摘要
详细阐述了水文模型参数多目标自动优化过程,并以此来评估水文模型在率定过程中所体现出来的异参同效性。采用集总式Hymod模型研究海河流域宽城水文站以上流域。在模型参数优化率定过程中涉及到的主要模型参数有:土壤最大持水量,土壤持水量空间分布指数,快、慢速流分水系数以及快、慢速流退水系数。采用了两个对立目标,通过MOSCEM-UA算法的多目标参数优化,可以得到多个目标空间的Pareto解集、径流预测区间和相对应的参数范围。
A detailed hydrological model auto-calibration has been carried out to evaluate the effect of ＂equifinality for different parameters＂ in the calibration process.Hymod Hydrological Model was introduced as a lumped simulation approach with several principal parameters involved to study the upper area of Kuancheng hydrometric station in Haihe basin.The model parameters in calibration include maximum soil water retaining capacity,spatial distribution index of soil moisture,flow division coefficient of slow and quick tanks as well as recession coefficient of slow and quick tanks.Two opposite objectives were adopted to calibrate multi-object parameters by using MOSCEM-UA algorithm,and range of parameters corresponding to Pareto sets,prediction area of runoff and the parameter change area could be concluded through rerunning the model.
出处
《人民长江》
北大核心
2010年第19期95-99,共5页
Yangtze River
基金
全球环境基金(GEF)海河流域水资源与水环境综合管理项目(TF053183)
国家自然科学基金创新研究群体科学基金项目(50721006)
"十一五"国家科技支撑计划项目(2006BAB04A07/2008BAB29B08)
