Application of objectives space decomposition technique solve the parameter estimation problem in the distributed hydrological model

Abstract

    Determining an optimal parameter set in distributed-hydrological model is very essential to solve practical issues in the hydrology and water resources. This article presents the results of application of spatial decomposition technique to find the globally optimal model parameters in the distributed hydrological model. The results achieved on the basin and the experimental problem have shown that the spatial decomposition technique based on the reference direction has helped the problem to be searchable on the entire POF (Pareto-Optimal Front), ensuring diversity of sample in objective space.