Long-term assessment of particulate matter using CHIMERE model

被引:39
|
作者
Monteiro, A. [1 ]
Miranda, A. I. [1 ]
Borrego, C. [1 ]
Vautard, R. [2 ,3 ]
Ferreira, J. [1 ]
Perez, A. T. [4 ]
机构
[1] Univ Aveiro, Dept Ambiente & Ordenamento, CESAM, P-3810193 Aveiro, Portugal
[2] Ecole Polytech, Lab Meteorol Dynam, Palaiseau, France
[3] CEA, CNRS, UVSQ, LSCE IPSL, F-91191 Gif Sur Yvette, France
[4] Inst Ambiente, Lisbon, Portugal
关键词
aerosol; long-term simulation; model validation; CHIMERE model;
D O I
10.1016/j.atmosenv.2007.06.008
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Particulate matter (PM) and aerosols have became a critical pollutant and object of several research applications, due to their increasing levels, especially in urban areas, causing air pollution problems and thus effects on human health. The main purpose of this study is to perform a first long-term air quality assessment for Portugal, regarding aerosols and PM pollution. The CHIMERE chemistry-transport model, forced by the MM5 meteorological fields, was applied over Portugal for 2001 year, with 10 km horizontal resolution, using an emission inventory obtained from a spatial top-down disaggregation of the 2001 national inventory database. The evaluation model exercise shows a model trend to overestimate particulate pollution episodes (peaks) at urban sites, especially in winter season. This could be due to an underprediction of the winter model vertical mixing and also to an overestimation of PM emissions. Simulated inorganic components (ammonium and sulfate) and secondary organic aerosols (SOA) were compared to measurements taken at Aveiro (northwest coast of Portugal). An underestimation of the three components was verified. However, the model is able to predict their seasonal variation. Nevertheless, as a first approach, and despite the complex topography and coastal location of Portugal affected by sea salt natural aerosols emissions, the results obtained show that the model reproduces the PM levels, temporal evolution, and spatial patterns. The concentration maps reveal that the areas with high PM values are covered by the air quality monitoring network. (C) 2007 Published by Elsevier Ltd.
引用
收藏
页码:7726 / 7738
页数:13
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