Research graph
References from Enhancing urban flood risk assessment: A PCA-integrated deep learning surrogate for hazard and damage prediction. Local targets link to admitted publications; unresolved targets remain external evidence.
A surrogate machine learning modeling approach for enhancing the efficiency of urban flood modeling at metropolitan scales
10.1016/j.scs.2025.106277 · 2025 · External reference
A review of recent advances in urban flood research
2023 · External reference
Transfer learning using the global Caravan dataset for developing a local river streamflow prediction model
10.1016/j.envsoft.2025.106691 · 2025 · External reference
Flood risk analyses–how detailed do we need to be–
10.1007/s11069-008-9277-8 · 2009 · External reference
A probabilistic modelling system for assessing flood risks
10.1007/s11069-005-8603-7 · 2006 · External reference
The sensitivity of urban pluvial flooding to the temporal distribution of rainfall within design storms
10.1111/jfr3.70097 · 2025 · External reference
Leveraging coupled hydrodynamic with data-driven GeoAI models for advancing systemic compound flood risk evaluation in coastal urban areas
2025 · External reference
A machine learning-based prediction-to-map framework for rapid and accurate spatial flood prediction
10.1038/s44304-025-00122-2 · 2025 · External reference
Unveiling the limits of deep learning models in hydrological extrapolation tasks
10.5194/hess-29-5871-2025 · 2025 · External reference
Combined modeling of US fluvial, pluvial, and coastal flood hazard under current and future climates
10.1029/2020wr028673 · 2021 · External reference
Deep learning methods for flood mapping: a review of existing applications and future research directions
2022 · External reference
Random search for hyper-parameter optimization
2012 · External reference
Data driven real-time prediction of urban floods with spatial and temporal distribution
2024 · External reference
Development and comparison of two fast surrogate models for urban pluvial flood simulations
10.1007/s11269-018-1959-8 · 2018 · External reference
Impact of the rainfall duration and temporal rainfall distribution defined using the Huff curves on the hydraulic flood modelling results
10.3390/geosciences8020069 · 2018 · External reference
Cumulative storm rainfall distributions: comparison of Huff curves
2003 · External reference
Inside or outside: quantifying extrapolation across river networks
10.1029/2018wr023378 · 2018 · External reference
Mapping gully erosion variability and susceptibility using remote sensing, multivariate statistical analysis, and machine learning in South Mato Grosso
10.3390/geosciences12060235 · 2022 · External reference
A PCA spatial pattern based artificial neural network downscaling model for urban flood hazard assessment
10.1016/j.advwatres.2020.103821 · 2021 · External reference
Recent advances and future challenges in urban pluvial flood modelling
10.1080/1573062x.2024.2446528 · 2025 · External reference
Spatial-temporal flood inundation nowcasts by fusing machine learning methods and principal component analysis
10.1016/j.jhydrol.2022.128086 · 2022 · External reference
XGBoost: a scalable tree boosting system
2016 · External reference
Fine-tuning long short-term memory models for seamless transition in hydrological modelling: from pre-training to post-application
10.1016/j.envsoft.2025.106350 · 2025 · External reference
Multi-dimensional flood damage analysis (I): principle and procedure
2006 · External reference
Real-time short-range flood forecasting based on a watershed scale 2-D hydrodynamic model and high-resolution precipitation forecast ensemble
10.1016/j.jhydrol.2024.132564 · 2025 · External reference
Forecasting flood hazards in real time: a surrogate model for hydrometeorological events in an Andean watershed
10.5194/nhess-20-3261-2020 · 2020 · External reference
Measuring compound flood potential from river discharge and storm surge extremes at the global scale
10.5194/nhess-20-489-2020 · 2020 · External reference
A method for assessing urban flood impacts by combining hydrodynamic models with entity semantic evolution
