Temporal Trend and Estimation of the Hydrological Risk of Maximum Rainfall and Flow Extremes in the City of Rio Branco, Acre, Brazil

Detalhes bibliográficos
Autor(a) principal: Oliveira,Adriana Valente de
Data de Publicação: 2021
Outros Autores: Serrano,Rodrigo Otávio Peréa, Mesquita,Anderson Azevedo, Moreira,José Genivaldo do Vale
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Brasileira de Meteorologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862021000500749
Resumo: Abstract Extreme hydrological events have gained notoriety in recent decades, thus recommended elements of decision-making assistance are important. In this context, this study focused on analyzing the temporal behavior of the maximum rainfall and waterflow recorded in the city of Rio Branco, Acre (Brazil), in addition to analyzing their frequencies, highlighting the reference quantiles and their reported probabilities of recurrence. The results pointed to a linearly upward trend, both for flow and rainfall, but these differences were not statistically significant according to the Mann-Kendall and Spearman Rho tests (α = 5%), leading to the conclusion for the occurrence of changes in hydrological patterns in Rio Branco, although statistically non-significant. However, it is warned to the precocity of attributing the main cause of such changes to either anthropic or natural actions. Regarding frequency analysis, it was found that Gumbel distribution is proper to the adjustment of the studied data, thus, it is possible to determine the lifetime associated with hydrological risk and the useful lifespan of a project aiming at planning actions in the face of the impacts of extreme events, especially in a scenario of severe floods.
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spelling Temporal Trend and Estimation of the Hydrological Risk of Maximum Rainfall and Flow Extremes in the City of Rio Branco, Acre, BrazilTime trendshydrological variableshydrological riskState of Acre (Brazil)Abstract Extreme hydrological events have gained notoriety in recent decades, thus recommended elements of decision-making assistance are important. In this context, this study focused on analyzing the temporal behavior of the maximum rainfall and waterflow recorded in the city of Rio Branco, Acre (Brazil), in addition to analyzing their frequencies, highlighting the reference quantiles and their reported probabilities of recurrence. The results pointed to a linearly upward trend, both for flow and rainfall, but these differences were not statistically significant according to the Mann-Kendall and Spearman Rho tests (α = 5%), leading to the conclusion for the occurrence of changes in hydrological patterns in Rio Branco, although statistically non-significant. However, it is warned to the precocity of attributing the main cause of such changes to either anthropic or natural actions. Regarding frequency analysis, it was found that Gumbel distribution is proper to the adjustment of the studied data, thus, it is possible to determine the lifetime associated with hydrological risk and the useful lifespan of a project aiming at planning actions in the face of the impacts of extreme events, especially in a scenario of severe floods.Sociedade Brasileira de Meteorologia2021-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862021000500749Revista Brasileira de Meteorologia v.36 n.4 2021reponame:Revista Brasileira de Meteorologia (Online)instname:Sociedade Brasileira de Meteorologia (SBMET)instacron:SBMET10.1590/0102-7786360050info:eu-repo/semantics/openAccessOliveira,Adriana Valente deSerrano,Rodrigo Otávio PeréaMesquita,Anderson AzevedoMoreira,José Genivaldo do Valeeng2022-02-04T00:00:00Zoai:scielo:S0102-77862021000500749Revistahttp://www.rbmet.org.br/port/index.phpONGhttps://old.scielo.br/oai/scielo-oai.php||rbmet@rbmet.org.br1982-43510102-7786opendoar:2022-02-04T00:00Revista Brasileira de Meteorologia (Online) - Sociedade Brasileira de Meteorologia (SBMET)false
dc.title.none.fl_str_mv Temporal Trend and Estimation of the Hydrological Risk of Maximum Rainfall and Flow Extremes in the City of Rio Branco, Acre, Brazil
title Temporal Trend and Estimation of the Hydrological Risk of Maximum Rainfall and Flow Extremes in the City of Rio Branco, Acre, Brazil
spellingShingle Temporal Trend and Estimation of the Hydrological Risk of Maximum Rainfall and Flow Extremes in the City of Rio Branco, Acre, Brazil
Oliveira,Adriana Valente de
Time trends
hydrological variables
hydrological risk
State of Acre (Brazil)
title_short Temporal Trend and Estimation of the Hydrological Risk of Maximum Rainfall and Flow Extremes in the City of Rio Branco, Acre, Brazil
title_full Temporal Trend and Estimation of the Hydrological Risk of Maximum Rainfall and Flow Extremes in the City of Rio Branco, Acre, Brazil
title_fullStr Temporal Trend and Estimation of the Hydrological Risk of Maximum Rainfall and Flow Extremes in the City of Rio Branco, Acre, Brazil
title_full_unstemmed Temporal Trend and Estimation of the Hydrological Risk of Maximum Rainfall and Flow Extremes in the City of Rio Branco, Acre, Brazil
title_sort Temporal Trend and Estimation of the Hydrological Risk of Maximum Rainfall and Flow Extremes in the City of Rio Branco, Acre, Brazil
author Oliveira,Adriana Valente de
author_facet Oliveira,Adriana Valente de
Serrano,Rodrigo Otávio Peréa
Mesquita,Anderson Azevedo
Moreira,José Genivaldo do Vale
author_role author
author2 Serrano,Rodrigo Otávio Peréa
Mesquita,Anderson Azevedo
Moreira,José Genivaldo do Vale
author2_role author
author
author
dc.contributor.author.fl_str_mv Oliveira,Adriana Valente de
Serrano,Rodrigo Otávio Peréa
Mesquita,Anderson Azevedo
Moreira,José Genivaldo do Vale
dc.subject.por.fl_str_mv Time trends
hydrological variables
hydrological risk
State of Acre (Brazil)
topic Time trends
hydrological variables
hydrological risk
State of Acre (Brazil)
description Abstract Extreme hydrological events have gained notoriety in recent decades, thus recommended elements of decision-making assistance are important. In this context, this study focused on analyzing the temporal behavior of the maximum rainfall and waterflow recorded in the city of Rio Branco, Acre (Brazil), in addition to analyzing their frequencies, highlighting the reference quantiles and their reported probabilities of recurrence. The results pointed to a linearly upward trend, both for flow and rainfall, but these differences were not statistically significant according to the Mann-Kendall and Spearman Rho tests (α = 5%), leading to the conclusion for the occurrence of changes in hydrological patterns in Rio Branco, although statistically non-significant. However, it is warned to the precocity of attributing the main cause of such changes to either anthropic or natural actions. Regarding frequency analysis, it was found that Gumbel distribution is proper to the adjustment of the studied data, thus, it is possible to determine the lifetime associated with hydrological risk and the useful lifespan of a project aiming at planning actions in the face of the impacts of extreme events, especially in a scenario of severe floods.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862021000500749
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-77862021000500749
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0102-7786360050
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
publisher.none.fl_str_mv Sociedade Brasileira de Meteorologia
dc.source.none.fl_str_mv Revista Brasileira de Meteorologia v.36 n.4 2021
reponame:Revista Brasileira de Meteorologia (Online)
instname:Sociedade Brasileira de Meteorologia (SBMET)
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instname_str Sociedade Brasileira de Meteorologia (SBMET)
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