Numerical estimation of inflow flux of floating natural macro-debris into Tokyo Bay

Kataoka, Tomoya; Hinata, Hirofumi; Nihei, Yasuo

doi:10.1016/j.ecss.2013.09.005

Cited by 27 publications

(17 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Our purpose in the present work is to determine the way in which the free modes near the coast are excited by the incident waves by taking the radiation damping into account. We will examine resonance in two different geometric settings: first a 1D slope which connects to a 1D channel with a flat bottom and then, again a 1D slope that connects to a semi-infinite 2D ocean 25 with a flat bathymetry (see Figure 1). When the wavelength of the incident wave is much shorter than the width of the sloping channel the completely 1D model is a good approximation to the natural case and we can neglect the geometric spreading of the waves at the toe of the sloping bay (this geometry will be referred to as MODEL-1 during the rest of the article).…”

Section: Introductionmentioning

confidence: 99%

“…However generalizing this solution approach to 2D in the deep ocean part is computationally very expensive, requiring a solution of an integral equation for each frequency component to calculate the transient response. Hence, the real importance of the technique developed in this article becomes more apparent in MODEL-2 which can be of great engineering importance in modelling coastal amplifications of Tsunamis and storm surges in places like the Tokyo Bay which has a sloping bathymetry (Kataoka et al (2013)).…”

Section: Introductionmentioning

confidence: 99%

“…This divergence is counter-balanced by the Fourier transform of the incident wave for t < t c but not later. In order 15 to calculate the residue summation corresponding to the integral in (25), we need to calculate the frequencies that make the denominator zero. Here, when D → ∞, the approximate roots are given by the roots of J 0 (2ω).…”

mentioning

confidence: 99%

“…The reason for this is that shorter wavelengths feel the second slope more. Now let us return to the integral (25). This integral can be written completely in terms of λ and σ as: for λ > 2(1 − σ) because of the causality (ϕ becomes zero otherwise, because the disturbance takes 2(1 − σ) to travel from the toe of the slope to the point σ).…”

mentioning

confidence: 99%

See 3 more Smart Citations

On the Resonance Hypothesis of Tsunami and Storm Surge Runup

Postacıoğlu

Özeren

Canlı

2016

Preprint

View full text Add to dashboard Cite

Resonance has recently been proposed as the fundamental underlying mechanism that shapes the amplification in coastal runup for both Tsunamis and storm surges. It is without doubt that the resonance plays a rôle in runup phenomena of various kinds, however we think that the extent at which it plays its role has not been completely understood. For incident waves, the best approach to investigate the rôle played by the resonance would be to calculate the normal modes by taking radiation damping into account and then test how those modes are excited by the incident waves. There are a small number of 5 previous works that attempt to calculate the resonant frequencies but they do not relate the amplitudes of the normal modes to those of the incident wave. This is because, by not including radiation damping, they automatically induce a resonance that leads to infinite amplitudes, thus preventing them from predicting the exact contribution of the resonance to coastal runup.In this study we consider two different coastal geometries: an infinitely wide beach with a constant slope connecting to a flat-bottomed deep ocean and a bay with sloping bottom, again, connected to a deep ocean. For the fully 1-D problem we 10 find significant resonance if the bathymetric discontinuity is large. For the 2-D ocean case the analysis shows that the wave confinement is very effective when the bay is narrow. The bay aspect-ratio is the determining factor for the radiation damping.Nat. Hazards Earth Syst. Sci. Discuss.,

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

See 2 more Smart Citations

On the Resonance Hypothesis of Tsunami and Storm Surge Runup

Postacıoğlu

Özeren

Canlı

2016

Preprint

View full text Add to dashboard Cite

show abstract

“…Lagrangian particle tracking tools are commonly used in oceanography and limnology to study transport and mixing of tracers by observed or modeled fluid flows. Example applications include ocean mixing (Poje and Haller 1999;Wiggins 2005;Kirwan 2006; Koshel and Prants 2006;Mancho et al 2006;Lehahn et al 2007;Carlson et al 2010a;Aharon et al 2012), larval dispersal (Paris et al 2005;Lett et al 2007;Schlag et al 2008), hydrodynamic connectivity (Berline et al 2014;Rossi et al 2014), dissolved marine pollutants (Perianez 2004;Lekien et al 2005;Havens et al 2009), marine debris (Yoon et al 2010;Kako et al 2010Kako et al , 2011Kataoka et al 2013;Mansui et al 2015), oil spills (Beegle-Krause 2001; Abascal et al 2009;Havens et al 2009;Mezić et al 2010;Mariano et al 2011), search and rescue (Breivik and Allen 2008), and more. The diversity of applications is reflected in the number of Lagrangian particle tracking tools available (see Table 1).…”

mentioning

confidence: 99%

The particle tracking and analysis toolbox (PaTATO) for Matlab

Fredj

Carlson

Amitai

et al. 2016

Limnol. Oceanogr. Methods

View full text Add to dashboard Cite

Lagrangian particle tracking and Lagrangian coherent structures (LCS) analysis tools aid in the studies of fluid flow and are especially helpful in understanding the role of transport in marine ecosystems. However, most existing particle tracking and analysis tools operate in conjunction with a specific model and/or require execution in multiple programming languages. The Particle Tracking and Analysis TOolbox (PaTATO) for Matlab aims to increase the availability of particle tracking and analysis techniques to a wider audience. PaTATO is compatible with many different types of velocity data and can compute forward and backward trajectories in two and/or three dimensions. PaTATO can compute standard LCS metrics, like Lyapunov exponents and relative dispersion, as well as the maximal extent of a trajectory (MET), a relatively new metric. Most importantly, PaTATO is computationally efficient and easy-to-use. We describe PaTATO, and present examples using the time-periodic double gyre, high frequency radar surface current observations, the Massachusetts Institute of Technology general circulation model (MITgcm), altimeter-derived geostrophic velocities (AVISO), and Nucleous for European Modelling of the Ocean (NEMO).Lagrangian particle tracking tools are commonly used in oceanography and limnology to study transport and mixing of tracers by observed or modeled fluid flows. Example applications include ocean mixing (Poje and Haller

show abstract