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Recolector de Ciencia Abierta, RECOLECTA
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Determinación práctica de umbrales de anomalía en prospección sobre redes de drenaje

Authors: Fernandez-Turiel, J. L.; Durán Barrachina, M. A.;

Determinación práctica de umbrales de anomalía en prospección sobre redes de drenaje

Abstract

[ES] El propósito del presente trabajo es dar a conocer un método sencillo y práctico para la determinación correcta de los umbrales de anomalía en la prospección geoquímica y mineralógica cuantitativa sobre redes de drenaje (concentrados de sedimento, sedimentos y aguas). El método se basa en el estudio de la distribución de las variables consideradas (elementos químicos o minerales) sobre gráficos log-probavilísticos.

[EN] The aim of the present paper is to offer a simple and practical method for the correct determination of anomaly thresholds in the geochemical and quantitative mineralogical exploration of drainage systems (sediment concentrates, sediments and waters). The method is based on the study of the distribution shown by the variables considered (chemical elements or minerals) on log-probability graphs.

9 páginas, 2 figuras, 3 tablas.

Peer reviewed

Keywords

Umbral de anomalía, Background, Métodos de prospección, Threshold, Exploration methods, Log-probability graphs, Gráficos log-probabilííticos, Fondo regional

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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