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PhD in Coastal Climate Change Adaptation: Developing Nature-Based Dune Landscape Solutions

Delft University of Technology Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering
Self-funded ⏰ Closing Soon 🎓 Civil Engineering 🎓 Environmental Science climate change remote sensing hydraulic engineering coastal adaptation dune landscape vegetation dynamics aerosol modeling urban environment

Explore how natural dune landscapes can be enhanced to protect coastal cities from climate change impacts. Study dune growth through fieldwork, remote sensing, and simulations, contributing to sustainable coastal defense solutions.

AI-generated overview

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Why This Research Matters

This research is critical for developing sustainable coastal protection strategies that leverage natural processes, reducing reliance on hard infrastructure. Enhancing dune landscapes can mitigate sea-level rise and storm impacts while preserving ecological integrity and supporting local communities in adapting to climate change.

Coastal Dunes Aeolian Processes Coastal Engineering Dune Erosion Aeolian Sediment Transport

Project Description

Project Overview

This PhD project is part of the European CORRAL initiative aimed at supporting local and regional authorities to implement socio-ecological-technological transformations that enhance coastal resilience. The focus is on developing a “Dune Park” in Scheveningen inspired by the Zandmotor pilot, applying vegetation planting strategies to trap wind-driven sediment. The natural elevation of coastal dunes is studied as a nature-based solution to combat sea-level rise, fostering the co-evolution of vegetation and dune morphology.

What You Will Do

  • Study the natural processes driving coastal dune growth in an urban environment.
  • Lead a fieldwork program measuring vegetation and morphological changes using GPS, drones, and remote sensing.
  • Simulate dune and vegetation evolution using the AeoLiS model.
  • Disseminate findings to stakeholders illustrating the site’s evolution and potential as sustainable coastal defense.

Expected Outcomes

The project expects to produce a robust understanding of urban coastal dune development, validated models of dune-vegetation evolution, and actionable knowledge for coastal defense strategies integrating natural processes. The outcomes will support the scaling of nature-based coastal adaptation solutions in diverse settings.

Why This Matters

Coastal areas face increasing threats from climate change, including sea-level rise and storm impacts. Understanding and harnessing natural dune growth processes can provide sustainable, cost-effective, and ecologically beneficial coastal protection. This research contributes to enhancing community preparedness and ecological integrity in vulnerable coastal systems.

Entry Requirements

MSc degree in Hydraulic Engineering, Physical Geography, Hydro-informatics, Civil Engineering or related discipline. Experience or strong interest in coastal modelling and engineering. Excellent programming skills (Python, SQL, Java, PyTorch, etc.). Good command of English.

Eligibility

UK/Home
EU
International

Supervisor Profile

DS
Dr. Sierd de Vries
Delft University of Technology, Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering

Dr. Sierd de Vries is affiliated with the Faculty of Civil Engineering and Geosciences at TU Delft, specializing in hydraulic engineering and coastal processes. His research includes the study of sediment dynamics, dune morphology, and innovative natural solutions to coastal protection. He works collaboratively on European projects like CORRAL, focusing on integrating ecological and engineering approaches to climate resilience.

Key Publications

2013 468 citations
A new alternative to saving our beaches from sea-level rise: The sand engine
Introduced the sand engine concept as a sustainable method to combat beach erosion and sea-level rise.
2016 240 citations
Initial spreading of a mega feeder nourishment: Observations of the Sand Engine pilot project
Provided observational data on sediment spreading dynamics from the Sand Engine pilot, informing coastal nourishment strategies.
2018 189 citations
On the accuracy of automated shoreline detection derived from satellite imagery: A case study of the sand motor mega-scale nourishment
Evaluated satellite imagery techniques for accurate shoreline detection, advancing remote sensing in coastal engineering.
2012 164 citations
Dune behavior and aeolian transport on decadal timescales
Analyzed long-term dune dynamics and sediment transport processes critical for coastal dune management.
2016 142 citations
A process‐based model for aeolian sediment transport and spatiotemporal varying sediment availability
Developed a model capturing sediment transport and availability variations, aiding prediction of dune evolution.

Research Contributions

Development and validation of the sand engine as an innovative coastal defense mechanism to counteract beach erosion and sea-level rise.
This approach provides a sustainable and adaptive method for shoreline protection benefiting vulnerable coastal areas.
Advanced understanding of aeolian sediment transport and dune dynamics over long temporal scales.
Improves predictive capabilities for coastal dune management and restoration projects.
Implementation of remote sensing and automated shoreline detection techniques for monitoring coastal nourishment effectiveness.
Enhances accuracy and efficiency in assessing coastal changes, supporting better-informed engineering decisions.

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