Abstract
For confirming the accuracy of predicted results and validity of modeling of natural phenomenon, the model calibration should be carefully done. Procedure for calibration, however, often executed manually, and it requires long times until obtaining the calculated results which have optimal agreements with the observed dataset.
In this study, adaptive cluster covering method which is one of global optimization technique was applied for the automatic calibration of water quality simulation model, and applicability of this optimization method was discussed. Although the test of model calibration was executed for limited datasets, calibration of water quality simulation model was processed well by this method. The calibrated model considerably simulates the tendency of water quality changes. Accordingly, it can be noted that this optimization method is applicable to automatic calibration of simulation model.
