Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome

Detalhes bibliográficos
Autor(a) principal: Cunha,Zandra Almeida da
Data de Publicação: 2021
Outros Autores: Beskow,Samuel, Moura,Maíra Martim de, Beskow,Tamara Leitzke Caldeira, Mello,Carlos Rogério de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ambiente & Água
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000400303
Resumo: Abstract The Soil Conservation Service Curve Number Model is a conceptual model intended for estimating effective rainfall (ER). This model is grounded in a parameter - referred to as Curve Number (CN), which is determined from information on the characteristics of the watershed. The Standard Method (M1) for determining the CN is based on soil and land-use tables; however, some authors have proposed alternative methodologies for defining the CN value from monitored rainfall-runoff events, such as those described by Hawkins (1993) (M2), Soulis and Valiantzas (2012) (M3), and Soulis and Valiantzas (2013) (M4). The objective of this study was to evaluate the impact of using these methods for determination of the CN parameter on the estimation of ER, taking as reference forty rainfall-runoff events monitored between 2015 and 2018 in the Cadeia River Watershed, which has characteristics of the Pampa biome. The different methods assessed for definition of the CN parameter resulted in contrasting performances with respect to the estimation of ER for CRW, as the following findings: i) M1 gave ER values with little reliability, mainly due to the classification of antecedent moisture content classes; ii) M3 provided the best results in determining ER, followed by M2; and iii) the ER values estimated according to M4 differed from those observed, mainly for events with lower rainfall depths.
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spelling Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biomeeffective rainfallextreme eventshydrological modelingAbstract The Soil Conservation Service Curve Number Model is a conceptual model intended for estimating effective rainfall (ER). This model is grounded in a parameter - referred to as Curve Number (CN), which is determined from information on the characteristics of the watershed. The Standard Method (M1) for determining the CN is based on soil and land-use tables; however, some authors have proposed alternative methodologies for defining the CN value from monitored rainfall-runoff events, such as those described by Hawkins (1993) (M2), Soulis and Valiantzas (2012) (M3), and Soulis and Valiantzas (2013) (M4). The objective of this study was to evaluate the impact of using these methods for determination of the CN parameter on the estimation of ER, taking as reference forty rainfall-runoff events monitored between 2015 and 2018 in the Cadeia River Watershed, which has characteristics of the Pampa biome. The different methods assessed for definition of the CN parameter resulted in contrasting performances with respect to the estimation of ER for CRW, as the following findings: i) M1 gave ER values with little reliability, mainly due to the classification of antecedent moisture content classes; ii) M3 provided the best results in determining ER, followed by M2; and iii) the ER values estimated according to M4 differed from those observed, mainly for events with lower rainfall depths.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000400303Revista Ambiente & Água v.16 n.4 2021reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2715info:eu-repo/semantics/openAccessCunha,Zandra Almeida daBeskow,SamuelMoura,Maíra Martim deBeskow,Tamara Leitzke CaldeiraMello,Carlos Rogério deeng2021-08-02T00:00:00Zoai:scielo:S1980-993X2021000400303Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2021-08-02T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false
dc.title.none.fl_str_mv Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome
title Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome
spellingShingle Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome
Cunha,Zandra Almeida da
effective rainfall
extreme events
hydrological modeling
title_short Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome
title_full Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome
title_fullStr Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome
title_full_unstemmed Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome
title_sort Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome
author Cunha,Zandra Almeida da
author_facet Cunha,Zandra Almeida da
Beskow,Samuel
Moura,Maíra Martim de
Beskow,Tamara Leitzke Caldeira
Mello,Carlos Rogério de
author_role author
author2 Beskow,Samuel
Moura,Maíra Martim de
Beskow,Tamara Leitzke Caldeira
Mello,Carlos Rogério de
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Cunha,Zandra Almeida da
Beskow,Samuel
Moura,Maíra Martim de
Beskow,Tamara Leitzke Caldeira
Mello,Carlos Rogério de
dc.subject.por.fl_str_mv effective rainfall
extreme events
hydrological modeling
topic effective rainfall
extreme events
hydrological modeling
description Abstract The Soil Conservation Service Curve Number Model is a conceptual model intended for estimating effective rainfall (ER). This model is grounded in a parameter - referred to as Curve Number (CN), which is determined from information on the characteristics of the watershed. The Standard Method (M1) for determining the CN is based on soil and land-use tables; however, some authors have proposed alternative methodologies for defining the CN value from monitored rainfall-runoff events, such as those described by Hawkins (1993) (M2), Soulis and Valiantzas (2012) (M3), and Soulis and Valiantzas (2013) (M4). The objective of this study was to evaluate the impact of using these methods for determination of the CN parameter on the estimation of ER, taking as reference forty rainfall-runoff events monitored between 2015 and 2018 in the Cadeia River Watershed, which has characteristics of the Pampa biome. The different methods assessed for definition of the CN parameter resulted in contrasting performances with respect to the estimation of ER for CRW, as the following findings: i) M1 gave ER values with little reliability, mainly due to the classification of antecedent moisture content classes; ii) M3 provided the best results in determining ER, followed by M2; and iii) the ER values estimated according to M4 differed from those observed, mainly for events with lower rainfall depths.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
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=S1980-993X2021000400303
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2021000400303
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4136/ambi-agua.2715
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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dc.publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
dc.source.none.fl_str_mv Revista Ambiente & Água v.16 n.4 2021
reponame:Revista Ambiente & Água
instname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
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instacron_str IPABHI
institution IPABHI
reponame_str Revista Ambiente & Água
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repository.name.fl_str_mv Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
repository.mail.fl_str_mv ||ambi.agua@gmail.com
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