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      Modeling Emission Flow Pattern of a Single Cruising Vehicle on Urban Streets with CFD Simulation and Wind Tunnel Validation

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          Abstract

          Transportation has become one of the primary sources of urban atmospheric pollutants and it causes severe diseases among city residents. This study focuses on assessing the pollutant dispersion pattern using computational fluid dynamics (CFD) numerical simulation, with the effect and results validated by the results from wind tunnel experiments. First, the wind tunnel experiment was carefully designed to preliminarily assess the flow pattern of vehicle emissions. Next, the spatiotemporal distribution of pollutant concentrations around the motor vehicle was modeled using a CFD numerical simulation. The pollutant concentration contours indicated that the diffusion process of carbon monoxide mainly occurred in the range of 0−2 m above the ground. Meanwhile, to verify the correctness of the CFD simulation, pressure distributions of seven selected points that were perpendicular along the midline of the vehicle surface were obtained from both the wind tunnel experiment and the CFD numerical simulation. The Pearson correlation coefficient between the numerical simulation and the wind tunnel measurement was 0.98, indicating a strong positive correlation. Therefore, the distribution trend of all pressure coefficients in the numerical simulation was considered to be consistent with those from the measurements. The findings of this study could shed light on the concentration distribution of platoon-based vehicles and the future application of CFD simulations to estimate the concentration of pollutants along urban street canyons.

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          Diffuse pollution characteristics of respirable dust in fully-mechanized mining face under various velocities based on CFD investigation

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            On the accuracy of CFD simulations of cross-ventilation flows for a generic isolated building: Comparison of RANS, LES and experiments

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              Analyzing spatiotemporal traffic line source emissions based on massive didi online car-hailing service data

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                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                24 June 2020
                June 2020
                : 17
                : 12
                : 4557
                Affiliations
                [1 ]State Key Laboratory of Ocean Engineering, School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China; shixueqing@ 123456sjtu.edu.cn (X.S.); danielsun@ 123456sjtu.edu.cn (D.S.)
                [2 ]China Institute of Urban Governance, Shanghai Jiao Tong University, Shanghai 200030, China
                [3 ]Shanghai Municipal Engineering Design Institute (Group) Co., Ltd., Shanghai 200092, China; railsj@ 123456163.com
                [4 ]Shanghai Institute of Tourism, Shanghai Normal University, Shanghai 200234, China
                Author notes
                [* ]Correspondence: bearnear@ 123456163.com (J.X.); lqzzh@ 123456163.com (Z.Z.)
                Author information
                https://orcid.org/0000-0001-5763-1709
                https://orcid.org/0000-0002-4331-6502
                https://orcid.org/0000-0002-7668-9663
                Article
                ijerph-17-04557
                10.3390/ijerph17124557
                7345076
                32599932
                416e0203-e1c6-42cf-ad7a-617cf63694be
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 21 May 2020
                : 11 June 2020
                Categories
                Article

                Public health
                traffic emissions,wind tunnel experiment,computational fluid dynamics (cfd),numerical simulation,pollutants

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