Prediction of ozone levels in London using the MM5-CMAQ modelling system

  • Authors:

  • R. S. Sokhi;R. San José;N. Kitwiroon;E. Fragkou;J. L. Pérez;D. R. Middleton

  • Affiliations:

  • Atmospheric Science Research Group, Science and Technology Research Institute, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK;Environmental Software and Modelling Group, Computer Science School, Technical University of Madrid, Boadilla del Monte 28660 Madrid, Spain;Atmospheric Science Research Group, Science and Technology Research Institute, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK;Atmospheric Science Research Group, Science and Technology Research Institute, University of Hertfordshire, College Lane, Hatfield AL10 9AB, UK;Environmental Software and Modelling Group, Computer Science School, Technical University of Madrid, Boadilla del Monte 28660 Madrid, Spain;Met Office, FitzRoy Road, Exeter, Devon EX1 3PB, UK

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

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Abstract

Air pollution in urban areas has important implications for health and environmental management. Consequently, various methodologies have been developed for its assessment. Traditionally, simple approaches such as the box model or the Gaussian plume have been used to assess urban air quality. The use of Eulerian grid models, which provide a more realistic and comprehensive description of the urban atmosphere, has been increasing over the past few years. This paper reports on the use of the MM5-CMAQ modelling system to predict hourly ozone levels over London, UK. This work represents the first application of MM5-CMAQ in the UK for predicting air pollution levels in London. Domain resolutions of 9km, 3km and 1km (innermost) have been employed for this study. Summer periods in July and August 2002 have been simulated and the predicted results have been compared to several urban background stations across London. Input data for emissions have been derived from the UK National Emissions inventory and from the outputs of the EMIMO emission model. The CBM-IV chemical scheme has been used to simulate the atmospheric reactions for ozone. The model performance has been evaluated with measured data through a range of statistical measures. Although, the MM5-CMAQ model reproduces the ozone temporal trends it was not able to simulate the peak magnitudes consistently. Furthermore, for nighttime the model overestimated the ozone concentrations. The paper discusses the model performance and reasons for these discrepancies in terms of the various input data including emissions and meteorological parameters.