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

IF 1.4 4区 工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY International Journal of Nonlinear Sciences and Numerical Simulation Pub Date : 2022-11-18 DOI:10.1515/ijnsns-2020-0168
A. Issakhov, P. Omarova, A. Mashenkova, A. Abylkassymova
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Abstract

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.
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理想街道峡谷中热影响污染物扩散及不同粒径颗粒运动动力学的数值模拟
摘要本文考虑了在各种热条件下,纵横比为1的理想化城市峡谷中的空气污染和颗粒物分布的数值模拟。为了解决这个问题,使用了RANS方程,同时使用了各种湍流模型来闭合这个方程组。为了验证数学模型,对等温条件下的试验问题进行了数值求解。将各种湍流模型的结果与经验和模型结果进行了比较。主要问题是在不同温度条件下,使用各种草屏障的房屋之间的污染物排放过程和颗粒物。将无草栅的计算模拟结果与使用不同类型草栅的数值进行了比较。在各种研究过程中,人们发现街道上设置障碍物可以降低有害物质的浓度和空气中颗粒物的浓度。增加路边护栏的热值可以减少污染物的沉积和扩散。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.80
自引率
6.70%
发文量
117
审稿时长
13.7 months
期刊介绍: The International Journal of Nonlinear Sciences and Numerical Simulation publishes original papers on all subjects relevant to nonlinear sciences and numerical simulation. The journal is directed at Researchers in Nonlinear Sciences, Engineers, and Computational Scientists, Economists, and others, who either study the nature of nonlinear problems or conduct numerical simulations of nonlinear problems.
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