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 (Issue): | 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 and/or data comparison |
Secondary Application Category: | groundwater and/or soil water impacts/processes |
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 |