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.
Citation Information
| Publication Year | 2021 |
|---|---|
| Title | SFRmaker and Linesink-Maker: Rapid construction of streamflow routing networks from hydrography data |
| DOI | 10.1111/gwat.13095 |
| Authors | Andrew T. Leaf, Michael N. Fienen, Howard W. Reeves |
| Publication Type | Article |
| Publication Subtype | Journal Article |
| Series Title | Groundwater |
| Index ID | 70224589 |
| Record Source | USGS Publications Warehouse |
| USGS Organization | Michigan Water Science Center; New York Water Science Center; Upper Midwest Water Science Center |