Impact of climate projections on Intensity-Duration-Frequency relationships of heavy rainfall in Pelotas/RS
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Publication Date: | 2023 |
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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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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 |
_version_ |
1832009313084768256 |