SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data
| Autor: | Andrew T. Leaf, Howard W. Reeves, Michael N. Fienen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Dependency (UML)
Computer science media_common.quotation_subject Distributed computing MODFLOW String (computer science) Process (computing) Reproducibility of Results Python (programming language) Models Theoretical Water Cycle Conceptual model Water Movements Computers in Earth Sciences Routing (electronic design automation) Methods Note Groundwater model computer Groundwater Water Science and Technology media_common computer.programming_language |
| Zdroj: | Ground Water |
| ISSN: | 1745-6584 0017-467X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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