Modeling urban coastal flood severity from crowd-sourced flood reports using Poisson regression and Random Forest

No abstract is available for this paper.

• Publication year

  2018

• Venue

  Journal of Hydrology

• Publication date

  2018-04-01

• Fields of study

  Engineering, Environmental Science

• Identifiers
  DOI 10.1016/J.JHYDROL.2018.01.044
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Sea-level rise and coastal groundwater inundation and shoaling at select sites in California, USA

  2017cited by this paper
• A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping

  2017cited by this paper
• An enhanced artificial neural network with a shuffled complex evolutionary global optimization with principal component analysis

  2017cited by this paper
• Developing reservoir monthly inflow forecasts using artificial intelligence and climate phenomenon information

  2017cited by this paper
• Non‐stationary bias correction of monthly CMIP5 temperature projections over China using a residual‐based bagging tree model

  2017cited by this paper
• Quantifying model structural error: Efficient Bayesian calibration of a regional groundwater flow model using surrogates and a data‐driven error model

  2017cited by this paper
• Effect of Rain Gauge Proximity on Rainfall Estimation for Problematic Urban Coastal Watersheds in Virginia Beach, Virginia

  2017cited by this paper
• Points of Significance: Classification and regression trees

  2017cited by this paper
• Machine learning algorithms for modeling groundwater level changes in agricultural regions of the U.S.

  2017cited by this paper
• Crowdsourced data for flood hydrology: Feedback from recent citizen science projects in Argentina, France and New Zealand

  2016cited by this paper
• Can urban pluvial flooding be predicted by open spatial data and weather data?

  2016cited by this paper
• Smarter Stormwater Systems.

  2016cited by this paper
• Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS

  2016cited by this paper
• Future nuisance flooding at Boston caused by astronomical tides alone

  2016cited by this paper
• Development of a data-driven semi-distributed hydrological model for regional scale catchments prone to Mediterranean flash floods

  2016cited by this paper
• Flood hazard risk assessment model based on random forest

  2015cited by this paper
• Increased nuisance flooding along the coasts of the United States due to sea level rise: Past and future

  2015cited by this paper
• caret: Classification and Regression Training

  2015cited by this paper
• Examining the Capability of Supervised Machine Learning Classifiers in Extracting Flooded Areas from Landsat TM Imagery: A Case Study from a Mediterranean Flood

  2015cited by this paper
• Simulating California reservoir operation using the classification and regression‐tree algorithm combined with a shuffled cross‐validation scheme

  2015influential reference
• Urban coastal flood prediction: Integrating wave overtopping, flood defenses and drainage

  2014cited by this paper
• From the extreme to the mean: Acceleration and tipping points of coastal inundation from sea level rise

  2014influential reference
• Accelerated flooding along the U.S. East Coast: On the impact of sea‐level rise, tides, storms, the Gulf Stream, and the North Atlantic Oscillations

  2014cited by this paper
• R: A language and environment for statistical computing.

  2014cited by this paper
• A survey on concept drift adaptation

  2014cited by this paper
• Comparing and combining physically-based and empirically-based approaches for estimating the hydrology of ungauged catchments

  2014cited by this paper
• Sensing and Cyberinfrastructure for Smarter Water Management: The Promise and Challenge of Ubiquity

  2014cited by this paper
• Machine learning and linear regression models to predict catchment‐level base cation weathering rates across the southern Appalachian Mountain region, USA

  2014cited by this paper
• Insights from socio-hydrology modelling on dealing with flood risk - Roles of collective memory, risk-taking attitude and trust

  2013cited by this paper
• Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

  2013influential reference
• Evaluation of a coastal flood inundation model using hard and soft data

  2012cited by this paper
• High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm

  2012cited by this paper
• Influence of mesh structure on 2D full shallow water equations and SCS Curve Number simulation of rainfall/runoff events

  2012cited by this paper
• Machine learning - a probabilistic perspective

  2012cited by this paper
• Classification and regression trees

  2011cited by this paper
• Topographic controls on overland flow generation in a forest - An ensemble tree approach

  2011cited by this paper
• The Analysis of Count Data: A Gentle Introduction to Poisson Regression and Its Alternatives

  2009cited by this paper
• A comparison of performance of several artificial intelligence methods for forecasting monthly discharge time series

  2009cited by this paper
• Learning from Imbalanced Data

  2009cited by this paper
• Comparison of 1D/1D and 1D/2D Coupled (Sewer/Surface) Hydraulic Models for Urban Flood Simulation

  2009cited by this paper
• An integrated system for publishing environmental observations data

  2009cited by this paper
• Global sea level linked to global temperature

  2009cited by this paper
• The impact of tidal flooding on a coastal community in Semarang, Indonesia

  2008cited by this paper
• Data-driven modelling: some past experiences and new approaches

  2008influential reference
• Convection Forecasts from the Hourly Updated, 3-km High Resolution Rapid Refresh Model

  2008cited by this paper
• Model-based monitoring for early warning flood detection

  2008cited by this paper
• Challenges in urban flood management: travelling across spatial and temporal scales

  2008cited by this paper
• Benchmarking 2D hydraulic models for urban flooding

  2008cited by this paper
• Classification and Regression by randomForest

  2007influential reference
• Flash flood forecasting: What are the limits of predictability?

  2007cited by this paper
• Vulnerability of Hampton Roads, Virginia to Storm-Surge Flooding and Sea-Level Rise

  2007cited by this paper
• Modeling floods in a dense urban area using 2D shallow water equations

  2006cited by this paper
• Validation and Evaluation of Predictive Models in Hazard Assessment and Risk Management

  2006cited by this paper
• Learning with Local Drift Detection

  2006cited by this paper
• Coupling meteorological and hydrological models for flood forecasting

  2005cited by this paper
• Simplified two-dimensional numerical modelling of coastal flooding and example applications

  2005cited by this paper
• Potential and limitations of 1D modelling of urban flooding

  2004cited by this paper
• INNOVATIVE APPROACHES TO FLOOD FORECASTING USING DATA DRIVEN AND HYBRID MODELLING

  2004cited by this paper
• Coastal wetland subsidence arising from local hydrologic manipulations

  2004cited by this paper
• M5 Model Trees and Neural Networks: Application to Flood Forecasting in the Upper Reach of the Huai River in China

  2004cited by this paper
• Random Forest: A Classification and Regression Tool for Compound Classification and QSAR Modeling

  2003cited by this paper
• Urban Hazard Mitigation: Creating Resilient Cities

  2003cited by this paper
• Stochastic modeling of flood peaks using the generalized extreme value distribution

  2002cited by this paper
• Changes in sea‐level

  2002cited by this paper
• Random Forests

  2001cited by this paper
• Poisson-Based Regression Analysis of Aggregate Crime Rates

  2000cited by this paper
• Classification and Regression Trees

  2000influential reference
• Regression Analysis of Count Data

  1998cited by this paper
• How Many Latent Classes of Delinquent/ Criminal Careers? Results from Mixed Poisson Regression Analyses1

  1998cited by this paper
• Regression analyses of counts and rates: Poisson, overdispersed Poisson, and negative binomial models.

  1995cited by this paper
• Zero-inflated Poisson regression, with an application to defects in manufacturing

  1992cited by this paper
• Epidemiologic programs for computers and calculators. Use of Poisson regression models in estimating incidence rates and ratios.

  1985cited by this paper
• Changes in the Sea

  1958cited by this paper

• Flood severity assessment using K-means and K-medoids clustering based on flood height and duration in Balikpapan City, Indonesia

  2026cites this paper
• Key Factors Influencing Flood Severity and Mapping of Flood Susceptibility in Northern Vietnam and Its Red River Delta From Landfalling Tropical Cyclones

  2026cites this paper
• Predictive Rehabilitation of Clean Water Customer Connections Leveraging Machine Learning Algorithms and Failure Time Series Data

  2026cites this paper
• A Flood Risk Analysis Framework Based on Causal Bayesian Networks

