Realization of variational algorithm at identification of input parameters of model of transfer of passive impurity in Azov Sea

Authors

  • Kochergin V.S. Marine Hydrophysical Institute, Russian Academy of Science, Sevastopol, Российская Федерация
  • Kochergin S.V. Marine Hydrophysical Institute, Russian Academy of Science, Sevastopol, Российская Федерация

UDC

51.37

Abstract

For the purpose of transporting and diffusion modeling of pollutants in the Azov Sea and solving the environment tasks a barotropic hydrodynamic model in sigma-coordinates is implemented. The results of calculations at various wild stresses are considered as initial information while modeling transporting passive admixture. For implementing the variation algorithm of assimilation of the measurements data and identification the initial parameters of the model mathematical apparatus of adjoint equations is used. The questions of choice of compatible difference approximations at numerical realization of the head and adjoint models are consider. The TVD-approximations and the variant of monotonous equations are presented. The results of numerical modeling are compared to satellite data of concentration of suspended matter a good correlation of model estimations with the measurements data is obtained. On the basis of application of adjoint equation theory the functions of influence of initial data on admixture concentration for the areas of intensive navigation in the Azov Sea are created. At implementing such an algorithm we obtain not only evaluation data of the controlled functional but also the opportunity to identify the possible pollution sources by spatial structure of created influence functions and apriority information of the sources. By setting various initial data it's possible to estimate the functional in questions characterizing the environment situation without integrating the head model. Thus on the basis of solution of adjoint tasks and creating influence functions operative estimation of initial data influence on controlled concentration values of admixture in a certain aria is possible. Such information can be useful at making decisions with the purpose of optimization of anthropogenic load on ecosystem of Azov-Black Sea basin. The approach based on integrating adjoint equations can be applied while solving various ecological tasks. It allows to find influence areas of the initial fields and pollution sources on the concentration field of investigated admixture in a certain area.

Keywords:

variational algorithm, identification of input parameters, passive admixture, transport model, Azov Sea, ransport and diffusion of pollutions, assimilation of data measurements

Author Infos

Vladimir S. Kochergin

младший научный сотрудник отдела теории волн Морского гидрофизического института РАН

e-mail: vskocher@gmail.com

Sergey V. Kochergin

старший научный сотрудник отдела морских информационных систем и технологий Морского гидрофизического института РАН

e-mail: ko4ep@mail.ru

References

  1. Malanotte-Rizzoli P., Holland W.R. Data constraints applied to models of the ocean general circulation. Part II: The Transient. Eddy-Resolving Case. Journal of Physical Oceanography, 1988, vol. 18, iss. 8, pp. 1093-1107.
  2. Yu L., O'Brien J.J. Variational estimation of the wind stress drag coefficient and the oceanic eddy viscosity profile. J. of Phys. Oceanogr., 1991, vol. 21, pp. 709-719.
  3. Marchuk G.I. Osnovnyye i sopryazhennyye uravneniya dinamiki atmosfery i okeana [Basic and conjugate equations of dynamics of atmosphere and ocean]. Meteorologiya i gidrologiya [Meteorology and hydrology], 1974, no. 2, pp. 17-34. (In Russian)
  4. Penenko V.V. Metody chislennogo modelirovaniya atmosfernykh protsessov [Methods for numerical modeling of atmospheric processes]. Leningrad, Gidrometeoizdat Publ., 1981, 350 p. (In Russian)
  5. Marchuk G.I. Matematicheskoye modelirovaniye v probleme okruzhayushchey sredy [Mathematical modeling in the environmental problem]. Moscow, Nauka Publ., 1982, 320 p. (In Russian)
  6. Eremeyev V.N.. Kochergin V.P.. Kochergin S.V.. Sklyar S.N. Matematicheskoye modelirovaniye gidrodinamiki glubokovdnykh basseynov [Mathematical modeling of hydrodynamics of deep-water basins]. Sevastopol, EKOSI-Gidrofizika Publ., 2002, 238 p. (In Russian)
  7. Harten A. High resolution schemes for hyperbolic conservation laws. J. of Comput. Phys., 1983, vol. 49, iss. 3, pp. 353-393. doi:10.1016/0021-9991(83)90136-5
  8. Ivanov V.A.. Fomin V.V. Matematicheskoye modelirovaniye dinamiche-skikh protsessov v zone more - susha [Mathematical modeling of dynamic processes in the zone of the sea - drying]. Sevastopol, EKOSI-gidrofizika Publ., 2008, 363 p. (In Russian)

Issue

Pages

50-58

Submitted

2016-08-18

Published

2016-09-30

How to Cite

Kochergin V.S., Kochergin S.V. Realization of variational algorithm at identification of input parameters of model of transfer of passive impurity in Azov Sea. Ecological Bulletin of Research Centers of the Black Sea Economic Cooperation, 2016, no. 3, pp. 50-58. (In Russian)