Coupling Machine Learning with the SWAT Model to Predict Future Runoff and Extreme Hydrological Events Under the Effects of Climate Change and Human Activities: A Socio-Hydrological Attribution Study
Projecting runoff and extreme hydrological events in human-modified basins requires climate, land-use and reported water-consumption forcings to be represented within a single, traceable scenario framework. Here, the Dawen River, the largest tributary of the lower reaches of the Yellow River, was selected as the study...