Impact of climate projections on Intensity-Duration-Frequency relationships of heavy rainfall in Pelotas/RS

Bibliographic Details
Main Author: Oliveira, Eduardo Peixoto de
Publication Date: 2023
Other Authors: Beskow, Tamara Leitzke Caldeira, Rodrigues, Aryane Araújo, Nunes, André Becker, Siqueira, Tirzah Moreira, Beskow, Samuel, Guedes, Hugo Alexandre Soares
Format: Article
Language: por
Source: Revista Brasileira de Climatologia (Online)
Download full: https://ojs.ufgd.edu.br/rbclima/article/view/16691
Summary: One of climate changes (CC) main impacts are the projected increases in intensity and frequency of occurence of extreme hidrologyc events. Currently, the characterization of intense precipitaion patterns is given by the Intensity-Duration-Frequency (IDF) relation using observed data, however, in order to develop resilient infrastructure and reduce the risk of hydraulic structures’ failure in the future the use of climate projections is strategic in order to adress adaptation and mitigation measures on a local scale. It is presented a methodology for the adjustment of IDF curves for Pelotas/RS through the platform Genetic Algorithm Methodology for IDF (GAM-IDF) in order to compare the expected changes for events with 5 and 100 years of Return Period (RP) under the perspective of CC. Future projections for maximum anual precipitaion in 1 day generated by 4 global climate models downscaled by the regional climate model Eta under two Representative concentration pathways – RCP 4.5 and 8.5 until the end of the century (2006-2099) as well as daily pretipitation observed data (1966-2005) representative of the present are analysed. An increase in precipitation intensity is suggested on both RPs studied, specially on scenario RCP 4.5 and events of shorter duration, projecting averege increments of 11.5% and 25,6% for events with RP of 5 and 100 years, respectivelly, which may suggest an overload or even failure of future hydraulic structures that do not take CC into account during its design.
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spelling Impact of climate projections on Intensity-Duration-Frequency relationships of heavy rainfall in Pelotas/RSImpacto de las proyecciones climáticas en las relaciones Intensidad-Duración-Frecuencia de lluvias intensas en Pelotas/RSImpacto das projeções climáticas nas relações Intensidade-Duração-Frequência de chuvas intensas em Pelotas/RSCambios climáticosEventos hidrológicos extremosLluvia de diseñoCaudal de diseñoIngeniería hidrológicaClimate changesExtreme hydrological eventsDesign rainfallDesign streamflowHydrological engineeringMudanças climáticasEventos hidrológicos extremosChuva de projetoVazão de projetoEngenharia hidrológicaOne of climate changes (CC) main impacts are the projected increases in intensity and frequency of occurence of extreme hidrologyc events. Currently, the characterization of intense precipitaion patterns is given by the Intensity-Duration-Frequency (IDF) relation using observed data, however, in order to develop resilient infrastructure and reduce the risk of hydraulic structures’ failure in the future the use of climate projections is strategic in order to adress adaptation and mitigation measures on a local scale. It is presented a methodology for the adjustment of IDF curves for Pelotas/RS through the platform Genetic Algorithm Methodology for IDF (GAM-IDF) in order to compare the expected changes for events with 5 and 100 years of Return Period (RP) under the perspective of CC. Future projections for maximum anual precipitaion in 1 day generated by 4 global climate models downscaled by the regional climate model Eta under two Representative concentration pathways – RCP 4.5 and 8.5 until the end of the century (2006-2099) as well as daily pretipitation observed data (1966-2005) representative of the present are analysed. An increase in precipitation intensity is suggested on both RPs studied, specially on scenario RCP 4.5 and events of shorter duration, projecting averege increments of 11.5% and 25,6% for events with RP of 5 and 100 years, respectivelly, which may suggest an overload or even failure of future hydraulic structures that do not take CC into account during its design.Uno de los principales impactos del Cambio Climático (CC) son los cambios proyectados en intensidad y frecuencia de ocurrencia de eventos hidrológicos extremos. La caracterización del régimen de lluvias intensas de un lugar se realiza através de la relación Intensidad-Duración-Frecuencia (IDF) utilizando series de datos observados, sin embargo, para desarrollar infraestructuras resilientes y reducir el riesgo de falla de estructuras hidráulicas en el futuro se vuelve estratégico utilizar las proyecciones climáticas en el diseño de medidas de adaptación y mitigación a escala local. Se presenta una metodología para el ajuste