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Spatiotemporal variations and relationship of PM and gaseous pollutants based on gray correlation analysis

机译：基于灰色关联分析的PM与气态污染物时空变化及其关系

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摘要

The present work characterizes the spatiotemporal variations of air pollution at four sites in Xi'an city. The investigations lasted for 1 year: January 1 through December 31, 2015. The concentrations of CO, NO2, O-3, PM and SO2 were systematically monitored. The gray correlation analysis was used to correlate PM2.5 and gaseous pollutants. The formation mechanisms of sulfate and nitrate aerosols were discussed. Results clearly revealed severe air pollution by PM2.5, PM10 and NO2 at all four sites. Significant monthly variations were observed for PM2.5, PM10, SO2 and CO with the maximum values in December/January and minimum values in June/July. The O-3 level showed an opposite trend. Spatially, high variations were observed for PM and some gaseous pollutants at individual sites. Gray correlation analysis revealed the significance of various major influencing factors on seasonal PM2.5 values at each site. In general, PM10, SO2 and NO2 affect the PM2.5 more than other pollutants. For a more efficient control of air pollution, a systematic spatial characterization of the seasonal variability of individual influencing factors is necessary.
机译：本工作表征了西安市四个地点的空气污染的时空变化。调查持续了1年：2015年1月1日至2015年12月31日。系统地监测了CO，NO2，O-3，PM和SO2的浓度。灰色关联分析用于关联PM2.5和气态污染物。探讨了硫酸盐和硝酸盐气溶胶的形成机理。结果清楚地表明，所有四个地点的PM2.5，PM10和NO2严重污染了空气。观察到PM2.5，PM10，SO2和CO的每月显着变化，在12月/ 1月为最大值，6月/ 7月为最小值。 O-3水平显示出相反的趋势。在空间上，在各个地点观察到PM和一些气态污染物的高变化。灰色关联分析显示了每个站点上各主要影响因素对季节性PM2.5值的重要性。通常，PM10，SO2和NO2对PM2.5的影响大于其他污染物。为了更有效地控制空气污染，有必要对各个影响因素的季节变化进行系统的空间表征。

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  • 来源
    《Journal of Environmental Science and Health》 |2018年第2期|139-145|共7页
  • 作者

    Zhang Yong Y.; Jia Ying; Li Ming; Hou Li A.;

  • 作者单位

    Xian High Technol Inst, Sch Environm Technol, Xian 710025, Shaanxi, Peoples R China;

    Xian High Technol Inst, Sch Environm Technol, Xian 710025, Shaanxi, Peoples R China;

    Xian High Technol Inst, Sch Environm Technol, Xian 710025, Shaanxi, Peoples R China;

    Xian High Technol Inst, Sch Environm Technol, Xian 710025, Shaanxi, Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Air pollution; gray correlation analysis; PM2.5; PM10;

    机译：空气污染;灰色关联分析;PM2.5;PM10;

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