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SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data

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 hydrograp...

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Detalles Bibliográficos
Autores principales: Leaf, Andrew T., Fienen, Michael N., Reeves, Howard W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518817/
https://www.ncbi.nlm.nih.gov/pubmed/33745128
http://dx.doi.org/10.1111/gwat.13095
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author Leaf, Andrew T.
Fienen, Michael N.
Reeves, Howard W.
author_facet Leaf, Andrew T.
Fienen, Michael N.
Reeves, Howard W.
author_sort Leaf, Andrew T.
collection PubMed
description 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.
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spelling pubmed-85188172021-10-21 SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data Leaf, Andrew T. Fienen, Michael N. Reeves, Howard W. Ground Water Methods Note/ 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. Blackwell Publishing Ltd 2021-04-08 2021 /pmc/articles/PMC8518817/ /pubmed/33745128 http://dx.doi.org/10.1111/gwat.13095 Text en Published 2021. This article is a U.S. Government work and is in the public domain in the USA. Groundwater published by Wiley Periodicals LLC on behalf of National Ground Water Association. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Note/
Leaf, Andrew T.
Fienen, Michael N.
Reeves, Howard W.
SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data
title SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data
title_full SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data
title_fullStr SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data
title_full_unstemmed SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data
title_short SFRmaker and Linesink‐Maker: Rapid Construction of Streamflow Routing Networks from Hydrography Data
title_sort sfrmaker and linesink‐maker: rapid construction of streamflow routing networks from hydrography data
topic Methods Note/
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518817/
https://www.ncbi.nlm.nih.gov/pubmed/33745128
http://dx.doi.org/10.1111/gwat.13095
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