Equilibrium shoreline models (ESMs)

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Table of contents

1. Introduction
1.1. Context
1.2. Objectives and approach
1.3. Thesis outline
2. Study site, material and method
2.1. Truc Vert beach, past and future environmental conditions
2.2. Shoreline change models
2.3. Method
3. Integrating SLR-driven recession into equilibrium shoreline models
3.1. Introduction
3.2. Sea-Level-Driven Recession and Equilibrium Shoreline Models
3.3. Integrating Sea-Level Rise in Equilibrium Shoreline Models
3.4. Model Application
3.5. Discussion
3.6. Conclusions
4. Impact of model free parameters and sea-level rise uncertainties on a 20-year shoreline hindcast
4.1. Introduction
4.2. Data, models and method
4.3. Input probability distributions
4.4. Results
4.5. Discussion and conclusions
4.6. Conclusions
5. Uncertainties on future shoreline projections to 2100
5.1. Introduction
5.2. Material and method
5.3. Input probability distributions for future projections
5.4. Results
5.5. Discussion
5.6. Conclusions
6. Effects of stochastic wave forcing on equilibrium shoreline modelling across the 21st century
6.1. Introduction
6.2. Material and Methods
6.3. Input Uncertainties
6.4. Results
6.5. Discussion
6.6. Conclusions
7. Conclusions and perspectives
7.1. Conclusions
7.2. Research perspectives
Publications and presentations
Research articles
Conference presentations
References
Appendix A Methodology
A1. Direct formulation for wave refraction and breaking
A2. Global Sensitivity Analysis
Appendix B Supporting information for Chapter 3
B1. Passive Flooding, Wave Reshaping and the Bruun Rule
B2. Integrating SLR-Driven Disequilibrium into ESMs with Feedback
Appendix C Supporting information for Chapter 5
C1. Wave projections correction
C2. Construction of the high-end sea level scenario
C3. Model free parameters probability distribution
C4. Ensemble waves test with ShoreFor
Appendix D Supporting information for Chapter 6
D1. Wave ensemble and hindcast wave data comparison
D2. Sea-Level Rise
D3. Past scenario simulation with the Yates model