Daily Rainfall Disaggregation to Estimate the Intensity-Duration-Frequency Relationship in Minas Gerais State, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Brazilian Archives of Biology and Technology |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100619 |
Resumo: | Abstract Sub-daily resolution rain gauge data (pluviographic records) should be used to define extreme rainfall intensity-frequency-duration curves. However, there is a lack of these records for many countries, which leads to the application of rainfall disaggregation models that transforms maximum daily rainfall data into sub-daily depths. The agreement between the intensity-duration-frequency curves obtained with disaggregation models and using sub-daily rainfall data is necessary to support the disaggregation method's applicability. The daily rainfall disaggregation method using disaggregation coefficients is the most used in Brazil, despite the lack of performance evaluation. The linear regression and model identity test was used to compare the intensity of rainfall obtained with different methodologies to obtain intensity-duration-frequency curves in 116 rain gauges in Minas Gerais, Brazil. There is a significant difference between the maximum rainfall intensity (im) obtained from pluviographic records and those estimated by the daily rainfall disaggregation. Nevertheless, comparing the im estimated by the daily rainfall disaggregation methods and the im obtained by sub-daily rainfall data, good precision and accuracy are observed, especially using specific disaggregation coefficients. The disaggregation IDF relationships had an underestimation tendency of im, especially in larger return periods, which can be considered less harmful since the larger return periods are associated with higher safety projects. The practical result of this paper was the possibility of a simple and effective methodology to disaggregate the daily into a sub-daily resolution rainfall. |
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Daily Rainfall Disaggregation to Estimate the Intensity-Duration-Frequency Relationship in Minas Gerais State, Brazilannual maximum daily rainfallintense rainfallsoil and water managementsub-daily rainfallAbstract Sub-daily resolution rain gauge data (pluviographic records) should be used to define extreme rainfall intensity-frequency-duration curves. However, there is a lack of these records for many countries, which leads to the application of rainfall disaggregation models that transforms maximum daily rainfall data into sub-daily depths. The agreement between the intensity-duration-frequency curves obtained with disaggregation models and using sub-daily rainfall data is necessary to support the disaggregation method's applicability. The daily rainfall disaggregation method using disaggregation coefficients is the most used in Brazil, despite the lack of performance evaluation. The linear regression and model identity test was used to compare the intensity of rainfall obtained with different methodologies to obtain intensity-duration-frequency curves in 116 rain gauges in Minas Gerais, Brazil. There is a significant difference between the maximum rainfall intensity (im) obtained from pluviographic records and those estimated by the daily rainfall disaggregation. Nevertheless, comparing the im estimated by the daily rainfall disaggregation methods and the im obtained by sub-daily rainfall data, good precision and accuracy are observed, especially using specific disaggregation coefficients. The disaggregation IDF relationships had an underestimation tendency of im, especially in larger return periods, which can be considered less harmful since the larger return periods are associated with higher safety projects. The practical result of this paper was the possibility of a simple and effective methodology to disaggregate the daily into a sub-daily resolution rainfall.Instituto de Tecnologia do Paraná - Tecpar2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100619Brazilian Archives of Biology and Technology v.65 2022reponame:Brazilian Archives of Biology and Technologyinstname:Instituto de Tecnologia do Paraná (Tecpar)instacron:TECPAR10.1590/1678-4324-2022210694info:eu-repo/semantics/openAccessAbreu,Marcel CarvalhoCecílio,Roberto AvelinoPruski,Fernando FalcoAlmeida,Laura Thebit deSantos,Gérson Rodrigues dosZanetti,Sidney SaraPereira,Silvio BuenoSilva,Demetrius David daeng2022-08-18T00:00:00Zoai:scielo:S1516-89132022000100619Revistahttps://www.scielo.br/j/babt/https://old.scielo.br/oai/scielo-oai.phpbabt@tecpar.br||babt@tecpar.br1678-43241516-8913opendoar:2022-08-18T00:00Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar)false |
dc.title.none.fl_str_mv |
Daily Rainfall Disaggregation to Estimate the Intensity-Duration-Frequency Relationship in Minas Gerais State, Brazil |
