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Full-Text Articles in Physical Sciences and Mathematics
A Demonstration Of A Simple Methodology Of Flood Prediction For A Coastal City Under Threat Of Sea Level Rise: The Case Of Norfolk, Va, Usa, Tal Ezer
CCPO Publications
Many coastal cities around the world are at risk of increased flooding due to sea level rise (SLR), so here a simple flood prediction method is demonstrated for one city at risk, Norfolk, VA, on the U.S. East Coast. The probability of future flooding is estimated by extending observed hourly water level for 1927–2021 into hourly estimates until 2100. Unlike most other flood prediction methods, the approach here does not use any predetermined probability distribution function of extreme events, and instead a random sampling of past data represents tides and storm surges. The probability of flooding for 3 different flood …
Automation And Coupling Of Models For Coastal Flood Forecasting In South Texas, Cesar Davila Hernandez, Sara E. Davila, Martin Flores, Jungseok Ho, Dong-Chul Kim
Automation And Coupling Of Models For Coastal Flood Forecasting In South Texas, Cesar Davila Hernandez, Sara E. Davila, Martin Flores, Jungseok Ho, Dong-Chul Kim
Computer Science Faculty Publications and Presentations
Forecasting natural disasters such as inundations can be of great help for emergency bodies and first responders. In coastal communities, this risk is often associated with storm surge. To produce flood forecasts for coastal communities, a system must incorporate models capable of simulating such events based on forecasted weather conditions. In this work, a system for forecasting inundations based predominantly on storm surge is explored. An automation and a coupling strategy were implemented to produce forecasted flood maps automatically. The system leverages an ocean circulation model and a channel water flow model to estimate flood events in South Texas specially …