Groundwater models have evolved to encompass more aspects of the water cycle, but the incorporation of realistic boundary conditions representing surface water remains time-consuming and error-prone. We present two Python packages that robustly automate this process using readily available hydrography data as the primary input. SFRmaker creates input for the MODFLOW SFR package, while Linesink-maker creates linesink string input for the GFLOW analytic element program. These programs can reduce weeks or even months of manual effort to a few minutes of execution time, and carry the added advantages of reduced potential for error, improved reproducibility and facilitation of step-wise modeling through reduced dependency on a particular conceptual model or discretization. Two real-world examples at the county to multi-state scales are presented.

中文翻译：

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SFRmaker 和 Linesink-Maker：根据水文学数据快速构建水流路由网络

地下水模型已经发展到涵盖水循环的更多方面，但结合代表地表水的实际边界条件仍然耗时且容易出错。我们提出了两个 Python 包，它们使用现成的水文学数据作为主要输入，稳健地自动执行此过程。SFRmaker 为 MODFLOW SFR 包创建输入，而 Linesink-maker 为 GFLOW 分析元素程序创建linesink 字符串输入。这些程序可以将数周甚至数月的手动工作减少到几分钟的执行时间，并具有减少潜在错误、提高可重复性以及通过减少对特定概念模型或离散化的依赖来促进逐步建模等额外优势。介绍了县到多州规模的两个现实例子。