摘要
采用1:5万区域地质调查资料,选取16个地层、构造、火成岩及其接触带和化探数据变量。每一种预测方法,抽取了与金矿资源有关的676×16的原始数据矩阵,并且建造了金矿资源和地质环境之间的数学模型以预测区域金矿资源远景。采用的数学模型有:因子空间的欧氏距离、因子分析和特征分析法,其结果绘制在综合成矿预测图上,共圈出8个1级金矿远景区。本区已知的金矿床、矿点均落入了预测区内,并首次圈定了一些新的金矿远景区,有待进一步详细勘查工作的证实。
In this paper,the research data are completely based on the regional geological survey in the scale of 1: 50000 as the original data for calculation,there has been observation value of 16 variables which are selected from the stratigraphy,structure,magmatic rock and its conttct zone, and pedogeochemical prospecting. The studied area covers an area of 700 square kilometers. It is the task of each statistical method to extract the information relating to gold ore resources from a great quantity of the original data matrix (676×16)and construct the mathematical patterns between gold ore resources and geological environments, from which to predict the prospects of gold ore resources in a region. These mathematical patterns used in this study include the arrangement by Euclidean distance, the factor analysis,the cluster analysis and characteristic analysis. The results of prediction are drawn in prospecting diagram. The number of prospecting area adds up 8. The locations of all the gold mines known in the area coincide with that of the results of prediction very well. And it is more important that the prediction has pointed out several new prospecting areas where gold mines have not been found yet and it is necessary to emphasize the further exploration of gold mines in those areas.
出处
《国土资源》
1993年第3期254-262,共9页
Land & Resources
关键词
金矿预测
花岗岩-绿岩带
清原
Prediction of gold deposits Granitoid-greenstone belt Qingyuan county