Literature DB >> 35450153

Observations and Parameterization of the Effects of Barrier Height and Source-to-Barrier Distance on Concentrations Downwind of a Roadway.

Dianna M Francisco1, David K Heist2, Akula Venkatram3, Lydia H Brouwer4, Steven G Perry2.   

Abstract

New results are presented from wind tunnel studies performed at the United States Environmental Protection Agency (U.S. EPA), which include cases with solid roadside barriers of varying heights and cases with varying distances between the line source (roadway) and a 6-m-tall barrier. The Source-to-Barrier Distance cases include seven lanes of traffic with each lane acting as an independent source of continuous emissions along a line (i.e., line source). A mixed-wake algorithm that accounts for barrier effects within a steady-state air dispersion model was updated based on the recent wind tunnel studies. To study the effects of a solid roadside barrier, varying barrier heights and varying distances between the line source and barrier were modeled with the U.S. EPA regulatory air dispersion model AERMOD (v. 21112) using the line-source option that includes an experimental barrier option (RLINEXT). The mixed-wake algorithm reproduced the shape of the vertical concentration profiles observed in the wind tunnel data, including the uniform concentration profile from the ground vertically to a height somewhat greater than the height of the barrier. The algorithm responded appropriately to changes in barrier height and source-to-barrier distance, producing greater reductions in ground-level concentrations for taller barriers and for shorter source-to-barrier distances. Additionally, a rule of thumb that approximates the effect of a downwind barrier was formulated by converting an estimated vertical dispersion into an additional travel distance. The wind tunnel results, the update to the mixed-wake algorithm, and a comparison of the two data sets are described in this paper.

Entities:  

Keywords:  AERMOD; dispersion modeling; mobile sources; solid barrier; wind tunnel

Year:  2022        PMID: 35450153      PMCID: PMC9016629          DOI: 10.1016/j.apr.2022.101385

Source DB:  PubMed          Journal:  Atmos Pollut Res            Impact factor:   4.831


  6 in total

1.  Numerical evaluations of urban design technique to reduce vehicular personal intake fraction in deep street canyons.

Authors:  Keer Zhang; Guanwen Chen; Xuemei Wang; Shanhe Liu; Cheuk Ming Mak; Yifan Fan; Jian Hang
Journal:  Sci Total Environ       Date:  2018-10-28       Impact factor: 7.963

2.  Modeling Dispersion of Emissions from Depressed Roadways.

Authors:  Seyedmorteza Amini; Faraz Enayati Ahangar; David K Heist; Steven G Perry; Akula Venkatram
Journal:  Atmos Environ (1994)       Date:  2018       Impact factor: 4.798

3.  Acute cardiovascular effects of traffic-related air pollution (TRAP) exposure in healthy adults: A randomized, blinded, crossover intervention study.

Authors:  Bin Han; Ruojie Zhao; Nan Zhang; Jia Xu; Liwen Zhang; Wen Yang; Chunmei Geng; Xinhua Wang; Zhipeng Bai; Sverre Vedal
Journal:  Environ Pollut       Date:  2021-07-01       Impact factor: 8.071

4.  Reduction of air pollution levels downwind of a road with an upwind noise barrier.

Authors:  Faraz Enayati Ahangar; David Heist; Steven Perry; Akula Venkatram
Journal:  Atmos Environ (1994)       Date:  2017       Impact factor: 4.798

5.  Dispersion at the edges of near road noise barriers.

Authors:  Akula Venkatram; David K Heist; Steven G Perry; Lydia Brouwer
Journal:  Atmos Pollut Res       Date:  2021-02-05       Impact factor: 4.352

6.  A cohort study of traffic-related air pollution and mortality in Toronto, Ontario, Canada.

Authors:  Michael Jerrett; Murray M Finkelstein; Jeffrey R Brook; M Altaf Arain; Palvos Kanaroglou; Dave M Stieb; Nicolas L Gilbert; Dave Verma; Norm Finkelstein; Kenneth R Chapman; Malcolm R Sears
Journal:  Environ Health Perspect       Date:  2009-01-05       Impact factor: 9.031

  6 in total

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