| Title: | A two-stage fuzzy-stochastic factorial analysis method for characterizing effects of uncertainties in hydrological modelling |
| Authors: | Liu, Y.R., Y.P. Li and J. Sun |
| Year: | 2020 |
| Journal: | Hydrological Sciences Journal |
| Volume (Issue): | 65(12) |
| Pages: | 2057-2071 |
| Article ID: | |
| DOI: | 10.1080/02626667.2020.1790566 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic only |
| Primary Application Category: | uncertainty analysis |
| Secondary Application Category: | snowmelt, frozen soil and/or glacier melt processes |
| Watershed Description: | 19,638 km^2 Vakhsh River, a tributary of the Amu Darya River and ultimately the Aral Sea, located primarily in Tajistan but also drains small portions of Afghanistan and Krygystan, in Central Asia |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Central Asia; fuzzy sets; Markov Chain Monte Carlo (MCMC); SWAT; two-stage factorial analysis; uncertainty effects |