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Variation characteristic and source contribution of CO concentration at the background and urban station |
CHENG Si-yang, AN Xing-qin, ZHOU Ling-xi, CHENG Xing-hong |
State Key Laboratory of Severe Weather & Key Laboratory of Atmospheric Chemistry of China Metevological Administration, Chinese Academy of Meteorological Sciences, Beijing 100081, China |
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Abstract The simulation method, combining FLEXPART atmospheric diffusion model with emission inventory, has been used to study variation characteristic of CO concentration in Beijing by comparing with CO observation concentrations at Shangdianzi (SDZ) atmospheric background station and Baolian (BL) urban station in 2010. Also, source emission contribution discrepancy of CO concentration was studied with statistical analysis. The variations of simulated CO concentrations were similar to observed values at SDZ and BL, where the correlation coefficients of concentrations were greater than 0.76 and 0.52 between simulation and observation respectively. Compared with observed CO concentrations, simulated values were lower. Observed CO peaks were limited by the capacity of simulation. Using different source emissions for the same site, the simulated CO concentrations were similar, but the contributions of specific classifications (transportation, industry, resident and power) were distinctly different. Using emission inventory MEIC2010compared with emission inventory INTEX-B2006, the contribution ratios of transportation and industry were less and the contribution ratio of resident was greater at BL, and the contribution ratio of transportation was less and the contribution ratios of resident and industry were greater at SDZ. Therefore, the simulated method, combining FLEXPART model with emission inventory, was effective to CO concentration simulation, and variation characteristics of CO concentrations could be obtained at regional atmospheric background station and urban station. The contributions of emission sources were not only affected by local emissions but also determined by source emissions in the footprint area of measurement station.
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Received: 15 February 2016
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