王广德, K. M 阿科纳, 章上游. 用相关函数优化法计算离散线性水文模型参数[J]. 水科学进展, 1991, 2(2): 113-119.
引用本文: 王广德, K. M 阿科纳, 章上游. 用相关函数优化法计算离散线性水文模型参数[J]. 水科学进展, 1991, 2(2): 113-119.
Wang Guangde, O. connor Kieran M., Zhang Shangyou. An Auto/cross Covariance Approach for Parameter Estimation of the Discrete Linear Transfer Function Model[J]. Advances in Water Science, 1991, 2(2): 113-119.
Citation: Wang Guangde, O. connor Kieran M., Zhang Shangyou. An Auto/cross Covariance Approach for Parameter Estimation of the Discrete Linear Transfer Function Model[J]. Advances in Water Science, 1991, 2(2): 113-119.

用相关函数优化法计算离散线性水文模型参数

An Auto/cross Covariance Approach for Parameter Estimation of the Discrete Linear Transfer Function Model

  • 摘要: 借助于日降雨和出流资料系列,采用相关函数优化方法确定离散线性水文模型参数是一种新的方法.文中选用4个流域8年日降雨和径流资料系列来检验相关函数优化法(6年作为率定期,2年作为验证期),所得结果与常规最小二乘法计算的结果进行比较表明:新方法计算精度比常规最小二乘法计算的精度有所提高,常规最小二乘法仅是相关函数优化法的一种特例.

     

    Abstract: An auto/cross covariance approach for parameter estimation of the discrete linear transfer function model is a new method.The daily rainfall and runoff data series on four catchments are chosen to examine the new method(4 years rainfall and runoff data series for calibration periods and 2 years for the verification periods).The comparison between the results from the new method and coven. licnal ordinary least squares method shows that the accuracy of the new method is better than those of the conventional least squares method and the latter is a special case of the former.

     

/

返回文章
返回