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Assessment of the relationship between industrial and traffic sources contributing to air quality objective exceedences: A theoretical modelling exercise

Chatterton, T. J.; Leksmono, N. S.; Fisher, B. E.A.; Irwin, J. G.; Longhurst, James; Ling, Katy

Authors

T. J. Chatterton

N. S. Leksmono

B. E.A. Fisher

J. G. Irwin

Katy Ling Katy.Ling@uwe.ac.uk
Senior Lecturer in Applied Ecology



Abstract

In the UK, local government is under a statutory duty to undertake scientific review and assessment of air quality and designate Air Quality Management Areas (AQMAs) in locations with identified air quality problems. This paper investigates, from a theoretical perspective, a situation where traffic is not the sole cause of an AQMA declaration. It presents air quality assessments in different scenarios, which are modelled using ADMS-Urban to predict concentrations of nitrogen dioxide. Modelling is carried out using simple scenarios with a combination of traffic and industrial emissions, different type of roads, meteorological data and approaches to derive nitrogen dioxide from oxides of nitrogen. The modelling results have shown the significance of the NOx:NO2 relationship and meteorological data as parameters inputted into the model. The results are discussed and compared with the guidance provided by Department for Environment, Food and Rural Affairs (Defra). Examples of local authorities' source apportionment studies are presented. © 2004 Elsevier Ltd. All rights reserved.

Citation

Irwin, J. G., Fisher, B. E., Leksmono, N. S., Chatterton, T. J., Longhurst, J., & Ling, K. (2006). Assessment of the relationship between industrial and traffic sources contributing to air quality objective exceedences: A theoretical modelling exercise. Environmental Modelling and Software, 21(4), 494-500. https://doi.org/10.1016/j.envsoft.2004.07.012

Journal Article Type Conference Paper
Publication Date Apr 1, 2006
Journal Environmental Modelling and Software
Print ISSN 1364-8152
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 21
Issue 4
Pages 494-500
DOI https://doi.org/10.1016/j.envsoft.2004.07.012
Keywords air quality management, NOx:NO2 relationship, traffic pollution, industrial pollution, ADMS-Urban, theoretical modelling
Public URL https://uwe-repository.worktribe.com/output/1040190
Publisher URL http://dx.doi.org/10.1016/j.envsoft.2004.07.012
Additional Information Additional Information : Equal co-author. Drawing on the Doctoral research of Leksmono (Ling supervisor) funded by the Environment Agency this paper demonstrates the importance of initial assumptions to modelling exercises and questions the validity in determining exceedences of air quality objectives. Significant in terms of the role of regulators in implementing government policy.