Predicting combined tidal and pluvial flood inundation using a machine learning surrogate model

Pipedream: An interactive digital twin model for natural and urban drainage systems

(2021) Matthew Bartos et al.   ENVIRONMENTAL MODELLING & SOFTWARE

U-FLOOD – Topographic deep learning for predicting urban pluvial flood water depth

(2021) Roland Löwe et al.   JOURNAL OF HYDROLOGY

Exploring real-time control of stormwater systems for mitigating flood risk due to sea level rise

(2020) Jeffrey M. Sadler et al.   JOURNAL OF HYDROLOGY

High-tide flooding disrupts local economic activity

(2019) Miyuki Hino et al.   Science Advances

An ensemble neural network model for real-time prediction of urban floods

(2019) Simon Berkhahn et al.   JOURNAL OF HYDROLOGY

Flood Risk Assessment and Increased Resilience for Coastal Urban Watersheds under the Combined Impact of Storm Tide and Heavy Rainfall

(2019) Yawen Shen et al.   JOURNAL OF HYDROLOGY

A cloud-based flood warning system for forecasting impacts to transportation infrastructure systems

(2018) Mohamed M. Morsy et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Surrogate modeling of joint flood risk across coastal watersheds

(2018) Benjamin Bass et al.   JOURNAL OF HYDROLOGY

Recent and Future Outlooks for Nuisance Flooding Impacts on Roadways on the US East Coast

(2018) Jennifer M. Jacobs et al.   TRANSPORTATION RESEARCH RECORD

Development and Comparison of Two Fast Surrogate Models for Urban Pluvial Flood Simulations

(2018) María Bermúdez et al.   WATER RESOURCES MANAGEMENT

What Is Nuisance Flooding? Defining and Monitoring an Emerging Challenge

(2018) Hamed R. Moftakhari et al.   WATER RESOURCES RESEARCH

Advances in surrogate modeling for storm surge prediction: storm selection and addressing characteristics related to climate change

(2018) Jize Zhang et al.   NATURAL HAZARDS

Future Nuisance Flooding in Norfolk, VA, From Astronomical Tides and Annual to Decadal Internal Climate Variability

(2018) A. G. Burgos et al.   GEOPHYSICAL RESEARCH LETTERS

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

(2017) Muhammad Waseem Ahmad et al.   ENERGY AND BUILDINGS

An integrated two-stage support vector machine approach to forecast inundation maps during typhoons

(2017) Bing-Chen Jhong et al.   JOURNAL OF HYDROLOGY

Estimating economic damage from climate change in the United States

(2017) Solomon Hsiang et al.   SCIENCE

Sea level rise drives increased tidal flooding frequency at tide gauges along the U.S. East and Gulf Coasts: Projections for 2030 and 2045

(2017) Kristina A. Dahl et al.   PLoS One

Evaluating the impact and risk of pluvial flash flood on intra-urban road network: A case study in the city center of Shanghai, China

(2016) Jie Yin et al.   JOURNAL OF HYDROLOGY

A flood inundation modelling using v-support vector machine regression model

(2015) Yang Liu et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Increased nuisance flooding along the coasts of the United States due to sea level rise: Past and future

(2015) Hamed R. Moftakhari et al.   GEOPHYSICAL RESEARCH LETTERS

Coastal flood damage and adaptation costs under 21st century sea-level rise

(2014) Jochen Hinkel et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Real-time urban flood forecasting and modelling – a state of the art

(2013) Justine Henonin et al.   JOURNAL OF HYDROINFORMATICS

Future flood losses in major coastal cities

(2013) Stephane Hallegatte et al.   Nature Climate Change

Coupled 1D and Noninertia 2D Flood Inundation Model for Simulation of Urban Flooding

(2012) Solomon Dagnachew Seyoum et al.   JOURNAL OF HYDRAULIC ENGINEERING

Clustering-based hybrid inundation model for forecasting flood inundation depths

(2010) Li-Chiu Chang et al.   JOURNAL OF HYDROLOGY

Scalability of an Unstructured Grid Continuous Galerkin Based Hurricane Storm Surge Model

(2010) S. Tanaka et al.   JOURNAL OF SCIENTIFIC COMPUTING

Empirical characterization of random forest variable importance measures

(2007) Kellie J. Archer et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS