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Investigations of temporal and spatial distribution of precursors SO2 and NO2 vertical columns in the North China Plain using mobile DOAS

机译:使用移动DOAS在华北平原中前体SO2和NO2垂直柱的时间和空间分布的研究

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Recently, Chinese cities have suffered severe events of haze air pollution, particularly in the North China Plain (NCP). Investigating the temporal and spatial distribution of pollutants, emissions, and pollution transport is necessary to better understand the effect of various sources on air quality. We report on mobile differential optical absorption spectroscopy (mobile DOAS) observations of precursors SO2 and NO2 vertical columns in the NCP in the summer of 2013 (from 11?June to 7?July) in this study. The different temporal and spatial distributions of SO2 and NO2 vertical column density (VCD) over this area are characterized under various wind fields. The results show that transport from the southern NCP strongly affects air quality in Beijing, and the transport route, particularly SO2 transport on the route of Shijiazhuang–Baoding–Beijing, is identified. In addition, the major contributors to SO2 along the route of Shijiazhuang–Baoding–Beijing are elevated sources compared to low area sources for the route of Dezhou–Cangzhou–Tianjin–Beijing; this is found using the interrelated analysis between in situ and mobile DOAS observations during the measurement periods. Furthermore, the discussions on hot spots near the city of JiNan show that average observed width of polluted air mass is 11.83 and 17.23?km associated with air mass diffusion, which is approximately 60?km away from emission sources based on geometrical estimation. Finally, a?reasonable agreement exists between the Ozone Monitoring Instrument (OMI) and mobile DOAS observations, with a correlation coefficient (R2) of 0.65 for NO2 VCDs. Both datasets also have a similar spatial pattern. The fitted slope of 0.55 is significantly less than unity, which can reflect the contamination of local sources, and OMI observations are needed to improve the sensitivities to the near-surface emission sources through improvements of the retrieval algorithm or the resolution of satellites.
机译:最近,中国城市遭受了雾霾空气污染的严峻事件,特别是在华北平原(NCP)。需要研究污染物,排放和污染运输的时间和空间分布,以更好地了解各种来源对空气质量的影响。我们在2013年夏天(从11月到7日为7月7日),我们在NCP中报告了NCP前体SO2和NO2垂直柱的前体SO2和NO2垂直柱的观察。在该区域的SO2和NO2垂直列密度(VCD)的不同时间和空间分布在各种风场下表征。结果表明,南方NCP的运输强烈影响北京的空气质量,并确定了石家庄 - 保定北京路线的运输路线,特别是SO2运输。此外,与德州 - 沧州 - 天津 - 北京路线的低地区来源相比,石家庄 - 保国 - 北京路线的主要贡献者是升高的来源;在测量期间,使用原位和移动DOAS观测之间的相互关联分析找到了这一点。此外,济南市附近的热点的讨论表明,与空气质量扩散相关的平均观察到的污染空气质量宽度为11.83和17.23 km,其基于几何估计,从发射源大约60Ω厘米。最后,臭氧监测仪器(OMI)和移动DOAS观察之间存在合理的协议,具有0.65的相关系数(R2)对于NO 2 VCD。两个数据集也具有类似的空间模式。 0.55的装配斜率明显小于团结,可以反映局部来源的污染,并且需要通过改善检索算法或卫星分辨率来改善近表面发射源的敏感性。

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