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| Type: | Resource | |
| Storage: | The size of this resource is 1.7 GB | |
| Created: | Jun 02, 2021 at 2:33 p.m. (UTC) | |
| Last updated: | Aug 23, 2021 at 11:03 p.m. (UTC) | |
| Citation: | See how to cite this resource | |
| Content types: | Single File Content |
| Sharing Status: | Public |
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| Views: | 3371 |
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Abstract
Two model calibration strategies using the U-NSGA-III evolutionary multi-objective optimization algorithm and the Soil and Water Assessment Tool (SWAT) were implemented to improve the representation of ecologically relevant hydrologic indices in an agriculture-dominated watershed in Michigan, US. Here we provide the U-NSGA-III optimization algorithm outcomes obtained under each strategy. These outcomes include Pareto-optimal solutions and all the evaluated objective functions, model parameters, and simulations for each algorithm generation.
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Related Resources
| The content of this resource was created by a related App or software program | https://github.com/jshernandezs/swat-pytools |
| This resource is referenced by | https://doi.org/10.1016/j.envsoft.2021.105161 |
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
|---|---|---|
| USDA | None | Hatch project 1019654 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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