Complexity analysis of monthly precipitation in the state of Pernambuco using Sample Entropy

Detalhes bibliográficos
Autor(a) principal: Silva, Cleo Clayton Santos
Data de Publicação: 2020
Outros Autores: Menezes, Rômulo Simões Cezar, Stosic, Tatijana, Silva, Antonio Samuel Alves da
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/7763
Resumo: Rainfall is one of the phases of the hydrological cycle responsible for the return of the condensed water from the atmosphere to the Earth's surface. It is a natural process of utmost importance for ecosystem functioning because it regulates water availability for various uses and environmental services. The present work aims to assess the rainfall variability in Pernambuco, Brazil, using monthly precipitation data for the period from 1950 to 2012, collected from the Meteorological Laboratory of Pernambuco State (LAMEP), division of the Technological Institute of Pernambuco (ITEP). Data were analyzed using the Sample Entropy method (SampEn) developed to quantify the complexity of nonlinear time series, and interpolated by Inverse Distance Weighting (IDW) method, providing an estimate of the complexity of the rainfall in the state of Pernambuco. The results show that for all regions of Pernambuco, entropy values of monthly rainfall series are classified from moderate to low, indicating the feasibility of modeling of precipitation dynamics on a monthly scale.
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spelling Complexity analysis of monthly precipitation in the state of Pernambuco using Sample EntropyAnálisis de complejidad de la precipitación mensual en el estado de Pernambuco utilizando la Entropía de MuestraAnálise de complexidade da precipitação mensal no estado de Pernambuco utilizando o Sample EntropyCiclo hidrológicoPrecipitaciónSeries temporalesEntropía.Hydrological cycleRainfallTime seriesEntropy.Ciclo hidrológicoPrecipitaçãoSérie temporalEntropia.Rainfall is one of the phases of the hydrological cycle responsible for the return of the condensed water from the atmosphere to the Earth's surface. It is a natural process of utmost importance for ecosystem functioning because it regulates water availability for various uses and environmental services. The present work aims to assess the rainfall variability in Pernambuco, Brazil, using monthly precipitation data for the period from 1950 to 2012, collected from the Meteorological Laboratory of Pernambuco State (LAMEP), division of the Technological Institute of Pernambuco (ITEP). Data were analyzed using the Sample Entropy method (SampEn) developed to quantify the complexity of nonlinear time series, and interpolated by Inverse Distance Weighting (IDW) method, providing an estimate of the complexity of the rainfall in the state of Pernambuco. The results show that for all regions of Pernambuco, entropy values of monthly rainfall series are classified from moderate to low, indicating the feasibility of modeling of precipitation dynamics on a monthly scale.La precipitación es una de las fases del ciclo hidrológico responsable del retorno del agua condensada en la atmósfera a la superficie de la Tierra. Es un proceso natural extremadamente importante para el funcionamiento de los ecosistemas, ya que regula la disponibilidad de agua para los diversos usos y servicios ambientales. El objetivo de este trabajo es evaluar la variabilidad de las series temporales de precipitación en el estado de Pernambuco a través de datos de precipitación mensual fechados durante el período de 1950 a 2012, proporcionados por el Laboratorio de Meteorología de Pernambuco (LAMEP), un órgano perteneciente al Instituto Tecnológico de Pernambuco (ITEP) Los datos se analizaron utilizando el método de Entropía de Muestra (SampEn), desarrollado para cuantificar la complejidad en series de tiempo no lineales, y se interpolaron a través del método de ponderación de distancia inversa (IDW), proporcionando una estimación de la complejidad de la precipitación en el estado de Pernambuco. Los resultados mostraron que para todo el estado de Pernambuco, los valores de entropía de las series de precipitación mensual se clasifican de moderados a bajos, lo que indica que en toda la región, las series no son difíciles de modelar para hacer posibles predicciones de las mismas en el escala mensual.A precipitação pluviométrica é uma das etapas do ciclo hidrológico responsáveis pelo retorno das águas condensadas na atmosfera à superfície terrestre. É um processo natural de extrema importância para o funcionamento dos ecossistemas, pois regula a disponibilidade hídrica para os diversos usos e serviços ambientais. O objetivo deste trabalho é avaliar a variabilidade de séries temporais de precipitação do estado de Pernambuco através de dados mensais de precipitação coletados durante o período de 1950 a 2012, cedidos pelo Laboratório de Meteorologia de Pernambuco (LAMEP), órgão pertencente ao Instituto Tecnológico de Pernambuco (ITEP). Os dados foram analisados através do método