Assessment of beach and dune erosion and accretion using LiDAR: Impact of the stormy 2013–14 winter and longer term trends on the Sefton Coast, UK

Pye, Kenneth; Blott, Simon J.

doi:10.1016/j.geomorph.2016.05.011

Cited by 80 publications

(52 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For instance, the winter 2013/2014, which was characterized by a striking pattern of temporal and spatial extreme storm clustering (Davies, ) with the highest winter average wave height since at least 1948 (Masselink, Castelle, et al, ), was associated with an average positive NAO but with the highest WEPA over the period. In addition to flooding issues in western Europe (Thorne, ), these storms and associated storm waves caused dramatic coastal erosion and coastal structure damages (e.g., Autret et al, ; Castelle et al, ; Masselink, Scott, et al, ; Masselink, Castelle, et al, ; Pye & Blott, ; Suanez et al, ).…”

Section: Introductionmentioning

confidence: 99%

Increased Winter‐Mean Wave Height, Variability, and Periodicity in the Northeast Atlantic Over 1949–2017

Castelle

Dodet

Masselink

et al. 2018

Geophysical Research Letters

View full text Add to dashboard Cite

A 69‐year (1948–2017) numerical weather and wave hindcast is used to investigate the interannual variability and trend of winter wave height along the west coast of Europe. Results show that the winter‐mean wave height, variability, and periodicity all increased significantly in the northeast Atlantic over the last seven decades which primarily correlate with changes in the climate indices North Atlantic Oscillation (NAO) and West Europe Pressure Anomaly (WEPA) affecting atmospheric circulation in the North Atlantic. NAO and WEPA primarily explain the increase in winter‐mean wave height and periodicity, respectively, while both WEPA and NAO explain the increase in interannual variability. This increase in trend, variability, and periodicity resulted in more frequent high‐energy winters with high NAO and/or WEPA over the last decades. The ability of climate models to predict the winter NAO and WEPA indices a few months ahead will be crucial to anticipate coastal hazards in this region.

show abstract

Section: Introductionmentioning

confidence: 99%

Increased Winter‐Mean Wave Height, Variability, and Periodicity in the Northeast Atlantic Over 1949–2017

Castelle

Dodet

Masselink

et al. 2018

Geophysical Research Letters

View full text Add to dashboard Cite

show abstract

“…However, long‐term evolution of coastal dunes in response to climate change is not simply a response of a progressive rise in sea level, but strongly depends on the cumulative impacts of individual storm events and storm clusters (Cooper et al , ; Ferreira, ; Dissanayake et al , ). Therefore, there has been a growing interest during the last decades for improving our understanding of the factors controlling coastal dune erosion and their response to severe storms and storm clusters (Judge et al , ; Claudino‐Sales et al , ; Houser et al , ; van Rijn, ; Mull and Ruggiero, ; Tatui et al , ; Pye and Blott, ; Silva et al , ).…”

Section: Introductionmentioning

confidence: 99%

“…The paper focuses on shoreline evolution along the Bay of Wissant and between Dunkirk and the Belgium border (Figure ), two sites where significant coastal erosion, but also shoreline progradation, were observed during the last decades (Ruz et al , ; Aernouts and Héquette, ). The 2014 LiDAR survey was conducted shortly after a series of storms that hit Western Europe during the autumn and winter 2013–2014 (Blaise et al , ; Castelle et al , ; Pye and Blott, ), which is considered as one of the stormiest periods for several decades due to repeated storms over several months (Matthews et al , ; Masselink et al , ). This survey enabled a spatial evaluation of the variability of shoreline response to high‐magnitude storms along these coastal sites.…”

Section: Introductionmentioning

confidence: 99%

Variations in the response of the dune coast of northern France to major storms as a function of available beach sediment volume

