摘要
借用计算机强大的计算处理能力,以判别分析方法构建起甘肃敦煌地块基于化探资料的金找矿定量预测模型和基于岩浆岩(氧化物)信息的金找矿靶区定量优选模型,鉴别出18个与现有金矿床(点)相关关系高度密切的侵入岩体和123个由化探资料确定的金找矿靶区。优选出分布在上述18个岩体5km范围内的金找矿靶区,与化探资料确定的金矿找矿靶区进行综合优选,共选出27个金找矿靶区并分为三级,Ⅰ级靶区5个(其中3个靶区有已知金矿分布,见矿率58.2%),Ⅱ级靶区9个(见矿率33.3%),Ⅲ级靶区13个(见矿率14.8%)。综合信息定量优选的找矿靶区有极高的见矿率,为进一步地质找矿工作提供依据。
Using computer, the discriminant analysis method to construct quantitative optimization model of gold prospecting targets based on information of the magmatic rocks （oxide） and quantitative prediction model of gold prospecting based on geochemical data in Dunhuang block, Gansu Province. There are 18 magmatic rocks identified close correlation with existing gold deposits （gold ore spots）, 123 gold prospecting targets determined by geochemical data, and 27 gold prospecting targets with three levels with 5 GradeⅠtargets （three target areas have found gold deposits distribution, seeing mine rate 58.2%）, 9 Grade Ⅱ targets （seeing mine rate 33.3%）, 13 Grade Ⅲ targets （seeing ore rate 14.8%）, optimized distribution in the above 18 within 5km of the rock mass. As a result, prospecting targets by the comprehensive information quantitative optimization have high seeing ore rate.
出处
《岩石学报》
SCIE
EI
CAS
CSCD
北大核心
2018年第2期319-325,共7页
Acta Petrologica Sinica
基金
本文受中国地质调查局地质调查项目(DD20160346)、甘肃省地质勘查基金项目(201701-D18)和甘肃省基础地质调查项目(20151616)联合资助.
关键词
成矿定量预测
多元统计
找矿靶区
金矿床
敦煌地块
Quantitative prediction of mineralization
Multivariate statistics
Prospecting target
Gold deposit
Dunhuang block
