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深海富钴结核微区X射线荧光光谱分析和数据挖掘
引用本文:任江波,王汾连,何高文,张昕,邓希光,余红霞. 深海富钴结核微区X射线荧光光谱分析和数据挖掘[J]. 光谱学与光谱分析, 2021, 41(6): 1834-1840. DOI: 10.3964/j.issn.1000-0593(2021)06-1834-07
作者姓名:任江波  王汾连  何高文  张昕  邓希光  余红霞
作者单位:南方海洋科学与工程广东省实验室(广州) ,广东 广州 511458;自然资源部海底矿产资源重点实验室,广州海洋地质调查局,广东 广州 510075;青岛斯八达分析测试有限公司,山东 青岛 266002;广西隐伏金属矿产勘查重点实验室,桂林理工大学,广西 桂林 541004
基金项目:国家自然科学基金项目(42002085, 41702096),南方海洋科学与工程广东省实验室(广州)人才团队引进重大专项(GML2019ZD0106),国际海域资源调查与开发“十三五”课题(DY135-R2-1-05)资助
摘    要:西太平洋富钴结核是近年来新发现的海底固体矿产资源,富含M n,Fe,Co,Ni和Cu等多种关键金属元素.富钴结核是一种非均质的地球化学和矿物学集合体,粒径约6 cm的结核在生长过程中记录了数千万年的海洋沉积历史,亟需高分辨率的分析技术揭示古海洋环境信息.采用微区X射线荧光光谱仪(μ-XRF),对C3BC1704富钴结核...

关 键 词:微区X射线荧光  面扫描  大数据  元素分布  富钴结核  西太平洋
收稿时间:2020-10-31

μ-XRF Analysis and Data Mining of Deep-Sea Co-Rich Ferromanganese Nodules in Western Pacific
REN Jiang-bo,WANG Fen-lian,HE Gao-wen,ZHANG Xin,DENG Xi-guang,YU Hong-xia. μ-XRF Analysis and Data Mining of Deep-Sea Co-Rich Ferromanganese Nodules in Western Pacific[J]. Spectroscopy and Spectral Analysis, 2021, 41(6): 1834-1840. DOI: 10.3964/j.issn.1000-0593(2021)06-1834-07
Authors:REN Jiang-bo  WANG Fen-lian  HE Gao-wen  ZHANG Xin  DENG Xi-guang  YU Hong-xia
Affiliation:1. Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 511458, China2. Key Laboratory of Marine Mineral Resources, Ministry of Natural Resources, Guangzhou Marine Geological Survey, Guangzhou 510075, China3. Qingdao Speed Analysis & Test Co., Ltd., Qingdao 266002, China4. Guangxi Key Laboratory of Hidden Metallic Ore Deposits Exploration, Guilin University of Technology, Guilin 541004, China
Abstract:Co-rich ferromanganese nodules in the Western Pacific Ocean are rich in Mn, Fe, Co, Ni, Cu and other metal elements, which are newly discovered seabed solid mineral resources in recent years. They are heterogeneous geochemical and mineralogical aggregates. Co-rich ferromanganese nodules with a particle size of 6 cm record tens of millions of years of marine sedimentary history during their growth. Therefore, high-resolution analysis technology is urgently needed to reveal the paleo marine environmental information. In this study, we used a microscopic X-ray fluorescence spectrometer (μ-XRF) to scan the surface of C3BC1704 Co-rich ferromanganese nodule, and obtained in situ high-resolution multi-element signal intensity data, and evaluated the application quality of μ-XRF technology in Co-rich ferromanganese nodules for the first time. The results show that Mn, Fe, Ti, Co, Ca, Ni elements have sensitive signal intensity changes, and the data show relatively good normal distribution characteristics, which can be used for quantitative or semi quantitative analysis. The signals of Si, Cu, Al and other elements are weak, and their data show a left skewed normal distribution. It is suggested that the relevant data should be used for reference only. The amount of data obtained is huge and independent of each other. In this study, different elements are connected into the multi-dimensional matrix to realize the mathematical operation and screening between the location information and feature elements of the data. The distribution and variation characteristics of metal elements are understood, and the environmental changes in the growth process of cobalt rich nodules are revealed. The results show that Mn, Fe and other elements fluctuate violently in the growth layer, and the distribution of metal elements in the Co-rich ferromanganese nodules is extremely uneven, showing multiple genetic types of alternating micro layers and seven large growth cycles. The main body of the C3BC1704 Co-rich ferromanganese nodule is exposed to seawater, and its metal elements mainly come from seawater, which belongs to the typical hydrogenic types. Further quantitative analysis showed that the contents of Mn, Cu and Ni decreased synchronously from the inside to the outside, while the contents of Fe, Ti and co increased synchronously. It is indicated that the Co-rich ferromanganese nodules relatively tend to be enriched in diagenesis in the early stage and hydrogenises mainly in the late stage. The distribution and variation characteristics of metal elements clearly show the growth structure, reveal the environmental changes, and promote the construction of the metallogenic model of Co-rich ferromanganese nodules.
Keywords:Microscopic X-ray florescence spectrometer  Map scanning  Big data  Element distribution  Co-rich ferromanganese nodules  Western Pacific Ocean  
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