Digital Twins for Smart Cities in the Context of Climate Change
The aim of this thesis is to investigate possibilities for creating digital replicas of urban landscapes and regional characteristics, cities' infrastructure elements (e.g., homes, properties, streets, etc.) to simulate what-if scenarios that show the impact of climate change such as flooding in cities and how they may be managed. Such simulations can be used to determine flooding risks for existing conditions and to evaluate proposed mitigation strategies. The resulting flood resilience model can be used for analysis, simulation, visualization, planning and communication, as well as a better assessment of the socio-economic impact of cities' projects. As part of this thesis, various aspects related to relevant historical and actual data, AI models, and modern data visualization techniques will be investigated.