摘要
以遥感为主要技术手段,对广西花山花岗岩岩体铀矿点的遥感地质特征进行研究,获取了大量与矿化有关的信息。经MapGIS平台分析地质单元、地质构造、地质复杂度、蚀变信息、热异常信息与成矿的关联度,挑选出10种与成矿有关的证据因子,建立了基于GIS的证据权重法找矿预测模型。运用证据权重模型对各成矿证据因子进行综合预测分析,计算出基于网格单元的各因子的权重值,通过各网格单元的信息量总和得出后验概率值,根据后验概率值的大小,对研究区进行铀矿找矿靶区的预测,圈定出4个级别的成矿远景区。
By remote sensing technique, a wealth of mineralization-related information is acquired from the research in remote-sensing geological characteristics of uranium minerals from Huashan granite body of Guangxi. The correlation between geological unit, geological structure, geological complexity, alterative, hot abnormal information and the mineralization is analyzed by MapGIS. Ten types of metallogenic evidence factors are selected, and the GIS-based evidence weighted model of metallogenic prediction is established. The weights of various factors via the unit cells are calculated based on the analysis of various metallogenic factors from the evidence weighted model. Four levels prospective regions are fixed with the posterior probabilities got from the total information in each unit cell.
出处
《桂林理工大学学报》
CAS
北大核心
2012年第2期162-168,共7页
Journal of Guilin University of Technology
基金
广西大规模地质矿产勘查项目(桂财建函[2010]130)
广西自然科学基金项目(2012GXNSFBA053132)
广西研究生教育创新计划资助项目(002504210002)
广西空间信息与测绘重点实验室资助项目(桂空测[2011]03)
关键词
花山花岗岩体
遥感
GIS
证据权重法
铀矿
成矿预测
Huashan granite body
remote sensing （RS）
GIS
weights of evidences
uranium mineralization
mineral prospecting
