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兴城地区岩石光谱特征与物性参数、金属元素间响应关系研究
引用本文:杨长保,刘娜,郐开富. 兴城地区岩石光谱特征与物性参数、金属元素间响应关系研究[J]. 光谱学与光谱分析, 2019, 39(9): 2953-2965. DOI: 10.3964/j.issn.1000-0593(2019)09-2953-13
作者姓名:杨长保  刘娜  郐开富
作者单位:吉林大学地球探测科学与技术学院,吉林 长春 130026;保定学院地理与旅游学院,河北 保定 071000;杭州大地科技有限公司,浙江 杭州 310004
基金项目:“One Belt and One Road” Resource Environment Satellite Remote Sensing Interpretation and Application (DD20160117), Deep exploration technology and experimental research(SinoProbe-09-06) Comprehensive remote sensing information product development and application demonstration (201511078-04)
摘    要:岩石物性参数、元素含量和光谱特征三者之间的相互关系并非独立存在, 研究三者之间的相互关系,对于探索通过遥感信息进行岩石矿物成分、物性参数的定量反演方法奠定基础。采集了兴城地区590块岩样本,分析其物性参数(密度、介电常数、电阻率、磁化率)、金属成分含量(Fe, Ti, V, Mn, Zr, Co, Zn, Nb, Bi, Pb)以及岩石光谱之间的关系。将各物化参数与原始光谱、光谱吸收深度、光谱小波包分解后的高低频做相关性分析,找出各物化参数影响光谱吸收和反射的特征波段,探究关系密切的参数。该研究为岩石岩性分类、某种金属元素和物理特性的反演以及用某种参数来预测关系密切的参数奠定了基础,取得如下结论:(1)获得了火成岩中Fe,Ti,Mn,V,Zn,Bi和Pb等元素的特征谱带,其中Fe元素含量更高,与光谱的相关性更显著。在0.4和0.54 μm波段附近存在Fe的特征反射波段,1.0~1.5 μm波段范围内存在Fe元素的特征吸收波段;在0.4~0.55和0.6~0.65 μm波段范围内,Ti元素与光谱的相关性更显著,在2.28 μm波段附近存在Ti的特征吸收波段;在0.41 μm波段附近存在Mn的特征反射波段;火成岩、沉积岩V元素与光谱相关性差异性较大,在0.76,0.81,0.89,0.95 μm波段附近可能存在火成岩的特征吸收波段和沉积岩的特征反射波段;沉积岩的Zn元素含量与光谱的相关性比火成岩要显著,在0.41,1.36,1.59 μm波段附近可能存在火成岩Zn的特征反射波段,在2.34 μm波段附近可能存在沉积岩Zn的特征波段;2.14 μm波段附近,Bi元素对沉积岩光谱的吸收有一定的作用;Pb的特征谱带可能存在于0.45,0.54,2.29 μm附近;(2)在岩石各物理特性和光谱的关系研究中,在0.57~0.85 μm波段范围内,密度对光谱有很好的吸收反射特征,在0.53 μm波段附近,磁化率使光谱有较强的反射,在1.08 μm波段附近,磁化率使光谱产生较强的吸收;电阻率和光谱的相关关系与密度和光谱的相关关系极为相似;(3)在岩石各物性参数间的关系中发现,密度和电阻率呈显著正相关的关系;(4)在岩石各物性参数与金属元素的关系中研究发现,密度与各金属元素相关性较弱;磁化率与Fe和Ti元素呈显著的正相关关系;电阻率与各金属元素间的相关关系较弱;介电常数与各金属元素含量呈正相关关系,其中与V,Zn,Bi元素的相关关系最显著;(5)在金属元素间,Fe与Ti有较显著的正相关关系,Ti与Fe,V元素间有较强的正相关关系,Zn和Pb存在较强的正相关。

关 键 词:物性参数  金属元素  光谱  相关系数  高低频
收稿时间:2018-06-20

Research on Relationship between Spectral Characteristics,Physical Parameters and Metal Elements of Rocks in Xingcheng Area
YANG Chang-bao,LIU Na,KUAI Kai-fu. Research on Relationship between Spectral Characteristics,Physical Parameters and Metal Elements of Rocks in Xingcheng Area[J]. Spectroscopy and Spectral Analysis, 2019, 39(9): 2953-2965. DOI: 10.3964/j.issn.1000-0593(2019)09-2953-13
Authors:YANG Chang-bao  LIU Na  KUAI Kai-fu
Affiliation:1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China2. College of Geography and Tourism, Baoding University, Baoding 071000, China3. Dadi Technology Co., Ltd., Hangzhou 310004, China
Abstract:The relationship between physical parameters, elemental content and spectral characteristics is not independent, which lays a foundation for exploring quantitative inversion methods of mineral contents and physical parameters of rocks through remote sensing information.This paper studies the relationship between spectra, physical parameters (density, magnetic susceptibility, resistivity, permittivity),metal contents (Fe, Ti, V, Mn, Zr, Co, Zn, Nb, Bi, Pb) of 590 rocks in Xingcheng Area. Correlates the physicochemical parameters with original spectra, spectral absorption depths, and high and low frequencies after spectral wavelet packet decomposition, finds out the characteristic bands of the physicochemical parameters affecting