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Identification of the sources of PM_(10) in a subway tunnel using positive matrix factorization

机译:基于正矩阵分解的地铁隧道PM_(10)来源识别

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The level of particulate matter of less than 10 μm diameter (PM_(10)) at subway platforms can be significantly reduced by installing a platform screen-door system. However, both workers and passengers might be exposed to higher PM_(10) levels while the cars are within the tunnel because it is a more confined environment. This study determined the PM_(10) levels in a subway tunnel, and identified the sources ofPM_(10) using elemental analysis and receptor modeling. Forty-four PM_(10) samples were collected in the tunnel between the Gireum and Mia stations on Line 4 in metropolitan Seoul and analyzed using inductively coupled plasma-atomic emission spectrometry and ion chromatography. The major PM_(10) sources were identified using positive matrix factorization (PMF). The average PM_(10) concentration in the tunnels was 200.8 ± 22.μg/m~3. Elemental analysis indicated that the PM_(10) consisted of 40.4% inorganic species, 9.1% anions, 4.9% cations, and 45.6% other materials. Iron was the most abundant element, with an average concentration of 72.5 ± 10.4 μg/m~3. The PM_(10) sources characterized by PMF included rail, wheel, and brake wear (59.6%), soil combustion (17.0%), secondary aerosols (10.0%), electric cable wear (8.1%), and soil and road dust (5.4%). Internal sources comprising rail, wheel, brake, and electric cable wear made the greatest contribution to the PM_(10) (67.7%) in tunnel air. Implications: With installation of a platform screen door, PM_(10) levels in subway tunnels were higher than those on platforms. Tunnel PM_(10) levels exceeded 150 μg/m~3 of the Korean standard for subway platform. Elemental analysis of PM_(10) in a tunnel showed that Fe was the most abundant element. Five PM_(10) sources in tunnel were identified by positive matrix factorization. Railroad-related sources contributed 68% of PM_(10) in the subway tunnel.
机译:通过安装平台屏蔽门系统,可以大大减少地铁站台上直径小于10μm的颗粒物(PM_(10))的水平。但是,当汽车在隧道内时,工人和乘客都可能会暴露于较高的PM_(10)水平,因为这是一个更狭窄的环境。这项研究确定了地铁隧道中的PM_(10)水平,并使用元素分析和受体模型确定了PM_(10)的来源。在首尔市区4号线Gireum和Mia站之间的隧道中收集了44个PM_(10)样品,并使用电感耦合等离子体原子发射光谱法和离子色谱法进行了分析。使用正矩阵分解(PMF)识别了主要的PM_(10)来源。隧道内平均PM_(10)浓度为200.8±22.μg/ m〜3。元素分析表明,PM_(10)由40.4%的无机物,9.1%的阴离子,4.9%的阳离子和45.6%的其他材料组成。铁是最丰富的元素,平均浓度为72.5±10.4μg/ m〜3。 PMF表征的PM_(10)来源包括轨道,车轮和制动器磨损(59.6%),土壤燃烧(17.0%),二次气溶胶(10.0%),电缆磨损(8.1%)以及土壤和道路灰尘( 5.4%)。包括铁轨,车轮,制动器和电缆磨损在内的内部来源对隧道空气中的PM_(10)贡献最大(67.7%)。含义:安装了平台屏蔽门后,地铁隧道中的PM_(10)水平高于平台上的水平。隧道PM_(10)水平超过了韩国地铁平台标准的150μg/ m〜3。隧道中PM_(10)的元素分析表明,Fe是最丰富的元素。通过正矩阵分解确定了隧道中的五个PM_(10)源。与铁路有关的消息来源在地铁隧道中贡献了PM_(10)的68%。

著录项

  • 来源
    《Journal of the air & waste management association 》 |2014年第12期| 1361-1368| 共8页
  • 作者单位

    Eco-Transport Research Division, Korea Railroad Research Institute, Uiwang, Korea;

    Department of Environmental Science and Engineering, Kyung Hee University, Yongin, Korea;

    Eco-Transport Research Division, Korea Railroad Research Institute, Uiwang, Korea;

    Eco-Transport Research Division, Korea Railroad Research Institute, Uiwang, Korea,Mechanical Engineering Department, Sungkyunkwan University, Suwon, Korea;

    Eco-Transport Research Division, Korea Railroad Research Institute, Uiwang, Korea,Mechanical Engineering Department, Sungkyunkwan University, Suwon, Korea;

    Department of Bio and Environmental Science, Dongnam Health College, Suwon, Korea;

    Department of Environmental Science and Engineering, Kyung Hee University, Yongin, Korea;

    Department of Environmental Health and Institute of Health and Environment, Graduate School of Public Health, Seoul National University, Seoul, Korea,Graduate School of Public Health, Seoul National University, 1 Gwanak-ro Gwanak-gu, Seoul 151-470, Korea;

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