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

被引:74
作者
Sokhi, RS
San José, R
Kitwiroon, N
Fragkou, E
Pérez, JL
Middleton, DR
机构
[1] Univ Hertfordshire, Atmospher Sci Res Grp, Sci & Technol Res Inst, Hatfield AL10 9AB, Herts, England
[2] Tech Univ Madrid, Sch Comp Sci, Environm Software & Modelling Grp, Madrid, Spain
[3] Met Off, Exeter EX1 3PB, Devon, England
关键词
atmospheric modelling; urban air quality; MM5; CMAQ; ozone;
D O I
10.1016/j.envsoft.2004.07.016
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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 9 km, 3 kin and 1 km (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. (c) 2005 Elsevier Ltd. All rights reserved.
引用
收藏
页码:566 / 576
页数:11
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