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Daily Trends and Source Apportionment of Ultrafine Participate Mass (PM_(0.1)) over an Annual Cycle in a Typical California City

机译:在典型的加利福尼亚城市中,年度周期内的超细参与物质(PM_(0.1))的每日趋势和源分配

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摘要

Toxicology studies indicate that inhalation of ultrafine particles (D_p < 0.1 μm) causes adverse health effects, presumably due to their large surface area-to-volume ratio that can drive heterogeneous reactions. Epidemiological associations between ultrafine particles and health effects, however, have been difficult to identify due to the lack of appropriate long-term monitoring and exposure data. The majority of the existing ultrafine particle epidemiology studies are based on exposure to particle number, although an independent analysis suggests that ultrafine particle mass (PM_(0.1)) correlates better with particle surface area. More information is needed to characterize PM_(0.1) exposure to fully evaluate the health effects of ultrafine particles using epidemiology. The present study summarizes 1 year of daily PM_(0.1), chemistry and source apportionment at Sacramento, CA, USA. Positive matrix factorization (PMF) was used to resolve PM_(0.1) source contributions from old-technology diesel engines, residential wood burning, rail, regional traffic, and brake wear/ road dust. Diesel PM_(0.1), and total PM_(0.1) concentrations were reduced by 97 and 26%, respectively, as a result of the adoption of cleaner diesel technology. The strong linear correlation between PM_(0.1) and particle surface area in central California suggests that the adoption of clean diesel engines reduced particle surface area by similar amounts. PM_(0.1) sulfate reduction occurred as a result of reduced primary particle surface area available for sulfate condensation. The current study demonstrates the capability of measuring PM_(0.1) source contributions over a 12 month period and identifies the extended benefits of emissions reduction efforts for diesel engines on ambient concentrations of primary and secondary PM_(0.1).
机译:毒理学研究表明,吸入超细颗粒(D_p <0.1μm)会造成不利的健康影响,大概是由于它们的大表面积体积比会导致异种反应。然而,由于缺乏适当的长期监测和暴露数据,很难确定超细颗粒与健康影响之间的流行病学关联。现有的大多数超细颗粒流行病学研究都是基于暴露于颗粒数,尽管一项独立分析表明,超细颗粒质量(PM_(0.1))与颗粒表面积的相关性更好。需要更多信息来表征PM_(0.1)暴露,以使用流行病学全面评估超细颗粒的健康影响。本研究总结了美国加利福尼亚萨克拉门托市1年的每日PM_(0.1),化学物质和来源分配。正矩阵分解(PMF)用于解决旧技术柴油发动机,住宅木材燃烧,铁路,区域交通以及制动器磨损/道路扬尘产生的PM_(0.1)源贡献。由于采用了更清洁的柴油技术,柴油中的PM_(0.1)和总PM_(0.1)浓度分别降低了97%和26%。在加利福尼亚州中部,PM_(0.1)与颗粒表面积之间的强线性相关性表明,采用清洁柴油发动机可以使颗粒表面积减少相似的数量。 PM_(0.1)硫酸盐的还原是由于可用于硫酸盐冷凝的初级粒子表面积减少而导致的。当前的研究展示了在12个月的时间内测量PM_(0.1)排放源贡献的能力,并确定了柴油机在一级和二级PM_(0.1)的环境浓度下减排工作的扩展收益。

著录项

  • 来源
    《Environmental Science & Technology》 |2013年第24期|13957-13966|共10页
  • 作者单位

    Department of Civil and Environmental Engineering, University of California at Davis, One Shields Avenue, Davis, California 95616, United States;

    Department of Civil and Environmental Engineering, University of California at Davis, One Shields Avenue, Davis, California 95616, United States;

    Department of Civil and Environmental Engineering, University of California at Davis, One Shields Avenue, Davis, California 95616, United States;

  • 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
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