Geochemical characterization of the mining district of Linares (Jaen, Spain) by means of XRF and ICP-AES

Arenas Carrasco, Luis Antonio; Ortega Romero, Marcelo; García-Martínez, Mª Jesús; Querol Aragon, Enrique y Llamas Borrajo, Juan F. (2011). Geochemical characterization of the mining district of Linares (Jaen, Spain) by means of XRF and ICP-AES. "Journal of Geochemical Exploration", v. 108 (n. 1); pp. 21-26. ISSN 0375-6742. https://doi.org/10.1016/j.gexplo.2010.09.002.

Descripción

Título: Geochemical characterization of the mining district of Linares (Jaen, Spain) by means of XRF and ICP-AES
Autor/es:
  • Arenas Carrasco, Luis Antonio
  • Ortega Romero, Marcelo
  • García-Martínez, Mª Jesús
  • Querol Aragon, Enrique
  • Llamas Borrajo, Juan F.
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Geochemical Exploration
Fecha: Enero 2011
Volumen: 108
Materias:
Palabras Clave Informales: XRF; ICP-AES; Trace elements; Mining; Sulphides
Escuela: E.T.S.I. Minas (UPM) [antigua denominación]
Departamento: Ingeniería Química y Combustibles [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Linares (Jaen, Spain) has been subjected to an intense mining and metallurgic activity during 2500 years. Basically, lead and silver have been extracted from galena; as well as copper and zinc. Different studies have been conducted to evaluate trace element concentrations to obtain relationships with anthropogenic and geologic factors. The analytical results of these studies have been obtained with ICP-AES. This analytical technique is relatively expensive and inaccessible in zones with scarce economic means. In this study, XRF analyses have been conducted and the obtained results are presented, as well as a comparison with the previously obtained ICP results. In both cases, a cluster analysis has been made to try to identify the same relations in the target area. 5 groups have been identified, mainly related with lithology. Only 10 of the 122 grid squares (each one of 1 km2) are classified in different groups if the cluster analysis is conducted with XRF results or ICP results. ICP classifies better where these grid squares are located, mostly, in contact zones of different lithologies.

Más información

ID de Registro: 8444
Identificador DC: http://oa.upm.es/8444/
Identificador OAI: oai:oa.upm.es:8444
Identificador DOI: 10.1016/j.gexplo.2010.09.002
URL Oficial: http://www.sciencedirect.com/science/journal/03756742
Depositado por: Memoria Investigacion
Depositado el: 23 Ago 2011 09:41
Ultima Modificación: 20 Abr 2016 17:13
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