A recipe to generate sustainably maintainable and extensible hydrogeological datasets to prepare large-scale groundwater models for multiple aquifer systems

IF 2.1 3区 地球科学 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Christian Siebert, Tino Rödiger, Timo Houben, Mariaines diDato, Thomas Fischer, Sabine Attinger, Thomas Kalbacher
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引用次数: 0

Abstract

Regional groundwater modelling can provide decision-makers and scientists with valuable information required for the sustainable use and protection of groundwater resources in the future. In order to assess and manage the impact of climate change on regional aquifer systems, numerical groundwater models are required which represent the subsurface structures of aquifers and aquitards in 3D at the regional scale and beyond in the most efficient way. A workflow to clearly generate these structural subsurface representations from a variety of data sources is introduced, applying open-source Geographical Information Systems. The resulting structural models can be used with finite element method-based simulation tools, such as the open-source environment OpenGeoSys. The preparation workflow of the structure model is presented for a large river basin in Germany, indicating the applicability of the method even in a challenging hydrogeological region with several stockworks of dipped and fractured sedimentary aquifers, partially showing significantly changing hydraulic conditions due to natural lateral facies changes.

生成可持续维护和可扩展的水文地质数据集,为多个含水层系统编制大规模地下水模型的秘诀
区域地下水模型可以为决策者和科学家提供未来可持续利用和保护地下水资源所需的宝贵信息。为了评估和管理气候变化对区域含水层系统的影响,需要建立地下水数值模型,以最有效的方式在区域范围内外以三维方式表示含水层和含水层的地下结构。本文介绍了一个工作流程,通过应用开源地理信息系统,从各种数据源清晰地生成这些地下结构表征。生成的结构模型可用于基于有限元法的模拟工具,如开源环境 OpenGeoSys。介绍了德国一个大型流域的结构模型准备工作流程,表明该方法即使在具有挑战性的水文地质区域也适用,该区域有多个倾斜和断裂沉积含水层的堆积层,由于自然侧向面的变化,部分堆积层显示出显著变化的水力条件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computational Geosciences
Computational Geosciences 地学-地球科学综合
CiteScore
6.10
自引率
4.00%
发文量
63
审稿时长
6-12 weeks
期刊介绍: Computational Geosciences publishes high quality papers on mathematical modeling, simulation, numerical analysis, and other computational aspects of the geosciences. In particular the journal is focused on advanced numerical methods for the simulation of subsurface flow and transport, and associated aspects such as discretization, gridding, upscaling, optimization, data assimilation, uncertainty assessment, and high performance parallel and grid computing. Papers treating similar topics but with applications to other fields in the geosciences, such as geomechanics, geophysics, oceanography, or meteorology, will also be considered. The journal provides a platform for interaction and multidisciplinary collaboration among diverse scientific groups, from both academia and industry, which share an interest in developing mathematical models and efficient algorithms for solving them, such as mathematicians, engineers, chemists, physicists, and geoscientists.
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