Research graph
References from A dynamic urban flood risk prediction framework for real-time flood risk early warning. Local targets link to admitted publications; unresolved targets remain external evidence.
Multi-criteria approach for selection of green and grey infrastructure to reduce flood risk and increase CO-benefits
2018 · External reference
How urban form impacts flooding
10.1038/s41467-024-50347-4 · 2024 · External reference
Urban flood risk assessment characterizing the relationship among hazard, exposure, and vulnerability
10.1007/s11356-023-28578-7 · 2023 · External reference
An improved coupled hydrologic-hydrodynamic model for urban flood simulations under varied scenarios
10.1007/s11269-024-03914-9 · 2024 · External reference
Adapting drainage networks to the urban development: an assessment of different integrated approach alternatives for a sustainable flood risk mitigation in Northern Italy
2023 · External reference
Urban flood vulnerability knowledge-graph based on remote sensing and textual bimodal data fusion
10.1016/j.jhydrol.2024.131010 · 2024 · External reference
A simplified approach for the hydrological simulation of urban drainage systems with SWMM
10.1016/j.jhydrol.2023.129757 · 2023 · External reference
Assessment of surrogate models for flood inundation: the physics-guided LSG model vs. state-of-the-art machine learning models
10.1016/j.watres.2024.121202 · 2024 · External reference
The role of deep learning in urban water management: a critical review
10.1016/j.watres.2022.118973 · 2022 · External reference
Accelerating urban flood prediction using a dual-stream Transformer‑CNN model with spatiotemporal feature fusion and uncertainty quantification
10.1016/j.jhydrol.2026.135119 · 2026 · External reference
Evaluation of graph neural networks for urban drainage metamodeling: key components and transferability analysis
2025 · External reference
Urban surface water flood modelling–a comprehensive review of current models and future challenges
2020 · External reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · 1997 · External reference
FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction
10.1017/eds.2024.19 · 2024 · External reference
Rapid simulation for real-time flood depth prediction using support vector machine
2025 · External reference
A novel spatiotemporal multi-attribute method for assessing flood risks in urban spaces under climate change and demographic scenarios
2022 · External reference
Urban inundation mapping by coupling 1D− 2D models and model comparison
2024 · External reference
Fast simulation and prediction of urban pluvial floods using a deep convolutional neural network model
10.1016/j.jhydrol.2023.129945 · 2023 · External reference
Urban flood risk assessment characterizing the relationship among hazard, exposure, and vulnerability
10.1007/s11356-023-28578-7 · 2023 · External reference
Optimization framework for Urban Flood mitigation strategies considering collaborative drainage mechanisms
2025 · External reference
A fine-grained evaluation framework for urban land cover change based on feature monitoring with remotely sensed imagery
10.1371/journal.pone.0342350 · 2026 · External reference
A physically constrained proxy framework considering a process-aware gating mechanism for urban flood simulation
10.1016/j.watres.2026.125663 · 2026 · External reference
Physics-guided liquid neural networks for rapid and physically consistent flood evolution prediction
2026 · External reference
PINN framework for urban flood depth prediction: integrating data-driven insights with physical constraints
2025 · External reference
Artificial intelligence for flood risk management: a comprehensive state-of-the-art review and future directions
10.1016/j.ijdrr.2024.105110 · 2025 · External reference
U-FLOOD–Topographic deep learning for predicting urban pluvial flood water depth
10.1016/j.jhydrol.2021.126898 · 2021 · External reference
Accelerating hydrodynamic simulations of urban drainage systems with physics-guided machine learning
10.1016/j.watres.2022.118972 · 2022 · External reference
An explainable and transferable deep learning framework for spatiotemporal urban flood prediction by integrating Vision Transformer and U-Net
10.1016/j.watres.2026.125504 · 2026 · External reference
Incorporating dynamic drainage supervision into deep learning for accurate real-time flood simulation in urban areas
10.1016/j.watres.2024.122816 · 2025 · External reference
Rapid drought-to-flood weather whiplash amplifies climate change governance failure
