联合采用定性和定量断层资料的应力张量反演方法及在乌鲁木齐地区的应用

地壳应力场是地球动力学研究和地震孕育环境研究的重要基础资料.求解应力场的一种重要方法是根据断层擦痕资料反演,然而擦痕往往难以观测,但断层滑动性质也与应力场有紧密的关系,这部分资料十分丰富.本研究按照应力张量在断层面上的剪应力方向与擦痕滑动方向及断层滑动性质一致为准则提出了联合采用擦痕数据和定性断层滑动数据求解应力场的网格搜索法,并给出了反演参数的一定置信度下的置信区间.采用假定的走滑型、挤压型和拉张型应力张量产生由7个擦痕数据和80个定性断层滑动数据组成的三组数据集.采用这些人工合成数据求解应力张量的实验结果表明,该方法可以更为准确地反演应力张量参数,定性断层滑动资料的参与使得应力张量的主应力方向更加接近假定的主应力方向,并且,应力张量参数的不确定性大大减小.将该方法应用于乌鲁木齐附近的定量擦痕和定性断层滑动性质数据,得到该地区较为精确的应力张量.结果表明,乌鲁木齐主压应力方向为近南北向、主张应力方向近垂直向,应力形因子为0.03.该地区占主导地位的近东西向的逆冲断层是近南北向挤压和近垂直向拉张形成的.较低的应力形因子表明乌鲁木齐地区在南北向挤压并辅以博罗科努山和博格达山的东、西向挤压的应力状态下处于隆升状态.     

气象学中使用统计检验的几个重要注记

在气候诊断研究和短期气候预测中广泛使用统计方法,例如相关分析和合成分析.本文对国内外文献中对统计检验显著性水平的各种描述进行了评论,指出了错误.指出了描述统计检验的结果时应该注意的问题.认为,对相关系数和合成分析等统计检验的描述,不应该称为"95%的信度","95%的显著性水平",而应该称为"5%的信度(显著性水平)",或者"95%的置信水平".还指出,统计检验或者显著性检验不应该被改称为信度检验,并分析了错误与产生混乱的原因.     

持力层为粘性土的混凝土预制桩承载力初探

该文叙述了上海地区以粘性土为持力层的混凝土预制桩实测承载力低于理论计算值的现象，分析了产生此种现象的原因，提出了改进的具体措施。     

Confidence regions for GPS baselines by Bayesian statistics

 The global positioning system (GPS) model is distinctive in the way that the unknown parameters are not only real-valued, the baseline coordinates, but also integers, the phase ambiguities. The GPS model therefore leads to a mixed integer–real-valued estimation problem. Common solutions are the float solution, which ignores the ambiguities being integers, or the fixed solution, where the ambiguities are estimated as integers and then are fixed. Confidence regions, so-called HPD (highest posterior density) regions, for the GPS baselines are derived by Bayesian statistics. They take care of the integer character of the phase ambiguities but still consider them as unknown parameters. Estimating these confidence regions leads to a numerical integration problem which is solved by Monte Carlo methods. This is computationally expensive so that approximations of the confidence regions are also developed. In an example it is shown that for a high confidence level the confidence region consists of more than one region. Received: 1 February 2001 / Accepted: 18 July 2001     

A daily rainfall occurrence process

A model for the periodic (annual cycle), discrete rainfall occurrence process is presented. Using this model the probabilistic properties of the process in -day intervals can be investigated. In such an interval the rainfall occurrence process is approximated by some stationary processa _t ,tIN. The processa _t ,tIN is described by the distributions of the lengths of wet and dry sequences. It is assumed that the lengths of successive wet and dry sequences are independent. For this process the distribution of the number of wet days in -day intervals is calculated. The model is fitted to 50-year rainfall data from Wroclaw, Poland. Rainfall amounts of 0.1, 1.0 and 2.0 mm are considered as thresholds defining a wet day. To estimate the distribution of the length of wet and dry sequences the family of Pascal distribution is chosen.     

一种新的集合预报权重平均方法

提出了一种新的考虑权重的集合预报成员平均方法。使用气候等概率区间来对集合成员进行分组, 并根据气候等概率区间的大小及其中的成员数, 对集合成员的权重进行调整, 得到了一种改进的集合平均预报结果。检验表明, 它可以进一步提高集合平均预报的效果。相对于提高模式分辨率或发展庞大的集合预报系统, 这种方法的效果是显著的。     

加卸载响应比在Poisson模型下的随机分布

本文在地震的发生时间服从Ｐｏｉｓｓｏｎ过程,而地震震级服从Ｇｕｔｅｎｂｅｒｇ－Ｒｉｃｈｔｅｒ关系的前提下,对不同定义的加卸载响应比Ｙ值的随机分布进行了探讨。结果表明：当在计算窗口的地震发生的期望数目较大（〉４０）时,Ｙ１￣Ｙ５值的分布基本稳定,出现高加卸载响应比的概率极低。然而当计算窗口的地震期望数目过小时,Ｙ２￣Ｙ５值则变得不太稳定。也就是说,服从Ｐｏｉｓｓｏｎ过程的地震序列,在计算窗口的地震期     

广义极值分布理论在重现期计算的应用

在气候统计学上,常用Weibull、Gumbel、Frechet统计分布函数对极端气候要素的分布进行拟合,广义极值分布理论综合了以上三种极值分布模型,在气候分析中得到了广泛应用。以南昌市年汛期日最大降水量为例,利用广义极值分布理论对其分布进行拟合,并对重现值及其置信区间进行计算,为气候要素极值的统计分析提供了一种新的手段。     

Real-time flood forecasting of the Tiber river in Rome

An adaptive, conceptual model for real-time flood forecasting of the Tiber river in Rome is proposed. This model simulates both rainfall-runoff transformations, to reproduce the contributions of 37 ungauged sub-basins that covered about 30% of the catchment area, and flood routing processes in the hydrographic network. The adaptive component of the model concerns the rainfall-runoff analysis: at any time step the whole set of the model parameters is recalibrated by minimizing the objective function constituted by the sum of the squares of the differences between observed and computed water surface elevations (or discharges). The proposed model was tested through application under real-time forecasting conditions for three historical flood events. To assess the forecasting accuracy, to support the decision maker and to reduce the possibility of false or missed warnings, confidence intervals of the forecasted water surface elevations (or discharges), computed according to a Monte Carlo procedure, are provided. The evaluation of errors in the prediction of peak values, of coefficients of persistence and of the amplitude of confidence intervals of prediction shows the possibility to develop a flood forecast model with a lead time of 12 h, which is useful for civil protection actions.     

Analysis of the Variability of a Two-Dimensional Finite Strain Estimate

Finite strain estimation is a widely used technique for the study of rock deformation in structural geology. One particular algorithm proposed by Shimamoto and Ikeda uses the ‘average shape matrix’ of deformed markers. This paper provides a detailed error analysis for resulting strain estimates in two dimensions. When the number of markers exceeds 100, estimators of components of the strain tensor are shown to have an approximately Gaussian distribution with variances that increase with their mean. Equal variance estimators are obtained by applying a log transform for the elongation and an arcsin transformation for the orientation estimates. Confidence interval formulae for strain tensor components are proposed. Lithology specific constants arising in these formulae are estimated from undeformed samples. The results are validated by application to simulated data as well as observational data from thin sections of sandstone sampled from SE Ireland.