Experimental statistics of long wave runup on a plane beach

Denissenko, Petr; Didenkulova, Ira; Rodin, Artem; Listak, Madis; Pelinovsky, Efim

doi:10.2112/si65-034.1

Cited by 9 publications

(11 citation statements)

References 30 publications

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“…Pelinovsky [4,8,9], which include the analytical solutions (for non-breaking waves) and the data of laboratory and numerical investigations. The experiments were performed in the Large Wave Flume of the University of Hannover, using a wave flume consisting of a segment with a constant depth h 0 = 3.5 m and length x s = 250 m, adjacent to a plane slope 1 : 6 which was positioned near the right boundary of the flume [3]. The numerical computation in [4] were done using the software package CLAWPACK [10].…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Here the distributions from the work [4] appear to be higher. 2) and |R|/A -in the run-down phases (3,4), computed with the TVD+SPH method (1, 3) and [4] (2, 4); the domain of applicability of the analytical solution [13] is marked by grey color…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The first part of the paper briefly describes the problem formulation; the second part presents the results of the numerical modelling of the wave processes, which were investigated experimentally in the Large Wave Flume of the University of Hannover [3]. The obtained results are compared with those of the numerical modelling by the research group of Prof. E.N.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On Numerical Methods for Solving Run-Up Problems. Comparative Analysis of Numerical Algorithms and Numerical Results.

Чубаров¹,

Рычков²,

Khakimzyanov³

et al. 2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

On Numerical Methods for Solving Run-Up Problems. Comparative Analysis of Numerical Algorithms and Numerical Results.

Чубаров¹,

Рычков²,

Khakimzyanov³

et al. 2016

Proceedings of the VII European Congress on Computational Methods in Applied Sciences and Engineering (ECCOMAS Congress 2016)

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“…We shall use for clarity the char acteristic sizes of the Large Wave Channel of the Han nover University in Germany with a slope equal to 1 : 6 and a depth of 3.5 m, taking into account that recently a series of experiments on wave run up on a flat beach was performed there [19].…”

Section: Run Up Of a Solitary Wave On A Flat Slope Of The Beachmentioning

confidence: 99%

Run-up of long solitary waves of different polarities on a plane beach

Didenkulova

Pelinovsky

Didenkulov³

2014

Izv. Atmos. Ocean. Phys.

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We study the run up of long solitary waves of different polarities on a beach in the case of compos ite bottom topography: a plane sloping beach transforms into a region of constant depth. We confirm that nonlinear wave deformation of positive polarity (wave crest) resulting in an increase in the wave steepness leads to a significant increase in the run up height. It is shown that nonlinear effects are most strongly pro nounced for the run up of a wave with negative polarity (wave trough). In the latter case, the run up height of such waves increases with their steepness and can exceed the amplitude of the incident wave.Keywords: surface waves in water, run up of long waves on a coast, plane beach, wave shape, wave polarity

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“…The probabilities of occurrence of different single wave heights are at best approximated either by a Rayleigh (Longuet-Higgins, 1952), Weibull (Forristall, 1978 or Tayfun distribution (Socquet-Juglard et al, 2005). The probability distribution of run-up heights usually follows the relevant distribution for incident wave heights (Denissenko et al, 2011) but can be approximated by a Rayleigh distribution even if the approaching wave field does not represent a Gaussian process (Denissenko et al, 2013). The empirical probabilities of average or significant wave heights in various offshore conditions usually resemble either a Rayleigh or a Weibull distribution (Muraleedharan et al, 2007;Feng et al, 2014), while Pareto-type distributions are more suitable for the analysis of meteotsunami heights (Bechle et al, 2015).…”

Section: Introductionmentioning

confidence: 99%

Variability of distributions of wave set-up heights along a shoreline with complicated geometry

et al. 2020

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Abstract. The phenomenon of wave set-up may substantially contribute to the formation of devastating coastal flooding in certain coastal areas. We study the appearance and properties of empirical probability density distributions of the occurrence of different set-up heights on an approximately 80 km long section of coastline near Tallinn in the Gulf of Finland, eastern Baltic Sea. The study area is often attacked by high waves propagating from various directions, and the typical approach angle of high waves varies considerably along the shore. The distributions in question are approximated by an exponential distribution with a quadratic polynomial as the exponent. Even though different segments of the study area have substantially different wave regimes, the leading term of this polynomial is usually small (between −0.005 and 0.005) and varies insignificantly along the study area. Consequently, the distribution of wave set-up heights substantially deviates from a Rayleigh or Weibull distribution (that usually reflect the distribution of different wave heights). In about three-quarters of the occasions, it is fairly well approximated by a standard exponential distribution. In about 25 % of the coastal segments, it qualitatively matches a Wald (inverse Gaussian) distribution. The Kolmogorov–Smirnov test (D value) indicates that the inverse Gaussian distribution systematically better matches the empirical probability distributions of set-up heights than the Weibull, exponential, or Gaussian distributions.

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Experimental statistics of long wave runup on a plane beach

Cited by 9 publications

References 30 publications

On Numerical Methods for Solving Run-Up Problems. Comparative Analysis of Numerical Algorithms and Numerical Results.

On Numerical Methods for Solving Run-Up Problems. Comparative Analysis of Numerical Algorithms and Numerical Results.

Run-up of long solitary waves of different polarities on a plane beach

Variability of distributions of wave set-up heights along a shoreline with complicated geometry

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