Statistical analysis of carbon monoxide concentration in the city of Ipatinga, Minas Gerais, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/34220 |
Resumo: | This article aims to find the statistical distribution that best adesits to the set of atmospheric carbon monoxide (COatm) data recorded in micrograms per cubic meter (μg.m-3) by four automatic air quality monitoring stations (hourly measurements) installed in the city of Ipatinga, Vale do Aço, Minas Gerais (MG), Brazil. The historical data series comprises periods, from October-2013 to October-2017 (4 years), recorded in the neighborhoods Bom Retiro, Cariru and Cidade Nobre, and from January-2014 to March-2016 (2 years) measured in the Venice neighborhood. To reduce the huge discrepancies between the hourly data, the one was moved to the analysis of weekly amounts of COatm capture. With the application of variance analysis (ANOVA) after statistical data processing, it was found that the weekly data of COatm collected in the three stations together in the biennium 2015-16 were statistically equal, and that the statistical distribution that best adhered to the data set was beta: [135,000 + 170,000 * BETA(1.47 , 1.72)] μg.m-3. When the approximation was made by normal distribution (NORM), the following value was obtained: [NORM (213,000, 41,100)] μg.m−3, where the hypothesis that the data followed this distribution with the COatm accumulated in the three stations analyzed was not rejected. Historical data show that the concentration of carbon dioxide (CO2) has remained constant between 172 and 300 parts per million (ppm). But this amount has increased exponentially in recent years. |
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Statistical analysis of carbon monoxide concentration in the city of Ipatinga, Minas Gerais, BrazilAnálisis estadístico de la concentración de monóxido de carbono en la ciudad de Ipatinga, Minas Gerais, BrasilAnálise estatística da concentração de monóxido de carbono na cidade de Ipatinga, Minas Gerais, BrasilMonóxido/Dióxido de carbonoDistribuição EstatísticaMonitoramento da qualidade do arMeio Ambiente.Monoxide/Carbon dioxideStatistical DistributionAir quality monitoringEnvironment.Monóxido/Dióxido de CarbonoDistribución EstadísticaMonitoreo de la Calidad del AireMedio Ambiente.This article aims to find the statistical distribution that best adesits to the set of atmospheric carbon monoxide (COatm) data recorded in micrograms per cubic meter (μg.m-3) by four automatic air quality monitoring stations (hourly measurements) installed in the city of Ipatinga, Vale do Aço, Minas Gerais (MG), Brazil. The historical data series comprises periods, from October-2013 to October-2017 (4 years), recorded in the neighborhoods Bom Retiro, Cariru and Cidade Nobre, and from January-2014 to March-2016 (2 years) measured in the Venice neighborhood. To reduce the huge discrepancies between the hourly data, the one was moved to the analysis of weekly amounts of COatm capture. With the application of variance analysis (ANOVA) after statistical data processing, it was found that the weekly data of COatm collected in the three stations together in the biennium 2015-16 were statistically equal, and that the statistical distribution that best adhered to the data set was beta: [135,000 + 170,000 * BETA(1.47 , 1.72)] μg.m-3. When the approximation was made by normal distribution (NORM), the following value was obtained: [NORM (213,000, 41,100)] μg.m−3, where the hypothesis that the data followed this distribution with the COatm accumulated in the three stations analyzed was not rejected. Historical data show that the concentration of carbon dioxide (CO2) has remained constant between 172 and 300 parts per million (ppm). But this amount has increased exponentially in recent years.Este artículo tiene como objetivo encontrar la distribución estadística que mejor se adapte al conjunto de datos de monóxido de carbono atmosférico (COatm) registrados en microgramos por metro cúbico (μg.m-3) por cuatro estaciones automáticas de monitoreo de la calidad del aire (mediciones horarias) instaladas en la ciudad de Ipatinga, Vale do