Reference:Reference-027721: Difference between revisions

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|Year=2024-08
|Year=2024-08
|Journal=Water Environment Research
|Journal=Water Environment Research
|Booktitle=None
|Booktitle=
|Volume=96
|Volume=96
|Pages=None
|Pages=
|URL=https://onlinelibrary.wiley.com/doi/10.1002/wer.11079
|URL=https://onlinelibrary.wiley.com/doi/10.1002/wer.11079
|DOI=10.1002/wer.11079
|DOI=10.1002/wer.11079
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|CorpusID=271692854
|PublicationWhatKindOf=a module application description
|PublicationWhatKindOf=a module application description
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|PublicationNrofModels=a single module
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Latest revision as of 15:02, 12 November 2024



Author(s) Jeong, Dae Seong; Jeong, Heewon; Kim, Jin Hwi; Kim, Joon Ha; Park, Yongeun;
BibType journalArticle
Title A hybrid approach to improvement of watershed water quality modeling by coupling process–based and deep learning models
Editors
Year 2024-08
Journal Water Environment Research
Booktitle
Volume 96
Pages
URL https://onlinelibrary.wiley.com/doi/10.1002/wer.11079
DOI 10.1002/wer.11079
ISBN
Note Auto downloaded ref at: 2024-09-06


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 3902c9fb513aaecf4406004d0321e9f417216358
Nr of citations 0
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