1 row is stored for this page
| Field | Field type | Value |
|---|
| _creationDate | Datetime | 2024-09-04 3:35:14 PM |
| _modificationDate | Datetime | 2024-11-12 5:49:57 PM |
| _pageID | Integer | 108,276 |
| _pageName | Page | Reference:Reference-024111 |
| _pageTitle | String | Reference-024111
|
| _pageNamespace | Integer | 3,020 |
1 row is stored for this page
| Field | Field type | Allowed values | Value |
|---|
| Firstname | String | | Makhlouf, Ahmed; El-Rawy, Mustafa; Kanae, Shinjiro; Ibrahim, Mona G.; Sharaan, Mahmoud; |
| BibType | String | journalArticle · report · bookSection · webpage · conferencePaper · MISC · thesis · blogpost · preprint | journalArticle |
| Title | String | | Integrating MODFLOW and machine learning for detecting optimum groundwater abstraction considering sustainable drawdown and climate changes |
| Editors | String | | |
| Year | Date | | June 2024 |
| Journal | String | | Journal of Hydrology |
| Booktitle | String | | |
| Volume | String | | 637 |
| Pages | String | | 131428 |
| URL | String | | https://linkinghub.elsevier.com/retrieve/pii/S0022169424008230 |
| DOI | String | | 10.1016/j.jhydrol.2024.131428 |
| ISBN | String | | |
| Note | String | | Auto downloaded ref at: 2024-09-04 |
1 row is stored for this page
| Field | Field type | Value |
|---|
| PublicationMultipleModelsCargo | String | MODFLOW |
1 row is stored for this page
| Field | Field type | Allowed values | Value |
|---|
| GroupSitesHighlight | String | Yes · No | |
| CSDMSGroups | String | Terrestrial Working Group · Coastal Working Group · Marine Working Group · Education and Knowledge Transfer (EKT) Working Group · Cyberinformatics and Numerics Working Group · Hydrology Focus Research Group · Chesapeake Focus Research Group · Critical Zone Focus Research Group · Human Dimensions Focus Research Group · Geodynamics Focus Research Group · Ecosystem Dynamics Focus Research Group · Coastal Vulnerability Initiative · Continental Margin Initiative · Artificial Intelligence & Machine Learning Initiative · Modeling Platform Interoperability Initiative · River Network Modeling Initiative | |
| FeatureRef | String | Yes · No | No |
| PublicationClusterID | String | | 0 |
| MS_PublicationClusterID | String | | 0 |
| Semantic_ID | String | | e285c4c7001d58590ec98440f36ef2ae781e74b7 |
| PublicationCitationsNr | String | | 0 |
| PublicationWhatKindOf | String | a module overview describing a module · a module application description · module related theory · reference to source code · none of the above | a module application description |
| PublicationNrofModels | String | a single module · coupled modules · multiple modules that are not coupled · none of the above | a single module |
| PublicationHPCCYesno | String | Yes · No | No |
| PublicationHPCCprojectCargo | String | | |
| PublicationAnimationsCargo | String | | |
