节点文献

贵州铜仁地区锰矿定量预测与评价

Quantitative prediction and evaluation of manganese deposit in Tongren area,Guizhou Province

  • 推荐 CAJ下载
  • PDF下载
  • 不支持迅雷等下载工具,请取消加速工具后下载。

【作者】 李素雅陈建平刘畅

【Author】 Li Suya;Chen Jianping;Liu Chang;School of Earth Sciences and Resources, China University of Geosciences (Beijing);Beijing Key Laboratory for Land and Resources Information Research & Development;

【通讯作者】 陈建平;

【机构】 中国地质大学(北京)地球科学与资源学院北京市国土资源信息研究开发重点实验室

【摘要】 应用地质、化探、物探、遥感等手段和资料进行多元信息成矿预测已成为找矿工作的重要方法。以贵州铜仁地区锰矿为研究对象,基于研究区与成矿相关的多元信息,建立区域找矿模型;运用GIS技术对多元信息进行综合处理并提取有利成矿信息,形成找矿标志专题图层,构成找矿预测指标集;利用证据权重法建立锰矿综合预测模型,结合研究区成矿地质条件、已知锰矿床(点)等因素,确定找矿有利地区,并圈定7个远景区,为发现大规模锰矿产地提供参考。

【Abstract】 The application of geological, geochemical, geophysical, remote sensing and other means and data to achieve multivariate information metallogenic prediction has become an important method in ore prospecting. Taking the manganese deposit in Tongren area of Guizhou as the research object, the regional prospecting model was established based on the multivariate information related to mineralization in the study area. GIS was used to comprehensively process multivariate information and extract favorable ore-forming information to form the thematic layer of prospecting indicators, which constitutes the prospecting index set. The comprehensive prediction model of manganese deposit was established by weight of evidence method, and the favorable ore-prospecting areas were determined by combining the ore-forming geological conditions and known manganese deposits(occurrences) in the study area, and seven prospective areas were delineated to provide reference for the discovery of large-scale manganese deposits.

【基金】 GF科技重点实验室基金项目“基于地质大数据分析的矿产预测关键技术研究”(73952020006)
  • 【文献出处】 地质学刊 ,Journal of Geology , 编辑部邮箱 ,2023年02期
  • 【分类号】P618.32
  • 【下载频次】9
节点文献中: 

本文链接的文献网络图示:

本文的引文网络