Observations of wave breaking and surf zone width from a real-time cross-shore array of wave and current sensors at Duck, NC

Author(s):  
Ryan P. Mulligan ◽  
Jeffrey L. Hanson ◽  
Kent K. Hathaway
1988 ◽  
Vol 1 (21) ◽  
pp. 46
Author(s):  
Scott L. Douglass ◽  
J. Richard Weggel

The influence of wind on nearshore breaking waves was investigated in a laboratory wave tank. Breaker location, geometry, and type depended upon the wind acting on the wave as it broke. Onshore winds tended to cause waves to break earlier, in deeper water, and to spill: offshore winds tended to cause waves to break later, in shallower water, and to plunge. A change in wind direction from offshore to onshore increased the surf zone width by up to 100%. Wind's effect was greatest for waves which were near the transition between breaker types in the absence of wind. For onshore winds, it was observed that microscale breaking can initiate spilling breaking by providing a perturbation on the crest of the underlying wave as it shoals.


2020 ◽  
Author(s):  
Erin King ◽  
Daniel Conley ◽  
Gerd Masselink ◽  
Nicoletta Leonardi ◽  
Robert McCarroll ◽  
...  

<p>Embayed beaches separated by irregular rocky headlands represent around 50% of the world’s shoreline and are important zones ecologically and commercially. Accurate determination of sediment budgets is necessary for prediction of coastal change over long timescales in these zones. Some headlands have been shown to permit sediment bypassing under particular forcing conditions, therefore knowledge of sediment inputs and outflows via headland bypassing are important for sediment budget closure. Recent modelling work demonstrates bypassing rates are predictable for an isolated headland, however, it remains to test this predictability using a range of real headland morphologies, and to examine the influence of embayment morphology, sediment availability and tidal effects.</p><p>We show that bypassing rates are strongly influenced by the relative proximity between adjacent headlands, and the degree of embaymentisation. Tidal currents are secondary to wave forcing, mildly moderating bypass rates, whereas tidal elevation strongly influences bypassing rates largely through variations in apparent headland and embayment morphology.</p><p>A fully coupled (3D hydrodynamics and waves) numerical model was used to simulate sand transport along a 75 km long macrotidal, embayed coast in the north of Cornwall, UK. Twenty-five embayments were included in the analysis. Nine wave conditions were simulated and bypass rates were analysed for three tidal elevations. Simulations were performed with both uniform sediment availability and a realistic spatial distribution of sediment, and both including and excluding tidal currents. It is shown that many of the embayments along this stretch of coast exhibit headland bypassing under energetic wave forcing, highlighting the need for accurate bypass rate predictions for sediment budget determination on embayed coasts.</p><p>Headland extent relative to surf-zone width was a critical control on sand bypass rates in line with previous work. Predictive expressions were accurate to within a factor of 4 for beaches exhibiting a ‘normal’ circulation pattern (embayment length long relative to surf zone width), however, they did not predict well cases where embayment cellular circulation was dominant (embayment length short relative to surf zone width).  Tidal currents exhibited a secondary control relative to wave forcing, moderating bypass rates by up to 20% in this macrotidal environment. Large differences in the apparent morphology of the embayments between high and low tide strongly impact bypassing rates, with greatest bypassing occurring at low-tide when headland cross-shore length is smallest. Bypass rates were reduced for realistic sediment distributions versus uniform sediment availability, due to larger transport magnitudes when sediment is available off the headland toe.</p><p>This work highlights the extent to which headland bypassing occurs along this embayed coast with implications for similar coasts worldwide. It also emphasises the need for accurate predictions of headland bypassing in these regions and suggests areas for further efforts to focus to refine future predictive parameterisations.</p>


2019 ◽  
Author(s):  
Patrick Dickhudt ◽  
Nicholas Spore ◽  
Katherine Brodie ◽  
A. Bak

Author(s):  
Francisco Soto ◽  
Patricio Catalan

In this work, a data assimilation approach treating bathymetry as an uncertain model parameter, is introduced where direct dissipation estimates from remote sensing data are the unique data source. Two dimensional wave breaking dissipation fields are retrieved on a wave-by-wave basis with the algorithms of Daz et al. (2018), who were able to reliably estimate breaking dissipation by removing spurious signals affecting electro-optical and microwave data. After a six hour application, the system was able to retrieve improved bathymetric estimates, without any in situ depth measurement. A prominent feature of this approach is its ability to reliably capture the amplitude and position of nearshore sandbars.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/Y7mgiSvmRYc


2004 ◽  
Vol 37 (6) ◽  
pp. 461-466
Author(s):  
Jong-Kil Hwang ◽  
Young-Taek Kim ◽  
Yong-Sik Cho
Keyword(s):  

2019 ◽  
Vol 11 (7) ◽  
pp. 859 ◽  
Author(s):  
Daniel Buscombe ◽  
Roxanne J. Carini

We apply deep convolutional neural networks (CNNs) to estimate wave breaking type (e.g., non-breaking, spilling, plunging) from close-range monochrome infrared imagery of the surf zone. Image features are extracted using six popular CNN architectures developed for generic image feature extraction. Logistic regression on these features is then used to classify breaker type. The six CNN-based models are compared without and with augmentation, a process that creates larger training datasets using random image transformations. The simplest model performs optimally, achieving average classification accuracies of 89% and 93%, without and with image augmentation respectively. Without augmentation, average classification accuracies vary substantially with CNN model. With augmentation, sensitivity to model choice is minimized. A class activation analysis reveals the relative importance of image features to a given classification. During its passage, the front face and crest of a spilling breaker are more important than the back face. For a plunging breaker, the crest and back face of the wave are most important, which suggests that CNN-based models utilize the distinctive ‘streak’ temperature patterns observed on the back face of plunging breakers for classification.


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