Crapoulet

Héquette

Marin

et al. 2017

Earth Surf Processes Landf

View full text Add to dashboard Cite

A series of airborne topographic LiDAR data were obtained from May 2008 to January 2014 over two coastal sites of northern France (Bay of Wissant and east of Dunkirk). These data were used with wind and tide gauge measurements to assess the impacts of storms on beaches and coastal dunes, and particularly of the series of major storms that hit western Europe during the fall and early winter of 2013. Our results show a high variability in shoreline response from one site to the other, but also within each coastal site. Coastal dune erosion and shoreline retreat occurred at both sites, particularly on the coast of the Bay of Wissant where shoreline retreat up to about 40 m was measured. However, stability or even shoreline advance were also observed despite the occurrence of an extreme water level with a return period >100 years during the storm Xaver in early December 2013. Comparison of shoreline change with variations of coastal dune and upper beach volumes revealed only weak relationships. Our results nevertheless showed that shoreline behavior seems to strongly depend on the initial sediment volume on the upper beach before the occurrence of the storms. According to our measurements, an upper beach volume of about 30 m3 m−1 between the dune toe and the mean high water level is sufficient at these sites to protect the coastal dunes from storm waves associated with high water levels with return periods >10 years. The identification of such thresholds in terms of upper beach width or sediment volume may represent valuable information for improving the management of shoreline change by providing an estimate of the minimum quantity of sand on the upper beach necessary to ensure shoreline stability in this region. Copyright © 2016 John Wiley & Sons, Ltd.

show abstract

“…They estimated that with the 15 cm vertical accuracy of the LiDAR data, the error in the calculated parameters would range from~1% to 6% depending upon beach 'thickness' (its height relative to the survey datum). A number of more recent studies have extracted beach parameters from LiDAR data including dune toe and crest positions (Houser et al, 2008;Stockdon et al, 2009;Pye and Blott, 2016) and shorelines (Robertson et al, 2004;Liu et al, 2007;Houser et al, 2008). As with Saye et al (2005), Stockdon et al (2009) extracted profiles from the LiDAR digital elevation model (DEM) which in turn were used to calculate relevant beach parameters, in this case dune crest location.…”

Section: Introductionmentioning

confidence: 99%

Characterizing beach intertidal bar systems using multi‐annual LiDAR data

Miles

Ilic

Whyatt

et al. 2019

Earth Surf Processes Landf

View full text Add to dashboard Cite

Intertidal bars are common in mesotidal/macrotidal low‐to‐moderate energy coastal environments and an understanding of their morphodynamics is important from the perspective of both coastal scientists and managers. However, previous studies have typically been limited by considering bar systems two‐dimensionally, or with very limited alongshore resolution. This article presents the first multi‐annual study of intertidal alongshore bars and troughs in a macrotidal environment using airborne LiDAR (light detection and ranging) data to extract three‐dimensional (3D) bar morphology at high resolution. Bar and trough positions are mapped along a 17.5 km stretch of coastline in the northwest of England on the eastern Irish Sea, using eight complete, and one partial, LiDAR surveys spanning 17 years. Typically, 3–4 bars are present, with significant obliquity identified in their orientation. This orientation mirrors the alignment of waves from the dominant south‐westerly direction of wave approach, undergoing refraction as they approach the shoreline. Bars also become narrower and steeper as they migrate onshore, in a pattern reminiscent of wave shoaling. This suggests that the configuration of the bars is being influenced by overlying wave activity. Net onshore migration is present for the entire coastline, though rates vary alongshore, and periods of offshore migration may occur locally, with greatest variability between northern and southern regions of the coastline. This work highlights the need to consider intertidal bar systems as 3D, particularly on coastlines with complex configurations and bathymetry, as localized studies of bar migration can overlook 3D behaviour. Furthermore, the wider potential of LiDAR data in enabling high‐resolution morphodynamic studies is clear, both within the coastal domain and beyond. © 2019 John Wiley & Sons, Ltd.

show abstract

Assessment of beach and dune erosion and accretion using LiDAR: Impact of the stormy 2013–14 winter and longer term trends on the Sefton Coast, UK

Cited by 80 publications

References 27 publications

Increased Winter‐Mean Wave Height, Variability, and Periodicity in the Northeast Atlantic Over 1949–2017

Increased Winter‐Mean Wave Height, Variability, and Periodicity in the Northeast Atlantic Over 1949–2017

Variations in the response of the dune coast of northern France to major storms as a function of available beach sediment volume

Characterizing beach intertidal bar systems using multi‐annual LiDAR data

Contact Info

Product

Resources

About