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: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/49339
Resumo: 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 biomeAdequação de metodologias para determinação de SCS / CN em uma bacia hidrográfica com características do bioma PampaEffective rainfallExtreme eventsHydrological modelingChuva efetivaEventos extremosModelagem hidrológicaThe 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.O Modelo do Número da Curva do Serviço de Conservação do Solo é um modelo conceitual destinado a estimar a precipitação efetiva (ER). Esse modelo está embasado em um parâmetro - denominado Curve Number (CN), que é determinado a partir de informações sobre as características da bacia hidrográfica. O Método Padrão (M1) para determinar o CN é baseado em tabelas de solo e uso da terra, no entanto, alguns autores propuseram metodologias alternativas para definir o valor de CN de eventos monitorados de chuva-escoamento, como aqueles descritos por Hawkins (1993) (M2), Soulis and Valiantzas (2012) (M3) e Soulis and Valiantzas (2013) (M4). O objetivo deste trabalho foi avaliar o impacto da utilização desses métodos para determinação do parâmetro CN na estimativa da ER, tomando como referência quarenta eventos pluviométricos monitorados entre 2015 e 2018 na bacia do rio Cadeia, que possui características de Bioma Pampa. Os diferentes métodos avaliados para definição do parâmetro CN resultaram em desempenhos contrastantes no que diz respeito à estimativa de ER para CRW, como os seguintes achados: i) M1 deu valores de ER com pouca confiabilidade, principalmente devido à classificação das classes de teor de umidade antecedentes; ii) M3 apresentou os melhores resultados na determinação de ER, seguido de M2; e iii) os valores de ER estimados de acordo com o M4 diferiram dos observados, principalmente para eventos com menores profundidades de chuva.Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)2022-02-15T21:57:08Z2022-02-15T21:57:08Z2021-08info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfCUNHA, Z. A. da et al. Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome. Revista Ambiente & Água, Taubaté, v. 16, n. 4, e2715, 2021. DOI: 10.4136/1980-993X.http://repositorio.ufla.br/jspui/handle/1/49339Revista Ambiente & Água - An Interdisciplinary Journal of Applied Sciencereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessCunha, Zandra Almeida daBeskow, SamuelMoura, Maíra Martim deBeskow, Tamara Leitzke CaldeiraMello, Carlos Rogério deeng2023-05-03T11:43:39Zoai:localhost:1/49339Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-03T11:43:39Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome
Adequação de metodologias para determinação de SCS / CN em uma bacia hidrográfica com características do bioma Pampa
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
Chuva efetiva
Eventos extremos
Modelagem hidrológica
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
Chuva efetiva
Eventos extremos
Modelagem hidrológica
topic Effective rainfall
Extreme events
Hydrological modeling
Chuva efetiva
Eventos extremos
Modelagem hidrológica
description 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 2021-08
2022-02-15T21:57:08Z
2022-02-15T21:57:08Z
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 CUNHA, Z. A. da et al. Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome. Revista Ambiente & Água, Taubaté, v. 16, n. 4, e2715, 2021. DOI: 10.4136/1980-993X.
http://repositorio.ufla.br/jspui/handle/1/49339
identifier_str_mv CUNHA, Z. A. da et al. Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome. Revista Ambiente & Água, Taubaté, v. 16, n. 4, e2715, 2021. DOI: 10.4136/1980-993X.
url http://repositorio.ufla.br/jspui/handle/1/49339
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHi)
dc.source.none.fl_str_mv Revista Ambiente & Água - An Interdisciplinary Journal of Applied Science
reponame:Repositório Institucional da UFLA
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instname_str Universidade Federal de Lavras (UFLA)
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reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
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