Input parameters variational identifying procedures of the passive impurity transfer model
UDC
51.37DOI:
https://doi.org/10.31429/vestnik-18-3-41-45Abstract
The paper presents a method for input parameters variational identification of passive impurity transfer model as a result of assimilation of measurement data. The assimilation is carried out by minimizing the quadratic functional of the forecast quality, and the solution of the adjoint problem is used to construct gradients of the functional in the parameter space. Formulas for calculating such gradients in the case of identification of the initial concentration fields, turbulent diffusion coefficients and the power of pollution sources are presented. When solving environmental problems based on the use of numerical dynamic models and models describing the processes of propagation of certain pollutants, the task naturally arises of improving the predicted model fields by identifying the input parameters of the models. One of the ways of such identification is the variational assimilation method based on minimizing the forecast residuals and solving conjugate problems of a special type. The development of such algorithms is an important and urgent task due to the increasing anthropogenic load and the need to create environmental monitoring systems.
Funding information
The work was carried out within the framework of the state task on the topic 0555-2021-0005 "Complex interdisciplinary studies of oceanological processes that determine the functioning and evolution of eco-systems of the coastal zones of the Black and Azov Seas" (code "Coastal research").
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