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绿泥石矿物成分与光谱特征关系研究
引用本文:梁树能,甘甫平,闫柏琨,魏红艳,肖晨超. 绿泥石矿物成分与光谱特征关系研究[J]. 光谱学与光谱分析, 2014, 34(7): 1763-1768. DOI: 10.3964/j.issn.1000-0593(2014)07-1763-06
作者姓名:梁树能  甘甫平  闫柏琨  魏红艳  肖晨超
作者单位:1. 中国国土资源航空物探遥感中心,北京 100083
2. 国土资源部航空地球物理与遥感地质重点实验室,北京 100083
基金项目:中国地质调查局项目(1212011087113), 航遥中心青年创新基金项目(2010YFL)和国家自然科学基金项目(41102208)资助
摘    要:绿泥石矿物广泛发育于各种岩石和地质环境中,其化学成分的变化,可反映出其形成时的物理化学条件及其光谱特征的变化。为了探索矿物光谱特征与其矿物化学成分间的内在关联性,为利用高光谱技术探测矿物微观信息提供基础依据。通过薄片显微分析,鉴定了岩石样品中的矿物种类及矿物组合特征,圈定出典型的绿泥石矿物颗粒和划分了绿泥石的产状特征;并利用现代电子探针微区分析技术,测定了16件岩石样品中共146个具有典型代表性的绿泥石矿物颗粒的化学成分,据此计算了其n(AlⅣ),n(AlⅥ),n(Fe),n(Mg)与Fe/(Fe+Mg)比值等相关化学参数;此外对测量的岩矿光谱进行分析,提取了岩石样品中绿泥石矿物的特征光谱参量。在以上基础上,对绿泥石矿物的光谱特征参量和其主要晶体化学参数的关系进行分析研究,研究表明绿泥石矿物的诊断性特征吸收波长位置随绿泥石中Fe离子含量的增加而向长波方向移动。研究结果对于利用高光谱遥感技术进行蚀变矿物及造岩矿物种类、成分及结构特征的识别和探测具有重要的指导意义。

关 键 词:绿泥石  电子探针  化学成分  诊断性光谱特征   
收稿时间:2013-07-18

A Study on the Relationship between the Composition and Spectral Feature Parameters in Chlorite
LIANG Shu-neng,GAN Fu-ping,YAN Bo-kun,WEI Hong-yan,XIAO Chen-chao. A Study on the Relationship between the Composition and Spectral Feature Parameters in Chlorite[J]. Spectroscopy and Spectral Analysis, 2014, 34(7): 1763-1768. DOI: 10.3964/j.issn.1000-0593(2014)07-1763-06
Authors:LIANG Shu-neng  GAN Fu-ping  YAN Bo-kun  WEI Hong-yan  XIAO Chen-chao
Affiliation:1. China Aero Geophysical Survey and Remote Sensing Center for Land and Resources, Beijing 100083, China2. Key Laboratory of Airborne Geophysics and Remote Sensing Geology, Ministry of Land and Resources, Beijing 100083, China
Abstract:In order to explore the intrinsic relationship of mineral spectral characteristics and its composition, and provide the basis for the detection of mineral micro information by using hyperspectral technology, based on the thinsection analysis, the authors identified the minerals characteristics and mineral assemblages in rock samples, delineated typical chlorite minerals and divided the occurrence characteristics of chlorite. The authors measured chemical composition of146 typical chlorite mineral particles by using electron probe micro analysis technology, and calculated the relevant chemical parameters of n(AlⅣ), n(AlⅥ), n(Fe), n(Mg), and n(Fe)/n(Fe+Mg) ratio. In addition we analysed the rock and mineral spectra, and extracted chlorite characteristic spectral parameters. Therelationship between the spectra feature parameters and the main crystal chemical parameters in chlorite was analyzed. The study indicated that the diagnostic spectral wavelength of chlorites moved to long wavelength. The results have important guiding significance for identifying the alteration and rock forming mineral species, composition and structure characteristics by usinghyperspectral remote sensing technology.
Keywords:Chlorite  Electron microprobe  Chemical composition  Diagnostic spectral property
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