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Air flow and concentration fields at urban road intersections for improved understanding of personal exposure

Air flow and concentration fields at urban road intersections for improved understanding of personal exposure
Air flow and concentration fields at urban road intersections for improved understanding of personal exposure
This paper reviews the state of knowledge on modelling air flow and concentration fields at road intersections. The first part covers the available literature from the past two decades on experimental (both field and wind tunnel) and modelling activities in order to provide insight into the physical basis of flow behaviour at a typical cross-street intersection. This is followed by a review of associated investigations of the impact of traffic-generated localised turbulence on the concentration fields due to emissions from vehicles. There is a discussion on the role of adequate characterisation of vehicle-induced turbulence in making predictions using hybrid models, combining the merits of conventional approaches with information obtained from more detailed modelling. This concludes that, despite advancements in computational techniques, there are crucial knowledge gaps affecting the parameterisations used in current models for individual exposure. This is specifically relevant to the growing impetus on walking and cycling activities on urban roads in the context of current drives for sustainable transport and healthy living. Due to inherently longer travel times involved during such trips, compared to automotive transport, pedestrians and cyclists are subjected to higher levels of exposure to emissions. Current modelling tools seem to under-predict this exposure because of limitations in their design and in the empirical parameters employed
0160-4120
1005-1018
Tiwary, Abhishek
f948aa5f-5c42-42b0-8bcb-d8ea5e0d58f8
Robins, Alan
fae9b9ac-6c19-4f4a-b265-a26cdd675585
Namdeo, Anil
9f4cbee9-77e7-471e-8c0b-b02a1188fc4c
Bell, Margaret
836c2c8e-4f09-41a8-878a-f7f7620ca119
Tiwary, Abhishek
f948aa5f-5c42-42b0-8bcb-d8ea5e0d58f8
Robins, Alan
fae9b9ac-6c19-4f4a-b265-a26cdd675585
Namdeo, Anil
9f4cbee9-77e7-471e-8c0b-b02a1188fc4c
Bell, Margaret
836c2c8e-4f09-41a8-878a-f7f7620ca119

Tiwary, Abhishek, Robins, Alan, Namdeo, Anil and Bell, Margaret (2011) Air flow and concentration fields at urban road intersections for improved understanding of personal exposure. Environment International, 37 (5), 1005-1018. (doi:10.1016/j.envint.2011.02.006). (PMID:21435722)

Record type: Article

Abstract

This paper reviews the state of knowledge on modelling air flow and concentration fields at road intersections. The first part covers the available literature from the past two decades on experimental (both field and wind tunnel) and modelling activities in order to provide insight into the physical basis of flow behaviour at a typical cross-street intersection. This is followed by a review of associated investigations of the impact of traffic-generated localised turbulence on the concentration fields due to emissions from vehicles. There is a discussion on the role of adequate characterisation of vehicle-induced turbulence in making predictions using hybrid models, combining the merits of conventional approaches with information obtained from more detailed modelling. This concludes that, despite advancements in computational techniques, there are crucial knowledge gaps affecting the parameterisations used in current models for individual exposure. This is specifically relevant to the growing impetus on walking and cycling activities on urban roads in the context of current drives for sustainable transport and healthy living. Due to inherently longer travel times involved during such trips, compared to automotive transport, pedestrians and cyclists are subjected to higher levels of exposure to emissions. Current modelling tools seem to under-predict this exposure because of limitations in their design and in the empirical parameters employed

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More information

Published date: 2011
Organisations: Civil Maritime & Env. Eng & Sci Unit

Identifiers

Local EPrints ID: 354514
URI: http://eprints.soton.ac.uk/id/eprint/354514
ISSN: 0160-4120
PURE UUID: 57cc9199-b11a-4aff-ac6e-cbaf540dd45b

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Date deposited: 12 Jul 2013 10:12
Last modified: 14 Mar 2024 14:20

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Contributors

Author: Abhishek Tiwary
Author: Alan Robins
Author: Anil Namdeo
Author: Margaret Bell

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