Análise de sensibilidade dos parâmetros do modelo SWAT e simulação dos processos hidrossedimentológicos em uma bacia no agreste nordestino
Erosion has been recognized as the main cause of soil degradation and is accelerated by human intervention in watersheds, causing losses to the agricultural sector and damaging the environment. To estimate the impacts caused by land use or climate changes on hydrosedimentological processes, physical...
| Autores: | , , , , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2013 |
| País: | Brasil |
| Institución: | Universidade Federal de Sergipe (UFS) |
| Repositorio: | Repositório Institucional da UFS |
| Idioma: | portugués |
| OAI Identifier: | oai:oai:ri.ufs.br:repo_01:riufs/23649 |
| Acceso en línea: | https://ri.ufs.br/jspui/handle/riufs/23649 |
| Access Level: | acceso abierto |
| Palabra clave: | Erosão hídrica Produção de sedimentos Modelagem hidrológica Water erosion Sediment yield Hydrologic modeling |
| Sumario: | Erosion has been recognized as the main cause of soil degradation and is accelerated by human intervention in watersheds, causing losses to the agricultural sector and damaging the environment. To estimate the impacts caused by land use or climate changes on hydrosedimentological processes, physically-based distributed models have been shown to be quite effective. In this study, the SWAT model was calibrated and validated for two subwatersheds of the Japaratuba Mirim river watershed, one located upstream of the Fazenda Pão de Açúcar - PA (137.3 km2 ), and another located upstream of Fazenda Cajueiro - CJ (277.8 km2 ) in the state of Sergipe, to simulate runoff and soil erosion. To test the sensitivity of the calibrated parameters, the runoff was also simulated by a cross application of the 12 most sensitive parameters in the two watersheds, from 1985 to 2000. The results showed that the model was able to simulate the runoff and forecast, in a consistent way, the sediment yield. However, while the cross application of the parameters from the bigger (CJ) to the smaller watershed (PA) resulted in satisfactory Nash-Sutcliffe efficiency (NSE) and percent bias (PBIAS), the opposite was not true. |
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