A strong evidence has shown the increase of economic and other losses from natural disasters, especially from hydro-meteorological disasters. Implementation of Nature-Based Solutions (NBS) for hydro-meteorological risk reduction offers the possibility to break away from traditional practices and enable to reconnect our land management practices and developments with nature in order to achieve multiple benefits to services and functions of ecosystems.
However, examples of large-scale NBS for hydro-meteorological risk reduction which can provide proof-of-concept for their upscaling and replication is currently lacking and there is a clear need to enhance their evidence base through demonstration within the European reference framework. This proposed PhD project focuses on developing flood inundation model for simulating flood scenarios and the effects of implementation of large-scale NBSs. The main challenge here is fast computation. With the developed flood model, we’ll be able to simulate and examine different scenarios and link to optimization algorithms.