Abstract
Long-term coastal management of beach/dune systems requires the definition and assessment of storm events. This study presents a framework using statistical analyses and numerical modelling (XBeach) to characterize storm events and investigate their impact on beach/dune erosion. The method is developed using exemplary data from Formby Point on the Sefton coast (UK), which has a complex beach morphology and frontal dunes. Relevant storm events are classified by a versatile univariate response function taking into account both nearshore water levels and offshore significant wave heights (Hs). It is shown that compared to the established storm classification (Hs ≥ 2.5 m) 35% more storm events that are relevant for beach/dune erosion are identified. Also the events exceed critical conditions for longer durations, and cause greater erosion impact (12%) along the beach/dune profile. The proposed classification of storm events thus captures relevant events for the storm erosion and can inform coastal management strategies. This framework is widely applicable to other beach/dune systems.
| Original language | English |
|---|---|
| Article number | 103939 |
| Journal | Coastal engineering |
| Volume | 168 |
| Early online date | 12 Jun 2021 |
| DOIs | |
| Publication status | Published - Sept 2021 |
UN Sustainable Development Goals (SDGs)
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 14 Life Below Water
Keywords
- Beach/dune erosion
- Classification of storm events
- Coastal hazard
- Formby point
- Inter-storm recovery
- Numerical modelling
- Sefton coast
- Statistical analysis
- XBeach
ASJC Scopus subject areas
- Environmental Engineering
- Ocean Engineering
Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver