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基于岩矿鉴定法的地质矿产特征及分布情况分析
引用本文:刘荣霞. 基于岩矿鉴定法的地质矿产特征及分布情况分析[J]. 世界有色金属, 2020, 0(1): 265-265,267
作者姓名:刘荣霞
作者单位:甘肃省地质矿产勘查开发局第一地质矿产勘查院
摘    要:在传统的地质矿产特征及分布情况分析中,由于没有结合先进的科学方法,因此无法对地质矿产特征及分布情况精准掌握。针对这一问题,进行基于岩矿鉴定法的地质矿产特征及分布情况分析。首先,基于岩矿鉴定法进行地质矿产特征分析,得出该地区地质矿产特征为东侧地下矿产资源较为丰富;再基于岩矿鉴定法分析地质分布情况,AB段地质分布最为密集;MN段地质分布较为均匀;ZE段地质分布稀疏。应加大AB段找矿力度,致力于推动该地区矿业工作的进一步发展。

关 键 词:岩矿鉴定法  地质矿产特征  分布情况  分析

Analysis on the characteristics and distribution of geological and mineral resources based on rock and mineral identification
LIU Rong-xia. Analysis on the characteristics and distribution of geological and mineral resources based on rock and mineral identification[J]. World Nonferrous Metals, 2020, 0(1): 265-265,267
Authors:LIU Rong-xia
Affiliation:(The first Institute of Geology and mineral exploration of Gansu Bureau of Geology and mineral exploration and development,Tianshui 741020,China)
Abstract:In the traditional analysis of the characteristics and distribution of geological and mineral resources,due to the lack of advanced scientific methods,it is impossible to accurately grasp the characteristics and distribution of geological and mineral resources.Aiming at this problem,the paper analyzes the characteristics and distribution of Geology and mineral resources based on rock and mineral identification.First of all,based on the analysis of the geological and mineral characteristics by the rock and mineral identification method,it is concluded that the geological and mineral characteristics of the area are that the underground mineral resources in the East are relatively rich;then based on the analysis of the geological distribution by the rock and mineral identification method,the geological distribution of section AB is the most intensive;the geological distribution of section Mn is relatively uniform;the geological distribution of section Ze is sparse.It is necessary to strengthen the prospecting of AB section and devote to the further development of mining work in this area.
Keywords:rock and mineral identification  geological and mineral characteristics  distribution  analysis
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