SWAT Literature Database for Peer-Reviewed Journal Articles

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:19(2) 
Pages:434-445 
Article ID: 
DOI:10.1007/s12205-015-0580-0 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic & 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