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Sibirskie Èlektronnye Matematicheskie Izvestiya [Siberian Electronic Mathematical Reports], 2013, Volume 10, Pages C.35–C.54
(Mi semr436)
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This article is cited in 1 scientific paper (total in 1 paper)
Proceedings of conferences
Algorithms for atmospheric emission source localization based on the automated ecological monitoring system data
A. V. Penenkoa, S. G. Rachmetullinab a Institute of Computational Mathematics and Mathematical Geophysics (Computing Center), Siberian Branch of the Russian Academy of Sciences, Novosibirsk
b East Kazakhstan State Technical University named after D. Serikbayev, Ust-Kamenogorsk
Abstract:
A chemical substance emitted by a source is transported with an convection-diffusion process in the atmosphere. The problem is to estimate source parameters. The work is devoted to the implementation of different atmospheric pollutant source estimation methods to be used in the monitoring system of the city. The monitoring system consist of several automatic measurement devices providing point concentration measurements data. Considered approaches to the source estimation are based on variational principle with the use of adjoint equations for the convection-diffusion models with source-term uncertainty.
Keywords:
Source localization, advection-diffusion equations, variational methods, adjoint problems.
Received February 1, 2013, published May 31, 2013
Citation:
A. V. Penenko, S. G. Rachmetullina, “Algorithms for atmospheric emission source localization based on the automated ecological monitoring system data”, Sib. Èlektron. Mat. Izv., 10 (2013), C.35–C.54
Linking options:
https://www.mathnet.ru/eng/semr436 https://www.mathnet.ru/eng/semr/v10/p35
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Abstract page: | 330 | Full-text PDF : | 129 | References: | 55 |
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