Complexity analysis of monthly precipitation in the state of Pernambuco using Sample Entropy
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Data de Publicação: | 2020 |
Outros Autores: | , , |
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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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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1797052657632804864 |