Floods are shaped by complex and nonlinear interactions between weather patterns, rainfall, soil properties, topography, land cover, and how wet a catchment already is. This complexity is one reason machine learning (ML) is increasingly used in hydrology. ML models can learn patterns from large and complex datasets with many variables. Early in my PhD, while exploring machine learning models for ...[Read More]
For episode 11 of HydroTalks, we welcomed Prof. Thom Bogaard of Delft Technical University and visiting professor at Kasetsart University, Bangkok. His research explores the intersection of hydrology, geomorphology, ecology, and natural hazards. We discussed his work on understanding how water triggers landslides, improving regional early warning systems, and developing practical solutions that re ...[Read More]
Archita Bhattacharyya is an Environmental Scientist and a research and development fellow at the Department of Environment, Food and Rural affairs, England. For 2026, she is the Early Career Scientist Representative for the Hydrological Sciences division. Can you tell us about the focus of your research? In my PhD, I focused on groundwater microbiology, especially how microbial communities change ...[Read More]
A little over a decade ago, a group of us argued that “it takes a village to raise a hydrologist”. The skills and knowledge any hydrologist should be exposed to during their training goes far beyond what a single person can do and know. Even more, the experience of how water shapes and interacts with diverse landscapes all around the world cannot be obtained by a single person. This is true especi ...[Read More]
