Spread of harmful substances in the atmosphere of industrial cities of Kazakhstan: modeling and data refinement

In Kazakhstan, air pollution in industrial cities poses a significant challenge that requires urgent attention. This study investigates the dispersion of harmful pollutants in the air across nine prominent industrial cities in Kazakhstan. The research involves modeling the emissions from major pollution sources for each city, which provides a comprehensive view of how these substances spread through the atmosphere. The study also examines the distribution patterns of these pollutants to gauge their concentration levels in each urban area. Additionally, it addresses the inverse problem of data assimilation from automated monitoring stations (AMS), aiming to refine the information on pollution sources. By utilizing the conjugate equations method, the study successfully converged to an accurate solution. Detailed visualizations for Almaty, Ust-Kamenogorsk, and Pavlodar illustrate the pollution dynamics and pinpoint the most affected regions. These findings are crucial for formulating strategies to mitigate the adverse effects of industrial emissions on both the environment and public health.

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Publication Details

Journal
Indonesian Journal of Electrical Engineering and Computer Science
Published
2024-10-31
DOI
https://doi.org/10.11591/ijeecs.v37.i1.pp636-647
Citations
1
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.21

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article

Spread of harmful substances in the atmosphere of industrial cities of Kazakhstan: modeling and data refinement

Nurlan Temirbekov, Dinara Tamabay, Moldir Tanashova
1 citations
Indonesian Journal of Electrical Engineering and Computer Science
Air Quality Monitoring and Forecasting
0.21
article

Spread of harmful substances in the atmosphere of industrial cities of Kazakhstan: modeling and data refinement

Nurlan Temirbekov, Dinara Tamabay, Moldir Tanashova
article en
1 citations

Abstract

In Kazakhstan, air pollution in industrial cities poses a significant challenge that requires urgent attention. This study investigates the dispersion of harmful pollutants in the air across nine prominent industrial cities in Kazakhstan. The research involves modeling the emissions from major pollution sources for each city, which provides a comprehensive view of how these substances spread through the atmosphere. The study also examines the distribution patterns of these pollutants to gauge their concentration levels in each urban area. Additionally, it addresses the inverse problem of data assimilation from automated monitoring stations (AMS), aiming to refine the information on pollution sources. By utilizing the conjugate equations method, the study successfully converged to an accurate solution. Detailed visualizations for Almaty, Ust-Kamenogorsk, and Pavlodar illustrate the pollution dynamics and pinpoint the most affected regions. These findings are crucial for formulating strategies to mitigate the adverse effects of industrial emissions on both the environment and public health.

Indonesian Journal of Electrical Engineering and Computer ScienceVol. 37(1)
Al-Farabi Kazakh National University (KZ)
Uddannelses- og Forskningsministeriet
Openalex Percentile: Top 49%
Air Quality Monitoring and Forecasting
0.21
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