【摘要】 收集胶东地区地质构造矿产区域地球物理地球化学遥感自然重砂等金矿找矿的综合信息,选用特征分析法对预测变量进行优选。运用特征分析法Q型聚类分析法数量化理论和对应分析法等数学方法建立矿产预测评价模型。通过Surfer软件对研究区划定的预测单元成矿概率进行评价,优选出成矿靶区。本次研究结果共圈出A级区31处B级区55处C级区36处D级区13处,实现了靶区定位。更多还原

【Abstract】 Comprehensive data regarding gold ore prospecting such as geological structures, minerals, regional geophysics, geochemistry, remote sensing, and natural heavy sand in the Jiaodong area were collected. The feature analysis method was used to optimize the predictor variables. Then, mathematical methods such as feature analysis, Q-type cluster analysis, quantitative theory IV, and corresponding analysis were used to establish a mineral prediction evaluation model. The mineralization probability of the prediction unit defined in the study area was evaluated using Surfer software and the metallogenic target area was optimized. The results of this study were a total of 31 A-class areas; 55 in the B-class; 36 in the C-class; and 13 in the D-class. The target location was achieved.更多还原