Numerical simulation of pollution and oil spill spreading by the stochastic discrete particle method

Arkhipov, B. V.; Koterov, V. N.; Solbakov, V. V.; Shapochkin, D. A.; Yurezanskaya, Yu. S.

doi:10.1134/s096554250702011x

Cited by 6 publications

(2 citation statements)

References 5 publications

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“…Numerical ocean pollutant transport models have gradually become a powerful tool to study pollutant diffusion process (Arkhipov et al, 2007;Wang et al, 2008;Zhang and Kitazawa, 2015;Faghihifard and Badri, 2016;Xu and Chua, 2017). Tappin et al (1997) developed a numerical transport model for predicting metals distributions in the southern North Sea.…”

Section: Introductionmentioning

confidence: 99%

Improvement of the ocean pollutant transport model by using the surface spline interpolation

Zong

Xu³

et al. 2018

Tellus A: Dynamic Meteorology and Oceanography

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The independent point scheme (IPS) is applied to inverting initial condition with the adjoint method for the ocean pollutant transport model in this work. As an improvement, the linear Cressman interpolation is removed and the surface spline interpolation is implemented in the IPS. A series of numerical experiments are carried out to test and compare the improved IPS. And experiment results show that through applying the improved IPS, what is further reduced is mean absolute errors between simulation results and observations. Moreover, the inverted distributions are more smooth, accurate and reasonable. In addition, the application of improved IPS also reduces the variables that need to be inverted and promotes the computational efficiency. By these numerical experiment results, it is demonstrated that the combination of improved IPS and adjoint method can be used for the inversion of initial conditions and parameters estimation more effectively and reliably.

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Section: Introductionmentioning

confidence: 99%

Improvement of the ocean pollutant transport model by using the surface spline interpolation

Zong

Xu³

et al. 2018

Tellus A: Dynamic Meteorology and Oceanography

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show abstract

“…To avoid well-known difficulties arising in the simulation of pollutant spreading phenomena, see, e.g., [1,3,4], and focus our attention on the demonstration of the computation of the hydrophysical quantities introduced we intentionally use a simplified statement of the problem in question. The formulation of a more precise problem statement with a proper mathematical description of hydrophysical properties of the phenomenon involved is a rather complex problem by itself which lies beyond the scope of this paper.…”

Section: Pollutant Spreading In a Canalmentioning

confidence: 99%

Ecological modeling and Lagrangian approach

et al. 2013

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A mathematical model is proposed for a quantitative estimation of the damage to biological resources resulting from a pollutant discharge into an aqueous environment. On the basis of the Lagrangian description of fluid motion a set of hydrophysical parameters is introduced with help of which hydrobiologists can estimate the damage. The computation of parameters introduced is illustrated by the example of a model problem of a pollutant spreading in a canal. For the discretization of the problem a deformable Lagrangian grid is used. A special grid reconstruction procedure with the subsequent interpolation of the parameters computed is proposed, which ensures computational stability and preserves the values of the most important hydrophysical parameters. Numerical results are presented. MSC:92-08

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Simulation of oil pollution in the Persian Gulf near Assaluyeh oil terminal

Faghihifard

Badri

2016

Marine Pollution Bulletin

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Numerical simulation of pollution and oil spill spreading by the stochastic discrete particle method

Cited by 6 publications

References 5 publications

Improvement of the ocean pollutant transport model by using the surface spline interpolation

Improvement of the ocean pollutant transport model by using the surface spline interpolation

Ecological modeling and Lagrangian approach

Simulation of oil pollution in the Persian Gulf near Assaluyeh oil terminal

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