  2025cites this paper
• Advancing artificial intelligence in ocean and maritime engineering: Trends, progress, and future directions

  2025cites this paper
• Urban green infrastructure for flood resilience: Runoff sink-source regime shifts and vegetation structure influences

  2025cites this paper
• Application of machine learning-based post-processing to improve crowd-sourced urban rainfall categorizations

  2025cites this paper
• Artificial intelligence-incorporated prediction for urban flooding processes in the past 20 years: A critical review

  2025cites this paper
• Physics-Informed Neural Network Approach for Solving the One-Dimensional Unsteady Shallow-Water Equations in Riverine Systems

  2025cites this paper
• Analysis of urban flooding in Chicago based on crowdsourced data: drivers and the need for community-based mitigation strategies

  2025cites this paper
• A Hybrid DSCNN-GRU Based Surrogate Model for Transient Groundwater Flow Prediction

  2025cites this paper
• An Uncertainty Analysis of Low-Impact Development Based on the Hydrological Process with Invariant Parameters and Equivalent Effects: Supporting Sustainable Urban Planning

  2025cites this paper
• Structured exploration of machine learning model complexity for spatio-temporal forecasting of urban flooding

  2025cites this paper
• Capturing Urban Pluvial River Flooding Features Based on the Fusion of Physically Based and Data-Driven Approaches

  2025cites this paper
• Comprehensive assessment of flood risk and community impact of concentrated animal feeding operations in Iowa

  2025cites this paper
• Enhancing flexibility and efficiency for urban waterlogging response scenarios simulation: an open-ended approach involving user participation

  2025cites this paper
• Exploring infiltration effects on coastal urban flooding: Insights from nuisance to extreme events using 2D/1D hydrodynamic modeling and crowdsourced flood reports.

  2025cites this paper
• RescueAI: Real-Time Detection of Stranded Victims and Flood Severity Using Deep Learning

  2025influential citation
• Ecosystem leaf area, gross primary production, and evapotranspiration responses to wildfire in the Columbia River basin

  2025cites this paper
• Performance Improvement of a Multiple Linear Regression-Based Storm Surge Height Prediction Model Using Data Resampling Techniques

  2025cites this paper
• Uncovering the Drivers of Urban Flood Reports: An Environmental and Socioeconomic Analysis Using 311 Data

  2025cites this paper
• Linking hazard intensity to impact severity: mini review of vulnerability models for volcanic impact and risk assessment

  2024cites this paper
• Empirical causal analysis of flood risk factors on U.S. flood insurance payouts:Implications for solvency and risk reduction.

  2024cites this paper
• Understanding Spatiotemporal Patterns and Drivers of Urban Flooding Using Municipal Reports

  2024cites this paper
• Perbandingan Algoritma Machine Learning dalam Klasifikasi Status Banjir di Sumatera Utara

  2024cites this paper
• Advancing Coastal Flood Risk Prediction Utilizing a GeoAI Approach by Considering Mangroves as an Eco-DRR Strategy

  2024cites this paper
• Collaborative governance flood disaster mitigation in Indonesia

  2024cites this paper
• Smart Hotspot Detection Using Geospatial Artificial Intelligence: A Machine Learning Approach to Reduce Flood Risk

  2024cites this paper
• Towards development of a roadway flood severity index

  2024cites this paper
• Rapid forecasting of compound flooding for a coastal area based on data-driven approach

  2024cites this paper
• An integrated urban flooding risk analysis framework leveraging machine learning models: A case study of Xi'an, China

  2024cites this paper
• A combined qualitative–quantitative method for adaptive configuration of urban flood mitigation measure

  2024cites this paper
• Quantifying the Impact of Future Climate Change on Flood Susceptibility: An Integration of CMIP6 Models, Machine Learning, and Remote Sensing

  2024cites this paper
• Predicting real-time roadway pluvial flood risk: A hybrid machine learning approach coupling a graph-based flood spreading model, historical vulnerabilities, and Waze data

  2024cites this paper
• Impacts of climate change and land cover factor on runoff in the Coastal Chinese Mainland region

