Determining the impact of motor vehicles on atmospheric air using existing predictive models
DOI:
https://doi.org/10.26906/znp.2024.63.3877Keywords:
motor vehicles, air pollution, pollutant emissions, forecasting models, mathematical modelsAbstract
Motor vehicle emissions have become a significant air pollution problem, especially in cities with high industrial concentrations like Kryvyi Rih. Despite ongoing air quality monitoring, assessing the direct impact of vehicles is challenging. Vehicle emissions, primarily released in the lower atmosphere, affect areas where human activity is most concentrated. To evaluate the impact of motor vehicles on air pollution, mathematical models are used to estimate pollutant concentrations based on traffic volume, intensity, fuel type, and other factors. In Kryvyi Rih, areas with the highest traffic intensity were identified, and CO and NO₂ dispersion models were developed. The CALRoads View software, using the CALINE4 model, and “EOL Plus,” based on the OND-86 methodology, were applied. A comparison of the results helped determine the suitable applications of each model for analyzing vehicle emissions in large urban areas.
References
1. Babkov V. S., Tkachenko T. Yu. Analysis of mathematical models for the dispersion of impurities from point sources / V. S. Babkov, T. Yu. Tkachenko // Scientific Works of Donetsk National Technical University. Series: Informatics, Cybernetics and Computer Technology. – 2011. – Iss. 13. – P. 147–155.
2. Petrosyan A. A., Maremukha T. P., Morgulova V. V. Comparative analysis of modeling the average concentrations of pollutants in the atmospheric surface layer using LAYER // Young Scientist. – 2020. – Vol. 7, No. 83. – URL: https://doi.org/10.32839/2304-5809/2020-7-83-2. DOI: https://doi.org/10.32839/2304-5809/2020-7-83-2
3. Wang X., et al. Apportionment of vehicle fleet emissions by linear regression, positive matrix factorization, and emission modeling / X. Wang et al. // Atmosphere. – 2022. – Vol. 13, No. 7. – P. 1066. – URL: https://doi.org/10.3390/atmos13071066. DOI: https://doi.org/10.3390/atmos13071066
4. Tatarchenko H. Theoretical aspects of modeling the dispersion of pollutants in the atmosphere / H. Tatarchenko // Urban Development and Spatial Planning. – 2022. – No. 79. – P. 381–395. – URL: https://doi.org/10.32347/2076-815x.2022.79.381-395. DOI: https://doi.org/10.32347/2076-815x.2022.79.381-395
5. MOVES and Related Models. EPA. – URL: https://www.epa.gov/moves/latest-version-motor-vehicle-emission-simulator-moves.
6. On-Road (EMFAC). California Air Resources Board. – URL: https://ww2.arb.ca.gov/our-work/programs/msei/on-road-emfac.
7. COPERT The Industry Standard Emissions Calculator. COPERT. – URL: https://copert.emisia.com/.
8. EMEP/EEA Air Pollutant Emission Inventory Guidebook 2019: Technical Guidance to Prepare National Emission Inventories. European Environment Agency. – 2019. – URL:
https://www.eea.europa.eu/www/ru/publications/rukovodstvo-emep-eaos-po-inventarizaciivybrosov-2019.
9. Emissions Report Overview. EMISIA. – URL: https://emissions-map.emisia.com/.
10. Software Products. Lakes Software. – URL: https://www.weblakes.com/software/.
11. OND-86: Methodology for calculating concentrations of harmful substances in ambient air from industrial emissions. - 68 P.
12. Halaktionov M. S., Bredun V. I. Infrastructure features of the city of Kryvyi Rih as an additional factor of road transport impact on the environment / M. S. Halaktionov, V. I. Bredun // Herald of Khmelnytskyi National University. Technical Sciences. – 2024. – Vol. 339, No. 4.
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Copyright (c) 2024 Mykola Halaktionov, Viktor Bredun
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Published 2024-12-18
