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Software and data for prioritizing irrigation-system upgrades to maximize improvements to agricultural drain-network water quality: A graph-theoretic approach
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Type: | Resource | |
Storage: | The size of this resource is 1.6 MB | |
Created: | Oct 13, 2022 at 5:06 p.m. | |
Last updated: | Mar 15, 2023 at 2:26 p.m. (Metadata update) | |
Published date: | Mar 15, 2023 at 2:07 p.m. | |
DOI: | 10.4211/hs.48ac5195261845d9827146393be0453b | |
Citation: | See how to cite this resource |
Sharing Status: | Published |
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Views: | 743 |
Downloads: | 55 |
+1 Votes: | Be the first one to this. |
Comments: | No comments (yet) |
Abstract
This dataset and software are associated Harp, Dylan R., Anthony S. Orlando, Elliot Hohn, Aditya Sood, Tommy Franzen, Maddee Rubenson, David L. Atchison et al. "Prioritizing irrigation‐system upgrades to maximize improvements to agricultural drain‐network water quality: A graph‐theoretic approach." Water Resources Research: e2022WR033285.doi: 10.1029/2022WR033285.
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Reference | This dataset and software are associated with the following article: Harp, Dylan R., Anthony S. Orlando, Elliot Hohn, Aditya Sood, Tommy Franzen, Maddee Rubenson, David L. Atchison et al. "Prioritizing irrigation‐system upgrades to maximize improvements to agricultural drain‐network water quality: A graph‐theoretic approach." Water Resources Research: e2022WR033285.doi: 10.1029/2022WR033285. |
Credits
Funding Agencies
This resource was created using funding from the following sources:
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Idaho Power Company |
How to Cite
This resource is shared under the Creative Commons Attribution-NoCommercial-NoDerivs CC BY-NC-ND.
http://creativecommons.org/licenses/by-nc-nd/4.0/
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