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Scaling law governing the roughness of the swash edge line.

E Bormashenko1, A Musin1, R Grynyov2.   

Abstract

The paper is devoted to the analysis of the shape of the swash edge line. Formation of the swash boundary is treated as an interfacial phenomenon. The simplest quantitative characteristic of the roughness of interface is its width w, defined as the root-mean-square fluctuation around the average position. For rough interfaces, the scaling with size of the system L is observed in the form w(L)∝ L(ζ). The concept of scaling supplies a simple framework for classifying interfaces. It is suggested that the fine structure of the swash boundary results from the combined action of the pinning force applied by random defects of the beach and elasticity of distorted swash boundary. The roughness of the swash front was studied at the Mediterranean Sea coast for uprush and backwash flows. Value of exponent ζ for receding swash front line was 0.64 ± 0.02, when in the case of advancing swash the value 0.73 ± 0.03 was calculated. The scaling exponent established for the receding phase of the swash is very close to the values of the exponent established for the roughness of the triple line for water droplets deposited on rough surfaces, crack propagation front in Plexiglas, and for the motion of a magnetic domain walls.

Entities:  

Year:  2014        PMID: 25175319      PMCID: PMC5385825          DOI: 10.1038/srep06243

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


The physics of swash, i.e. a layer of water that washes up on the beach after an incoming wave has broken, is complicated and intriguing. It includes perplexing hydrodynamic and sediment transport events1234. The coastal strip is a highly dynamic zone and may include features with the dimensions ranging from microns to kilometers. Beach cusps are often arising in the swash zone presenting obstacles to the propagation of a wave front and promoting its breakdown1234. In our paper, we address the roughness of the moving swash boundary at which a beach, water and air meet. The roughness of the swash edge is characterized by a scaling law that relates the statistical width w of the boundary (i.e. the root-mean-square fluctuation of the edge line around its average position) to its length L via w(L)∝L law5678910. We treat the behavior of this boundary as an interfacial phenomenon, without going into details of the formation of edge waves and beach cusps, covered broadly in literature1234. This “crude” approach turns out to be productive and reveals the resemblance of the swash line to a broad diversity of effects arising from the random pinning of moving boundaries5678910. Swash consists of two phases: uprush (onshore flow) and backwash (offshore flow). We concentrate mainly on backwash (offshore flow), when water recedes along the beach face. The receding water front is pinned by randomly distributed obstacles, produced by the beach and constituting the roughness of the swash edge line. It is plausible to suggest that the fine structure of the swash edge line results from the combined action of the pinning force applied by defects of the beach and the elasticity of the distorted swash boundary. The problem is common for a number of physical systems comprising interfaces moving in a disordered medium; for example, self-affine crack propagation56, wet front propagation and movement of interfaces between immiscible liquids in porous media789, height distribution of growing surfaces1011, and growth of magnetic domain walls in disordered media12. However, the most investigated situation of interfaces moving over a disordered system of obstacles is the displacement of the triple (three-phase) line at which water, vapor and a rough (or chemically heterogeneous) surface meet1314151617. The shape of a triple line disturbed by the presence of random heterogeneities on the solid surface may be derived by a solution of the Laplace equation with the boundary conditions of the Young equation. With some simplifications, this is given by Shanahan18 and de Gennes19. The simplest quantitative characteristic of an interface is its width w, defined as the root-mean-square fluctuation around an average position. For rough interfaces, scaling with size of a system L is observed, which is expressed in the form meaning that the average width w grows as the size L is increased. The concept of scaling introduced in the field of interfaces by Family and Vicsek2021 gave a simple framework for classifying interfaces in various processes. Scaling laws describing the shape of the triple line were studied in many works13141516. A constant value of the roughness exponent ζ in a given physical system was proposed to express some universal law (independent on the topography of a relief but influenced by the ratio between the statistical width w and the length scale of obstacles), and gave rise to different models. Exponent values 1/2 and 1/3 (for fluctuations smaller and larger than the length scale of defects, respectively) were calculated by Robbins and Joanny22 and Joanny and de Gennes23, according to the model of long-range elastic forces. It was demonstrated in Refs. 22,23, that deformation of a wave vector k characterizing the contact line will distort the surface of the liquid over a distance k−1 (for the “normal” elasticity the distortion will scale as k−2). Assuming that the surface deforms instantaneously in response to the contact-line distortions, the elastic energy cost for the deformation can be calculated from the surface tension energy stored in the distorted area, and it is thus proportional to . The values of the roughness exponents derived by Robbins and Joanny22 were supposed to be universal for describing contact lines on surfaces with disordered defects. These values indeed were observed by Rolley et al.14 in their experiments with superfluid helium-4 on a cesium substrate with random disorder. Values of about 0.5 were measured for a water meniscus on a glass plate covered with random spots of chromium15. On the other hand, values of the roughness exponent measured in other experiments differed from the given theoretical predictions. Values in the region 0.82–0.87 were measured for water, and 0.77–0.86 for hexadecane on a chemically degraded fluorinated polymer surface13. Experiments performed with helium-4 deposited on a strongly disordered cesium substrate24 supplied the roughness exponent ζ = 0.56 ± 0.03. The value of ζ = 0.63 appeared in a number of different models, based on directed percolation25. This value was obtained for a wet front propagation in porous media8, and for the crack propagation fronts in plastics2627. In our recent work28, we measured the roughness exponent of the triple line of a water droplet deposited on a porous polymer (polycarbonate) substrate in a situation of the Cassie wetting, and we calculated the values 0.60 ± 0.05 for the receding triple line and 0.63 ± 0.02 for the advancing triple line. It was plausible to suppose that the exponent value ζ = 0.6–0.63 is universal of for the processes when a mobile water interface is stopped by randomly distributed pinning sites, forming so-called capillary fringes419. We suggested, that the backwash phase of swash fulfils these demands, regardless of the nature of the beach. Thus, the value of the scaling exponent is expected to be the same as or close to the value established for triple lines. We checked this hypothesis experimentally. It is noteworthy, that the universality of the exponent is kept until the roughness is smaller than the correlation length of the defects (pinning sites), thus, we restricted our research by this domain of roughnesses1422.

