Trend analysis in standardized precipitation index in Recife–PE
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/17458 |
Resumo: | The hydrological cycle, affected by climate change caused by the process of development and industrialization, has received great attention from the scientific community around the world, and with this, many studies have been carried out to show that changes in precipitation are becoming evident on a scale global. In addition, extreme events such as prolonged droughts, floods and landslides have caused social and environmental impacts in large urban areas, with flooding in highly waterproof surfaces being the most frequent ones, due to insufficient infrastructure in drainage systems. Therefore, this work aimed to analyze the trend in time series of the Standardized Precipitation Index (SPI) for the time scales of 1, 3, 6, 12, 24 and 48 months, using the Mann-Kendall test at the level 5% significance level. For this purpose, monthly precipitation data from the conventional meteorological station Recife (Curado), located in the state of Pernambuco, Brazil, between the period 1962 to 2019 were used. The results showed that for the time scales of 1 and 3 months there is no significant temporal trend, while significant negative trends were obtained for the other scales, which indicated an increase in drought severity. In relation to the frequencies of occurrences, an increase in the occurrence of dry periods is observed for long-term conditions (SPI-12, SPI-24 and SPI-48) and for wet periods an increase was observed only in the moderately humid category. |
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Trend analysis in standardized precipitation index in Recife–PEAnálisis de tendencias del índice de precipitación estandarizado en Recife–PEAnálise de tendência do índice de precipitação padronizado em Recife–PEMann-KendallAnálise de TendênciasÍndice de precipitação padronizado.Mann-KendallAnálisis de tendenciaÍndice de precipitación estandarizado.Mann-KendallTrend AnalysisStandardized precipitation index.The hydrological cycle, affected by climate change caused by the process of development and industrialization, has received great attention from the scientific community around the world, and with this, many studies have been carried out to show that changes in precipitation are becoming evident on a scale global. In addition, extreme events such as prolonged droughts, floods and landslides have caused social and environmental impacts in large urban areas, with flooding in highly waterproof surfaces being the most frequent ones, due to insufficient infrastructure in drainage systems. Therefore, this work aimed to analyze the trend in time series of the Standardized Precipitation Index (SPI) for the time scales of 1, 3, 6, 12, 24 and 48 months, using the Mann-Kendall test at the level 5% significance level. For this purpose, monthly precipitation data from the conventional meteorological station Recife (Curado), located in the state of Pernambuco, Brazil, between the period 1962 to 2019 were used. The results showed that for the time scales of 1 and 3 months there is no significant temporal trend, while significant negative trends were obtained for the other scales, which indicated an increase in drought severity. In relation to the frequencies of occurrences, an increase in the occurrence of dry periods is observed for long-term conditions (SPI-12, SPI-24 and SPI-48) and for wet periods an increase was observed only in the moderately humid category.El ciclo hidrológico, afectado por el cambio climático provocado por el proceso de desarrollo e industrialización, ha recibido una gran atención por parte de la comunidad científica de todo el mundo, y con ello se han realizado numerosos estudios que demuestran que los cambios en las precipitaciones se están haciendo evidentes en escala. global. Además, eventos extremos como sequías prolongadas, inundaciones y deslizamientos de tierra han causado impactos sociales y ambientales en grandes áreas urbanas, siendo las inundaciones en superficies altamente impermeables las más frecuentes, debido a la insuficiente infraestructura en los sistemas de drenaje. Por tanto, este trabajo tuvo como objetivo analizar la tendencia en series de tiempo del Índice de Precipitación Estandarizado (SPI) para las escalas de tiempo de 1, 3, 6, 12, 24 y 48 meses, utilizando la prueba de Mann-Kendall al nivel de significancia del 5%. nivel. Para ello, se utilizaron datos de precipitación mensual de la estación meteorológica convencional Recife (Curado), ubicada en el estado de Pernambuco, Brasil, entre el período 1962 a 2019. Los resultados mostraron que para las escalas de tiempo de 1 y 3 meses hay ninguna tendencia temporal significativa, mientras que se obtuvieron tendencias negativas significativas para las otras escalas, lo que indica un aumento en la severidad de la sequía. En cuanto a la frecuencia de ocurrencias, se observa un aumento en la ocurrencia de períodos secos para condiciones de largo plazo (SPI-12, SPI-24 y SPI-48) y para períodos húmedos se observó un aumento solo en la categoría moderadamente húmeda.O ciclo hidrológico, afetado por mudanças climáticas ocasionadas pelo processo de desenvolvimento e industrialização, tem recebido grande atenção da comunidade científica em todo o mundo, e com isso, muitos estudos foram realizados para mostrar que as mudanças na precipitação estão tornando-se evidentes em escala global. Além disso, os eventos extremos como estiagens prolongadas, inundações e deslizamentos têm causado impactos socioambientais nas grandes áreas urbanas, sendo os alagamentos em superfícies de alta impermeabilização os mais frequentes, devido a deficiência de infraestrutura nos sistemas de drenagem. Por conseguinte, neste trabalho objetivou-se analisar a tendência em séries temporais de Índice de Precipitação Padronizado (SPI) para as escalas de tempo de 1, 3, 6, 12, 24 e 48 meses, utilizando o teste de Mann-Kendall ao nível de significância