Journal of Petrochemical Universities

Journal of Petrochemical Universities ›› 2007, Vol. 20 ›› Issue (3): 24-28.

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Appraisal of Gold Mineral Resources With Mo re Developed Value in Guizhou Province

  

  1. 1. School of Information Science and Engineering, Northeastern University, Shenyang Liaoning 110004,P.R. China;
    2. School of Science, University of Science and Technology Liaoning, Anshan Liaoning 114051,P.R. China;  
    3. Guizhou Geological Survey,Guiyang Guizhou 550004,P.R. China
  • Received:2007-02-05 Online:2007-09-20 Published:2017-07-05

贵州省区内金矿远景区预测

刘洪1,2 , 廖丽萍3 , 张庆灵1   

  1. 1.东北大学信息科学与工程学院, 辽宁沈阳110004;
    2.辽宁科技大学理学院, 辽宁鞍山114044;
    3.贵州省地调院, 贵州贵阳550004
  • 作者简介:刘洪(1967 -), 女, 辽宁鞍山, 教授, 博士
  • 基金资助:
    国家自然科学基金项目(10671001)。

Abstract:

Under guidance of the general theory and method of synthetic information of mineral appraisal, 107 areas were classified by geological unit methods in Guizhou,taken 18 areas of Au deposit concentrated regions as model units and 89 areas of  anomaly concentrated regions as prediction units, the theory of quantification IV was used to classify all the samples and established the model of orientation prediction for all the same samples by the way of character analysis. And extended the application of model units of Au deposit concentrated regions into the field of the Au anomaly concentrated regions. All the units base on the probabilities of forming gold mine were classified. 22 working areas with more developed value in future were selected. The orientation prediction drawing of Au anomaly concentrated regions in Guizhou was finished. It provides some scientific proofs to the field in orientation prediction of large gold mineral deposit concentrated regions in Guizhou province.

Key words:

摘要: 在综合信息矿产预测理论与方法指导下, 利用地质体单元法在贵州省区内划分出107 个单元, 其中
18 个金密集单元, 89 个金异常密集单元。应用数量化理论Ⅳ首先对样品进行分类, 对同一母体样品运用特征分析建
立定位预测模型, 以金矿床密集区为模型单元, 外推到金异常密集单元, 由成矿概率对各单元的成矿可能性进行分
级, 预测出22 个最有远景的工作区, 绘制出贵州省金矿床异常密集区定位预测图, 为首次在贵州省区内开展的大型
金矿床密集区定位预测提供科学依据。

关键词: 金异常密集区 , 地质变量 , 定位预测

Cite this article

LIU Hong, LIAO Li-ping, ZHANG Qing-ling. Appraisal of Gold Mineral Resources With Mo re Developed Value in Guizhou Province[J]. Journal of Petrochemical Universities, 2007, 20(3): 24-28.

刘洪, 廖丽萍,张庆灵. 贵州省区内金矿远景区预测[J]. 石油化工高等学校学报, 2007, 20(3): 24-28.

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