Research
Coupled human–water systems for sustainable agricultural water use
Integrated models connect hydrological processes with the decisions of diverse water users to reveal robust pathways for agricultural water sustainability.
Sustainable agricultural water use requires understanding the dynamic feedbacks between human decisions and hydrological processes. We advance integrated modeling frameworks that link process-based hydrological models with behaviorally grounded, agent-based representations of water users.
Our computational approaches capture co-evolving interactions among water availability, infrastructure operations, and heterogeneous farmer responses under climate variability and policy interventions. By explicitly representing environmental and behavioral uncertainty, this work provides robust insights for designing and evaluating adaptive water-management strategies.
We collaborate with interdisciplinary teams and stakeholders to co-produce actionable knowledge and decision-support tools for more resilient agricultural water systems.