spectral absorption and reflection, and explores closely related parameters. This study lays the foundation for lithology classification of rocks, inversion of certain metal elements and physical properties, and prediction of closely related parameters with certain parameters. This article mainly achieved the following results. (1)The characteristic bands of Fe, Ti, Mn, V, Zn, Bi and Pb in igneous rocks are obtained. The Fe content of igneous rock is higher, and the correlation with spectra is more significant. Characteristic reflection bands of Fe exist near the 0.4 and 0.54 μm bands, and characteristic absorption bands exist in the range of 1.0~1.5 μm. In the range of 0.4~0.55 and 0.6~0.65 μm, correlations between Ti and the spectra are more significant. There is a characteristic absorption band of Ti near 2.28 μm band and a characteristic reflection band of Mn exists in 0.41 μm band. The correlation between spectra and V element of igneous rock is different from that of sedimentary rocks. Moreover, characteristic absorption bands of igneous rocks and characteristic reflection bands of sedimentary rocks may exist near 0.76, 0.81, 0.89 and 0.95 μm bands. The correlation between spectra and Zn content of sedimentary rocks is more significant than that of igneous rocks. There may be Zn characteristic reflection bands of igneous rocks near 0.41, 1.36 and 1.59 μm bands, and Zn characteristic bands of sedimentary rock near 2.34 μm band. In the vicinity of 2.14 μm band, Bi element has effects on spectra absorption of sedimentary rocks. The characteristic band of Pb may exist near 0.45, 0.54, 2.29 μm band. In the study of the relationship between physical properties and spectra of rocks, the density has significant spectral absorption and reflection characteristics in the range of 0.57~0.8 μm bands. Susceptibility makes spectra have strong reflection near the 0.53 μm band, and susceptibility gives spectra spectral absorption near the 1.08 μm band. Correlations between resistivities and spectra are similar to those between densities and spectra. In the correlation between various physical parameters of rocks, it is found that density is significantly positively correlated with resistivity. (3) In the relationship between various physical parameters of rock, it is found that density and resistivity are significantly positively correlated. (4) In the relationship between various physical parameters and metal elements of rocks, it is found that the correlation between density and metal elements is weak. The susceptibility is significantly positively correlated with Fe and Ti. The correlation between resistivity and metal elements is weak. The permittivity is positively correlated with metal elements. And correlations between V, Zn and Bi elements are the most significant. (5) There are significant positive correlations between Fe and Ti, positive correlations between Ti, Fe and V elements, and positive correlations between Zn and Pb.
Keywords:Physical parameters  Metal element  Spectra  Correlation coefficient  High and low frequency  
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