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特征分析法运用在福建毛洋头铀矿田的靶区圈定及优选
引用本文:王杰亭,刘蓉蓉,方锡珩,刘争,赵海玲.特征分析法运用在福建毛洋头铀矿田的靶区圈定及优选[J].地质与资源,2011,20(5):376-379.
作者姓名:王杰亭  刘蓉蓉  方锡珩  刘争  赵海玲
作者单位:1. 中国地质大学, 北京 100083;2. 核工业北京地质研究院, 北京 100029;3. 岩石圈构造、深部过程及探测技术教 育部重点实验室, 北京 100083
摘    要:以深入分析福建省毛洋头铀矿田成矿特征为前提,以总结、收集、处理研究区内地质、矿产、遥感等多源信息为手段,借助MRAS技术平台,采用人机互动式的特征分析方法,对该矿田的铀矿资源进行了定位预测与评价,初圈靶区16片,并最终优选出8片.该预测结果对本区下一步火山岩型铀矿的勘查布置及找矿工作具有积极的指导意义.

关 键 词:MRAS软件  人机互动  特征分析法  靶区圈定  毛洋头铀矿田  福建省  
收稿时间:2011-05-03

DELINEATION AND OPTIMIZATION OF TARGETS IN MAOYANGTOU URANIUM OREFIELD BY MRAS-BASED EIGEN-ANALYSIS
WANG Jie-ting,LIU Rong-rong,FANG Xi-heng,LIU Zheng,ZHAO Hai-ling.DELINEATION AND OPTIMIZATION OF TARGETS IN MAOYANGTOU URANIUM OREFIELD BY MRAS-BASED EIGEN-ANALYSIS[J].Geology and Resources,2011,20(5):376-379.
Authors:WANG Jie-ting  LIU Rong-rong  FANG Xi-heng  LIU Zheng  ZHAO Hai-ling
Institution:1. China University of Geosciences, Beijing 100083, China;2. Beijing Research Institute of Uranium Geology, Beijing 100029, China;3. Key Laboratory of Lithosphere Tectonics and Lithoprobing Technology of Ministry of Education, China University of Geosciences, Beijing 100083, China
Abstract:The ore-forming characteristics of the Maoyangtou uranium orefield in Fujian Province are thoroughly analyzed,with collecting,summing up and processing of the multi-source information of geology,minerals and remote sensing.Supported by the Mineral Resources Assessment System(MRAS),the eigen-analysis method of man-machine interaction is adopted to predict and evaluate the uranium resource in the orefield.Sixteen targets are preliminarily delineated,of which eight are optimized.The result will provide significant references for further exploration for the volcanic type of uranium deposits in this area.
Keywords:MRAS  man-machine interaction  eigen-analysis  target delineation  Maoyangtou uranium orefield  Fujian Province
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