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成矿预测数据统计方法
引用本文:万丽,王庆飞,高帮飞,王颖,周应华,徐浩. 成矿预测数据统计方法[J]. 现代地质, 2005, 19(4): 615-620
作者姓名:万丽  王庆飞  高帮飞  王颖  周应华  徐浩
作者单位:1中国地质大学 地质过程与矿产资源国家重点实验室,北京100083;2中国地质大学 岩石圈构造、深部过程及探测技术教育部重点实验室,北京100083;3广州大学 数学与信息科学学院,广东 广州510006
基金项目:国家重点基础研究规划项目(2003CB214600);教育部科学技术研究重点项目(03178);教育部跨世纪人才基金项目;国家自然科学基金重点项目(40172036).
摘    要:利用统计方法对已有数据进行处理,进而推断其内部规律,并据此进行隐伏矿体定位仍是成矿预测的主流。从数学理论分析角度,讨论多元统计、地质统计分析、分形和随机过程等多种方法的数学表述及其物理内涵,并分析了这些方法及其分支的内在联系。针对数学方法的特点与地质数据的属性,提出了Weibull分布模型、自仿射分形和随机点过程分析是成矿预测领域较有应用前景的方法;多种传统方法相互配合使用,不但有利于数据集的深度挖掘,还会促进更有效的数学工具的开发。给出了Weibull分布与分形模型的配合使用有效描述胶东矿集区大尹格庄金矿成矿元素分布的应用实例。

关 键 词:成矿预测  统计分析  分形  随机过程  
文章编号:1000-8527(2005)04-0615-06
收稿时间:2005-01-20
修稿时间:2005-10-09

Statistical Methods on Metallogenic Prognosis Data Processing
WAN Li,WANG Qing-fei,GAO Bang-fei,WANG Ying,Zhou Ying-hua,XU Hao. Statistical Methods on Metallogenic Prognosis Data Processing[J]. Geoscience of Geosciences, 2005, 19(4): 615-620
Authors:WAN Li  WANG Qing-fei  GAO Bang-fei  WANG Ying  Zhou Ying-hua  XU Hao
Affiliation:1State Key Laboratory of Geological Processes and Mineral Resources,China University of Geosciences, Beijing100083,China;;2Key Laboratory of Lithosphere Tectonics and Lithoprobing Technology of Ministry of Education , China University of Geosciences, Beijing100083,China;;3School of Mathematics and Information Science, Guangzhou University, Guangzhou, Guangdong510006, China
Abstract:Processing the data obtained by statistical method and deducing their intrinsic regulations an important approach for the locaton of concealed ore body. From the point of view of mathematic principle analysis, the authors discussed the mathematic principles and physical meanings of multivariate statistical analysis, geological statistical analysis, fractal and random process, and also illuminated the relation among the different methods. Based on the characteristics of mathematic methods and the attributes of geological data, it was suggested that self-affine fractal and random process analysis would have an expansive foreground in metallogenic prognosis. The joint application of the traditional mathematic methods facilitates the data analysis and the method improvement. For instance, the assembled employment of Weibull model and the fractal succeeded in describing the distribution of the ore-forming elements of the Dayingezhuang ore deposit, Jiaodong Peninsula.
Keywords:metallogenic prognosis    statistical analysis    fractal    random process
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