Research is being conducted on urban flood modeling, incorporating techniques such as gaussian processes regression forecasting and physics-informed methods. The studies appear to focus on improving predictions and understanding of flooding processes, including the use of machine learning and artificial intelligence. Various approaches are being explored, including data-driven geospatial modeling and interpretable machine learning, to enhance flood prediction and resilience.