Reference:Reference-016430
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Publication information
| Author(s) | Kang, Boosik; Kim, Young Do; Lee, Jong Mun; Kim, Seong Joon; |
| BibType | journalArticle |
| Title | Hydro-environmental runoff projection under GCM scenario downscaled by Artificial Neural Network in the Namgang Dam watershed, Korea |
| Year | 2015-02 |
| Journal | KSCE Journal of Civil Engineering |
| Volume | 19 |
| Pages | 434–445 |
| URL | http://link.springer.com/10.1007/s12205-015-0580-0 |
| DOI | 10.1007/s12205-015-0580-0 |
| Note | Auto downloaded ref at: 2022-02-18 |
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 | a8bad8a2aa079b680d57bbb44b9316a8e85ed5d8 | |
| Nr of citations | 11 | |
| 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?: | ||
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| Model(s) discussed: | SWAT
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