基于累积贡献率的铝土矿成矿概率预测仿真  

Simulation of Probability Prediction of Bauxite Mineralization Based on Cumulative Contribution Rate

作　　者：朱超超 聂艳敏 赵琳颖 ZHU Chao-chao;NIE Yan-min;ZHAO Lin-ying(Henan No.2 Institute of Geology and Mineral Resources Survey Co.,Ltd Zhengzhou Henan 450000,China)

机构地区：[1]河南省第二地质矿产调查院有限公司,河南郑州450000

出　　处：《计算机仿真》2025年第2期371-375,共5页Computer Simulation

基　　金：几内亚卡拉纳(Kalana)地区NoA2016/080、081矿权区金矿预查。

摘　　要：地质条件的复杂性和不确定性导致铝土矿成矿预测难度增大,为提高成矿预测的准确性,提出了一种融合GIS与证据权重法的铝土矿成矿预测方法。利用遥感技术和肖维涅算法采集多元地质数据,并基于该数据构建GIS数据库,提高对多元地质数据的分析能力,为成矿预测提供数据基础。采用因子分析法计算公共因子的累积贡献率,根据计算结果在GIS数据库中获得与铝土矿成矿相关的证据因子。通过证据权重法获得各证据因子的权重,并根据权重值获得因子对铝土矿形成的影响程度,进而确定利于成矿的因子,根据成矿因子的权重计算成矿概率,以完成铝土矿成矿预测。仿真实验结果表明,该方法的因子提取效果好、成矿预测准确性高。The complexity and uncertainty of geological conditions increase the difficulty of predicting bauxite mineralization.In order to improve the accuracy of bauxite mineralization prediction,this paper puts forward a bauxite mineralization prediction method combining GIS and evidence weight method.Using remote sensing technology and Chauvigne algorithm to collect multivariate geological data,and building a GIS database based on this data,the analysis ability of multivariate geological data is improved,and the data base is provided for metallogenic prediction.The cumulative contribution rate of common factors is calculated by factor analysis method,and the evidence factors related to bauxite mineralization are obtained in GIS database according to the calculation results.The weight of each evidence factor is obtained by the evidence weight method,and the influence degree of each factor on bauxite formation is obtained according to the weight value,so as to determine the factors beneficial to mineralization,and calculate the metallogenic probability according to the weight of metallogenic factors,so as to complete the bauxite metallogenic prediction.The simulation results show that this method has good factor extraction effect and high accuracy of metallogenic prediction.

关 键 词：GIS 证据权重法 铝土矿成矿预测 证据因子 多元地质数据 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]