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| 1. |  | ROSSI, F.; MELO, P. C. T.; AZEVEDO FILHO, J. A.; AMBROSANO, E. J.; GUIRADO, N.; SCHAMMAS, E. A.; CAMARGO, L. F. Cultivares de batata para sistemas orgânicos de produção. Horticultura Brasileira, Brasília, v. 29, n. 3, p. 374-376, jul./set. 2011.| Biblioteca(s): Epagri-Sede. |
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| 2. | | AMBROSANO, E.J.; ROSSI, F.; TAMISO, L.G.; MELO, P.C.T.de; SCHAMMAS, E.A.; GUIRADO, N.; TESSARIOLI NETO, J. Adubacao verde em cultivo organico de hortalicas. Revista de Agricultura, Piracicaba, v.83, n.1, p.1-7, jun. 2008.| Biblioteca(s): Epagri-Sede. |
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Registro Completo
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Biblioteca(s): |
Epagri-Sede. |
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Data corrente: |
15/09/2021 |
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Data da última atualização: |
15/09/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
Nacional - B |
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Autoria: |
AGUIAR, A. F. O.; BACK, A. J.; RECIO, M. A. L.; CORSEUIL, C. W. |
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Título: |
Maximum flow study by the hydrogram method for a watershed in the south of Santa Catarina, Brazil. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Revista de Ciências Ambientais, Canoas, v. 15, n. 2, p. 1-18, 2021. |
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Idioma: |
Inglês |
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Conteúdo: |
Knowing the maximum flow and its return period is extremely important for safely dimension hydraulic projects for flood prediction and control and also water erosion prediction. Thus, this study aimed to evaluate Capivari river watershed maximum flow, located in south of Santa Catarina, that has a flooding history. The method used was e United States Soil Conservation Service (SCS) Triangular Unit Hydrogram method (current Natural Resources Conservation Service), and, for eff ective rainfall, the US Curve Number (SCS-CN) method is used. To estimate the maximum flow in the watershed, three background moisture scenarios (CNI, CNII and CNIII) and six empirical equations proposed for rural watersheds were adopted to calculate the concentration time. To evaluate the observed upstream flow, a 34-years historical series was used, measured at the São Martinho downstream fluviometric station (code 84598002), located in the outlet section of the study watershed. The results showed that the maximum flows estimated by the SCS CN method for the conditions of CNII and CNIII had greater differences (-198% and -287%) compared to the observed flow. The smallest differences were verified for the CNI condition for all the analyzed return periods (2, 5, 10, 15, 20, 25, 50 and 100). Also, it was observed that, the longer is the return period, smaller the difference among the maximum observed and estimated flows, and, the smallest was verifi ed for the 50- year period, indicating that this is the most appropriate for studies of extreme events in the study watershed. MenosKnowing the maximum flow and its return period is extremely important for safely dimension hydraulic projects for flood prediction and control and also water erosion prediction. Thus, this study aimed to evaluate Capivari river watershed maximum flow, located in south of Santa Catarina, that has a flooding history. The method used was e United States Soil Conservation Service (SCS) Triangular Unit Hydrogram method (current Natural Resources Conservation Service), and, for eff ective rainfall, the US Curve Number (SCS-CN) method is used. To estimate the maximum flow in the watershed, three background moisture scenarios (CNI, CNII and CNIII) and six empirical equations proposed for rural watersheds were adopted to calculate the concentration time. To evaluate the observed upstream flow, a 34-years historical series was used, measured at the São Martinho downstream fluviometric station (code 84598002), located in the outlet section of the study watershed. The results showed that the maximum flows estimated by the SCS CN method for the conditions of CNII and CNIII had greater differences (-198% and -287%) compared to the observed flow. The smallest differences were verified for the CNI condition for all the analyzed return periods (2, 5, 10, 15, 20, 25, 50 and 100). Also, it was observed that, the longer is the return period, smaller the difference among the maximum observed and estimated flows, and, the smallest was verifi ed for the 50- year period, indicating that ... Mostrar Tudo |
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Palavras-Chave: |
Eff ective Rainfall; SCS Curve Number; Time of Concentration. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02197naa a2200193 a 4500
001 1131208
005 2021-09-15
008 2021 bl uuuu u00u1 u #d
100 1 $aAGUIAR, A. F. O.
245 $aMaximum flow study by the hydrogram method for a watershed in the south of Santa Catarina, Brazil.$h[electronic resource]
260 $c2021
520 $aKnowing the maximum flow and its return period is extremely important for safely dimension hydraulic projects for flood prediction and control and also water erosion prediction. Thus, this study aimed to evaluate Capivari river watershed maximum flow, located in south of Santa Catarina, that has a flooding history. The method used was e United States Soil Conservation Service (SCS) Triangular Unit Hydrogram method (current Natural Resources Conservation Service), and, for eff ective rainfall, the US Curve Number (SCS-CN) method is used. To estimate the maximum flow in the watershed, three background moisture scenarios (CNI, CNII and CNIII) and six empirical equations proposed for rural watersheds were adopted to calculate the concentration time. To evaluate the observed upstream flow, a 34-years historical series was used, measured at the São Martinho downstream fluviometric station (code 84598002), located in the outlet section of the study watershed. The results showed that the maximum flows estimated by the SCS CN method for the conditions of CNII and CNIII had greater differences (-198% and -287%) compared to the observed flow. The smallest differences were verified for the CNI condition for all the analyzed return periods (2, 5, 10, 15, 20, 25, 50 and 100). Also, it was observed that, the longer is the return period, smaller the difference among the maximum observed and estimated flows, and, the smallest was verifi ed for the 50- year period, indicating that this is the most appropriate for studies of extreme events in the study watershed.
653 $aEff ective Rainfall
653 $aSCS Curve Number
653 $aTime of Concentration
700 1 $aBACK, A. J.
700 1 $aRECIO, M. A. L.
700 1 $aCORSEUIL, C. W.
773 $tRevista de Ciências Ambientais, Canoas$gv. 15, n. 2, p. 1-18, 2021.
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