Runoff measurement and prediction for a watershed under natural vegetation in central Brazil

Detalhes bibliográficos
Autor(a) principal: Silva, C. L.
Data de Publicação: 1999
Outros Autores: Oliveira, C. A. S.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UnB
Texto Completo: http://repositorio.unb.br/handle/10482/25500
https://dx.doi.org/10.1590/S0100-06831999000300024
Resumo: This work aimed to measure and analyze total rainfall (P), rainfall intensity and five-day antecedent rainfall effects on runoff (R); to compare measured and simulated R values using the Soil Conservation Service Curve Number method (CN) for each rainfall event; and to establish average R/P ratios for observed R values. A one-year (07/01/96 to 06/30/97) rainfall-runoff data study was carried out in the Capetinga watershed (962.4 ha), located at the Federal District of Brazil, 47° 52' longitude West and 15° 52' latitude South. Soils of the watershed were predominantly covered by natural vegetation. Total rainfall and runoff for the period were 1,744 and 52.5 mm, respectively, providing R/P of 3% and suggesting that watershed physical characteristics favored water infiltration into the soil. A multivariate regression analysis for 31 main rainfall-runoff events totaling 781.9 and 51.0 mm, respectively, indicated that the amount of runoff was only dependent upon rainfall volume. Simulated values of total runoff were underestimated about 15% when using CN method and an area-weighted average of the CN based on published values. On the other hand, when average values of CN were calculated for the watershed, total runoff was overestimated about 39%, suggesting that CN method shoud be used with care in areas under natural vegetation.
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spelling Runoff measurement and prediction for a watershed under natural vegetation in central BrazilMedição e simulação do escoamento superficial para uma microbacia hidrográfica sob vegetação natural localizada no centro-oeste brasileiroMétodo da curva númeroInfiltração de águaRelação escoamentoThis work aimed to measure and analyze total rainfall (P), rainfall intensity and five-day antecedent rainfall effects on runoff (R); to compare measured and simulated R values using the Soil Conservation Service Curve Number method (CN) for each rainfall event; and to establish average R/P ratios for observed R values. A one-year (07/01/96 to 06/30/97) rainfall-runoff data study was carried out in the Capetinga watershed (962.4 ha), located at the Federal District of Brazil, 47° 52' longitude West and 15° 52' latitude South. Soils of the watershed were predominantly covered by natural vegetation. Total rainfall and runoff for the period were 1,744 and 52.5 mm, respectively, providing R/P of 3% and suggesting that watershed physical characteristics favored water infiltration into the soil. A multivariate regression analysis for 31 main rainfall-runoff events totaling 781.9 and 51.0 mm, respectively, indicated that the amount of runoff was only dependent upon rainfall volume. Simulated values of total runoff were underestimated about 15% when using CN method and an area-weighted average of the CN based on published values. On the other hand, when average values of CN were calculated for the watershed, total runoff was overestimated about 39%, suggesting that CN method shoud be used with care in areas under natural vegetation.Este trabalho objetivou medir e analisar o efeito das variáveis total precipitado (P), intensidade de chuva e precipitação antecedente em cinco dias, no escoamento superficial (R); comparar valores observados e simulados de R, usando o método da Curva Número (CN), proposto pelo Serviço de Conservação de Solos dos EUA, e estabelecer a relação R/P. No período de 01/07/96 a 30/06/97, foram medidos a precipitação (1.744 mm) e o escoamento superficial (52,5 mm) na microbacia do Córrego Capetinga (964,2 ha), localizada no Distrito Federal. A cobertura vegetal da microbacia é predominantemente natural, constituída de cerrados, campo-cerrado, campo sujo e campo limpo. Em virtude do pequeno volume de escoamento superficial, evidenciaram-se boas características para infiltração na microbacia, haja vista que, no período analisado, a relação R/P foi apenas de 3%. Uma análise de regressão multivariada das 31 principais chuvas, totalizando 781,9 mm as quais provocaram um escoamento de 51,0 mm, indicou que o escoamento dependeu somente da magnitude de cada chuva. Tomando valores da curva número (CN), dados pelos manuais de hidrologia a serem usados no método de mesmo nome e selecionados em função das características edafogeológicas e vegetativas da microbacia, verificou-se uma subestimativa nos valores simulados do escoamento superficial total de 15%, quando comparados com os valores observados. Utilizando valores de CN calculados para a microbacia, o método superestimou os resultados em 39%. Em razão dessas discrepâncias, recomenda-se cautela no uso desse método em áreas sob vegetação natural.Em processamentoSociedade Brasileira de Ciência do Solo2017-12-07T04:31:42Z2017-12-07T04:31:42Z1999info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfRev. Bras. Ciênc. Solo,v.23,n.3,p.695-701,1999http://repositorio.unb.br/handle/10482/25500https://dx.doi.org/10.1590/S0100-06831999000300024Silva, C. L.Oliveira, C. A. S.info:eu-repo/semantics/openAccessengreponame:Repositório Institucional da UnBinstname:Universidade de Brasília (UnB)instacron:UNB2024-08-28T16:32:44Zoai:repositorio.unb.br:10482/25500Repositório InstitucionalPUBhttps://repositorio.unb.br/oai/requestrepositorio@unb.bropendoar:2024-08-28T16:32:44Repositório Institucional da UnB - Universidade de Brasília (UnB)false
dc.title.none.fl_str_mv Runoff measurement and prediction for a watershed under natural vegetation in central Brazil
Medição e simulação do escoamento superficial para uma microbacia hidrográfica sob vegetação natural localizada no centro-oeste brasileiro
title Runoff measurement and prediction for a watershed under natural vegetation in central Brazil
spellingShingle Runoff measurement and prediction for a watershed under natural vegetation in central Brazil
Silva, C. L.
