A CNN-LSTM Method for the Morphology Evolution Prediction of Beach Mega-Nourishment

Sand nourishment is widely adopted as an effective soft approach to provide long-term coastal safety, protect the ecology environment, and promote tourism and recreation. With the increase in frequency and expenses in beach nourishment worldwide, an adequate prediction of morphology evolution is greatly desired for coastline management. Based on...

Morphological impact of a storm can be predicted three days ahead

People living behind coastal dunes depend on the strength and resilience of dunes for their safety. Forecasts of hydrodynamic conditions and morphological change on a timescale of several days can provide essential information to protect lives and property. In order for forecasts to protect they need be relevant, accurate, provide lead time,...

Next Generation Hydro Software

An overview paper, describes motivation and main deliverables of the Next Generation Hydro Software (NGHS) project. Important technological innovations include development of the new computational core Delft3D Flexible Mesh, as well as the open modelling environment Delta Shell.

Confidence in Coastal Forecasts

This thesis answers the question "How can we show and improve our confidence in coastal forecasts?", by providing four examples of common coastal forecasts. The first example shows how to improve the estimate of the one in ten thousand year storm-surge level. The three dimensional reconstruction, based on paintings, shows that structural erosion...