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|Resource type:||Composite Resource|
|Storage:||The size of this resource is 1.7 GB|
|Created:||Jun 02, 2021 at 2:33 p.m.|
|Last updated:|| Aug 23, 2021 at 11:03 p.m.
|Citation:||See how to cite this resource|
|Content types:||Single File Content|
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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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|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|
This resource was created using funding from the following sources:
|Agency Name||Award Title||Award Number|
|USDA||Hatch project 1019654|
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This resource is shared under the Creative Commons Attribution CC BY.http://creativecommons.org/licenses/by/4.0/