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J4 ›› 2011, Vol. 17 ›› Issue (4): 521-530.

• 岩石学与矿床学 • 上一篇    下一篇

基于熵权法的新疆阿尔泰成矿区金矿床定位预测研究

张明超, 申 维, 崔 静, 陈 辉, 刘向冲   

  1. 地质过程与矿产资源国家重点实验室,岩石圈构造、深部过程及探测技术教育部重点实验室,中国地质大学,北京 100083
  • 收稿日期:2011-07-25 修回日期:2011-09-20 出版日期:2011-12-20 发布日期:2011-12-20
  • 通讯作者: 申维,男,教授,博士生导师,长期从事非线性地质学的科研和教学工作;
  • 作者简介:张明超,男,1987年生,在读硕士研究生,地球探测与信息技术专业;E-mail:376160728@qq.com
  • 基金资助:

    国家自然科学基金项目(40672196,41172302)和高等学校学科创新引智计划资助(B07011)联合资助

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

ZHANG Ming-chao, SHEN Wei, CUI Jing, CHEN Hui, LIU Xiang-chong   

  1. State Key Laboratory of Geo-Processes and Mineral Resources, Key Laboratory of Lithosphere Tectonics and Lithoprobing Technology
    of Ministry of Education, China University of Geosciences, Beijing 100083, China
  • Received:2011-07-25 Revised:2011-09-20 Online:2011-12-20 Published:2011-12-20
  • Contact: Shen Wei, Professor; E-mail:shenwei@cugb.edu.cn

摘要:

      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。

关键词: 熵权法, 灰色关联度, 定位预测, 金矿床

Abstract:

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.

Key words: Entropy-weight Method, Method of gray correlation degree, Location prediction, Gold deposit

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