A Numerical Stream Transport Modeling Approach Including Multiple Conceptualizations of Hyporheic Exchange and Spatial Variability to Assess Contaminant Removal
A Numerical Stream Transport Modeling Approach Including Multiple Conceptualizations of Hyporheic Exchange and Spatial Variability to Assess Contaminant Removal
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一种数值流传输建模方法，包括隐交交换和空间变异的多种概念，以评估污染物的去除
DOI：
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发表时间：
2020
影响因子：
5.4
通讯作者：
J. Lewandowski
中科院分区：
文献类型：
--
作者：
J. McCallum;Anja Höhne;J. Schaper;M. Shanafield;E. Banks;M. Posselt;O. Batelaan;J. Lewandowski
了解河流中污染物去除的机制和控制措施对于管理人类和生态系统健康至关重要。潜流带（HZ）在去除河流中的污染物方面起着关键作用。通常，示踪剂测试与化合物的测量一起实施，以评估流中污染物的去除率。预测的去除率在很大程度上依赖于估计的潜流停留时间，因此，所选择的概念模型的潜流交换流（HEFs）将影响预测的去除率。尽管如此，在评估污染物去除率时，通常不考虑不同的HEF模型。在本文中，我们提出了一个数值模拟方法来解释示踪剂测试，以确定污染物的去除率，允许多个概念模型的HEF被认为是。我们通过解释来自保守示踪剂测试的数据以及使用两种常用的HEF模型的痕量有机化合物的抓取样品来证明这种方法：一种是假设流和HZ之间的一阶交换，另一种是考虑一阶交换系数的幂律加权。对于测量的三种降解化合物，即脒基脲、缬沙坦和双氯芬酸，我们观察到，与一阶模型相比，幂律模型一致预测了更高的去除率。在HZ估计的去除率之间也观察到变化。我们的研究结果强调了在评估污染物去除率时考虑HEF的多个概念化的重要性。
Understanding the mechanisms and controls on contaminant removal in streams is essential in managing human and ecosystem health. The hyporheic zone (HZ) plays a key role in the removal of contaminants from streams. Often, tracer tests are implemented in conjunction with measurements of compounds to assess the removal rates of contaminants in streams. The predicted removal rates largely rely on the estimated hyporheic residence time, and hence, the chosen conceptual model of hyporheic exchange flows (HEFs) will influence the predicted removal rate. Despite this, different HEF models are generally not considered when assessing contaminant removal rates. In this paper, we present a numerical modeling approach for interpreting tracer tests to determine contaminant removal rates that allows for multiple conceptual models of HEF to be considered. We demonstrate this method by interpreting data from a conservative tracer test in conjunction with grab samples of trace organic compounds using two commonly used models of HEF: one that assumes first‐order exchange between the stream and the HZ and one that considers a power law weighting of first‐order exchange coefficients. For the three degrading compounds measured, guanylurea, valsartan, and diclofenac, we observed that the power law model consistently predicted higher removal rates in the stream compared to the first‐order model. Variations were also observed between the removal rates estimated in the HZ. Our results highlight the importance of considering multiple conceptualizations of the HEF when assessing contaminant removal rates.
模拟不同基质的无阴影溪流中底栖与潜流养分吸收
DOI：
10.1029/2018jg004684
发表时间：
2019
期刊：
Journal of Geophysical Research: Biogeosciences
影响因子：
--
作者：
Roche, Kevin R.;Shogren, Arial J.;Aubeneau, Antoine;Tank, Jennifer L.;Bolster, Diogo
通讯作者：
Bolster, Diogo
影响因子：
9.8
作者：
Guillet, Gaeelle;Knapp, Julia L. A.;Schwientek, Marc
通讯作者：
Schwientek, Marc