The Impact of Input Data on the Modelling of Pluvial Flooding

This poster summarizes the last two years of doctoral research, with a particular focus on the most recent results. Climate change has intensified the impacts on environmental systems and increased the frequency of extreme events, making them more difficult to predict and manage. Pluvial flooding in urban areas has become a major concern, driven both by climate change and rapid urbanization. To address this issue, a variety of modeling tools have been developed, including one-dimensional (1D) and two-dimensional (2D) hydrodynamic methods, as well as integrated hydrological-hydraulic approaches that couple sewer and surface flows. Nevertheless, challenges remain, particularly regarding the quality of input data such as topographic resolution and its integration with urban drainage networks. The research presented here advances this discussion by examining these challenges and presenting new findings from the most recent stage of the doctoral work.