  2024cites this paper
• Uncovering Drivers of Atmospheric River Flood Damage Using Interpretable Machine Learning

  2024cites this paper
• A maximal overlap discrete wavelet packet transform coupled with an LSTM deep learning model for improving multilevel groundwater level forecasts

  2024cites this paper
• Quantifying the Impact of Climate Change on Peak Stream Discharge for Watersheds of Varying Sizes in the Coastal Plain of Virginia

  2024cites this paper
• Machine Learning–Based Framework for Prediction of Retroreflectivity Degradation of Pavement Markings across the US

  2024cites this paper
• Evaluation of CatBoost Method for Predicting Weekly Pan Evaporation in Subtropical and Sub-Humid Regions

  2024cites this paper
• Assessing wildfire impact on Trigonella elliptica habitat using random forest modeling.

  2024cites this paper
• Mapping Compound Flooding Risks for Urban Resilience in Coastal Zones: A Comprehensive Methodological Review

  2024cites this paper
• Risk assessment of nitrate groundwater contamination using GIS-based machine learning methods: A case study in the northern Anhui plain, China.

  2024cites this paper
• Developing an integrated PCE-ANOVA-RF method for uncertainty quantification of hydrological model – The Amu Darya River Basin in Central Asia

  2023cites this paper
• Estimating the likelihood of roadway pluvial flood based on crowdsourced traffic data and depression-based DEM analysis

  2023cites this paper
• Prediction of monthly precipitation using various artificial models and comparison with mathematical models

  2023cites this paper
• Rapid Prediction Model for Urban Floods Based on a Light Gradient Boosting Machine Approach and Hydrological–Hydraulic Model

  2023cites this paper
• Effect of urban neighbourhood layout on the flood intrusion rate of residential buildings and associated risk for pedestrians

  2023cites this paper
• Optimal Control of Combined Sewer Systems to Minimize Sewer Overflows by Using Reinforcement Learning

  2023cites this paper
• Gis-based machine learning algorithm for flood susceptibility analysis in the Pagla river basin, Eastern India

  2023cites this paper
• Deep Learning Models for Flood Predictions in South Florida

  2023cites this paper
• A review of recent advances in urban flood research

  2023cites this paper
• Urban agglomeration waterlogging hazard exposure assessment based on an integrated Naive Bayes classifier and complex network analysis

  2023cites this paper
• Exploring the relationship between flood insurance Claims, crowdsourced Rainfall, and tide levels for coastal urban Communities: Case study for the Mid-Atlantic United States

  2023cites this paper
• Deep Learning Models for Water Stage Predictions in South Florida

  2023cites this paper
• Stepwise integration of analytical hierarchy process with machine learning algorithms for landslide, gully erosion and flash flood susceptibility mapping over the North-Moungo perimeter, Cameroon

  2023cites this paper
• FlowDyn: A daily streamflow prediction pipeline for dynamical deep neural network applications

  2023cites this paper
• A Bayesian updating framework for calibrating the hydrological parameters of road networks using taxi GPS data

  2023cites this paper
• An exploratory framework to urban flood collaborative mitigation strategy considering synergistic effect of inundation volume

  2023cites this paper
• Investigating the Impact of Cumulative Pressure-Induced Stress on Machine Learning Models for Pipe Breaks

  2023cites this paper
• Learning-based restoration sequence ordering for multi-site traffic signal failure

  2022cites this paper
• Quantification of Compound Flooding over Roadway Network during Extreme Events for Planning Emergency Operations

  2022cites this paper
• Reinforcement learning-based real-time control of coastal urban stormwater systems to mitigate flooding and improve water quality

  2022cites this paper
• Assessing and predicting the severity of mid-winter breakups based on Canada-wide river ice data

  2022cites this paper
• Chamoli flash-flood mapping and evaluation with a supervised classifier and NDWI thresholding using Sentinel-2 optical data in Google earth engine

  2022cites this paper
• Flood Resilience through Crowdsourced Data Collection: Growing Engagement Faces Non-Uniform Spatial Adoption

  2022cites this paper
• Soil infiltration rates are underestimated by models in an urban watershed in central North Carolina, USA.

