Use of Fuzzy Membership Input Layers to Combine Subjective Geological Knowledge and Empirical Data in a Neural Network Method for Mineral-Potential Mapping

Use of GIS layers, in which the cell values represent fuzzy membership variables, is an effective method of combining subjective geological knowledge with empirical data in a neural network approach to mineral-prospectivity mapping. In this study, multilayer perceptron (MLP), neural networks are used to combine up to 17 regional exploration variables to predict the potential for orogenic gold deposits in the form of prospectivity maps in the Archean Kalgoorlie Terrane of Western Australia. Two types of fuzzy membership layers are used. In the first type of layer, the statistical relationships between known gold deposits and variables in the GIS thematic layer are used to determine fuzzy membership values. For example, GIS layers depicting solid geology and rock-type combinations of categorical data at the nearest lithological boundary for each cell are converted to fuzzy membership layers representing favorable lithologies and favorable lithological boundaries, respectively. This type of fuzzy-membership input is a useful alternative to the 1-of-N coding used for categorical inputs, particularly if there are a large number of classes. Rheological contrast at lithological boundaries is modeled using a second type of fuzzy membership layer, in which the assignment of fuzzy membership value, although based on geological field data, is subjective. The methods used here could be applied to a large range of subjective data (e.g., favorability of tectonic environment, host stratigraphy, or reactivation along major faults) currently used in regional exploration programs, but which normally would not be included as inputs in an empirical neural network approach.     

The rate of grain release by pore-ice sublimation in cold-aeolian environments

Pore‐ice sublimation is a prerequisite for aeolian activity in cold environments where surface sediments hold significant amounts of frozen water. Few quantitative studies have defined the rate of grain release from cemented surfaces by pore‐ice sublimation. In 1996–1997, controlled field experiments at Presqu'ile Beach, Ontario, were implemented to measure sediment release from frozen surfaces. The release rates were compared to the local wind regime, ambient temperature and humidity. In additional field experiments, the effect of sediment water content on grain release by sublimation was examined. From the experimental results, an equation which predicts grain release based on local wind speed, ground temperature, humidity, and surface water content is proposed. Predicted release rates show reasonable agreement with natural deflation measured on the beach at Presqu'ile Provincial Park.     

Seismic risk assessments and GIS technology: applications to infrastructures in the Friuli–Venezia Giulia region (NE Italy)

This paper illustrates the seismic risk preliminary estimates of two different groups of structures located on the territory of the Friuli–Venezia Giulia region (NE Italy) : the first group includes some special industrial plants, and the second group includes bridges and tunnels belonging to the regional highway network. The part of the study on special industrial plants tries to evaluate the degree of expected damage, taking into account their structural typology and ground shaking expressed in terms of macroseismic intensity. The second part of the study is an application of the HAZUS methodology to the tunnels and bridges of a highway network: the combination of expected ground shaking and the construction characteristics lead to very different risk levels, especially when considering the bridges. The resulting damage levels to bridges and tunnels are still only indicative because of the fragility curves used in the evaluations: they were developed for existing bridge and tunnel structural typologies in the U.S.A. Moreover, both examples show the power of GIS technology in storing, elaborating, and mapping spatial data. Copyright © 2003 John Wiley & Sons, Ltd.     

西北四省(区)2000年的水资源足迹

水资源足迹是如实反映人类对水资源消费利用的新概念,能深刻揭示社会经济系统对水资源的消费,为干旱缺水地区水资源科学管理提供了一个新视角.提出了水资源足迹的概念和衡量方法,引进了虚拟水概念,简要介绍了产品虚拟水计算方法,并以新疆、青海、甘肃和陕西为例,计算分析了2000年各省水资源足迹.结果表明,2000年西北四省(区)总的水足迹是为613.3×108m3,人均水足迹为712.3m3·人-1·a-1和1952L·人-1·d-1,高于统计的水资源利用量.以虚拟水概念为基础的水资源足迹更真实地衡量了社会经济系统对水资源的消费利用状况,为解决区域水资源短缺和创新水资源管理体制提供了新思路,产品形式的虚拟水贸易是平衡水资源赤字、维持区域水安全的有效工具.     

地下水及溶质运移数值模拟系统

介绍了地下水及溶质运移数值模拟的研究进展、数值模型的分类和数值模拟的步骤。根据数值模拟中涉及到的地质信息资源的特点，提出了基于地理信息系统(GIS)技术的地下水及溶质运移数值模拟系统的设计思路。该系统能够对模拟区域的基础地质资料、水文地质勘探资料以及数值模型的输入、输出资料进行动态管理，而且随着勘探、科研和生产的不断进行，通过对数据库的及时更新以及对数值模型的不断校正，可为不同的科研和生产方案的预测与评价提供信息资源。     

分形学:现代地图学的非线性数学分析方法

分析了地图学的传统数学分析方法，讨论了对象复杂性与方法简单化的矛盾，阐述了分形几何学，为现代地图学研究的定量化、系统化提供了新的数学分析方法。     

基于MapXtreme的地理信息发布

随着近年来计算机技术的发展,尤其是网络技术的发展,GIS在组成结构和应用技术等方面已与传统的GIS技术有了很大的不同,基于MapXtreme/MapX的WebGIS则是GIS技术发展的趋势。本文简单介绍WebGIS的发展趋势,结合一些例子介绍了利用MapXtreme的地理信息发布的技术和原理。     

基于移动Agent的分布式地理信息查询

提出了基于移动Agent的分布式地理信息查询的新思路，给出了构建基于移动Agent的分布式地理信息查询系统的方法，并利用移动Agent开发平台Aglets开发了一个分布式地理信息查询原型系统，实现了分布式地理信息的透明访问。     

基于虚拟监控技术的机器人系统

介绍了一种虚拟现实技术(VR)与智能机器人监控技术协同作业的机器人系统，该系统使用虚拟现实技术建造具有良好交互性的人机界面，并且结合智能机器人监控技术，实现了虚拟监控操作。通过机器人系统，将虚拟操作结果作为一个整体对象投射到工作现场，完成了实际作业，并以水下机器人检查钻井平台水下部分的焊缝工作为背景，说明了本系统各种功能的实现过程。     

虚拟加工环境中的工件动态建模方法研究

提出并实现了基于平面纹理映射的基元立方体构造方法，以之为动态结点建立了动态八叉树结构，实现了支持变精度动态建模的自相似递归算法。该算法确保离正在加工的部位更近的区域有更高的精度，并采用C^ Builder和OpenGL构造了一个集成于虚拟加工环境的可加工工件模型。