吉林省老岭成矿带北部金矿MRAS证据权重法成矿预测

MRAS evidence weight method for metallogenic prognosis of gold deposits in northern Laoling metallogenic belt,Jilin Province

本文在系统总结老岭成矿带北部金矿成矿地质条件和区域成矿规律研究的基础上,建立了矿产预测模型。利用GIS的空间分析功能提取了包括地层、断裂、地球物理异常、地球化学异常和矿化信息等5个证据因子,采用MRAS软件中的证据权重法对研究区进行分析,圈定了3处Ⅰ级找矿靶区,2处Ⅱ级找矿靶区。研究结果表明老岭成矿带北部地区已知矿床(点)绝大部分都落于找矿靶区内,显示了良好的预测效果,该结果指明了老岭成矿带北部今后的找矿方向,为新一轮的找矿工作提供了科学依据。

On the basis of systematically summarizing the metallogenic geological conditions and regional metallogenic regularity of gold deposits in the northern part of Laoling metallogenic belt,a mineral prediction model was established.Five evidential factors including strata,faults,geophysical anomalies,geochemical anomalies and mineralization information were extracted by using the spatial analysis function of GIS.Evidence weight method in MRAS software was used to analyze the study area,and three grade I prospecting targets and two grade II prospecting targets were delineated.The results show that,most of the known deposits(points)in the northern part of the Laoling metallogenic belt are located in the prospecting target area,which shows a good prediction effect.The results poirt out the prospecting direction of the northern part of the Laoling metallogenic belt in the future and provide a scientific basis for the new round of prospecting work.