Coastal geoindicators: Towards the establishment of a common framework for sandy coastal environments

Carapuço, Mafalda Marques; Taborda, Rui; Silveira, Tanya M.; Psuty, Norbert P.; Andrade, César; Freitas, Maria Conceição

doi:10.1016/j.earscirev.2016.01.002

Cited by 34 publications

(19 citation statements)

References 18 publications

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“…Both coastline and shoreline definitions have been debated over time and there are challenges in adopting single and objective definitions due to the dynamic nature of coasts (cf. Boak and Turner, 2005;Alves, 2007) and efforts have been made towards establishing a common framework as proposed by Carapuço et al (2016).…”

Section: Coastline and Shoreline Indicatorsmentioning

confidence: 99%

“…1 The coastline position (stricto sensu), a morphology-based concept representing the landward limit of the beach and materialized by the foredune toe or the seaward limit of the dune vegetation (Webb and Kench, 2010;Ford, 2012; Adnan et al, 2016Carapuço et al, 2016. From here, the term coastline refers to its stricto sensu.…”

Section: Coastline and Shoreline Indicatorsmentioning

confidence: 99%

“…From here, the term coastline refers to its stricto sensu. 2 The shoreline position representing the physical interface of land and water (Dolan et al, 1980;Carapuço et al, 2016;Evadzi et al, 2017) by means of the imagery-based recognition of the high-water swash line, according to Boak and Turner (2005) the most frequent shoreline indicator.…”

Section: Coastline and Shoreline Indicatorsmentioning

confidence: 99%

“…In most cases, small islands economies are also highly dependent on coastal attractiveness typically grounded on the concept of stable and pristine beaches. In this context, the assessment of past coastline changes is critical (Crowell et al, 1991;Alesheikh et al, 2007) as knowledge will support the understanding of the main drivers of change and contribute to a sustainable coastal environmental planning (Di et al, 2003;Alesheikh et al, 2007;Ahmad and Lakhan, 2012;Ford, 2013;Carapuço et al, 2016). Thus, it is of scientific, economic and social relevance to understand the processes that control coastal evolution, such as erosion and recovery (Hapke et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

“…Thus, it is of scientific, economic and social relevance to understand the processes that control coastal evolution, such as erosion and recovery (Hapke et al, 2016). In this context, the assessment of past coastline changes is critical (Crowell et al, 1991;Alesheikh et al, 2007) as knowledge will support the understanding of the main drivers of change and contribute to a sustainable coastal environmental planning (Di et al, 2003;Alesheikh et al, 2007;Ahmad and Lakhan, 2012;Ford, 2013;Carapuço et al, 2016). Despite the unquestionable importance of these studies most of the works that have dealt with this theme generally have a local character (e.g.…”

Section: Introductionmentioning

confidence: 99%

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Drivers of island beach evolution: insights from an island‐scale study at Boa Vista (Cabo Verde)

Gomes

Silva

Taborda

et al. 2019

Earth Surf Processes Landf

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Beach erosion poses significant threat to small island economies which are generally highly dependent on coastal tourism. This work investigates the evolution of the low‐lying sandy coast of Boa Vista through an integrated characterization of coastline and shoreline indicators (over the past four decades) based on aerial imagery. It was found that tandem use of the two indicators was important to obtain a reliable perspective of the Boa Vista low‐lying coastal evolution across a wide range of coastal environments. Results indicate that between 1968 and 2010 the coast was relatively stable, although some spatial variability was recognized. The largest changes were observed at the tips of embayed beaches and a clear coastal progradation was found at the southern (downwind) coastal sectors. Coastal evolution has been dominated by sediment budget and the results put in evidence the sedimentary connections between the beaches across the island, either through bypass and overpass processes. Findings show that understanding coastal evolution at low‐lying islands should be supported on island‐scale observations, being the only scale capable to capture the sedimentary connections between beach systems, that often control coastal evolution. © 2019 John Wiley & Sons, Ltd. © 2019 John Wiley & Sons, Ltd.

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Section: Coastline and Shoreline Indicatorsmentioning

confidence: 99%

Section: Coastline and Shoreline Indicatorsmentioning

confidence: 99%

Section: Coastline and Shoreline Indicatorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Drivers of island beach evolution: insights from an island‐scale study at Boa Vista (Cabo Verde)

Gomes

Silva

Taborda

et al. 2019

Earth Surf Processes Landf

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Semi‐empirically modelling barrier sediment transport in response to hydrodynamic forcing using UAV‐derived topographical data (Holgate, New Jersey)

Schmelz,

Spector,

Neitzke‐Adamo

et al. 2024

Earth Surf Processes Landf

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We conducted monthly surveys, from October 2020 to May 2021, of coastal topography in Holgate, New Jersey. Using unmanned aerial vehicle (UAV)‐photogrammetry and RTK‐GNSS equipment, we generated digital elevations models and cross‐section profiles, capturing spatiotemporal variability in volumetric change. We measured a total loss of 27 500 ± 10 500 m3 of subaerial sediment through the study. From October 2020 to February 2021, over 59 600 ± 10 500 m3 of sediment was eroded, followed by 32 100 ± 10 500 m3 of deposition from February to May 2021. We developed a semi‐empirical model correlating the measured geomorphological change to wave energy and water‐level variations. The calibrated model identified storm conditions that caused erosion and that waves from the south to southeast caused more erosion than those from the east to northeast. These results emphasise that alongshore transport represents a critical component of sediment transport dynamics relevant to beach erosion. Using the calibrated model, we quantified the impact of water‐level variations and wave energy on net sediment transport for a stretch of barrier coastline. Specifically, a water‐level increase of 0.14 m (equivalent to a 1σ variation) generated slightly less erosion (1.18 m3/m per 48 h) than the same variance‐based increase in wave energy, which generates 1.44 m3/m of erosion per 48 h. These variables strongly covary. Alongshore transport modulates the relationship, increasing erosion 0.9 m3/m per 48 h with a 1σ shift in wave energy directed alongshore. Forcing from strong storms, hindcast from 8 years of data, can produce 15–20 m3/m of erosion per 48 h. This modelling approach represents a methodology to produce estimates of potential erosion under predicted storm conditions, which is inherently valuable to coastal management and resilience planning. Our study demonstrates cost‐effective data collection and robust analytical methods that can be applied globally to benefit both the understanding of coastal geomorphology and local communities through data‐driven natural resource management.

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Coastal Hazard Indicators

Ferreira¹

2017

Encyclopedia of Earth Sciences Series

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Coastal geoindicators: Towards the establishment of a common framework for sandy coastal environments

Cited by 34 publications

References 18 publications

Drivers of island beach evolution: insights from an island‐scale study at Boa Vista (Cabo Verde)

Drivers of island beach evolution: insights from an island‐scale study at Boa Vista (Cabo Verde)

Semi‐empirically modelling barrier sediment transport in response to hydrodynamic forcing using UAV‐derived topographical data (Holgate, New Jersey)

Coastal Hazard Indicators

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