Aço (Valle del Acero), Minas Gerais (MG), Brasil. La serie de datos históricos comprende los períodos de octubre-2013 a octubre-2017 (4 años), registrado en los barrios Bom Retiro, Cariru y Cidade Nobre, y de enero-2014 a marzo-2016 (2 años) medido en el barrio de Venecia. Para reducir las enormes discrepancias entre los datos horarios, se trasladó al análisis de las cantidades semanales de captura de COatm. Con la aplicación del análisis de varianza (ANOVA) después del procesamiento estadístico de datos, se encontró que los datos semanales de COatm recopilados en las tres estaciones juntas en el bienio 2015-16 eran estadísticamente iguales, y que la distribución estadística que mejor se adhirió al conjunto de datos fue beta: [135,000 + 170,000 * BETA(1.47 , 1.72)] μg.m-3. Cuando se realizó la aproximación por distribución normal (NORM), se obtuvo el siguiente valor: [NORM (213.000, 41.100)] μg.m−3, donde no se rechazó la hipótesis de que los datos seguían esta distribución con la captación de COatm acumulada en las tres estaciones analizadas. Los datos históricos muestran que la concentración de dióxido de carbono (CO2) se ha mantenido constante entre 172 y 300 partes por millón (ppm). Pero esta cantidad ha aumentado exponencialmente en los últimos años.O presente artigo objetiva encontrar a distribuição estatística que melhor se adere ao conjunto de dados de monóxido de carbono atmosférico (COatm) registrado em microgramas por metro cúbico (µg.m-3) por quatro estações automáticas de monitoramento da qualidade do ar (medições horárias) instaladas na cidade de Ipatinga, Vale do Aço, Minas Gerais (MG), Brasil. A série histórica de dados compreende os períodos de outubro-2013 a outubro-2017 (4 anos), registrados nos bairros Bom Retiro, Cariru e Cidade Nobre, e de janeiro-2014 a março-2016 (2 anos) medido no bairro Veneza. Para reduzir as enormes discrepâncias entre os dados horários, mudou-se o para a análise de quantias semanais de captação de COatm. Com a aplicação da análise de variância (ANOVA) após o tratamento estatístico de dados, constatou-se que os dados semanais de COatm coletados nas três estações juntas no biênio 2015-16 eram estatisticamente iguais, e que a distribuição estatística que melhor se aderiu ao conjunto de dados foi a Beta: [135.000 + 170.000 * BETA(1,47 , 1,72)] µg.m-3. Ao se fazer a aproximação pela distribuição Normal (NORM), obteve-se o seguinte valor: [NORM (213.000, 41.100)] µg.m−3, onde não se rejeitou a hipótese de que os dados seguiam essa distribuição com as captações de COatm acumuladas nas três estações analisadas. Dados históricos mostram que a concentração de dióxido de carbono (CO2) tem permanecido constante entre 172 e 300 partes por milhão (ppm). Mas, esta quantia tem aumentado de forma exponencial nos últimos anos. Research, Society and Development2022-09-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/3422010.33448/rsd-v11i12.34220Research, Society and Development; Vol. 11 No. 12; e236111234220Research, Society and Development; Vol. 11 Núm. 12; e236111234220Research, Society and Development; v. 11 n. 12; e2361112342202525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/34220/29024Copyright (c) 2022 Heitor Cardoso de Brito; Carlos Alberto Mirez Tarrillo; Carlos Henrique Alexandrino; Nathalia Stockler Fialho Soareshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBrito, Heitor Cardoso deTarrillo, Carlos Alberto Mirez Alexandrino, Carlos Henrique Soares, Nathalia Stockler Fialho2022-09-26T11:56:08Zoai:ojs.pkp.sfu.ca:article/34220Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:49:36.647574Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Statistical analysis of carbon monoxide concentration in the city of Ipatinga, Minas Gerais, Brazil Análisis estadístico de la concentración de monóxido de carbono en la ciudad de Ipatinga, Minas Gerais, Brasil Análise estatística da concentração de monóxido de carbono na cidade de Ipatinga, Minas Gerais, Brasil |
title |
Statistical analysis of carbon monoxide concentration in the city of Ipatinga, Minas Gerais, Brazil |
spellingShingle |
