特征分析法运用在福建毛洋头铀矿田的靶区圈定及优选  

DELINEATION AND OPTIMIZATION OF TARGETS IN MAOYANGTOU URANIUM OREFIELD BY MRAS-BASED EIGEN-ANALYSIS

作　　者：王杰亭[1,2,3] 刘蓉蓉[2] 方锡珩[2] 刘争[1] 赵海玲[1,3] 

机构地区：[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

出　　处：《地质与资源》2011年第5期376-379,共4页Geology and Resources

基　　金：中国核工业地质局项目(编号:1212010733812)资助

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.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.

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 

分 类 号：P619.14[天文地球—矿床学]