Joint distributions of wave steepness in narrow band sea states

Antão, E.M.; Soares, C. Guedes

doi:10.1016/j.oceaneng.2015.04.007

Cited by 6 publications

(4 citation statements)

References 21 publications

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“…For example, wave heights and wave periods are not sampled in any recognizable trend for the independent case but the conditions sampled from the stochastic model show positive dependence such that there are almost no conditions sampled for high wave heights with low wave periods or vice versa. When compared to the data analyzed in this study and the published literature [23,[80][81][82][83][84], the independent case deems to be unrealistic and the dependent case is in harmony for the variables whose dependence information is published. Hence, Figure 12 not only shows the pair-wise dependence of variables that emerged beyond the correlations initially defined, but also shows the realistic "windows" of variables where they coexist.…”

Section: Realistic Boundary Conditionsmentioning

confidence: 99%

Probabilistic Characterization of the Vegetated Hydrodynamic System Using Non-Parametric Bayesian Networks

Niazi

Morales-Nápoles

Wesenbeeck

2021

Water

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The increasing risk of flooding requires obtaining generalized knowledge for the implementation of distinct and innovative intervention strategies, such as nature-based solutions. Inclusion of ecosystems in flood risk management has proven to be an adaptive strategy that achieves multiple benefits. However, obtaining generalizable quantitative information to increase the reliability of such interventions through experiments or numerical models can be expensive, laborious, or computationally demanding. This paper presents a probabilistic model that represents interconnected elements of vegetated hydrodynamic systems using a nonparametric Bayesian network (NPBN) for seagrasses, salt marshes, and mangroves. NPBNs allow for a system-level probabilistic description of vegetated hydrodynamic systems, generate physically realistic varied boundary conditions for physical or numerical modeling, provide missing information in data-scarce environments, and reduce the amount of numerical simulations required to obtain generalized results—all of which are critically useful to pave the way for successful implementation of nature-based solutions.

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Section: Realistic Boundary Conditionsmentioning

confidence: 99%

Probabilistic Characterization of the Vegetated Hydrodynamic System Using Non-Parametric Bayesian Networks

Niazi

Morales-Nápoles

Wesenbeeck

2021

Water

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“…Fonseca [21] compared numerical and experimental results of nonlinear wave-induced vertical ship motions and loads. Daniel [22], Soares [23], Rocha [24], and Antao [25] studied the characteristics of the steep wave, spectral bandwidth, beach slope, its variation law, the joint distributions of wave steepness in narrow band sea states. Ruiz et al [26] performed the wave effects in six DOF (Degree of Freedom) on a ship in shallow water, the model was systematically tested in both calm water and in regular waves with different combinations of wave amplitudes, headings, and periods.…”

Section: Introductionmentioning

confidence: 99%

Study on the Steepness of Landslide-Induced Wave and Nonlinear Motion of Container Ships

2020

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Large-scale instability of a landslide body, sliding down a bank slope and entering water at a high speed, arouses landslide surges. Taking the water entry point as a source point, they spread rapidly to surrounding areas, increasing the danger risk of vessel passages in the water area. In this paper, adopting an orthogonal experimental design method, based on the test data, the Three Gorges Reservoir area was derived in order to calculate the height of the first wave of the bank landslide surge: to analyze the slope angle, the geological environment, the volume of the landslide surge, and the landslide surge wave steepness; to study the landslide volume effect on ship rolling and the swaying motion rule; and to explore the landslide surge in different ship rolling positions and transverse oscillation characteristics. This study can provide theoretical support for the navigation safety of ships in landslide surge waters.

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“…Due to the danger posed by abnormally high and steep waves, many authors have attempted to explore their nature and describe them, both statistically and analytically, as accurately as possible (Michell 1893;Haver, Andersen 2000;Pelinovsky, Karif 2000;Guedes Soares et al 2003, 2004bGuedes Soares, Antão 2004;Antão, Guedes Soares 2015, 2016.…”

Section: Introductionmentioning

confidence: 99%

Verification of Quasi-Determinism theory against Baltic Sea Data

Antão

2018

Meteorol. Hydrol. Water Manage.

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Abstract. The second formulation of Boccotti's quasi-determinism theory is investigated. Deep water wave records collected in the Baltic Sea with AWAC (Nortek Acoustic Wave and Current profiler) are used in this study.The adequacy of Boccotti's theory for Baltic Sea conditions is evaluated on the basis of some simulations of wave groups with a very large maximum wave height. The large waves are chosen using an abnormality index (ratio of maximum wave height to significant wave height) with a value greater than 2. Such values of this index are also used by different authors for the definition of freak waves. In order to obtain better results, JONSWAP formula is fitted to the measured spectra instead of using default JONSWAP parameters for the simulations. Verification of values of spectral parameters obtained from the autocovariance function against the same parameters calculated from smoothed and not smoothed spectra is presented. Much attention is given to spectral peak period value. The spectral width parameter, in QD theory known as narrow bandedness parameter, requires further investigation as the results obtained here did not allow the formulating of any functional relation with another -more often used -spectral width parameter. The low frequency of sampling of the data allowed only the most important aspects of the theory to be checked. A short Matlab function used in QD simulations is presented.

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Joint distributions of wave steepness in narrow band sea states

Cited by 6 publications

References 21 publications

Probabilistic Characterization of the Vegetated Hydrodynamic System Using Non-Parametric Bayesian Networks

Probabilistic Characterization of the Vegetated Hydrodynamic System Using Non-Parametric Bayesian Networks

Study on the Steepness of Landslide-Induced Wave and Nonlinear Motion of Container Ships

Verification of Quasi-Determinism theory against Baltic Sea Data

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