Reference:Reference-019537
From CSDMS
Publication information
| 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 |
| Year | 2022-06 |
| Journal | Groundwater Monitoring & Remediation |
| Volume | 42 |
| Pages | 23–29 |
| URL | https://onlinelibrary.wiley.com/doi/10.1111/gwmr.12539 |
| DOI | 10.1111/gwmr.12539 |
| Note | Auto downloaded ref at: 2022-10-05 |
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 | 1f9c1de5b6b0be4ad023e18ac7628e72cf612429 | |
| Nr of citations | 1 | |
| 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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