Abstract: One-dimensional (1D) hydrodynamic models based on the Saint-Venant equations (the SVN model) have been extensively used for flow simulation in tidal rivers. In rivers with significant tidal effects, the inconsistencies ...

Abstract: Objective functions are the most important information source for parameter calibration. Current parameter calibration methods mostly employ error sum of squares as the objective function and depend on the information ...

Abstract: Conceptual rainfall-runoff models that aim at predicting streamflow from the knowledge of rainfall over a catchment are a basic tool for flood forecasting. The parameter calibration of a conceptual model usually involves ...

Abstract: Channel geometry can affect the performance of the autoregressive (AR) model on river stage correction. To evaluate the effect, three ideal models were established by using the one-dimensional (1D) hydrodynamic model with ...

Abstract: The purpose of this paper is to propose an effective optimization technique that can overcome the local minimum problem resulting from the nonlinear construction of the rainfall-runoff model. First, this technique attempts ...

Abstract: This paper develops a comprehensive methodology to address the attitude control problem of hypersonic vehicles in the presence of matched model uncertainties and external disturbances. Initially, a nonlinear dynamic model ...

Abstract: Error correction is an important postprocess technique in hydrological modeling. The paper aims to investigate the effectiveness and suitability of a recently proposed error correction method, the regularized dynamic system ...