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. © 2021 The Authors
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License of this version: | CC BY-NC-ND 4.0 Unported - https://creativecommons.org/licenses/by-nc-nd/4.0/ |
Publication type: | Article |
Publishing status: | publishedVersion |
Publication date: | 2021 |
Keywords english: | Beach/dune erosion, Classification of storm events, Coastal hazard, Formby point, Inter-storm recovery, Numerical modelling, Sefton coast, Statistical analysis, XBeach, Beaches, Coastal engineering, Erosion, Offshore oil well production, Water levels, Beach morphologies, Coastal management, Critical condition, Near-shore waters, Response functions, Significant wave height, Storm classification, Storm erosion, Storms, beach erosion, classification, coastal zone management, dune, hazard management, numerical model, statistical analysis, storm, structural response, England, Sefton, United Kingdom |
DDC: | 550 | Geowissenschaften, 380 | Handel, Kommunikation, Verkehr |
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