a b s t r a c t Study region: The study was conducted in the Rio Grande do Sul state -Brazil. Study focus: Studies about heavy rainfall events are crucial for proper flood management in river basins and for the design of hydraulic infrastructure. In Brazil, the lack of runoff monitoring is evident, therefore, designers commonly use rainfall intensity-duration-frequency (IDF) relationships to derive streamflow-related information. In order to aid the adjustment of IDF relationships, the probabilistic modeling of extreme rainfall is often employed. The objective of this study was to evaluate whether the GEV and Kappa multiparameter probability distributions have more satisfying performance than traditional two-parameter distributions such as Gumbel and Log-Normal in the modeling of extreme rainfall events in southern Brazil. Such distributions were adjusted by the L-moments method and the goodness-of-fit was verified by the Kolmogorov-Smirnov, Chi-Square, Filliben and Anderson-Darling tests. New hydrological insights for the region: The Anderson-Darling and Filliben tests were the most restrictive in this study. Based on the Anderson-Darling test, it was found that the Kappa distribution presented the best performance, followed by the GEV. This finding provides evidence that these multiparameter distributions result, for the region of study, in greater accuracy for the generation of intensity-duration-frequency curves and the prediction of peak streamflows and design hydrographs. As a result, this finding can support the design of hydraulic structures and flood management in river basins.
A simulação hidrológica consiste de uma importante ferramenta para subsidiar a gestão dos recursos hídricos em bacias hidrográficas. A bacia hidrográfica em estudo está localizada na região Alto Rio Grande, sul do estado de Minas Gerais, drenando uma área de 32 km² diretamente para o reservatório da Usina Hidrelétrica de Camargos (UHE - Camargos/Cemig) conhecida como Bacia Hidrográfica do Ribeirão Jaguara (BHRJ). Neste trabalho objetivou-se calibrar e validar o modelo SWAT (Soil and Water Assessment Tool) para a simulação do escoamento superficial na BHRJ. Para isto, o modelo requer mapas georreferenciados de uso atual do solo, unidades pedológicas e modelo digital de elevação, além de dados meteorológicos e hidrológicos. Para este estudo foi aplicada uma série histórica de vazões e dados climáticos diários de 01/01/2006 a 31/08/2009. A acurácia do modelo foi medida com base no coeficiente de Nash-Sutcliffe (CNS) tendo-se obtido valores de 0,66 e 0,87 para as fases de calibração e validação, respectivamente. De acordo com a classificação proposta para o modelo SWAT e com base nos valores de CNS como referência, o modelo pode ser considerado adequado para simulação do comportamento hidrológico da BHRJ, a qual é representativa dos latossolos na região Alto Rio Grande, sul de Minas Gerais.
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