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dc.contributor.authorDeus, Simonny C. S-
dc.contributor.authorNeves, Ramiro J. J-
dc.contributor.authorJauche, Eduardo-
dc.contributor.authorAlmeida, Carina-
dc.contributor.authorFaial, Kleber Raimundo Freitas-
dc.contributor.authorMedeiro, Adaelson Campelo-
dc.contributor.authorMendes, Rosivaldo A-
dc.contributor.authorFaial, Kelson do Carmo Freitas-
dc.contributor.authorLeite, Jandecy Cabral-
dc.contributor.authorDeus, Ricardo J. A-
dc.date.accessioned2018-10-16T17:58:26Z-
dc.date.available2018-10-16T17:58:26Z-
dc.date.issued2018-
dc.identifier.citationDEUS, Simonny C. S. et al. Streamflow forecasts due precipitation water in a tropical large watershed at Brazil for flood early warning, based on SWAT model. Journal of Engineering and Technology for Industrial Applications, v. 4, n. 14, p. 4-14, June 2018.pt_BR
dc.identifier.issn2447-0228-
dc.identifier.urihttp://patua.iec.gov.br//handle/iec/3497-
dc.description.abstractThe Tocantins-Araguaia Watershed, which is distributed equivalent to 11% of Brazilian territory, conveys waters to the northern portion of Brazil with average discharge of 11000 m3 s -1 , with contribution from the Tocantins River (40%), the Araguaia River (45%), and the Itacaiúnas River (5%), making possible an intangible flood in the Marabá city and Tucuruí Hydroelectric Plant (Downstream) during periods of high rainfall within the tropical watershed without provide timely warnings. For flash flood forecasting in a tropical large watershed, streamflow forecasts due precipitation water is required for flood early warning and in this sense, numerical prediction models are fundamental to extend streamflow forecast of a watershed due to precipitation. The paper focuses on the use Soil and Water Assessment Tool (SWAT), January 2007 to December 2010 period, to comparison of streamflows obtained from the post-processed precipitation forecasts, in providing skilful flood forecasts. In this sense, the basin was divided into 109 sub-basins and 1969 HRUs, and the model was calibrated and validated based on flow rate data in three monitoring points located next of Marabá city and Tucuruí hydroelectric. Posteriorly, simulated discharges scenario due to climatic variability extreme were generated under three strategies: 10%, 50% and 100% increase in ambient temperature (24℃) due natural and/or anthropogenic events within the watershed. The model results show that stream flows obtained adds value to the flood early warning system when compared to precipitation forecasts. Considering that climate is a direct function of temperature it is obvious that all relevant phenomena undergo changes. The scenarios results show that 50% increase in ambient temperature this leads to greater and faster evaporation. Thus, the gradual increase of precipitation in tropical watershed large alters flow rates over time and increase flood potentials in areas downstream of the basins. However, the need for more detailed evaluation of the model results in the study area is highlighted, due adequately represent the convective precipitation within the large tropical watershed.pt_BR
dc.description.sponsorshipThe research reported here was supported by National Counsel of Technological and Scientific Development - CNPQ, Brazil - UNIVERSAL CALL – MCTI/CNPq Nº 14/2014 and Environment and Conservation Research Laboratory - LaPMAC of Federal University of the Pará, Brazil.pt_BR
dc.language.isoengpt_BR
dc.publisherInstitute of Technology Galileo of Amazonpt_BR
dc.rightsAcesso Abertopt_BR
dc.titleStreamflow forecasts due precipitation water in a tropical large watershed at Brazil for flood early warning, based on SWAT modelpt_BR
dc.typeArtigopt_BR
dc.subject.decsPrimaryÁgua de Chuva / prevenção & controlept_BR
dc.subject.decsPrimaryBacias Hidrográficas / análisept_BR
dc.subject.decsPrimaryPrecipitação Atmosféricapt_BR
dc.subject.decsPrimaryEscoamento de Água de Chuva / métodospt_BR
dc.subject.decsPrimaryCoeficiente de Escoamentopt_BR
dc.subject.decsPrimaryModelo SWATpt_BR
dc.subject.decsPrimaryPrevisão de Inundaçõespt_BR
dc.subject.decsPrimaryPrevisões / métodospt_BR
dc.subject.decsPrimaryInundaçõespt_BR
dc.subject.decsPrimaryBacia do Tocantins-Araguaia (PA)pt_BR
dc.subject.decsPrimaryUsina Hidrelétrica de Tucuruí (PA)pt_BR
dc.creator.affilliationFederal University of Pará. Environment and Conservation Research Laboratory. Belém, PA, Brazil.pt_BR
dc.creator.affilliationTechnical University of Lisbon. Environment Technology Center/MARETEC. Portugal, PTpt_BR
dc.creator.affilliationTechnical University of Lisbon. Environment Technology Center/MARETEC. Portugal, PTpt_BR
dc.creator.affilliationTechnical University of Lisbon. Environment Technology Center/MARETEC. Portugal, PTpt_BR
dc.creator.affilliationMinistério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.pt_BR
dc.creator.affilliationMinistério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.pt_BR
dc.creator.affilliationMinistério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.pt_BR
dc.creator.affilliationMinistério da Saúde. Secretaria de Vigilância em Saúde. Instituto Evandro Chagas. Ananindeua, PA, Brasil.pt_BR
dc.creator.affilliationGalileo Institute of Technology and Education of the Amazon. Manaus, AM, Brazil.pt_BR
dc.creator.affilliationFederal University of Pará. Environment and Conservation Research Laboratory. Belém, PA, Brazil.pt_BR
dc.identifier.doi10.5935/2447-0228.20180027-


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