Evaluating Subsurface Parameterization to Simulate Hyporheic Exchange: The Steinlach River Test Site
Evaluating Subsurface Parameterization to Simulate Hyporheic Exchange: The Steinlach River Test Site
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评估地下参数化以模拟地下交换：斯坦拉赫河试验场
DOI：
10.1111/gwat.12884
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发表时间：
2019
期刊：
影响因子：
2.6
通讯作者：
W. Nowak
中科院分区：
文献类型：
--
作者：
R. Chow;J. Bennett;Jürnjakob Dugge;T. Wöhling;W. Nowak
潜流交换是河水与地下水的相互作用，难以预测。其中一个最大的贡献预测不确定性的潜流交换已被归因于代表性的非均质地下性能。我们的研究评估了在同质和高度复杂的地下参数结构之间选择时内在（不可约）和认知（可约）模型误差之间的权衡。我们使用完全耦合的地表水-地下水模型对德国西南部的Steinlach河试验场进行建模，以模拟潜流交换并评估过境时间分布的预测误差和不确定性。建立了一个高度参数化的模型，作为“虚拟现实”对待，并用作参考。我们发现，如果参数结构过于简单，它会受到内在模型误差的限制。通过增加区域或异质性来增加地下复杂性，我们可以开始将内在错误转换为认识错误。因此，表示地下的适当详细程度取决于给定建模目标和可用现场数据的固有结构误差的可接受范围。我们发现，一个分带模型是能够再现的渡越时间分布的一个更详细的模型，但只有当地质结构是已知的。内插的异构参数字段（参见试验点）显示了两种误差之间的最佳权衡，表明适用于实际应用。由多点地质统计学（MPS）生成的参数场产生具有最大不确定性的渡越时间分布，然而，这些不确定性可以通过额外的水文地质数据（特别是通量测量）来减少。
Hyporheic exchange is the interaction of river water and groundwater, and is difficult to predict. One of the largest contributions to predictive uncertainty for hyporheic exchange has been attributed to the representation of heterogeneous subsurface properties. Our study evaluates the trade‐offs between intrinsic (irreducible) and epistemic (reducible) model errors when choosing between homogeneous and highly complex subsurface parameter structures. We modeled the Steinlach River Test Site in Southwest Germany using a fully coupled surface water‐groundwater model to simulate hyporheic exchange and to assess the predictive errors and uncertainties of transit time distributions. A highly parameterized model was built, treated as a “virtual reality” and used as a reference. We found that if the parameter structure is too simple, it will be limited by intrinsic model errors. By increasing subsurface complexity through the addition of zones or heterogeneity, we can begin to exchange intrinsic for epistemic errors. Thus, the appropriate level of detail to represent the subsurface depends on the acceptable range of intrinsic structural errors for the given modeling objectives and the available site data. We found that a zonated model is capable of reproducing the transit time distributions of a more detailed model, but only if the geological structures are known. An interpolated heterogeneous parameter field (cf. pilot points) showed the best trade‐offs between the two errors, indicating fitness for practical applications. Parameter fields generated by multiple‐point geostatistics (MPS) produce transit time distributions with the largest uncertainties, however, these are reducible by additional hydrogeological data, particularly flux measurements.
影响因子：
5.4
作者：
Leube, P. C.;Geiges, A.;Nowak, W.
通讯作者：
Nowak, W.
“解开水流停留时间分布和整个河流” “使用水文过程模型的代谢”
DOI：
10.1016/j.proeng.2016.07.598
发表时间：
2016
期刊：
Procedia Engineering
影响因子：
--
作者：
Altenkirch;Zlatanovic;Woodward;Trauth;Molkenthin
通讯作者：
Molkenthin