Patterns and abundance of rare earth elements in sediments of a bedrock river (Miño River, NW Iberian Peninsula)
Autor: | Ricardo Prego, Elena De Uña-Álvarez, Miguel Ángel Álvarez-Vázquez |
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Jazyk: | angličtina |
Rok vydání: | 2022 |
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Zdroj: | Geosciences; Volume 12; Issue 3; Pages: 105 Digital.CSIC. Repositorio Institucional del CSIC instname Investigo. Repositorio Institucional de la Universidade de Vigo Universidade de Vigo (UVigo) |
Popis: | 11 pages, 4 figures, 2 tables.-- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license Bedrock rivers, whose sedimentary geochemistry has been scarcely investigated, are suitable to test geochemical approaches in order to assess the existence and extent of human alterations in the natural abundance of rare earth elements. This work presents the study of REE contents in fine-grained sediments of the (bedrock) Miño River, in an urban reach of its middle course. Different statistical procedures were employed in order to decipher the abundances and patterns of distribution of REE in different environments, showing a higher REE accumulation in surface sediments trapped by potholes and other rock cavities. Background contents were estimated by iterative simple regression. After checking several possible reference elements, Y showed the highest potential for the series of REE from La to Lu. The regression result, namely background function, is very useful to minimize the effect of the natural variability in sediment contents. Background functions also allow for environmental assessment by the calculation of the so-called local enrichment factors. As a general conclusion, contamination, if it exists, is negligible in the area and low enrichments can be attributed to postdepositional processes related to organic matter and the geochemistry of Fe and Mn This research was funded by the Universidade de Vigo and Diputación de Ourense, grant number INOU15-02. M.A. Álvarez-Vázquez was supported by the Xunta de Galicia through the postdoctoral grant #ED481B-2019-066 |
Databáze: | OpenAIRE |
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