This Article supports SDGs 3 and 6 by assessing global human water stress for low to high environmental flow protection. The findings suggest that ensuring high ecological protection would put nearly half the world's population under water stress for at least 1 month per year, meaning important trade-offs are made when allocating limited water resources between direct human needs and the environment.
This study provides new insights into the potential use of machine learning in hydrological simulations.
