Predicting Dust Pollution in the Passenger Compartment
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Date
2022
Journal Title
Journal ISSN
Volume Title
Publisher
Kaunas University of Technology, Kaunas
Abstract
ENG: Fine dust particles, which are present in the air in large quantities, are dangerous to human health. They enter the body through the lungs, but move to almost all organs, causing a number of respiratory diseases, pneumonia and are carriers of the coronavirus. This research proposes a method for numerically calculating the process of dust pollution of the passenger compartment when fine dust enters the cabin through the ventilation system. To calculate the concentration field of dust in the cabin, the equation of convective-diffusion dust dispersion is used, which takes into account the intensity of dust entering the passenger compartment, the unevenness of the air flow velocity field in the passenger compartment, diffusion, and additional dust emission from the floor surface. To calculate the velocity field of the air flow in the car interior, a potential flow model is used, the modeling equation is the Laplace equation for the velocity potential. For the numerical integration of the convective-diffusion dispersion equation of fine dust in the cabin, implicit finite-difference splitting schemes are used. For the numerical solution of the equation for the aerodynamic velocity potential, the alternating-triangular method of A. Samarsky is used. The computer code has been developed that implements the method of numerical calculation. The results of computational experiments to assess the level of dust pollution in the passenger compartment are presented.
Description
M. Biliaiev: ORCID 0000-0002-1531-7882, T. Rusakova: ORCID 0000-0001-5526-3578; V. Biliaieva: ORCID 0000-0003-2399-3124; P. Mashykhina: ORCID 0000-0003-3057-9204; K. Rusakova: ORCID 0000-0002-9881-9035
Keywords
auto transport, air pollution, canyon, velocity field, difference methods, pollution concentration level, КГВ
Citation
Biliaiev M., Rusakova T., Biliaieva V., Mashykhina P., Rusakova K. Predicting Dust Pollution in the Passenger Compartment. Transport Means 2022 : Proc. of the 26th Intern. Sci. Conf. (05–07 Oct., 2022, Kaunas, Lithuania). Kaunas, 2022. Pt. I. P. 206–211.