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Matem. Mod., 2018, Volume 30, Number 2, Pages 33–47 (Mi mm3938)  

This article is cited in 2 scientific papers (total in 2 papers)

Numerical implementation for the fluid location of atmosphere method

E. S. Dubinkinaab, V. A. Poddubnya

a Institute of Industrial Ecology UB RAS, Yekaterinburg
b Far Eastern Federal University, Vladivostok

Abstract: Numerical algorithms for the implementation of the fluid location of atmosphere (FLA) method are considered. The FLA method is designed to retrieve the mean effective fields of the atmospheric pollutant concentrations based on the measurement results. Different approaches to iterative solution of the mass conservation equation within the framework of this method are discussed. Stable convergent numerical scheme is proposed, which allows to significantly reduce calculation time. As an example the results of demonstration task to estimate the mean effective fine aerosol concentration field based on the photometric measurements at Ussuriysk monitoring site are presented.

Keywords: numerical simulation, iterative methods, back trajectory statistics, mass conservation equation, atmosphere, pollutant.

Funding Agency Grant Number
Russian Science Foundation 14-50-00034


Full text: PDF file (757 kB)
References: PDF file   HTML file
Received: 25.10.2016
Revised: 20.02.2017

Citation: E. S. Dubinkina, V. A. Poddubny, “Numerical implementation for the fluid location of atmosphere method”, Matem. Mod., 30:2 (2018), 33–47

Citation in format AMSBIB
\Bibitem{DubPod18}
\by E.~S.~Dubinkina, V.~A.~Poddubny
\paper Numerical implementation for the fluid location of atmosphere method
\jour Matem. Mod.
\yr 2018
\vol 30
\issue 2
\pages 33--47
\mathnet{http://mi.mathnet.ru/mm3938}
\elib{https://elibrary.ru/item.asp?id=32497616}


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    Citing articles on Google Scholar: Russian citations, English citations
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    This publication is cited in the following articles:
    1. Poddubny V., Nagovitsyna E., Antonov K., Markelov J., Buevich A., Omelkova E., Manzhurov I., Medvedev A., Vasilyeva J., “Estimation of the Atmospheric Greenhouse Gas Spatial Distribution in the Arctic Using a Back Trajectory Model”, Math. Meth. Appl. Sci.  crossref  mathscinet  isi
    2. V. A. Poddubny, E. S. Nagovitsyna, Yu. I. Markelov, A. G. Buevich, K. L. Antonov, E. V. Omel'kova, I. L. Manzhurov, “Estimation of the Spatial Distribution of Methane Concentration in the Area of the Barents and Kara Seas in Summer in 2016-2017”, Russ. Meteorol. Hydrol., 45:3 (2020), 193–200  crossref  isi  scopus
  • Математическое моделирование
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