Use of arithmetic progression of the pearson correlation coefficient for prediction of surface distortion of ornamental rocks

Detalhes bibliográficos
Autor(a) principal: Bolonini, Thiago M.
Data de Publicação: 2019
Outros Autores: Godoy, Antonio M. [UNESP], Figueiredo, Carlos Alberto M., Maurício, António, Pereira, Manuel F.
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.5016/geociencias.v38i3.13982
http://hdl.handle.net/11449/221754
Resumo: In accelerated aging of dimension stones in SO2 saturated chamber, the physico-chemical interactions has the purpose of simulate its exposure to acid rain. The presence of SO2, H2O, added to incident solar radiation (external) allow the photochemical formation of sulfuric acid (H2SO4) and the correlation between scanned surfaces of the specimens, before and after the exposure to H2SO4, provides the analysis of the alterations evolution. The estimated time spent, in years, for the changes to promote overall aesthetic distortion of the sample surface appearance is done through the arithmetic progression of the Pearson’s linear correlation coefficient (r) allowing, when equal to 0 (zero), assert the lack of correlation between images of samples subjected to the test and your original images. The results indicate the Butterfly Gold as the most susceptible to superficial aesthetic decharacterization (3,08 years), followed by the Butterfly Green (3,91 years) and Butterfly Beige (16,03 years). We emphasize that the decharacterization not necessarily imply in structural or physical-mechanical impairment. The concentration of the gas in the chamber (25 ppm) was intentionally elevated to accelerate the deterioration process. Remember that the camera simulates weather conditions practically in continuous flow requiring the researcher to the interpretations consider the SO2 concentration at the atmosphere, the duration of the rainy seasons, the incidence of acid rain and its intensity over a year in different territories. The estimates calculated do not prevent the application of these materials as external or internal coatings as usual cleaning procedures can be seamlessly applied to conservation.
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spelling Use of arithmetic progression of the pearson correlation coefficient for prediction of surface distortion of ornamental rocksUtilização da progressão aritmética do coeficiente de correlação de pearson para previsão da descaracterização superficial de rochas ornamentaisAccelerated agingAesthetic decharacterizationArithmetic progressionCorrelation of imagesPearson’s linear correlation coefficientIn accelerated aging of dimension stones in SO2 saturated chamber, the physico-chemical interactions has the purpose of simulate its exposure to acid rain. The presence of SO2, H2O, added to incident solar radiation (external) allow the photochemical formation of sulfuric acid (H2SO4) and the correlation between scanned surfaces of the specimens, before and after the exposure to H2SO4, provides the analysis of the alterations evolution. The estimated time spent, in years, for the changes to promote overall aesthetic distortion of the sample surface appearance is done through the arithmetic progression of the Pearson’s linear correlation coefficient (r) allowing, when equal to 0 (zero), assert the lack of correlation between images of samples subjected to the test and your original images. The results indicate the Butterfly Gold as the most susceptible to superficial aesthetic decharacterization (3,08 years), followed by the Butterfly Green (3,91 years) and Butterfly Beige (16,03 years). We emphasize that the decharacterization not necessarily imply in structural or physical-mechanical impairment. The concentration of the gas in the chamber (25 ppm) was intentionally elevated to accelerate the deterioration process. Remember that the camera simulates weather conditions practically in continuous flow requiring the researcher to the interpretations consider the SO2 concentration at the atmosphere, the duration of the rainy seasons, the incidence of acid rain and its intensity over a year in different territories. The estimates calculated do not prevent the application of these materials as external or internal coatings as usual cleaning procedures can be seamlessly applied to conservation.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Universidade Federal do Espirito Santo Centro de Ciências Jurídicas Econômicas Depto de Gemologia, End. Av. Fernando Ferrari, 514-GoiabeirasUniversidade Estadual Paulista, Av. 24A, 1.515Centro de Petrologia e Geoquímica do Instituto Superior Técnico - IST, Av. Rovisco Pais nº 1Universidade Estadual Paulista, Av. 24A, 1.515CNPq: 141706/2012-0CAPES: 3030/13-0Universidade Federal do Espírito Santo (UFES)Universidade Estadual Paulista (UNESP)Centro de Petrologia e Geoquímica do Instituto Superior Técnico - ISTBolonini, Thiago M.Godoy, Antonio M. [UNESP]Figueiredo, Carlos Alberto M.Maurício, AntónioPereira, Manuel F.2022-04-28T19:40:16Z2022-04-28T19:40:16Z2019-12-19info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article751-763http://dx.doi.org/10.5016/geociencias.v38i3.13982Geociencias, v. 38, n. 3, p. 751-763, 2019.1980-900X0101-9082http://hdl.handle.net/11449/22175410.5016/geociencias.v38i3.139822-s2.0-85106460301Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporGeocienciasinfo:eu-repo/semantics/openAccess2022-04-28T19:40:16Zoai:repositorio.unesp.br:11449/221754Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:25:43.126129Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Use of arithmetic progression of the pearson correlation coefficient for prediction of surface distortion of ornamental rocks
Utilização da progressão aritmética do coeficiente de correlação de pearson para previsão da descaracterização superficial de rochas ornamentais
title Use of arithmetic progression of the pearson correlation coefficient for prediction of surface distortion of ornamental rocks
spellingShingle Use of arithmetic progression of the pearson correlation coefficient for prediction of surface distortion of ornamental rocks
Bolonini, Thiago M.
