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Source apportionment of PM2.5 in Cork Harbour, Ireland using a combination of single particle mass spectrometry and quantitative semi-continuous measurements

机译:结合单颗粒质谱和定量半连续测量技术,对爱尔兰科克港PM2.5的源进行分摊

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摘要

An aerosol time-of-flight mass spectrometer (ATOFMS) was deployed for the measurement of the size resolved chemical composition of single particles at a site in Cork Harbour, Ireland for three weeks in August 2008. The ATOFMS was co-located with a suite of semi-continuous instrumentation for the measurement of particle number, elemental carbon (EC), organic carbon (OC), sulfate and particulate matter smaller than 2.5 μm in diameter (PM2.5). The temporality of the ambient ATOFMS particle classes was subsequently used in conjunction with the semi-continuous measurements to apportion PM2.5 mass using positive matrix factorisation. The synergy of the single particle classification procedure and positive matrix factorisation allowed for the identification of six factors, corresponding to vehicular traffic, marine, long-range transport, various combustion, domestic solid fuel combustion and shipping traffic with estimated contributions to the measured PM2.5 mass of 23%, 14%, 13%, 11%, 5% and 1.5% respectively. Shipping traffic was found to contribute 18% of the measured particle number (20–600 nm mobility diameter), and thus may have important implications for human health considering the size and composition of ship exhaust particles. The positive matrix factorisation procedure enabled a more refined interpretation of the single particle results by providing source contributions to PM2.5 mass, while the single particle data enabled the identification of additional factors not possible with typical semi-continuous measurements, including local shipping traffic.
机译:于2008年8月在爱尔兰科克港的一个地点部署了一个气溶胶飞行时间质谱仪(ATOFMS),用于测量尺寸分辨的单个颗粒的化学成分。该ATOFMS与一套套件位于同一地点半连续仪器的测量,用于测量粒径小于2.5μm(PM2.5)的颗粒数,元素碳(EC),有机碳(OC),硫酸盐和颗粒物。随后将环境ATOFMS粒子类别的时间性与半连续测量结合使用正矩阵分解法分配PM2.5质量。单一颗粒分类程序和正矩阵分解的协同作用可以识别六个因素,分别对应于车辆运输,海上运输,远程运输,各种燃烧,国内固体燃料燃烧和运输运输,并对测得的PM2有贡献。 5质量分别为23%,14%,13%,11%,5%和1.5%。船舶运输量占被测颗粒数量(20-600 nm迁移直径)的18%,因此考虑到船舶废气颗粒的大小和成分,可能对人类健康产生重要影响。通过提供源对PM2.5质量的贡献,正矩阵分解程序可以对单粒子结果进行更精细的解释,而单粒子数据可以识别典型的半连续测量无法实现的其他因素,包括本地运输量。

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