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Determination of Fine Particulate Matter Composition and Development of the Organic Aerosol Monitor.

机译:细颗粒物成分的测定和有机气溶胶监测仪的开发。

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摘要

Tropospheric fine particulate matter (PM) poses serious health risks and has a significant impact on global climate change. The measurement of various aspects of PM is challenging due to its complex chemical nature. This dissertation addresses various aspects of PM, including composition, measurement, and visibility. The U.S. Environmental Protection Agency (EPA) proposed a new secondary standard based on visibility in urban areas using 24-h averaged measurements of either light scatter or PM concentration. However shorter averaging times may better represent human perception of visibility. Data from two studies conducted in Lindon, UT, 2012, and Rubidoux, CA, 2003, were used to compare different techniques to estimate visibility, particularly the effect of relative humidity on visibility estimations. Particle composition was measured in Salt Lake City during January-February of 2009. One-hour averaged concentrations of several gas phase and particle phase inorganic species were measured. The results indicate ammonium nitrate averages 40% of the total PM2.5 mass in the absence of inversions and up to 69% during strong inversions. Also, the formation of ammonium nitrate is nitric acid limited, while the formation of ozone appears to be oxidant and volatile organic carbon (VOC) limited. Reduction of NOx will reduce ammonium nitrate secondary particle formation, however, a decrease in NOx may increase ozone concentration.;Due to the complexity of PM it is poorly characterized. A large fraction of PM is composed of organic compounds, but these compounds are not regularly monitored due to limitations in current sampling techniques. The GC-MS Organic Aerosol Monitor (OAM) combines a collection device with thermal desorption, gas chromatography and mass spectrometry to quantitatively measure the carbonaceous components of PM on an hourly averaged basis. A compact GC and simple pre-concentrator were developed for the system to decouple separation from manual injection and enhance separation of environmentally-relevant polar organic compounds, such as levoglucosan. The GC-MS OAM is fully automated and has been successfully deployed in the field. It uses a chemically deactivated filter for collection followed by thermal desorption and GC-MS analysis. Laboratory tests show that detection limits range from 0.2 to 3 ng for many atmospherically relevant compounds. The GC-MS OAM was deployed in the field for semi-continuous measurement of the organic markers, levoglucosan, dehydroabietic acid, and several polycyclic aromatic hydrocarbons (PAHs) during winter (January to March), 2015 and 2016. Results illustrate the significance of this monitoring technique to more fully characterize the organic components of PM and identify sources of pollution.;Keywords: air pollution, fine particulate matter, PM2.5, secondary organic aerosol, organic markers, levoglucosan, PMF.
机译:对流层细颗粒物(PM)构成严重的健康风险,并且对全球气候变化具有重大影响。由于其复杂的化学性质,因此PM各个方面的测量都具有挑战性。本论文着眼于PM的各个方面,包括组成,测量和可见性。美国环境保护署(EPA)提出了一项新的二级标准,该标准基于市区的能见度,使用24小时的平均光散射或PM浓度测量值。但是,较短的平均时间可能会更好地代表人类对可见度的感知。来自于在美国犹他州Lindon和2012年在加利福尼亚州Rubidoux进行的两项研究的数据被用来比较不同的技术来估计能见度,特别是相对湿度对能见度估计的影响。在2009年1月至2月期间,在盐湖城测量了颗粒组成。测量了几种气相和颗粒相无机物的一小时平均浓度。结果表明,硝酸铵在不倒置的情况下平均占总PM2.5质量的40%,在强烈倒置的情况下高达69%。同样,硝酸铵的形成受到硝酸的限制,而臭氧的形成似乎受到氧化剂和挥发性有机碳(VOC)的限制。还原NOx会减少硝酸铵二次颗粒的形成,但是,降低NOx可能会增加臭氧浓度。 PM的很大一部分由有机化合物组成,但是由于当前采样技术的局限性,无法定期监测这些化合物。 GC-MS有机气溶胶监测仪(OAM)将收集装置与热脱附,气相色谱和质谱仪相结合,以每小时平均为基础定量测量PM的碳含量。该系统开发了紧凑型气相色谱仪和简单的预浓缩器,以使分离与手动进样脱钩,并增强了与环境相关的极性有机化合物(如左旋葡聚糖)的分离。 GC-MS OAM是完全自动化的,并已在现场成功部署。它使用化学灭活的过滤器进行收集,然后进行热脱附和GC-MS分析。实验室测试表明,许多与大气相关的化合物的检出限范围为0.2到3 ng。 GC-MS OAM已在野外部署,用于在冬季(2015年1月至3月)和2016年1月至3月半连续测量有机标记物,左旋葡聚糖,脱氢松香酸和几种多环芳烃(PAHs)。关键词:空气污染,细颗粒物,PM2.5,二次有机气溶胶,有机标记物,左旋葡聚糖,PMF。

著录项

  • 作者

    Cropper, Paul Michael.;

  • 作者单位

    Brigham Young University.;

  • 授予单位 Brigham Young University.;
  • 学科 Analytical chemistry.;Atmospheric chemistry.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 142 p.
  • 总页数 142
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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