Literature DB >> 27149146

Coupling dynamics and chemistry in the air pollution modelling of street canyons: A review.

Jian Zhong1, Xiao-Ming Cai2, William James Bloss1.   

Abstract

Air pollutants emitted from vehicles in street canyons may be reactive, undergoing mixing and chemical processing before escaping into the overlying atmosphere. The deterioration of air quality in street canyons occurs due to combined effects of proximate emission sources, dynamical processes (reduced dispersion) and chemical processes (evolution of reactive primary and formation of secondary pollutants). The coupling between dynamics and chemistry plays a major role in determining street canyon air quality, and numerical model approaches to represent this coupling are reviewed in this article. Dynamical processes can be represented by Computational Fluid Dynamics (CFD) techniques. The choice of CFD approach (mainly the Reynolds-Averaged Navier-Stokes (RANS) and Large-Eddy Simulation (LES) models) depends on the computational cost, the accuracy required and hence the application. Simplified parameterisations of the overall integrated effect of dynamics in street canyons provide capability to handle relatively complex chemistry in practical applications. Chemical processes are represented by a chemical mechanism, which describes mathematically the chemical removal and formation of primary and secondary species. Coupling between these aspects needs to accommodate transport, dispersion and chemical reactions for reactive pollutants, especially fast chemical reactions with time scales comparable to or shorter than those of typical turbulent eddies inside the street canyon. Different approaches to dynamical and chemical coupling have varying strengths, costs and levels of accuracy, which must be considered in their use for provision of reference information concerning urban canopy air pollution to stakeholders considering traffic and urban planning policies.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Air pollution; Box model; Chemical mechanism; Computational fluid dynamics (CFD); Large-eddy simulation; Street canyon

Mesh:

Substances:

Year:  2016        PMID: 27149146     DOI: 10.1016/j.envpol.2016.04.052

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  6 in total

1.  Simulations of the impacts of building height layout on air quality in natural-ventilated rooms around street canyons.

Authors:  Fang Yang; Ke Zhong; Yonghang Chen; Yanming Kang
Journal:  Environ Sci Pollut Res Int       Date:  2017-08-30       Impact factor: 4.223

2.  A new approach for inferring traffic-related air pollution: Use of radar-calibrated crowd-sourced traffic data.

Authors:  Markus Hilpert; Mychal Johnson; Marianthi-Anna Kioumourtzoglou; Arce Domingo-Relloso; Anisia Peters; Bernat Adria-Mora; Diana Hernández; James Ross; Steven N Chillrud
Journal:  Environ Int       Date:  2019-03-23       Impact factor: 9.621

3.  A Computational Fluid Dynamic (CFD) Simulation of PM10 Dispersion Caused by Rail Transit Construction Activity: A Real Urban Street Canyon Model.

Authors:  Yang Wang; Ying Zhou; Jian Zuo; Raufdeen Rameezdeen
Journal:  Int J Environ Res Public Health       Date:  2018-03-09       Impact factor: 3.390

4.  Objectively-Measured Neighbourhood Attributes as Correlates and Moderators of Quality of Life in Older Adults with Different Living Arrangements: The ALECS Cross-Sectional Study.

Authors:  Casper J P Zhang; Anthony Barnett; Janice M Johnston; Poh-Chin Lai; Ruby S Y Lee; Cindy H P Sit; Ester Cerin
Journal:  Int J Environ Res Public Health       Date:  2019-03-10       Impact factor: 3.390

5.  The neighbourhood environment and profiles of the metabolic syndrome.

Authors:  Anthony Barnett; Ester Cerin; Erika Martino; Luke D Knibbs; Jonathan E Shaw; David W Dunstan; Dianna J Magliano; David Donaire-Gonzalez
Journal:  Environ Health       Date:  2022-09-03       Impact factor: 7.123

6.  Cross-sectional associations of objectively assessed neighbourhood attributes with depressive symptoms in older adults of an ultra-dense urban environment: the Hong Kong ALECS study.

Authors:  Casper J P Zhang; Anthony Barnett; Cindy H P Sit; Poh-Chin Lai; Janice M Johnston; Ruby S Y Lee; Ester Cerin
Journal:  BMJ Open       Date:  2018-03-25       Impact factor: 2.692

  6 in total

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