- Article
SWAT Machine Learning-Integrated Modeling for Ranking Watershed Vulnerability to Climate Variability and Land-Use Change in Alabama, USA, in 1990–2023
- Riad Arefin,
- Jonathan Frame,
- Geoffrey R. Tick,
- Derek D. Bussan,
- Andrew M. Goodliffe and
- Yong Zhang
Understanding streamflow dynamics in watersheds affected by human activity and climate variability is important for sustainable water and environmental resource management. This study evaluates the vulnerability of Alabama watersheds to anthropogenic...

