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首页> 外文期刊>Atmospheric environment >Identification of sources of atmospheric PM at the Pittsburgh Supersite, Part Ⅰ: Single particle analysis and filter-based positive matrix factorization
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Identification of sources of atmospheric PM at the Pittsburgh Supersite, Part Ⅰ: Single particle analysis and filter-based positive matrix factorization

机译:匹兹堡超级站点大气PM的来源识别,第Ⅰ部分:单颗粒分析和基于过滤器的正矩阵分解

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During the Pittsburgh Air Quality Study (PAQS), July 2001-September 2002, three co-located instruments analyzed the composition of ambient particulate matter (PM): (1) A single particle mass spectrometer, RSMS-3, was deployed to obtain high-temporal-resolution measurements of single particle size (> 1.1 μm) and composition which were correlated with meteorological data to identify sources; (2) PM_(2.5) and PM_(10) were collected on cellulose filters using high-volume (hi-vol) samplers, followed by microwave-assisted digestion and analysis by inductively coupled plasma-mass spectrometry (ICP-MS). Positive matrix factorization (PMF) was used to identify possible source categories; and (3) a micro-orifice uniform-deposit impactor (MOUDI) obtained size-distributed samples of PM. Several days of MOUDI filters were selected for microwave-assisted digestion and analysis by ICP-MS. In this paper, sources identified using the single particle data were compared to the PMF results for the hi-vol/ICP-MS data. The strengths of each method were combined to hypothesize the most likely sources of various elements in ambient PM in Pittsburgh. In the final results, Mo and Cr are attributed to local specialty steel facilities; Fe, Mn, Zn, and K are attributed to a steel mill SE of the monitoring station; internally mixed Pb-containing particles are attributed to a major source to the NW; and Ga is attributed to coal combustion sources to the NW. There is a notable lack of oil combustion sources. The MOUDI data were used to resolve discrepancies between the single particle and hi-vol/ICP-MS data concerning the detection of Ti and Se. The hi-vol data showed appreciable Ti and Se masses, but RSMS-3 was unable to detect significant numbers of Ti-containing particles because of their large size, while we hypothesize that the volatility of Se caused it to be distributed more evenly over all emitted particles such that the amount of Se in any individual particle is below the limit of detection.
机译:在2001年7月至2002年9月的匹兹堡空气质量研究(PAQS)中,使用了三台位于同一地点的仪器分析了环境颗粒物(PM)的成分:(1)部署了单颗粒质谱仪RSMS-3以获取高单个粒径(> 1.1μm)和成分的时空分辨率测量结果,与气象数据相关以识别来源; (2)使用大容量(高容量)采样器在纤维素滤膜上收集PM_(2.5)和PM_(10),然后进行微波辅助消化和电感耦合等离子体质谱(ICP-MS)分析。正矩阵分解(PMF)用于确定可能的来源类别; (3)微孔均匀沉积撞击器(MOUDI)获得了PM尺寸分布的样品。选择了几天的MOUDI过滤器用于微波辅助消解和ICP-MS分析。在本文中,将使用单颗粒数据确定的来源与高通量/ ICP-MS数据的PMF结果进行了比较。结合每种方法的优势,假设匹兹堡环境PM中各种元素的最可能来源。在最终结果中,钼和铬归因于当地的特种钢设施。 Fe,Mn,Zn和K归因于监测站的钢铁厂SE;内部混合的含Pb颗粒是NW的主要来源; Ga归因于西北的煤炭燃烧源。明显缺乏燃油燃烧源。 MOUDI数据用于解决单个粒子与涉及Ti和Se检测的hi-vol / ICP-MS数据之间的差异。高通量数据显示出相当大的Ti和Se质量,但是RSMS-3由于其大尺寸而无法检测出大量的含Ti颗粒,而我们假设Se的挥发性导致其在所有颗粒上的分布更加均匀。发射出的粒子,使得任何单个粒子中的硒含量都低于检测极限。

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