SWAT Literature Database for Peer-Reviewed Journal Articles

Title:Modelling the root zone soil moisture using artificial neural networks, a case study 
Authors:Al-Mukhtar, M. 
Year:2016 
Journal:Environmental Earth Sciences 
Volume:75 
Pages: 
Article ID:1124 
DOI:10.1007/s12665-016-5929-2 
URL (non-DOI journals): 
Model:SWAT 
Broad Application Category:hydrologic only 
Primary Application Category:model comparison 
Secondary Application Category:groundwater and/or soil water impacts 
Watershed Description:310 km^2 Spree River that drains part of eastern Germany and a portion of the Czech Republic 
Calibration Summary: 
Validation Summary: 
General Comments: 
Language:English 
Keywords:Soil moisture; Artificial neural networks; Comparison; Temporal variation; SWAT model; Spree River