Por favor, use este identificador para citar o enlazar a este item:
http://hdl.handle.net/10261/274944
COMPARTIR / EXPORTAR:
SHARE CORE BASE | |
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |
Título: | Patterns and Abundance of Rare Earth Elements in Sediments of a Bedrock River (Miño River, NW Iberian Peninsula) |
Autor: | Álvarez-Vázquez, M. A. CSIC ORCID; Uña-Álvarez, E.; Prego, R. CSIC ORCID | Palabras clave: | Lanthanoids Sediment Bedrock rivers Miño/Minho River NW Iberian Peninsula |
Fecha de publicación: | 2022 | Editor: | Multidisciplinary Digital Publishing Institute | Citación: | Geosciences 12(3): 105 (2022) | Resumen: | 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 | Descripción: | 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 | Versión del editor: | https://doi.org/10.3390/geosciences12030105 | URI: | http://hdl.handle.net/10261/274944 | DOI: | 10.3390/geosciences12030105 | E-ISSN: | 2076-3263 |
Aparece en las colecciones: | (IIM) Artículos |
Ficheros en este ítem:
Fichero | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Patterns_abundance_rare_OA_2022.pdf | 1,79 MB | Adobe PDF | Visualizar/Abrir |
CORE Recommender
SCOPUSTM
Citations
4
checked on 25-abr-2024
WEB OF SCIENCETM
Citations
3
checked on 29-feb-2024
Page view(s)
27
checked on 29-abr-2024
Download(s)
77
checked on 29-abr-2024
Google ScholarTM
Check
Altmetric
Altmetric
Este item está licenciado bajo una Licencia Creative Commons