  2022cites this paper
• A Comparison between MLR, MARS, SVR and RF Techniques: Hydrological Time-series Modeling

  2022cites this paper
• Machine Learning-based Soft Computing Regression Analysis Approach for Crime Data Prediction

  2022cites this paper
• A Machine Learning Framework for Overflow Prediction in Combined Sewer Systems

  2022cites this paper
• An Integrated Statistical-Machine Learning Approach for Runoff Prediction

  2022cites this paper
• A machine learning approach to evaluate the spatial variability of New York City's 311 street flooding complaints

  2022cites this paper
• Design Flood Estimation using Extreme Gradient Boosting-based on Bayesian Optimization

  2022cites this paper
• Enhancement of Local Crowd Location and Count: Multiscale Counting Guided by Head RGB-Mask

  2022cites this paper
• Flood mapping based on the combination of support vector regression and Heun’s scheme

  2022cites this paper
• Flood Uncertainty Estimation Using Deep Ensembles

  2022cites this paper
• An overview of streamflow prediction using random forest algorithm

  2022influential citation
• Prediction of Oxidation Stability of Biodiesel Derived from Waste and Refined Vegetable Oils by Statistical Approaches

  2022cites this paper
• FlowDyn: A Dynamic Web-based Streamflow Prediction Pipeline

  2021cites this paper
• USING CROWDSOURCED DATA TO ASSESS AND MITIGATE IMPACTS OF RECURRENT FLOODING ON THE ROADWAY NETWORK

  2021cites this paper
• Assessing the Trustworthiness of Crowdsourced Rainfall Networks: A Reputation System Approach

  2021cites this paper
• Machine Learning Improvement of Streamflow Simulation by Utilizing Remote Sensing Data and Potential Application in Guiding Reservoir Operation

  2021cites this paper
• Coupling a hybrid CNN-LSTM deep learning model with a Boundary Corrected Maximal Overlap Discrete Wavelet Transform for multiscale Lake water level forecasting

  2021cites this paper
• Wavelet Packet-Genetic Programming: A New Model for Meteorological Drought Hindcasting

  2021cites this paper
• A review on applications of urban flood models in flood mitigation strategies

  2021cites this paper
• Estimating impacts of recurring flooding on roadway networks: a Norfolk, Virginia case study

  2021cites this paper
• Quantifying the Role of Vulnerability in Hurricane Damage via a Machine Learning Case Study

  2021cites this paper
• Improved flood susceptibility mapping using a best first decision tree integrated with ensemble learning techniques

  2021cites this paper
• A reinforced random forest model for enhanced crop yield prediction by integrating agrarian parameters

  2021cites this paper
• A machine learning model of virtual water networks over time

  2021cites this paper
• Do quadratic and Poisson regression models help to predict monthly rainfall?

  2021cites this paper
• Weighted instances handler wrapper and rotation forest-based hybrid algorithms for sediment transport modeling

  2021cites this paper
• The Key Reason of False Positive Misclassification for Accurate Large-Area Mangrove Classifications

  2021cites this paper
• A Study on Benefits of Big Data for Urban Flood Control in Surat City

  2021cites this paper
• Robust Meteorological Drought Prediction Using Antecedent SST Fluctuations and Machine Learning

  2021cites this paper
• Ensemble Learning Technology for Coastal Flood Forecasting in Internet-of-Things-Enabled Smart City

  2021cites this paper
• Observing tidal and storm generated wave height impact on groundwater levels in a tropical delta (the Sundarbans)

  2021cites this paper
• ‘Where oh where is the data?‘: Identifying data sources for hydrometeorological impact forecasts and warnings in Aotearoa New Zealand

  2021cites this paper
• Groundwater Level Prediction Using a Multiple Objective Genetic Algorithm-Grey Relational Analysis Based Weighted Ensemble of ANFIS Models

  2021cites this paper
• DEM Resolution Effects on Machine Learning Performance for Flood Probability Mapping

  2021cites this paper