Long-term high-resolution projection of extreme hydrological events

This research focuses on understanding and predicting extreme hydrological events, such as heavy rainfall and flooding, which are becoming more frequent due to climate change. It aims to improve long-term flood risk assessment by analyzing precipitation patterns, developing better climate projections, and refining flood modeling techniques. The study will use statistical analysis, climate models, and hydrological simulations to project future precipitation and flood risks under different climate scenarios. The key goal is to quantify uncertainties in these projections, providing more reliable data for disaster prevention and risk management.

Faculty Supervisor:

Gordon Huang

Student:

Partner:

Brunel University of London

Discipline:

Earth science

Sector:

Education

University:

University of Regina

Program: