Quantitative Inversion of REEs in Ion-Adsorbed Rare Earth Ores from the Liutang Area(South China),Based on Measured Hyperspectral Data  

作　　者：Gong Cheng Hongrui Zhang Huan Li Xiaoqing Deng Safiyanu Muhammad Elatikpo Jiaxuan Li Zhenguang Hu Guangqiang Li 

机构地区：[1]Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring,Ministry of Education,School of Geosciences and Info-Physics,Central South University,Changsha 410083,China [2]School of Mathematics and Statistics,Hunan University of Technology and Business,Changsha 410205,China [3]Chinalco Guangxi Nonferrous Rare Earth Development Co.,Ltd.,Nanning 532299,China

出　　处：《Journal of Earth Science》2023年第4期1068-1082,共15页地球科学学刊（英文版）

基　　金：supported by Open Project of Hunan Provincial Key Laboratory for remote sensing monitoring of ecological environment in Dongting Lake area (No.DTH Key Lab.2022-12);the National Natural Science Foundation of China (No.42072326);Hunan Natural Resources Science and Technology Plan Project (No.2020-04)。

摘　　要：Rare earth minerals are important strategic resources to economic development all over the world.In this study,multiple linear regression and back propagation(BP) neural network methods are used to invert the contents of ion adsorbed rare earth elements(REEs) and exploring the feasibility of quantitative inversion of REEs through measured hyperspectral data in Liutang rare earth mines,South China.The result shows that the spectral curve of the rare earth ore samples has obvious absorption characteristics around 390,930,1 400,1 900 and 2 200 nm,and continuum removal and the 1st derivative treatment can highlight the absorption characteristics.The modeling accuracies of BP neural network are higher than that of multiple linear regression model.The BP neural network model of the 1st derivative data in 400–1 000 nm bands has the best inversion result of the total content of REEs,R2 reaches 0.98,the ratio of the performance to deviation(RPD) is larger than 3.0.The quantitative inversion model of each REE(except for Ce) has high precision,R2 is greater than 0.90 and RPD is greater than 3.0.The results indicate that quantitative inversion of REEs using measured spectra not only has great potential and feasibility in the exploration of rare earth minerals,but also provides a rapid test method for the content of ion-adsorbed rare earth elements.

关 键 词：hyperspectral ion-adsorbed ore neural network quantitative inversion rare earth ele-ments(REEs). 

分 类 号：P618.7[天文地球—矿床学]