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Non-polar organic compounds in autumn and winter aerosols in a typical city of eastern China: size distribution and impact of gas-particle partitioning on PM2.5 source apportionment

机译:秋季和冬季气溶胶中的非极性有机化合物在中国典型的城市:大小分布和气体粒子分配对PM2.5源分配的影响

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摘要

Aerosol-associated non-polar organic compounds (NPOCs), including 15 polycyclic aromatic hydrocarbons (PAHs), 30 n-alkanes, 2 iso-alkanes, 5 hopanes and 5 steranes, were identified and quantified in PM2.5 samples using the thermal desorption-gas chromatography-mass spectrometry (TD-GC-MS) method. The samples were mainly collected in autumn and winter in a typical city of eastern China. The total concentrations of NPOCs were 31.7-388.7 ngm(-3), and n-alkanes were the most abundant species (67.2 %). The heavy-molecular-weight PAHs (four-and fivering) contributed 67.9% of the total PAHs, and the middle-chain-length n-alkanes (C25-C34) were the most abundant (72.3 %) in n-alkanes. PAHs and n-alkanes were mainly distributed in the 0.56-1.00 mu m fraction, while P (hopanes C steranes) were associated with the 0.32-1.00 mu m fraction, suggesting condensation of combustion products was their important origin. The ratio-ratio plots indicated that NPOCs in the local area were affected by photochemical degradation. To reduce the uncertainty caused by only particle NPOC data for source apportionment, the particle and predicted gaseous-phase NPOCs, incorporated with other PM2.5 compound were used as input data for the positive matrix factorization (PMF) model. Eight factors were extracted for both cases: secondary aerosol formation, vehicle exhaust, industrial emission, coal combustion, biomass burning, ship emission, and dust and light NPOCs. These findings highlight the emissions from different aerosol-associated NPOC origins, which caused different size-specific distributions, photodegradation and gas-particle partitioning, which further affect PM2.5 source apportionment. Considering these effects on organic tracers will help us accurately identify the potential sources of aerosols and then asses the contributions from each source.
机译:包括15个样品中,在PM2.5样品中鉴定出气溶胶相关的非极性有机化合物(NPOC),包括15个多环芳烃(PAH),30正烷烃,2次异烷烃,5次料斗和5甾烷烃,用热解吸在PM2.5样品中定量-GAS色谱 - 质谱(TD-GC-MS)方法。该样品主要在中国东部典型的秋冬收集。 NPOC的总浓度为31.7-388.7 ngm(-3),N-烷烃是最丰富的物种(67.2%)。重分子量的PAHs(四和致致致致态)占总PAH的67.9%,中链长度N-烷烃(C25-C34)是N-烷烃中最丰富(72.3%)。 PAHS和N-烷烃主要分布在0.56-1.00 mu m馏分中,而P(料斗C甾体甾烷)与0.32-1.00 mu m分数有关,表明燃烧产物的凝结是它们的重要起源。比率比例表明局部区域中的NPOC受光化学降解的影响。为了减少仅由源分配的粒子NPOC数据引起的不确定性,用与其他PM2.5化合物掺入的粒子和预测的气相NPOC作为正矩阵分子(PMF)模型的输入数据。两种情况下提取了八种因素:二次气溶胶形成,车辆排气,工业排放,煤燃烧,生物量燃烧,船舶发射和灰尘和轻型NPOC。这些发现突出了不同气溶胶相关的NPOC起源的排放,这引起了不同的尺寸特异性分布,光降解和气体粒子分配,从而进一步影响PM2.5源分配。考虑到这些对有机示踪剂的影响将有助于我们准确识别气溶胶的潜在来源,然后判断每个来源的贡献。

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  • 来源
    《Atmospheric chemistry and physics》 |2018年第1期|共17页
  • 作者单位

    Shanghai Jiao Tong Univ Sch Environm Sci &

    Engn Shanghai 200240 Peoples R China;

    Shanghai Environm Monitor Ctr Shanghai 200235 Peoples R China;

    Shanghai Environm Monitor Ctr Shanghai 200235 Peoples R China;

    Shanghai Acad Environm Sci State Environm Protect Key Lab Cause &

    Prevent Ur Shanghai 200233 Peoples R China;

    Shanghai Acad Environm Sci State Environm Protect Key Lab Cause &

    Prevent Ur Shanghai 200233 Peoples R China;

    Shanghai Acad Environm Sci State Environm Protect Key Lab Cause &

    Prevent Ur Shanghai 200233 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci &

    Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci &

    Engn Shanghai 200240 Peoples R China;

    Jiujiang Univ Sch Chem &

    Environm Engn Jiujiang 332005 Jiangxi Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci &

    Engn Shanghai 200240 Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci &

    Engn Shanghai 200240 Peoples R China;

    Hong Kong Univ Sci &

    Technol Dept Chem Hong Kong 999077 Hong Kong Peoples R China;

    Shanghai Jiao Tong Univ Sch Environm Sci &

    Engn Shanghai 200240 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大气科学(气象学);
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