西南印度洋中脊多金属硫化物矿产资源评价方法与指标体系  

Evaluation Methodology and Indicator System of Polymetallic Sulfide Mineral Resources in the Southwest Indian Ocean

作　　者：邵珂[1,2] 陈建平[1,2] 任梦依 

机构地区：[1]中国地质大学(北京),北京100083 [2]中国地质大学(北京)国土资源与高新技术研究中心/北京市国土资源信息开发研究重点实验室,北京100083

出　　处：《地球科学进展》2015年第7期812-822,共11页Advances in Earth Science

基　　金：中国大洋协会国际海域资源调查与开发"十二五"课题"多金属硫化物资源评价方法研究"(编号:DY125-11-R-02)资助

摘　　要：根据对海底多金属硫化物矿床成矿机理、成矿地质环境和地质异常信息的研究,确定了水深、构造、地震、重力异常、磁力异常等9项评价因子,通过指标标准化处理,建立了指标体系。采用层次分析法设计了4个层次的递阶结构模型。通过建立比较矩阵,确定了各层次因子的权重,形成了一套完善的评价方法和指标体系。根据评价结果,最有利区域(Ⅰ类区)占工区面积的58.33%,比较有利的前景区域(Ⅱ类区)占32.41%,二者也是近期突破的重点目标区。为下一步缩小勘探目标区提供了依据。Based on the research of minerogenetic condition, ore-control factors, metallogenic geological envi- ronment and geological anomaly of polymetallic sulfide in Indian Ocean, the nine evaluation factors include water depth, structure, earthquake, gravity anomalies, magnetic anomalies, etc. were extracted and standardized. Ac- cording to hierarchy analysis method, a structural model of four levels was designed. The comparison matrix was es- tablished to determinate thefactor weight. A set of perfectEvaluation methodology and indicator system was estab- lished. The results showed that the most favorable prospecting areas cover 58.33% of the research area and the more favorable prospecting areas cover 32.41% of the research area. This two areas are mainprospecting targets. This research findings provided a basis for lessening the target area in the future.

关 键 词：印度洋 多金属硫化物矿床 层次分析 地质异常 指标体系 

分 类 号：P724[天文地球—海洋科学]