Com qual antecedência conseguimos prever cheias no rio Uruguai usando um modelo hidrológico de grande escala?

Combien de temps à l'avance peut-on prévoir les crues du fleuve Uruguay à l'aide d'un modèle hydrologique à grande échelle?;
How far in advance can we predict floods on the Uruguay River using a large-scale hydrological model?;
Con cuánto tiempo de anticipación podemos predecir inundaciones en el río Uruguay utilizando un modelo hidrológico a gran escala?;
Combien de temps à l'avance peut-on prévoir les crues du fleuve Uruguay à l'aide d'un modèle hydrologique à grande échelle?

dc.creatorGUIMARÃES, Guilherme Mendoza
dc.creatorFAN, Fernando Mainardi
dc.creatorMARCUZZO, Francisco Fernando Noronha
dc.creatorBUFFON, Franco Turco
dc.creatorGERMANO, Andrea de Oliveira
dc.date2018-07-26T10:02:46Z
dc.date2018-07-26T10:02:46Z
dc.date2018-07
dc.date.accessioned2023-10-03T20:57:01Z
dc.date.available2023-10-03T20:57:01Z
dc.identifierGUIMARÃES, Guilherme Mendoza et al. Com qual antecedência conseguimos prever cheias no rio Uruguai usando um modelo hidrológico de grande escala? In: ENCONTRO NACIONAL DE DESASTRES, 1., 2018, Porto Alegre. [Trabalhos aprovados...] Porto Alegre: ABRH, 2018.
dc.identifierhttps://rigeo.cprm.gov.br/handle/doc/19640
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9178372
dc.descriptionThe short and medium-range flow forecasting techniques using large-scale hydrological models have several direct applications in the management of natural disasters through warning systems. The present study is a research study on this type of system, applied in the Uruguay River Basin (RS, SC, Argentina and Uruguay). The objective of this study was to investigate the predictability of critical events at points of interest in the Uruguay river basin. We aimed to evaluate how early it is possible to estimate the peak flow in some sites susceptible to flooding in the basin. For the present research we selected municipalities that will be initially served by the Geological Service of Brazil (CPRM) warning system in the Uruguay river: Garruchos, Itaqui, Porto Lucena, São Borja and Uruguaiana. In the evaluation, the Nash-Sutcliffe Efficiency coefficient (NSE) was used. After the calibration and validation of the model, the predictability analysis was performed based on 15 flood events that occurred between 1980 and 2017 in which the forecasts of daily time-step were compared to a reference simulation. It was verified that there is an increase in the predictability from one day for up to three days, increasing as further downstream the place of interest is located. Also it was evidenced that the predictability especially in Uruguaiana city is dependent on where the floods are originated (higher Uruguay basin or Ibicuí basin). These results constitute useful information that may assist managers in decision making during critical events where forecast are provided by the proposed type of modeling
dc.descriptionO estudo abrange as seguintes bacias e sub-bacias hidrográficas (entre outras): Bacia 7, Bacia hidrográfica do Rio Uruguai, Bacia Hidrográfica do Rio Quaraí, Bacia Hidrográfica do rio Ibicuí, Bacia Hidrográfica do Rio Pelotas, Bacia Hidrográfica do Rio do Peixe, Sub-Bacia 70, Sub-Bacia 71, Sub-Bacia 72, Sub-Bacia 73, Sub-Bacia 74, Sub-Bacia 75, Sub-Bacia 76, Sub-Bacia 77, Sub-Bacia 78 e Sub-Bacia 79. O estudo abrange os seguintes municípios (entre outros): Barracão, Urubici, Campos Novos, Caçador, Marcelino Ramos, Água Doce, Uruguaiana, Bagé, Quaraí, Rio dos Índios, Campo Erê, Doutor Maurício, Cardoso, Chapada, Itaqui, Tupanciretâ, Santana do Livramento, Hulha Negra, Aceguá, Alpestre, Itá, Piratuba, Maximiliano de Almeida, Anita Garibaldi e Pinhal da Serra. O estudo abrange as seguintes UHEs: Usina Hidrelétrica de Campos Novos, Usina Hidrelétrica de Barra Grande, Usina Hidrelétrica de Machadinho, Usina Hidrelétrica de Itá, Usina Hidrelétrica Foz do Chapecó e Águas de Chapecó. O estudo abrange os seguintes rios (entre outros): Rio Uruguai, Rio Canoas, Rio Pelotas, Rio do Peixe, Rio Chapecó, Rio Peperi-Guaçu, Rio camaquã, Rio Forquilha, Rio Apuaê, Rio Passo Fundo, Rio da Várzea, Rio Ijuí, Rio Ibicuí, Rio Quaraí e Rio Negro. O estudo abrange os seguintes estados e países: Rio Grande do Sul, Santa Catarina, Uruguai e Argentina.
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dc.languagept_BR
dc.publisherABRH
dc.rightsopen
dc.subjectHIDROLOGIA
dc.subjectMODELOS HIDROLÓGICOS
dc.subjectSISTEMA DE ALERTA
dc.subjectPREVISÃO HIDROLÓGICA
dc.subjectPREVISIBILIDADE
dc.subjectRIO GRANDE DO SUL
dc.subjectRIO URUGUAI
dc.subjectSISTEMA DE ALERTA DE EVENTOS CRÍTICOS
dc.subjectSACE
dc.subjectCHEIAS
dc.subjectINUNDAÇÕES
dc.subjectMODELOS DE GRANDES BACIAS
dc.subjectMGB
dc.subjectMODELO DIGITAL DE ELEVAÇÃO
dc.subjectHIDROLOGY
dc.subjectHYDROLOGICAL MODELS
dc.subjectALERT SYSTMS
dc.subjectHYDROLOGICAL FORECAST
dc.subjectURUGUAY RIVER
dc.subjectBRASIL
dc.subjectARGENTINA
dc.subjectURUGUAI
dc.subjectOTTOCODIFICATION
dc.subjectRIVER CODIFICATION
dc.subjectMORPHOLOGY
dc.subjectRELIEF
dc.subjectHIPSOMETRIC
dc.subjectDIGITAL MODEL ELEVATION
dc.subjectPREVISIÓN HIDROLÓGICA
dc.subjectHIDROLOGÍA
dc.titleCom qual antecedência conseguimos prever cheias no rio Uruguai usando um modelo hidrológico de grande escala?
dc.titleCombien de temps à l'avance peut-on prévoir les crues du fleuve Uruguay à l'aide d'un modèle hydrologique à grande échelle?
dc.titleHow far in advance can we predict floods on the Uruguay River using a large-scale hydrological model?
dc.titleCon cuánto tiempo de anticipación podemos predecir inundaciones en el río Uruguay utilizando un modelo hidrológico a gran escala?
dc.titleCombien de temps à l'avance peut-on prévoir les crues du fleuve Uruguay à l'aide d'un modèle hydrologique à grande échelle?
dc.typeWorking Paper


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