基于GIS的信息量法在矿产预测中的应用——以澜沧三岔河坝子铅锌矿为例  

Application of GIS-based information value method inprediction of mineral resources:a case study of Sanchahebazi Pb-Zn deposit

作　　者：马宏斌[1] 

机构地区：[1]中国建筑材料工业地质勘查中心甘肃总队,甘肃天水741000

出　　处：《矿产与地质》2017年第2期414-419,共6页Mineral Resources and Geology

基　　金：国家自然科学基金项目(41272111);中国科学院地球化学研究所矿床地球化学国家重点实验室开放基金项目(2011001)共同资助

摘　　要：在研究矿床地质特征的基础上,运用矿床统计预测方法和GIS技术,对地质、化探、遥感等成矿信息分析提取,选取有利矿化标志及控矿因素,借助矿产资源评价分析系统Morpas,采用信息量法计算出矿化、断裂构造、地层、遥感、化探异常18个单变量信息,地层组合熵、构造复杂度2个复合变量信息和综合信息量,厘定找矿信息量临界值(3),进而圈定有利成矿靶区8处,其中3个A级,3个B级,2个C级,提高了预测的准确度和精度,为下一步工程验证提供了依据。Based on the study of the geological characteristics of the deposit,through applying statistical forecasting method and GIS technology on the deposit,this paper extracted geological,geochemical and remote sensing information and other metallogenic information,and it selected the favorable marks of mineralization and ore-controlling factors.Aided by Morpas（a mineral resource evaluation and analysis system）and information value method,the paper worked out 18single-variable information（mineralization,fault structure,formation,remote sensing information,and geochemical anomaly）and 2composite variable information and integrated information value（formation combination entropy and structural complexity）.The author defined the prospecting information value threshold（3）and blocked out 8favorable metallogenic targets（three A＇s,three B＇s and two C＇s）.The method put forward by the author increased accuracy of prediction and provided basis for engineering verification works in the future.

关 键 词：找矿信息量法 定量预测 铅锌矿 成矿靶区 

分 类 号：P628.2[天文地球—地质矿产勘探]