Knowledge Management System Of Institute of Oceanology, Chinese Academy of Sciences
Evaluating Zr/Rb Ratio From XRF Scanning as an Indicator of Grain-Size Variations of Glaciomarine Sediments in the Southern Ocean | |
Wu, Li1; Wilson, David J.2; Wang, Rujian1; Yin, Xuebo3,4; Chen, Zhihua5; Xiao, Wenshen1; Huang, Mengxue1 | |
2020-11-01 | |
发表期刊 | GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS |
卷号 | 21期号:11页码:26 |
通讯作者 | Wang, Rujian([email protected]) |
摘要 | The ln(Zr/Rb) count ratio derived from X-ray fluorescence (XRF) core scanning holds potential as a high-resolution tracer for grain-size variations of glaciomarine sediments, and hence current strength. To evaluate this approach, we conducted high-resolution grain-size measurements, together with Rb and Zr measurements by XRF core scanning and inductively coupled plasma-mass spectrometry (ICP-MS), on a series of sediment cores from different regions of the Southern Ocean. Downcore changes of the ln(Zr/Rb) count ratio from XRF core scanning are consistent with Zr/Rb concentration ratios derived from ICP-MS analyses, even though Rb and Zr counts deviate significantly from concentrations due to specimen and matrix effects. The ln(Zr/Rb) count ratio displays discrepancies with the bulk mean grain-size, but correlates well with the mean grain-size of the sediment fractions that do not include unsorted sand delivered by ice-rafting. These observations are supported by evidence from a grain-size separation experiment, which indicates that Zr and Rb are concentrated in different grain-size fractions. Consistent with its lack of sensitivity to coarse grain-size fractions derived from ice-rafting, the ln(Zr/Rb) ratio records similar trends to the sortable silt percent (SS%) and sortable silt mean (SS over bar ) grain-size. Universal gradients exist in plots of SS% versus ln(Zr/Rb), and SS over bar versus ln(Zr/Rb), such that the ln(Zr/Rb) ratio provides a convenient way to estimate the magnitude of changes in SS% and SS over bar . Overall, our results support the use of the ln(Zr/Rb) ratio as an indicator of bottom current strength in cases where the sediment is current-sorted. |
关键词 | bottom currents glaciomarine sediment grain‐ size iceberg rafted debris Southern Ocean XRF core scanning Zr Rb |
DOI | 10.1029/2020GC009350 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China; Postdoctoral Research Foundation of China[41806223]; Postdoctoral Research Foundation of China[2018M632158]; Postdoctoral Research Foundation of China[41776191]; Postdoctoral Research Foundation of China[41676191]; Ministry of Natural Resources of China; National Oceanic Administration's Polar Expedition Office[RFSOCC20202022]; National Oceanic Administration's Polar Expedition Office[16]; National Oceanic Administration's Polar Expedition Office[17] |
WOS研究方向 | Geochemistry & Geophysics |
WOS类目 | Geochemistry & Geophysics |
WOS记录号 | WOS:000595790900027 |
出版者 | AMER GEOPHYSICAL UNION |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.qdio.ac.cn/handle/337002/169307 |
专题 | 中国科学院海洋研究所 |
通讯作者 | Wang, Rujian |
作者单位 | 1.Tongji Univ, State Key Lab Marine Geol, Shanghai, Peoples R China 2.Univ London, Univ Coll London & Birkheck, Inst Earth & Planetary Sci, London, England 3.Qingdao Sparta Anal & Test Co Ltd, Qingdao, Peoples R China 4.Chinese Acad Sci, Inst Oceanol, Qingdao, Peoples R China 5.State Ocean Adm, Inst Oceanog 1, Qingdao, Peoples R China |
推荐引用方式 GB/T 7714 | Wu, Li,Wilson, David J.,Wang, Rujian,et al. Evaluating Zr/Rb Ratio From XRF Scanning as an Indicator of Grain-Size Variations of Glaciomarine Sediments in the Southern Ocean[J]. GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS,2020,21(11):26. |
APA | Wu, Li.,Wilson, David J..,Wang, Rujian.,Yin, Xuebo.,Chen, Zhihua.,...&Huang, Mengxue.(2020).Evaluating Zr/Rb Ratio From XRF Scanning as an Indicator of Grain-Size Variations of Glaciomarine Sediments in the Southern Ocean.GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS,21(11),26. |
MLA | Wu, Li,et al."Evaluating Zr/Rb Ratio From XRF Scanning as an Indicator of Grain-Size Variations of Glaciomarine Sediments in the Southern Ocean".GEOCHEMISTRY GEOPHYSICS GEOSYSTEMS 21.11(2020):26. |
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