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Edinburgh DataShare
Doctoral thesis . 2023
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Modelling shoreline morphology and sand transport in Golspie with MIKE 21

Authors: McLean, Katherine;

Modelling shoreline morphology and sand transport in Golspie with MIKE 21

Abstract

To respond to site-specific coastal flooding concerns, it is important to understand sediment movement in addition to overall shoreline change. This report applies GIS data to MIKE modelling software to observe sand transport in Golspie, Scotland, following predicted flooding scenarios made by the Dynamic Coast project. A combination of openly sourced data was adapted for modelling inputs for the MIKE 21/3 Coupled Model and one year of simulated hydrodynamic processes. The shoreline profiles outside of Golspie’s town and beach showed high levels of erosion while the areas outside of Golspie golf course and Loch Fleet nature reserve remained steady, indicating a need for flood mitigation solutions centred around the town and its infrastructure. Sand erosion along Golspie’s coast in model results suggests that sand nourishment could directly benefit Golspie beach, though high wave velocity could remove added sediment more quickly than at other shoreline segments. Open-source data created a functioning model but verification with fieldwork is recommended for future MIKE use. Additionally, wave action recordings and bathymetry data were integral to MIKE model and module creation, and improvements to the quality of either would lead to more accurate model results.

Country
United Kingdom
Related Organizations
Keywords

Sediment modelling, sand transport, Scotland, MIKE 21, environmental modelling, shoreline morphology, Sediment modelling, environmental modelling, sand transport, Scotland, MIKE 21, shoreline morphology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green