A Hybrid-fidelity Modeling Approach for Evaluating Flooding Risk in Large Urban Infrastructures

Xuan Wang, Jiaxin Yan, Yong Liu, Zhipeng Liu, Shixiang Kuang and Jinsuo Lu ()
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Xuan Wang: Xi’an University of Architecture and Technology
Jiaxin Yan: Xi’an University of Architecture and Technology
Yong Liu: Xi’an Water Group Company Limited
Zhipeng Liu: Xi’an University of Architecture and Technology
Shixiang Kuang: Xi’an University of Architecture and Technology
Jinsuo Lu: Xi’an University of Architecture and Technology

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2025, vol. 39, issue 7, No 6, 3053-3069

Abstract: Abstract As climate change and urbanization intensify, urban infrastructures face escalating flood risks, necessitating robust assessment methods for effective prevention and control measures. The complexity of large-scale urban infrastructures, with their numerous entrances and exits, demands comprehensive flood risk modeling that can balance computational efficiency with simulation accuracy. However, traditional high-fidelity flood simulations at the urban basin scale are often constrained by data limitations and computational demands. This study proposed a hybrid-fidelity modeling approach to address these challenges. At the basin scale, the method integrates rainfall-runoff hydrological modeling with one-dimensional river hydrodynamics. At the neighborhood scale, where infrastructure entrances are concentrated, it couples one-dimensional sewer hydrodynamics with two-dimensional flood propagation modeling. This multi-scale approach enables the lower-fidelity basin models to provide boundary conditions for higher-fidelity neighborhood simulations, optimizing computational efficiency while maintaining assessment accuracy. The hybrid-fidelity modeling approach was applied to flood risk assessment of urban infrastructures in a planned region. Model simulations determined maximum inundation depths at infrastructure entrances under various rainfall scenarios, establishing a scientific foundation for developing targeted flood prevention and control strategies. This hybrid-fidelity approach offers a practical solution for comprehensive urban flood risk assessment in large infrastructures, balancing model complexity with computational feasibility.

Keywords: Hybrid-fidelity Modeling; Urban Flooding; Risk Assessment; Hydrological Modeling; Hydrodynamic Modeling (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11269-024-04086-2

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