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FINIFLUX: An implicit finite element model for quantification of groundwater fluxes and hyporheic exchange in streams and rivers using radon

机译:FINIFLUX:隐式有限元模型,可利用ra定量分析河流和河流中的地下水通量和水交换

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摘要

A quantitative understanding of groundwater-surface water interactions is vital for sustainable management of water quantity and quality. The noble gas radon-222 (Rn) is becoming increasingly used as a sensitive tracer to quantify groundwater discharge to wetlands, lakes, and rivers: a development driven by technical and methodological advances in Rn measurement. However, quantitative interpretation of these data is not trivial, and the methods used to date are based on the simplest solutions to the mass balance equation (e.g., first-order finite difference and inversion). Here we present a new implicit numerical model (FINIFLUX) based on finite elements for quantifying groundwater discharge to streams and rivers using Rn surveys at the reach scale (1-50 km). The model is coupled to a state-of-the-art parameter optimization code Parallel-PEST to iteratively solve the mass balance equation for groundwater discharge and hyporheic exchange. The major benefit of this model is that it is programed to be very simple to use, reduces non-uniqueness, and provides numerically stable estimates of groundwater fluxes and hyporheic residence times from field data. FINIFLUX was tested against an analytical solution and then implemented on two German rivers of differing magnitude, the Salzach (similar to 112 m(3) s(-1)) and the Rote Main (similar to 4 m(3) s(-1)). We show that using previous inversion techniques numerical instability can lead to physically impossible negative values, whereas the new model provides stable positive values for all scenarios. We hope that by making FINIFLUX freely available to the community that Rn might find wider application in quantifying groundwater discharge to streams and rivers and thus assist in a combined management of surface and groundwater systems.
机译:对地下水与地表水相互作用的定量了解对于可持续管理水的数量和质量至关重要。稀有气体ra 222(Rn)越来越多地用作量化地下水向湿地,湖泊和河流排放量的灵敏示踪剂:Rn测量技术和方法的进步推动了这一发展。但是,对这些数据进行定量解释并非易事,迄今为止使用的方法是基于质量平衡方程的最简单解法(例如,一阶有限差分和反演)。在这里,我们介绍了一种基于有限元的新的隐式数值模型(FINIFLUX),用于使用Rn勘测在到达范围(1-50 km)上量化向河流和河流排放的地下水。该模型与最新的参数优化代码Parallel-PEST耦合,以迭代方式求解地下水排泄和水交换的质量平衡方程。该模型的主要优点在于,它的编程使用非常简单,减少了非唯一性,并且可以根据现场数据对地下水通量和流变停留时间提供数值稳定的估计。 FINIFLUX经过分析解决方案测试,然后在两条不同幅度的德国河流上实施,萨尔察赫河(类似于112 m(3)s(-1))和罗特河主管道(类似于4 m(3)s(-1) ))。我们表明,使用以前的反演技术,数值不稳定会导致物理上不可能的负值,而新模型为所有情况提供稳定的正值。我们希望通过向社区免费提供FINIFLUX,Rn可以在量化流向河流和河流的地下水中找到更广泛的应用,从而有助于地表和地下水系统的综合管理。

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  • 来源
    《Water resources research》 |2015年第8期|6776-6786|共11页
  • 作者

    Frei S.; Gilfedder B. S.;

  • 作者单位

    Univ Bayreuth, Dept Hydrol, Bayreuth, Germany;

    Univ Bayreuth, Dept Hydrol, Bayreuth, Germany|Limnol Res Stn, Bayreuth, Germany;

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