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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
05/04/2021 |
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Data da última atualização: |
05/04/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
LUIZ, A. J. B.; LIMA, M. A. de. |
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Afiliação: |
ALFREDO JOSE BARRETO LUIZ, CNPMA; MAGDA APARECIDA DE LIMA, CNPMA. |
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Título: |
Application of the Kolmogorov-Smirnov test to compare greenhouse gas emissions over time. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista Brasileira de Biometria, v. 39, n. 1, p. 60-70, 2021. |
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ISSN: |
1983-0823 |
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DOI: |
https://doi.org/10.28951/rbb.v39i1.498 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: The national inventories of greenhouse gas (GHG) emissions, which are periodically prepared by countries that signed the Climate Change Convention, compute emissions from anthropogenic sources among them agricultural activities. The protocols established within the scope of the International Panel on Climate Change (IPCC) make it possible to estimate these emissions. These protocols use standard emission factors that vary according to the characteristics of the monitored activities and only scientific research, published in journals of recognized quality, can establish other local factors. Brazilian researchers carry out experiments to measure GHG emissions from agricultural activities, aiming to calculate specific parameters for the national climatic and management conditions. These field experiments are complex, costly, with a limited number of repetitions and, eventually, high natural variability. Often, these limitations result in the inability of the analysis of variance (ANOVA) to identify differences between treatments. The objective of this work is to present the non-parametric Kolmogorov-Smirnov (KS) test as an alternative to compare the effect of flooded irrigation management on methane (CH4) emission throughout the rice crop cycle. We present a case study in which ANOVA produced non-significant results for the adjustment of the model while the KS identified the emission curves as significantly different. The KS test could be adapted, via the SAS NPAR1WAY routine, to compare events with responses over time, such as methane emissions in flooded rice, resulting in test values and graphs that are easy to understand and interpret. MenosAbstract: The national inventories of greenhouse gas (GHG) emissions, which are periodically prepared by countries that signed the Climate Change Convention, compute emissions from anthropogenic sources among them agricultural activities. The protocols established within the scope of the International Panel on Climate Change (IPCC) make it possible to estimate these emissions. These protocols use standard emission factors that vary according to the characteristics of the monitored activities and only scientific research, published in journals of recognized quality, can establish other local factors. Brazilian researchers carry out experiments to measure GHG emissions from agricultural activities, aiming to calculate specific parameters for the national climatic and management conditions. These field experiments are complex, costly, with a limited number of repetitions and, eventually, high natural variability. Often, these limitations result in the inability of the analysis of variance (ANOVA) to identify differences between treatments. The objective of this work is to present the non-parametric Kolmogorov-Smirnov (KS) test as an alternative to compare the effect of flooded irrigation management on methane (CH4) emission throughout the rice crop cycle. We present a case study in which ANOVA produced non-significant results for the adjustment of the model while the KS identified the emission curves as significantly different. The KS test could be adapted, via the SAS NPAR1WAY... Mostrar Tudo |
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Palavras-Chave: |
GHG; KS; Nonparametric tests. |
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Thesagro: |
Efeito Estufa; Metano; Método Estatístico. |
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Thesaurus Nal: |
Greenhouse gas emissions; Methane; Statistical analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/222348/1/Luiz-Application-Kolmogorov-Smirnov-2021.pdf
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Marc: |
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022 $a1983-0823
024 7 $ahttps://doi.org/10.28951/rbb.v39i1.498$2DOI
100 1 $aLUIZ, A. J. B.
245 $aApplication of the Kolmogorov-Smirnov test to compare greenhouse gas emissions over time.$h[electronic resource]
260 $c2021
520 $aAbstract: The national inventories of greenhouse gas (GHG) emissions, which are periodically prepared by countries that signed the Climate Change Convention, compute emissions from anthropogenic sources among them agricultural activities. The protocols established within the scope of the International Panel on Climate Change (IPCC) make it possible to estimate these emissions. These protocols use standard emission factors that vary according to the characteristics of the monitored activities and only scientific research, published in journals of recognized quality, can establish other local factors. Brazilian researchers carry out experiments to measure GHG emissions from agricultural activities, aiming to calculate specific parameters for the national climatic and management conditions. These field experiments are complex, costly, with a limited number of repetitions and, eventually, high natural variability. Often, these limitations result in the inability of the analysis of variance (ANOVA) to identify differences between treatments. The objective of this work is to present the non-parametric Kolmogorov-Smirnov (KS) test as an alternative to compare the effect of flooded irrigation management on methane (CH4) emission throughout the rice crop cycle. We present a case study in which ANOVA produced non-significant results for the adjustment of the model while the KS identified the emission curves as significantly different. The KS test could be adapted, via the SAS NPAR1WAY routine, to compare events with responses over time, such as methane emissions in flooded rice, resulting in test values and graphs that are easy to understand and interpret.
650 $aGreenhouse gas emissions
650 $aMethane
650 $aStatistical analysis
650 $aEfeito Estufa
650 $aMetano
650 $aMétodo Estatístico
653 $aGHG
653 $aKS
653 $aNonparametric tests
700 1 $aLIMA, M. A. de
773 $tRevista Brasileira de Biometria$gv. 39, n. 1, p. 60-70, 2021.
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Embrapa Meio Ambiente (CNPMA) |
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| 29. |  | LIMA, M. A. de; CALEGARIO, F. F.; SANCHES, J. Qualidade e segurança de morangos produzidos em diferentes sistemas de produção. Horticultura Brasileira, Brasília, DF, v. 30, n. 2, p. S7560-S7567, jul. 2012. Suplemento. Edição dos Anais do 52º Congresso Brasileiro de Olericultura, Salvador, jul. 2012.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 144 | |
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