Urban flooding is intensifying under climate change and urbanization, demanding efficient deep learning-based prediction. However, such models are commonly trained to minimize data-fitting loss alone, with limited incorporation of physical constraints on surface water flow. As a result, they may learn spurious statistical relationships and provide little insight into the factors governing predicted inundation, limiting their p...