Reference:Reference-019537: Difference between revisions

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|Firstname=Horst, John; Burnell, Shawn; Stuetzle, Robert J.; Austrins, Leanne Murdie; Schanze, Denny;
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|Title=The Accelerating Importance of Data Science in Remediation
|Year=2022-06
|Journal=Groundwater Monitoring & Remediation
|Booktitle=None
|Volume=42
|Pages=23–29
|URL=https://onlinelibrary.wiley.com/doi/10.1111/gwmr.12539
|DOI=10.1111/gwmr.12539
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Revision as of 23:10, 5 October 2022



Author(s) Horst, John; Burnell, Shawn; Stuetzle, Robert J.; Austrins, Leanne Murdie; Schanze, Denny;
BibType journalArticle
Title The Accelerating Importance of Data Science in Remediation
Editors
Year 2022-06
Journal Groundwater Monitoring & Remediation
Booktitle None
Volume 42
Pages 23–29
URL https://onlinelibrary.wiley.com/doi/10.1111/gwmr.12539
DOI 10.1111/gwmr.12539
ISBN
Note Auto downloaded ref at: 2022-10-05


 
Feature reference No
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MS_PublicationClusterID 0
Semantic_ID 1f9c1de5b6b0be4ad023e18ac7628e72cf612429
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