Daily streamflow analysis based on a two‐scaled gamma pulse model
Daily streamflow analysis based on a two‐scaled gamma pulse model
复制标题
基于双尺度伽玛脉冲模型的日流量分析
DOI：
10.1029/2010wr009286
复制
发表时间：
2010
影响因子：
5.4
通讯作者：
I. Rodríguez‐Iturbe
中科院分区：
文献类型：
--
作者：
R. Muneepeerakul;S. Azaele;G. Botter;A. Rinaldo;I. Rodríguez‐Iturbe
在本文中，我们开发了一个简单的分析方法来推断流域过程的一些属性，从每日径流数据。该方法建立在一个简单的径流模型上，该模型与降雨随机性有关，该模型将径流描述为一系列重叠的伽马分布形脉冲。该方法的关键前提是，复杂的径流过程可以有效地捕捉到简单的河流流量分为两个区域。特别是在这种方法中，伽马脉冲模型分别应用于低流量和高流量状态。我们演示了该方法在五个流域的应用，并表明它能够捕获至少两个重要的流量统计特性，即概率密度函数和自相关函数的广泛的值（即，从低流量到大流量和时滞）。
In this paper, we develop a simple analysis method to infer some properties of the watershed processes from daily streamflow data. The method is built on a simple streamflow model with a link to rainfall stochasticity, which characterizes the streamflow as a series of overlapping gamma distribution‐shaped pulses. The key premise of the method is that the complex streamflow processes can be effectively captured by simply dividing streamflow into two regimes. Specifically in this method, the gamma pulse model is applied separately to low‐ and high‐flow regimes. We demonstrate the application of the method to five watersheds and show that it is capable of capturing at least two important statistical properties of streamflow, namely the probability density function and the autocorrelation function for wide ranges of values (i.e., from low to large flows and time lags, respectively).