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Using a two-step framework for the investigation of storm impacted beach/dune erosion

Pushpa Dissanayake*, Jennifer Brown, Philipp Sibbertsen, Christian Winter

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer review

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 languageEnglish
Article number103939
JournalCoastal engineering
Volume168
Early online date12 Jun 2021
DOIs
Publication statusPublished - Sept 2021

UN Sustainable Development Goals (SDGs)

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 14 - Life Below Water
    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

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