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Atmospheric Ecology Modeling for the Sustainable Development of the Urban Environment

Author

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  • Nikolay Rashevskiy

    (Department of Digital Technologies for Urban Studies, Architecture and Civil Engineering, Volgograd State Technical University, 1 Akademicheskaya Str., 400074 Volgograd, Russia)

  • Natalia Sadovnikova

    (Department of Digital Technologies for Urban Studies, Architecture and Civil Engineering, Volgograd State Technical University, 1 Akademicheskaya Str., 400074 Volgograd, Russia)

  • Tatyana Ereshchenko

    (Department of Digital Technologies for Urban Studies, Architecture and Civil Engineering, Volgograd State Technical University, 1 Akademicheskaya Str., 400074 Volgograd, Russia)

  • Danila Parygin

    (Department of Digital Technologies for Urban Studies, Architecture and Civil Engineering, Volgograd State Technical University, 1 Akademicheskaya Str., 400074 Volgograd, Russia)

  • Alexander Ignatyev

    (Department of Digital Technologies for Urban Studies, Architecture and Civil Engineering, Volgograd State Technical University, 1 Akademicheskaya Str., 400074 Volgograd, Russia)

Abstract

The article considers the actual problem of the ecology of urban areas associated with air pollution by industrial and energy enterprises. The study is aimed at substantiating the method of forming a plan for atmospheric air pollution observation using mobile laboratories. The quantitative characteristic of sites for different urban development zones is determined as a set of estimates. The air pollution index was chosen as a total sanitary and hygienic criterion for assessing pollution. The implementation of the decision-making problem using the analytic network process method is considered. Parameters of the city and environment that affect the assessment of atmospheric air quality were selected in the course of the study. A network structure of mutual influence of the studied parameters is formed. The architecture of the decision support system based on the proposed method is given. The created software makes it possible to automate the modeling of the distribution of pollutants in the atmosphere. The computational experiment is presented on the example of the Volgograd agglomeration, Russia. The proposed approach can significantly improve the organization of monitoring by mobile laboratories and reduce the cost of obtaining data on urban air pollution without increasing the number of existing observation laboratories, both stationary and mobile.

Suggested Citation

  • Nikolay Rashevskiy & Natalia Sadovnikova & Tatyana Ereshchenko & Danila Parygin & Alexander Ignatyev, 2023. "Atmospheric Ecology Modeling for the Sustainable Development of the Urban Environment," Energies, MDPI, vol. 16(4), pages 1-24, February.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:4:p:1766-:d:1064135
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    References listed on IDEAS

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