水文模型参数多目标优化率定及目标函数组合对优化结果的影响

针对水文模型多目标优化中目标函数组合难以合理构造与选取的难题,基于多目标智能优化算法的优化结果,提出了一种简便的不同目标组合优化结果性能比较方法,并以一种日径流预报模型为实例,构造了3组目标函数组合,采用经典多目标优化算法NSGA-II优化率定模型参数,在模型参数优化率定结果的基础上,应用作者提出的目标组合优化结果比较...

Study on Multi-objective Calibration of Hydrological Model and Effect of Objective Functions Combination on Optimization Results

When the parameter optimization of hydrological models is done under the framework of multiobjective, how to select or construct proper combination of objective functions is one of the most important issues. To solve this problem, one simple and convenient method for comparison of the influence of different objective functions combinations on the optimizations results, which were obtained by multi-objective evolutionary algorithms, was proposed in this paper. A hydrological model for daily streamflow forecasting was taken as an example. Three objective functions combinations were constructed, and the multiobjective algorithm NSGA-II was employed to optimize the hydrological model. Based on the optimization results, the proposed method was applied to analysis the performance of model calibration with different combinations of objective functions. It was also expected to find a combination of objective functions which can well balance different objective functions. The results show that the proposed method is effective to analysis the performance of different combinations of objective functions, could provide more comprehensive evidence for decision making in hydrological forecasting, and has good prospects in practical engineering.