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首页> 外文期刊>Environmental Science & Technology >Gas-Particle Partitioning of Primary Organic Aerosol Emissions: (2) Diesel Vehicles
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Gas-Particle Partitioning of Primary Organic Aerosol Emissions: (2) Diesel Vehicles

机译：主要有机气溶胶排放物的气体-颗粒分配：（2）柴油车

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Experiments were performed to investigate the gas-particle partitioning of primary organic aerosol (POA) emissions from two medium-duty (MDDV) and three heavy-duty (HDDV) diesel vehicles. Each test was conducted on a chassis dynamometer with the entire exhaust sampled into a constant volume sampler (CVS). The vehicles were operated over a range of driving cycles (transient, high-speed, creep/idle) on different ultralow sulfur diesel fuels with varying aromatic content. Four independent yet complementary approaches were used to investigate POA gas-particle partitioning: artifact correction of quartz filter samples, dilution from the CVS into a portable environmental chamber, heating in a thermodenuder, and thermal desorption/gas chromatography/mass spectrometry (TD-GC-MS) analysis of quartz filter samples. During tests of vehicles not equipped with diesel participate filters (DPF), POA concentrations inside the CVS were a factor of 10 greater than ambient levels, which created large and systematic partitioning biases in the emissions data. For low-emitting DPF-equipped vehicles, as much as 90% of the POA collected on a quartz filter from the CVS were adsorbed vapors. Although the POA emission factors varied by more than an order of magnitude across the set of test vehicles, the measured gas-particle partitioning of all emissions can be predicted using a single volatility distribution derived from TD-GC-MS analysis of quartz filters. This distribution is designed to be applied directly to quartz filter data that are the basis for existing emissions inventories and chemical transport models that have implemented the volatility basis set approach.
机译：进行了实验，以研究来自两辆中型（MDDV）和三辆重型（HDDV）柴油车辆的一次有机气溶胶（POA）排放物的气体颗粒分配。每次测试都是在底盘测功机上进行的，所有排气都采样到恒定体积采样器（CVS）中。这些车辆使用各种芳族含量不同的超低硫柴油，在一系列的驾驶循环（瞬态，高速，蠕变/怠速）下运行。四种独立但互补的方法用于研究POA气体颗粒分配：石英滤池样品的伪影校正，从CVS稀释到便携式环境室中，在热剥蚀仪中加热以及热脱附/气相色谱/质谱（TD-GC） -MS）分析石英过滤器样品。在未配备柴油参与式过滤器（DPF）的车辆的测试过程中，CVS内部的POA浓度比环境水平大10倍，这在排放数据中产生了较大且系统的分配偏差。对于配备低排放量DPF的车辆，从石英玻璃滤清器收集的从CVS收集的POA中，多达90％是吸附的蒸气。尽管POA排放因子在整个测试车辆中的变化幅度大于一个数量级，但是可以使用从石英滤池的TD-GC-MS分析得出的单个挥发性分布来预测所有排放的测量气体颗粒分配。该分布旨在直接应用于石英过滤器数据，这些数据是已实施挥发性基准集方法的现有排放清单和化学迁移模型的基础。

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  • 来源
    《Environmental Science & Technology》 |2013年第15期|8288-8296|共9页
  • 作者

    Andrew A May; Albert A. Presto; Christopher J. Hennigan; Ngoc T. Nguyen; Timothy D. Gordon; Allen L. Robinson;

  • 作者单位

    Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, Pennsylvania 15289, United States;

    Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, Pennsylvania 15289, United States;

    Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, Pennsylvania 15289, United States;

    Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, Pennsylvania 15289, United States;

    Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, Pennsylvania 15289, United States;

    Center for Atmospheric Particle Studies, Carnegie Mellon University, Pittsburgh, Pennsylvania 15289, 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);
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