Abstract
Hydrological models play vital roles in management of water resources. However, the calibration of the hydrological models is a large challenge because of the uncertainty involved in the large number of parameters. In this study, four uncertainty analysis techniques, including SUFI-2, GLUE, ParaSol, and PSO, were applied to assess the uncertainty of hydrological modelling results of the SWAT model. The upper Dong Nai River Basin was selected as a case study for this research. The four methods were compared in terms of the model prediction uncertainty, the model performance, and the model computational efficiency. The results indicated the SUF-2 method was able to provide more reasonable and accurate prediction than the other three methods. The results of this study provide a scientific reference based on uncertainty analysis to decision-makers in order to improve the decision support process in river basin management.
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