Comments on Sensitivity Analysis, Calibration of Distributed Hydrological Model
分布式水文模型的参数率定及敏感性分析探讨

The sensitivity analysis and calibration is a key and difficult issue to the application and development of the distributed hydrological model.In this paper,several typical and effective global optimization calibration and sensitivity analysis methods are inducted,which include the flowing methods:Genetic Algorithm(GA),Shuffled Complex Evolution(SCE),Bayesian Method (BM), Regionalized Sensitivity Analysis(RSA),Generalized Likelihood Uncertainty Estimation(GLUE) and so on. The advantages and disadvantages between the computer automatic calibration and the artificial calibration are discussed, and then we prospect the future development of the sensitivity analysis and calibration of the distributed hydrological model.