Title: | A novel study of SWAT and ANN models for runoff simulation with application on dataset of metrological stations |
Authors: | Zakizadeh, H., H. Ahmadi, G. Zehtabian, A. Moeini and A. Moghaddamnia |
Year: | 2020 |
Journal: | Physics and Chemistry of the Earth |
Volume (Issue): | 120 |
Pages: | |
Article ID: | 102899 |
DOI: | 10.1016/j.pce.2020.102899 |
URL (non-DOI journals): | |
Model: | SWAT |
Broad Application Category: | hydrologic only |
Primary Application Category: | model and/or data comparison |
Secondary Application Category: | hydrologic assessment |
Watershed Description: | 2446 km^2 Darake River, located in the country of Shemiranat north of the city of Tehran in north Central Iran. |
Calibration Summary: | |
Validation Summary: | |
General Comments: | |
Language: | English |
Keywords: | Artificial neural network, Rainfall-runoff simulation, SWAT, Urban watershed |