2026 · External reference
A novel spatial optimization approach for the cost-effectiveness improvement of LID practices based on SWMM-FTC
2022 · External reference
Improving urban flood prediction using LSTM-DeepLabv3+ and bayesian optimization with spatiotemporal feature fusion
10.1016/j.jhydrol.2024.130743 · 2024 · External reference
Attention-based deep learning framework for urban flood damage and risk assessment with improved flood prediction and land use segmentation
10.1016/j.ijdrr.2024.105165 · 2025 · External reference
Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in Peshawar
2024 · External reference
A 2D hydrodynamic model for river flood prediction in a coastal floodplain: PV Timbadiya and KM Krishnamraju
10.1007/s11069-022-05587-2 · 2023 · External reference
Prediction of flood risk levels of urban flooded points though using machine learning with unbalanced data
10.1016/j.jhydrol.2024.130742 · 2024 · External reference
Toward explainable flood risk prediction: integrating a novel hybrid machine learning model
10.1016/j.scs.2025.106140 · 2025 · External reference
Impact of 2D and 3D factors on urban flooding: spatial characteristics and interpretable analysis of drivers
10.1016/j.watres.2025.123537 · 2025 · External reference
A tight coupling model for urban flood simulation based on SWMM and TELEMAC-2D and the uncertainty analysis
10.1016/j.scs.2024.105794 · 2024 · External reference
A probabilistic assessment of urban flood risk and impacts of future climate change
2023 · External reference
Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou
10.1016/j.jhydrol.2018.06.060 · 2018 · External reference
A framework for amplification flood risk assessment and threshold determination of combined rainfall and river level in an inland city
10.1016/j.jhydrol.2024.131725 · 2024 · External reference
A novel integrated urban flood risk assessment approach based on one-two dimensional coupled hydrodynamic model and improved projection pursuit method
10.1016/j.jenvman.2024.121910 · 2024 · External reference
Rapid urban flood inundation forecasting using a physics-informed deep learning approach
10.1016/j.jhydrol.2024.131998 · 2024 · External reference
Study on urban flood simulation based on a novel model of SWTM coupling D8 flow direction and backflow effect
10.1016/j.jhydrol.2023.129608 · 2023 · External reference
Super-resolution enhanced deep learning for efficient and accurate urban flood simulation at the street scale
10.1016/j.watres.2026.125819 · 2026 · External reference
Global South shows higher urban flood exposures than the Global North under current and future scenarios
10.1038/s43247-025-02585-7 · 2025 · External reference
Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networks
10.1016/j.watres.2024.122142 · 2024 · External reference
A novel integrated urban flood risk assessment approach coupling GeoDetector-Dematel and clustering method
10.1016/j.jenvman.2024.120308 · 2024 · External reference
Controls on the spatial and temporal patterns of rainfall-runoff event characteristics—A large sample of catchments across Great Britain
10.1029/2022wr033226 · 2023 · External reference
A 2D hydrodynamic model for river flood prediction in a coastal floodplain: PV Timbadiya and KM Krishnamraju
10.1007/s11069-022-05587-2 · ExternalCitation · doi-reference
An improved coupled hydrologic-hydrodynamic model for urban flood simulations under varied scenarios
10.1007/s11269-024-03914-9 · ExternalCitation · doi-reference
Urban flood risk assessment characterizing the relationship among hazard, exposure, and vulnerability
10.1007/s11356-023-28578-7 · ExternalCitation · doi-reference
Artificial intelligence for flood risk management: a comprehensive state-of-the-art review and future directions
10.1016/j.ijdrr.2024.105110 · ExternalCitation · doi-reference
Attention-based deep learning framework for urban flood damage and risk assessment with improved flood prediction and land use segmentation
10.1016/j.ijdrr.2024.105165 · ExternalCitation · doi-reference
A novel integrated urban flood risk assessment approach coupling GeoDetector-Dematel and clustering method
10.1016/j.jenvman.2024.120308 · ExternalCitation · doi-reference
A novel integrated urban flood risk assessment approach based on one-two dimensional coupled hydrodynamic model and improved projection pursuit method
10.1016/j.jenvman.2024.121910 · ExternalCitation · doi-reference
Urban flooding risk assessment based on an integrated k-means cluster algorithm and improved entropy weight method in the region of Haikou
