Reference:Reference-024111
From CSDMS
Author(s) | Makhlouf, Ahmed; El-Rawy, Mustafa; Kanae, Shinjiro; Ibrahim, Mona G.; Sharaan, Mahmoud; |
BibType | journalArticle |
Title | Integrating MODFLOW and machine learning for detecting optimum groundwater abstraction considering sustainable drawdown and climate changes |
Editors | |
Year | 2024-06 |
Journal | Journal of Hydrology |
Booktitle | None |
Volume | 637 |
Pages | 131428 |
URL | https://linkinghub.elsevier.com/retrieve/pii/S0022169424008230 |
DOI | 10.1016/j.jhydrol.2024.131428 |
ISBN | |
Note | Auto downloaded ref at: 2024-09-04
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Feature reference | No |
PublicationClusterID | 0 |
MS_PublicationClusterID | 0 |
Semantic_ID | e285c4c7001d58590ec98440f36ef2ae781e74b7 |
CorpusID | {{{CorpusID}}} |
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: |
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Model(s) discussed: | MODFLOW
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