基于自然水系网信息的元素运移分析

地面上的矿物或污染物元素主要是随水系而运移的。因此，利用自然水系网信息来定量分析元素沿水系的迁移、分散，对于地质找矿和环境保护都具有重要意义。在研究应用主概率权模拟模型产生自然水系网的基础上，提出了元素在水系网中运移的计算方法，结合所模拟出的水系网，具体分析了元素在其中的迁移、扩散情况，给出了正问题和反问题的计算结果。结果表明，正、反问题的求解具有一致性，方法是有效、可行的。     

关联度分析法在确定土地定级因素权重中的应用

从关联度分析法的基本原理入手，介绍了应用关联度分析法确定土地定级因素权重的具体方法，探讨了关联度分析法运用于土地定级因素权重确定的可行性。     

利用GPS位移和主应力方向观测资料进行川滇地区边界力的联合反演研究

在简要介绍了川滇地区的构造格局和构造运动特征的基础上，讨论了不同观测数据同时用于反演的合理性和物理意义，利用1998～2000年观测的9个测点位移数据和1986年以前所测的10个主应力方向数据，将边界力和相对权比λ作为待反演参数，并考虑了主要活动断裂运动特性，进行了弹性有限元数值反演计算。计算结果表明，现今川滇地区的构造活动主要力源仍来源于印度板块与欧亚大陆的碰撞，菲律宾海板块的挤压作用也不可忽略，这一结论说明了该地区现今构造运动的继承性活动特征。     

多因素复杂系统最佳因素权重确定的一种新思路——以深港西部通道工程深圳湾公路大桥为例

为了客观地反映各因素对目标问题的影响程度,本文首次提出了最佳因素权重概念。定义最佳因素权重为研究区域内系统质量处于极限状态时的各因素权重之组合。结合深港西部通道工程深圳湾公路大桥桥址比选方案,详细说明了本方法的研究思路及其确定方法。通过最佳因素权重方法,能客观地、定量地确定出多因素复杂系统中的最优场址。     

Use of Geomorphological Information in Indirect Landslide Susceptibility Assessment

The objective of this paper is to evaluate the importance of geomorphological expert knowledge in the generation of landslide susceptibility maps, using GIS supported indirect bivariate statistical analysis. For a test area in the Alpago region in Italy a dataset was generated at scale 1:5,000. Detailed geomorphological maps were generated, with legends at different levels of complexity. Other factor maps, that were considered relevant for the assessment of landslide susceptibility, were also collected, such as lithology, structural geology, surficial materials, slope classes, land use, distance from streams, roads and houses. The weights of evidence method was used to generate statistically derived weights for all classes of the factor maps. On the basis of these weights, the most relevant maps were selected for the combination into landslide susceptibility maps. Six different combinations of factor maps were evaluated, with varying geomorphological input. Success rates were used to classify the weight maps into three qualitative landslide susceptibility classes. The resulting six maps were compared with a direct susceptibility map, which was made by direct assignment of susceptibility classes in the field. The analysis indicated that the use of detailed geomorphological information in the bivariate statistical analysis raised the overall accuracy of the final susceptibility map considerably. However, even with the use of a detailed geomorphological factor map, the difference with the separately prepared direct susceptibility map is still significant, due to the generalisations that are inherent to the bivariate statistical analysis technique.     

Application of Weights of Evidence to Mineral Potential Mapping of Yujiacun Ore Field in Northwest Yunnan Province, China

The multivariate information conprehensive processing technique is especially important at present to the digital mineral prospecting. However, the GIS-based weights of evidence have provided us with powerful tool for the quantitative assessment of mineral resource potential. In this paper, the mineralization model is established, based on the achievements made by previous researchers, to mend such deficiencies ad few references on ore fields in Yujiacun, Yunnan Province and the shortage of quantitative prediction and assessment of mineral resources. In addition, the weights of evidence are used to make a systematic quantitative prediction and assessment of mineral resources there, so that 2 mineral prospecting target areas of grade Ⅰ and 8 mineral prospecting target areas of grade Ⅱ are delineated, providing the further mineral resource exploration with the basis for the selection of mineral deposits.     

计算样本相似性在油气预测中的应用

介绍了计算样本相似性方法在油气预测中的应用的基本原理和技术。提出了利用参数的显著性进行参数优化和加权的方法。该方法简单、实用，并在塔北某区的应用取得了满意结果。由此证明了该方法的有效性及在综合信息预测工作中进行参数优化和加权工作的重要性。     

超轻型井点降水新技术的研究与应用

分析了轻型井点降水设备的现状与不足，提出了超轻型井点降水新技术，即对现有轻型井点降水设备进一步轻化。介绍了轻化改进的措施，并通过工程检验，取得了良好效果。     

Weights of Evidence Modeling of Mineral Potential: A Case Study Using Small Number of Prospects,Abra, Philippines

Weights of evidence (WofE) modeling usually is applied to map mineral potential in areas with large number of deposits/prospects. In this paper, WofE modeling is applied to a case study area measuring about 920 km² with 12 known porphyry copper prospects. A pixel size of 100 m × 100 m was used in the spatial data analyses to represent in a raster-based GIS lateral extents of prospects and of geological features considered as spatial evidence. Predictor maps were created based on (a) estimates of studentized values of positive spatial association between prospects and spatial evidence; (b) proportion of number of prospects in zones where spatial evidence is present; and (c) geological interpretations of positive spatial association between prospects and spatial evidence. Uncertainty because of missing geochemical evidence is shown to have an influence on tests of assumption of conditional independence (CI) among predictor maps with respect to prospects. For the final predictive model, assumption of CI is rejected based on omnibus test but is accepted based on a new omnibus test. The final predictive model, which delineates 30% of study area as zones with potential for porphyry copper, has 83% success rate and 73% prediction rate. The results demonstrate plausibility of WofE modeling of mineral potential in large areas with small number of mineral prospects.     

基于灰关联分析的GPS高程拟合加权平均函数模型权函数优选

基于灰色系统理论的灰关联分析方法,提出了权函数的优选方法,实例分析表明其具有较好的实用价值.