| Title: | A global sensitivity analysis approach for identifying critical sources of uncertainty in non-identifiable, spatially distributed environmental models: A holistic analysis applied to SWAT for input datasets and model parameters |
| Authors: | Koo, H., M. Chen, A.J. Jakeman and F. Zhang |
| Year: | 2020 |
| Journal: | Environmental Modelling & Software |
| Volume (Issue): | 127 |
| Pages: | |
| Article ID: | 104676 |
| DOI: | 10.1016/j.envsoft.2020.104676 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic and pollutant |
| Primary Application Category: | calibration, sensitivity, and/or uncertainty analysis |
| Secondary Application Category: | nitrogen cycling/loss and transport |
| Watershed Description: | 12,893 km^2 Minjiang River, a tributary of the Upper Yangtze River located in central China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Uncertainty, Sensitivity analysis, Water quality, SWAT, Watershed delineation, Hydrological response unit, Identifiability |