Results and Discussion

Several hundreds of pictures of a water front and swash edge were taken at the Mediterranean Sea coast on a fair and calm day (wind speed 0.95 m/s, height of waves 0.21 m); see Fig. 1. Two states, uprush (onshore flow) and backwash (offshore flow), presenting advancing and receding swash edges, may be distinguished, and all images were classified according to these two cases.
Figure 1

Propagation of water front and receding swash edge (the picture is taken by R. Grynyov at the Mediterranean Sea coast).

Positions of swash edges on the images were digitized according to the method described earlier28 and characterized by coordinates x along an edge and y in the perpendicular direction (Fig. 2).
Figure 2

Advancing swash edge and its digitized presentation y(x) (the picture is taken by R. Grynyov at the Mediterranean Sea coast).

Characteristic lengths featuring the shape of the swash edge were evaluated with its Fourier expansion, defined by the coordinates y and x as: where a are expansion coefficients corresponding to wavelengths λ. Figure 3 presents modules of the expansion coefficients a depending on the wavelengths λ. According to Fig. 3, the dominant contribution to the roughness of the swash edge is given by the wavelengths in the range of 6–8 m.
Figure 3

Typical Fourier spectra of a receding swash edge.

It is noteworthy that the dominant wavelengths established in our experiments coincide with “typical beach cusp” lengths229. Roughness exponents of swash edges were calculated according to the method described earlier151628. A section of a swash edge with a total length D = 17 m was expressed by n points, with coordinates y (width) and x (length) differing by the value Δx = 6.3 cm. It should be emphasized that studied sections of a swash edge were larger than the dominant wavelengths of the Fourier expansion, calculated above. Segments with the length L (L < D/2) including n(L) points were chosen, and for each segment its rms width σ(L) (roughness) was calculated according to: After that, the average roughness w(L) of an ensemble of segments with the same L, centered in successive points of swash front x0, was calculated according to the equation: Δx0 being the distance between the centers. Finally, the roughness of the swash edge was characterized by its average rms width w dependent on the length L. Dependences w(L) presented in Fig. 4 are finely approximated with the scaling law w(L)∝L. The value of exponent ζ for the receding swash edge was 0.64 ± 0.02, whereas in the case of advancing swash the value 0.73 ± 0.03 was calculated.
Figure 4

Typical graphs of the average roughness w versus length L for advancing (squares) and receding (circles) swash edges.

