About

I develop new methods to understand changing water resources, especially in water-scarce regions with limited hydrological data. To do this I combine theory and approaches from hydrology, geospatial data science, and complex systems analysis. These approaches and datasets improve our understanding, support cooperative water management, and enhance resilience in coupled human-water systems.

Zijing focuses on attribution of changing hydrological processes in the Yellow River Basin, where changing streamflow and sediment budgets pose major water and agricultural management challenges. Ongoing management approaches (e.g., the Green for Grain project) present unique research opportunities. Zijing is a visiting Ph.D. student from Tsinghua University in the Department of Hydraulic Engineering.

Wee Han uses novel remote sensing and machine learning approaches to understand agricultural resilience in rural agrarian landscapes in Southeast Asia, focusing especially on the effects of changing water availability. Prior to joining the lab, Wee Han completed his M.Sc. in Applied GIS at NUS, writing his thesis on quantifying cultural ecosystems services in Singapore related to human-wildlife interactions. Before that he completed a Bachelor’s degree (with Honors) in Life Sciences at NUS, with his Bachelor’s thesis focusing on potential avenues for mitigating the spread of fake news pertaining to climate change using priming/inoculation techniques.