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Air quality forecast of PM₁₀ in Beijing with Community Multi-scale Air Quality Modeling (CMAQ) system: emission and improvement

 

Q. Z. Wu¹, W. S. Xu², A. J. Shi², Y. T. Li², X. J. Zhao³, Z. F. Wang⁴, J. X. Li², and L. N. Wang¹

 

¹College of Global Change and Earth System Science, Beijing Normal University, Beijing 100875, China

²Beijing Municipal Environmental Protection Monitoring Center, Beijing 100048, China

³Environmental Meteorology Forecast Center of Beijing-Tianjin-Hebei, Beijing 100089, China

⁴State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPC), Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing 100029, China

 

ABSTRACT

The MM5-SMOKE-CMAQ model system, which was developed by the United States Environmental Protection Agency (US EPA) as the MODELS-3 system, has been used for daily air quality forecasts in the Beijing Municipal Environmental Monitoring Center (Beijing MEMC), as a part of the Ensemble air quality Modeling forecast System for Beijing (EMS-Beijing) since the 2008 Olympic Games. According to the daily forecast results for the entire duration of 2010, the model shows good performance in the PM₁₀ forecast on most days but clearly underestimates PM₁₀ concentration during some air pollution episodes. A typical air pollution episode from 11–20 January 2010 was chosen, in which the observed air pollution index of particulate matter (PM₁₀-API) reached 180 while the forecast PM₁₀-API was about 100. 

In this study, three numerical methods are used for model improvement: first, by enhancing the inner domain with 3 km resolution grids, and expanding the coverage from only Beijing to an area including Beijing and its surrounding cities; second, by adding more regional point source emissions located at Baoding, Landfang and Tangshan, to the south and east of Beijing; third, by updating the area source emissions, including the regional area source emissions in Baoding and Tangshan and the local village/town-level area source emissions in Beijing. The last two methods are combined as the updated emissions method. According to the model sensitivity testing results by the CMAQ model, the updated emissions method and expanded model domain method can both improve the model performance separately. But the expanded model domain method has better ability to capture the peak values of PM₁₀ than the updated emissions method due to better reproduction of the pollution transport process in this episode. As a result, the hindcast results ("New(CMAQ)"), which are driven by the updated emissions in the expanded model domain, show a much better model performance in the national standard station-averaged PM₁₀-API. The daily hindcast PM₁₀-API reaches 180 and is much closer to the observed value, and has a high correlation coefficient of 0.93. The correlation coefficient of the PM₁₀-API in all Beijing MEMC stations between the hindcast and observation is 0.82, clearly higher than the forecast 0.54. The FAC2 increases from 56% in the forecast to 84% in the hindcast, and the NMSE decreases from 0.886 to 0.196. The hindcast also has better model performance in PM₁₀ hourly concentrations during the typical air pollution episode. The updated emissions method accompanied by a suitable domain in this study improved the model performance for the Beijing area significantly.

 

PUBLISHED BY: GEOSCIENTIFIC MODEL DEVELOPMENT, 2014, 7: 2243–2259

 

SOURCE: http://www.geosci-model-dev.net/7/2243/2014/gmd-7-2243-2014.html