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新疆阿尔泰地区大型、超大型金矿床的定量预测研究
引用本文:申维,骆社周.新疆阿尔泰地区大型、超大型金矿床的定量预测研究[J].科技导报(北京),2006,24(2):53-55.
作者姓名:申维  骆社周
作者单位:中国地质大学国土资源与高新技术研究中心 地质过程与矿产资源国家重点实验室,中国地质大学国土资源与高新技术研究中心,地质过程与矿产资源国家重点实验室,北京100083,北京100083
基金项目:国家重点基础研究发展计划项目(2006CB701406),国家自然科学基金项目(40172099),地质过程与矿产资源国家重点开放实验室基金资助
摘    要:应用数量化理论和特征分析方法,对新疆阿尔泰地区金矿床密集区和异常密集区进行了综合性圈定和定量研究,建立了扩展模型。在研究区内共划分金矿床密集区16处(即有金矿床单元)和金异常密集区14处(即为预测单元),其中有2个单元存在大型金矿床。在地质、物探、化探、重砂等资料研究的基础上提取了综合信息地质变量,通过这些地质变量建立数量化理论数学模型后,得出以下预测结果:22号单元和19号单元有较大可能存在大型金矿床。该方法不仅适用于金元素和金矿床,而且还适用于其它元素和矿床,具有普遍的意义。

关 键 词:数量化理论  定位预测  定性变量
文章编号:1000-7857(2006)02-0053-03
收稿时间:2005-06-18
修稿时间:2005年6月18日

Study of Quantitative Prediction for Large-and Super-Large-Sized Gold Mineral Deposits in Xinjiang
SHEN Wei,LUO She-zhou.Study of Quantitative Prediction for Large-and Super-Large-Sized Gold Mineral Deposits in Xinjiang[J].Science & Technology Review,2006,24(2):53-55.
Authors:SHEN Wei  LUO She-zhou
Institution:State Key Laboratory of Geo-Processes and Mineral Resources, China University of Geosciences, Beijing 100083, China
Abstract:The quantification theory and characteristic analysis are been applied to qualitative research into and comprehensive delineation for the gold deposit concentrated regions and the anomaly regions in Xinjiang Province. Then the extended model is established in this paper. The research areas are divided into 16 model cells that contain gold deposits and 14 forecast cells that contain anomalies of element Au but don't contain gold deposits. There are two model cells that contain a large-sized deposit. The geological variables or factors are obtained by geological, geochemical and geophysical information. The mathematical model of quantification theory is built by these geological variables. The forecast results are given below: Cell number 22 and 19 possibly contain a large-sized gold deposit respectively. The method proposed in this paper can be applied not only to the gold deposit, but also to other mineral. In this sense. this method is universal in application.
Keywords:quantification theory  orientating prediction  qualitative variables
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