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The review aims to summarize recent progress in urban flooding modelling and prediction, emphasizing new methodologies.

March 29, 2026Open Access

Advances and challenges in modelling and prediction of urban flooding: a comprehensive review on recent progresses

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The review aims to summarize recent progress in urban flooding modelling and prediction, emphasizing new methodologies.
Categorized advancements into four sub-topics: coupled hydrological-hydraulic models, high-resolution data and remote sensing, AI-based flood simulation, and climate adaptation strategies.
Analyzed real case studies from various international contexts.
Reviewed integration of machine learning and AI technologies in modelling.
Recent developments show a shift towards integrated and climate-resilient approaches.
Combining advanced machine learning with hydrological-hydraulic models improves simulation accuracy.
High-resolution data enhances computational efficiency and community involvement in flood prediction.

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This review examines advances in urban flooding modelling and prediction, indicating a shift towards integrated and data-driven methods.

Nie et al. (2026) studied this question.

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