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Comparison of different base flow separation methods in a semiarid watershed (case study: Khorramabad watershed, Iran)

机译:半干旱流域中不同基流分离方法的比较(案例研究:伊朗霍拉马巴德流域)

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Base flow separation to identify groundwater contribution in river flow is important, and is one of the basic studies in hydro-logical science. Base flow separation approaches are important for determination of 0 index to calculate rainfall excess and rainfall losses in a watershed, unit hydrograph, and also estimating groundwater recharge. In this study, 15 base flow separation methods were used in "Chamanjir" outlet of Khorramabad watershed in Iran, and the results were compared with Recession Curve method as the base method. The results showed that most of these methods were significantly different at 95% confidence level. The results of comparing different methods' efficiency also revealed that sliding interval method, considered 91.6% of the river discharge as base flow, which was the highest value among all methods. Furthermore, this method with the lowest mean square error and the lowest absolute error was selected as the best method for Khorramabad watershed. Comparison of different methods' results showed that there are differences between the base flow separations in different ways. Eckhardet algorithm or two parameters algorithm with α = 0.925 due to considering the hydrological characteristics of the stream and watershed, and for its lower error, can be used as the best method of base flow separation in next studies in the study area. Moreover, based on the results, the highest fraction of runoff is related to the base flow in this watershed. The results of this study can be appropriate to determine the fraction of the groundwater discharged to the river flow, and also can be used for the drought studies.
机译:进行基流分离以识别地下水在河流中的贡献很重要,并且是水文科学的基础研究之一。基流分离方法对于确定0指数以计算流域,单位水位图中的降雨过多和降雨损失以及估算地下水补给量非常重要。在这项研究中,在伊朗Khorramabad流域的“ Chamanjir”出口使用了15种基本流分离方法,并将结果与​​以“衰退曲线”法为基础的方法进行了比较。结果表明,这些方法大多数在置信度为95%时显着不同。比较不同方法的效率的结果还显示,滑动间隔法以河流流量的91.6%为基流,是所有方法中的最高值。此外,选择具有最低均方误差和最低绝对误差的方法作为Khorramabad流域的最佳方法。不同方法结果的比较表明,基本流分离之间以不同方式存在差异。考虑到河流和流域的水文特性以及较低的误差,Eckhardet算法或α= 0.925的两个参数算法可以用作研究区域中下一步基础流分离的最佳方法。此外,根据结果,径流的最大部分与该流域的基础流量有关。这项研究的结果可能适合确定排放到河水中的地下水比例,也可用于干旱研究。

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