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基于GIS的桂西—滇东南锰矿资源预测及靶区圈定

Prediction of Mineral Resources and Delineation of Target Area Based on GIS for Manganese Ore in West Guangxi and Southeast Yunnan

【作者】 闫芳

【导师】 戴塔根; 毛先成;

【作者基本信息】 中南大学 , 矿物学岩石学矿床学, 2011, 硕士

【摘要】 随着锰矿床勘探开发强度的不断加大,运用传统方法寻找锰矿床的难度日益增大,基于GIS的矿产资源预测评价,以其对地、物、化、遥等多源地学空间数据的存储管理、成矿信息的分析与集成、预测评价成果的可视化,为寻找难识别矿提供了良好的技术支持。本论文以国家“十一五”科技支撑计划重大课题“桂西一滇东南大型锰矿勘查技术与评价研究”(编号:2006BAB01A12)为依托,从GIS在矿产预测中的功能出发,以锰矿成矿规律研究为指导,以地、物、化、遥、矿等资料为基础,完成了基于GIS的锰矿资源定量预测及靶区圈定。首先,建立了“纵向分层、横向分块”的多元地学空间数据库来有效存储锰矿信息;其次,采用GIS空间分析技术和回归分析方法对锰矿数据库中成矿信息进行定量分析与提取,构建了锰矿找矿预测评价指标集;然后,运用组合作用域线性回归分析和证据加权法建立了基于GIS的锰矿综合找矿评价模型(锰矿资源量预测模型和锰矿成矿有利度预测模型),应用该模型完成了1/20万预测远景区圈定;最后,结合示范区内已知锰矿成矿模式,研究典型锰矿控矿因素,通过对控矿标志的GIS空间分析,在Ⅰ、Ⅱ类预测远景区中圈定出了1/5万找矿靶区。

【Abstract】 With the development of Manganese deposit exploration, traditional methods to target the manganese deposit is getting limted. The new mineral resource prediction method discussed in this study based on GIS which combine the multiple geological spatial data, geophysical, geochemical information and remote sensing, is a useful method to integrate metallogenic information, and to predict the visualization results.This topic is supported by the National 11th Five-Year scientific and technological Plan_"Large-scale manganese mine prospecting techniques and evaluation of research in West Guangxi-Southeast Yunnan" (No: 2006BAB01A12) which is hosted by my advisor.The methods are on the basis of the function of GIS in mineral resources prediction, through studying the ore-forming control factors and regularity, integrated the geological, geophysical, geochemical information, and the interpretation of remote sensings into a database, then used the relative information to target the new manganese prospect. First of all, the multi-spatial database of geological "vertical stratification, horizontal block" is established to store the information of manganese deposits. Secondly, the GIS spatial analysis technology and regression analysis are used to quantitative analysis and extract the most important ore-forming components (index collection) in the manganese ore database. And then, a model (Resources prediction model and Metallogenicl favourability degree model) is constructed to predict the new prospect (1/20 million). Finally, on the basis of study on the ore-control factors of specific known manganese deposit, GIS spatial analysis method can be used to present the detailed exploration target (1/5 million) in the above mentioned prospect.

  • 【网络出版投稿人】 中南大学
  • 【网络出版年期】2012年 01期
  • 【分类号】P618.32;P208
  • 【被引频次】2
  • 【下载频次】250
  • 攻读期成果
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