GIS专题数据综合的研究

随着GIS技术在各种应用领域的推广使用，各领域的专业数据与G1S的空间数据相结合，形成描述特定地理现象的各种专题数据。与GIS空间数据一样，专题数据的应用也由微观的、较为详细地描述小区域地理现象特征，转向宏观的、较为概略地描述较大范围地理现象特征，这是专题数据综合的主要任务。该文在讨论GIS专题数据类型及特征的基础上，着重分析了专题数据综合的基本类型，并提出了专题数据综合的概念模型，为GIS专题数据自动综合的实施提供理论依据和实施方案。     

区域土壤环境地球化学研究——异常成因判别·环境质量·污染程度评价的思路与方法

从概念内涵和应用目标出发,认为土壤环境地球化学质量评价应该分为质量现状和污染程度两个方面.在此基础上探讨了区域地球化学资料在土壤环境现状质量评价、异常成因识别、污染元素累积速率和土壤污染程度评价研究的基本思路和方法.     

新疆乌鲁木齐地区多年水氡观测资料的统计与分析

通过对乌鲁木齐地区1980—7．001年的水氡观测资料进行全时域扫描分析，以乌鲁木齐为中心300km范围内Ms≥5．0的地震事件为研究对象，挑选出观测资料中异常时段，用地震预报效能评价评分的方法对水氡观测资料预报地震的能力进行评价。     

无拓扑矢量数据快速压缩算法的研究与实现

首先论述传统矢量数据压缩算法：道格拉斯—普克法，分析将其应用于多边形边界数据压缩所造成的图形失真现象，在此基础上提出一种针对无拓扑矢量数据的快速压缩算法，并在MapInfo环境中实现该算法。     

地下管线源数据处理方法的研究

为了保障顺利建设上海市地下管线数据库．需要对现存的地下管线的源数据进行一些技术处理，以满足数据入库的要求。本文主要个绍：笔者在从事地下管线源数据处理工作中，碰到的现存的上海市地下管线源数据对于建设上海市地下管线数据库所存在的一些问题：以及笔者利用Autodesk公司的AutoCAD二次开发工具开发的应用程序来处理这些问题的方法。     

Disjunctive Kriging with Hard and Imprecise Data

This paper presents a methodology for assessing local probability distributions by disjunctive kriging when the available data set contains some imprecise measurements, like noisy or soft information or interval constraints. The basic idea consists in replacing the set of imprecise data by a set of pseudohard data simulated from their posterior distribution; an iterative algorithm based on the Gibbs sampler is proposed to achieve such a simulation step. The whole procedure is repeated many times and the final result is the average of the disjunctive kriging estimates computed from each simulated data set. Being data-independent, the kriging weights need to be calculated only once, which enables fast computing. The simulation procedure requires encoding each datum as a pre-posterior distribution and assuming a Markov property to allow the updating of pre-posterior distributions into posterior ones. Although it suffers some imperfections, disjunctive kriging turns out to be a much more flexible approach than conditional expectation, because of the vast class of models that allows its computation, namely isofactorial models.     

新世纪的科技和岩土工程发展

从科技的发展谈论了人才的需求;以三峡工程、青藏铁路、西气东输、南水北调典型工程为例,论述了现代岩土工程与发展;并就21世纪岩土工程研究热点发表了自己的看法。     

对下扬子与华南边界结合带东延问题的地球物理探讨

以江山-绍兴、铅山-宜春等断裂带作为华南与扬子块体之间的边界结合带，这种认识目前已基本为大家所接受．但是，这条边界结合带向东延伸入海之后的位置与去向一直是多年来研究的热点．本文基于黄、东海研究区的地球物理数据(空间重力数据、布格重力数据和地震层析成像结果)，利用方向导数等处理方法，对研究区的地球物理数据进行处理，并对研究区的地球物理场进行了分析，划分出不同的区块．结合研究区的磁力与地质资料，利用各种成图、成像技术，形成一系列分析图件．在此基础上对华南与扬子块体之间的边界结合带进行了追踪．研究结果认为：该结合带的位置有可能比传统认识中自长江口至大黑山群岛的位置更向南一些，在杭州湾-长崎、对马海峡一线，并呈现向北略微凸出的弓形．边界结合带在深度上属于深大断裂带，一直可以追索到上地幔的顶部．与中朝与扬子块体之间的边界结合带相比较，本条结合带的踪迹不是十分清晰．表明加里东运动之后，该结合带的运动明显减弱．     

科学计算可视化技术的研究与应用

本文介绍了科学计算可视化技术的发展和应用情况，论述了这一新技术的特点及其在油气藏描述，工程设计ＣＡＤ等学科的应用和发展趋势。阐述了目前国际国内计算机图形学领域具体的研究方向和方法及图形软件、图形硬件的发展概况。     

Recovering magnetic susceptibility from electromagnetic data over a one-dimensional earth

While the inversion of electromagnetic data to recover electrical conductivity has received much attention, the inversion of those data to recover magnetic susceptibility has not been fully studied. In this paper we invert frequency-domain electromagnetic (EM) data from a horizontal coplanar system to recover a 1-D distribution of magnetic susceptibility under the assumption that the electrical conductivity is known. The inversion is carried out by dividing the earth into layers of constant susceptibility and minimizing an objective function of the susceptibility subject to fitting the data. An adjoint Green's function solution is used in the calculation of sensitivities, and it is apparent that the sensitivity problem is driven by three sources. One of the sources is the scaled electric field in the layer of interest, and the other two, related to effective magnetic charges, are located at the upper and lower boundaries of the layer. These charges give rise to a frequency-independent term in the sensitivities. Because different frequencies penetrate to different depths in the earth, the EM data contain inherent information about the depth distribution of susceptibility. This contrasts with static field measurements, which can be reproduced by a surface layer of magnetization. We illustrate the effectiveness of the inversion algorithm on synthetic and field data and show also the importance of knowing the background conductivity. In practical circumstances, where there is no a priori information about conductivity distribution, a simultaneous inversion of EM data to recover both electrical conductivity and susceptibility will be required.