冯娇娇,何斌,王国利,梁国华.基于GLUE方法的新安江模型参数不确定性研究[J].水电能源科学,2019,37(1):26-28
基于GLUE方法的新安江模型参数不确定性研究
Research on Parameter Uncertainty Analysis of Xin’anjiang Model Based on GLUE Method
  
DOI:
中文关键词:  多目标GLUE方法  不确定性  模型参数  洪水预报
英文关键词:multi-objective GLUE method  uncertainty  model parameters  flood forecast
基金项目:国家重点研发计划(2016YFC0400903);国家自然科学基金项目(51779030);中央高校基本科研业务费专项资金资助项目(DUT16ZD204)
作者单位
冯娇娇,何斌,王国利,梁国华 大连理工大学 水资源与防洪研究所 辽宁 大连 116023 
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中文摘要:
      由于流域水文模型本身参数众多且相互制约,参数优选是一项十分复杂的工作。针对水文模型参数初始优化范围广、优化耗时长、精度不够且优选过程中易陷入局部优化的问题,采用多目标GLUE方法分析新安江模型中较敏感参数的不确定性,确定了其后验分布范围。在此基础上,以龙湾流域12场洪水为例,相同条件下分别在模型参数先验分布和后验分布范围内对参数进行优化率定。结果表明,取后验分布范围作为参数优选范围提高了参数率定效率,提升了模型预报整体性能和预报精度,可为缺资料地区参数识别和参数移植提供参考。
英文摘要:
      The parameter optimization is a very complicated task because of many parameters and their mutual constraints of the hydrological model of the basin. In order to solve the problem of large initial optimization range of hydrological model parameters, long optimization time, lack of precision and prone to local extremum in optimization process, a multi-objective GLUE method was used to analyze the uncertainty of the sensitive parameters of Xin’Anjiang model and determine the posterior distribution range of the sensitive parameters. Taking the 12-field flood in Longwan River basin as the research object, the parameters were optimized in the prior distribution and the posterior distribution of the model parameters under the same conditions. It shows that the result of using the posterior distribution range is better than that of the parameter selection range, which improves efficiency, and the overall performance and prediction precision of the model prediction. Thus, the research lays the foundation for parameter identification and parameter transplant in the missing data area.
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