Three-dimensional numerical modelling of wind-driven circulation in a homogeneous lake

A three-dimensional numerical model has been developed to study wind-induced circulation patterns in a shallow homogeneous lake with a complex bathymetry. The governing equations are the unsteady Reynolds-Averaged Navier–Stokes equations in which the non-hydrostatic pressure distribution has been included. The model was tested against analytical solutions and laboratory data for wind-induced currents and then applied to Esthwaite Water, a small lake in Cumbria, UK. The model was used to study the main model parameters and to generate typical circulation patterns for a variety of conditions in the lake. Simulations showed that a non-hydrostatic pressure distribution did not have any noticeable influence on the overall circulation pattern in the lake. However, comparisons with field data at some measurement stations in the near-shore region with sharply varying bottom topography showed that the hydrodynamic pressure component had some influence on the vertical velocity profile.     

水平磁场台际转换函数C_u的大小——有限差分法模型计算研究

计算的几种模型表明，用改进的三维有限差分法程序计算的异常体中心点上的水平磁场实部可达 1.53，这就意味着水平场转换函数 Cu也可达 1.53，与单台垂直磁场的转换函数有相同量级的大小。     

浅析山西临汾中心地震台定点水准测段高差的变化特征

叙述了山西临汾中心地震台定点水准观测场地及所跨断层的简况，利用1987年至2000年的观测资料对跨断层的2个测段高差变化进行了分析，结果表明，BM4-BM1测段能反映所监测断层的变化。     

Arbitrary Difference Precise Integration Method for Solving the Seismic Wave Equation

Wave equation migration is often applied to solve seismic imaging problems. Usually, the finite difference method is used to obtain the numerical solution of the wave equation. In this paper, the arbitrary difference precise integration (ADPI) method is discussed and applied in seismic migration. The ADPI method has its own distinctive idea. When dispersing coordinates in the space domain, it employs a relatively unrestrained form instead of the one used by the conventional finite difference method. Moreover, in the time domain it adopts the sub-domain precise integration method. As a result, it not only takes the merits of high precision and narrow bandwidth, but also can process various boundary conditions and describe the feature of an inhomogeneous medium better. Numerical results show the benefit of the presented algorithm using the ADPI method.     

Generation of thermal inertia image over a part of Gujarat: A new tool for geological mapping

Thermal inertia is a volume property and can be used to detect the subsurface features in an alluvium-covered area. A thermal inertia image has been generated over a part of Gujarat using consecutive day and night NOAA-AVHRR data. Gujarat contains two important rift basins in the western margin of India, namely, Cambay and Kutch basins. Major land covers exist in this region are alluvium, continental sediments, various rocks of Mesozoic and Cenozoic origin followed by Deccan Volcanics, tertiary and quaternary deposits. Validation of thermal inertia parameters with existing values obtained from literature indicates the efficacy of the developed technique. The study indicates that thermal inertia image can be used as a new method for geologic mapping/basin delineation where exposure is less or contrast is negligible between litho-units using traditional photography/sensing techniques.     

矿化信息提取定量遥感模型的建立——以鹰嘴山硅化蚀变为例

研究选择围岩蚀变复杂,种类丰富的甘肃鹰嘴山金矿,目的是建立该区硅化信息提取的定量遥感模型。通过对实测地物光谱数据、岩矿石化学组分分析、微量金分析结果等岩矿石多元数据的聚类分析、相关分析和因子分析,找到了提取硅化蚀变的最佳组合变量,并通过建立它们之间线性回归方程的方式,建立了该区硅化蚀变的定量遥感模型:S iO2=85.047TM5/TM7-4.348TM5/TM4 16.51TM5/TM3-41.866 R=0.703。以该模型为指导,对Landsat TM遥感影像数据进行增强处理,定量提取出了该区金矿化异常信息。经实际验证,其结果与实际情况吻合度好,可为与该区地质背景类似的阿尔金东段和北祁连西段早古生代海相火山岩地区的金矿普查与勘探提供参考依据。     

HDF 5格式特点及其对遥感数据格式标准化的几点启示

阐述了HDF 5数据格式的特点及其对遥感数据标准化的启示和借鉴作用。HDF 5格式层次式的逻辑结构、B树的物理存储方式，面向对象的特性、数据类型的广泛支持、自我描述以及内容与表达的分离等特点，使得它在记录和存储科学数据时具有强大的优势。遥感数据标准化如何设计一种结构简单且扩展性很好，同时支持不同平台的标准格式，可以从HDF 5的实现方法上得到借鉴。     

Sign-constrained robust least squares, subjective breakdown point and the effect of weights of observations on robustness

The findings of this paper are summarized as follows: (1) We propose a sign-constrained robust estimation method, which can tolerate 50% of data contamination and meanwhile achieve high, least-squares-comparable efficiency. Since the objective function is identical with least squares, the method may also be called sign-constrained robust least squares. An iterative version of the method has been implemented and shown to be capable of resisting against more than 50% of contamination. As a by-product, a robust estimate of scale parameter can also be obtained. Unlike the least median of squares method and repeated medians, which use a least possible number of data to derive the solution, the sign-constrained robust least squares method attempts to employ a maximum possible number of good data to derive the robust solution, and thus will not be affected by partial near multi-collinearity among part of the data or if some of the data are clustered together; (2) although M-estimates have been reported to have a breakdown point of 1/(t+1), we have shown that the weights of observations can readily deteriorate such results and bring the breakdown point of M-estimates of Huber’s type to zero. The same zero breakdown point of the L ₁-norm method is also derived, again due to the weights of observations; (3) by assuming a prior distribution for the signs of outliers, we have developed the concept of subjective breakdown point, which may be thought of as an extension of stochastic breakdown by Donoho and Huber but can be important in explaining real-life problems in Earth Sciences and image reconstruction; and finally, (4) We have shown that the least median of squares method can still break down with a single outlier, even if no highly concentrated good data nor highly concentrated outliers exist. An erratum to this article is available at .     

川滇地区现今块体水平运动变形特征分析

依据川滇地区1991，1999和2001年GPS测量数据，利用DDA正分析基本原理，结合现有的地质资料，对该地区近年来的水平构造运动特征进行了模拟分析，认为川滇地区水平运动整体速率在1999～2001年期间明显减弱；川滇决体主压应变以顺时针旋转为主，方向为SE—SEE；其南部是运动变形相对剧烈、易于积累能量的区域；未来一两年内，该地区地震活动水平不会太高。     

A simple LMS‐based approach to the structural health monitoring benchmark problem

A structure's health or level of damage can be monitored by identifying changes in structural or modal parameters. However, the fundamental modal frequencies can sometimes be less sensitive to (localized) damage in large civil structures, although there are developing algorithms that seek to reduce this difficulty. This research directly identifies changes in structural stiffness due to modeling error or damage using a structural health monitoring method based on adaptive least mean square (LMS) filtering theory. The focus is on computational simplicity to enable real‐time implementation. Several adaptive LMS filtering based approaches are used to analyze the data from the IASC–ASCE Structural Health Monitoring Task Group Benchmark problem. Results are compared with those from the task group and other published results. The proposed methods are shown to be very effective, accurately identifying damage to within 1%, with convergence times of 0.4–13.0 s for the twelve different 4 and 12 degree of freedom benchmark problems. The resulting modal parameters match to within 1% those from the benchmark problem definition. Finally, the methods developed require 1.4–14.0 Mcycles of computation and therefore could easily be implemented in real time. Copyright © 2004 John Wiley & Sons, Ltd.