Adequacy of methodologies for determining SCS / CN in a watershed with characteristics of the Pampa biome
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , |
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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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 instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
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) |
repository.mail.fl_str_mv |
nivaldo@ufla.br || repositorio.biblioteca@ufla.br |
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1807835118279065600 |