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Parallel computing simulation of fluid flow in the unsaturated zone of Yucca Mountain, Nevada

机译:内华达州尤卡山非饱和带流体流动的并行计算模拟

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This paper presents the application of parallel computing techniques to large-scale modeling of fluid flow in the unsaturated zone (UZ) at Yucca Mountain, Nevada. In this study, parallel computing techniques, as implemented into the TOUGH2 code, are applied in large-scale numerical simulations on a distributed-memory parallel computer. The modeling study has been conducted using an over-1 -million-cell three-dimensional numerical model, which incorporates a wide variety of field data for the highly heterogeneous fractured formation at Yucca Mountain. The objective of this study is to analyze the impact of various surface infiltration scenarios (under current and possible future climates) on flow through the UZ system, using various hydrogeological conceptual models with refined grids. The results indicate that the 1-million-cell models produce better resolution results and reveal some flow patterns that cannot be obtained using coarse-grid modeling models.
机译:本文介绍了并行计算技术在内华达州尤卡山非饱和带(UZ)流体流动大规模建模中的应用。在这项研究中,在TOUGH2代码中实现的并行计算技术被应用在分布式内存并行计算机上的大规模数值模拟中。该建模研究是使用一个超过100万个单元的三维数值模型进行的,该模型包含了尤卡山高度异质裂缝地层的各种现场数据。这项研究的目的是使用各种带有精炼网格的水文地质概念模型来分析各种地表入渗情景(在当前和未来可能的气候条件下)对通过UZ系统的流量的影响。结果表明,一百万个单元的模型产生了更好的分辨率结果,并揭示了使用粗网格建模模型无法获得的某些流动模式。

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