Variational methods for identifying the power of an instantaneous point source on the sea surface

Authors

UDC

51.37

EDN

OIUOBV

DOI:

10.31429/vestnik-23-1-56-62

Abstract

Using the example of a passive impurity transfer model, variation algorithms for identifying the power of an instantaneous source of pollution on the sea surface are considered. The solution to this problem is possible with several variation approaches. One of them is an algorithm based on variation principles and solving related problems, and in the case of a point instantaneous source, a simplified algorithm based on the linearization method can be used. It should be noted that the properties of the algorithms used in this case can be significantly improved by choosing the optimal measurement scheme, i.e. optimal plans. From a mathematical point of view, an optimal plan is understood as a set of measurement points distributed over space and time, which gives the best conditionality of the problem being solved. The Jacobi information matrix is constructed using solutions to a series of related problems. It is known that measurements of the concentration field, which are performed at the points of maximum values, lead to increased conditionality of the problem being solved and faster convergence of the iterative process. The algorithm for constructing the Fischer information matrix is presented for the case of a three-dimensional model of passive impurity transport in the Sea of Azov. The effect of an instantaneous and permanent point source of pollution is considered. The results can be used to solve various environmental problems in studying the effects of anthropogenic pollution sources in the waters of the Azov and Black Seas.

Keywords:

experimental design, transport model, passive admixture, identification, adjoint problem, minimization, Sea of Azov

Funding information

The work was carried out within the framework of the state assignment on topic No. FNNN-2024-0016 "Study of the spatio-temporal variability of oceanographic processes in the coastal, coastal and shelf zones of the Black Sea under the influence of natural and anthropogenic factors based on contact measurements and mathematical modeling" (code "Coastal research").

Authors info

  • Vladimir S. Kochergin

    младший научный сотрудник отдела теории волн Федерального исследовательского центра «Морской гидрофизический институт РАН»

  • Sergei V. Kochergin

    старший научный сотрудник отдела вычислительных технологий и математического моделирования Федерального исследовательского центра «Морской гидрофизический институт РАН»

