1 row is stored for this page
| Field | Field type | Value |
|---|
| _creationDate | Datetime | 2021-01-11 9:30:34 PM |
| _modificationDate | Datetime | 2024-10-09 9:57:18 PM |
| _pageID | Integer | 61,129 |
| _pageName | Page | Reference:Reference-012864 |
| _pageTitle | String | Reference-012864
|
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1 row is stored for this page
| Field | Field type | Allowed values | Value |
|---|
| Firstname | String | | Liu, Wei; Park, Seonggyu; Bailey, Ryan T.; Molina-Navarro, Eugenio; Andersen, Hans Estrup; Thodsen, Hans; Nielsen, Anders; Jeppesen, Erik; Jensen, Jacob Skødt; Jensen, Jacob Birk; Trolle, Dennis; |
| BibType | String | journalArticle · report · bookSection · webpage · conferencePaper · MISC · thesis · blogpost · preprint | journalArticle |
| Title | String | | Quantifying the streamflow response to groundwater abstractions for irrigation or drinking water at catchment scale using SWAT and SWAT–MODFLOW |
| Editors | String | | |
| Year | Date | | 2020-12-01 |
| Journal | String | | Environmental Sciences Europe |
| Booktitle | String | | |
| Volume | String | | 32 |
| Pages | String | | 113 |
| URL | String | | https://enveurope.springeropen.com/articles/10.1186/s12302-020-00395-6 |
| DOI | String | | 10.1186/s12302-020-00395-6 |
| ISBN | String | | |
| Note | String | | Auto downloaded ref at: 2021-01-11 |
1 row is stored for this page
| Field | Field type | Value |
|---|
| PublicationMultipleModelsCargo | String | MODFLOW |
1 row is stored for this page
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| HighLightText | String | | |
| HighLightImage | File | | |
| 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 | | 3083826536 |
| Semantic_ID | String | | fabfe3503677295b64638351471285587feec3cf |
| PublicationCitationsNr | String | | 27 |
| 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 |
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