10.1016/j.jhydrol.2018.06.060 · ExternalCitation · doi-reference
U-FLOOD–Topographic deep learning for predicting urban pluvial flood water depth
10.1016/j.jhydrol.2021.126898 · ExternalCitation · doi-reference
Study on urban flood simulation based on a novel model of SWTM coupling D8 flow direction and backflow effect
10.1016/j.jhydrol.2023.129608 · ExternalCitation · doi-reference
A simplified approach for the hydrological simulation of urban drainage systems with SWMM
10.1016/j.jhydrol.2023.129757 · ExternalCitation · doi-reference
Fast simulation and prediction of urban pluvial floods using a deep convolutional neural network model
10.1016/j.jhydrol.2023.129945 · ExternalCitation · doi-reference
Prediction of flood risk levels of urban flooded points though using machine learning with unbalanced data
10.1016/j.jhydrol.2024.130742 · ExternalCitation · doi-reference
Improving urban flood prediction using LSTM-DeepLabv3+ and bayesian optimization with spatiotemporal feature fusion
10.1016/j.jhydrol.2024.130743 · ExternalCitation · doi-reference
Urban flood vulnerability knowledge-graph based on remote sensing and textual bimodal data fusion
10.1016/j.jhydrol.2024.131010 · ExternalCitation · doi-reference
A framework for amplification flood risk assessment and threshold determination of combined rainfall and river level in an inland city
10.1016/j.jhydrol.2024.131725 · ExternalCitation · doi-reference
Rapid urban flood inundation forecasting using a physics-informed deep learning approach
10.1016/j.jhydrol.2024.131998 · ExternalCitation · doi-reference
Accelerating urban flood prediction using a dual-stream Transformer‑CNN model with spatiotemporal feature fusion and uncertainty quantification
10.1016/j.jhydrol.2026.135119 · ExternalCitation · doi-reference
A tight coupling model for urban flood simulation based on SWMM and TELEMAC-2D and the uncertainty analysis
10.1016/j.scs.2024.105794 · ExternalCitation · doi-reference
Toward explainable flood risk prediction: integrating a novel hybrid machine learning model
10.1016/j.scs.2025.106140 · ExternalCitation · doi-reference
Accelerating hydrodynamic simulations of urban drainage systems with physics-guided machine learning
10.1016/j.watres.2022.118972 · ExternalCitation · doi-reference
The role of deep learning in urban water management: a critical review
10.1016/j.watres.2022.118973 · ExternalCitation · doi-reference
Assessment of surrogate models for flood inundation: the physics-guided LSG model vs. state-of-the-art machine learning models
10.1016/j.watres.2024.121202 · ExternalCitation · doi-reference
Graph neural network-based surrogate modelling for real-time hydraulic prediction of urban drainage networks
10.1016/j.watres.2024.122142 · ExternalCitation · doi-reference
Incorporating dynamic drainage supervision into deep learning for accurate real-time flood simulation in urban areas
10.1016/j.watres.2024.122816 · ExternalCitation · doi-reference
Impact of 2D and 3D factors on urban flooding: spatial characteristics and interpretable analysis of drivers
10.1016/j.watres.2025.123537 · ExternalCitation · doi-reference
An explainable and transferable deep learning framework for spatiotemporal urban flood prediction by integrating Vision Transformer and U-Net
10.1016/j.watres.2026.125504 · ExternalCitation · doi-reference
A physically constrained proxy framework considering a process-aware gating mechanism for urban flood simulation
10.1016/j.watres.2026.125663 · ExternalCitation · doi-reference
Super-resolution enhanced deep learning for efficient and accurate urban flood simulation at the street scale
10.1016/j.watres.2026.125819 · ExternalCitation · doi-reference
FloodGNN-GRU: a spatio-temporal graph neural network for flood prediction
10.1017/eds.2024.19 · ExternalCitation · doi-reference
Controls on the spatial and temporal patterns of rainfall-runoff event characteristics—A large sample of catchments across Great Britain
10.1029/2022wr033226 · ExternalCitation · doi-reference
How urban form impacts flooding
10.1038/s41467-024-50347-4 · ExternalCitation · doi-reference
Global South shows higher urban flood exposures than the Global North under current and future scenarios
10.1038/s43247-025-02585-7 · ExternalCitation · doi-reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · ExternalCitation · doi-reference
A fine-grained evaluation framework for urban land cover change based on feature monitoring with remotely sensed imagery
10.1371/journal.pone.0342350 · ExternalCitation · doi-reference
