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作 者:Yuxi Wang Xiaowei Wang Jianmin Luo Yu Zhang Jun Wang
机构地区:[1]Geological Survey of Gansu Province,Lanzhou,China [2]Jiaying University,Meizhou,China [3]Key Laboratory of Western China’s Environmental Systems(Ministry of Education),College of Earth and Environmental Sciences,Lanzhou University,Lanzhou,China
出 处:《Big Earth Data》2019年第1期56-66,共11页地球大数据(英文)
基 金:This work was supported by Mineral Resources Compensation Project of Gansu Province(2017D18);Basic Geological Survey Project of Gansu Province(20151616).
摘 要:The quantitative classification of granite and their metallogenetic relations have never been discussed.The Q-system clustering analysis and discriminant analysis methods were alternately used to quantitatively analyze the 11 oxide data in granite samples from the West Qinling area of Gansu Province,and then to construct the quantitative classification series models of granite(oxide).The granites samples are divided into three categories and eight subcategories.The classification of granites is biased toward prospecting.According to the spatial correlation between eight types of granites and copper deposits,lead and zinc deposits,gold deposits,etc.(within 3 km of the intrusion)in the West Qinling area in Gansu Province,the“metallogenic related intrusions”are sought,and the prospecting target areas are defined.Furthermore,they provide reliable basis for regional geological prospecting.
关 键 词:GRANITE quantitative classification the metallogenic intrusions metallogenic spatial relationship West Qinling
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