Accelerated aging
Aesthetic decharacterization
Arithmetic progression
Correlation of images
Pearson’s linear correlation coefficient
title_short Use of arithmetic progression of the pearson correlation coefficient for prediction of surface distortion of ornamental rocks
title_full Use of arithmetic progression of the pearson correlation coefficient for prediction of surface distortion of ornamental rocks
title_fullStr Use of arithmetic progression of the pearson correlation coefficient for prediction of surface distortion of ornamental rocks
title_full_unstemmed Use of arithmetic progression of the pearson correlation coefficient for prediction of surface distortion of ornamental rocks
title_sort Use of arithmetic progression of the pearson correlation coefficient for prediction of surface distortion of ornamental rocks
author Bolonini, Thiago M.
author_facet Bolonini, Thiago M.
Godoy, Antonio M. [UNESP]
Figueiredo, Carlos Alberto M.
Maurício, António
Pereira, Manuel F.
author_role author
author2 Godoy, Antonio M. [UNESP]
Figueiredo, Carlos Alberto M.
Maurício, António
Pereira, Manuel F.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Federal do Espírito Santo (UFES)
Universidade Estadual Paulista (UNESP)
Centro de Petrologia e Geoquímica do Instituto Superior Técnico - IST
dc.contributor.author.fl_str_mv Bolonini, Thiago M.
Godoy, Antonio M. [UNESP]
Figueiredo, Carlos Alberto M.
Maurício, António
Pereira, Manuel F.
dc.subject.por.fl_str_mv Accelerated aging
Aesthetic decharacterization
Arithmetic progression
Correlation of images
Pearson’s linear correlation coefficient
topic Accelerated aging
Aesthetic decharacterization
Arithmetic progression
Correlation of images
Pearson’s linear correlation coefficient
description In accelerated aging of dimension stones in SO2 saturated chamber, the physico-chemical interactions has the purpose of simulate its exposure to acid rain. The presence of SO2, H2O, added to incident solar radiation (external) allow the photochemical formation of sulfuric acid (H2SO4) and the correlation between scanned surfaces of the specimens, before and after the exposure to H2SO4, provides the analysis of the alterations evolution. The estimated time spent, in years, for the changes to promote overall aesthetic distortion of the sample surface appearance is done through the arithmetic progression of the Pearson’s linear correlation coefficient (r) allowing, when equal to 0 (zero), assert the lack of correlation between images of samples subjected to the test and your original images. The results indicate the Butterfly Gold as the most susceptible to superficial aesthetic decharacterization (3,08 years), followed by the Butterfly Green (3,91 years) and Butterfly Beige (16,03 years). We emphasize that the decharacterization not necessarily imply in structural or physical-mechanical impairment. The concentration of the gas in the chamber (25 ppm) was intentionally elevated to accelerate the deterioration process. Remember that the camera simulates weather conditions practically in continuous flow requiring the researcher to the interpretations consider the SO2 concentration at the atmosphere, the duration of the rainy seasons, the incidence of acid rain and its intensity over a year in different territories. The estimates calculated do not prevent the application of these materials as external or internal coatings as usual cleaning procedures can be seamlessly applied to conservation.
publishDate 2019
dc.date.none.fl_str_mv 2019-12-19
2022-04-28T19:40:16Z
2022-04-28T19:40:16Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.5016/geociencias.v38i3.13982
Geociencias, v. 38, n. 3, p. 751-763, 2019.
1980-900X
0101-9082
http://hdl.handle.net/11449/221754
10.5016/geociencias.v38i3.13982
2-s2.0-85106460301
url http://dx.doi.org/10.5016/geociencias.v38i3.13982
http://hdl.handle.net/11449/221754
identifier_str_mv Geociencias, v. 38, n. 3, p. 751-763, 2019.
1980-900X
0101-9082
10.5016/geociencias.v38i3.13982
2-s2.0-85106460301
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Geociencias
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 751-763
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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