期刊文献+

新安江模型函数曲面参数率定方法在水吉流域的应用 被引量:2

Xinanjiang Model Calibration Based on Parameter Function Surface in Shuiji Basin
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摘要 对新安江模型进行了简要介绍,对函数曲面参数率定方法的基本原理和率定过程进行了详细阐述。在水吉流域,运用函数曲面参数率定方法对新安江模型的5个敏感参数进行率定,在实际应用中检验方法有效性。结果显示,在理想模型和实际模型中,该方法都能稳定率定得到优值。所以,该方法是一种很有效的新安江模型参数率定方法。 The Xinanjiang runoff model is briefly introduced, and the parameter estimation method based on parameter Junction sur face is described and analyzed. The method is applied to calibrate the Xinanjiang runoff model in Shuiii basin. Both for the ideal mod el and the actual model, the stable and best value of model parameters can be obtained. The results show that the parameter estima tion method based on parameter function surface is not influenced by the different initial value of parameters and has global conver gence, high precision and efficiency. The method is proved to be an effective parameter estimation method by the application.
出处 《节水灌溉》 北大核心 2013年第12期48-51,共4页 Water Saving Irrigation
基金 国家自然科学基金(51279057) 国家自然科学基金重大项目(51190090 51190091) 中央高校基础研究基金(B1020062/B1020072) 中国国家重点实验室专项基金(2009586412 2009585412) 中央高校基本科研业务费专项资金(2012B00214)
关键词 新安江模型 参数率定 函数曲面参数率定方法 Xinanjiang runoff model calibration parameter parameter estimation method based on parameter {unction surface
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  • 1包为民,林跃,黄贤庆,瞿思敏,赵超.水库入库河段洪水汇流参数抗差估计研究[J].武汉大学学报(工学版),2004,37(6):13-16. 被引量:7
  • 2Gupta H V, Sorooshian S, Duan Q. Calibration ofrainfall-run models:application of the global optimiza- tion to the Sacramento soil moisture accounting model [J]. Water Resources Research, 1998,34 (4) : 1015- 1030.
  • 3Wagener T, Werkhoven K V, Reed P, et al. Multi- objective sensitivity analysis to understand the infor- mation concert in stream flow observations for dis- tributed watershed modeling [J]. Water Resource Research ,2009,45(2) :1-5.
  • 4Zador J, Zsely I G, Turanyi T. Local and global uncer- tainty analysis of complex chemical kinetic systems [J]. Reliability Engineering System Safety, 2006,91 (10-11) : 1232-1240.
  • 5Bardossy A, Singh K. Robust estimation of hydrolo- gical model parameters [J]. Hydrology and Earth System Science, 2008 ,$(3) : 1641-1675.
  • 6Francos A. Sensitivity analysis of distributed environ- mental simulation models: understanding the model behavior in hydrological studies at the catchments scale[J]. Reliability Engineering and System Safety, 2003,79 (2) : 205-218.
  • 7Hogue T S, Sorooshian S, Gupta H, eta]. A multi- step automatic calibration scheme for river forecasting models[J]. Journal of Hydrometeorology, 2000, 1(6) ..524-542.
  • 8包为民.具有有色噪声的模型参数估计[J].水利学报,1991,23(12):47-52. 被引量:12

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