基于非等间距泊松曲线在沉降预测中的应用

泊松曲线是一种精度较高的沉降预测方法，但是它只能在等时距数据条件下方能使用，在工程实际中很难满足这一要求。本文采用插值法将非等时距数据转化成等时距数列，并结合高层建筑沉降监测工程实例分析，结果表明，用泊松曲线模型预测建筑物沉降量与实际沉降量比较接近，具有较高的应用价值。     

On Some implications of the Poisson relation

The potentialities of the so-called 'Poisson relation', which holds for uniformly magnetized bodies of constant density, for showing the connections between the gravitational and the magnetic fields of such bodies are considered. In particular, it is seen that the same characteristic ratios occur among the components of the magnetic field intensity and the components of the gradient tensors of the two fields, both locally and non-locally. It is also shown that along the magnetization axis of the body the gradient tensor of the magnetic field displays a 'tidal' structure.     

Clustering stochastic point process model for flood risk analysis

Since the introduction into flood risk analysis, the partial duration series method has gained increasing acceptance as an appealing alternative to the annual maximum series method. However, when the base flow is low, there is clustering in the flood peak or flow volume point process. In this case, the general stochastic point process model is not suitable to risk analysis. Therefore, two types of models for flood risk analysis are derived on the basis of clustering stochastic point process theory in this paper. The most remarkable characteristic of these models is that the flood risk is considered directly within the time domain. The acceptability of different models are also discussed with the combination of the flood peak counted process in twenty years at Yichang station on the Yangtze river. The result shows that the two kinds of models are suitable ones for flood risk analysis, which are more flexible compared with the traditional flood risk models derived on the basis of annual maximum series method or the general stochastic point process theory. Received: September 29, 1997     

Homogeneity testing of microanalytical reference materials by electron probe microanalysis (EPMA)

Homogeneity testing of candidate reference materials requires distinguishing the effects of measurement uncertainty of the analytical method from true compositional variations within the material. Many in situ microanalytical techniques do not allow classical ANOVA homogeneity testing due to the infeasibility of truly replicated analyses on the same analysis volume. This also applies to the analysis of beam-sensitive and light element-bearing materials by electron probe microanalysis (EPMA). This reality has led me to reconsider the homogeneity index approach used in the testing of microanalytical reference materials by EPMA. Based on statistical considerations, I show that the homogeneity index is suitable for statistical significance testing using F and chi-squared statistics and allows estimating the contribution of compositional heterogeneity to the total uncertainty budget of the referenced values. However, there are problems of bias and masking of small compositional variations by measurement uncertainty. This contribution shows the strong impact of the total number of measurements on the resolution of a microanalytical homogeneity study and discusses how to quantify the relative contribution of heterogeneity to the total uncertainty budget. I present an example of EPMA to illustrate this approach and show some pitfalls and limitations in its application.     

2022年1月8日青海门源6.9级地震的震源区结构特征和b值意义初探

2022年1月8日1时45分青海省门源县发生M_S6.9地震.本文基于青藏高原东北缘水平分辨率为0.3°的地震层析成像结果,获取了震源周边区域的地壳浅部构造信息,包括波速、泊松比以及估计的裂隙密度和饱和率的空间分布.结果表明:此次门源M_S6.9地震发生在P波和S波波速剧烈变化的区域,靠近高速体的边缘.泊松比和饱和率同样都显示,门源M_S6.9地震发生在高低值变化的过渡区.地震活动参数分析显示,震前冷龙岭断裂带的震源周边区域显示出了低b值、较低的a值和高a/b值的特征,与龙门山—岷山构造带强震之前的情况类似.裂隙密度在冷龙岭断裂两侧呈现出显著差异,北侧高于南侧,这可能是震后现场科考发现的断裂带地表破裂北侧高于南侧的构造成因.     

A Statistical Analysis of Trends for Warm and Cold Spells in Uppsala by Means of Counts

Statistical studies of extremes are of interest in the climatic sciences, in particular trends of periods of unusually warm or cold weather, which could be labelled warm and cold spells, respectively. We study the yearly number of spells in Uppsala, Sweden which from a data‐analytic point of view truly are counts, and employ theory and methods from the field of regression models for counts. A possible trend for the period 1840–2012 was investigated. The trend for warm spells is positive and demonstrated to be larger in magnitude compared with the one for cold spells, and is found to be statistically significant. The methodology could be extended to analyse other climate indicators.     

小波框架的彩色图像泊松去噪

噪声是影响图像质量的重要因素,噪声的存在导致图像的某些特征细节不能被辨识以及图像的信噪比下降,所以图像去噪是图像处理中的一个重要问题.本文提出了基于小波框架的彩色图像的泊松去噪模型.在该模型中,赋权的l²项作为保真项,包含小波框架的l¹项作为正则项.同时,又提出了解决该模型的重新赋权的split Bregman算法.最后,利用仿真实验以及PSNR（峰值信噪比）指标对该模型的去噪效果进行评估,评估结果表明该算法可行、有效.     

A New Symbolic Processor for the Earth Rotation Theory

In this paper we present a new symbolic processor specially suited for the Earth rotation theory. This processor works with a more general kind of Poisson series called Kinoshita series, which has resulted to be very useful in the Earth rotation theory. Its structure is adapted for dealing with the more general analytical expressions that appear in the Earth rotation theory. This new algebraic processor has been successfully used for computing different contributions to the nutation series of the rigid Earth.This revised version was published online in October 2005 with corrections to the Cover Date.     

Statistical control chart for regime identification in volcanic time series

In an important paper, Mulargia et al. (1987) address the importance of quantitative and objective identification of different regimes of a volcano. They develop a procedure based on the two-sample Kolmogorov-Smirnov (K-S) statistic. The K-S test is a general-purpose test that discriminates between two data sets as belonging to two different regimes based on their empirical distribution functions. The empirical distribution function is designed to describe the aggregate behavior of the volcanic activity, and it is constructed from the orders of the length of the collected repose times in each data set. In this article, we use the idea of statistical process control to distinguish between the variation inherent in the observed repose times and the extraordinary variation that signals a real change in the regimes. We construct a table of control limits, and we demonstrate the procedure of regime identification based on a simple control chart. It shows a point outside the control limits almost as soon as the process enters a new regime. The basis of the statistical process control mechanism is a simple Poisson process, which is state of the art. The proposed control charting procedure is an eruption by eruption procedure, which follows the original chronological order of the eruptions. This procedure is applied to the eruptive history of the Mount Etna volcano. The application shows schematically that the procedure presents a visual interpretation of the identified regimes and can be practically translated for tabular or manual use.     

基于地震波速度预测岩体物性参数模型与应用

以地震属性和钻孔测井参数为基础,依据试验数据构建数学模型,实现对煤层顶底板岩石物性参数的定量预测。通过试验拟合出纵横波波速之间关系、波速与密度的关系、动静杨氏模量、动静泊松比之间的关系,且相关程度较高。依据试验模拟结果对淮南刘庄区煤层顶底板岩石物性参数及孔隙度进行了预测。结果表明该地区的物性参数分布规律明显,且与实测结果吻合较好。模型计算与实例应用证实地震信息用于预测岩石力学参数具有可行性。