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| Modelling the joint variability of grain size and chemical composition in sediments Bloemsma, M.R.; Zabel, M.; Stuut, J.B.W.; Tjallingii, R.; Collins, J.A.; Weltje, G.J. (2012). Modelling the joint variability of grain size and chemical composition in sediments. Sediment. Geol. 280: 135-148. dx.doi.org/10.1016/j.sedgeo.2012.04.009
In: Sedimentary Geology. Elsevier: Tokyo; Oxford; New York; London; Amsterdam. ISSN 0037-0738; e-ISSN 1879-0968, meer
Is gerelateerd aan: Bloemsma, M.R.; Zabel, M.; Stuut, J.-B.W.; Tjallingii, R.; Collins, J.A.; Weltje, G.J. (2013). Corrigendum to “Modelling the joint variability of grain size and chemical composition in sediments” [Sediment. Geol. 280 (2012) 135–148]. Sediment. Geol. 284-285: 214. http://dx.doi.org/10.1016/j.sedgeo.2012.12.001, meer
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| Abstract |
We analysed the relation between grain size and geochemical composition in three Quaternary marine sediment cores located offshore West Africa and South America (GeoB7920-2, GeoB9508-5 and GeoB7139-2). Both sites are characterised by biogenic sediment input, in addition to fluvial and aeolian sediment input from the continent. It was found that all cores show a strong, but different correlation between the mean grain size and the bulk geochemical composition. These results demonstrate that geochemical grain-size proxies are empirical and site-specific. It was also found that the geochemical and grain-size data in cores GeoB7920-2 and GeoB7139-2 do not contain unique information, whereas in core GeoB9508-5 Ti varies independently from the grain size. This residual Ti-signal correlates with the transport mechanism, as demonstrated by statistically different values of aeolian and fluvial-dominated sediments. However, a unique interpretation of this residual signal in terms of the postulated grain-size independent mechanisms could not be provided without additional information. We conclude that the proposed model facilitates identification and validation of different element ratios as grain-size proxies and, more importantly, as proxies for size-independent processes. For this reason, the model paves the way for rigorous analysis of multi-proxy data, which are widely used in palaeoceanographic and palaeoclimatic research. |
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