Abstract
This paper illustrates parameter identification examples of the distributed runoff model. Parameter optimization tool Colleo, Collection of parameter Optimization software, is developed to aid to exploit 74 different implementations of optimization algorithms by the same employing interface. Applying Colleo to 15 flood events of Gokase river in Miyazaki, the results are achieved as follows. (1) Colleo can find good parameter values to each flood event to reproduce the measured discharge. (2) 13 optimization implementations are specified to be suitable for the distributed runoff model. (3) Important parameters are investigated to improve the fitting by the regression tree analysis. (4) It turns out difficult to calculate the accurate discharge of all the 15 flood events with one set of parameter values. (5) Colleo outperforms SCE-UA optimization algorithm in the limited number of optimization iterations.
