Reference:Reference-024111
From CSDMS
Publication information
| 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 |
| Year | 2024-06 |
| Journal | Journal of Hydrology |
| Volume | 637 |
| Pages | 131428 |
| URL | https://linkinghub.elsevier.com/retrieve/pii/S0022169424008230 |
| DOI | 10.1016/j.jhydrol.2024.131428 |
| Note | Auto downloaded ref at: 2024-09-04 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
| closed | 2026-08-31 |
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| Highlighted paper on group site | No | |
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| Feature reference | No | |
| Semantic_ID | e285c4c7001d58590ec98440f36ef2ae781e74b7 | |
| Nr of citations | 19 | |
| 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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