Details
| Original language | English |
|---|---|
| Article number | 103939 |
| Journal | Coastal engineering |
| Volume | 168 |
| Early online date | 12 Jun 2021 |
| Publication status | Published - Sept 2021 |
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.
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 Science(all)
- Environmental Engineering
- Engineering(all)
- Ocean Engineering
Sustainable Development Goals
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In: Coastal engineering, Vol. 168, 103939, 09.2021.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Using a two-step framework for the investigation of storm impacted beach/dune erosion
AU - Dissanayake, Pushpa
AU - Brown, Jennifer
AU - Sibbertsen, Philipp
AU - Winter, Christian
N1 - Funding Information: This study is part of the project MoDECS (Modification of Dune Erosion by adjacent Coastal Systems) funded by German Research Foundation (DFG) under the grant number DI 2139/2–1. Authors greatly acknowledge Andrew Martin from Sefton Metropolitan Borough Council for providing the field data. Franck Mazas from Artelia Group is acknowledged for providing the R-routine of wave transformation.
PY - 2021/9
Y1 - 2021/9
N2 - 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.
AB - 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.
KW - Beach/dune erosion
KW - Classification of storm events
KW - Coastal hazard
KW - Formby point
KW - Inter-storm recovery
KW - Numerical modelling
KW - Sefton coast
KW - Statistical analysis
KW - XBeach
UR - http://www.scopus.com/inward/record.url?scp=85107979153&partnerID=8YFLogxK
U2 - 10.1016/j.coastaleng.2021.103939
DO - 10.1016/j.coastaleng.2021.103939
M3 - Article
AN - SCOPUS:85107979153
VL - 168
JO - Coastal engineering
JF - Coastal engineering
SN - 0378-3839
M1 - 103939
ER -