Reference:Reference-022729: Difference between revisions

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|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
|Year=2024-07-24
|Journal=Environmental Science and Pollution Research
|Booktitle=None
|Volume=31
|Pages=49116–49140
|URL=https://link.springer.com/10.1007/s11356-024-34404-5
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Revision as of 16:05, 30 August 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 None
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


 
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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