Observations of rip spacing, persistence and mobility at a long, straight coastline

Turner, Ian L.; Whyte, David; Ruessink, Gerben; Ranasinghe, Roshanka

doi:10.1016/j.margeo.2006.10.029

Cited by 68 publications

(53 citation statements)

References 25 publications

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“…Over the last three decades, a considerable amount of research effort has gone into understanding the morphodynamic processes governing the upstate/downstate transitions between beach states (as defined by Wright and Short, 1984), using field observations (Wright et al, 1985;Brander 1999), ARGUS video imaging (Lippmann andHolman, 1990;Ranasinghe et al, 2004, Turner et al 2007Ojeda et al, 2011;Price and Ruessink, 2011), and numerical modelling (Damgaard et al, 2002;Reniers et al, 2004;Drønen and Deigaard, 2007;Calvete et al, 2007;Smit et al, 2008;Castelle et al, 2012). However, to date, there has been no concerted research effort focussing specifically on the important issue of nearshore morphological recovery time scales.…”

Section: Introductionmentioning

confidence: 99%

Quantifying Nearshore Morphological Recovery Time Scales Using Argus Video Imaging: Palm Beach, Sydney and Duck, North Carolina

Ranasinghe

Holman

Schipper

et al. 2012

Int. Conf. Coastal. Eng.

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Time scales of post-storm nearshore morphological recovery and physical processes governing these time scales are poorly understood at present. The ability to predict nearshore morphological recovery time scales based on pre-, during-or post-resetting storm conditions is an essential requirement for building and validating scale aggregated models that operate at macro-and higher spatio-temporal scales. In this study, quality controlled ARGUS video derived beach states at Palm Beach, Sydney (4 years) and Duck, NC (2 years) and concurrent wave data are analysed to quantify the nearshore morphological recovery time scales (T mr ) and to determine the physical processes that may govern T mr . The results show that T mr is of the order of 5-10 days at these two beaches. T mr is moderately positively correlated with the averaged longshore current over the 3 days immediately after the resetting storm, indicating that it might be possible to develop a predictor for T mr based on wave conditions immediately after the resetting storm. Weak correlations are present between T mr and several pre-storm, during-storm and post-storm parameters at the two sites. However, these correlations are inconsistent between the two sites. A thorough analysis employing long-term beach state and wave data at several different study sites is required to fully understand this phenomenon.

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Section: Introductionmentioning

confidence: 99%

Quantifying Nearshore Morphological Recovery Time Scales Using Argus Video Imaging: Palm Beach, Sydney and Duck, North Carolina

Ranasinghe

Holman

Schipper

et al. 2012

Int. Conf. Coastal. Eng.

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“…The reported limitations of the Ranasinghe et al (1999) method (Holman et al, 2006Turner et al, 2007) were clear in the results, as detections on both the original and synthetic images produced considerable scatter. This is likely the result of the complex rip channel morphologies at Tairua, where rips orientated shore-normally are a minority occurrence.…”

Section: Discussionmentioning

confidence: 91%

“…These techniques were used to extract datasets of up to 4 years (e.g., Holman et al, 2006); timescales that would be unfeasible to measure in-situ. A major limiting factor on the length of rip datasets that can be generated is that all attempts thus far required various degrees of manual input (Bogle et al, 2000;Gallop et al, 2009;Holman et al, 2006;Quartel, 2009;Ranasinghe et al, 1999;Turner et al, 2007;Whyte et al, 2005). The majority of research using video images uses the raw image products (snapshot, timex, daytime, etc.)…”

Section: Introductionmentioning

confidence: 99%

Synthetic Imagery for the Automated Detection of Rip Currents

Pitman

Gallop

Haigh

et al. 2016

Journal of Coastal Research

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“…Many studies have measured rips in situ (Austin et al, 2009MacMahan et al, 2010;McCarroll et al, 2014b;Scott et al, 2014), and using video imagery (Ranasinghe et al, 1999;Bogle et al, 2001;Whyte et al, 2005;Holman et al, 2006;Turner et al, 2007;Gallop et al, 2009Gallop et al, , 2011, but very little research has attempted to combine in situ measurement of rips with video images for quantitative means. One study addressing this previously was Austin et al (2010), which quantified wave roller dissipation over the sand bar at Perranporth, U.K., and linked the intensity of breaking to rip pulsations.…”

Section: Accepted M Manuscriptmentioning

confidence: 99%

Wave breaking patterns control rip current flow regimes and surfzone retention

et al. 2016

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Abstract:Recent research into rip currents has revealed the existence of multiple circulation patterns, meaning that no single escape strategy is appropriate in all situations. Rip circulation is influenced by surfzone morphology, which can be inferred from wave breaking patterns in video imagery. Wave breaking often occurs over the bars adjacent to the rip channel, with little breaking over the seaward end of the rip. However, under varying wave and tide conditions, breaking can also occur at the seaward extent of rip channels. Here, we use this difference as a novel wave dissipation parameter to classify a rip channel as either 'open' or 'closed' in terms of rip-head wave breaking. A 4-day field study provided Lagrangian rip current data at a macrotidal, dissipative beach monitored by a coastal imaging system. Using this new parameter, rip channels that were identified as closed exhibited a 31 % increase in

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Observations of rip spacing, persistence and mobility at a long, straight coastline

Cited by 68 publications

References 25 publications

Quantifying Nearshore Morphological Recovery Time Scales Using Argus Video Imaging: Palm Beach, Sydney and Duck, North Carolina

Quantifying Nearshore Morphological Recovery Time Scales Using Argus Video Imaging: Palm Beach, Sydney and Duck, North Carolina

Synthetic Imagery for the Automated Detection of Rip Currents

Wave breaking patterns control rip current flow regimes and surfzone retention

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