香花岭矿田综合信息找矿模型研究与应用  

Study and application of searching mineral model by integrative information for Xanghualing mineral deposit

作　　者：陈炳贵[1] 鞠述晔 赵银光 朱宁涛 

机构地区：[1]南昌工程学院,南昌330099 [2]威海中威地震工程有限公司,威海264200 [3]济南深科地矿工程勘察有限公司,济南250101 [4]济南岭秀百川矿业咨询有限公司,济南250101

出　　处：《地球物理学进展》2013年第6期3254-3269,共16页Progress in Geophysics

摘　　要：本文应用综合信息矿产资源评价的原理,利用现有地质、物化探、遥感资料对香花岭地区的综合信息找矿模型进行深入分析,提出了该区典型矿床的综合信息模型、地球物理综合信息找矿模型、地球化学综合信息找矿模型及其模型建立的方法.在此基础上,根据相应的数理统计方法,进行统计单元的研究选择及变量的研究提取,建立其该区特征分析定量模型和逻辑信息定量预测模型.以汇水盆地为统计单元并通过应用数量化理论Ⅲ分别从26个统计单元中筛选出21个单元作为模型单元,从47个变量中筛选出41个变量,建立多矿种和单矿种特征分析定量模型4个,对该区不同的单元矿化程度进行定量评价和预测研究.定量地预测该区的Ⅰ级成矿远景区(中型矿区)4个,Ⅱ级成矿远景区(小型矿区)4个,Ⅲ级成矿远景区(矿点)1个.In this paper, through application of the principle of integrative information mine resource, searching mineral model of integrative information for Xanghualing mineral deposit was analyzed deeply by using existing information about geology, geophysical prospection, geochemical prospection and remote sensing, etc. It gave the searching mineral model of integrative information for representative deposits, the searching mineral model of integrative information based physical geography and geochemistry in Xanghualing area, as well as the methods of establishing the models. On the basis of the studying and selecting statistic units and variables by using relevant mathematics statistical method, evaluation and prediction math model quantitatively based characteristic analysis method and logical information method were established. The 21 statistic units were filtered form 26 statistic units based catchment basin by using Number Quantification Theory Ⅲ. The 41 variables were filtrated from 47 variables which reflect mineralizing degrees by using Number Quantification Theory Ⅲ. According to analysis of those statistic units and variables, the 4 evaluation and prediction math model quantitatively based characteristic analysis method were established which can be used for evaluating predicting multi-mineral resource and single mineral resource. The mineralizing degrees of 21 statistic units were evaluated and predicted quantitatively by using the 4 evaluation and prediction math model. The relation degree and standards of prospecting mine were given quantitatively for Ⅰ level perspective mine （medium-size mine）, Ⅱlevel perspective mine （small mine） and Ⅲlevel perspective mine （ mine spot） in Xianghualing area.

关 键 词：综合信息找矿模型 特征分析法 逻辑信息法 定量评价与预测 

分 类 号：P631[天文地球—地质矿产勘探]