de curvas IDF en la ciudad de Pelotas/RS utilizando la plataforma Genetic Algorithm Methodology for IDF (GAM-IDF) para comparar los cambios esperados para eventos con Tiempo de Retorno (TR) de 5 y 100 años bajo la perspectiva de CC. Las proyecciones futuras de precipitación máxima anual en 1 día generadas hasta finales de siglo (2006-2099) fueron evaluadas por 4 Modelos de Circulación Global regionalizados por el Modelo de Circulación Regional Eta bajo los escenarios Representative concentration pathways - RCP 4.5 y 8.5 así como datos observados de precipitación (1966-2005) representativas del actual régimen de precipitaciones intensas. En los dos TR estudiados se sugieren incrementos en los valores de intensidad, especialmente en el RCP 4.5 y eventos de menor duración, proyectándose incrementos promedio de 11.5% y 25.6% para eventos con TR de 5 años y 100 años, respectivamente, pudiendo significar en el futuro la sobrecarga o fallo de estructuras hidráulicas que no tengan en cuenta el CC en su concepción.Um dos principais impactos das mudanças climáticas (MC) são as alterações projetadas da intensidade e frequência de ocorrência de eventos hidrológicos extremos. Atualmente a caracterização do regime de precipitações intensas de um local se dá através da relação Intensidade-Duração-Frequência (IDF) utilizando de séries de dados observados, porém, a fim de desenvolver infraestruturas resilientes e reduzir o risco de falha de estruturas hidráulicas no futuro torna-se estratégica a utilização de projeções climáticas na concepção de medidas de adaptação e mitigação em escala local. É apresentada metodologia para o ajuste de curvas IDF no município de Pelotas/RS utilizando a plataforma Genetic Algorithm Methodology for IDF (GAM-IDF) a fim de comparar as alterações esperadas para eventos com Tempo de Retorno (TR) de 5 e 100 anos sob a ótica das MC. Foram avaliadas projeções futuras de máxima precipitação anual em 1 dia geradas até o fim do século (2006-2099) por 4 modelos de circulação global regionalizados pelo modelo de circulação regional Eta sob os cenários Representative Concentration Pathways- RCP 4.5 e 8.5 assim como dados diários observados de precipitação (1966-2005) representativos do regime atual de precipitações intensas. Em ambos os TRs estudados são sugeridos aumentos nos valores de intensidade de precipitação, especialmente no cenário RCP 4.5 e eventos de menor duração, projetando acréscimos médios de 11,5% e 25,6% para eventos com TR de 5 anos e 100 anos, respectivamente, podendo significar no futuro a sobrecarga ou até falha de estruturas hidráulicas que não levem em consideração as MC no seu dimensionamento.Universidade Federal da Grande Dourados2023-12-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigo avaliado pelos Paresapplication/pdfhttps://ojs.ufgd.edu.br/rbclima/article/view/1669110.55761/abclima.v33i19.16691Brazilian Journal of Climatology; Vol. 33 (2023); 604 - 630Revista Brasileña de Climatología; Vol. 33 (2023); 604 - 630Journal Brésilien de Climatologie ; Vol. 33 (2023); 604 - 630Revista Brasileira de Climatologia; v. 33 (2023); 604 - 6302237-86422237-864210.55761/abclima.v33i19reponame:Revista Brasileira de Climatologia (Online)instname:ABClimainstacron:ABCLIMAporhttps://ojs.ufgd.edu.br/rbclima/article/view/16691/9899Copyright (c) 2023 Eduardo Peixoto de Oliveira, Tamara Leitzke Caldeira Beskow, Aryane Araújo Rodrigues, André Becker Nunes, Tirzah Moreira Siqueira, Samuel Beskow, Hugo Alexandre Soares Guedesinfo:eu-repo/semantics/openAccessOliveira, Eduardo Peixoto deBeskow, Tamara Leitzke CaldeiraRodrigues, Aryane AraújoNunes, André BeckerSiqueira, Tirzah MoreiraBeskow, SamuelGuedes, Hugo Alexandre Soares2024-04-18T14:40:46Zoai:ojs.pkp.sfu.ca:article/16691Revistahttps://revistas.ufpr.br/revistaabclima/indexPUBhttps://revistas.ufpr.br/revistaabclima/oaiegalvani@usp.br || rbclima2014@gmail.com2237-86421980-055Xopendoar:2024-04-18T14:40:46Revista Brasileira de Climatologia (Online) - ABClimafalse
dc.title.none.fl_str_mv Impact of climate projections on Intensity-Duration-Frequency relationships of heavy rainfall in Pelotas/RS
Impacto de las proyecciones climáticas en las relaciones Intensidad-Duración-Frecuencia de lluvias intensas en Pelotas/RS
Impacto das projeções climáticas nas relações Intensidade-Duração-Frequência de chuvas intensas em Pelotas/RS
title Impact of climate projections on Intensity-Duration-Frequency relationships of heavy rainfall in Pelotas/RS
spellingShingle Impact of climate projections on Intensity-Duration-Frequency relationships of heavy rainfall in Pelotas/RS
Oliveira, Eduardo Peixoto de
Cambios climáticos
Eventos hidrológicos extremos
Lluvia de diseño
Caudal de diseño
Ingeniería hidrológica
Climate changes
Extreme hydrological events
Design rainfall
Design streamflow
Hydrological engineering
Mudanças climáticas
