Reference:Reference-024111

From CSDMS
Revision as of 08:35, 4 September 2024 by WikiSysop (talk | contribs) (Created page with "{{CSDMS reference template cargo |DOIentry=10.1016/j.jhydrol.2024.131428 }} {{RefsInt1 |FeatureRef=No |PublicationClusterID=0 |MS_PublicationClusterID=0 |Semantic_ID=e285c4c7001d58590ec98440f36ef2ae781e74b7 |PublicationWhatKindOf=a module application description |PublicationHPCCYesno=No |PublicationNrofModels=a single module }} {{RefsInt2 |PublicationMultipleModelsCargo=MODFLOW }} {{RefsInt3}}")
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)



Name Makhlouf, Ahmed
Name El-Rawy, Mustafa
Name Kanae, Shinjiro
Name Ibrahim, Mona G.
Name Sharaan, Mahmoud
Kind of article journalArticle
Title Integrating MODFLOW and machine learning for detecting optimum groundwater abstraction considering sustainable drawdown and climate changes
Publication title Journal of Hydrology
Book title
Journal Abbreviation
Volume 637
Issue
URL https://linkinghub.elsevier.com/retrieve/pii/S0022169424008230
DOI 10.1016/j.jhydrol.2024.131428
Page numbers 131428
Publication date 2024-06
Access date 2024-11-13


 
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:


Model(s) discussed: MODFLOW