Reference:Reference-022736: Difference between revisions

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|Year=2022-12
|Year=2022-12
|Journal=JAWRA Journal of the American Water Resources Association
|Journal=JAWRA Journal of the American Water Resources Association
|Booktitle=None
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|Volume=58
|Volume=58
|Pages=1175–1188
|Pages=1175–1188
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Latest revision as of 11:47, 12 November 2024



Author(s) Jung, Chunggil; Ahn, Sora; Sheng, Zhuping; Ayana, Essayas K.; Srinivasan, Raghavan; Yeganantham, Dhanesh;
BibType journalArticle
Title Evaluate River Water Salinity in a Semi‐Arid Agricultural Watershed by Coupling Ensemble Machine Learning Technique with SWAT Model
Editors
Year 2022-12
Journal JAWRA Journal of the American Water Resources Association
Booktitle
Volume 58
Pages 1175–1188
URL https://onlinelibrary.wiley.com/doi/10.1111/1752-1688.12958
DOI 10.1111/1752-1688.12958
ISBN
Note Auto downloaded ref at: 2024-08-29


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 2699037afb2ff3e151273b0def8ecbeafaeec536
Nr of citations 10
Sort of publication a module application description
Sort of model publication a single module
Is the CSDMS HPC used No
If HPC is used, for what project was it?:
Associated simulation movie if any:


Model(s) discussed: SWAT