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多因素套合分析法在辽河群地层区铅锌矿成矿预测中的应用
引用本文:王恩德,傅海涛,傅建飞,田林浩.多因素套合分析法在辽河群地层区铅锌矿成矿预测中的应用[J].地质与资源,2005,14(4):279-282,296.
作者姓名:王恩德  傅海涛  傅建飞  田林浩
作者单位:1. 东北大学, 辽宁沈阳 110014;2. 辽宁省地质矿产勘查局, 辽宁沈阳 110032;3. 中国地质大学地球物理与信息技术学院, 北京 100083;4. 内蒙古自治区地质调查院, 呼和浩特 010020
基金项目:在开展此项工作过程中,得到了辽宁省地调院李朝阳的大力支持,在此深表谢意.
摘    要:多因素套合分析法是一种简便、快捷、有效的基于GIS的成矿预测方法.辽宁省地质矿产勘查局应用该方法在辽西杨家杖子多金属矿田外围进行成矿预测,在一个靶区内找到2个矿床.本文介绍了应用该方法在辽宁东部辽河群地层区进行铅锌矿成矿预测的工作过程和取得的成果.通过本次研究,作者认为辽河群地层区在铅锌矿找矿方面仍有较大的潜力,推测在5个找矿靶区中有可能找到多处小到中型铅锌矿床.

关 键 词:套合分析  辽河群  铅锌矿  成矿预测  GIS  
文章编号:1671-1947(2005)04-0279-05
收稿时间:2005-04-04
修稿时间:2005年4月4日

APPLICATION OF MULTIFACTOR OVERLAP ANALYSIS IN THE METALLOGENIC PROGNOSIS FOR LE AD-ZINC ORE IN LIAOHE GROUP
WANG En-de,FU Hai-tao,FU Jian-fei,TIAN Lin-hao.APPLICATION OF MULTIFACTOR OVERLAP ANALYSIS IN THE METALLOGENIC PROGNOSIS FOR LE AD-ZINC ORE IN LIAOHE GROUP[J].Geology and Resources,2005,14(4):279-282,296.
Authors:WANG En-de  FU Hai-tao  FU Jian-fei  TIAN Lin-hao
Institution:1. Northeastern University, Shenyang 116014, China;2. Liaoning Bureau of Geology and Mineral Exploration, Shenyang 110032, China;3. Institute of Geophysics and Information Tecthnology, China University of Geosciences, Beijing 100083, China;4. Inner Mongolian Geological Survey, Hohhot 010020, China
Abstract:The multifactor overlap analysis,based on GIS(Geographic Informatio n System),is a new method of metallogenic prognosis,by which two nonferrous metallic deposits have been found within one target in Western Liaoning Province. In this paper,the authors introduce the result of the method applying in leadzinc ore metallogenic prognosis in Liaohe group in Eastern Liaoning.The Liaohe group covers 7%land of the province,but about 43%of lead-zinc deposits occur in the stratum.Therefore Liaohe group has a great potential for lead-zinc ore prospecting.With the multifactor overlap analysis,5 prospect areas and 11 targ ets are determined in Liaohe group.And more small or medium sized deposits are expected.
Keywords:overlap analysis  Liaohe group  lead-zinc ore  metallogenic prognosis  GIS
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