title |
Daily Rainfall Disaggregation to Estimate the Intensity-Duration-Frequency Relationship in Minas Gerais State, Brazil |
spellingShingle |
Daily Rainfall Disaggregation to Estimate the Intensity-Duration-Frequency Relationship in Minas Gerais State, Brazil Abreu,Marcel Carvalho annual maximum daily rainfall intense rainfall soil and water management sub-daily rainfall |
title_short |
Daily Rainfall Disaggregation to Estimate the Intensity-Duration-Frequency Relationship in Minas Gerais State, Brazil |
title_full |
Daily Rainfall Disaggregation to Estimate the Intensity-Duration-Frequency Relationship in Minas Gerais State, Brazil |
title_fullStr |
Daily Rainfall Disaggregation to Estimate the Intensity-Duration-Frequency Relationship in Minas Gerais State, Brazil |
title_full_unstemmed |
Daily Rainfall Disaggregation to Estimate the Intensity-Duration-Frequency Relationship in Minas Gerais State, Brazil |
title_sort |
Daily Rainfall Disaggregation to Estimate the Intensity-Duration-Frequency Relationship in Minas Gerais State, Brazil |
author |
Abreu,Marcel Carvalho |
author_facet |
Abreu,Marcel Carvalho Cecílio,Roberto Avelino Pruski,Fernando Falco Almeida,Laura Thebit de Santos,Gérson Rodrigues dos Zanetti,Sidney Sara Pereira,Silvio Bueno Silva,Demetrius David da |
author_role |
author |
author2 |
Cecílio,Roberto Avelino Pruski,Fernando Falco Almeida,Laura Thebit de Santos,Gérson Rodrigues dos Zanetti,Sidney Sara Pereira,Silvio Bueno Silva,Demetrius David da |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Abreu,Marcel Carvalho Cecílio,Roberto Avelino Pruski,Fernando Falco Almeida,Laura Thebit de Santos,Gérson Rodrigues dos Zanetti,Sidney Sara Pereira,Silvio Bueno Silva,Demetrius David da |
dc.subject.por.fl_str_mv |
annual maximum daily rainfall intense rainfall soil and water management sub-daily rainfall |
topic |
annual maximum daily rainfall intense rainfall soil and water management sub-daily rainfall |
description |
Abstract Sub-daily resolution rain gauge data (pluviographic records) should be used to define extreme rainfall intensity-frequency-duration curves. However, there is a lack of these records for many countries, which leads to the application of rainfall disaggregation models that transforms maximum daily rainfall data into sub-daily depths. The agreement between the intensity-duration-frequency curves obtained with disaggregation models and using sub-daily rainfall data is necessary to support the disaggregation method's applicability. The daily rainfall disaggregation method using disaggregation coefficients is the most used in Brazil, despite the lack of performance evaluation. The linear regression and model identity test was used to compare the intensity of rainfall obtained with different methodologies to obtain intensity-duration-frequency curves in 116 rain gauges in Minas Gerais, Brazil. There is a significant difference between the maximum rainfall intensity (im) obtained from pluviographic records and those estimated by the daily rainfall disaggregation. Nevertheless, comparing the im estimated by the daily rainfall disaggregation methods and the im obtained by sub-daily rainfall data, good precision and accuracy are observed, especially using specific disaggregation coefficients. The disaggregation IDF relationships had an underestimation tendency of im, especially in larger return periods, which can be considered less harmful since the larger return periods are associated with higher safety projects. The practical result of this paper was the possibility of a simple and effective methodology to disaggregate the daily into a sub-daily resolution rainfall. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
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=S1516-89132022000100619 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1516-89132022000100619 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1678-4324-2022210694 |
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 |
Instituto de Tecnologia do Paraná - Tecpar |
publisher.none.fl_str_mv |
Instituto de Tecnologia do Paraná - Tecpar |
dc.source.none.fl_str_mv |
Brazilian Archives of Biology and Technology v.65 2022 reponame:Brazilian Archives of Biology and Technology instname:Instituto de Tecnologia do Paraná (Tecpar) instacron:TECPAR |
instname_str |
Instituto de Tecnologia do Paraná (Tecpar) |
instacron_str |
TECPAR |
institution |
TECPAR |
reponame_str |
Brazilian Archives of Biology and Technology |
collection |
Brazilian Archives of Biology and Technology |
repository.name.fl_str_mv |
Brazilian Archives of Biology and Technology - Instituto de Tecnologia do Paraná (Tecpar) |
repository.mail.fl_str_mv |
babt@tecpar.br||babt@tecpar.br |
_version_ |
1750318281682583552 |