An Efficient Parameter Calibration Method for API Hydrological Model

摘要

API hydrological model is common used on streamflow forecasting for its' simple structure and robust ability on acquiring high precision forecasting results. But for a long time, parameter calibration has been the major difficulty for the use of API hydrological model. API model develops from the empirical approach. It's more difficult than other hydrological models to achieve the aim of fully automatic parameter calibration without artificial experience processing. In this paper, a method is proposed for enhancing the efficiency of parameter calibration for API hydrological model. In this method, the rainfall-runoff correlation diagram is drawn according to rainfall and flood data and instantaneous unit hydrograph is adopted to calculate the outflow by net rainfall. What's more, an intelligent algorithm is employed for the solution of parameters of API hydrological model. The result shows that the proposed method is efficient on parameter calibration for API hydrological model.