Calibration and verification of a hydrological model using event data

Abstract

The topic of calibration and verification of rainfall-runoff model has been subject of many researches. However, most of the researches using the continuous data for this task, while in the conditions of Vietnam, it is difficult to collect the sub-day continuous data. This leads t o the need for methods that can calibrate and verify the model parameters from the event data. This paper introduces such a method. Idea of the method is to combine the auto-calibration and trial-and-error methods. Auto-calibration is executed to l ocate the optima sets of parameters for individual storm event by using the shuffled complex evolution algorithm. Then, the trial-and-error method will attempt to find the most suitable paramet ers for all of the events in the ranges defined by the parameters in the auto-calibration step. The method was applied to calibrate and verify MIKE-NAM model parameters with the case study of Ben Hai river basin. Because the searching space of paramet ers is narrowed, it is much easi er and quick to find the best overall parameters than the traditional trial-and-error method. Keywords: Rainfall-runoff, event data, auto- calibratio