Tofik I. Suleymanov, Shamsi E. Mamedov,
Azerbaijan National Aerospace Agency, Baku, Azerbaijan;
Elshan R. Ragimov,
Baku Higher Oil School, Baku, Azerbaijan;
Jeyhun R. Rahimov,
Azerbaijan Technical University, Baku, Azerbaijan
DOI: 10.36724/2664-066X-2024-10-4-14-20
SYNCHROINFO JOURNAL. Volume 10, Number 4 (2024). P. 14-20.
Abstract
The known static and dynamic wind speed influence models on the urban air purification degree from CO emitted by urban transport are analyzed. Three optimization problems of adaptive motor transport traffic organization of are formulated and solved on the dynamic model. It is proposed to introduce a control function for the total emitted amount of wind speed CO depending. The optimal function type is calculated, at which the pollutant rise height reduced to a minimum. The solution of the second optimization problem made it possible to determine those most unfavorable conditions, at which the safe distance to highway for a nearby settlement can reach a maximum. As a result of solving the third optimization problem, it is shown that the minimum average value of CO concentration at a certain height can be achieved with a certain dependence of wind speed horizontal component on the height of point under consideration.
Keywords: motor transport, dynamic model, air pollutant, adaptive control, optimization
References
[1] L. Yan, W. Hu, M. Q. Yin, “An investigation of the correlation between pollutant dispersion and wind environment: evaluation of static wind speed,” Pol. J. Environ. Stud. Vol. 30. No. 5. 2021, pp. 4311-4323.
[2] H. J. S. Fernando, S. M. Lee, J. Anderson, M. Princevac, E. Pardyjak, “Grossman-Clarke, S. Urban fluid mechanics: air circulation and contaminant dispersion in cities,” Environ. Fluid Mech. 1, 107, 2001.
[3] Z. L. Gu, Y. W. Zhang, Y. Cheng, S. C. Lee, “Effect of uneven building layout on air flow and pollutant dispersion in non-uniform street canyons,” Build. Environ. 46, 2657, 2011.
[4] C. Gromke, “A vegetation modeling concept for building and environmental aerodynamics wind tunnel tests and its application in pollutant dispersion studies,” Environ. Pollut. 159, 2094, 2011.
[5] Y. X. Du, B. Blocken, S. Pirker, “A novel approach to simulate pollutant dispersion in the built environment: Transport-based recurrence CFD,” Build. Environ. 170, 1, 2020.
[6] M. Hadipour, S. Pourebrahim, A. R. Mahmmud, “Mathematical modeling considering air pollution of transportation: an urban environmental planning, case study in petaling Jaya, Malaysia,” Theoretical and empirical researches in urban management. No. 4(13). 2009.
[7] Clean Water Action Council, “Environmental Impacts of Transportation,” USA, 2008.
[8] G. Haughton, C. Hunter, H. Haughton, “Sustainable Cities,” Routledge publisher, UK, 2003.
[9] T. Meszaros, L. Haszpra, A. Gelencser, “Tracking Changes in Carbon Monoxide Budget over Europe between 1995 and 2000,” Journal of Atmospheric, 2005.
[10] J. P. Rodrigue, C. Comtois, B. Slack, “The Geography of Transport Systems,” Taylor and Francis group publisher,” USA, 2006.
[11] L. E. Elsgolts, “Differential equations and calculus of variations,” Moscow: Nauka, 2000, 424 p.