IEECAS OpenIR  > 黄土与第四纪地质国家重点实验室(2010~)
Comparison and Calibration of Elemental Measurements in Sediments Using X-Ray Fluorescence Core Scanning with ICP Methods: A Case Study of the South China Sea Deep Basin
Xu Fangjian1,2; Hu Bangqi2,3,4; Wang Chen1; Zhao Jingtao2,3; Wang Feifei2,3; Ding Xue2,3; Li Qing2,3; Guo Jianwei2,3
Corresponding AuthorHu Bangqi(bangqihu@gmail.com)
2021-08-01
Source PublicationJOURNAL OF OCEAN UNIVERSITY OF CHINA
ISSN1672-5182
Volume20Issue:4Pages:848-856
AbstractThe X-ray fluorescence (XRF) core scanning method is widely applied in studies of sedimentary paleoenvironments due to its convenient pretreatment, nondestructive characteristics, fast execution, continuous scanning, and high resolution. XRF core scanning for sediments is commonly used in the studies on the South China Sea. This study compares XRF-scanned intensities and measured inductively coupled plasma (ICP) elemental contents of core CS11 in the northeast South China Sea deep basin. The results show that the analyzed elements can be separated into three classes. Class I includes elements with high correlation coefficients, such as Ca, Sr, and Zr; Class II contains elements with average correlation coefficients, such as Fe, Mn, Ti, and Cu; and Class III comprises elements with low correlation coefficients, such as K, Ni, Zn, Rb, and Al. In the South China Sea deep basin, pore water, compaction, and grain size have weak effects on the elemental intensities and contents of short core sediments. Hence, for elements with high correlation coefficients, a linear relationship model can be established by the least-squares method, in which the converted XRF intensities are approximately equal to the measured ICP contents. Based on the established log-ratio calibration model, the resulting ln(K/Ca), ln(Ti/Ca), ln(Fe/Ca), and ln(Zr/Ca) values generally display the same variation trends as the measured curves. The elemental contents and ratios produced by the linear model via the least-squares method and the log-ratio calibration model are expected to provide high-resolution data support for future paleoenvironmental research on the South China Sea deep basin.
Keywordsediment XRF core scanning element deep sea South China Sea
DOI10.1007/s11802-021-4554-1
WOS KeywordMARINE-SEDIMENTS ; XRF-SCANNER ; RIVER ; PALEOCEANOGRAPHY ; CLIMATE ; RECORDS
Indexed BySCI ; SCI
Language英语
WOS Research AreaOceanography
WOS SubjectOceanography
WOS IDWOS:000674075800010
PublisherOCEAN UNIV CHINA
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ieecas.cn/handle/361006/16850
Collection黄土与第四纪地质国家重点实验室(2010~)
Corresponding AuthorHu Bangqi
Affiliation1.China Univ Petr, Sch Geosci, Qingdao 266580, Peoples R China
2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Mineral Resources, Qingdao 266071, Peoples R China
3.Minist Nat Resources, Qingdao Inst Marine Geol, Qingdao 266071, Peoples R China
4.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710075, Peoples R China
Recommended Citation
GB/T 7714
Xu Fangjian,Hu Bangqi,Wang Chen,et al. Comparison and Calibration of Elemental Measurements in Sediments Using X-Ray Fluorescence Core Scanning with ICP Methods: A Case Study of the South China Sea Deep Basin[J]. JOURNAL OF OCEAN UNIVERSITY OF CHINA,2021,20(4):848-856.
APA Xu Fangjian.,Hu Bangqi.,Wang Chen.,Zhao Jingtao.,Wang Feifei.,...&Guo Jianwei.(2021).Comparison and Calibration of Elemental Measurements in Sediments Using X-Ray Fluorescence Core Scanning with ICP Methods: A Case Study of the South China Sea Deep Basin.JOURNAL OF OCEAN UNIVERSITY OF CHINA,20(4),848-856.
MLA Xu Fangjian,et al."Comparison and Calibration of Elemental Measurements in Sediments Using X-Ray Fluorescence Core Scanning with ICP Methods: A Case Study of the South China Sea Deep Basin".JOURNAL OF OCEAN UNIVERSITY OF CHINA 20.4(2021):848-856.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Xu Fangjian]'s Articles
[Hu Bangqi]'s Articles
[Wang Chen]'s Articles
Baidu academic
Similar articles in Baidu academic
[Xu Fangjian]'s Articles
[Hu Bangqi]'s Articles
[Wang Chen]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Xu Fangjian]'s Articles
[Hu Bangqi]'s Articles
[Wang Chen]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.