Multivariate analysis, mass balance techniques, and statistical tests as tools in igneous petrology: application to the Sierra de las Cruces volcanic range (mexican volcanic belt)

Magmatic processes have usually been identified and evaluated using qualitative or semiquantitative geochemical or isotopic tools based on a restricted number of variables. However, a more complete and quantitative view could be reached applying multivariate analysis, mass balance techniques, and st...

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Main Author: Velasco Tapia, Fernando
Format: Article
Language:English
Published: Hindawi Publishing Coorporation 2014
Subjects:
Online Access:http://eprints.uanl.mx/4788/1/N29_Velasco-Tapia_SWJ_2014.pdf
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author Velasco Tapia, Fernando
author_facet Velasco Tapia, Fernando
author_sort Velasco Tapia, Fernando
collection Repositorio Institucional
description Magmatic processes have usually been identified and evaluated using qualitative or semiquantitative geochemical or isotopic tools based on a restricted number of variables. However, a more complete and quantitative view could be reached applying multivariate analysis, mass balance techniques, and statistical tests. As an example, in this work a statistical and quantitative scheme is applied to analyze the geochemical features for the Sierra de las Cruces (SC) volcanic range (Mexican Volcanic Belt). In this locality, the volcanic activity (3.7 to 0.5 Ma) was dominantly dacitic, but the presence of spheroidal andesitic enclaves and/or diverse disequilibrium features in majority of lavas confirms the operation of magma mixing/mingling. New discriminant-function-based multidimensional diagrams were used to discriminate tectonic setting. Statistical tests of discordancy and significance were applied to evaluate the influence of the subducting Cocos plate, which seems to be rather negligible for the SC magmas in relation to several major and trace elements. A cluster analysis followingWard’s linkage rule was carried out to classify the SC volcanic rocks geochemical groups. Finally, two mass-balance schemes were applied for the quantitative evaluation of the proportion of the end member components (dacitic and andesitic magmas) in the comingled lavas (binary mixtures).
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spelling eprints-47882020-06-04T20:31:31Z http://eprints.uanl.mx/4788/ Multivariate analysis, mass balance techniques, and statistical tests as tools in igneous petrology: application to the Sierra de las Cruces volcanic range (mexican volcanic belt) Velasco Tapia, Fernando QE Geología Magmatic processes have usually been identified and evaluated using qualitative or semiquantitative geochemical or isotopic tools based on a restricted number of variables. However, a more complete and quantitative view could be reached applying multivariate analysis, mass balance techniques, and statistical tests. As an example, in this work a statistical and quantitative scheme is applied to analyze the geochemical features for the Sierra de las Cruces (SC) volcanic range (Mexican Volcanic Belt). In this locality, the volcanic activity (3.7 to 0.5 Ma) was dominantly dacitic, but the presence of spheroidal andesitic enclaves and/or diverse disequilibrium features in majority of lavas confirms the operation of magma mixing/mingling. New discriminant-function-based multidimensional diagrams were used to discriminate tectonic setting. Statistical tests of discordancy and significance were applied to evaluate the influence of the subducting Cocos plate, which seems to be rather negligible for the SC magmas in relation to several major and trace elements. A cluster analysis followingWard’s linkage rule was carried out to classify the SC volcanic rocks geochemical groups. Finally, two mass-balance schemes were applied for the quantitative evaluation of the proportion of the end member components (dacitic and andesitic magmas) in the comingled lavas (binary mixtures). Hindawi Publishing Coorporation 2014-03-02 Article PeerReviewed text en http://eprints.uanl.mx/4788/1/N29_Velasco-Tapia_SWJ_2014.pdf http://eprints.uanl.mx/4788/1.haspreviewThumbnailVersion/N29_Velasco-Tapia_SWJ_2014.pdf Velasco Tapia, Fernando (2014) Multivariate analysis, mass balance techniques, and statistical tests as tools in igneous petrology: application to the Sierra de las Cruces volcanic range (mexican volcanic belt). Scientific World Journal, 2014. pp. 1-32. ISSN 1537-744X http://dx.doi.org/10.1155/2014/793236 793236
spellingShingle QE Geología
Velasco Tapia, Fernando
Multivariate analysis, mass balance techniques, and statistical tests as tools in igneous petrology: application to the Sierra de las Cruces volcanic range (mexican volcanic belt)
thumbnail https://rediab.uanl.mx/themes/sandal5/images/online.png
title Multivariate analysis, mass balance techniques, and statistical tests as tools in igneous petrology: application to the Sierra de las Cruces volcanic range (mexican volcanic belt)
title_full Multivariate analysis, mass balance techniques, and statistical tests as tools in igneous petrology: application to the Sierra de las Cruces volcanic range (mexican volcanic belt)
title_fullStr Multivariate analysis, mass balance techniques, and statistical tests as tools in igneous petrology: application to the Sierra de las Cruces volcanic range (mexican volcanic belt)
title_full_unstemmed Multivariate analysis, mass balance techniques, and statistical tests as tools in igneous petrology: application to the Sierra de las Cruces volcanic range (mexican volcanic belt)
title_short Multivariate analysis, mass balance techniques, and statistical tests as tools in igneous petrology: application to the Sierra de las Cruces volcanic range (mexican volcanic belt)
title_sort multivariate analysis mass balance techniques and statistical tests as tools in igneous petrology application to the sierra de las cruces volcanic range mexican volcanic belt
topic QE Geología
url http://eprints.uanl.mx/4788/1/N29_Velasco-Tapia_SWJ_2014.pdf
work_keys_str_mv AT velascotapiafernando multivariateanalysismassbalancetechniquesandstatisticaltestsastoolsinigneouspetrologyapplicationtothesierradelascrucesvolcanicrangemexicanvolcanicbelt