| Title: | Hydro-environmental runoff projection under GCM Scenario downscaled by artificial neural network in the Namgang Dam watershed, Korea |
| Authors: | Kang, B., Y.D. Kim, J.M. Lee and S.J. Kim |
| Year: | 2015 |
| Journal: | KSCE Journal of Civil Engineering |
| Volume (Issue): | 19(2) |
| Pages: | 434-445 |
| Article ID: | |
| DOI: | 10.1007/s12205-015-0580-0 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic and pollutant |
| Primary Application Category: | climate change |
| Secondary Application Category: | pollutant cycling/loss and transport |
| Watershed Description: | 3,467.52 km^2 Nam River, a tributary of the Nakdong River located in southern South Korea |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | climate change, namgang dam, SWAT, GCM scenario, artificial neural network |