PARAMETER OPTIMIZATION FOR HYDROLOGICAL FORECASTING MODEL PILOTING FOR BAN VE RESERVOIR

Abstract

In hydrological models, it is necessary to correct parameters for each basin which depends on the experience of the researcher. In this paper, some near-optimal detection methods to find the suitable set of parameters were tested. Commercial model MIKE 11 - NAM, HEC-HMS and self-developed model ImechTV2 are used to calculate for Ban Ve lake basin. On the basis of the calibration parameters in the flood of 2018, the flood of 2021 data is used for verification and received good results. Although the detection time of the ImechTV2 distributed hydrological model is large, the NSE index shows it is better computational efficiency than the MIKE 11 - NAM and HEC-HMS hydrological models.