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Effects of storm clustering on beach/dune evolution

Pushpa Dissanayake, Jennifer Brown, Paul Wisse, Harshinie Karunarathna Orcid Logo

Marine Geology, Volume: 370, Pages: 63 - 75

Swansea University Author: Harshinie Karunarathna Orcid Logo

DOI (Published version): 10.1016/j.margeo.2015.10.010

Abstract

Impacts of storm clustering on beach/dune morphodynamics were investigated by applying the state-of-the-art numerical model XBeach to Formby Point (Sefton coast, UK). The adopted storm cluster was established by analysing the observed winter storms from December 2013 to January 2014 using a storm th...

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Published in: Marine Geology
Published: 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa25977
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spelling 2018-09-17T11:24:48.6090312 v2 25977 2016-01-27 Effects of storm clustering on beach/dune evolution 0d3d327a240d49b53c78e02b7c00e625 0000-0002-9087-3811 Harshinie Karunarathna Harshinie Karunarathna true false 2016-01-27 CIVL Impacts of storm clustering on beach/dune morphodynamics were investigated by applying the state-of-the-art numerical model XBeach to Formby Point (Sefton coast, UK). The adopted storm cluster was established by analysing the observed winter storms from December 2013 to January 2014 using a storm threshold wave height. The first storm that occurred during this period is regarded as exceptionally intense, and the occurrence of such a cluster of events is very unusual. A 1D model was setup for the highly dynamic cross-shore at Formby Point. After initial calibration of the model parameters against available post-storm profile data, the model was used for the simulation of the storm cluster. It was assumed that no beach recovery occurred between adjacent storms due to the very short time intervals between storms. As a result, the final predicted post-storm profile of the previous storm was used as the pre-storm profile of the subsequent storm. The predicted evolution during each storm was influenced by the previous storms in the cluster. Due to the clustering effect, the bed level change is not proportional to the storm power of events within the cluster, as it would be in an individual storm case. Initially, the large storm events interact with the multi-bared foreshore enabling the subsequent weaker storms to influence the upper beach and lower dune system. This results in greater change at the dune toe level also during less severe subsequent storms. It is also shown that the usual water level threshold used to define dune erosion is over predicted by about 1 m for extreme storm conditions. The predicted profile evolution provides useful insights into the morphodynamic processes of beach/dune systems during a storm cluster (using Formby Point as an example), which is very useful for quantifying the clustering effects to develop tools for coastal management. Journal Article Marine Geology 370 63 75 Storm cluster, Dune erosion, Profile evolution, XBeach, Sefton coast, Formby point 1 12 2015 2015-12-01 10.1016/j.margeo.2015.10.010 Open Access funded by Engineering and Physical Sciences Research Council Under a Creative Commons license COLLEGE NANME Civil Engineering COLLEGE CODE CIVL Swansea University RCUK 2018-09-17T11:24:48.6090312 2016-01-27T11:38:15.4152853 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering Pushpa Dissanayake 1 Jennifer Brown 2 Paul Wisse 3 Harshinie Karunarathna 0000-0002-9087-3811 4 0025977-01042016142604.pdf Dissanayake2015MG.pdf 2016-04-01T14:26:04.7470000 Output 2763876 application/pdf Version of Record true 2016-04-01T00:00:00.0000000 true
title Effects of storm clustering on beach/dune evolution
spellingShingle Effects of storm clustering on beach/dune evolution
Harshinie Karunarathna
title_short Effects of storm clustering on beach/dune evolution
title_full Effects of storm clustering on beach/dune evolution
title_fullStr Effects of storm clustering on beach/dune evolution
title_full_unstemmed Effects of storm clustering on beach/dune evolution
title_sort Effects of storm clustering on beach/dune evolution
author_id_str_mv 0d3d327a240d49b53c78e02b7c00e625
author_id_fullname_str_mv 0d3d327a240d49b53c78e02b7c00e625_***_Harshinie Karunarathna
author Harshinie Karunarathna
author2 Pushpa Dissanayake
Jennifer Brown
Paul Wisse
Harshinie Karunarathna
format Journal article
container_title Marine Geology
container_volume 370
container_start_page 63
publishDate 2015
institution Swansea University
doi_str_mv 10.1016/j.margeo.2015.10.010
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Civil Engineering
document_store_str 1
active_str 0
description Impacts of storm clustering on beach/dune morphodynamics were investigated by applying the state-of-the-art numerical model XBeach to Formby Point (Sefton coast, UK). The adopted storm cluster was established by analysing the observed winter storms from December 2013 to January 2014 using a storm threshold wave height. The first storm that occurred during this period is regarded as exceptionally intense, and the occurrence of such a cluster of events is very unusual. A 1D model was setup for the highly dynamic cross-shore at Formby Point. After initial calibration of the model parameters against available post-storm profile data, the model was used for the simulation of the storm cluster. It was assumed that no beach recovery occurred between adjacent storms due to the very short time intervals between storms. As a result, the final predicted post-storm profile of the previous storm was used as the pre-storm profile of the subsequent storm. The predicted evolution during each storm was influenced by the previous storms in the cluster. Due to the clustering effect, the bed level change is not proportional to the storm power of events within the cluster, as it would be in an individual storm case. Initially, the large storm events interact with the multi-bared foreshore enabling the subsequent weaker storms to influence the upper beach and lower dune system. This results in greater change at the dune toe level also during less severe subsequent storms. It is also shown that the usual water level threshold used to define dune erosion is over predicted by about 1 m for extreme storm conditions. The predicted profile evolution provides useful insights into the morphodynamic processes of beach/dune systems during a storm cluster (using Formby Point as an example), which is very useful for quantifying the clustering effects to develop tools for coastal management.
published_date 2015-12-01T03:31:04Z
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score 11.016235

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