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| Titel |
The solution of the problem of oil spill risk control in the Baltic Sea taking into account the processes of oil propagation and degradation |
| VerfasserIn |
Nikita Aseev, Valery Agoshkov |
| Konferenz |
EGU General Assembly 2015
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| Medientyp |
Artikel
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| Sprache |
Englisch
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 17 (2015) |
| Datensatznummer |
250109160
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| Publikation (Nr.) |
 EGU/EGU2015-9041.pdf |
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| Zusammenfassung |
| The report is devoted to the one approach to the problem of oil spill risk control
of protected areas in the Baltic Sea (Aseev et al., 2014). By the problem of risk
control is meant a problem of determination of optimal resources quantity which are
necessary for decreasing the risk to some acceptable value. It is supposed that only
moment of accident is a random variable. Mass of oil slick is chosen as a function
of control. For the realization of the random variable the quadratic “functional of
cost” is introduced. It comprises cleaning costs and deviation of damage of oil
pollution from its acceptable value. The problem of minimization of this functional is
solved based on the methods of optimal control and the theory of adjoint equations
(Agoshkov, 2003, Agoshkov et al., 2012). The solution of this problem is explicitly
found.
In order to solve the realistic problem of oil spill risk control in the Baltic Sea the 2d
model of oil spill propagation on the sea surface based on the Seatrack Web model
(Liungman, Mattson, 2011) is developed. The model takes into account such processes as oil
transportation by sea currents and wind, turbulent diffusion, spreading, evaporation from sea
surface, dispersion and formation of emulsion “water-in-oil”. The model allows to calculate
basic oil slick parameters: localization, mass, volume, thickness, density of oil, water
content and viscosity of emulsion. The results of several numerical experiments in
the Baltic Sea using the model and the methodology of oil spill risk control are
presented.
Along with moment of accident other parameters of oil spill and environment
could be chosen as a random variables. The methodology of solution of oil spill risk
control problem will remain the same but the computational complexity will increase.
Conversion of the function of control to quantity of resources with a glance to methods of
pollution removal should be processed. As a result, the developed 2d model of
oil spill propagation combined with the methodology of solution of oil spill risk
control problem could provide the basis for oil spill simulation systems, systems
of evaluation and control of oil spill risk and damage in seas or decision support
systems.
References
V.I. Agoshkov. The methods of optimal control and adjoint equations in
problems of mathematical physics. // Moscow: INM RAS, 2003, 256 p. (in
Russian).
V.I. Agoshkov, N.A. Aseev, I.S. Novikov. The methods of investigation and
solution of the problems of local sources and local or integral observations. //
Moscow: INM RAS, 2012. 151 p. (in Russian).
N.A. Aseev, V.I. Agoshkov, V.B. Zalesny, R. Aps, P. Kujala, and J. Rytkonen.
The problem of control of oil pollution risk in the Baltic Sea // Russ. J. Numer.
Analysis and Math. Modelling, 2014, V 29, No. 2, 93-105.
O. Liungman, J. Mattson. Scientific documentation of Seatrack Web; physical
processes, algorithms and references, 2011. // https://stw-helcom.smhi.se/ |
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