Cargando…

Shannon Entropy as an Indicator for Sorting Processes in Hydrothermal Systems

Hydrothermal processes modify the chemical and mineralogical composition of rock. We studied and quantified the effects of hydrothermal processes on the composition of volcanic rocks by a novel application of the Shannon entropy, which is a measure of uncertainty and commonly applied in information...

Descripción completa

Detalles Bibliográficos
Autores principales: van Ruitenbeek, Frank J. A., Goseling, Jasper, Bakker, Wim H., Hein, Kim A. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517191/
https://www.ncbi.nlm.nih.gov/pubmed/33286427
http://dx.doi.org/10.3390/e22060656
_version_ 1783587173233065984
author van Ruitenbeek, Frank J. A.
Goseling, Jasper
Bakker, Wim H.
Hein, Kim A. A.
author_facet van Ruitenbeek, Frank J. A.
Goseling, Jasper
Bakker, Wim H.
Hein, Kim A. A.
author_sort van Ruitenbeek, Frank J. A.
collection PubMed
description Hydrothermal processes modify the chemical and mineralogical composition of rock. We studied and quantified the effects of hydrothermal processes on the composition of volcanic rocks by a novel application of the Shannon entropy, which is a measure of uncertainty and commonly applied in information theory. We show here that the Shannon entropies calculated on major elemental chemical composition data and short-wave infrared (SWIR) reflectance spectra of hydrothermally altered rocks are lower than unaltered rocks with a comparable primary composition. The lowering of the Shannon entropy indicates chemical and spectral sorting during hydrothermal alteration of rocks. The hydrothermal processes described in this study present a natural mechanism for transforming energy from heat to increased order in rock. The increased order is manifest as the increased sorting of chemical elements and SWIR absorption features of the rock, and can be measured and quantified by the Shannon entropy. The results are useful for the study of hydrothermal mineral deposits, early life environments and the effects of hydrothermal processes on rocks.
format Online
Article
Text
id pubmed-7517191
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-75171912020-11-09 Shannon Entropy as an Indicator for Sorting Processes in Hydrothermal Systems van Ruitenbeek, Frank J. A. Goseling, Jasper Bakker, Wim H. Hein, Kim A. A. Entropy (Basel) Article Hydrothermal processes modify the chemical and mineralogical composition of rock. We studied and quantified the effects of hydrothermal processes on the composition of volcanic rocks by a novel application of the Shannon entropy, which is a measure of uncertainty and commonly applied in information theory. We show here that the Shannon entropies calculated on major elemental chemical composition data and short-wave infrared (SWIR) reflectance spectra of hydrothermally altered rocks are lower than unaltered rocks with a comparable primary composition. The lowering of the Shannon entropy indicates chemical and spectral sorting during hydrothermal alteration of rocks. The hydrothermal processes described in this study present a natural mechanism for transforming energy from heat to increased order in rock. The increased order is manifest as the increased sorting of chemical elements and SWIR absorption features of the rock, and can be measured and quantified by the Shannon entropy. The results are useful for the study of hydrothermal mineral deposits, early life environments and the effects of hydrothermal processes on rocks. MDPI 2020-06-13 /pmc/articles/PMC7517191/ /pubmed/33286427 http://dx.doi.org/10.3390/e22060656 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
van Ruitenbeek, Frank J. A.
Goseling, Jasper
Bakker, Wim H.
Hein, Kim A. A.
Shannon Entropy as an Indicator for Sorting Processes in Hydrothermal Systems
title Shannon Entropy as an Indicator for Sorting Processes in Hydrothermal Systems
title_full Shannon Entropy as an Indicator for Sorting Processes in Hydrothermal Systems
title_fullStr Shannon Entropy as an Indicator for Sorting Processes in Hydrothermal Systems
title_full_unstemmed Shannon Entropy as an Indicator for Sorting Processes in Hydrothermal Systems
title_short Shannon Entropy as an Indicator for Sorting Processes in Hydrothermal Systems
title_sort shannon entropy as an indicator for sorting processes in hydrothermal systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7517191/
https://www.ncbi.nlm.nih.gov/pubmed/33286427
http://dx.doi.org/10.3390/e22060656
work_keys_str_mv AT vanruitenbeekfrankja shannonentropyasanindicatorforsortingprocessesinhydrothermalsystems
AT goselingjasper shannonentropyasanindicatorforsortingprocessesinhydrothermalsystems
AT bakkerwimh shannonentropyasanindicatorforsortingprocessesinhydrothermalsystems
AT heinkimaa shannonentropyasanindicatorforsortingprocessesinhydrothermalsystems