基于熵权法的新疆阿尔泰成矿区金矿床定位预测研究

      本文通过结合信息熵和灰色关联度来分析地质变量和矿床单元之间的关系，以达到圈定成矿靶区的目的。在地质、物探、化探、重砂等资料研究的基础上提取了87个综合信息地质变量。在综合信息矿产预测理论与方法的指导下，将研究区域划分为16个金矿床密集单元和14个金异常密集区为单元，引入熵权法对定性变量和定量变量分别计算信息熵和变量权值，然后采用灰色关联分析法来定量解析单元之间的关联程度。结果表明：重力梯度、航磁、重磁吻合以及汇水盆地异常等地质变量可以作为研究区域寻找金矿的有效地质标志，6号、 22 号、 18号和19号等单元可以作为一级远景成矿靶区，这与很多相关研究结果基本一致，从而表明该方法能被有效应用于圈定找矿靶区。

Research on the Location Prediction of Gold Deposit in Altay of Xinjiang With the Entropy-Weighted Method

This paper combines entropy and gray correlation degrees to study the relationship between geological variables and
ore units to locate ore targets. The 87 key geological variables are obtained from geological, geochemical and geophysical data.
Based on the theories and methods of metallogenic prognosis by using synthetic information, the study area (in Altay, Xinjiang)
is divided to 16 gold deposit concentrated areas and 14 gold anomaly-concentrated areas. Then, this article introduces entropyweighted
method to deal with qualitative and quantitative variables, respectively, and then use the gray correlation to describe
the similarities between the deposit units. The results show that gravitational gradient, aeromagnetic, and catchment are effective
indicators to look for gold mines and unit number 6, 22, 18, 19 and so on contain a large gold deposit, respectively, which was
confirmed by other means. This shows that the method can be effectively applied to delineate and assess ore-finding targets.