| 多元地学信息GIS集成与融合分析在冷水坑地区成矿预测中的应用 |
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| 引用本文： | 罗泽雄,林子瑜,杨燕,万浩章,杨小鹏,刘建光.多元地学信息GIS集成与融合分析在冷水坑地区成矿预测中的应用[J].物探与化探,2012,36(3):339-343. |
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| 作者姓名： | 罗泽雄 林子瑜 杨燕 万浩章 杨小鹏 刘建光 |
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| 作者单位： | 1. 江西省地矿局912大队,江西鹰潭,335001
2. 东华理工大学长江学院,江西抚州,344000 |
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| 摘 要： | 多元地学信息GIS集成与融合分析应用于找矿的实例较少,它可以实现元素地球化学系列数据处理与分析工作,为成矿预测提供找矿靶区信息。结合冷水坑地区多元地学信息GIS集成与融合分析应用实例,对单元素、多元素地球化学场进行了综合分析,信息表明,在冷水坑地区存在一个多元地学信息环形构造,根据环形构造圈定了4个寻找隐伏银铅锌多金属矿的远景区,并在小源远景区（即银珠山矿区）寻找到一个大型银铅锌多金属矿,为区域成矿预测提供了科学依据,并提高了隐伏矿的预测效果。
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| 关 键 词： | 多元地学信息 GIS 集成与融合 成矿预测 冷水坑 |
THE APPLICATION OF MULTIPLE GEO-INFORMATION,GIS, INTEGRATION AND FUSION ANALYSIS TO THE ORE-FORMING PROGNOSIS OF LANGSHUIKENG AREA |
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| LUO Ze-xiong
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LIN Zi-yu
,
YANG Yan
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WAN Hao-zhang
,
YANG Xiao-peng
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LIU Jian-guang.THE APPLICATION OF MULTIPLE GEO-INFORMATION,GIS, INTEGRATION AND FUSION ANALYSIS TO THE ORE-FORMING PROGNOSIS OF LANGSHUIKENG AREA[J].Geophysical and Geochemical Exploration,2012,36(3):339-343. |
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| Authors: | LUO Ze-xiong LIN Zi-yu YANG Yan WAN Hao-zhang YANG Xiao-peng LIU Jian-guang |
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| Institution: | 1(1.No.912 Geological Party of JBEDGMR,Yingtan 335001,China;2.East China University of Technology,Fuzhou 344000,China) |
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| Abstract: | Multiple geo-information,GIS,integration and fusion analysis have been insufficiently used in ore-prospecting work;nevertheless,with these means,we can conduct data processing and geochemical analysis and provide more information for ore-prospecting targets.Exemplified by multiple geo-information work in Lengshuikeng area based on GIS application,integration and fusion analysis of single element and multi-element geochemical fields,this paper deals briefly with the integration of multiple GIS and geo-information fusion method.The result obtained shows that in Lengshuikeng there exists a multivariant geological information ring structure,based on which four prospective areas of concealed lead-zinc polymetallic deposits were delineated,and a large-size silver-lead-zinc polymetallic deposit was found in Xiaoyuanj prospective area(Yinzhushan ore district).These achievements provide scientific basis for regional ore prognosis and improve the effect of predicting concealed ore deposits. |
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| Keywords: | multivariate geo-information GIS integration and fusion analysis metallogenic prediction Lengshuikeng |
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