绍了基于双因子等价权的抗差估计，并针对相关Helmert方差分量估计抗差解求解过程中容易出现的法矩阵0值溢出问题，提出了改进方法。     

相关稳健估计及其在测量数据

在对现有的基于等价权的稳健估计的弊端进行分析的基础上,直接从方差膨胀模型出发,建立起一套基于调整观测量方差-协方差阵的相关稳健估计方法,并通过算例证明其估计思想、模型的正确性和可行性.     

江苏省夏季持续干旱和雨涝的气候分析以及环流和海温场演变特征

在对我省夏季持续干旱和雨涝进行气候分析的基础上，研究了夏季持续干旱和持续雨涝的环流特征差异、持续干旱的两种不同的环流型以及前期海温场的特征和演变规律。     

我国草原下垫面低层大气湍流结构

利用超声风速仪资料分析了科尔沁草原下垫面低层大气的湍流谱结构，无量纲化湍流速度分量及温度脉动的标准偏差，和湍流通量与稳定度参数的关系。结果表明，草原下垫面低层大气湍流速度谱，在较宽的稳定度范围内， 符合Kolmogorov 相似理论，在惯性副区接近局地各向同性，无量纲化湍流速度分量及温度脉动的标准偏差服从A(1-Bζ)1/3和A(-ζ)-1/3规律， 湍流热通量与稳定度参数ζ存在较好的相关性。     

GBPP－100型地面雨滴谱仪测量的可靠性

用ＧＢＰＰ－１００型地面雨滴谱仪与吸水纸斑，点法进行同步观测，对比分析ＧＢＰＰ－１００型地面雨滴谱仪测量的可靠性。结果表明：（１）两种方法测量雨滴谱所得资料除平均直径、均立方根直径相似性稍差外，其它特征量的线性相关显著性水平均为０．００５；（２）两种方法所得雨滴谱资料除平均直径、均立方根直径、降水强度稍有差异外，其它特征量均无显著差异。     

Visual classification of very fine-grained sediments: Evaluation through univariate and multivariate statistics

Classifying very fine-grained rocks through fabric elements provides information about depositional environments, but is subject to the biases of visual taxonomy. To evaluate the statistical significance of an empirical classification of very fine-grained rocks, samples from Devonian shales in four cored wells in West Virginia and Virginia were measured for 15 variables: quartz, illite, pyrite and expandable clays determined by X-ray diffraction; total sulfur, organic content, inorganic carbon, matrix density, bulk density, porosity, silt, as well as density, sonic travel time, resistivity, and -ray response measured from well logs. The four lithologic types comprised: (1) sharply banded shale, (2) thinly laminated shale, (3) lenticularly laminated shale, and (4) nonbanded shale. Univariate and multivariate analyses of variance showed that the lithologic classification reflects significant differences for the variables measured, difference that can be detected independently of stratigraphic effects. Little-known statistical methods found useful in this work included: the multivariate analysis of variance with more than one effect, simultaneous plotting of samples and variables on canonical variates, and the use of parametric ANOVA and MANOVA on ranked data.     

红外测距在信阳市燃气混气站场区断层水平位移监测中的应用

结合红外精密测距在信阳市燃气混气站场区稳定性研究中的应用,探讨了大气对红外测距的影响;在数据处理中采用了验后方差估计的自由网平差模型,使结果获得了亚毫米级的精度,并将F检验方法应用于变形分析中,得到了同观测结果相一致的结论,从而提高了工程岩土体稳定性定量评价的可信度。