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Influence of Spatial Scales on the Performance of Saturated Subsurface Flow and Transport Models

机译:空间尺度对饱和地下流动和运输模型性能的影响

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Numerical modeling of saturated subsurface flow and transport has been widely used in the past using different numerical schemes such as finite difference and finite element methods. Such modeling often involves discretization of the problem in spatial and temporal scales. The choice of the spatial and temporal scales for a modeling scenario is often not straightforward. For example, a basin-scale saturated flow and transport analysis demands larger spatial and temporal scales than a meso-scale study, which in turn has larger scales compared to a pore-scale study. The choice of spatial-scale is often dictated by the computational capabilities of the modeler as well as the availability of fine-scale data. In this study, we analyze the impact of different spatial scales and scaling procedures on saturated subsurface flow and transport simulations.
机译:过去使用不同数值方案(例如有限差分和有限元)等不同数值方案广泛使用饱和地下流量和运输的数值模型。这种建模通常涉及空间和时间尺度中的问题的离散化。用于建模方案的空间和时间尺度的选择通常不是很简单的。例如,盆地饱和流和运输分析需要比中间级研究更大的空间和时间尺度,而与孔隙级研究相比,这反过来又具有更大的尺度。空间级的选择通常由建模者的计算能力以及微尺度数据的可用性决定。在这项研究中,我们分析了不同空间尺度和缩放程序对饱和地下流量和运输模拟的影响。

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