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首页> 外文期刊>Atmospheric research >Simultaneous measurement of particulate and gaseous pollutants in an urban city in North China Plain during the heating period: Implication of source contribution
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Simultaneous measurement of particulate and gaseous pollutants in an urban city in North China Plain during the heating period: Implication of source contribution

机译:华北平原城市供暖期间颗粒物和气态污染物的同时测量:源贡献的含义

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摘要

A comprehensive measurement program was undertaken in winter 2009 in a large urban city (Ji'nan) in North China Plain (NCP). The average concentrations of NO, NO_2, NO_x, NO_y, SO_2,O_3, CO, PM_(2.5) and BC during the program were 63.9 ± 65.1 ppb, 45.2 ± 16.9 ppb, 106.6 ± 77.8 ppb, 120.7 ± 77.4 ppb, 54.3 ± 25.8 ppb, 6.3 ± 6.0 ppb, 2138.3 ± 1512.8 ppb, 171.3 ± 83.9 μg/m~3 and 9.8 ± 6.9 μg/m~3, respectively. Two severe haze episodes were observed. All species, except O_3, had elevated concentrations on the episodes compared with those on non-hazy days due to accumulation of pollutants. Diurnal variations of species concentrations and correlation analysis suggested that emissions from vehicles and coal combustion (from power plants, industry and domestic heating) are the main sources. Air mass on Episode 1 was predominately influenced by coal combustion, while pollution was characterized by the vehicular emissions on Episode 2. In contrast, on non-hazy days, pollutants were mainly from the mixing of local coal-fired and vehicular exhaust emissions. These distinct characteristics were further supported by higher ratios of CO to NO_y and SO_2 to NO_y on Episode 1 (25.46 ppb/ ppb and 0.51 ppb/ppb) compared to Episode 2 (15.55 ppb/ppb and 0.36 ppb/ppb) and non-hazy days (18.15 ppb/ppb and 0.45 ppb/ppb). Multiple linear regression analysis was applied to the concentrations of NO_y, SO_2 and CO in the observation and empirical equations were obtained for the NO_y concentration. Based on the equations, the relative contributions from mobile (i.e. vehicular exhaust) and point sources (i.e. coal combustion) to NO_y were estimated to be 68.2% and 38.6%, respectively, demonstrating that even in the demanding period of domestic heating in NCP, vehicular emissions in a large urban city contribute more to NO_y than coal combustion emissions. This also implies that vehicular emissions, featured with high NO_x, become a dominant source of pollution, highlighting the recent finding of long-term increase of NO_2 in the NCP region by satellite observation (Richter et al., 2005).
机译:2009年冬季,在华北平原(NCP)的一个大型城市城市(济南)进行了一项全面的测量计划。程序中NO,NO_2,NO_x,NO_y,SO_2,O_3,CO,PM_(2.5)和BC的平均浓度分别为63.9±65.1 ppb,45.2±16.9 ppb,106.6±77.8 ppb,120.7±77.4 ppb,54.3± 25.8 ppb,6.3±6.0 ppb,2138.3±1512.8 ppb,171.3±83.9μg/ m〜3和9.8±6.9μg/ m〜3。观察到两次严重的薄雾发作。由于污染物的积累,除O_3外,所有物种的发作期浓度均高于非朦胧的物种。物种浓度的日变化和相关分析表明,车辆和燃煤(发电厂,工业和家庭取暖)的排放是主要来源。第1集的空气质量主要受燃煤影响,而污染的特征是第2集的汽车排放。相比之下,在非朦胧的日子,污染物主要来自当地燃煤和汽车废气的混合。与第2集(15.55 ppb / ppb和0.36 ppb / ppb)相比,第1集中的CO与NO_y和SO_2与NO_y的比率(分别为25.46 ppb / ppb和0.51 ppb / ppb)更高,进一步支持了这些独特的特性。天(18.15 ppb / ppb和0.45 ppb / ppb)。对观测中的NO_y,SO_2和CO浓度进行了多元线性回归分析,得到了NO_y浓度的经验方程。根据这些方程,移动(即车辆废气)和点源(即燃煤)对NO_y的相对贡献估计分别为68.2%和38.6%,这表明即使在NCP的家庭供暖需求旺盛的时期,大型城市中的汽车排放物对NO_y的贡献要大于燃煤排放物。这也意味着具有高NO_x特征的车辆排放已成为污染的主要来源,这凸显了最近通过卫星观测发现NCP地区NO_2长期增加的发现(Richter等,2005)。

著录项

  • 来源
    《Atmospheric research》 |2013年第12期|24-34|共11页
  • 作者单位

    Environment Research Institute, Shandong University, Ji'nan, 250100, Shandong Province, PR China,College of Environmental Science and Engineering, Jilin Normal University, Siping, 136000, Jilin Province, PR China;

    Environment Research Institute, Shandong University, Ji'nan, 250100, Shandong Province, PR China;

    Department of Physics and Materials Science, City University of Hong Kong, Hong Kong, China;

    Environment Research Institute, Shandong University, Ji'nan, 250100, Shandong Province, PR China;

    Environment Research Institute, Shandong University, Ji'nan, 250100, Shandong Province, PR China;

    Environment Research Institute, Shandong University, Ji'nan, 250100, Shandong Province, PR China;

    Environment Research Institute, Shandong University, Ji'nan, 250100, Shandong Province, PR China;

    Environment Research Institute, Shandong University, Ji'nan, 250100, Shandong Province, PR China;

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  • 正文语种 eng
  • 中图分类
  • 关键词

    Particulate and gaseous pollutants; Sources; Heating period; Hazy and non-hazy days; North China Plain;

    机译:颗粒状和气态污染物;资料来源;加热时间;朦胧和非朦胧的日子;华北平原;

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