The uncertainties present in hydrological models have made them difficult and often impossible to apply. This work evaluated the sensitivity of input parameters in the SWAT model used for the modeling of average monthly flow-discharge in the Jucu River Basin, located in the southeast portion of the state of Espírito Santo, Brazil. Sensitivity analysis was performed using the SWAT-CUP program, which uses the SUFI-2 algorithm. Four sensitivity analysis tests differing by the length of hydrological series, number of iteration and fluviometric station locations resulted in different sensitivity levels of input parameters used in the model. In this way, the present study emphasizes the need for a greater detailing of methodological processes used in the sensitivity analysis, so that different hierarchies of parameters can be obtained through the same tool.
The construction of scenarios using hydrological models can evaluate the hydrological response in watersheds, due to changes in the soil use. In this context, this study analyzed the consequences of deforestation in the hydrological behavior of the Doce River Basin, which has a drainage area of approximately 86.715 km². The basin presents problems regarding water availability, floods, indiscriminate deforestation and inadequate soil management. The Model of Large Basins (MGB-IPH) was selected, using daily data from 1990 to 2014, 11 fluviometric, 81 rainfall and 12 meteorological stations, numerical model of the land, soil maps, and use and land cover. Hydrological modeling was performed in the following steps: calibration of parameters (1990 and 2005), validation (2006 to 2014) and simulation of deforestation scenarios (2000 to 2014). It was observed that the replacement of forests by pasture caused reductions in the average annual flows, indicating a decrease in average flows in deforestation scenarios. As for the behavior of floods, deforestation caused them to increase, while the annual minimum flows reduced with deforestation. The results demonstrate the worsening that the simulated scenarios can cause in the problems already found in the basin, such as floods and water shortages, to supply the uses for which the basin is intended.
ResumoEste trabalho apresenta o desenvolvimento de um modelo de qualidade da água acoplado com um software livre de Sistema de Informação Geográfica (SIG) para representação de impactos causados por lançamentos de poluentes em grande escala, com uma visão sistêmica de toda a bacia hidrográfica e com ferramentas simplificadas para lidar com as condições típicas de baixa disponibilidade de dados. No modelo proposto, denominado SIAQUA-IPH, é adotada uma metodologia baseada na solução analítica da equação de transporte de poluentes por meio de um esquema de sobreposição linear. São apresentados testes em que os resultados do modelo foram comparados com experimentos de lançamento de traçadores no Rio Paraíba do Sul, com resultados promissores, considerando-se as incertezas envolvidas.Palavras-chave: qualidade da água; modelagem; SIAQUA-IPH.
AbstractThis paper presents the development of a water quality model coupled with an open source Geographic Information System (GIS) software representing the impacts of large scale pollutant releases, with a systemic view of the entire basin, and simplified tools to deal with typical data scarcity situations. In the proposed model, called SIAQUA-IPH, a methodology based on the pollutant transport equation analytical solution through a scheme of linear superposition is adopted.The paper also presents tests in which model results were compared to tracer releases experiments in the Paraíba do Sul river, where promising results were obtained considering the uncertainties involved.Keywords: water quality; modeling; SIAQUA-IPH.Endereço para correspondência: Fernando Mainardi Fan -Avenida Bento Gonçalves, 9.500 -91501-970 -Porto Alegre (RS), Brasil -E-mail: fernando.fan@ufrgs.br Recebido: 26/06/13 -Aceito: 26/08/13 -Reg. ABES: 1095
IntroduçãoA modelagem matemática da qualidade da água está baseada no uso de equações que representam os processos de transporte e transformação de poluentes em corpos de água. Com a modelagem, é possível diagnosticar problemas relacionados à qualidade da água e avaliar cenários de uma forma relativamente rápida e barata (COX, 2003;BENEDINI, 2011).Ao longo das últimas décadas, foram desenvolvidos diversos modelos de qualidade da água, que são utilizados, por exemplo, para analisar os impactos do lançamento de poluentes em trechos relativamente curtos de rios (COX,
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