Reference:Reference-022729: Difference between revisions

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|Year=2024-07-24
|Year=2024-07-24
|Journal=Environmental Science and Pollution Research
|Journal=Environmental Science and Pollution Research
|Booktitle=None
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|Volume=31
|Volume=31
|Pages=49116–49140
|Pages=49116–49140
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Latest revision as of 11:47, 12 November 2024



Author(s) Jodar-Abellan, Antonio; Pardo, Miguel Ángel; Asadollah, Seyed Babak Haji Seyed; Bailey, Ryan T.;
BibType journalArticle
Title Assessing current and future available resources to supply urban water demands using a high-resolution SWAT model coupled with recurrent neural networks and validated through the SIMPA model in karstic Mediterranean environments
Editors
Year 2024-07-24
Journal Environmental Science and Pollution Research
Booktitle
Volume 31
Pages 49116–49140
URL https://link.springer.com/10.1007/s11356-024-34404-5
DOI 10.1007/s11356-024-34404-5
ISBN
Note Auto downloaded ref at: 2024-08-29


 
Feature reference No
PublicationClusterID 0
MS_PublicationClusterID 0
Semantic_ID 263c848edf34f3baf42aaeabcde973fe06255f2e
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