Capturing Urban Pluvial River Flooding Features Based on the Fusion of Physically Based and Data-Driven Approaches

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2524 - 2524

Published: March 13, 2025

Driven by climate change and rapid urbanization, pluvial flooding is increasingly endangering urban environments, prompting the widespread use of coupled hydrological–hydrodynamic models that enable more accurate flood simulations enhanced forecasting. The simulation method for river caused heavy rainfall has garnered growing attention. However, existing studies primarily concentrate on prediction using hydrodynamic or machine learning models, there remains a dearth comprehensive framework couples both to simulate temporal evolution changes. This research proposes novel simulating integrating physically based with deep approaches. sample set through data augmentation Generative Adversarial Networks, scheduling control signals are incorporated into encoder–decoder architecture results demonstrate strong model performance, provided model’s structural complexity aligned available training data. After incorporating information, simulated water level process exhibits “double-peak” pattern, where first peak noticeably lower than under non-scheduling conditions. current introduces an innovative analyzing large-scale flooding, offering valuable perspectives planning mitigation strategies.

Language: Английский

Impact of Drainage Network Structure on Urban Inundation Within a Coupled Hydrodynamic Model

Water, Journal Year: 2025, Volume and Issue: 17(7), P. 990 - 990

Published: March 28, 2025

Currently, one of the major threats to cities is escalating risk flooding, which attributed alteration climate and hastened urbanization. The purpose this study was introduce Strahler ordering method for simplifying drainage networks avoid randomness in developing flooding models. A coupled hydrodynamic model that combines SWMM LISFLOOD-FP developed simulate urban inundation. Results showed had satisfactory applicability waterlogging simulation. could construct clear topological relations network good performance simplification. Higher-density increase peak discharge total volume discharge, while decreasing maximum water depth inundation area. Taking “5.29” rainstorm events as an example, compared Level 3, relative rates change flow 2 1 are −33.18% −23.29%. area decreased from 14.14 ha 1.43 when level hierarchy increased 3. This highlights importance re-assessment current future coping with changes floods induced by local large-scale changes.

Language: Английский