It should be stressed that the derived values of roughness exponents were obtained for the values of roughness (w<0.12 m) much smaller than the typical beach cusp lengths229. It is well-known that the switch of the roughness exponent occurs when the roughness approaches to the correlation length of the defects1422. However, due to experimental restrictions we did not enter into this area, and did not observe the switch of exponent ζ. The values of the scaling exponent ζ established for the receding phase of the swash are very close to the value of the exponent ζ = 0.60 ± 0.05, established for the roughness of the triple line for water droplets deposited on rough surfaces28. The same exponent arises for a crack propagation front in a heterogeneous Plexiglas27, and for the motion of a magnetic domain walls12. This coincidence deserves discussion. It may be suggested that the swash front, the triple line and a crack propagation front may be described as randomly disturbed elastic strings273031. Rosso and Krauth30 demonstrated that the anharmonic elastic potential of a randomly disturbed string, containing the second and fourth powers of the string displacement, leads to almost the same value of ζ equal to 0.63. Moreover, the same exponent appears in models based on directed percolation25. In these models, the mobile interface is stopped by a directed percolation cluster of pinning sites25. At the same time, the scaling law appropriate for advancing swash is characterized by the higher value of ζ = 0.73 ± 0.03. It is plausible to relate this discrepancy to the dependence of advancing swash on the hydrodynamics of running waves. Indeed, the advancing swash edge is formed not only by pinning events, but also by the dynamics of bounding waves. In the future investigations the swash boundaries demonstrating roughness approaching the correlation length of defects should be studied. Thus, the switch of the roughness exponent is expected1422. Swash edges formed by beaches of various morphologies also call for study3233.
  11 in total

1.  Roughness at the depinning threshold for a long-range elastic string.

Authors:  Alberto Rosso; Werner Krauth
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-01-23

2.  High resolution description of a crack front in a heterogeneous Plexiglas block.

Authors:  A Delaplace; J Schmittbuhl; K J Måløy
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1999-08

3.  Width distribution of contact lines on a disordered substrate.

Authors:  Sébastien Moulinet; Alberto Rosso; Werner Krauth; Etienne Rolley
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2004-03-31

4.  Atomic force microscope study of growth kinetics: Scaling in the heteroepitaxy of CuCl on CaF2(111).

Authors: 
Journal:  Phys Rev Lett       Date:  1994-05-23       Impact factor: 9.161

5.  Self-affine fractal interfaces from immiscible displacement in porous media.

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Journal:  Phys Rev Lett       Date:  1989-10-16       Impact factor: 9.161

6.  Crescentic Landforms along the Atlantic Coast of the United States.

Authors:  R Dolan; J C Ferm
Journal:  Science       Date:  1968-02-09       Impact factor: 47.728

7.  Beach cusps as self-organized patterns.

Authors:  B T Werner; T M Fink
Journal:  Science       Date:  1993-05-14       Impact factor: 47.728

8.  Width distribution of curvature-driven interfaces: A study of universality.

Authors: 
Journal:  Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics       Date:  1994-11

9.  Anomalous interface roughening in porous media: Experiment and model.

Authors: 
Journal:  Phys Rev A       Date:  1992-06-15       Impact factor: 3.140

10.  Revisiting the fine structure of the triple line.

Authors:  E Bormashenko; A Musin; G Whyman; Z Barkay; M Zinigrad
Journal:  Langmuir       Date:  2013-11-06       Impact factor: 3.882

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