Crossing borders in coastal morphodynamic modelling

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Abstract

Sand is the second-most used natural resource behind water and will be under increasingly high demand in coming decades. One of the reasons for this is that, worldwide, sand is more and more applied to counteract beach erosion.
This thesis presents new techniques in remote sensing and numerical modelling to better understand beach erosion and predict the dynamics of our sandy coastlines. To this end, it explores the crossing of three types of borders.

First, international borders are crossed in a global assessment of historic beach dynamics using satellite imagery. Second, the boundaries between model time scales - from storms to decadal times - are dissolved by means of a new morphodynamic acceleration technique. Finally, the developed seamless modelling approach enables to cross the ever-changing boundary between water and land, where sand moves from the wet to the dry domain and vice versa.

This work results in a landscaping model that can better forecast the future behavior of sandy beaches in a changing climate.