| Title: | Multi-model ensemble simulated non-point source pollution based on Bayesian model averaging method and model uncertainty analysis |
| Authors: | Wang, H., K. Lu, Y. Zhao, J. Zhang, J. Hua and X. Lin |
| Year: | 2020 |
| Journal: | Environmental Science and Pollution Research |
| Volume (Issue): | 27(35) |
| Pages: | |
| Article ID: | 44482–44493 |
| DOI: | 10.1007/s11356-020-10336-8 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | hydrologic and pollutant |
| Primary Application Category: | model and/or data comparison |
| Secondary Application Category: | nutrient cycling/loss and transport |
| Watershed Description: | 6700 km^2 Yixunhe River, a tributary of the Luan River located in Hebei Province in northeast China. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Bayesian model averaging, Ensemble non-point pollution prediction, Multi-model combination, Uncertainty estimation |