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Hymod模型参数敏感性分析和多目标优化 被引量:6

Parameter Sensitivity Analysis and Multi-objective Optimization on Hymod Model
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摘要 以汉江上游向家坪水文站以上流域为研究对象,通过对集总式模型Hymod的参数敏感性分析和多目标参数优化,分析了Hymod模型5个主要参数的敏感性特征,体现了该模型描述降雨径流过程特点的全面性,采用多目标遗传优化算法(NSGA-Ⅱ)对模型参数作多目标自动参数优化。结果表明,Hymod模型能较好地描述流域降雨径流过程特征,并能通过参数自动优化得到最优参数并取得理想的验证效果。 Taking the basin located upstream of Xiangjiaping hydrological station in Hanjiang River for an example,parameters sensitivity of the conceptual model Hymod is analyzed and the multi-objective parameter are optimized.The sensitivity analysis of five parameters of Hymod model is conducted to verify the characteristics of rain-runoff process.In addition,the multi-objective optimization algorithm NSGA-Ⅱ is used to calibration model parameters.The result shows that Hymod model performs well in describing the characteristics of rain-runoff process and the model can be calibrated by using optimization algorithm.The validation results are quite satisfactory.
出处 《水电能源科学》 北大核心 2010年第11期15-17,122,共4页 Water Resources and Power
基金 全球环境基金资助项目(TF053183) 国家自然科学基金资助项目(50721006) "十一五"国家科技支撑计划基金资助项目(2006BAB04A07 2008BAB29B08)
关键词 Hymod模型 参数敏感性分析 NSGA-Ⅱ算法 多目标优化 PARETO前沿 Hymod model parameter sensitivity analysis NSGA-Ⅱ algorithm multi-objective optimization Pareto front
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