首页 | 本学科首页   官方微博 | 高级检索  
     检索      

香花岭地区成矿有利程度特征分析定量模型研究与应用
引用本文:陈炳贵.香花岭地区成矿有利程度特征分析定量模型研究与应用[J].地球物理学进展,2010,25(2):663-673.
作者姓名:陈炳贵
作者单位:南昌工程学院,南昌,330099
摘    要:本文应用特征分析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矿化程度进行深入分析,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.定量地给出预测该区的Ⅰ级成矿远景区(中型矿区),Ⅱ级成矿远景区(小型矿区),Ⅲ级成矿远景区(矿点)的关联度和找矿标准.

关 键 词:特征分析法  定量评价与预测模型  矿化程度
收稿时间:2009-11-15
修稿时间:2010-02-20

The study and application of the characteristic analysis model for evaluating and forecasting the mineralizing degree in the Xianghualing area
CHEN Bing-gui.The study and application of the characteristic analysis model for evaluating and forecasting the mineralizing degree in the Xianghualing area[J].Progress in Geophysics,2010,25(2):663-673.
Authors:CHEN Bing-gui
Abstract:By applying the principle of integrative information mine resource the mineralizating degree in Xianghuanling area was analyzed with existing information about geology,geophysical prospection,geochemical prospection and remote sensing,etc.The 21 statistic units were filtered from 26 statistic units based catchment basins 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 models quantitatively based on characteristic analysis method were established which can be used for evaluating and 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 models.The correlation degree and standards of prospecting mines were given quantitatively for Ⅰ level perspective mine(medium-size mine),Ⅱ level perspective mines(small mines)and Ⅲ level perspective mines (mine spots)in the Xianghualing area.
Keywords:characteristic analysis method  Evaluation and prediction model quantitatively and Mineralizing degree
本文献已被 万方数据 等数据库收录!
点击此处可从《地球物理学进展》浏览原始摘要信息
点击此处可从《地球物理学进展》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号