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Investigating missing sources of glyoxal over China using a regional air quality model (RAMS-CMAQ)

查看全文 作　　者：Jialin [1,2]Li;Meigen [1,2,3]Zhang;Guiqian [1]Tang;Fangkun [1]Wu;Leonardo M.A. [4]Alvarado;Mihalis [4,5,6]Vrekoussis;Andreas [4]Richter;John P. [4]Burrows 高影响力作者 机构地区：[1]State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry (LAPQ), Institute of Atmospheric Physics (IAP),Chinese Academy of Sciences (CAS), Beijing 100029, China;[2]University of Chinese Academy of Sciences, Beijing 100049, China;[3]Center for Excellence in Urban Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen 361021, China;[4]Institute of Environmental Physics and Remote Sensing, IUP, University of Bremen, D-28203 Bremen, Germany;[5]Center of Marine Environmental Sciences, MARUM, University of Bremen, D-28203 Bremen, Germany;[6]Energy, Environment and Water Research Center, the Cyprus Institute, CY2121 Nicosia, Cyprus高影响力机构 出　　处：《Journal of Environmental Sciences》索引2018年第30卷第9期,共11页高影响力期刊 基　　金：supported by the National Natural Science Foundation of China (No. 91544221);the National Key R&D Programs of China (Nos. 2017YFC0209803, 2017YFC0210000);the CAS Strategic Priority Research Program Grant (No. XDB05020000) 摘　　要：Currently, modeling studies tend to significantly underestimate observed space-based glyoxal(CHOCHO) vertical column densities(VCDs), implying the existence of missing sources of glyoxal. Several recent studies suggest that the emissions of aromatic compounds and molar yields of glyoxal in the chemical mechanisms may both be underestimated, which can affect the simulated glyoxal concentrations. In this study, the influences of these two factors on glyoxal amounts over China were investigated using the RAMS-CMAQ modeling system for January and July 2014. Four sensitivity simulations were performed, and the results were compared to satellite observations. These results demonstrated significant impacts on glyoxal concentrations from these two factors.In case 1, where the emissions of aromatic compounds were increased three-fold,improvements to glyoxal VCDs were seen in high anthropogenic emissions regions. In case 2, where molar yields of glyoxal from isoprene were increased five-fold, the resulted concentrations in July were 3–5-fold higher, achieving closer agreement between the modeled and measured glyoxal VCDs. The combined changes from both cases 1 and 2 were applied in case 3, and the model succeeded in further reducing the underestimations of glyoxal VCDs. However, the results over most of the regions with pronounced anthropogenic emissions were still underestimated. So the molar yields of glyoxal from anthropogenic precursors were considered in case 4. With these additional mole yield changes(a two-fold increase), the improved concentrations agreed better with the measurements in regions of the lower reaches of the Yangtze River and Yellow River in January but not in July. 关 键 词：空气质量模型 中国 地区性 失踪 VCD 化学机制 卫星观察 活动范围
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