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Project

A field-based model predicting early-stage dune development

In the context of climate change and strict requirements for water safety, dunes are receiving considerable attention as a cost-effective design feature in coastal protection projects. In order to properly design and maintain a healthy dune system, it is important for coastal communities to first thoroughly understand the geomorphic processes involved. Because of uncertainty in the forces forming, shaping and maintaining dunes, managing these developing areas at a range of spatiotemporal scales requires an adaptive management approach based on scientific input. The development of coastal dunes cannot be predicted accurately due to lack of process knowledge. With this project, we aim to develop a field-based model predicting early-stage dune development providing the link to an integrated coastal zone model describing long-term coastal evolution. First, we will quantify aeolian sediment transport processes as driving factor for dune development by collecting a high-quality dataset through dedicated field campaigns. Secondly, and in parallel, we will couple aeolian sediment transport to topographic evolution at an engineered dune featuring recently planted marram grass. Lastly, we will setup and validate a process-based model to predict dune development. These objectives will allow for a comprehensive description of the physical processes describing coastal dune development and will also provide the required tool for the evaluation of managing strategies in the coastal system.

Date:1 Oct 2021 →  Today
Keywords:dune development, field experiments, aeolian sediment transport
Disciplines:Geomorphology and landscape evolution, Remote sensing, Coastal and estuarine hydraulics