Аннотация:
Traffic is the primary source of pollution in the city of Almaty. Due to the changing dynamics of traffic flows and a variety of technical conditions of the road vehicles, an accurate accounting of this emission source is a difficult task in the present time. Data assimilation algorithms can be applied to estimate the air quality in this case. The effectiveness of the direct variational data assimilation algorithm with quasi-independent data assimilation at individual steps of the splitting scheme was studied in a realistic scenario of assessing the air quality for the city of Almaty using the synthetic measurement data from the city monitoring network. The data assimilation is carried out by reconstructing the uncertainty (control) function. The cost functional with a stabilizer, including the spatial derivative of the uncertainty function, is minimized. The use of this stabilizer allowed us to obtain the smooth recovered uncertainty functions. This positively affected the quality of pollutant concentration field reconstruction in the scenario with routine pollutants.
Ключевые слова:
variational approach, data assimilation, air pollution transport, numerical modeling, Almaty.
Образец цитирования:
A. V. Penenko, Z. T. Khassenova, V. V. Penenko, E. A. Pyanova, “Numerical study of a direct variational data assimilation algorithm in Almaty city conditions”, Eurasian Journal of Mathematical and Computer Applications, 7:1 (2019), 53–64
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\by A.~V.~Penenko, Z.~T.~Khassenova, V.~V.~Penenko, E.~A.~Pyanova
\paper Numerical study of a direct variational data assimilation algorithm in Almaty city conditions
\jour Eurasian Journal of Mathematical and Computer Applications
\yr 2019
\vol 7
\issue 1
\pages 53--64
\mathnet{http://mi.mathnet.ru/ejmca131}
\crossref{https://doi.org/10.32523/2306-6172-2019-7-1-53-64}
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Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/ejmca131
https://www.mathnet.ru/rus/ejmca/v7/i1/p53
Эта публикация цитируется в следующих 3 статьяx:
Yu. V. Belova, A. V. Nikitina, “Application of Methods of Observational Data Assimilation to Model the Spread of Pollutants in a Reservoir and Manage Sustainable Development”, Safety of Technogenic and Natural Systems, 2024, no. 3, 39
Zhanar Oralbekova, Tamara Zhukabayeva, Kazizat Iskakov, Makpal Zhartybayeva, Nargiz Yessimova, Alma Zakirova, Ainur Kussainova, Zhu Xiao, “A New Approach to Solving the Problem of Atmospheric Air Pollution in the Industrial City”, Scientific Programming, 2021 (2021), 1
Yuanfang He, Alexander Kuchansky, Sergiy Paliy, Yevhenia Shabala, 2021 IEEE International Conference on Smart Information Systems and Technologies (SIST), 2021, 1
Цитирование в формате AMSBIB
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