ESTIMATION OF PARAMETERS OF DURATION-FREQUENCY INTENSITY EQUATIONS OF INTENSE RAIN FOR THE STATE OF ALAGOAS, BRAZIL
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Engenharia na Agricultura |
Texto Completo: | https://periodicos.ufv.br/reveng/article/view/10184 |
Resumo: | The study of the characteristics of the rains is of fundamental importance, since the frequency of floods has increased in several parts of Brazil, due to anthropic impacts of climatic changes. In this sense, this study aimed to determine the parameters of the intense rainfall equation (K, a, b, c) for 52 municipalities in the state of Alagoas, through 164 pluviometric stations with data available from the National Water Agency (ANA). The data series were subjected to consistency analysis and subsequent breakdown of maximum daytime rains over 5 durations; 10; 15; 20; 25; 30; 60; 360; 480; 600; 720 and 1,440 minutes for each duration and payback period of 5; 10; 25; 50 and 100 years according to different probabilistic models. The adjustment of the parameters was performed using non-linear regression, with R² above 0.949 for all the stations studied, considering for this purpose one station per municipality in the state, totaling 51 study municipalities. It was found that the predicted maximum intensity of pluviometric precipitation increases with the increase of the return period and reduces with the increase of the duration of the rain, with greater intensities detected in the mesoregion of Eastern Alagoano and the lowest intensities in the mesoregion of Sertão Alagoano. |
id |
UFV-2_4a9f41d0bf1b6305035e0eaa32ba7daa |
---|---|
oai_identifier_str |
oai:ojs.periodicos.ufv.br:article/10184 |
network_acronym_str |
UFV-2 |
network_name_str |
Engenharia na Agricultura |
repository_id_str |
|
spelling |
ESTIMATION OF PARAMETERS OF DURATION-FREQUENCY INTENSITY EQUATIONS OF INTENSE RAIN FOR THE STATE OF ALAGOAS, BRAZILEstimate of the intensity-duration-frequency parameters of intense rainfall for the state of Alagoas, BrazilIDF equationsHydrology RainfallIDF Equations; Hydrology; Rainfall Precipitation.The study of the characteristics of the rains is of fundamental importance, since the frequency of floods has increased in several parts of Brazil, due to anthropic impacts of climatic changes. In this sense, this study aimed to determine the parameters of the intense rainfall equation (K, a, b, c) for 52 municipalities in the state of Alagoas, through 164 pluviometric stations with data available from the National Water Agency (ANA). The data series were subjected to consistency analysis and subsequent breakdown of maximum daytime rains over 5 durations; 10; 15; 20; 25; 30; 60; 360; 480; 600; 720 and 1,440 minutes for each duration and payback period of 5; 10; 25; 50 and 100 years according to different probabilistic models. The adjustment of the parameters was performed using non-linear regression, with R² above 0.949 for all the stations studied, considering for this purpose one station per municipality in the state, totaling 51 study municipalities. It was found that the predicted maximum intensity of pluviometric precipitation increases with the increase of the return period and reduces with the increase of the duration of the rain, with greater intensities detected in the mesoregion of Eastern Alagoano and the lowest intensities in the mesoregion of Sertão Alagoano.The study of the rainfall characteristics is of fundamental importance since the frequency of floods has increased in several parts of Brazil due to anthropic impacts of climatic changes. Thus, this study aimed to determine the parameters of the intense rainfall equation (K, a, b, c) for 52 municipalities in the State of Alagoas using data from 164 rain gauges ta available from the National Water Agency (ANA). The data series were subjected to consistency analysis and further desegregation of maximum daily rainfall to durations of the 5; 10; 15; 20; 25; 30; 60; 360; 480; 600; 720 and 1,440 minutes and return period of 5; 10; 25; 50 and 100 years according to different probabilistic models. The adjustment of the parameters was carried out by means of non-linear regression, with R² greater than 0.949 for all the stations, considering for this purpose one station per municipality, totaling 51 municipalities of study. It was obtained that the maximum rainfall intensity predicted increases with the increase in the return period and decreases with the increase of the duration of the rain. The greater intensities were detected in the mesoregion of Eastern Alagoano and the lowest intensities in the mesoregion of Sertão Alagoano.Universidade Federal de Viçosa - UFV2020-11-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/reveng/article/view/1018410.13083/reveng.v29i1.10184Engineering in Agriculture; Vol. 28 No. Contínua (2020); 314-325Revista Engenharia na Agricultura - REVENG; v. 28 n. Contínua (2020); 314-3252175-68131414-3984reponame:Engenharia na Agriculturainstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/reveng/article/view/10184/6141Copyright (c) 2020 REVISTA ENGENHARIA NA AGRICULTURA - REVENGhttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSilva, João Batista Lopes da Bento, Nicole LopesGomes, Gabriel Soares Lopes Campos, Alcinei Ribeiro Silva, Danilo Paulúcio da 2023-01-19T13:39:06Zoai:ojs.periodicos.ufv.br:article/10184Revistahttps://periodicos.ufv.br/revengPUBhttps://periodicos.ufv.br/reveng/oairevistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br2175-68131414-3984opendoar:2023-01-19T13:39:06Engenharia na Agricultura - Universidade Federal de Viçosa (UFV)false |
