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| Registros recuperados : 286 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Cerrados. |
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Data corrente: |
10/11/2022 |
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Data da última atualização: |
10/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
GENEROSO, T. N.; SILVA, D. D. da; AMORIM, R. S. S.; RODRIGUES, L. N.; SANTOS, E. P. dos. |
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Afiliação: |
TARCILA NEVES GENEROSO; DEMETRIUS DAVID DA SILVA; RICARDO SANTOS SILVA AMORIM; LINEU NEIVA RODRIGUES, CPAC; ERLI PINTO DOS SANTOS. |
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Título: |
Methodology for Estimating Streamflow by Water Balance and Rating Curve Methods Based on Logistic Regression. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Water Resources Management, 2022. |
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Páginas: |
14 p. |
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DOI: |
https://doi.org/10.1007/s11269-022-03259-1 |
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Idioma: |
Inglês |
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Conteúdo: |
Both water balance (WB) and rating curve (RC) are methods for estimating streamflow. The first is mostly used to estimate reservoir outflows, while the second is usually adopted in hydrometeorological network streamflow gauges. While WB uses hourly collected data, the RC estimates streamflow using current water level and extrapolation techniques. The objective of this study was to analyze variations in the reservoir?s hourly outflow at Queimado Hydroelectric Power Plant (HPP Queimado) and to propose a method to evaluate whether the estimate of the daily outflows, obtained by the WB method, is similar to the flow values obtained at a conventional station. The logistic regression (LR) model was used because it is a method that adopts binary, categorically dependent variables to identify the event of interest. The results showed that the values of streamflow, obtained from an average of two daily readings, were a good representation of the flows in the region. The LR was able to identify atypical data, especially in the rainy season. This means that data consistency analysis can be faster and safer, when adequately employed and considering the proposed conditions, contributing to both management policies and the management of water resources. |
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Palavras-Chave: |
Estação medidora de vazão; Extrapolação; Modelagem. |
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Thesagro: |
Balanço Hídrico; Vazão. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02027naa a2200253 a 4500
001 2148189
005 2022-11-10
008 2022 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s11269-022-03259-1$2DOI
100 1 $aGENEROSO, T. N.
245 $aMethodology for Estimating Streamflow by Water Balance and Rating Curve Methods Based on Logistic Regression.$h[electronic resource]
260 $c2022
300 $a14 p.
520 $aBoth water balance (WB) and rating curve (RC) are methods for estimating streamflow. The first is mostly used to estimate reservoir outflows, while the second is usually adopted in hydrometeorological network streamflow gauges. While WB uses hourly collected data, the RC estimates streamflow using current water level and extrapolation techniques. The objective of this study was to analyze variations in the reservoir?s hourly outflow at Queimado Hydroelectric Power Plant (HPP Queimado) and to propose a method to evaluate whether the estimate of the daily outflows, obtained by the WB method, is similar to the flow values obtained at a conventional station. The logistic regression (LR) model was used because it is a method that adopts binary, categorically dependent variables to identify the event of interest. The results showed that the values of streamflow, obtained from an average of two daily readings, were a good representation of the flows in the region. The LR was able to identify atypical data, especially in the rainy season. This means that data consistency analysis can be faster and safer, when adequately employed and considering the proposed conditions, contributing to both management policies and the management of water resources.
650 $aBalanço Hídrico
650 $aVazão
653 $aEstação medidora de vazão
653 $aExtrapolação
653 $aModelagem
700 1 $aSILVA, D. D. da
700 1 $aAMORIM, R. S. S.
700 1 $aRODRIGUES, L. N.
700 1 $aSANTOS, E. P. dos
773 $tWater Resources Management, 2022.
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