Mann-Kendall test application for trend detection in the Cuiabá River-MT
Autor(a) principal: | |
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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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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 |
_version_ |
1797052655214788608 |