10.1080/17538947.2025.2515268 · 2025 · External reference
Application of machine learning-based surrogate models for urban flood depth modeling in Ho Chi Minh City, Vietnam
10.1016/j.asoc.2023.111031 · 2024 · External reference
Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates
10.1007/s11069-010-9675-6 · 2011 · External reference
A framework for the evaluation of flood inundation predictions over extensive benchmark databases
10.1016/j.envsoft.2025.106786 · 2026 · External reference
Developing flood mapping procedure through optimized machine learning techniques. Case study: prahova river basin, Romania
2024 · External reference
Physics-informed neural networks as surrogate models of hydrodynamic simulators
10.1016/j.scitotenv.2023.168814 · 2024 · External reference
A new dataset of river flood hazard maps for Europe and the Mediterranean Basin
10.5194/essd-14-1549-2022 · 2022 · External reference
Fast urban flood modeling informing response decisions: model development and future perspectives
10.1016/j.aei.2025.104152 · 2026 · External reference
Convolutional neural networks with transfer learning for natural river flow prediction in ungauged basins
10.1038/s41598-025-07088-1 · 2025 · External reference
Tackling random fields non-linearities with unsupervised clustering of polynomial chaos expansion in latent space: application to global sensitivity analysis of river flooding
10.1007/s00477-021-02060-7 · 2022 · External reference
Integrating net rainfall calculation in deep learning-based surrogate modeling frameworks for 2D flood prediction
10.1016/j.jhydrol.2025.133632 · 2025 · External reference
Urbanization impacts on flood risks based on urban growth data and coupled flood models
10.1007/s11069-020-04480-0 · 2021 · External reference
Anthropogenic intensification of short-duration rainfall extremes
10.1038/s43017-020-00128-6 · 2021 · 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
Rapid inundation mapping using the US National Water Model, satellite observations, and a convolutional neural network
10.1029/2024gl109424 · 2024 · External reference
Uncertainty in urban flood damage assessment due to urban drainage modelling and depth-damage curve estimation
10.2166/wst.2010.177 · 2010 · External reference
A review of flood loss models as basis for harmonization and benchmarking
10.1371/journal.pone.0159791 · 2016 · External reference
Exploring the impact of rainfall temporal distribution and critical durations on flood hazard modeling
10.1007/s11069-025-07186-3 · 2025 · External reference
Unresolved reference
2016 · External reference
Data-driven flood emulation: speeding up urban flood predictions by deep convolutional neural networks
10.1111/jfr3.12684 · 2021 · External reference
Parameter optimization of coupled 1D–2D hydrodynamic model for urban flood inundation
10.3390/w15162946 · 2023 · External reference
Effect of threshold on the comparison of radar and rain gauge rain rate
10.1007/s12205-015-0482-1 · 2015 · External reference
Towards accurate flood predictions: a deep learning approach using Wupper River Data
10.3390/w16233368 · 2024 · External reference
Recent changes in summer rainfall characteristics in Korea
10.1016/j.jemets.2025.100009 · 2025 · External reference
Dimensionality reduction in surrogate modeling: a review of combined methods
10.1007/s41019-022-00193-5 · 2022 · External reference
Time distribution of rainfall in heavy storms
10.1029/wr003i004p01007 · 1967 · External reference
Unresolved reference
External reference
Unresolved reference
2022 · External reference
Non-intrusive reduced-order modeling using uncertainty-aware deep neural networks and proper orthogonal decomposition: application to flood modeling
10.1016/j.jcp.2020.109854 · 2021 · External reference
A novel hybrid fine-tuning method for supercharging deep learning model development for hydrological prediction
10.1016/j.envsoft.2026.106978 · 2026 · External reference
Coupling WRF with HEC-HMS and WRF-Hydro for flood forecasting in typical mountainous catchments of northern China
10.5194/nhess-24-3155-2024 · 2024 · External reference
Principal component analysis: a review and recent developments
