What can we learn from X-ray fluorescence core scanning data? A paleomonsoon case study

dc.contributor.author Gebregiorgis, Daniel
dc.contributor.author Giosan, Liviu
dc.contributor.author Hathorne, Ed C.
dc.contributor.author Anand, Pallavi
dc.contributor.author Nilsson-Kerr, Katrina
dc.contributor.author Plass, Anna
dc.contributor.author Luckge, Andreas
dc.contributor.author Clemens, Steven C.
dc.contributor.author Frank, Martin
dc.date.accessioned 2020-06-29T20:44:20Z
dc.date.available 2020-07-10T08:34:35Z
dc.date.issued 2020-01-12
dc.description Author Posting. © American Geophysical Union, 2020. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geochemistry, Geophysics, Geosystems 21(2), (2020): e2019GC008414, doi:10.1029/2019GC008414. en_US
dc.description.abstract X‐ray fluorescence (XRF) core scanning of marine and lake sediments has been extensively used to study changes in past environmental and climatic processes over a range of timescales. The interpretation of XRF‐derived element ratios in paleoclimatic and paleoceanographic studies primarily considers differences in the relative abundances of particular elements. Here we present new XRF core scanning data from two long sediment cores in the Andaman Sea in the northern Indian Ocean and show that sea level related processes influence terrigenous inputs based proxies such as Ti/Ca, Fe/Ca, and elemental concentrations of the transition metals (e.g., Mn). Zr/Rb ratios are mainly a function of changes in median grain size of lithogenic particles and often covary with changes in Ca concentrations that reflect changes in biogenic calcium carbonate production. This suggests that a common process (i.e., sea level) influences both records. The interpretation of lighter element data (e.g., Si and Al) based on low XRF counts is complicated as variations in mean grain size and water content result in systematic artifacts and signal intensities not related to the Al or Si content of the sediments. This highlights the need for calibration of XRF core scanning data based on discrete sample analyses and careful examination of sediment properties such as porosity/water content for reliably disentangling environmental signals from other physical properties. In the case of the Andaman Sea, reliable extraction of a monsoon signal requires accounting for the sea level influence on the XRF data. en_US
dc.description.embargo 2020-07-10 en_US
dc.description.sponsorship The staff at the Bremen Core Repository is thanked for their help with core handling and Sam Müller at the University of Kiel provided technical assistance with the XRF scanner. We thank two anonymous reviewers for their insightful comments that improved the manuscript significantly. This work was partially funded through DFG Grant HA 5751/3. P. A. and K. N.‐K. acknowledge support from UK‐IODP and Natural and Environment Research Council, UK. The authors express their thanks to all those who contributed to the success of the National Gas Hydrate Program Expedition 01 (NGHP01) and Expedition 353. The data set supporting the conclusions of this article is available in the PANGEA repository (doi: https://doi.pangaea.de/10.1594/PANGAEA.910533). en_US
dc.identifier.citation Gebregiorgis, D., Giosan, L., Hathorne, E. C., Anand, P., Nilsson-Kerr, K., Plass, A., Lueckge, A., Clemens, S. C., & Frank, M. (2020). What can we learn from X-ray fluorescence core scanning data? A paleomonsoon case study. Geochemistry Geophysics Geosystems, 21(2), e2019GC008414. en_US
dc.identifier.doi 10.1029/2019GC008414
dc.identifier.uri https://hdl.handle.net/1912/25917
dc.publisher American Geophysical Union en_US
dc.relation.uri https://doi.org/10.1029/2019GC008414
dc.title What can we learn from X-ray fluorescence core scanning data? A paleomonsoon case study en_US
dc.type Article en_US
dspace.entity.type Publication
relation.isAuthorOfPublication b0497172-960f-494c-aaf7-17681fefc640
relation.isAuthorOfPublication 8bd58be0-0959-42dc-b9bc-dbac3ed26260
relation.isAuthorOfPublication 4b08f2e0-206d-472b-a2f1-bf0b2cb789b1
relation.isAuthorOfPublication 0b5f1d30-9623-4b86-9d38-bd8be09abb01
relation.isAuthorOfPublication cc5cfea0-017b-43fa-946e-09cdc282f894
relation.isAuthorOfPublication 22951f22-8542-4d72-86a6-8321e62b83ef
relation.isAuthorOfPublication 80a2f190-19ab-4173-8ef2-a275f1f1ac4f
relation.isAuthorOfPublication 774781f8-9608-4bc9-b89f-8c1ff51ade90
relation.isAuthorOfPublication ae41ec8c-ecb2-409c-ab0e-8e511e7442e6
relation.isAuthorOfPublication.latestForDiscovery b0497172-960f-494c-aaf7-17681fefc640
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
2019GC008414.pdf
Size:
6.75 MB
Format:
Adobe Portable Document Format
Description:
Article
Thumbnail Image
Name:
ggge22115-sup-0001-2019gc008414text_si-s01.pdf
Size:
524.82 KB
Format:
Adobe Portable Document Format
Description:
Supporting_Information_S1
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.88 KB
Format:
Item-specific license agreed upon to submission
Description: