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

  • Authors:

  • N. S. Leksmono;J. W. S. Longhurst;K. A. Ling;T. J. Chatterton;B. E. A. Fisher;J. G. Irwin

  • Affiliations:

  • Air Quality Research Group, Faculty of Applied Sciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK;Air Quality Research Group, Faculty of Applied Sciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK;Air Quality Research Group, Faculty of Applied Sciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK;Air Quality Research Group, Faculty of Applied Sciences, University of the West of England, Frenchay Campus, Coldharbour Lane, Bristol BS16 1QY, UK;Risk and Forecasting, Environment Agency, Kings Meadow House, Kings Meadow Road, Reading, RG1 8DQ, UK;Risk and Forecasting, Environment Agency, Kings Meadow House, Kings Meadow Road, Reading, RG1 8DQ, UK

  • Venue:
  • Environmental Modelling & Software
  • Year:
  • 2006

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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 NO"x:NO"2 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.