Mann-Kendall test application for trend detection in the Cuiabá River-MT

Detalhes bibliográficos
Autor(a) principal: Silva, Luis Enrique Fernandes da
Data de Publicação: 2020
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/6560
Resumo: Time series, also called historical or chronological series, are sets of observations collected in an orderly manner over time. Studies of meteorological variables, such as flow, have been increasingly disseminated due to extreme events of climate change. The present work applied the time series methodology to the flow data of the city of Cuiabá (MT) in the period from 1933 to 2016, having Software R as its main tool, in a simple way, describing how alternative we can analyze time series using the free software R, this article aimed to search for Trend verification, using the Mann-Kendall test. In this context, to achieve this objective, the methodology used was quantitative research based on case study. It was concluded that the use of the Mann-Kendall non-parametric test in Free Software R satisfied the research interest, fulfilling the execution of the methodology stages.
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spelling Mann-Kendall test application for trend detection in the Cuiabá River-MTAplicación de la prueba de Mann-Kendall para la detección de tendencias en el río Cuiabá-MTAplicação do teste de Mann-Kendall para detecção de tendência no Rio Cuiabá-MTRecursos hídricosSérie temporalTeste de tendência.Recursos hídricosSeries de tiempoPrueba de tendencia.Water resourcesTime seriesTrend Test.Time series, also called historical or chronological series, are sets of observations collected in an orderly manner over time. Studies of meteorological variables, such as flow, have been increasingly disseminated due to extreme events of climate change. The present work applied the time series methodology to the flow data of the city of Cuiabá (MT) in the period from 1933 to 2016, having Software R as its main tool, in a simple way, describing how alternative we can analyze time series using the free software R, this article aimed to search for Trend verification, using the Mann-Kendall test. In this context, to achieve this objective, the methodology used was quantitative research based on case study. It was concluded that the use of the Mann-Kendall non-parametric test in Free Software R satisfied the research interest, fulfilling the execution of the methodology stages.Las series de tiempo, también llamadas series históricas o cronológicas, son conjuntos de observaciones recopiladas de manera ordenada a lo largo del tiempo. Los estudios de variables meteorológicas, como el flujo, se han difundido cada vez más debido a los eventos extremos del cambio climático. El presente trabajo aplicó la metodología de series de tiempo a los datos de flujo de la ciudad de Cuiabá (MT) en el período de 1933 a 2016, teniendo el Software R como su herramienta principal, de una manera simple, describiendo cómo alternativa podemos analizar series de tiempo usando el software libre R, este artículo tuvo como objetivo buscar la verificación de tendencias, utilizando la prueba de Mann-Kendall. En este contexto, para lograr este objetivo, la metodología utilizada fue la investigación cuantitativa basada en un estudio de caso. Se concluyó que el uso de la prueba no paramétrica de Mann-Kendall en Software Libre R satisfizo el interés de la investigación, cumpliendo la ejecución de las etapas de la metodología.Séries temporais, também denominadas séries históricas ou cronológicas, são conjuntos de observações coletadas de forma ordenada ao longo do tempo. Os estudos das variáveis meteorológicas, como a vazão, têm sido cada vez mais disseminados em virtude dos eventos extremos de mudanças climáticas. O presente trabalho aplicou a metodologia de série temporal nos dados de vazão do município de Cuiabá (MT) no período de 1933 a 2016, tendo como ferramenta principal o Software R, de forma simples, descrever de que forma alternativa podemos analisar séries temporais utilizando o software livre R, o presente artigo teve, como objetivo, a busca pela verificação de Tendência, usando o teste de Mann-Kendall. Neste contexto, para atingir esse objetivo, a metodologia empregada utilizou-se a pesquisa quantitativa baseada em estudo de caso. Concluiu-se que a utilização do teste não paramétrico de Mann-Kendall no Software livre R satisfez o interesse da pesquisa, cumprindo a execução dos estágios da metodologia.Research, Society and Development2020-09-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/656010.33448/rsd-v9i9.6560Research, Society and Development; Vol. 9 No. 9; e712996560Research, Society and Development; Vol. 9 Núm. 9; e712996560Research, Society and Development; v. 9 n. 9; e7129965602525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/6560/6922Copyright (c) 2020 Luis Enrique Fernandes da Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Luis Enrique Fernandes da 2020-09-18T01:42:11Zoai:ojs.pkp.sfu.ca:article/6560Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:29:38.989557Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Mann-Kendall test application for trend detection in the Cuiabá River-MT
Aplicación de la prueba de Mann-Kendall para la detección de tendencias en el río Cuiabá-MT
Aplicação do teste de Mann-Kendall para detecção de tendência no Rio Cuiabá-MT
title Mann-Kendall test application for trend detection in the Cuiabá River-MT
spellingShingle Mann-Kendall test application for trend detection in the Cuiabá River-MT
Silva, Luis Enrique Fernandes da
Recursos hídricos
Série temporal
Teste de tendência.
Recursos hídricos
Series de tiempo
Prueba de tendencia.
Water resources
Time series
Trend Test.
title_short Mann-Kendall test application for trend detection in the Cuiabá River-MT
title_full Mann-Kendall test application for trend detection in the Cuiabá River-MT
title_fullStr Mann-Kendall test application for trend detection in the Cuiabá River-MT
title_full_unstemmed Mann-Kendall test application for trend detection in the Cuiabá River-MT
title_sort Mann-Kendall test application for trend detection in the Cuiabá River-MT
author Silva, Luis Enrique Fernandes da
author_facet Silva, Luis Enrique Fernandes da
author_role author
dc.contributor.author.fl_str_mv Silva, Luis Enrique Fernandes da
dc.subject.por.fl_str_mv Recursos hídricos
Série temporal
Teste de tendência.
Recursos hídricos
Series de tiempo
Prueba de tendencia.
Water resources
Time series
Trend Test.
topic Recursos hídricos
Série temporal
Teste de tendência.
Recursos hídricos
Series de tiempo
Prueba de tendencia.
Water resources
Time series
Trend Test.
description Time series, also called historical or chronological series, are sets of observations collected in an orderly manner over time. Studies of meteorological variables, such as flow, have been increasingly disseminated due to extreme events of climate change. The present work applied the time series methodology to the flow data of the city of Cuiabá (MT) in the period from 1933 to 2016, having Software R as its main tool, in a simple way, describing how alternative we can analyze time series using the free software R, this article aimed to search for Trend verification, using the Mann-Kendall test. In this context, to achieve this objective, the methodology used was quantitative research based on case study. It was concluded that the use of the Mann-Kendall non-parametric test in Free Software R satisfied the research interest, fulfilling the execution of the methodology stages.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-04
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/6560
10.33448/rsd-v9i9.6560
url https://rsdjournal.org/index.php/rsd/article/view/6560
identifier_str_mv 10.33448/rsd-v9i9.6560
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/6560/6922
dc.rights.driver.fl_str_mv Copyright (c) 2020 Luis Enrique Fernandes da Silva
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Luis Enrique Fernandes da Silva
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. 9 No. 9; e712996560
Research, Society and Development; Vol. 9 Núm. 9; e712996560
Research, Society and Development; v. 9 n. 9; e712996560
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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