Quantifying the Rapid Evolution of a Nourishment Project with Video Imagery

Elko, Nicole; Holman, Robert A.; Gelfenbaum, Guy

doi:10.2112/04-0280.1

Cited by 33 publications

(18 citation statements)

References 9 publications

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“…This error value is acceptable, being of comparable magnitude to the excursion of the swash‐zone during calm days and corresponding to about 6 cm of vertical range for an average intertidal slope of 1:15. The estimated error is of the same order of magnitude (or even less) as those obtained in the use of the Argus system for shoreline detection (Elko et al , ; Plant et al , ; Ruggiero and List, ; Ruiz de Alegria‐Arzaburu and Masselink, ), although recent applications resulted in lower errors (0·5 m, Plant and Holman, ; 0·4 m, Siegle et al , ).…”

Section: Methodssupporting

confidence: 56%

Analysis of the effects of different storm events on shoreline dynamics of an artificially embayed beach

Archetti

Romagnoli

2011

Earth Surf Processes Landf

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A five-year dataset of Argus-derived mean intertidal positions has been analysed to characterize the shoreface variability in a beach protected by a system of groynes and a parallel low crested structure (Lido di Dante Ravenna, Italy). For the period [2004][2005][2006][2007][2008][2009] 84 intertidal beach bathymetries and shorelines at the zero sea level were used as indicators to assess beach changes in between a number of selected surveys and to determine characteristic patterns of the beach response to storm events from different directions. Variations in the shoreline at the zero sea levels have been quantified and analysed in conjunction with nearshore wave conditions and provenance linked to storm events. These fall into two categories: (1) storm events occurring during Bora (north-eastern) wind conditions and (2) storm events occurring during Scirocco (south-eastern) wind conditions. The results show that, apart from main beach advances of the whole protected beach due to nourishments periodically carried out, a marked variability is observed among the four sub-cells into which the shoreface behaviour has been separately analysed. In particular, a dependence of beach rotation in the 'artificially embayed' area on the substantially bi-directional wave climate has been shown: Bora and Scirocco storm events produce shoreline rotation in counterclockwise and clockwise directions, respectively, due to the occurrence of longshore currents in the opposite direction in the nearshore. An attempt was made to correlate the shoreface dynamics for the main rotation events (14 selected ones) to the wave attack intensity (as the total energy flux due to storm events). A relationship seems to occur (for each storm category) between the shoreline displacements estimated for each sub-cell and the total energy flux computed for inter-survey periods, supporting the occurrence of a link between the observed morphological changes and the hydrodynamic forcing associated with storm events in the five-year monitoring period.

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Section: Methodssupporting

confidence: 56%

Analysis of the effects of different storm events on shoreline dynamics of an artificially embayed beach

Archetti

Romagnoli

2011

Earth Surf Processes Landf

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“…A single station can monitor a region of~5 km, obtaining a resolution of~0.2 m and~20 m in cross-and along-shore directions, respectively [4]. The high spatial and temporal resolution has made ARGUS a valuable data source for detailed investigation of coastal processes (e.g., [5][6][7]). However, for monitoring coastal systems on wider spatial scales and/or in developing countries, these systems are relatively costly and limited in coverage.…”

Section: Introductionmentioning

confidence: 99%

Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data

et al. 2017

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This paper presents a semi-automated approach to detecting coastal shoreline change with high spatial-and temporal-resolution using X-band synthetic aperture radar (SAR) data. The method was applied at the Sand Motor, a "mega-scale" beach nourishment project in the Netherlands. Natural processes, like waves, wind, and tides, gradually distribute the highly concentrated sand to adjacent beaches. Currently, various in-situ techniques are used to monitor the Sand Motor on a monthly basis. Meanwhile, the TerraSAR-X satellite collects two high-resolution (3 × 3 m), cloud-penetrating SAR images every 11 days. This study investigates whether shorelines detected in TerraSAR-X imagery are accurate enough to monitor the shoreline dynamics of a project like the Sand Motor. The study proposes and implements a semi-automated workflow to extract shorelines from all 182 available TerraSAR-X images acquired between 2011 and 2014. The shorelines are validated using bi-monthly RTK-GPS topographic surveys and nearby wave and tide measurements. A valid shoreline could be extracted from 54% of the images. The horizontal accuracy of these shorelines is approximately 50 m, which is sufficient to assess the larger scale shoreline dynamics of the Sand Motor. The accuracy is affected strongly by sea state and partly by acquisition geometry. We conclude that using frequent, high-resolution TerraSAR-X imagery is a valid option for assessing coastal dynamics on the order of tens of meters at approximately monthly intervals.

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“…Argus [ Holman and Stanley , 2007] and other image‐based coastal monitoring systems are now widespread around the world's coastlines, covering a broad parameter space in terms of wave climates, sedimentology and tidal range. Increasingly, video remote sensing is being used for practical coastal zone management applications [e.g., Elko et al , 2005; Turner et al , 2006; Davidson et al , 2007; Medina et al , 2007; Kroon et al , 2007; Jiménez et al , 2007; Van Koningsveld et al , 2007; Turner and Anderson , 2007] and more recently the calibration of nearshore models. For example, Smit et al [2007] investigated how video‐derived data sets of shoreline change, which are typically recorded at much higher frequency (daily or even hourly) than traditional surveys, might be used in conjunction with nonlinear methodologies to forecast daily to monthly shoreline behavior with a greater degree of accuracy than simple linear methods.…”

Section: Introductionmentioning

confidence: 99%

A behavioral template beach profile model for predicting seasonal to interannual shoreline evolution

Davidson

Turner

2009

J. Geophys. Res.

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[1] This contribution presents a simple behavioral template model for beach profile evolution which is calibrated and tested against a 6-year time series of shoreline position, derived from a coastal imaging system at the Gold Coast, Australia. From a coastal management perspective, the position of the shoreline is arguably one of the most important morphodynamic parameters to be monitored and predicted and therefore forms the focus of this paper. The template model attempts to encapsulate some of the current understanding of coastal dynamics deduced from both scientific investigations and observations. The model framework is based on a simple relaxation model, whereby the profile approaches a template exponentially with time under conditions of constant forcing. The template evolves dynamically in response to incident wave forcing such that when a threshold value of the dimensionless fall velocity (W = H s /wT p , where H s = offshore significant wave height, T p = peak wave period, and w = sediment fall velocity) is exceeded, the beach face erodes and flattens, and the shoreline retreats landward, forming an erosional scarp and a breakpoint bar. Conversely, when the W falls below threshold, progradation and steepening of the shoreface ensues, accompanied by the evolution of a swash bar and breakpoint step. The Gold Coast data are used to calibrate the threshold value of W (%4.0) which is close to the time series mean (3.8). Testing the calibrated model on unseen data shows that it is able to reproduce the dominant seasonal/interannual shoreline succession observed at this site and up to 77% of the detrended shoreline variability.

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Quantifying the Rapid Evolution of a Nourishment Project with Video Imagery

Cited by 33 publications

References 9 publications

Analysis of the effects of different storm events on shoreline dynamics of an artificially embayed beach

Analysis of the effects of different storm events on shoreline dynamics of an artificially embayed beach

Semi-Automated Monitoring of a Mega-Scale Beach Nourishment Using High-Resolution TerraSAR-X Satellite Data

A behavioral template beach profile model for predicting seasonal to interannual shoreline evolution

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