Geomorphological analysis and classification of foredune ridges based on Terrestrial Laser Scanning (TLS) technology

Fabbri, Stefano; Giambastiani, Beatrice Maria Sole; Sistilli, Flavia; Scarelli, Frederico M.; Gabbianelli, Giovanni

doi:10.1016/j.geomorph.2017.08.003

Cited by 44 publications

(34 citation statements)

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“…Others have also suggested scaling issues that occur when linking microscale transport processes to mesoscale dune evolution (Sherman, ; Davidson‐Arnott and Law, 1996; Arens, ; Fabbri et al ., ). For example, high winds often accompany high waves and water levels and increased precipitation, which reduce fetch and increase the surface moisture on the beach, reducing transport – processes that are unaccounted for in these simplified transport models (e.g.…”

Section: Discussionmentioning

confidence: 97%

“…Multiple researchers have identified that temporal variability in foredune volume change has a stronger link to storm erosional processes (i.e. waves) than to aeolian transport potential (Keijsers et al ., ; Fabbri et al ., ). The use of the von Karman constant (0.4) in the derivation of shear velocity, as opposed to the apparent von Karman parameter that is transport‐rate dependent, may also lead to increases in the magnitude of Q (Sherman et al ., ).…”

Section: Discussionmentioning

confidence: 97%

“…Frequent terrestrial LiDAR scanning (TLS) has been used recently to study beach‐dune morphodynamics and can help resolve small‐ and large‐scale dynamics, including storm response and recovery (e.g. Montreuil, ; Schubert et al ., ; Fairley et al ., ; Fabbri et al ., ; Smith et al ., ; Telling et al ., ; Brodie et al ., ).…”

Section: Introductionmentioning

confidence: 97%

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Terrestrial LiDAR monitoring of coastal foredune evolution in managed and unmanaged systems

Conery

Brodie

Spore

et al. 2020

Earth Surf Processes Landf

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Coastal dunes provide essential protection for infrastructure in developed regions, acting as the first line of defence against ocean‐side flooding. Quantifying dune erosion, growth and recovery from storms is critical from management, resiliency and engineering with nature perspectives. This study utilizes 22 months of high‐resolution terrestrial LiDAR (Riegl VZ‐2000) observations to investigate the impact of management, anthropogenic modifications and four named storms on dune morphological evolution along ~100 m of an open‐coast, recently nourished beach in Nags Head, NC. The influences of specific management strategies – such as fencing and plantings – were evaluated by comparing these to the morphologic response at an unmanaged control site at the USACE Field Research Facility (FRF) in Duck, NC (33 km to the north), which experienced similar environmental forcings. Various beach‐dune morphological parameters were extracted (e.g. backshore‐dune volume) and compared with aeolian and hydrodynamic forcing metrics between each survey interval. The results show that LiDAR is a useful tool for quantifying complex dune evolution over fine spatial and temporal scales. Under similar forcings, the managed dune grew 1.7 times faster than the unmanaged dune, due to a larger sediment supply and enhanced capture through fencing, plantings and walkovers. These factors at the managed site contributed to the welding of the incipient dune to the primary foredune over a short period of less than a year, which has been observed to take up to decades in natural systems. Storm events caused alongshore variable dune erosion primarily to the incipient dune, yet also caused significant accretion, particularly along the crest at the managed site, resulting in net dune growth. Traditional empirical Bagnold equations correlated with observed trends of backshore‐dune growth but overpredicted magnitudes. This is likely because these formulations do not encompass supply‐limiting factors and erosional processes. © 2019 John Wiley & Sons, Ltd.

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Section: Discussionmentioning

confidence: 97%

Section: Discussionmentioning

confidence: 97%

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Terrestrial LiDAR monitoring of coastal foredune evolution in managed and unmanaged systems

Conery

Brodie

Spore

et al. 2020

Earth Surf Processes Landf

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“…Significant wave height (H 1/3 ) is the mean wave height of the largest one third of the waves, recorded hourly. Relative storm intensity (SI) was calculated as follows:

bold-italicSI bold-italic= \sum_{bold-italici bold-italic= bold1}^{n} {({bold-italicH}_{1 / 3}_{i})}^{2}

where n is the duration in hours (> = 6) during which the significant wave height of the event exceeds twice the yearly average significant wave height (Fabbri et al, ; Mendoza & Jiménez, ). For the study region, the yearly average significant wave height is 2.17 m. Relative water level information was interpreted from the time‐lapse imagery and used due to the lack of nearby tide gauge information at this remote site.…”

Section: Methodsmentioning

confidence: 99%

“…where n is the duration in hours (> = 6) during which the significant wave height of the event exceeds twice the yearly average significant wave height (Fabbri et al, 2017;Mendoza & Jiménez, 2005). For the study region, the yearly average significant wave height is 2.17 m. Relative water level information was interpreted from the time-lapse imagery and used due to the lack of nearby tide gauge information at this remote site.…”

Section: Journal Of Geophysical Research: Earth Surfacementioning

confidence: 99%

The Role of Large Woody Debris in Beach‐Dune Interaction

2019

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Coastal foredune evolution involves complex processes and controls that result from the interaction of aeolian and nearshore dynamics. No studies to date have quantified and examined the role of large woody debris (LWD) as a modulator of sediment delivery across the backshore and as a control on foredune development and maintenance. Results from a 4‐year research initiative on a high‐energy, macrotidal beach, and foredune system show that storm events lead to wave‐induced erosion of the backshore and consequent reworking of the LWD matrix. The exposed LWD matrix subsequently traps wind‐blown sand on the upper beach, reducing sediment delivery to the foredune by 99% in some cases. In turn, deposition within the LWD matrix leads to rapid burial of the LWD, at least until the next reworking or dune erosion event occurs. Interannual observations at this site indicate that infilling of the accommodation space within the LWD matrix can be rapid, so sediment starvation of the foredune is typically a relatively short‐lived phase. This suggests that that the LWD matrix is a highly effective, yet ephemeral, sand‐trapping reservoir. Critical to these interactions is the frequency and magnitude of nearshore events that erode the beach periodically and reorganize the LWD matrix, which directly impacts the ability of LWD to modulate onshore sand transport to the foredune, store sediment in the backshore, and act as a buffer against erosive events. An empirically derived conceptual model explaining these relationships is presented.

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Evaluating the recovery of beach-dune systems from the 2016 El Niño using unmanned aerial systems (UAS) and terrestrial laser scanning (TLS)

Grilliot¹,

Walker

Heathfield³

2018

Preprint

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Geomorphological analysis and classification of foredune ridges based on Terrestrial Laser Scanning (TLS) technology

Cited by 44 publications

References 50 publications

Terrestrial LiDAR monitoring of coastal foredune evolution in managed and unmanaged systems

Terrestrial LiDAR monitoring of coastal foredune evolution in managed and unmanaged systems

The Role of Large Woody Debris in Beach‐Dune Interaction

Evaluating the recovery of beach-dune systems from the 2016 El Niño using unmanned aerial systems (UAS) and terrestrial laser scanning (TLS)

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