Data integration with physics-based models to understand and mitigate natural hazards

Colloquium
Cansu Culha
Tuesday, November 7, 2023 · 12:30 pm to · 2:00 pm
ESB 5104-06
Hosted by
Mark Jellinek

Forecasting hazards based solely on observational data poses significant challenges, as the hazard often conceals the observable signatures of the underlying processes that drive and amplify it. Models developed without the benefit of observational data struggle to identify the leading complex mechanics that characterize such hazards. My research focuses on data-model integration of physics-based models of natural hazards, with emphasis on volcanic and periglacial hazards. I am interested in these systems because of their predominant impact on disadvantaged communities. 

 
Since I will be at UBC for the next two years, I will walk you through some problems that I find important. In the field of volcanic hazards, I delve into the mechanics of lava flow and subsurface magmatic processes. For periglacial hazards, I analyze hydraulic processes leading to flash flood and drought events, as well as mass movement events like retrogressive thaw slumps. 
Speaker's Bio: 

https://cculha4.github.io/