| Title: | A Bayesian Networks approach for the assessment of climate change impacts on nutrients loading |
| Authors: | Sperotto, A., J.L. Molina, S. Torresan, A. Critto, M. Pulido-Velazquez and Marcomini |
| Year: | 2019 |
| Journal: | Environmental Science and Policy |
| Volume (Issue): | 100 |
| Pages: | 21-36 |
| Article ID: | |
| DOI: | 10.1016/j.envsci.2019.06.004 |
| URL (non-DOI journals): | |
| Model: | SWAT |
| Broad Application Category: | pollutant only |
| Primary Application Category: | climate change |
| Secondary Application Category: | nutrient cycling/loss and transport |
| Watershed Description: | Zero river basin (ZRB), which drains to the Venice Lagoon in northeast Italy. |
| Calibration Summary: | |
| Validation Summary: | |
| General Comments: | |
| Language: | English |
| Keywords: | Bayesian Networks; Zero river basin; climate change impacts; nutrients loading; water quality |