Research & Projects

SEAWAD: SEdiment supply At the WAdden Sea ebb-tidal Delta

Supervisors: Dr. ir. Bram van Prooijen (TU Delft) and Prof. dr. ir. Zheng Bing Wang (Deltares/TU Delft).

The aim of the SEAWAD (SEdiment supply At the WAdden Sea ebb-tidal Delta)project is to improve system understanding of sediment transport pathways within tidal inlets, using Ameland Inlet as a case study.  Insights developed in SEAWAD will be applied in order to design efficient and sustainable nourishments for ebb-tidal deltas of the Wadden Sea. 

Sediment transport pathways are highly dependent on the grain size. This is especially true for complex environments like ebb-tidal deltas where morphological change is driven by the interaction between waves and currents. 

Research Questions:

  • What is the spatial variation in grain size distribution on the ebb-tidal delta?
  • What are the transport pathways for different grain sizes?
  • What is the effect of particle size distribution on the fate of a nourishment?
  • How will a nourishment change the native sediment composition of the coast, inlet, and Wadden Sea?

Read more about the project here or follow our progress on ResearchGate here.

Ameland Inlet and ebb-tidal delta (Google Earth, 2015).

BEWARE: Bayesian Estimator of Wave Attack in Reef Environments

Collaboration between Deltares, USGS, and TU Delft

Supervisors: Ir. Ap van Dongeren, PhD (Deltares), Dr. Curt Storlazzi (USGS), Dr. Marion Tissier (TU Delft), Prof. dr. ir. Ad Reniers (TU Delft)

This project further develops the work that I carried out for my master’s thesis at Deltares and TU Delft in 2016: Predicting Wave-Induced Flooding on Low-Lying Tropical Islands Using a Bayesian Network.

Waves breaking on the reef at Majuro Atoll, Republic of the Marshall Islands (Google Earth, 2014).

Permafrost erosion

Collaboration between NTNU and Baird & Associates

Rapid coastal erosion threatens Arctic coastal infrastructure, including communities and industrial installations. Erosion of permafrost depends on numerous processes, including thermal and mechanical behaviour of frozen and unfrozen soil, nearshore hydrodynamics, atmospheric forcing, and the presence of sea ice. The quantification and numerical modelling of these processes is essential to predicting Arctic coastal erosion.

Thermo-mechanical Erosion Modelling using COSMOS: A case study at Baydaratskaya Bay, Russia

Baydaratskaya Bay coastline showing permafrost cliffs and thermokarst formations (MSU, 2015).