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Uncertainty Analysis of the Tracer-Based Hydrograph Separation Method

机译:基于示踪剂的水文分离方法的不确定性分析

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Tracer-based hydrograph separation relying on the mass balance equations of water and isotopic compositions is very appealing and widely used in basin hydrology, due to its simplicity. However, much uncertainty of this method is presented in practical applications, which is mainly affected by model assumptions. In this paper, theoretical analysis is conducted to test the reality of some fundamental assumptions involved in isotopic hydrograph separation method. The results indicate that soil water plays an important role in stormflow generation, and the previous assumption that contributions from soil water are negligible in hydrograph separation seems to be unrealistic. It shows that the bigger the contribution rate of soil water is, or the greater the difference of the isotopic compositions of soil water and base flow is, and thus the bigger the estimated error of the proportion of pre-event water is. Finally, some feasible suggestions are put forward to improve the application of the isotopic hydrograph separation method.
机译:依赖于水和同位素组成的质量平衡方程的基于示踪剂的水文图分离技术非常吸引人,并且由于其简单性而在流域水文学中得到了广泛的应用。然而,该方法在实际应用中存在很多不确定性,这主要受模型假设的影响。在本文中,进行了理论分析,以检验同位素水位图分离方法所涉及的一些基本假设的真实性。结果表明,土壤水在暴雨流的产生中起着重要作用,而以前的假设认为水位图分离中土壤水的贡献可以忽略不计。结果表明,土壤水的贡献率越大,或者土壤水与基流的同位素组成之差越大,因此事前水比例的估计误差越大。最后,提出了一些可行的建议,以改善同位素水位图分离方法的应用。

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