Recent flood events in Europe, the USA and elsewhere have shown the devastating impact
that flooding can have on people and property. Flood warning and forecasting systems …

In this study, an artificial neural network model was developed to predict storm surges in all
Korean coastal regions, with a particular focus on regional extension. The cluster neural …

Accurate and timely water level predictions are essential for effective shoreline and coastal
ecosystem management. As sea levels rise, the frequency and severity of coastal inundation …

Tide tables are the method of choice for water level predictions in most coastal regions. In
the United States, the National Ocean Service (NOS) uses harmonic analysis and time …

Bangladesh coast is infamous for the negative impacts caused by storm surge inundation
that initially leads to damage of life and property but longer term devastation to coastal …

Deterministic Numerical Weather Prediction (NWP) models integrate the conservation
equations of atmospheric mass, heat, motion, and water. With respect to gridpoint NWP …

Tide tables are the method of choice for water level predictions in most coastal regions.
However, for many locations along the coast of the Gulf of Mexico, tide tables do not meet …

In this study, the artificial intelligence model of neural network methodology on the prediction
of storm surge was constructed and validated. In order to find the optimal model and …

Tidal Datums are utilized in the determination of littoral boundaries differentiating state
owned lowlands and privately owned uplands along the Texas Coastal shoreline. The …

The ports and waterways of the Texas Gulf Coast are of vital importance to the shipping
industry as well as the overall US economy. Safe navigation, particularly underkeel …