2016 · External reference
Comparative flood damage model assessment: towards a European approach
10.5194/nhess-12-3733-2012 · 2012 · External reference
A deep convolutional neural network model for rapid prediction of fluvial flood inundation
10.1016/j.jhydrol.2020.125481 · 2020 · External reference
Deep vision-based framework for coastal flood prediction under sea level rise and shoreline protection
10.1038/s41598-025-33803-z · 2026 · External reference
A review of hydrodynamic and machine learning approaches for flood inundation modeling
10.3390/w15030566 · 2023 · External reference
Leakage in data mining: formulation, detection, and avoidance
10.1145/2382577.2382579 · 2012 · External reference
Assessment of tangible direct flood damage using a spatial analysis approach under the effects of climate change: case study in an urban watershed in Hanoi, Vietnam
10.3390/ijgi7010029 · 2018 · External reference
Analysis of building flood damage using HEC-RAS 2D and GIS
2024 · External reference
Development of an analysis tool for the flood damage estimation model to support economic feasibility analysis in flood control
2021 · External reference
Urban flood adaptation and optimization for net-zero: case study of Dongjak-gu, Seoul
2022 · External reference
Unresolved reference
External reference
Combining hazard, exposure and social vulnerability to provide lessons for flood risk management
10.1016/j.envsci.2014.10.013 · 2015 · External reference
A systematic modular approach for the coupling of deep-learning-based models to forecast urban flooding maps in early warning systems
10.3390/hydrology11120215 · 2024 · External reference
Real-time forecasting and mapping flood extent from integrated hydrologic models and satellite remote sensing
10.3390/w18050550 · 2026 · External reference
Comparison of 1D/1D and 1D/2D coupled (sewer/surface) hydraulic models for urban flood simulation
10.1061/(asce)hy.1943-7900.0000037 · 2009 · External reference
Deep learning
10.1038/nature14539 · 2015 · External reference
Predicting peak inundation depths with a physics informed machine learning model
2024 · External reference
A residual correction approach for improving rainfall–runoff model performance in flood early warning systems
10.1007/s11069-025-07639-9 · 2025 · External reference
Integrated flood forecasting and warning system against flash rainfall in the small-scaled urban stream
10.3390/atmos11090971 · 2020 · External reference
An illustrative introduction to the domain dependence of spatial principal component patterns
10.5194/hess-29-6735-2025 · 2025 · External reference
Flood forecasting based on radar precipitation nowcasting using U-net and its improved models
10.1016/j.jhydrol.2024.130871 · 2024 · External reference
Surrogate modeling for rapid estimation of spatially-resolved flood damage: application to a coastal region
10.1016/j.jhydrol.2025.134763 · 2026 · External reference
Case study of urban flood inundation–impact of temporal variability in rainfall events
10.3390/w13233438 · 2021 · 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
U-FLOOD–Topographic deep learning for predicting urban pluvial flood water depth
10.1016/j.jhydrol.2021.126898 · 2021 · External reference
Urban flood numerical simulation: research, methods and future perspectives
10.1016/j.envsoft.2022.105478 · 2022 · External reference
Review article: assessment of economic flood damage
10.5194/nhess-10-1697-2010 · 2010 · External reference
Urbanisation impacts on storm runoff along a rural-urban gradient
10.1016/j.jhydrol.2017.06.025 · 2017 · External reference
Assessment of pluvial flood events based on monitoring and modeling of an old urban storm drainage in the city center of Yangon, Myanmar
10.1007/s11069-024-06555-8 · 2024 · External reference
Deep learning-enhanced flood damage prediction: a DFNN-based hybrid approach with simplified inputs
10.1016/j.ijdrr.2025.105743 · 2025 · External reference
Emulating rainfall–runoff-inundation model using deep neural network with dimensionality reduction
2023 · External reference
Urban flood forecasting using a hybrid modeling approach based on a deep learning technique
10.2166/hydro.2023.203 · 2023 · External reference
Mitigating urban flood hazards: hybrid strategy of structural measures
10.1016/j.ijdrr.2024.104542 · 2024 · External reference
Assessing future urban flood hazard: a comprehensive approach to estimating the implications of future rainfall scenarios
10.1111/jfr3.13000 · 2024 · External reference
Hydrologic and water quality models: performance measures and evaluation criteria
10.13031/trans.58.10715 · 2015 · External reference
Flood prediction using machine learning models: literature review
10.3390/w10111536 · 2018 · External reference
Evaluation of surrogate flood models for the use in impact-based flood warning systems at national scale
10.1016/j.envsoft.2023.105936 · 2024 · External reference
Rectified linear units improve restricted Boltzmann machines
2010 · External reference
River flow forecasting through conceptual models part I: a discussion of principles
10.1016/0022-1694(70)90255-6 · 1970 · External reference
Intercomparison of flood inundation models across land use types and hydrological flood stages
10.1016/j.jhydrol.2026.135410 · 2026 · External reference
Dive into transfer-learning for daily rainfall–runoff modeling in data-limited basins
10.1016/j.jhydrol.2025.133063 · 2025 · External reference
The impact of temporal rainfall pattern uncertainties on water quantity and sediment transportation results of an integrated flood simulator
10.1007/s11269-025-04179-6 · 2025 · External reference
A survey on transfer learning
10.1109/tkde.2009.191 · 2009 · External reference
Rapid urban inundation prediction method based on numerical simulation and AI algorithm
10.1016/j.jhydrol.2024.132334 · 2025 · External reference
Exposure and vulnerability estimation for modelling flood losses to commercial assets in Europe
10.1016/j.scitotenv.2020.140011 · 2020 · External reference
An integrated 1D–2D hydraulic modelling approach to assess the sensitivity of a coastal region to compound flooding hazard under climate change
10.1007/s11069-018-3462-1 · 2019 · External reference
Model parameter influence on probabilistic flood risk analysis
10.1016/j.ijdrr.2023.104215 · 2024 · External reference
Scikit-learn: machine learning in Python
2011 · External reference
Assessment of the service performance of drainage system and transformation of pipeline network based on urban combined sewer system model
10.1007/s11356-015-4707-0 · 2015 · External reference
A critical review of real-time modelling of flood forecasting in urban drainage systems
10.1016/j.jhydrol.2022.127476 · 2022 · External reference
Approaching urban flood modelling according to available data: a state-of-the-art review and future challenges
10.1111/jfr3.70184 · 2026 · External reference
Flood depth-damage and fragility functions derived with structured expert judgment
10.1016/j.jhydrol.2021.126982 · 2021 · External reference
Unresolved reference
2010 · External reference
Consideration of rainfall intermittency and log-normality on the merging of radar and the rain gauge rain rate
10.1016/j.jhydrol.2020.125178 · 2020 · External reference
Incremental learning for robust visual tracking
10.1007/s11263-007-0075-7 · 2008 · External reference
Analysis of extreme flooding events through a calibrated 1D/2D coupled model: the case of Barcelona (Spain)
10.2166/hydro.2014.063 · 2015 · External reference
HAZUS-MH flood loss estimation methodology. I: overview and flood hazard characterization
10.1061/(asce)1527-6988(2006)7:2(60) · 2006 · External reference
A physically informed domain-independent data-driven inundation forecast model
10.1016/j.watres.2025.124819 · 2026 · External reference
National-scale flood hazard data unfit for urban risk management
10.1029/2024ef004549 · 2024 · External reference
Study of simulation in storm sewer system of Zhenjiang urban by InfoWorks ICM model
10.4028/www.scientific.net/amm.193-194.683 · 2012 · External reference
A comprehensive review of machine learning and deep learning methods for flood inundation mapping
10.3390/earth7020044 · 2026 · External reference
Closing the domain gap: can pseudo-labels from synthetic UAV data enable real-world flood segmentation?
