SWAT Literature Database for Peer-Reviewed Journal Articles

Title:A coupled hydrologic-machine learning modelling framework to support hydrologic modelling in river basins under interbasin water transfer regimes 
Authors:Essenfelder, A.H. and C. Giupponi 
Year:2020 
Journal:Environmental Modelling & Software 
Volume (Issue):131 
Pages: 
Article ID:104779 
DOI:10.1016/j.envsoft.2020.104779 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:model and/or data interface 
Secondary Application Category:hydrologic assessment 
Watershed Description:Dese-Zero River, which is part of the Venice Lagoon drainage area in northeast Italy. 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:Complex water dynamics, Interbasin Water Transfer, SWAT model, Machine learning, Artificial neural networks