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Registro Completo |
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Biblioteca(s): |
Embrapa Agrossilvipastoril. |
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Data corrente: |
19/02/2019 |
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Data da última atualização: |
19/02/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
CASAVECCHIA, B. H.; ALMEIDA, F. T. de; SOUZA, A. P. de; ZOLIN, C. A.; ULIANA, E. M.; MARQUES, A. |
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Afiliação: |
BRUNO HENRIQUE CASAVECCHIA, EMPAER, MT; FREDERICO TERRA DE ALMEIDA, UFMT, SINOP, MT; ADILSON PACHECO DE SOUZA, UFMT, SINOP, MT; CORNELIO ALBERTO ZOLIN, CPAMT; EDUARDO MORGAN ULIANA, UFMT, SINOP, MT; ADRIANA MARQUES, IFSP, SAO PAULO, SP. |
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Título: |
Model rainfall-runoff in the constraints Amazon. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Ciência e Natura, v. 40, e76, 2018. |
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Idioma: |
Inglês |
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Conteúdo: |
The development of a hydrological model in Amazon region has been a challenge for researchers since historical series of hydrological data in the Amazon region are still insufficient. The aim of this study was based on different samples of settings for calibration and validation of IPH II model, using limited historical series of data of daily average water flow registered in Caiabi river hydrologic basin, a tributary stream of Teles Pires river- Mato Grosso. The total area of the study location is 440.98 km2, and there were installed three meteorological automatic stations for climate monitoring, and one linigraph in the basin end for monitoring the altimetric quotas and also to estimate the daily water flow of the river. The precipitation data, evapotranspiration and water flow used to feed the IPH II model were collected between 09/18/2015 and 04/30/2016, using sixty percent of the initial historical data to calibrate and forty percent to validate the model has shown better statistic performance, however rearranging the data and establishing the sixty percent of the central data for the calibration was verified that there was an increase in the statistical performance of the model making the simulations of the IPH II model were successful. It was indicated by the results that the sample methodology for calibration of hydrologic models can bring substantial improvement to the performance. |
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Palavras-Chave: |
Modelo IPH II; Pequena série de dados; Simulação hidrológica. |
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Thesaurus Nal: |
Hydrologic models. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/192990/1/2018-cpamt-cornelio-zolin-model-rainfall-runoff-constrainsts-amazon.pdf
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Marc: |
LEADER 02047naa a2200229 a 4500
001 2106205
005 2019-02-19
008 2018 bl uuuu u00u1 u #d
100 1 $aCASAVECCHIA, B. H.
245 $aModel rainfall-runoff in the constraints Amazon.$h[electronic resource]
260 $c2018
520 $aThe development of a hydrological model in Amazon region has been a challenge for researchers since historical series of hydrological data in the Amazon region are still insufficient. The aim of this study was based on different samples of settings for calibration and validation of IPH II model, using limited historical series of data of daily average water flow registered in Caiabi river hydrologic basin, a tributary stream of Teles Pires river- Mato Grosso. The total area of the study location is 440.98 km2, and there were installed three meteorological automatic stations for climate monitoring, and one linigraph in the basin end for monitoring the altimetric quotas and also to estimate the daily water flow of the river. The precipitation data, evapotranspiration and water flow used to feed the IPH II model were collected between 09/18/2015 and 04/30/2016, using sixty percent of the initial historical data to calibrate and forty percent to validate the model has shown better statistic performance, however rearranging the data and establishing the sixty percent of the central data for the calibration was verified that there was an increase in the statistical performance of the model making the simulations of the IPH II model were successful. It was indicated by the results that the sample methodology for calibration of hydrologic models can bring substantial improvement to the performance.
650 $aHydrologic models
653 $aModelo IPH II
653 $aPequena série de dados
653 $aSimulação hidrológica
700 1 $aALMEIDA, F. T. de
700 1 $aSOUZA, A. P. de
700 1 $aZOLIN, C. A.
700 1 $aULIANA, E. M.
700 1 $aMARQUES, A.
773 $tCiência e Natura$gv. 40, e76, 2018.
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Embrapa Agrossilvipastoril (CPAMT) |
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