Dr Lina Stein
PhD Thesis: Using hydrological process knowledge to assess flood generation and changes on a global scale
Supervisors: Dr Ross Woods and Dr Francesca Pianosi
Flooding is a severe natural hazard which regularly causes destruction of life, property, and the environment. Better understanding of flood generating processes can improve flood mitigation and protection. However, little research has been conducted about flood generating processes outside some northern hemisphere regions. Although global flood studies are increasing, they either do not consider flood generating processes, or base their assumptions about them on research results from humid regions only.
The aim of Lina’s research is to increase knowledge about flood generating processes globally, understand which catchment and climate attributes influence mix of flood generating processes and evaluate how process knowledge can improve our understanding of future floods.
Lina is a PhD student in the Water and Environmental Engineering Group at Bristol University with a focus on data analysis and flood modelling.
Lina completed her undergrad in Environmental Science with a minor in Environmental Hydrology at Albert-Ludwigs Universität Freiburg in 2015. During this time she spent two semesters at the National University of Singapore, where she focused on natural hazards in South East Asia. Her experience from this period was applied during an internship at the German Society for International Development (GIZ) in the department for Water Policy and Infrastructure. In her undergrad thesis she modelled the water balance of a small catchment in the West Bank. It encouraged her to pursue an MSc in Hydrology at the Albert-Ludwigs Universität Freiburg, where she focused on hydrological modelling and data management as well as hydrological hazards. In her final thesis she successfully applied a recently developed solute transport model for the first time to a hydrological complex Karst catchment.
- Hydrological modelling
- Flood hazards
- Data management
- Data visualisation