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基于GIS和证据权重法的那仁宝力格地区铜多金属矿成矿预测
引用本文:李建国,肖克炎,刘永顺,杨俊泉.基于GIS和证据权重法的那仁宝力格地区铜多金属矿成矿预测[J].吉林大学学报(地球科学版),2013,43(4):1151-1158.
作者姓名:李建国  肖克炎  刘永顺  杨俊泉
作者单位:1.中国地质大学(北京)地球科学与资源学院,北京100083; 2.天津地质矿产研究所,天津300170; 3.中国地质科学院矿产资源研究所,北京100037
基金项目:中国地质调查局地质大调查项目
摘    要:根据那仁宝力格地区主要铜多金属矿床成矿规律,利用GIS平台提取地、物、化、遥等多元地质找矿信息,在MRAS系统中开展了基于18个成、控矿要素的铜多金属矿成矿预测与评价。根据后验概率值大小编制了成矿后验概率等值线图,划分了4个等级的找矿条件和9个找矿远景区。结果表明,预测模型有效,近95%的已知矿床(点)位于D级及以上找矿有利地区。在众多成、控矿要素中,增隆昌组与阿古鲁沟组、构造信息、遥感组合异常、铁族元素地球化学组合异常等具有较大权重。新圈定的那仁宝力格找矿远景区和霍各乞南部找矿远景区是下一步研究区寻找新的铜多金属矿床的重点地区。

关 键 词:多元地学信息  GIS  证据权重法  成矿预测  那仁宝力格地区  矿床  
收稿时间:2012-12-28

Metallogenic Prognosis of Copper Polymetallic Mineral Resources in Narenbaolige Area on Basis of Weights of Evidence Method and GIS
Li Jianguo,Xiao Keyan,Liu Yongshun,Yang Junquan.Metallogenic Prognosis of Copper Polymetallic Mineral Resources in Narenbaolige Area on Basis of Weights of Evidence Method and GIS[J].Journal of Jilin Unviersity:Earth Science Edition,2013,43(4):1151-1158.
Authors:Li Jianguo  Xiao Keyan  Liu Yongshun  Yang Junquan
Institution:1.School of Earth Sciences and Resources,China University of Geosciences(Beijing),Beijing100083,China;
2.Tianjin Institute of Geology and Mineral Resouces,Tianjin300170,China;
3.Institute of Mineral Resources,Chinese Academy of Geological Sciences,Beijing100037,China
Abstract:On the basis of metallogenic regularities of copper polymetallic deposits in Narenbaolige area and adjacent region, multivariate geological prospecting information is extracted by GIS software, including geological, geophysiccal,geochemical and remote sensing data. These data were divided into 18 mineralized variations. Weight of evidence modeling is applied to map copper polymetallic potential areas based on MRAS software in this study area. Four grades metallogenic condition and nine mineralization vision zones were delineated based on the posterior probability map. The result indicated that the model is efficient,and up to 95% deposits are located in the area which was equal or better than Grade-D favorable prospecting area. Among the ore-forming and ore-controlling factors, strata of Zenglongchang Group and Agulugou Formation, liner structure, combination RS alteration and combination geochemical anomalies of iron group elements have greater weight than other factors. Narenbalige mineralization vision zones and South Huogeqi mineralization vision zone have good prospects for finding undiscovered Cu, Pb, Zn and Fe mineral resources.
Keywords:multivariate geological information  geographic information system (GIS)  weight of evidence modeling  metallogenic prognosis  Narenbaolige area  ore deposits
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