Método da curva número
Infiltração de água
Relação escoamento
title_short Runoff measurement and prediction for a watershed under natural vegetation in central Brazil
title_full Runoff measurement and prediction for a watershed under natural vegetation in central Brazil
title_fullStr Runoff measurement and prediction for a watershed under natural vegetation in central Brazil
title_full_unstemmed Runoff measurement and prediction for a watershed under natural vegetation in central Brazil
title_sort Runoff measurement and prediction for a watershed under natural vegetation in central Brazil
author Silva, C. L.
author_facet Silva, C. L.
Oliveira, C. A. S.
author_role author
author2 Oliveira, C. A. S.
author2_role author
dc.contributor.author.fl_str_mv Silva, C. L.
Oliveira, C. A. S.
dc.subject.por.fl_str_mv Método da curva número
Infiltração de água
Relação escoamento
topic Método da curva número
Infiltração de água
Relação escoamento
description This work aimed to measure and analyze total rainfall (P), rainfall intensity and five-day antecedent rainfall effects on runoff (R); to compare measured and simulated R values using the Soil Conservation Service Curve Number method (CN) for each rainfall event; and to establish average R/P ratios for observed R values. A one-year (07/01/96 to 06/30/97) rainfall-runoff data study was carried out in the Capetinga watershed (962.4 ha), located at the Federal District of Brazil, 47° 52' longitude West and 15° 52' latitude South. Soils of the watershed were predominantly covered by natural vegetation. Total rainfall and runoff for the period were 1,744 and 52.5 mm, respectively, providing R/P of 3% and suggesting that watershed physical characteristics favored water infiltration into the soil. A multivariate regression analysis for 31 main rainfall-runoff events totaling 781.9 and 51.0 mm, respectively, indicated that the amount of runoff was only dependent upon rainfall volume. Simulated values of total runoff were underestimated about 15% when using CN method and an area-weighted average of the CN based on published values. On the other hand, when average values of CN were calculated for the watershed, total runoff was overestimated about 39%, suggesting that CN method shoud be used with care in areas under natural vegetation.
publishDate 1999
dc.date.none.fl_str_mv 1999
2017-12-07T04:31:42Z
2017-12-07T04:31:42Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv Rev. Bras. Ciênc. Solo,v.23,n.3,p.695-701,1999
http://repositorio.unb.br/handle/10482/25500
https://dx.doi.org/10.1590/S0100-06831999000300024
identifier_str_mv Rev. Bras. Ciênc. Solo,v.23,n.3,p.695-701,1999
url http://repositorio.unb.br/handle/10482/25500
https://dx.doi.org/10.1590/S0100-06831999000300024
dc.language.iso.fl_str_mv eng
language eng
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 Sociedade Brasileira de Ciência do Solo
publisher.none.fl_str_mv Sociedade Brasileira de Ciência do Solo
dc.source.none.fl_str_mv reponame:Repositório Institucional da UnB
instname:Universidade de Brasília (UnB)
instacron:UNB
instname_str Universidade de Brasília (UnB)
instacron_str UNB
institution UNB
reponame_str Repositório Institucional da UnB
collection Repositório Institucional da UnB
repository.name.fl_str_mv Repositório Institucional da UnB - Universidade de Brasília (UnB)
repository.mail.fl_str_mv repositorio@unb.br
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