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

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.

• Presentation Conference Type: Conference Paper (published)
• 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.