References

  1. Кочергин, В.С., Кочергин, С.В., Использование решения сопряженных задач при идентификации входных параметров модели переноса и планировании эксперимента. Экологический вестник научных центров Черноморского экономического сотрудничества, 2017, № 2, с. 42–47. [Kochergin, V.S., Kochergin, S.V., Using adjoint problem solving in identifying input parameters of a transport model and planning an experiment. Ekologicheskiy vestnik nauchnykh tsentrov Chernomorskogo ekonomicheskogo sotrudnichestva = Ecological Bulletin of the Research Centers of the Black Sea Economic Cooperation, 2017, no. 2, pp. 42–47. (in Russian)] EDN: ZHXFNL
  2. Иванов, В.А., Фомин, В.В., Математическое моделирование динамических процессов в зоне море–суша. Севастополь, ЭКОСИ-гидрофизика, 2008. [Ivanov, V.A., Fomin, V.V., Matematicheskoe modelirovanie dinamicheskikh protsessov v zone more – susha = Mathematical modeling of dynamic processes in the sea-land zone. Sevastopol, ECOSI-hydrophysics, 2008. (in Russian)]
  3. Пененко, В.В., Оценка параметров дискретных моделей динамики атмосферы и океана. Метеорология и гидрология, 1979, № 7, с. 77–90. [Penenko, V.V., Estimation of parameters of discrete models of atmospheric and ocean dynamics. Meteorologiya i gidrologiya = Meteorology and Hydrology, 1979, no. 7, pp. 77–90. (in Russian)]
  4. Марчук, Г.И., Математическое моделирование в проблеме окружающей среды. Москва, Наука, 1982. [Marchuk, G.I., Matematicheskoe modelirovanie v probleme okruzhayushchey sredy = Mathematical Modeling in Environmental Problems. Moscow, Nauka, 1982. (in Russian)]
  5. Marchuk, G.I., Agoskov, V.I., Shutyaev, V.P., Adjoint Equations and Perturbation Algorithms in Nonlinear Problems. New York, CRC Press, 1996.
  6. Shutyaev, V.P., Le Dimet, F.-X., Parmuzin, E., Sensitivity analysis with respect to observations in variational data assimilation for parameter estimation. Nonlinear Processes in Geophysics, 2018, vol. 25, iss. 2. pp. 429–439. DOI: 10.5194/npg-25-429-2018
  7. Shutyaev, V.P., Methods for observation data assimilation in problems of physics of atmosphere and ocean. Izvestiya Atmospheric and Oceanic Physics, 2019, vol. 55, pp. 17–31. DOI: 10.1134/S0001433819010080
  8. Кочергин, В.С., Кочергин, С.В. Идентификация мощности источника загрязнения в Казантипском заливе на основе применения вариационного алгоритма. Морской гидрофизический журнал, 2015, № 2, с. 79–88. [Kochergin, V.S., Kochergin, S.V. Identification of the pollution source power in the Kazantip Bay based on the application of the variational algorithm. Morskoy gidrofizicheskiy zhurnal = Marine Hydrophysical Journal, 2015, no. 2, pp. 79–88. (in Russian)] EDN: VDVDER DOI: 10.22449/0233-7584-2015-2-79-88
  9. Кочергин, С.В., Фомин, В.В., Вариационная идентификация входных параметров модели распространения загрязняющих веществ от подводного источника. Морской гидрофизический журнал, 2019, т. 35, № 6, c. 621–632. [Kochergin, S.V., Fomin, V.V., Variational identification of input parameters of the model of pollutant spread from an underwater source. Morskoy gidrofizicheskiy zhurnal = Marine Hydrophysical Journal, 2019, vol. 35, no. 6, pp. 621–632. (in Russian)] EDN: PIQZAL DOI: 10.22449/0233-7584-2019-6-621-632
  10. Кочергин, В.С., Определение поля концентрации пассивной примеси по начальным данным на основе решения сопряженных задач. Экологическая безопасность прибрежной и шельфовой зон и комплексное использование ресурсов шельфа, 2011, вып. 25, т. 2, с. 370–376. [Kochergin, V.S., Determination of the concentration field of a passive impurity from initial data based on the solution of conjugate problems. Ekologicheskaya bezopasnost' pribrezhnoy i shel'fovoy zon i kompleksnoe ispol'zovanie resursov shel'fa = Environmental safety of coastal and shelf zones and integrated use of shelf resources, 2011, iss. 25, vol. 2, pp. 370–376. (in Russian)]
  11. Кочергин, В.С., Кочергин, С.В., Вариационные процедуры идентификации входных параметров модели переноса пассивной примеси. Экологический вестник научных центров Черноморского экономического сотрудничества, 2021, т. 18, № 3, с. 14–18. [Kochergin, V.S., Kochergin, S.V., Variational procedures for identifying input parameters of a passive pollutant transport model. Ekologicheskiy vestnik nauchnykh tsentrov Chernomorskogo ekonomicheskogo sotrudnichestva = Ecological Bulletin of the Research Centers of the Black Sea Economic Cooperation, 2021, vol. 18, no. 3, pp. 14–18. (in Russian)] EDN: LVLLXX DOI: 10.31429/vestnik-18-3-41-45
  12. Страхов, В.Н., Метод фильтрации систем линейных алгебраических уравнений –- основа для решения линейных задач гравиметрии и магнитометрии. Докл. АН СССР, 1991, т. 320, № 3, с. 595–599. [Strakhov, V.N., Method of filtering systems of linear algebraic equations –- basis for solving linear problems of gravimetry and magnetometry. Doklady USSR Academy of Sciences, 1991, vol. 320, no. 3, pp. 595–599. (in Russian)]
  13. Горский, В.Г., Планирование кинетических экспериментов. Москва, Наука, 1984. [Gorsky, V.G., Planirovanie kineticheskikh eksperimentov = Planning of Kinetic Experiments. Moscow, Nauka, 1984. (in Russian)]
  14. Ермаков, С.М., Жиглявский, А.А., Математическая теория оптимального эксперимента. Москва, Наука, 1987. [Ermakov, S.M., Zhiglyavsky, A.A., Matematicheskaya teoriya optimal'nogo eksperimenta = Mathematical theory of optimal experiment. Moscow, Nauka, 1987. (in Russian)]
  15. Кочергин, В.С., Кочергин, С.В., Использование решения сопряженных задач при идентификации входных параметров модели переноса и планировании эксперимента. Экологический вестник научных центров Черноморского экономического сотрудничества, 2017, № 2, с. 42–47. [Kochergin, V.S., Kochergin, S.V., Using the solution of conjugate problems in identifying input parameters of the transport model and planning an experiment. Ekologicheskiy vestnik nauchnykh tsentrov Chernomorskogo ekonomicheskogo sotrudnichestva = Ecological Bulletin of the Scientific Centers of the Black Sea Economic Cooperation, 2017, no. 2, pp. 42–47. (in Russian)] EDN: ZHXFNL

Downloads

Download data is not yet available.

Issue

Pages

56-62

Section

Mechanics

Dates

Submitted

January 26, 2026

Accepted

March 17, 2026

Published

March 24, 2026

How to Cite

[1]
Kochergin, V.S., Kochergin, S.V., Variational methods for identifying the power of an instantaneous point source on the sea surface. Ecological Bulletin of Research Centers of the Black Sea Economic Cooperation, 2026, т. 23, № 1, pp. 56–62. DOI: 10.31429/vestnik-23-1-56-62

Similar Articles

1-10 of 460

You may also start an advanced similarity search for this article.

Most read articles by the same author(s)

1 2 3 > >>