Eventos hidrológicos extremos
Chuva de projeto
Vazão de projeto
Engenharia hidrológica
title_short Impact of climate projections on Intensity-Duration-Frequency relationships of heavy rainfall in Pelotas/RS
title_full Impact of climate projections on Intensity-Duration-Frequency relationships of heavy rainfall in Pelotas/RS
title_fullStr Impact of climate projections on Intensity-Duration-Frequency relationships of heavy rainfall in Pelotas/RS
title_full_unstemmed Impact of climate projections on Intensity-Duration-Frequency relationships of heavy rainfall in Pelotas/RS
title_sort Impact of climate projections on Intensity-Duration-Frequency relationships of heavy rainfall in Pelotas/RS
author Oliveira, Eduardo Peixoto de
author_facet Oliveira, Eduardo Peixoto de
Beskow, Tamara Leitzke Caldeira
Rodrigues, Aryane Araújo
Nunes, André Becker
Siqueira, Tirzah Moreira
Beskow, Samuel
Guedes, Hugo Alexandre Soares
author_role author
author2 Beskow, Tamara Leitzke Caldeira
Rodrigues, Aryane Araújo
Nunes, André Becker
Siqueira, Tirzah Moreira
Beskow, Samuel
Guedes, Hugo Alexandre Soares
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Oliveira, Eduardo Peixoto de
Beskow, Tamara Leitzke Caldeira
Rodrigues, Aryane Araújo
Nunes, André Becker
Siqueira, Tirzah Moreira
Beskow, Samuel
Guedes, Hugo Alexandre Soares
dc.subject.por.fl_str_mv Cambios climáticos
Eventos hidrológicos extremos
Lluvia de diseño
Caudal de diseño
Ingeniería hidrológica
Climate changes
Extreme hydrological events
Design rainfall
Design streamflow
Hydrological engineering
Mudanças climáticas
Eventos hidrológicos extremos
Chuva de projeto
Vazão de projeto
Engenharia hidrológica
topic Cambios climáticos
Eventos hidrológicos extremos
Lluvia de diseño
Caudal de diseño
Ingeniería hidrológica
Climate changes
Extreme hydrological events
Design rainfall
Design streamflow
Hydrological engineering
Mudanças climáticas
Eventos hidrológicos extremos
Chuva de projeto
Vazão de projeto
Engenharia hidrológica
description One of climate changes (CC) main impacts are the projected increases in intensity and frequency of occurence of extreme hidrologyc events. Currently, the characterization of intense precipitaion patterns is given by the Intensity-Duration-Frequency (IDF) relation using observed data, however, in order to develop resilient infrastructure and reduce the risk of hydraulic structures’ failure in the future the use of climate projections is strategic in order to adress adaptation and mitigation measures on a local scale. It is presented a methodology for the adjustment of IDF curves for Pelotas/RS through the platform Genetic Algorithm Methodology for IDF (GAM-IDF) in order to compare the expected changes for events with 5 and 100 years of Return Period (RP) under the perspective of CC. Future projections for maximum anual precipitaion in 1 day generated by 4 global climate models downscaled by the regional climate model Eta under two Representative concentration pathways – RCP 4.5 and 8.5 until the end of the century (2006-2099) as well as daily pretipitation observed data (1966-2005) representative of the present are analysed. An increase in precipitation intensity is suggested on both RPs studied, specially on scenario RCP 4.5 and events of shorter duration, projecting averege increments of 11.5% and 25,6% for events with RP of 5 and 100 years, respectivelly, which may suggest an overload or even failure of future hydraulic structures that do not take CC into account during its design.
publishDate 2023
dc.date.none.fl_str_mv 2023-12-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artigo avaliado pelos Pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.ufgd.edu.br/rbclima/article/view/16691
10.55761/abclima.v33i19.16691
url https://ojs.ufgd.edu.br/rbclima/article/view/16691
identifier_str_mv 10.55761/abclima.v33i19.16691
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://ojs.ufgd.edu.br/rbclima/article/view/16691/9899
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal da Grande Dourados
publisher.none.fl_str_mv Universidade Federal da Grande Dourados
dc.source.none.fl_str_mv Brazilian Journal of Climatology; Vol. 33 (2023); 604 - 630
Revista Brasileña de Climatología; Vol. 33 (2023); 604 - 630
Journal Brésilien de Climatologie ; Vol. 33 (2023); 604 - 630
Revista Brasileira de Climatologia; v. 33 (2023); 604 - 630
2237-8642
2237-8642
10.55761/abclima.v33i19
reponame:Revista Brasileira de Climatologia (Online)
instname:ABClima
instacron:ABCLIMA
instname_str ABClima
instacron_str ABCLIMA
institution ABCLIMA
reponame_str Revista Brasileira de Climatologia (Online)
collection Revista Brasileira de Climatologia (Online)
repository.name.fl_str_mv Revista Brasileira de Climatologia (Online) - ABClima
repository.mail.fl_str_mv egalvani@usp.br || rbclima2014@gmail.com
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