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Emission inventory evaluation using observations of regional atmospheric background stations of China
作者姓名:Xingqin An  Zhaobin Sun  Weili Lin  Min Jin  Nan Li
作者单位:Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China;Beijing Meteorological Observatory, Beijing 100089, China;Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China;Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China;Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China
基金项目:This work was supported by the Chinese Ministry of Science and Technology (No. 2011CB403404), the CAMS Basic Research Funds-regular (No. 2010Y005), the Specific Team Fund of CAMS (No. 2010Z002) and the National Natural Science Foundation of China (No. 40875086).
摘    要:Any accurate simulation of regional air quality by numerical models entails accurate and up-to-date emissions data for that region.The INTEX-B2006 (I06),one of the newest emission inventories recently popularly used in China and East Asia,has been assessed using the Community Multiscale Air Quality model and observations from regional atmospheric background stations of China.Comparisons of the model results with the observations for the species SO2,NO 2,O 3 and CO from the three regional atmospheric background stations of Shangdianzi,Longfengshan and Linan show that the model can basically capture the temporal characteristics of observations such as the monthly,seasonal and diurnal variance trends.Compared to the other three species,the simulated CO values were grossly underestimated by about two-third or one-half of the observed values,related to the uncertainty in CO emissions.Compared to the other two stations,Shangdianzi had poorer simulations,especially for SO2 and CO,which partly resulted from the site location close to local emission sources from the Beijing area;and the regional inventory used was not capable of capturing the influencing factors of strong regional sources on stations.Generally,the fact that summer gave poor simulation,especially for SO2 and O 3,might partly relate to poor simulations of meteorological fields such as temperature and wind.

关 键 词:evaluation  CMAQ  model  INTEX-B2006  inventory  regional  atmospheric  background  stations
收稿时间:18 June 2012
修稿时间:22 August 2012

Emission inventory evaluation using observations of regional atmospheric background stations of China
Xingqin An,Zhaobin Sun,Weili Lin,Min Jin,Nan Li.Emission inventory evaluation using observations of regional atmospheric background stations of China[J].Journal of Environmental Sciences,2013,25(3):537-546.
Authors:Xingqin An  Zhaobin Sun  Weili Lin  Min Jin and Nan Li
Institution:1. Chinese Academy of Meteorological Sciences, China Meteorological Administration, Beijing 100081, China
2. Beijing Meteorological Observatory, Beijing 100089, China
Abstract:Any accurate simulation of regional air quality by numerical models entails accurate and up-to-date emissions data for that region. The INTEX-B2006 (I06), one of the newest emission inventories recently popularly used in China and East Asia, has been assessed using the Community Multiscale Air Quality model and observations from regional atmospheric background stations of China. Comparisons of the model results with the observations for the species SO2, NO2, O3 and CO from the three regional atmospheric background stations of Shangdianzi, Longfengshan and Linan show that the model can basically capture the temporal characteristics of observations such as the monthly, seasonal and diurnal variance trends. Compared to the other three species, the simulated CO values were grossly underestimated by about two-third or one-half of the observed values, related to the uncertainty in CO emissions. Compared to the other two stations, Shangdianzi had poorer simulations, especially for SO2 and CO, which partly resulted from the site location close to local emission sources from the Beijing area; and the regional inventory used was not capable of capturing the influencing factors of strong regional sources on stations. Generally, the fact that summer gave poor simulation, especially for SO2 and O3, might partly relate to poor simulations of meteorological fields such as temperature and wind.
Keywords:evaluation  CMAQ model  INTEX-B2006 inventory  regional atmospheric background stations
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