SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Developing a deep learning model for the simulation of micro-pollutants in a watershed 
Authors:Yun, D., A. Abbas, J. Jeon, M. Ligaray, S.-S. Baek and K.H. Cho 
Year:2021 
Journal:Journal of Cleaner Production 
Volume (Issue):300 
Pages: 
Article ID:126858 
DOI:10.1016/j.jclepro.2021.126858 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:pollutant only 
Primary Application Category:model comparison 
Secondary Application Category:pesticide fate and transport 
Watershed Description:3,370 km^2 Yeongsan River, located in southwest South Korea. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:Micro-pollutant; Deep learning; SWAT; Long short-term memory