Statistical analysis of carbon monoxide concentration in the city of Ipatinga, Minas Gerais, Brazil Brito, Heitor Cardoso de Monóxido/Dióxido de carbono Distribuição Estatística Monitoramento da qualidade do ar Meio Ambiente. Monoxide/Carbon dioxide Statistical Distribution Air quality monitoring Environment. Monóxido/Dióxido de Carbono Distribución Estadística Monitoreo de la Calidad del Aire Medio Ambiente. |
title_short |
Statistical analysis of carbon monoxide concentration in the city of Ipatinga, Minas Gerais, Brazil |
title_full |
Statistical analysis of carbon monoxide concentration in the city of Ipatinga, Minas Gerais, Brazil |
title_fullStr |
Statistical analysis of carbon monoxide concentration in the city of Ipatinga, Minas Gerais, Brazil |
title_full_unstemmed |
Statistical analysis of carbon monoxide concentration in the city of Ipatinga, Minas Gerais, Brazil |
title_sort |
Statistical analysis of carbon monoxide concentration in the city of Ipatinga, Minas Gerais, Brazil |
author |
Brito, Heitor Cardoso de |
author_facet |
Brito, Heitor Cardoso de Tarrillo, Carlos Alberto Mirez Alexandrino, Carlos Henrique Soares, Nathalia Stockler Fialho |
author_role |
author |
author2 |
Tarrillo, Carlos Alberto Mirez Alexandrino, Carlos Henrique Soares, Nathalia Stockler Fialho |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Brito, Heitor Cardoso de Tarrillo, Carlos Alberto Mirez Alexandrino, Carlos Henrique Soares, Nathalia Stockler Fialho |
dc.subject.por.fl_str_mv |
Monóxido/Dióxido de carbono Distribuição Estatística Monitoramento da qualidade do ar Meio Ambiente. Monoxide/Carbon dioxide Statistical Distribution Air quality monitoring Environment. Monóxido/Dióxido de Carbono Distribución Estadística Monitoreo de la Calidad del Aire Medio Ambiente. |
topic |
Monóxido/Dióxido de carbono Distribuição Estatística Monitoramento da qualidade do ar Meio Ambiente. Monoxide/Carbon dioxide Statistical Distribution Air quality monitoring Environment. Monóxido/Dióxido de Carbono Distribución Estadística Monitoreo de la Calidad del Aire Medio Ambiente. |
description |
This article aims to find the statistical distribution that best adesits to the set of atmospheric carbon monoxide (COatm) data recorded in micrograms per cubic meter (μg.m-3) by four automatic air quality monitoring stations (hourly measurements) installed in the city of Ipatinga, Vale do Aço, Minas Gerais (MG), Brazil. The historical data series comprises periods, from October-2013 to October-2017 (4 years), recorded in the neighborhoods Bom Retiro, Cariru and Cidade Nobre, and from January-2014 to March-2016 (2 years) measured in the Venice neighborhood. To reduce the huge discrepancies between the hourly data, the one was moved to the analysis of weekly amounts of COatm capture. With the application of variance analysis (ANOVA) after statistical data processing, it was found that the weekly data of COatm collected in the three stations together in the biennium 2015-16 were statistically equal, and that the statistical distribution that best adhered to the data set was beta: [135,000 + 170,000 * BETA(1.47 , 1.72)] μg.m-3. When the approximation was made by normal distribution (NORM), the following value was obtained: [NORM (213,000, 41,100)] μg.m−3, where the hypothesis that the data followed this distribution with the COatm accumulated in the three stations analyzed was not rejected. Historical data show that the concentration of carbon dioxide (CO2) has remained constant between 172 and 300 parts per million (ppm). But this amount has increased exponentially in recent years. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-09-12 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/34220 10.33448/rsd-v11i12.34220 |
url |
https://rsdjournal.org/index.php/rsd/article/view/34220 |
identifier_str_mv |
10.33448/rsd-v11i12.34220 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/34220/29024 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 11 No. 12; e236111234220 Research, Society and Development; Vol. 11 Núm. 12; e236111234220 Research, Society and Development; v. 11 n. 12; e236111234220 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052722362449920 |