A physically based filter for separating base flow from streamflow time series
A physically based filter for separating base flow from streamflow time series
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DOI：
10.1029/2001wr000243
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发表时间：
2001-11
影响因子：
5.4
通讯作者：
P. Furey;V. Gupta
中科院分区：
文献类型：
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作者：
P. Furey;V. Gupta
从希尔赛德基流的质量平衡方程出发，导出了流域基流与径流分离的滤子。与其他现有的过滤器不同，该过滤器在流量衰退和上升期间都是基于物理的，并且其中的每个参数都具有明确的物理意义。与其他基流分离方法不同，该滤波器无需任何校准或约束即可应用。然而，使用两个标准作为滤波器性能的度量，它的性能与需要校准的两个现有滤波器一样好或更好。使用相同的两个标准，在过滤器中的弱点被确定，并主要归因于两个参数的比率，这两个参数与地下水补给和地表径流有关。这一比例估计使用降水和径流数据，其估计是不准确的，因为降水数据的空间分辨率差。此外，这个比率被假定为在时间上是恒定的，然而，在物理基础上，它应该被视为一个依赖于时间的量。
A filter for separating base flow from streamflow in a river basin is derived from a mass balance equation for base flow from a hillside. Unlike other existing filters, this filter is physically based both during streamflow recession and rise, and each of the parameters in it has a well‐defined physical meaning. Unlike other approaches to base flow separation, the filter is applied without any calibration or constraints. Yet, using two criteria as measures of filter performance, it performs as well as or better than two existing filters that require calibration. Using the same two criteria, weaknesses in the filter are identified and attributed mainly to a ratio of two parameters that are related to groundwater recharge and overland flow. This ratio is estimated using precipitation and streamflow data, and its estimate is conjectured to be inaccurate because of the poor spatial resolution of the precipitation data. Moreover, this ratio is assumed to be constant in time, yet, on physical grounds, it should be treated as a time‐dependent quantity.