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信息不对称条件下的成矿信息集成方法
引用本文:樊俊昌,毛先成,邹品娟,曹芳,胡超,张宝一. 信息不对称条件下的成矿信息集成方法[J]. 中国有色金属学报, 2012, 0(3): 940-947
作者姓名:樊俊昌  毛先成  邹品娟  曹芳  胡超  张宝一
作者单位:1. 中南大学有色金属成矿预测教育部重点实验室,长沙410083
2. 中南大学地球科学与信息物理学院,长沙410083
3. 山金西部地质矿产勘查有限公司,西宁810016
基金项目:国家“十二五”科技支撑计划资助项目(2011BAB04B10);国家自然科学基金资助项目(41172297)
摘    要:针对目前成矿信息不对称等的问题,提出组合作用域信息集成方法,并以桂西—滇东南地区锰矿为例,利用线性回归分析进行了资源量预测。通过成矿信息场分析方法,提取某些地质类的成矿信息,并建立了桂西—滇东南地区锰矿成矿预测指标集,同时考虑到模型区和预测区的找矿信息不对称问题,采用组合作用域集成线性回归分析,建立研究区锰矿资源量预测模型。实例分析表明,采用组合作用域信息集成预测模型能精细、有效地对研究区中的锰矿资源量进行预测,其预测结果对进一步找矿具有很好的指导意义,利用组合作用域信息集成方法可帮助解决成矿信息不对称的问题。

关 键 词:成矿信息  组合作用域  线性回归  成矿信息不对称

Integration method for metallogenic information under condition of metallogenic information asymmetry
FAN Jun-chang,MAO Xian-cheng,ZOU Pin-juan,CAO Fang,HU Chao,ZHANG Bao-yi. Integration method for metallogenic information under condition of metallogenic information asymmetry[J]. The Chinese Journal of Nonferrous Metals, 2012, 0(3): 940-947
Authors:FAN Jun-chang  MAO Xian-cheng  ZOU Pin-juan  CAO Fang  HU Chao  ZHANG Bao-yi
Affiliation:1,2(1.Key Laboratory of Metallogenic Prediction of Nonferrous Metals,Ministry of Education,Central South University,Changsha 410083,China;2.School of Geosciences and Info-Physics,Central South University,Changsha 410083,China;3.Shanjin Western Geological and Mineral Exploration Co.,Ltd.,Xining 810016,China)
Abstract:Focusing on the issue of metallogenic information asymmetry,a new method of metallogenic information integration based on combination domains was proposed,and an instance study of manganese resources prediction using the linear regression analysis was made by taking the Western Guangxi—Southeastern Yunnan areas as an example.Through the field analysis method of metallogenic information,some kinds of geological metallogenic informations were extracted,and the index set of metallogenic prognosis in the West Guangxi—Southeast Yunnan was built.Considering the issue of metallogenic information asymmetry between the model area and the prediction area,the prediction model of manganese resource was built using the linear regression analysis based on the integration of combination domains.The instance study indicates that the linear regression model based on integration of combination domains can be used to predict the manganese resource more precisely and effectively,which can resolve some issues of metallogenic information asymmetry,and the prediction results have indicative significance to the further predicting.
Keywords:metallogenic information  combination domains  linear regression  metallogenic information asymmetry
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