dc.title.none.fl_str_mv |
ESTIMATION OF PARAMETERS OF DURATION-FREQUENCY INTENSITY EQUATIONS OF INTENSE RAIN FOR THE STATE OF ALAGOAS, BRAZIL Estimate of the intensity-duration-frequency parameters of intense rainfall for the state of Alagoas, Brazil |
title |
ESTIMATION OF PARAMETERS OF DURATION-FREQUENCY INTENSITY EQUATIONS OF INTENSE RAIN FOR THE STATE OF ALAGOAS, BRAZIL |
spellingShingle |
ESTIMATION OF PARAMETERS OF DURATION-FREQUENCY INTENSITY EQUATIONS OF INTENSE RAIN FOR THE STATE OF ALAGOAS, BRAZIL Silva, João Batista Lopes da IDF equations Hydrology Rainfall IDF Equations; Hydrology; Rainfall Precipitation. |
title_short |
ESTIMATION OF PARAMETERS OF DURATION-FREQUENCY INTENSITY EQUATIONS OF INTENSE RAIN FOR THE STATE OF ALAGOAS, BRAZIL |
title_full |
ESTIMATION OF PARAMETERS OF DURATION-FREQUENCY INTENSITY EQUATIONS OF INTENSE RAIN FOR THE STATE OF ALAGOAS, BRAZIL |
title_fullStr |
ESTIMATION OF PARAMETERS OF DURATION-FREQUENCY INTENSITY EQUATIONS OF INTENSE RAIN FOR THE STATE OF ALAGOAS, BRAZIL |
title_full_unstemmed |
ESTIMATION OF PARAMETERS OF DURATION-FREQUENCY INTENSITY EQUATIONS OF INTENSE RAIN FOR THE STATE OF ALAGOAS, BRAZIL |
title_sort |
ESTIMATION OF PARAMETERS OF DURATION-FREQUENCY INTENSITY EQUATIONS OF INTENSE RAIN FOR THE STATE OF ALAGOAS, BRAZIL |
author |
Silva, João Batista Lopes da |
author_facet |
Silva, João Batista Lopes da Bento, Nicole Lopes Gomes, Gabriel Soares Lopes Campos, Alcinei Ribeiro Silva, Danilo Paulúcio da |
author_role |
author |
author2 |
Bento, Nicole Lopes Gomes, Gabriel Soares Lopes Campos, Alcinei Ribeiro Silva, Danilo Paulúcio da |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Silva, João Batista Lopes da Bento, Nicole Lopes Gomes, Gabriel Soares Lopes Campos, Alcinei Ribeiro Silva, Danilo Paulúcio da |
dc.subject.por.fl_str_mv |
IDF equations Hydrology Rainfall IDF Equations; Hydrology; Rainfall Precipitation. |
topic |
IDF equations Hydrology Rainfall IDF Equations; Hydrology; Rainfall Precipitation. |
description |
The study of the characteristics of the rains is of fundamental importance, since the frequency of floods has increased in several parts of Brazil, due to anthropic impacts of climatic changes. In this sense, this study aimed to determine the parameters of the intense rainfall equation (K, a, b, c) for 52 municipalities in the state of Alagoas, through 164 pluviometric stations with data available from the National Water Agency (ANA). The data series were subjected to consistency analysis and subsequent breakdown of maximum daytime rains over 5 durations; 10; 15; 20; 25; 30; 60; 360; 480; 600; 720 and 1,440 minutes for each duration and payback period of 5; 10; 25; 50 and 100 years according to different probabilistic models. The adjustment of the parameters was performed using non-linear regression, with R² above 0.949 for all the stations studied, considering for this purpose one station per municipality in the state, totaling 51 study municipalities. It was found that the predicted maximum intensity of pluviometric precipitation increases with the increase of the return period and reduces with the increase of the duration of the rain, with greater intensities detected in the mesoregion of Eastern Alagoano and the lowest intensities in the mesoregion of Sertão Alagoano. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-11 |
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://periodicos.ufv.br/reveng/article/view/10184 10.13083/reveng.v29i1.10184 |
url |
https://periodicos.ufv.br/reveng/article/view/10184 |
identifier_str_mv |
10.13083/reveng.v29i1.10184 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://periodicos.ufv.br/reveng/article/view/10184/6141 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2020 REVISTA ENGENHARIA NA AGRICULTURA - REVENG https://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2020 REVISTA ENGENHARIA NA AGRICULTURA - REVENG https://creativecommons.org/licenses/by-nc/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
publisher.none.fl_str_mv |
Universidade Federal de Viçosa - UFV |
dc.source.none.fl_str_mv |
Engineering in Agriculture; Vol. 28 No. Contínua (2020); 314-325 Revista Engenharia na Agricultura - REVENG; v. 28 n. Contínua (2020); 314-325 2175-6813 1414-3984 reponame:Engenharia na Agricultura instname:Universidade Federal de Viçosa (UFV) instacron:UFV |
instname_str |
Universidade Federal de Viçosa (UFV) |
instacron_str |
UFV |
institution |
UFV |
reponame_str |
Engenharia na Agricultura |
collection |
Engenharia na Agricultura |
repository.name.fl_str_mv |
Engenharia na Agricultura - Universidade Federal de Viçosa (UFV) |
repository.mail.fl_str_mv |
revistaengenharianagricultura@gmail.com||andrerosa@ufv.br||tramitacao.reveng@gmail.com|| reveng@ufv.br |
_version_ |
1800211147040751616 |