10.3390/s25123586 · 2025 · External reference
A comprehensive review of deep learning applications in hydrology and water resources
10.2166/wst.2020.369 · 2020 · External reference
Enhancing cross-regional transferability of super-resolution-based flood surrogate models for data-scarce catchments
10.1016/j.watres.2026.125799 · 2026 · External reference
Dropout: a simple way to prevent neural networks from overfitting
2014 · External reference
Improving flood forecasts for better flood preparedness in the UK (and beyond)
10.1111/geoj.12103 · 2014 · External reference
A surrogate modeling method for distributed land surface hydrological models based on deep learning
10.1016/j.jhydrol.2023.129944 · 2023 · External reference
An efficient hybrid downscaling framework to estimate high-resolution river hydrodynamics
10.5194/hess-29-3833-2025 · 2025 · External reference
Uncertainty and sensitivity analysis of the HAZUS-MH flood model
10.1061/(asce)nh.1527-6996.0000167 · 2015 · External reference
Flood inundation modelling: a review of methods, recent advances and uncertainty analysis
10.1016/j.envsoft.2017.01.006 · 2017 · External reference
Coping with floods: preparedness, response and recovery of flood-affected residents in Germany in 2002
10.1623/hysj.52.5.1016 · 2007 · External reference
A data-driven framework for flood mitigation: transformer-based damage prediction and reinforcement learning for reservoir operations
10.3390/w17203024 · 2025 · External reference
Designing an inundation monitoring and real-time urban flood forecasting system: a synthetic study
10.1016/j.jhydrol.2026.135520 · 2026 · External reference
UIDS: a Matlab-based urban flood model considering rainfall-induced and surcharge-induced inundations
10.1016/j.envsoft.2024.106132 · 2024 · External reference
Building a generalized pre-training model to predict river water-level from radar rainfall
10.3390/w17243449 · 2025 · External reference
Near real-time flood mapping with weakly supervised machine learning
10.3390/rs15133263 · 2023 · External reference
Invited perspectives: how machine learning will change flood risk and impact assessment
10.5194/nhess-20-1149-2020 · 2020 · External reference
Multi-variable flood damage modelling with limited data using supervised learning approaches
10.5194/nhess-17-1683-2017 · 2017 · External reference
Uncertainty in flood damage estimates and its potential effect on investment decisions
10.5194/nhess-16-1-2016 · 2016 · External reference
Non-intrusive reduced order modeling of unsteady flows using artificial neural networks with application to a combustion problem
10.1016/j.jcp.2019.01.031 · 2019 · External reference
Rapid prediction of flood inundation by interpolation between flood library maps for real-time applications
10.1016/j.jhydrol.2022.127735 · 2022 · External reference
Developing a flood risk assessment model with genetic algorithm-based weights
10.1016/j.jhydrol.2024.131902 · 2024 · External reference
Hydrodynamic modelling and flood risk analysis of urban catchments under multiple scenarios: a case study of Dongfeng Canal district, Zhengzhou
10.3390/ijerph192214630 · 2022 · External reference
Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance
10.3354/cr030079 · 2005 · External reference
New insights into US flood vulnerability revealed from flood insurance big data
10.1038/s41467-020-15264-2 · 2020 · External reference
Physics-guided deep learning for spatiotemporal evolution of urban pluvial flooding
10.3390/w17081239 · 2025 · External reference
A ConvLSTM-based model for urban flood prediction under dynamic rainfall patterns and exploration on its extrapolation capability
10.1007/s13753-025-00685-8 · 2025 · External reference
A hybrid surrogate model for real-time coastal urban flood prediction: an application to Macao
10.1016/j.jhydrol.2024.131863 · 2024 · External reference
Urban flood modeling and forecasting with deep neural operator and transfer learning
10.1016/j.jhydrol.2025.133705 · 2025 · External reference
The quantification of flood damage using K-FRM
2023 · External reference
Training machine learning surrogate models from a high-fidelity physics-based model: application for real-time street-scale flood prediction in an urban coastal community
10.1029/2019wr027038 · 2020 · External reference
Hybrid surrogate model for timely prediction of flash flood inundation maps caused by rapid river overflow
10.3390/forecast4010007 · 2022 · External reference
High temporal resolution urban flood prediction using attention-based LSTM models
10.1016/j.jhydrol.2023.129499 · 2023 · External reference
Deep learning of flood forecasting by considering interpretability and physical constraints
10.5194/hess-29-5955-2025 · 2025 · External reference
Evaluation of emergency response capacity of urban pluvial flooding public service based on scenario simulation
2022 · External reference
A hybrid method based on proper orthogonal decomposition and deep neural networks for flow and heat field reconstruction
10.1016/j.eswa.2024.123137 · 2024 · External reference
Impact of urbanization on regional rainfall–runoff processes: case study in Jinan City, China
10.3390/rs15092383 · 2023 · External reference
A study on compound flood prediction and inundation simulation under future scenarios in a coastal city
10.1016/j.jhydrol.2023.130475 · 2024 · External reference
A rapid flood inundation modelling framework using deep learning with spatial reduction and reconstruction. Environ
10.1016/j.envsoft.2021.105112 · 2021 · External reference