de 5%. Para tanto, foram utilizados dados de precipitação mensal da estação meteorológica convencional Recife (Curado), localizada no estado de Pernambuco, Brasil, entre o período de 1962 a 2019. Os resultados apontaram que para as escalas de tempo de 1 e 3 meses não há tendência temporal significativa, enquanto tendências negativas significativas foram obtidas para as demais escalas, o que indicou aumento da severidade de seca. Em relação às frequências de ocorrências, é observado um aumento na ocorrência de períodos secos para condições de longo prazo (SPI-12, SPI-24 e SPI-48) e para os períodos úmidos foi observado aumento apenas na categoria moderadamente úmido.Research, Society and Development2021-07-17info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1745810.33448/rsd-v10i8.17458Research, Society and Development; Vol. 10 No. 8; e52310817458Research, Society and Development; Vol. 10 Núm. 8; e52310817458Research, Society and Development; v. 10 n. 8; e523108174582525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/17458/15774Copyright (c) 2021 Vaniele da Silva Barros; Vanessa Karoline Inacio Gomes; Ivanildo Batista da Silva Júnior; Anderson Spinelli Valdevino da Silva; Antonio Samuel Alves da Silva; Lucian Bogdan Bejan; Tatijana Stosic https://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessBarros, Vaniele da SilvaGomes, Vanessa Karoline Inacio Silva Júnior, Ivanildo Batista da Silva, Anderson Spinelli Valdevino da Silva, Antonio Samuel Alves da Bejan, Lucian Bogdan Stosic , Tatijana 2021-08-21T18:46:59Zoai:ojs.pkp.sfu.ca:article/17458Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:37:47.309907Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Trend analysis in standardized precipitation index in Recife–PE Análisis de tendencias del índice de precipitación estandarizado en Recife–PE Análise de tendência do índice de precipitação padronizado em Recife–PE |
title |
Trend analysis in standardized precipitation index in Recife–PE |
spellingShingle |
Trend analysis in standardized precipitation index in Recife–PE Barros, Vaniele da Silva Mann-Kendall Análise de Tendências Índice de precipitação padronizado. Mann-Kendall Análisis de tendencia Índice de precipitación estandarizado. Mann-Kendall Trend Analysis Standardized precipitation index. |
title_short |
Trend analysis in standardized precipitation index in Recife–PE |
title_full |
Trend analysis in standardized precipitation index in Recife–PE |
title_fullStr |
Trend analysis in standardized precipitation index in Recife–PE |
title_full_unstemmed |
Trend analysis in standardized precipitation index in Recife–PE |
title_sort |
Trend analysis in standardized precipitation index in Recife–PE |
author |
Barros, Vaniele da Silva |
author_facet |
Barros, Vaniele da Silva Gomes, Vanessa Karoline Inacio Silva Júnior, Ivanildo Batista da Silva, Anderson Spinelli Valdevino da Silva, Antonio Samuel Alves da Bejan, Lucian Bogdan Stosic , Tatijana |
author_role |
author |
author2 |
Gomes, Vanessa Karoline Inacio Silva Júnior, Ivanildo Batista da Silva, Anderson Spinelli Valdevino da Silva, Antonio Samuel Alves da Bejan, Lucian Bogdan Stosic , Tatijana |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Barros, Vaniele da Silva Gomes, Vanessa Karoline Inacio Silva Júnior, Ivanildo Batista da Silva, Anderson Spinelli Valdevino da Silva, Antonio Samuel Alves da Bejan, Lucian Bogdan Stosic , Tatijana |
dc.subject.por.fl_str_mv |
Mann-Kendall Análise de Tendências Índice de precipitação padronizado. Mann-Kendall Análisis de tendencia Índice de precipitación estandarizado. Mann-Kendall Trend Analysis Standardized precipitation index. |
topic |
Mann-Kendall Análise de Tendências Índice de precipitação padronizado. Mann-Kendall Análisis de tendencia Índice de precipitación estandarizado. Mann-Kendall Trend Analysis Standardized precipitation index. |
description |
The hydrological cycle, affected by climate change caused by the process of development and industrialization, has received great attention from the scientific community around the world, and with this, many studies have been carried out to show that changes in precipitation are becoming evident on a scale global. In addition, extreme events such as prolonged droughts, floods and landslides have caused social and environmental impacts in large urban areas, with flooding in highly waterproof surfaces being the most frequent ones, due to insufficient infrastructure in drainage systems. Therefore, this work aimed to analyze the trend in time series of the Standardized Precipitation Index (SPI) for the time scales of 1, 3, 6, 12, 24 and 48 months, using the Mann-Kendall test at the level 5% significance level. For this purpose, monthly precipitation data from the conventional meteorological station Recife (Curado), located in the state of Pernambuco, Brazil, between the period 1962 to 2019 were used. The results showed that for the time scales of 1 and 3 months there is no significant temporal trend, while significant negative trends were obtained for the other scales, which indicated an increase in drought severity. In relation to the frequencies of occurrences, an increase in the occurrence of dry periods is observed for long-term conditions (SPI-12, SPI-24 and SPI-48) and for wet periods an increase was observed only in the moderately humid category. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-07-17 |
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/17458 10.33448/rsd-v10i8.17458 |
url |
https://rsdjournal.org/index.php/rsd/article/view/17458 |
identifier_str_mv |
10.33448/rsd-v10i8.17458 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/17458/15774 |
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. 10 No. 8; e52310817458 Research, Society and Development; Vol. 10 Núm. 8; e52310817458 Research, Society and Development; v. 10 n. 8; e52310817458 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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1797052682448404480 |