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Applying Data Assimilation on the Urban Environment

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Computational and Information Technologies in Science, Engineering and Education (CITech 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 998))

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Abstract

The safety on the urban environment is the most urgent problem of the modern world. A promising avenue for solving this problem is the development of effective monitoring systems, whose mathematical support is based on the application of numerical algorithms for modeling the spread of a pollutant, that evaluate the state of the system in real time [1, 2]. In data assimilation tasks, it is required to predict the value of the model state function in accordance with available observational data, that is, to estimate the “real” state of the system using a mathematical model, a priori information and measurement data. The variational principle of constructing numerical schemes is used in this paper [1, 3]. Numerical experiments were carried out.

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Authors and Affiliations

  1. L.N. Gumilyov Eurasian National University, Astana, Kazakhstan

    Z. T. Khassenova & A. T. Kussainova

Authors
  1. Z. T. Khassenova
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  2. A. T. Kussainova
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Correspondence to Z. T. Khassenova .

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Editors and Affiliations

  1. RAS, Institute of Computational Technologies, Novosibirsk, Russia

    Yuri Shokin

  2. D. Serikbayev East Kazakhstan State Technical University, Ust-Kamenogorsk, Kazakhstan

    Zhassulan Shaimardanov

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Khassenova, Z.T., Kussainova, A.T. (2019). Applying Data Assimilation on the Urban Environment. In: Shokin, Y., Shaimardanov, Z. (eds) Computational and Information Technologies in Science, Engineering and Education. CITech 2018. Communications in Computer and Information Science, vol 998. Springer, Cham. https://doi.org/10.1007/978-3-030-12203-4_12

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  • DOI: https://doi.org/10.1007/978-3-030-12203-4_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-12202-7

  • Online ISBN: 978-3-030-12203-4

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