Use of arithmetic progression of the pearson correlation coefficient for prediction of surface distortion of ornamental rocks
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , |
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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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 |
|
_version_ |
1808129200372056064 |