Fuzzy multi-objective function for rainfall-runoff model calibration

摘要: Continuous rainfall-runoff modeling is essential to simulate the relationship in water resource projects. The performance of a model heavily depends on suitable choice parameters, which are normally calibrated by using an objective function. This study presents fuzzy multi-objective function (FMOF) improve conventional functions, such as root mean square error (RMSE) and absolute percent (MPE). Daily rainfall flow discharge measurements, well monthly evaporation estimates used calibrate verify model, over 9-year 4-year period, respectively. with RMSE MPE functions tends match high low periods, FMOF leads improved simulation wide range stages it can combine various different acceptable levels. method suggested herein shown be more appropriate for basins extremely heterogeneous temporal distribution.