People

Dr. Zeng works on enhancing mechanistic understanding, predictable capability, hydrologic modeling and sustainable management of watersheds.

Working with Evaporation Temporal Variance Decomposition to help improving weather forecast

Monitoring barge to help mitigate the inland waterway supply chain disruptions due to seasonal droughts

Investigating sustainable hydrogen production by evaluating potential sites for floating photovoltaic installations

Qianqiu’s research is dedicated to enhancing the accuracy and utility of hydrologic models for human-water system interactions through advanced quantification methods to facilitate informed decision-making for effective water resource management.

Chuncheng worked on developing image processing, computer vision and machine learning algorithm to detect engineered hydrologic features (e.g., agricultural drainage, urban stormwater infrastructure) in natural and built environment.

Weiwei’s research focuses on combining machine learning with physically-based modeling to improve the understanding of cryospheric ecohydrology in changing environments.