Sample Entropy (SampEn), desenvolvido para quantificar a complexidade em séries temporais não lineares, e interpolados através do método Inverse Distance Weighting (IDW), proporcionando uma estimativa da complexidade da precipitação no estado de Pernambuco. Os resultados mostraram que para todo estado de Pernambuco, os valores de entropia das séries de precipitação mensal são classificados de moderado a baixo, indicando que ao longo de toda região, as séries não são difíceis de serem modeladas para realização de possíveis previsões da mesma na escala mensal.Research, Society and Development2020-09-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/776310.33448/rsd-v9i9.7763Research, Society and Development; Vol. 9 No. 9; e714997763Research, Society and Development; Vol. 9 Núm. 9; e714997763Research, Society and Development; v. 9 n. 9; e7149977632525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/7763/6924Copyright (c) 2020 Cleo Clayton Santos Silva; Rômulo Simões Cezar Menezes; Tatijana Stosic; Antonio Samuel Alves da Silvahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSilva, Cleo Clayton SantosMenezes, Rômulo Simões CezarStosic, TatijanaSilva, Antonio Samuel Alves da2020-09-18T01:42:11Zoai:ojs.pkp.sfu.ca:article/7763Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:30:23.442820Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Complexity analysis of monthly precipitation in the state of Pernambuco using Sample Entropy
Análisis de complejidad de la precipitación mensual en el estado de Pernambuco utilizando la Entropía de Muestra
Análise de complexidade da precipitação mensal no estado de Pernambuco utilizando o Sample Entropy
title Complexity analysis of monthly precipitation in the state of Pernambuco using Sample Entropy
spellingShingle Complexity analysis of monthly precipitation in the state of Pernambuco using Sample Entropy
Silva, Cleo Clayton Santos
Ciclo hidrológico
Precipitación
Series temporales
Entropía.
Hydrological cycle
Rainfall
Time series
Entropy.
Ciclo hidrológico
Precipitação
Série temporal
Entropia.
title_short Complexity analysis of monthly precipitation in the state of Pernambuco using Sample Entropy
title_full Complexity analysis of monthly precipitation in the state of Pernambuco using Sample Entropy
title_fullStr Complexity analysis of monthly precipitation in the state of Pernambuco using Sample Entropy
title_full_unstemmed Complexity analysis of monthly precipitation in the state of Pernambuco using Sample Entropy
title_sort Complexity analysis of monthly precipitation in the state of Pernambuco using Sample Entropy
author Silva, Cleo Clayton Santos
author_facet Silva, Cleo Clayton Santos
Menezes, Rômulo Simões Cezar
Stosic, Tatijana
Silva, Antonio Samuel Alves da
author_role author
author2 Menezes, Rômulo Simões Cezar
Stosic, Tatijana
Silva, Antonio Samuel Alves da
author2_role author
author
author
dc.contributor.author.fl_str_mv Silva, Cleo Clayton Santos
Menezes, Rômulo Simões Cezar
Stosic, Tatijana
Silva, Antonio Samuel Alves da
dc.subject.por.fl_str_mv Ciclo hidrológico
Precipitación
Series temporales
Entropía.
Hydrological cycle
Rainfall
Time series
Entropy.
Ciclo hidrológico
Precipitação
Série temporal
Entropia.
topic Ciclo hidrológico
Precipitación
Series temporales
Entropía.
Hydrological cycle
Rainfall
Time series
Entropy.
Ciclo hidrológico
Precipitação
Série temporal
Entropia.
description Rainfall is one of the phases of the hydrological cycle responsible for the return of the condensed water from the atmosphere to the Earth's surface. It is a natural process of utmost importance for ecosystem functioning because it regulates water availability for various uses and environmental services. The present work aims to assess the rainfall variability in Pernambuco, Brazil, using monthly precipitation data for the period from 1950 to 2012, collected from the Meteorological Laboratory of Pernambuco State (LAMEP), division of the Technological Institute of Pernambuco (ITEP). Data were analyzed using the Sample Entropy method (SampEn) developed to quantify the complexity of nonlinear time series, and interpolated by Inverse Distance Weighting (IDW) method, providing an estimate of the complexity of the rainfall in the state of Pernambuco. The results show that for all regions of Pernambuco, entropy values of monthly rainfall series are classified from moderate to low, indicating the feasibility of modeling of precipitation dynamics on a monthly scale.
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/7763
10.33448/rsd-v9i9.7763
url https://rsdjournal.org/index.php/rsd/article/view/7763
identifier_str_mv 10.33448/rsd-v9i9.7763
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/7763/6924
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. 9 No. 9; e714997763
Research, Society and Development; Vol. 9 Núm. 9; e714997763
Research, Society and Development; v. 9 n. 9; e714997763
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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