Models for recession flows in the upper Blue Nile River
Models for recession flows in the upper Blue Nile River
复制标题
青尼罗河上游衰退水流模型
DOI：
10.1002/hyp.1322
复制
发表时间：
2004
影响因子：
3.2
通讯作者：
A. Abdelhadi
中科院分区：
文献类型：
--
作者：
A. Mishra;T. Hata;A. Abdelhadi
河流径流衰退通常用指数方程或单一线性水库的交替幂形式方程来描述。退潮最常用的量度是退潮常数K，它与线性水库退潮方程的幂函数形式有关。然而，在现实中，可以看到，即使是最简单的含水层的地下水动力学也可能以非线性的方式表现。在这项研究中，考虑了三种不同的蓄流算法：单线性水库、非线性水库和多线性水库来模拟青尼罗河上游的径流退缩。利用最小二乘回归方法求出了线性模型和非线性模型的回归参数。而对于多线性油藏模型，首先采用二阶自回归AR(2)模型，用最小二乘法确定参数。对青尼罗河上游在雨季后不久进行的退流模拟表明，非线性水库模型与观测结果吻合较好。由退水曲线分层得到的非线性水库退水参数与前向流有关的变化仍然很大。虽然相似的层位对线性和多重线性油藏模型的后退参数没有显示出任何系统的变化。版权所有©2004 John Wiley&Sons，Ltd.
Stream‐flow recessions are commonly characterized by the exponential equation or in the alternative power form equation of a single linear reservoir. The most common measure of recession is the recession constant K, which relates to the power function form of the recession equation for a linear reservoir. However, in reality it can be seen that the groundwater dynamics of even the simplest of aquifers may behave in a non‐linear fashion. In this study three different storage–outflow algorithms; single linear, non‐linear and multiple linear reservoir were considered to model the stream‐flow recession of the upper Blue Nile. The recession parameters for the linear and non‐linear models were derived by the use of least‐squares regression procedures. Whereas, for the multiple linear reservoir model, a second‐order autoregressive AR (2) model was applied first in order to determine the parameters by the least‐squares method. The modelling of the upper Blue Nile recession flow performed shortly after the wet season, when interflow and bank storage may be contributing considerably to the river flow, showed that the non‐linear reservoir model simulates well with the observed counterparts. The variation related to preceding flow on a recession parameter of the non‐linear reservoir remains significant, which was obtained by stratification of the recession curves. Although a similar stratification did not show any systematic variation on the recession parameters for the linear and multiple linear reservoir models. Copyright © 2004 John Wiley & Sons, Ltd.