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Numerical modeling of thermal influence to pollutant dispersion and dynamics of particles motion with various sizes in idealized street canyon

  • Alibek Issakhov EMAIL logo , Perizat Omarova EMAIL logo , Albina Mashenkova and Aizhan Abylkassymova EMAIL logo
Published/Copyright: November 18, 2022

Abstract

In this paper, a numerical simulation of air pollution and the particles distribution in idealized urban canyons with aspect ratio 1 for various thermal conditions was considered. To solve the problem, the RANS equations were used, while various turbulent models were used to close this system of equations. To validate of the mathematical model was solved the test problem in isothermal condition numerically. The various turbulent models results were compared with empirical and modeling results. The main problem was described as the pollutants emission process and particles between houses using various grass barrier types under different temperature regimes. The results of computational simulation without grass barrier were compared with the calculated values using different types of grass barriers. In the course of various studies, it was found that the existence of barriers along the streets reduces the concentration of harmful substances and the concentration of particles in the air. Increasing the thermal value for a roadside barrier reduces deposition and dispersion of pollutants.


Corresponding authors: Alibek Issakhov, al-Farabi Kazakh National University, Almaty, Republic of Kazakhstan; Kazakh British Technical University, Almaty, Republic of Kazakhstan; and International Information Technology University, Almaty, Republic of Kazakhstan, E-mail: ; Perizat Omarova, al-Farabi Kazakh National University, Almaty, Republic of Kazakhstan, E-mail: ; and Aizhan Abylkassymova, Kazakh British Technical University, Almaty, Republic of Kazakhstan, E-mail:

Funding source: Ministry of education and science of the Republic of Kazakhstan

Award Identifier / Grant number: AP14972710

  1. Author contributions: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: This work is supported by the grant from the Ministry of education and science of the Republic of Kazakhstan (AP14972710).

  3. Conflict of Interests: The authors declare that there is no conflict of interests regarding the publication of this paper.

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Received: 2020-07-23
Accepted: 2022-09-29
Published Online: 2022-11-18
Published in Print: 2023-02-23

© 2022 Walter de Gruyter GmbH, Berlin/Boston

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