Comparação de duas metodologias de amostragem atmosférica com ferramenta estatística não paramétrica

In atmospheric aerosol sampling, it is inevitable that the air that carries particles is in motion, as a result of both externally driven wind and the sucking action of the sampler itself. High or low air flow sampling speeds may lead to significant particle size bias. The objective of this work is the validation of measurements enabling the comparison of species concentration from both air flow sampling techniques. The presence of several outliers and increase of residuals with concentration becomes obvious, requiring non-parametric methods, recommended for the handling of data which may not be normally distributed. This way, conversion factors are obtained for each of the various species under study using Kendall regression.

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Main Authors: Nunes,Maria João, Camões,Maria Filomena, McGovern,Francis, Santos,Sebastião, Raes,Frank
Format: Digital revista
Language:Portuguese
Published: Sociedade Brasileira de Química 2005
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422005000200002
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spelling oai:scielo:S0100-404220050002000022005-05-04Comparação de duas metodologias de amostragem atmosférica com ferramenta estatística não paramétricaNunes,Maria JoãoCamões,Maria FilomenaMcGovern,FrancisSantos,SebastiãoRaes,Frank atmospheric sampling aerosol analysis non-parametric statistics In atmospheric aerosol sampling, it is inevitable that the air that carries particles is in motion, as a result of both externally driven wind and the sucking action of the sampler itself. High or low air flow sampling speeds may lead to significant particle size bias. The objective of this work is the validation of measurements enabling the comparison of species concentration from both air flow sampling techniques. The presence of several outliers and increase of residuals with concentration becomes obvious, requiring non-parametric methods, recommended for the handling of data which may not be normally distributed. This way, conversion factors are obtained for each of the various species under study using Kendall regression.info:eu-repo/semantics/openAccessSociedade Brasileira de QuímicaQuímica Nova v.28 n.2 20052005-03-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422005000200002pt10.1590/S0100-40422005000200002
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
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region America del Sur
libraryname SciELO
language Portuguese
format Digital
author Nunes,Maria João
Camões,Maria Filomena
McGovern,Francis
Santos,Sebastião
Raes,Frank
spellingShingle Nunes,Maria João
Camões,Maria Filomena
McGovern,Francis
Santos,Sebastião
Raes,Frank
Comparação de duas metodologias de amostragem atmosférica com ferramenta estatística não paramétrica
author_facet Nunes,Maria João
Camões,Maria Filomena
McGovern,Francis
Santos,Sebastião
Raes,Frank
author_sort Nunes,Maria João
title Comparação de duas metodologias de amostragem atmosférica com ferramenta estatística não paramétrica
title_short Comparação de duas metodologias de amostragem atmosférica com ferramenta estatística não paramétrica
title_full Comparação de duas metodologias de amostragem atmosférica com ferramenta estatística não paramétrica
title_fullStr Comparação de duas metodologias de amostragem atmosférica com ferramenta estatística não paramétrica
title_full_unstemmed Comparação de duas metodologias de amostragem atmosférica com ferramenta estatística não paramétrica
title_sort comparação de duas metodologias de amostragem atmosférica com ferramenta estatística não paramétrica
description In atmospheric aerosol sampling, it is inevitable that the air that carries particles is in motion, as a result of both externally driven wind and the sucking action of the sampler itself. High or low air flow sampling speeds may lead to significant particle size bias. The objective of this work is the validation of measurements enabling the comparison of species concentration from both air flow sampling techniques. The presence of several outliers and increase of residuals with concentration becomes obvious, requiring non-parametric methods, recommended for the handling of data which may not be normally distributed. This way, conversion factors are obtained for each of the various species under study using Kendall regression.
publisher Sociedade Brasileira de Química
publishDate 2005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-40422005000200002
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AT camoesmariafilomena comparacaodeduasmetodologiasdeamostragematmosfericacomferramentaestatisticanaoparametrica
AT mcgovernfrancis comparacaodeduasmetodologiasdeamostragematmosfericacomferramentaestatisticanaoparametrica
AT santossebastiao comparacaodeduasmetodologiasdeamostragematmosfericacomferramentaestatisticanaoparametrica
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